<?xml version="1.0" encoding="iso-8859-1"?>
<indexedmzML xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://psi.hupo.org/ms/mzml http://psidev.info/files/ms/mzML/xsd/mzML1.1.0_idx.xsd" xmlns="http://psi.hupo.org/ms/mzml">
  <mzML xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://psi.hupo.org/ms/mzml http://psidev.info/files/ms/mzML/xsd/mzML1.1.0.xsd" version="1.1.0">
    <cvList count="2">
      <cv URI="https://raw.githubusercontent.com/HUPO-PSI/psi-ms-CV/master/psi-ms.obo" fullName="MS" id="MS" />
      <cv URI="https://raw.githubusercontent.com/bio-ontology-research-group/unit-ontology/master/uo.obo" fullName="UO" id="UO" />
    </cvList>
    <fileDescription>
      <fileContent>
        <cvParam cvRef="MS" accession="MS:1000583" name="SRM spectrum" />
      </fileContent>
      <sourceFileList count="1">
        <sourceFile id="WF1" location="file:///F:/Research/20260625-mzPeak-Demo-Data/SCIEX-QTRAP-6500plus-PXD022801" name="RQC.wiff">
          <cvParam cvRef="MS" accession="MS:1000562" name="ABI WIFF format" />
          <cvParam cvRef="MS" accession="MS:1000770" name="WIFF nativeID format" />
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="a74a21ebb9f5dd23b677879dfca3d7b7c3e5ba8" />
        </sourceFile>
      </sourceFileList>
    </fileDescription>
    <referenceableParamGroupList count="1">
      <referenceableParamGroup id="sample32experiment1SpectrumParams">
        <cvParam cvRef="MS" accession="MS:1000583" name="SRM spectrum" />
        <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1" />
        <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" />
        <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
      </referenceableParamGroup>
    </referenceableParamGroupList>
    <softwareList count="2">
      <software version="1.6.3" id="SCIEXsoftware">
        <cvParam cvRef="MS" accession="MS:1000551" name="Analyst" />
      </software>
      <software version="2.0.1.0" id="SCIEXMSDataConverter">
        <cvParam cvRef="MS" accession="MS:1003447" name="SCIEX MS Data Converter" />
      </software>
    </softwareList>
    <instrumentConfigurationList count="1">
      <instrumentConfiguration id="instrumentConfiguration1">
        <cvParam cvRef="MS" accession="MS:1002581" name="QTRAP 6500" />
        <cvParam cvRef="MS" accession="MS:1000529" name="instrument serial number" value="BL20451209" />
        <componentList count="3">
          <source order="1">
            <cvParam cvRef="MS" accession="MS:1000008" name="ionization type" />
          </source>
          <analyzer order="2">
            <cvParam cvRef="MS" accession="MS:1000081" name="quadrupole" />
          </analyzer>
          <detector order="3">
            <cvParam cvRef="MS" accession="MS:1000026" name="detector type" />
            <cvParam cvRef="MS" accession="MS:1000118" name="pulse counting" />
          </detector>
        </componentList>
        <softwareRef ref="SCIEXsoftware" />
      </instrumentConfiguration>
    </instrumentConfigurationList>
    <dataProcessingList count="1">
      <dataProcessing id="dataProcessing1">
        <processingMethod order="1" softwareRef="SCIEXsoftware">
          <cvParam cvRef="MS" accession="MS:1000035" name="peak picking" />
        </processingMethod>
        <processingMethod order="2" softwareRef="SCIEXMSDataConverter">
          <cvParam cvRef="MS" accession="MS:1000544" name="Conversion to mzML" />
        </processingMethod>
      </dataProcessing>
    </dataProcessingList>
    <run defaultInstrumentConfigurationRef="instrumentConfiguration1" id="run1">
      <spectrumList defaultDataProcessingRef="dataProcessing1" count="0" />
      <chromatogramList defaultDataProcessingRef="dataProcessing1" count="100">
        <chromatogram id="TIC" defaultArrayLength="2265" index="0">
          <cvParam cvRef="MS" accession="MS:1000235" name="total ion current chromatogram" />
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="6444">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=72.993 Q3=72.993 sample=32 experiment=1 RT=3.45 ce=-10.00 name=Glyoxylate" defaultArrayLength="2265" index="1">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="72.9931" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="72.9931" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="3764">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=74.025 Q3=74.025 sample=32 experiment=1 RT=3.89 ce=-10.00 name=glycine" defaultArrayLength="2265" index="2">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="74.0247" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="74.0247" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="412">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0k0rRFEcx/Fb9lMkKwtLW+UFXLYoyQuwtdGUmmJ1jBlJkWGQLCizmSjULBTl5iF2ysJDKVMsWKhZYGMj53fO4tzyBvT9bL79z71z7p05E0UAAABASmE5tq1tqvlttbKhtpbUeDFsMqOOzKrRpLs+n/pcav5YUV/cXF9QzXS4b0fRzTl335Tbz4TrZjy8Hs2F+/jnZfbVtxNb83xnOzjQsG0cfdlmvz9t62Ovur/9yTbputHcdqW2XKrd17bxnvaLLx61vnOr5nXd9N1rnni37dxt6vltf7XZNlvN2JqS3iM6fFDXT933PlZHz4KaXOLe50Adqqi9W6o/X39Ow+Vw/XxVLa+p/nfz6/6c/PzXPn6uLan+/wMAAAAAAAAAAAAAAAAAAAAAAAAAAIB/5wflUG93</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=87.009 Q3=87.009 sample=32 experiment=1 RT=2.16 ce=-10.00 name=Pyruvic_acid" defaultArrayLength="2265" index="3">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="87.0087" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="87.0087" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="468">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0j9LQlEch3EjsKWgwaHoDSQEtbWJQRBEQzTV5iuIBkeHaGhwco1AKtP+qGVGRU5ZFEkSViAN1lRBW1M1VATn+7vDnWt8PsvDOefeo55jIAAA+HfTu1HXSFkN2finqDbzaqKkpm39YV+tWMN7asz2qdrz8aJ/3+sdNWlNl/zr3v7lnPpk4yHbZ9y+z7C9N7Xpny9s+Zuy+VDW/1ynvRcrqDO2X/ZIvTt3Pck0XVcGX10nez9cL0/bRtxzX0HXz4EO154xtXHT7hpd/HHPd9feXede3lznl57V2qM+L3/vGq3datxqaP1YDXzX1YkrzYcvNK6faVw90bh5qIatiQP/7+uy++qze/LOO7Gtev+HoJ2Td1/eObXs3Ppz/rF3P2k751lbr2TU5Lp9/1U1bvMLG6p3H6llNWLzo/Zebk0FAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOCPfgExRYG2</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=87.045 Q3=86.900 sample=32 experiment=1 RT=1.02 ce=-15.00 name=1-butyric_acid" defaultArrayLength="2265" index="4">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="87.0451" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-15" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="86.9" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="400">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0rtKw1AAxvE6GQQfwK2DjyDSwaEPIBh8BpE8RJFM3nCyjdb7BRVra9VBXDsoboJbkeAreKEPIOT7IqSzg8P/t/w5uZ1zkpRKwD8TXFSzDg7V+EBNd9TOnjrj841d9fNYrZ2oSy21e62O3qlRV517yBonz1mrE68aj7sjL7pu7Unjj57GX/dq61Z9O1evPG94pDa9vtTrH3idfV8XNdVJny97f6H3V0vUhYb3uen9b7t1NfBz+knxeGXL8/u58dA68vvy5vNPeZ7Kus+vej/LXvdG8XjZ84YrxfHj0HOjfXX61Ov0ewvb6uKlOu/vNdZR329cH0/bxfu//b8EZ2rP/8Gs3/Pvf+L3AQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgD/3A/twaIw=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=88.040 Q3=88.040 sample=32 experiment=1 RT=3.63 ce=-10.00 name=alanine_" defaultArrayLength="2265" index="5">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="88.0404" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="88.0404" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="456">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0s8rw3Ecx/HlpChzcuEqxWElEZe57ShFjjs4+AfIRS3NSGR+LD8uvmb5mdqBLKbmxxKlHHYQSk25KW7aST6vz/fwXW5yez4uzz6fT9/ve59v8/kAAADwZ5HpoKl/Rg3H1cy4GphTnVl1aPL3/YcJ77m7H1ry7rvrpvmgZ747t3zO15R9Lup9zj33J9TomlrctM+tqwV7Prjsvae/bD/sqNlVtXNLHdi1v9O+93ZbzSS9cz42vPOv7Pvq7Tq+o+6l1MW0un+opo5MIzXnprmuR1On9dN0Zayi+6eVo1Wm2Z4607ezZtNSqN20obrNdKS/0bTjpdY04JT0vt53zUsU1b5nzYsVND94Z+95be+VV2MXOn+91DqfU0O2T1k1fapGT9SbYzV5oLbY7+B+98yC6v5/7oe9awAAAAAAAAAAAAAAAAAAAAAAAAAAAOCffQPBH3pE</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=89.024 Q3=89.024 sample=32 experiment=1 RT=2.87 ce=-10.00 name=L-lactic_acid" defaultArrayLength="2265" index="6">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="89.0244" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="89.0244" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="576">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=102.056 Q3=101.900 sample=32 experiment=1 RT=2.98 ce=-10.00 name=dimethylglycine_(DMG)" defaultArrayLength="2265" index="7">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="102.056" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="101.9" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="452">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0c8rw3Ecx3Eu8ic4ODhoLS3tLxD/h3KVxJJfLWV+jCEaQoi0paWZQuHg8E1Lkx12kHZwUMp5FzdJfV6fz+Gz9gdIz8fl2ef72fe79/fzbWoCAAB/wvhBr2l5X33ZaVz3u8ENdWbXX0c3/XVkW+1YUYNZNZxUU/NqZVmNrfpr1zf73LCdY/hYbT9XWy/Vh4J/PZ7z19WMP3fVzre4ZdcLatu6WlprPI97T3dfdM6/rzKlJobs/oQaDNjrY/5+MOrvx+L+PG5ON0/nntqdVfvt+yev7P33auhWzd2oRXsOXad23iPVnW/RrqeX1Ejd/6bSfuvPx30/973d93LnXTpUoxnVfZ/JM/Uxrxau1eydWn4yDXpeTROhT9P0yJdp7aO5zzz+ucW0klffL37M/sl3Tc8BAAAAAAAAAAAAAAAAAAAAAAAAAAAA8C/9AjFvgyc=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=103.040 Q3=56.910 sample=32 experiment=1 RT=2.39 ce=-30.00 name=2-hydroxyisobutyric_acid" defaultArrayLength="2265" index="8">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="103.04" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="56.91" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="312">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0qFKBFEUgOHN4kNMWdCkjzBhbRZhkoKssEGLIIhRTMKyxWAyjVEsVsFgsdhMgmlBH8MgzJk7cEdFDGL5vvJz7lyGM+wOBgCQjMq/ff7T/f5clfl529Xj6NI0unsRXbyObtxGVx6jy89N6+k85q23pvO116bjnTg/uXppej9+inuzh+jwLrpwE12/jG7W0eI83+f9LFoftT3N964P8ufFfm8+zO+l7y4mX7fcbue9/H73vkl+/m170nvT75Dmbq8qn9Pe6Xu6vXt7fWrVa/Lb/xMAAAAAAAAAAAAAAAAAAAD/5QPaDUGg</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=103.040 Q3=56.900 sample=32 experiment=1 RT=2.39 ce=-30.00 name=2-hydroxybutyric_acid" defaultArrayLength="2265" index="9">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="103.04" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="56.9" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="312">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0bFqwlAYhuEMXoijk3gBDmcIvQLnuri4SCulUARpxd1SoZgtUFBwcit0KB2cFR26OFTqZdhByJcT+AMlBZcO77O8nP/ASU4SBAAANJxdh872XEXn/HG/3ErbTjtUS8/qxUx9f1WPq6Ru+qn17kvdfqvNQ9KP8V7t7pLerzdqtLTnvc3V6otaidT6k/rzqF6N1P1AXfTUyYMa39p5rW/v5S5ty53cvW9U/9+y79Ky818bFsy9dB1f557fsc327+x5fp6/j2+m6D0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP/dCdpERbw=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=104.035 Q3=74.000 sample=32 experiment=1 RT=4.06 ce=-30.00 name=L-serine" defaultArrayLength="2265" index="10">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="104.0353" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="74" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="184">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0TEKwjAUBuAcyzGTeILOujh1aU/QxdnNxc3ZQ/RoDkkLCUJBtBT5vuXnJeG9kIQAAAAbNezjqn1/Ne9T9X2ObSxyd035vKfsH/n8LeXhkusu5djEou9Uh1OZ83pW10v3HM/x/Xo1b9r/9rvX/bb2rwAAAAAAAAAAAAAAAAAAf+gF24cdyA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=112.054 Q3=68.003 sample=32 experiment=1 RT=1.73 ce=-15.00 name=creatinine" defaultArrayLength="2265" index="11">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="112.0539" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-15" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="68.0033" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="352">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0r1KA0EUhuEpUlimDnZexXZTBWurrYIIAUEIFiksx8JKjBbWS4oU6YNgIMVISKepAoK5iVyAhbBnz8LM/mBh5/s0H+fMcGb2xxgA/4o7s2EjsUFW1gs+DfdV/HKOO60/X/ua08twjqbeww/CfVqX+3XesH296fx4vfLcUV/vcbgu6hvJp0fJ75nkapGnO15LZlvJ8888/eYrT3u/l/5SatPbSSYfkidvkv0Xye5c8j2T7DxL2gfJo0lxn7vwfq+3YZpx+Dz+KqpH9f34ven7Lr9XGq1rrf9J0tCPuIv288o58fce1s8DAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB/4gcChmLp</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=114.056 Q3=114.056 sample=32 experiment=1 RT=3.30 ce=-10.00 name=Proline" defaultArrayLength="2265" index="12">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="114.056" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="114.056" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="568">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=115.004 Q3=70.900 sample=32 experiment=1 RT=4.19 ce=-15.00 name=fumaric_acid" defaultArrayLength="2265" index="13">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="115.0037" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-15" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="70.9" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="296">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0j0KwkAQhmGPllto5wFSiAQJIoL//4VHsbS0TLlljiO48y3M4AXE92k+ktnd2Wx2MAAAAAD+RHeoPvk6W15zpq1/7o4+06Zy87t9zn7l56ddzsfy+3jVS7+Tr6vf8+brmveaWI4t5/45TcM45dCytnGNr6dZeF+HehPqoZ9ydA/7vYR9tjn7dUido9YL+ynn1YbvsnV13srYT/NLfZGz3Acbr/+s/tqX6hqvfWudkupb+/dl3bCP8t26F9ZX9wAAAAAAAAAAAAAAAAAAAAAAAAAAAOCHvAFoZIF9</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=116.047 Q3=73.900 sample=32 experiment=1 RT=3.70 ce=-15.00 name=guanidinoacetic_acid" defaultArrayLength="2265" index="14">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="116.0465" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-15" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="73.9" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="284">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0DFKxEAUgOG5hp5i8QTT7hHsBGHBWrCOnaKFFkK2WxU7GztLQRCLRQTv4DUU8mbEzK5YavF9zU+Sx5shKQEA8HeO8pCt6+jH/dBu4zE6exmaN9+GPry/xlz3FF3GfOovos+n0Z2D6GR/fbvtaN4dz/eHpfNouorOSvvL0vPx/GJvvK/ur+9ru2lO39X5qr3XyvdpXtt27jf1nLZf92/uuXJume+Po5OT8nwTnd9Fl7dlz6I8n0V/+l/t/rYAAAAAAAAAAAAAAAAAAPBPfQKOaEoF</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=116.072 Q3=116.070 sample=32 experiment=1 RT=3.05 ce=-10.00 name=valine" defaultArrayLength="2265" index="15">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="116.072" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="116.07" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="588">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=116.072 Q3=116.072 sample=32 experiment=1 RT=4.03 ce=-10.00 name=5-Amino_pentanoic_acid" defaultArrayLength="2265" index="16">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="116.0717" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="116.0717" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="388">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztz7tKA0EUh/EpLSX4AD6A6UNIIfgM3op0Yi2WIrilwhrERA1B4w1UsFKjxkuIRgUrG1tbmzyABAQR/Z8pzgOIzfdrPubs7OxsCAAAAMA/a9wP/ySZevptmLc+32me6Wj9qX1hsa15Xs/D2q06bS2fq+9N/3zc1gNXasf2LVyoIzYvnqmpddbmtUu//+tUbV2rJTXJPmjdflRfbT2pe4e5G3+frn1n9ESdsXOPjtXBA/VjR+3bVHMrtq+i9kp+3r9k562qQ2U7b12tbqjJsn8+UfV9s/1pzZ8Xz0/37ft1NW/37Nq8cKhm9vz/vNi6UPf7Y+P/Jlvq2K7/Tnwv3q+57ecN2w8AAAAAAAAAAAAAAAAAAAAAAAAAAIA/9w3iym3B</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=117.019 Q3=73.100 sample=32 experiment=1 RT=3.96 ce=-30.00 name=Succinic_acid" defaultArrayLength="2265" index="17">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="117.0193" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="73.1" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="144">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0TEOgCAMAECe4lNcfQKzk7/wKT7VwTCA0RIWHe6WpqS0JaQEAAAf2Ze5iu35U97dPw/eC/YqcVqveGx1XuLonFtdfq/r7dPuWfJov0g7P3zP4H8CAAAAAAAAAAAAAAAAAPBbJ//cG7w=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=117.056 Q3=71.000 sample=32 experiment=1 RT=1.89 ce=-15.00 name=2-hydroxyisovaleric_acid" defaultArrayLength="2265" index="18">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="117.0557" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-15" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="71" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt3GVg1EoUBeC6U9rd6iZZ3N2dubi7u7u7uzs83N3d3d3d3R0qlNLSlndm5vbPeZSyTW7mu5kkk1fL+LRvTM1qYszLxW9/RjcXOx61GljL2VEsPR2TuOFsD1H+/hkxal9fcaRKgFuOSQPF3mExu2p3GyqyR5Xol1RqpKCmUzpOmzNW5DTOTrkfMFE0HLHjQNtRU/jzposit7q4Ly88W1RX35jDn7NAZLMV69rXuVQsfNLhzuH9K8WJZd+GBI9eI/JW3+BXMdN6Ef7fhvrLRmwSj2PTu2TKsU1U/57/87MnO0XGGpuL/o3aLa40+tmid+xesW273OADYob7mTbDtx4SBdTXUfGk7TqPL0eOC7rs1612ulPiRmSdJ8bw02L8iutbbmKfbD/tjqV5z4l9TeIOP5l6XjQ896CJ4/0F8Sf3oYQm4pJYslh+XRYlPYYVexx7RURPjvedUeOaGPW41JDGm66LdOXTRC5yuym6v7v+K1PuW+L44hPnKjy9JQJr7ZzXYfJt0dJjVfsJhe6InYdnF1z/5o5w6TXG4/ysu2LStbED+1e5J8IP3nZ54XZfbFqddlqlY/dF0em9QncPeCAuDzyx0pHnoah172TwlU8PxasTgcsKrHkkem9ukXl5s8fCdd62XV6hT8Sk6O3pD9x4IsKfJW1LM/mp2HShWpEpZZ6JoruX4Mg9EyflP9v3XNRK+HLcv+cL8eptscoDsrwUHcuUOJLx9UvxN7RC+ko1Xon6dbOsmrLrldg+09d5zf5aeF39ujRw0GvRyltW7LUoMGLKtAOl3ojph7v5Jqx6Iz7E1ZhUwuOtEPnzeo7s9FYs6mkbd+rKWxH/rs3qBwXfiUbNdp/8tuKdKLkoy5eXPu9FuvvLQ+72fS/GVJMH8L3oOLldi2cVP4iq5x9Purnrg9hSItuG946PYtbglbcejf8ofv6QXx/FvRwdIt80/iQKrtlX5M+ZTyLiZfa2X3N+FoMbDB3tuvCzeOlZRHz1/iIqHohNvjf4i9jWcdexE5+/CHt4j2Gbmn4VcS7uufdf/SrU5pT8JuTomLz9G4+772LWmbiszWd9F7/77vlYweWHaJGh14Y8fX6IU6Plhv4QGV9kKVi4zU+RuoH/v6TbP0Wpgdlju2SNEjFlbna83ylKhFqX34t1UeJs+y2t69+J4rpHifpv1y89lzZa3F14qPPTctGibvWrhWI6RgtVhhnRIs2v7iASLbqoAkSLZZ+rNd/3PVpUObP1jntAjCie4rxZJnuMuJVme/m9FWLEtjITgka0jxGqbONiRIcJhTYFrYkRKeUSv389FSOeSj4vY8TBSVsmjEqJEXM3j61TxYoVe3L3XOtaMlbMrF2x19WmsQI7XWL+kFhR/8TQn2OXxorRPb5ka3U8Vhyu+KJ6qzexIjbNnV6tvH+JXs0fR9TM+UtsKnS9RM06v8SbwNMtaw78JVSbWPpLNDi9aV3NU7/EzCXLLtZ8/0v4PVzbu5RfnPglmeaME2nlx9SME34YTXG94kSN8akgIk7M/lJzapfDceJe7dnnM7yIE31uH5i0xfO32HrzfsNveX4Lxajpb/GsM6SM/y1CO6UpfXbHb1GrQ+lUno9/6/13j9fHMVe8SGq1dOiVRvGiUEt0lLHxeru3xYtNTf98nPUgXqyKc8/31uUP948/wi4PXIM/4tx02Sj+iALndqNCf8S7lv3SdbnyR8xPKBjSPvqP8Mj3dnTviASx/+q6ft1EgnbYOUHM+pj2/vJ5CeJW4phFfU4liHp9fr8u8C1BFI7pmGgLTxTNHnxZ9KpMohhzpGeRHd0ThSzDjcWJIkOm2g+/X0gUB0vVz5UUmyh8YssnG+n+isaqwH+FYj3sr8CHYOD+FdUueZdaev+vePnKf+5mtySRd0FS28t5krSf5kniDrqG79Qk8aru0erFDyaJfD7bzKbvksT5tLv6dg5OFmp4l0gWik37ZM10ZrLYv2HIxWxHkoXU8+R9skj+PeDVsuAUIUfBoDIpwnGqWdoyfVJE1YaNx/mtThFoJq3f30oRy0b8CTjq9k9E/6raZGLRf8Ldd2qadj3/icebr21cveqf6PHx7+boO/+4H7rQ1aaWvWSEC+Wr6zbgeW4Xinv6cEy/ii50qAM6TEsXGobRt3KAC5VGFy00w4Vazne2PrXehZ7/e3Kv3gkXOpw06dfThy7UpxRGVpQLZR0pO48rqT6Y3pWUs+KudD06fnBgXVfCb1uUpasrpf4wJbHIWFdSfXipK0m1Vfe50oC5ER4Nb7iS6tufXGmcX7rESy5uhMHlcjjcjZbkqlh1VW43avDhbu3ZFdxod+1uSwY1d6PLSwGzvxtvpxvZ1h8/Hb7BjSaNzemMPuFGh2jsm4uP3Ohonw7tika7kVWo2Kzlfu6USp7oMrjTLTmsS7jT3FY5E87XdaeGn129mnd1p8Gnr99MHONO8Tmmlp+5xJ0GLqh4ON1ed9L9yp1uJ++sUeq9OwVUqZf9Roo7fargUrVhhAdlmLM288d8HvRvBkBX8yB51kru4EEzFqIBj/agTAPclvgs9aDjdRekm7nfgxrkzb7ZfsuD2uTHf332oJ4FRx8kN08aWnhr6UaGJ0XfRIMp4Em+xoqW2ap50hfZhtp4UvfcOMMO9qQfQd/et5/lSTfLyA7tSXUy9r337pgnyY/bfNeT9svh9cWTFnQ+EJHN1Ysiqo3c/S7ci+JPFo6bl8eL7g/+nDlfZS9S/bC1F+WVA3aoFwXIAz3Xi+RZpf52L1LngwteVFa2uVdedHyQLJAXoVtBpDeNTumcaUkub9qycXjciwrepPpHS29KSVg7v/NAbwrs/4Q2zvAmM7//k9vrvaneq0Ef/hz1JjlZyHrHm9Lh7Frrkzc1Lrbv0sAUb1KOQ3zo4vwZr89l96HVu33LxQsfOoWzRM76PjTSKtqpfBcfPR5H+lDJNyPKtpvrQ/Ks2WAz/h57We2ED8k2SHd9aGMqbMBHH71/iT601B8HLtCXVJ9O70tB8hcX9qVj2Uvh1OJLnZPpWtHWvqT6QT9fwkkHndCXCqsJjy+pvrnTl0Y+SH1u+llfipPsHvhSqj7bpj395EsZF/6bPfKvL/8eP9qbb1nj62n9SJ5FhxTwozLXiqY1K/pRiWprn81u4kfFM1QdNq6XH6l2PN6PcPIeVmyxH911Dzh0bwd//5wfdZlnoIJ+lDCspPfmH36k+60/qT4b7k9BgW+bVcjpT12elsPsyZ/Sxi/BFvjTkHN/x1/o6M/H15+mbN9b8MoMf1LzrtX+pOZB+/3pxIeyd+Zd8ad/6WTn8Sc5nEr+9qfPB3e6fwwIoNkN1zxumzGAJKMrJQMIkzUM3QB9/HsEEA5Kr6gJAaTmpysCSM5ClxwMIN2nAujaj8tny34PoPX9up1c45OKRsq2lTEVqfmoSEV53GrvOdM0FfnIidPAVNrlf6lIHe6dqUidf6+lontLPlgbP6Wir/J05RVIrpJlxkAa4fDbM7h8IC1vhplT20DS89VAeiWnucsCyU1NZAMpw7zbT/c8CKQKcy7VmRsbSL6yEEGpSQ7DzjlTU7G05oWDVVOTnDXbOuPPf6MiB05ITZ9moQBrUtOuhXNL5TmTmsahzZR+nZowu6ibxSWISE4Qg4No46fKuf+lC6JSaqISRJhc3+pSLoiW1MUJqV4QyTYe3S6Ix1cQbU8zOdJ7fBDdzVqkfdi8IMqG2Lc2iAIXe37/tCeIzt7FROtMEA0JrPu8yu0gvV+vggiT9LDHP4KoErrTquQgvf0BwbqvGcGEk+Xk+GzBuj8VDabO6bsPHlohmCIy1/NcWzeYDmwG2JbBNL7+oLrVuwVT+kdXL68YFEyy/ceNC6aZXlFhlWcH09Hnh/bkW4bPwfTC2BRModOrfvHYF0xl29kn/jgZTL2LP0v36GowLQ9GA34YTIcxq7r/JpjkX4/6Hqz7eHwwqfmvq43KYnr20c9Gat5ut+nxZNooD6ZDxzLZSJ13c9uonjx9FrbRiLgXmEnaaPCHP8NKVrLRmhQ02Fo2WvFz44VqjWy0RE7rW9poAdpF1442alto3Pu4HjY9rgfYaG8AYA6zUeGS6LxjbHRETpMn2bgv2Ui27d1zbRSK2d+xxTbtZ6WNvvnNHnZ9vY3I3ubs3a02Old2e5cXu226jx60kZzd/DxuozRbwlISztroch45EbBR//2hf6/esOn+eA/fPxXyZ/ljfL/ivN9eL230c92iBd3e4fsYfY8+26i8HFA/8fMt/ova8stGi48umJ060UblyoTNGvzPRj8uoBF62OnuC0w4fO00+eauHBRo1+PLZtfHLdxOat5o2GniumyYmtnp4+56i2tlsBNO+icLZLGTav857DSifWu/pNx2etFn6sx3+e3c/+xUtvSnx9uK22ldNVvL+aXt9CDf6XFDytrJJwJXNhXtpOa9Ve26r9W0k5rGNLDTw0vyRGyn9TVRqXZ2Kocy9elqp9eYHo3tY6dRXY/1nzvYTtWjWq/YNMqu3U60cx+yU8MCjVu+nGenX3PGZItaaqdkOb1YbSc5y3u5BZ8vp68H7bRsJSaMZ+2Ur/+/bvVu2gnNMv/Qp3Z6FIWJzwc7n+fttDLm/rDwJDupeb1XCMn20SsohH40xR5GhujtzBBCzeQO5wyhYDkwCodQfO39UTdFCGFWf75ylRBqJycydUPIkXNnr+LNQ0jN9zuE0ET71sicvUL4PBxC6eXX2BB6FIqOOy2EZsnLtPkhVCHZWD19RQjJ9uG5KYTkaWnk7hBSp4cjIVQjdma9/udCyOPj9Kzfr4fQETldeBhCvW9MvvPiVQhlOTNxY6MvIfR8//jht2JDSF03JIfofu4VSnnkZXBQKL3fGp/7UGSork+GUKqLYbU5Z6juo4VDSV1OiFAa0PN7o5Aqofp2QN1QCpYDoXkoXewNMR1C9bjoGUrycPQfHKrnG2NCaZWQ/yKUj1MoBWTBf60IJXWdtTGU1DR5dyi1ynY16OKRUFLXXedCSf7p0PVQklfV+R6GkrpceBVKEa5Zm7T5HkqX3gT/tCeG8v6E6fOjPYye4KozR9owwiip+CJnmD5PFgujY562EFExjNR8tm4Yqcu7VmF0YwsuULqHkZqGDgnTfWRCGL2shZnXf2E0O9+gXOlWhrHjMFLTu0Nh1Fde+J8P0/O222Gk+L8IY49htO/76q6v/4XRb1ymjA4KJ3Vdni6cHo7EmSNfuN7uiuH09U1hTM3DaUbW76lO9A6ns/KydWw4Yfa1pfW8cMo9e9WffBvCCRern1IOhtN0l3nbdl0IJ89Lx3HGDadRcsLzPJwSGgY36/Q5nORlYMKvcMLs7uY0lwjqKC/8AyLoZf9D5XaFR1ATOeHJEKHnB7kjSF2+Fo+gC//hhFkhgtQBrhNB8rRgtYigAnKi1TmCtu/yCi3bP4IyD85b696oCD6uEeTwHn/2z4IImntje/LUNRH0vCcu1HZEUKPCGOmHI/R893wEqcvhWxGkrs+eRVBpebn0MYIOGvjJ2AhSl2X/IujJ7Uy+O/0i9fwhLJJWFEPjSBepj3uuSFKn3aKR5I/2OqF8JE1otN47onYkyfaypVmk7vOdIilG3j7pG0ndBqBzjIyk9yVxgT8lUvf1+ZGk2t7qSD3et0Xq65pDkRT29ypmGpGk7h/cjCR5OfTjSSSNq1Nl+egPkZQU0e+hLSaSoHhnr8RIkncNLrk5aAsul9L6O3gcOmjzKMwUDAdhq1Nlz+igjflXThyb06EdFHTQg4AFD4uUcvB1iYPU7aAaDqq/uFa5Mg0dhNk+Zu4OGtsPjb+jg1zlhXYvB43JDNiDHOQiv0Y79HXPZAflfvK79v7ZDtqBtphqsYNyzehbruNqBz2bkcM4u9lBzTphBrjHQU/kjPaIg9S06oxDXx9cddBktM0xdx2kbgs9ddCkjY2u5H/nIK8x88tN++aguEz4DVEO2rcWDT7OQbiqrno+wUEF5G6lOEhfHxr0+nTJOv+8DD0+/A2a9S4mzZ3Uhh4/IYbuexEG5ZA3PiyDHPK2XTqDHt+Ir/c2k0GLqmOGkN0gdf8rt0Hy7oZVwKB7XsV7rEK2wVkgQ0GDfhTChBo5/PqEddkKGeTb4deBbUh1OV3Y0PM05O4c+NEihp5HINVxLmpQk5hpmU4i5WVl2WKG3h+k6+GHzSsXN0jdV0Gq+yIlDH08kWoeX9Ig+XEPkXXkBpYy6MVzfCHVeCttkJyevkOq86kwSF7GfkGuuosdIYNyyx9E4qda9itjUGU5wUPq86ZB7eSEAKlOe+UMPd8tb/C4R53k7bcKBmU+2ThmGnJvw4seqSsapAqDlGUJrWRQM3kBjVTzr8oGyc1bgXSXN0aqGCQ/bh1SXWdXNWjrFnwhi5aNPJ6rmkHqNh5S3Q+pbtArHxQa2UPuSA2D/hbBDyLVvKKmQeq+DlLPswxS9zeQx3Nhh2sbug8gHzXHHtcxSB62+0h5OBrXNWi0PHDIVLIw9Qye9xqUFbvbob5B+7Ebn5By87o1MOgWfu0PZAtZwIYGyR/7hRwkvxoZ5ClvHCDV7ebGBsnTiEsTjMf7KDSyuNyRpgaheh+mIBvIGyLNDHpTADM4pBx+9uYGJWNYLUBOxXCJbGGQupxDrpfTpZYG5cdhW4OUhyNTK0PPV5DqfNTa0OcvpNzdfG0MGovd2IdU9zXaGqTuwyCzywK2M+ggfuw0srz8am/Qnad7Gl5EtpIDtYOh55fIobLQHQ3yljuClMO+YSeD5HB+jNyJYdq8s0Hqfi1SzTO7GNRI7jBS3R/rapC63YVU9x+6GTQdhyMGKcs8oLtBG1G+P8iC8hf3MEjubgqylgTS06Bn2DyPXgap+55I+XF+vQ0ajx+bgQyWX30MknznIXPKgdrXIMltSV923o+d92Pn/dl5f3Y+gJ0PYOcD2flAdj6InQ9i54PZ+WB2PoSdD2HnQ9n5UHY+jJ0PY+fD2Tkynbqxy85HsPOR7HwkOx/Fzkex89HsfDQ7H8POx7Dzsex8LDsfx87Hs/Px7HwCO5/Aziey84nsfBI7n8TOJ7Pzyex8Cjufws6nsvOp7HwaO5/Gzqez8+nsfAY7n8HOZ7Lzmex8Fjufxc5ns/PZ7HwOO5/Dzv9j5/+x87nsfC47n8fO57Hz+ex8PjtfgHoemuEVtYCdL2TnC9n5Ina+mJ0vZudL2PkSdr6UnS9l58vY+TJ2vpydL2fnK9j5Cna+kp2vZOer2DkSs9ZBuVaz89XsfA07X8PO17Lztex8HTtfx87Xs3Nk1WHj8lTfwM43sPONBs+j2fkmQ99HQqrpw2aD5NOf10h1P2+Loa+fkTK6bkU95YMG5Jf5e3Cli3rmwkhHesod2I56NscPIPVzDYPw6Z1ddhr6vhMSs/QZXrsM0s+ZUM/P+KDdqKecuCPVfGkP6rnrNf4G9axcOylir0HrXp4IXIbML3/hPtRTPc9CPeXjwf2YD8jHcPvZ+QF2foCdH2TnB9n5IXaOPNgWM6LDqKd8fIK8PQc7cMTg6wvU81SxDFWPGiRv+15HekeFVa59DPWcNKHp3WPs/LhB8innY2TJmviEE+ibuFx4iVT3m06ib4bgCgIpy935lEH6eQ36JsrT6zT6ppwmIuXuDDiDvqlu2KNv4tcPO2uQ/NgUpHoecg59Uz1ARN9c+HzuJKQ82n4X0DdlgZFylhZ0EfMm+QPIwxj+YZfQN+WNYeTdY2+xReib8kAgf3zFjl4xSA0bpJ7noZ7yMCPl4ctzDfWUhwWp7oNfN/i6y9D3UW6gb8rdRsrdKXPTILWZSHV/5xb6pvxYpLqOu42+KQOpn5sZVFsOAOSLubLA6JtyB5Dq+uYe+iaq/hapnt/cR9/EcP2MlMOw+wN2jqysPsggjNocv5Ht5MT3EfomDl8SUj2Wfoy+KQvyBH0TZZyAVPfNnxr6Pg5SDbxn6JvYzDnIZrJwz9E3u8oNQ9+UE+8Xhp5/I9X130tDXy8i1f26V+ibcgdesfPXBqnhj1TPMd6gb8qBgpSjothb9E05vJDq+vYd+qYcDkj1PPw9+qY8fO/Z+QeDVLmRHeQv/MjOkfo5Bzv/xM4/s/PP7PwLO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/yc5/svModh7FzqPZeTQ7j2HnMew8lp3HsvNf7PwXO49j58hO6sBifiTbDFJd98ejb8q2gJRR5I9BivEfdp7AzhPYeSI7T2Tnf9n5X3aexM6T2HkyO09m5ynsPIWd/2Pn/9i5i6mdI5VzV1M7RyrnbqZ2jlTO3U3tHKmce5jauaepnSOVcy9TO0cq596mdo5Uzn1M7RypnPua2jlSOfcztXOkcu5vaudI5TzA1M6RynkqUztHKueBpnaOVM5Tm9o5UjkPMrVzpHIebGrnSOXcZmrnSOXcbmrnSOU8xNTOkcp5qKmdI5XzMFM7Ryrn4aZ2jlTOI0ztHKmcR5raucPUzpGqPIapnSPVwDNN7RypnFumdo5UP+40tXOkcp7G1M6RynlaUztHKufpTO0cqZ9Xmto5UjnPYGrnSOU8o6mdI/W6F1M7RyrnmU3tHKmcZzG1c6RyntXUzpHKeTZTO0cq59lN7RypnOcwtXOkcp7T1M6RynkuUztHKue5Te08j6mdI9UwzGtq50jlPJ+pnSPVYc5vaudI5byAqZ0jlfOCpnaOVLtdyNTOkcp5YVM7R6qPLWJq50gVRU3tHKmcFzO1c6RyXtzUz3uQynkJUztHKuclTe0cqZyXMrVzpHJe2tTOkfr5kamdI5VzYufEzsuw8zLsvCw7L8vOy7Hzcuy8PDuvwM4rsPOKJr1eKZpOqcjOK7HzSuy8MjtHrpvf+UBEFZPy5Xp4aSny5LkKT51V2XlVdl6NnVdj59XZeXV2XoOd12DnNdl5TXZei53XYue12Xltdl6Hnddh53XZeV12Xo+d12Pn9dl5fXbegJ03YOcN2XlDdt4I9Tz181o0Ut03box64o/xyJryQWYTdt6UnSN/y+VJzdg5Ut+HZudIdV+pBTtHVnzq3BLW0tT3Z5Gt/ZJumK3QN1d3fb0SKVd/pW9tks/tSl4bkOp5dxvUU65KQ6rndW1RTzng2rLzdqgnNvdQO3benp23Z+cd2HkHdt6RnXdk551QT0d9n9ud2Hlnk55XwZHuzM67sPMu7Lwr6rnp68C3SHVfrRs778bOu6OeXqhkd3bew+TnWOibKOfgnibfnzdJ7v6oXuy8NztH7jmDDepj6vu/SLX+oq+p7/cjP8nH6v3QNw+V27UQKfk5+pv6eTvSkjeiB6BvhqUkrEUW2dE9IMtA9E0M2y3IunIHB5n6PjSyh3wQMJidD2bnQ9j5EHY+1NTnc6Ra9zEM9ZQgkOq50XCT5G7dQMbI5SIj2DlSPWcYaerne0j5x5ajTH1fHqnWI4xG3zSx4cjm8i/GmPzcAn3z7ZULvceapJYHIv+z4QCMM/XzOqRatzXeJDl8XCaY+jkIsr4cSBPZObKXLMQk9E2UfRZSPReejL4pFzhMZudT2PkUdj4VfVNuEFKtb5qGvol/tgmp1mFNR9+U65CQ8rFuvhnom3KdGTKb/IuZJmEUjzmCVM8jZqGeGN6nkHLYlpuNvjkQO4hUz4XnmCSHzzXkvFIY6P+hb8oFbUh5GBvONfXzVqRaNzPP5Oc5JskytZ2PvikHHFKt21hgktzcr8hIuUEL2flCdr6InS9i54tNkkxTkF3khi9h50vRN9/H1Zi0lJ0vQ9+Uy+yWsfPlJsnhOHc5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw86RV7Fbhdayc6RaF7kOfRMffwIp/1mZ9SbJP55DGvLAb0DfBNMrSMmvxkZ2jpRc6m9i58hucoBsRt/EsH2OlMOx9RZ2voWdb0XflAMdeVQuO9vGzpFqveF2dr6dne9g5zvY+U70TeyW2y7Mj2TBdrHz3ex8Nzvfw873sPO97HwvO9/Hzvex8/3sfD87P8DOD7Dzg+z8IDs/hL6JYXEAqdanHDb183LkGhwecYTP50fY+VF2fpSdH2Pnx9j5cVM/9zrOzk+w8xPs/CQ7P8nOT7HzU+z8NDs/zc7PsPMz7PwsOz/Lzs+x8/Ps/Dw7v8DOL7Dzi+z8Iju/xM4vsfPL7PwyO7/Czq+w86vs/Co7v8bOr7Hz6+z8Oju/wc6RIVPMQsVusvOb7PyWScdqde5+Bln144ORFW6b+vnjbXZ+h53fYed32flddn6Pnd9j5/fZ+X12/oCdP2DnD9n5Q3b+iJ0/YueP2fljdv6EnT9l50/Z+TN2/oydP2fnz9n5C3b+gp2/ZOcv2fkrdv6Knb9m56/Z+Rt2/oadv2Xnb9n5O3b+jp2/Z+fv2fkHdv6BnX9k5x/Z+Sd2/omdf2bnn9n5F3b+hZ1/Zedf2fk3dv6NnX9n59/Z+Q92/oOd/2TnUew8ip1Hs/Nodh7DzmPYeSw7j2Xnv9j5L3Yex87j2Plvdv6bncez83h2/oed/2HnCew8gZ0nsvNEdv6Xnf9l50nsPImdJ7PzZHaews5T2Pk/dv6PnbtY2jlSOXe1tHOkcu5maedI5dzd0s6RyrmHpZ17Wto5Ujn3srRzpHLubWnnSOXcx9LOkcq5r6WdI5VzP0s7Ryrn/pZ2jlTOAyztHKmcp7K0c6RyHmhp50h1Pk9taedI5TzI0udzpDqfB1v6fI5Uzm2Wdo5Uzu0Wr5+ytPMQSztHKuehlnaOVM7DLO0cqZyHW9o5UjmPsLRzpHIeaWnnSOXcYWnnhqWdI183+OzqZVraOVI/D7a0c6Ry7rS0c6RynsbSzpHKeVrUU65TRirn6SztHKmcp0c91UIWSzvPYGnnSOU8o6WdI5XzTJZ2jlTOM1vaOVI5z2Jp50jlPKulnSOV82yWdo5UzrNb2jlSOc9haedI5TynpZ0jNwxc3L9nLks7RyrnuS1eb2Vp53ks7TyvpZ0jlfN8lnaOVM7zW9o5Ui3zKWDp9YpI5bygpZ0jlfNCll63jVTOC1uklm0jMxy4cSdrEdSzRqn3W5Gl5IKhoqjncIffHmRjdeKx9DoiZL9yHcuUKI56Pr1X7wRSOS9haedI5bykpZ0jlfNSlnaOVM5LW9o5UjkXlnaOVM6JnRM7L8POy7Dzsuwc2fZrzhl9y7Hzcuy8PDuvwM4rsPOK7LwiO6/EzpFNUcXAyhbJ0+gcpF4PhXp6Ne+6EDlr+ZXhjqqWXieOVOtBqqGecjkmUi73yVzd0utNkOp1lxoW4eScvBOZKA9TTUuve0CqstayaI18fQip1mvVtvT5HKnO53UsfT5Hql9T19LrXpCj5LfrWXo9NhKj63uj+qin/AZSreNoYJF6XQh5E0e5fUPUE3vzEamWszdCPdU/RD3lAp3Gll5/g0yD4TGwCeoZL1+oQj1lAZqinpnxC5BqPWEzdt7cIlmuKcgklCGgBfomdm8WMkxtiKXXDSLVOqBWll53hqxuk28QsHOkWkfVBn3zEb6BHNNbvjnEzpFqHVs7S6+DRarh294iOSyPINV6pA6Wfi8BqYZHR4vXOaNvygJ0skgepmtItb68M/omynoHqcrVxdLrL5F63b+l1xsi+8jN6Ya+KZf5I9U/726Rer+pOzvvgb4pNxiJKuIb7Bwp2QztZZGctSUj1fqx3uibS7FjfSwKkv8QuQLDza8v+qYa4Oy8HztHqvXA/dE31S+wSJbfHMDOkXqdNDsfyM4HsfNB7HwwOx/Mzoew8yHsfCg7R8oqlhlmkfzpc0j13ttwS6/PRaphPgJ9U+4YUq+/t0gOtwdI9V7eKPRNDI/nSHXYR6Nvyvd8kGo90xiLZPk/IyvLso616H49OVLY+TiL1x9bej33ePRNbM5fpPo1E9A35YCciL4pv40UqqDom+A6bRI7n8zOJ7PzKex8Cjufys6nsvNp7HwaO5/Ozqez8xnsfAY7n8nOZ7LzWex8Fjufzc5ns/M57HwOO/+Pnf/Hzuey87nsfB47n8fO57Pz+ex8ATtfwM4XsvOF7HwRO1/Ezhez88XsfAk7X8LOl7LzZex8GTtfzs6Xs/MV7HwFO1/Jzley81XsfBU7X83OV7PzNex8DTtfy87XsvN17HwdO1/Pztez8w3sfAM738jON7LzTex8EzvfzM43s/Mt7HwLO9/Kzrey823sfBs7387Ot7PzHZgfSVg72PlOdr6Tne9i57vZ+W52voed72Hne9n5Xna+j53vY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnR9j58fZ+XF2foKdn2DnJ9n5SXZ+ip2fYuen2flpdn6GnZ9h52fZ+Vl2fo6dn2Pn59n5BXZ+gZ1fZOcX2fkldn6JnV9m55fZ+RV2foWdX2XnV9n5NXZ+jZ1fZ+fX2fkNdn6Dnd9k5zfZ+S12foud32bnt9n5HXZ+h53fZed32fk9dn6Pnd9n5/fZ+QN2/oCdP2TnD9n5I3b+iJ0/ZueP2fkTdv6EnT9l58/Y+TN2/pydP2fnL9j5C3b+kp2/ZOev2Pkrdv6anSPrVlk+OvMb1FO+H4nsPnjo+pxvLUpI/fngTqRel8rO37Hz9+z8PTv/wM6RDwv+LFrhIzv/yM4/sfNP7PwzO0fqdfPsHFkmut21Fl/ZObK5fP3mm6Xfa/rGzr9beh3+d3b+wyJnWNcasUj1/vpPdo688Gz/+OFRqGf/jAv/IdV7DtGo51rXY54xFv0t3vvGZOSUOy9e+ceinviYmUj517ZfqOfi7BHzkSfy4j/iLFLvkyIfy9f6f6Oe8kVtpHw9IGO8pdcLIwPlP/hj0dIGK7duR2b7nupE3gR2jixnfn1TOJGdJ7Lzv5Zen/6XnSexc6R+n4CdJ7PzFHaews7/sfN/7NzFqZ0jlXNXp3aOVM7dnNo5Ujl3d2rnSOXcw6mdI5VzT6d27uXUzpHKubdTO0cq5z5O7RypnPs6tXOkcu7n5Pc7nbyO26mdI5XzAKd2jlTOUzm1c6RyHujUzpHKeWqndo7U71k4tXOkch7spE0YxueQyrnNqZ0jlXO7UztHysNfL8RJ6v175ITht/Y2CXWSLURceIbE0XzUKgz1lAcQqd4DCXdSpb4Qg7zv2zl99wjUc/WDgj+R0FCpbyTqiY+JQ/rJF7scTv1eCVK9f2ignvL9chP1lAMWea0FRpqFesoXU5FyuKdyOkkO49lIN/mCRRrUE8NuIVIOJ0da1BPDZDmyiHwBOR3qKV/LRirn6Z3aOVI5z+DUzpHKeUbUU24AUm5+0UxOfs/Lqd/nyOwk+TFnkMp5FtRTbihSsq2WFfWUoJABcsBmc5Lkcw+pnGd3kvr/QyCV8xxOUq/PIJXznE7tHAldYV1zObVz5JyR+ODcTu0cqZzncVIxlDcBqZznderzeT6nPp8jlfP8Tu0cqZwXcGrnSOW8oFM7R6rzeSGndo5Uzgs7tXOkcl7EqZ0jlfOiTu0cqZwXc9KB8Rg4SOW8uJPk4T+MbCk/uIRTO0fKw1CupJO85ABDKuelnCTLcQ2p3s8s7aQS8kUjpNysBsJJDeVARL6Vr7OQU7+HhEzpgA0t46RpyfgPJKrv27msk/BbzK9I9Z5+Oad+rxGp3msq76SnGMbxSP3eoVO/D41U72FURD3lgankJHn4JyJzyA+u7KRDOFzTkfIwpK7i1O+9IVvLA1gV9UQ5FiPlbprVnOSDzV+JlJuVvrqT5K9bj9yFj8law0nyr7cioXV37ppOaiz/A/le/u8wajlJMjuIdJEDorZTv8eDVO/b12HnyEISXl0nyWF3BSmHU416Tv1+Vj12Xp+d12fnDdh5A3bekJ03ZOeN2Hkjdt6YnTdm503YeRN23pSdN2Xnzdh5c3benJ23YOct2HlLdt6Snbdi563YeWt23pqdt2Hnbdh5W3belp23Y+ft2Hl7dt6enXdg5x3YeUcn/Q9itA0g</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="456">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0q9LA2Ecx/Ghw6QwEGYduixiNJ3dsLIiIggKigOnMpQFd6jB4C8Egxo8FZOGLQgGwwUxiGGCwbAwFIPFJFoM4vO5Z/DMP8Dg+1XePN89uzvuuVgMAP5QteSZJpbU2ILqFdT8vFtvpGlfVg3GonVOrc80zSea1ll3Xzjp3mdxRe3bUNuO1EpZbb1Wrx5Mg70XU2/60zR8ig/+NNPbbpoudZrWprpM726Tpt6Huvqmebpb+1LJDtN8scW0vv+u6wavus9oTeueez3H842pXwm1/rpU5y7Ugajp6Pn7z6L5qRo/UYeP1fFDNXegnu+qqR01s64+bqnhmprYdNfby6p9n1Xf/d0vRvOS2/KsW3tO9nzt3J6bndtztvNf+wruvPG/aG6/D1u7zx9y5/Y+9ntsXD+aAwAAAAAAAAAAAAAAAAAAAAAAAAAAAADwz3wDcsZ2mg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=118.051 Q3=54.900 sample=32 experiment=1 RT=3.82 ce=-30.00 name=Homoserine（离子对正确具有唯一性且稍微比threonine晚出一点点）" defaultArrayLength="2265" index="19">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="118.0509" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="54.9" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="76">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztyLENACAMBLGM9jUjZBpGp0aioozs7q4KAAD4sleuTuf5AQAAAAAAAAAAAAAAAABguANqVgLv</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=118.051 Q3=74.100 sample=32 experiment=1 RT=3.79 ce=-15.00 name=threonine（离子对正确具有唯一性）" defaultArrayLength="2265" index="20">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="118.0509" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-15" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="74.1" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="372">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0rFKQzEYhuGzCC51Kg4OUpy8A9e6OLgL2umAizgFHBRBCBVBLL2CFtycO4ktiEVQp8KZnBxFcCh4A4KY7/yBBK9A3md5SfonQ06LAgAAAP/GdL8d6rfrdrK1y1rvl4ftP8/bvon3WV26tvPVUfp7XHv15EJd76qt43ruXB2dpXPuNJ2ze/L5/L6DK/Wur74P1eVbtVGFlo15aLW1sPnb3cWV0Mub1dBmU2vXXQr1a4U6+ArnWjsfodPeW6jfe9X9k5n68qT9z2f1+1H743u1fFBnY3Vjos5H9e/X6XvYe9r3sfeI38+nc/HdXDpn72breL6Tns//NwAAAAAAAAAAAAAAAAAAAAAAAAAAAEDmB648ZUU=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=122.025 Q3=78.000 sample=32 experiment=1 RT=2.36 ce=-30.00 name=Nicotinic_acid" defaultArrayLength="2265" index="21">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="122.0247" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="78" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="152">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0csNgCAMAFBGI3EEz+7iaI7mwXCghjSEk+a9CymfFkopAPzeedRn3Go/P4jjOF0vOTdbdzV+1W/9CH1pcXTt/b4WZ+txPlvPjPKs/lfMH9/XxHtn9xvJ+gkAAAAAAAAAAAAAAAAAAMDn3FCPMgA=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=128.072 Q3=128.072 sample=32 experiment=1 RT=2.95 ce=-30.00 name=pipecolic_acid" defaultArrayLength="2265" index="22">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="128.0717" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="128.0717" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="300">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0j8LAXEcx3EPRDIYTLqHcItNNlaTRYqUTMq/QZkoq8XISLFdSfEMbvBYpHx+39ORLGR5v5Z3fnf4+p5EAgAA/Efe/+3nvDkPKn7sul9Sg4Y6mqn1hdpcq9etWtir5Y2aWqnhUvWm6mmijgdquqv2aq4tPzaPzfEy97f29MnT99g80byu4VC13+O1VdtfuupeP+3Zzs2752D3Wb2+mp2rLbfvzM69/3hvr3NWcwedF931pHt+l2l83k/7j/4XNqcT3QcAAAAAAAAAAAAAAAAAAAAAAAAAAAAADzdMHEBr</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=130.051 Q3=83.900 sample=32 experiment=1 RT=3.65 ce=-30.00 name=L-4-hydroxyproline" defaultArrayLength="2265" index="23">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="130.0509" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="83.9" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="168">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztz7ENg0AMBVBGYYwo1ZVkhIyQKiuAhNggbECarJKhUhgKEAUgQCnea74s2b5zlgEA8H9uaT7Xzm99d2nftP+sf06kexrtG+qiiry8Iq9dZP2J/L77bPv5JjJ/RJbPcb347p3u2m0PAAAAAAAAAAAAAAAAAAAc6wcYHhU5</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=130.062 Q3=88.000 sample=32 experiment=1 RT=3.55 ce=-15.00 name=creatine" defaultArrayLength="2265" index="24">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="130.0622" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-15" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="88" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="404">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0rtKA0EYhuG1sfQaUqbcMuUIFrkEsRKrVCmEQCAgQYkoikcURRGFeCgCilhoIaRMZyfYWovESisR5vv/wGxuwOJ9mpfZ2cPMJFkGAACALMyG2HxRDS21tmvjE/X12q7fqlnPnrtUBxfqpLW3r16dq9Ut9eFQ7Z+qP0fqzJk6PEifz23c31S7O+n67lbs+9u23g21smbzq2nzTtqbdvqe8nL6Hp/3+jn5/aFm1xs2Xkrnfb1j72mm9/n+xtbbTPfnz/t3/Nzm7tXjQWz4fI9td75jS/WJ6Xj95TeOh/Nfmn9+03MfT+pUV63Y71Les3mrn/vjuq2jVdhXI93X6FzsvtH51m3e/3eF/2FpQc2qhQIAAAAAAAAAAAAAAAAAAAAAAAAAAAD/yx8r2m5H</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=130.087 Q3=130.086 sample=32 experiment=1 RT=2.72 ce=-10.00 name=isoleucine" defaultArrayLength="2265" index="25">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="130.087" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="130.086" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="556">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0b9LG2EYwPErhc4lYkeRDjnoVqQtHQpnuhTbQQ+hUqyGDgZEHFpwMnDQUQdxDjRgiItLrRriL6L1B0pITSLFoWC6WNKCCKWgGEHueZ4O+RNavp/ly/vk5d73Lo4DAMB/KrvsSXvy2vKS1v2knV20LmjHrbMftUlrZd7mOVvbPjfX/BxX54Ff0LVv84aeFzyxeVTvFSQ27RxtEPms64M1bfe67c839+89siva6S2pV/0mTa/f6Ax770VU2vYwFraQaPSFjadaR3Sefiv9c0cb+ToszQz2hw02Zrpk/Sj2WNo6dl+6MNEhPa4/Deu1vOyV/WffB+Sc7tO4/L4/+UrmozefyzpVfCCdenNXOjcTkcbf35LevjjX99ip6/fI1PT93h1JC8mqrstfdP360OYV3R/VeVDe131r9n19+//8jH3XD1q3+X8JnulznJFf0vbLH9LazxP9fXXPnl/Ue/4+0POv9F5ei92jp6QdKtm5u3ae3itIbDfV8Xe0FZu7tgYAAAAAAAAAAAAAAAAAAAAAAAAAAACAf8g1QrCWig==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=130.087 Q3=130.087 sample=32 experiment=1 RT=2.61 ce=-10.00 name=leucine" defaultArrayLength="2265" index="26">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="130.0873" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="130.0873" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="516">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=131.046 Q3=131.046 sample=32 experiment=1 RT=3.99 ce=-10.00 name=asparagine" defaultArrayLength="2265" index="27">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="131.0462" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="131.0462" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="436">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0D8vQ1EYx/EmiOpEJBaShonJwmRpJ30DFpNIU6vEZHKNBoMYvAL/S6qCEqQoqrfDnWhCBzRiZajFIM7vWfoGxPD9LN+c09vn3HtCIQAAAOCPrJ3HXIfyasXW9Qt15EqdtXW3PTd4rPbpd2+qqPpqqKmgth2p8UN1QnPyqcA1Nn+vJqvaH3vQnIiv50t2XtXOj1+qiyfq6IGdl1NX7Rzf1rVTzVu+0znRJ/XtVfu3NXXyxc591v8yH67TS83x3xbDna4b0Q7XRLLV9T2rZr4irkG4ReuVT52z8Ki55XLj9wzY+1ft/a91n97Mje5hTveT/1a9YbvXrjM1vaMmrKWMfW9azW2rld3G5/q31PpeY8ezau++WrD9lM31bG67zQvW1R7bL2yqAAAAAAAAAAAAAAAAAAAAAAAAAAAA+Dd+AHjrd44=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=131.083 Q3=131.083 sample=32 experiment=1 RT=6.23 ce=-10.00 name=Ornithine" defaultArrayLength="2265" index="28">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="131.0826" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="131.0826" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="576">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=132.030 Q3=88.200 sample=32 experiment=1 RT=4.50 ce=-30.00 name=aspartic_acid" defaultArrayLength="2265" index="29">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="132.0302" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="88.2" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt3GVg1EoUBeC6U9rd6iZZ3N2dubi7u7u7uzs83N3d3d3d3R0qlNLSlndm5vbPeZSyTW7mu5kkk1fL+LRvTM1qYszLxW9/RjcXOx61GljL2VEsPR2TuOFsD1H+/hkxal9fcaRKgFuOSQPF3mExu2p3GyqyR5Xol1RqpKCmUzpOmzNW5DTOTrkfMFE0HLHjQNtRU/jzposit7q4Ly88W1RX35jDn7NAZLMV69rXuVQsfNLhzuH9K8WJZd+GBI9eI/JW3+BXMdN6Ef7fhvrLRmwSj2PTu2TKsU1U/57/87MnO0XGGpuL/o3aLa40+tmid+xesW273OADYob7mTbDtx4SBdTXUfGk7TqPL0eOC7rs1612ulPiRmSdJ8bw02L8iutbbmKfbD/tjqV5z4l9TeIOP5l6XjQ896CJ4/0F8Sf3oYQm4pJYslh+XRYlPYYVexx7RURPjvedUeOaGPW41JDGm66LdOXTRC5yuym6v7v+K1PuW+L44hPnKjy9JQJr7ZzXYfJt0dJjVfsJhe6InYdnF1z/5o5w6TXG4/ysu2LStbED+1e5J8IP3nZ54XZfbFqddlqlY/dF0em9QncPeCAuDzyx0pHnoah172TwlU8PxasTgcsKrHkkem9ukXl5s8fCdd62XV6hT8Sk6O3pD9x4IsKfJW1LM/mp2HShWpEpZZ6JoruX4Mg9EyflP9v3XNRK+HLcv+cL8eptscoDsrwUHcuUOJLx9UvxN7RC+ko1Xon6dbOsmrLrldg+09d5zf5aeF39ujRw0GvRyltW7LUoMGLKtAOl3ojph7v5Jqx6Iz7E1ZhUwuOtEPnzeo7s9FYs6mkbd+rKWxH/rs3qBwXfiUbNdp/8tuKdKLkoy5eXPu9FuvvLQ+72fS/GVJMH8L3oOLldi2cVP4iq5x9Purnrg9hSItuG946PYtbglbcejf8ofv6QXx/FvRwdIt80/iQKrtlX5M+ZTyLiZfa2X3N+FoMbDB3tuvCzeOlZRHz1/iIqHohNvjf4i9jWcdexE5+/CHt4j2Gbmn4VcS7uufdf/SrU5pT8JuTomLz9G4+772LWmbiszWd9F7/77vlYweWHaJGh14Y8fX6IU6Plhv4QGV9kKVi4zU+RuoH/v6TbP0Wpgdlju2SNEjFlbna83ylKhFqX34t1UeJs+y2t69+J4rpHifpv1y89lzZa3F14qPPTctGibvWrhWI6RgtVhhnRIs2v7iASLbqoAkSLZZ+rNd/3PVpUObP1jntAjCie4rxZJnuMuJVme/m9FWLEtjITgka0jxGqbONiRIcJhTYFrYkRKeUSv389FSOeSj4vY8TBSVsmjEqJEXM3j61TxYoVe3L3XOtaMlbMrF2x19WmsQI7XWL+kFhR/8TQn2OXxorRPb5ka3U8Vhyu+KJ6qzexIjbNnV6tvH+JXs0fR9TM+UtsKnS9RM06v8SbwNMtaw78JVSbWPpLNDi9aV3NU7/EzCXLLtZ8/0v4PVzbu5RfnPglmeaME2nlx9SME34YTXG94kSN8akgIk7M/lJzapfDceJe7dnnM7yIE31uH5i0xfO32HrzfsNveX4Lxajpb/GsM6SM/y1CO6UpfXbHb1GrQ+lUno9/6/13j9fHMVe8SGq1dOiVRvGiUEt0lLHxeru3xYtNTf98nPUgXqyKc8/31uUP948/wi4PXIM/4tx02Sj+iALndqNCf8S7lv3SdbnyR8xPKBjSPvqP8Mj3dnTviASx/+q6ft1EgnbYOUHM+pj2/vJ5CeJW4phFfU4liHp9fr8u8C1BFI7pmGgLTxTNHnxZ9KpMohhzpGeRHd0ThSzDjcWJIkOm2g+/X0gUB0vVz5UUmyh8YssnG+n+isaqwH+FYj3sr8CHYOD+FdUueZdaev+vePnKf+5mtySRd0FS28t5krSf5kniDrqG79Qk8aru0erFDyaJfD7bzKbvksT5tLv6dg5OFmp4l0gWik37ZM10ZrLYv2HIxWxHkoXU8+R9skj+PeDVsuAUIUfBoDIpwnGqWdoyfVJE1YaNx/mtThFoJq3f30oRy0b8CTjq9k9E/6raZGLRf8Ldd2qadj3/icebr21cveqf6PHx7+boO/+4H7rQ1aaWvWSEC+Wr6zbgeW4Xinv6cEy/ii50qAM6TEsXGobRt3KAC5VGFy00w4Vazne2PrXehZ7/e3Kv3gkXOpw06dfThy7UpxRGVpQLZR0pO48rqT6Y3pWUs+KudD06fnBgXVfCb1uUpasrpf4wJbHIWFdSfXipK0m1Vfe50oC5ER4Nb7iS6tufXGmcX7rESy5uhMHlcjjcjZbkqlh1VW43avDhbu3ZFdxod+1uSwY1d6PLSwGzvxtvpxvZ1h8/Hb7BjSaNzemMPuFGh2jsm4uP3Ohonw7tika7kVWo2Kzlfu6USp7oMrjTLTmsS7jT3FY5E87XdaeGn129mnd1p8Gnr99MHONO8Tmmlp+5xJ0GLqh4ON1ed9L9yp1uJ++sUeq9OwVUqZf9Roo7fargUrVhhAdlmLM288d8HvRvBkBX8yB51kru4EEzFqIBj/agTAPclvgs9aDjdRekm7nfgxrkzb7ZfsuD2uTHf332oJ4FRx8kN08aWnhr6UaGJ0XfRIMp4Em+xoqW2ap50hfZhtp4UvfcOMMO9qQfQd/et5/lSTfLyA7tSXUy9r337pgnyY/bfNeT9svh9cWTFnQ+EJHN1Ysiqo3c/S7ci+JPFo6bl8eL7g/+nDlfZS9S/bC1F+WVA3aoFwXIAz3Xi+RZpf52L1LngwteVFa2uVdedHyQLJAXoVtBpDeNTumcaUkub9qycXjciwrepPpHS29KSVg7v/NAbwrs/4Q2zvAmM7//k9vrvaneq0Ef/hz1JjlZyHrHm9Lh7Frrkzc1Lrbv0sAUb1KOQ3zo4vwZr89l96HVu33LxQsfOoWzRM76PjTSKtqpfBcfPR5H+lDJNyPKtpvrQ/Ks2WAz/h57We2ED8k2SHd9aGMqbMBHH71/iT601B8HLtCXVJ9O70tB8hcX9qVj2Uvh1OJLnZPpWtHWvqT6QT9fwkkHndCXCqsJjy+pvrnTl0Y+SH1u+llfipPsHvhSqj7bpj395EsZF/6bPfKvL/8eP9qbb1nj62n9SJ5FhxTwozLXiqY1K/pRiWprn81u4kfFM1QdNq6XH6l2PN6PcPIeVmyxH911Dzh0bwd//5wfdZlnoIJ+lDCspPfmH36k+60/qT4b7k9BgW+bVcjpT12elsPsyZ/Sxi/BFvjTkHN/x1/o6M/H15+mbN9b8MoMf1LzrtX+pOZB+/3pxIeyd+Zd8ad/6WTn8Sc5nEr+9qfPB3e6fwwIoNkN1zxumzGAJKMrJQMIkzUM3QB9/HsEEA5Kr6gJAaTmpysCSM5ClxwMIN2nAujaj8tny34PoPX9up1c45OKRsq2lTEVqfmoSEV53GrvOdM0FfnIidPAVNrlf6lIHe6dqUidf6+lontLPlgbP6Wir/J05RVIrpJlxkAa4fDbM7h8IC1vhplT20DS89VAeiWnucsCyU1NZAMpw7zbT/c8CKQKcy7VmRsbSL6yEEGpSQ7DzjlTU7G05oWDVVOTnDXbOuPPf6MiB05ITZ9moQBrUtOuhXNL5TmTmsahzZR+nZowu6ibxSWISE4Qg4No46fKuf+lC6JSaqISRJhc3+pSLoiW1MUJqV4QyTYe3S6Ix1cQbU8zOdJ7fBDdzVqkfdi8IMqG2Lc2iAIXe37/tCeIzt7FROtMEA0JrPu8yu0gvV+vggiT9LDHP4KoErrTquQgvf0BwbqvGcGEk+Xk+GzBuj8VDabO6bsPHlohmCIy1/NcWzeYDmwG2JbBNL7+oLrVuwVT+kdXL68YFEyy/ceNC6aZXlFhlWcH09Hnh/bkW4bPwfTC2BRModOrfvHYF0xl29kn/jgZTL2LP0v36GowLQ9GA34YTIcxq7r/JpjkX4/6Hqz7eHwwqfmvq43KYnr20c9Gat5ut+nxZNooD6ZDxzLZSJ13c9uonjx9FrbRiLgXmEnaaPCHP8NKVrLRmhQ02Fo2WvFz44VqjWy0RE7rW9poAdpF1442alto3Pu4HjY9rgfYaG8AYA6zUeGS6LxjbHRETpMn2bgv2Ui27d1zbRSK2d+xxTbtZ6WNvvnNHnZ9vY3I3ubs3a02Old2e5cXu226jx60kZzd/DxuozRbwlISztroch45EbBR//2hf6/esOn+eA/fPxXyZ/ljfL/ivN9eL230c92iBd3e4fsYfY8+26i8HFA/8fMt/ova8stGi48umJ060UblyoTNGvzPRj8uoBF62OnuC0w4fO00+eauHBRo1+PLZtfHLdxOat5o2GniumyYmtnp4+56i2tlsBNO+icLZLGTav857DSifWu/pNx2etFn6sx3+e3c/+xUtvSnx9uK22ldNVvL+aXt9CDf6XFDytrJJwJXNhXtpOa9Ve26r9W0k5rGNLDTw0vyRGyn9TVRqXZ2Kocy9elqp9eYHo3tY6dRXY/1nzvYTtWjWq/YNMqu3U60cx+yU8MCjVu+nGenX3PGZItaaqdkOb1YbSc5y3u5BZ8vp68H7bRsJSaMZ+2Ur/+/bvVu2gnNMv/Qp3Z6FIWJzwc7n+fttDLm/rDwJDupeb1XCMn20SsohH40xR5GhujtzBBCzeQO5wyhYDkwCodQfO39UTdFCGFWf75ylRBqJycydUPIkXNnr+LNQ0jN9zuE0ET71sicvUL4PBxC6eXX2BB6FIqOOy2EZsnLtPkhVCHZWD19RQjJ9uG5KYTkaWnk7hBSp4cjIVQjdma9/udCyOPj9Kzfr4fQETldeBhCvW9MvvPiVQhlOTNxY6MvIfR8//jht2JDSF03JIfofu4VSnnkZXBQKL3fGp/7UGSork+GUKqLYbU5Z6juo4VDSV1OiFAa0PN7o5Aqofp2QN1QCpYDoXkoXewNMR1C9bjoGUrycPQfHKrnG2NCaZWQ/yKUj1MoBWTBf60IJXWdtTGU1DR5dyi1ynY16OKRUFLXXedCSf7p0PVQklfV+R6GkrpceBVKEa5Zm7T5HkqX3gT/tCeG8v6E6fOjPYye4KozR9owwiip+CJnmD5PFgujY562EFExjNR8tm4Yqcu7VmF0YwsuULqHkZqGDgnTfWRCGL2shZnXf2E0O9+gXOlWhrHjMFLTu0Nh1Fde+J8P0/O222Gk+L8IY49htO/76q6v/4XRb1ymjA4KJ3Vdni6cHo7EmSNfuN7uiuH09U1hTM3DaUbW76lO9A6ns/KydWw4Yfa1pfW8cMo9e9WffBvCCRern1IOhtN0l3nbdl0IJ89Lx3HGDadRcsLzPJwSGgY36/Q5nORlYMKvcMLs7uY0lwjqKC/8AyLoZf9D5XaFR1ATOeHJEKHnB7kjSF2+Fo+gC//hhFkhgtQBrhNB8rRgtYigAnKi1TmCtu/yCi3bP4IyD85b696oCD6uEeTwHn/2z4IImntje/LUNRH0vCcu1HZEUKPCGOmHI/R893wEqcvhWxGkrs+eRVBpebn0MYIOGvjJ2AhSl2X/IujJ7Uy+O/0i9fwhLJJWFEPjSBepj3uuSFKn3aKR5I/2OqF8JE1otN47onYkyfaypVmk7vOdIilG3j7pG0ndBqBzjIyk9yVxgT8lUvf1+ZGk2t7qSD3et0Xq65pDkRT29ypmGpGk7h/cjCR5OfTjSSSNq1Nl+egPkZQU0e+hLSaSoHhnr8RIkncNLrk5aAsul9L6O3gcOmjzKMwUDAdhq1Nlz+igjflXThyb06EdFHTQg4AFD4uUcvB1iYPU7aAaDqq/uFa5Mg0dhNk+Zu4OGtsPjb+jg1zlhXYvB43JDNiDHOQiv0Y79HXPZAflfvK79v7ZDtqBtphqsYNyzehbruNqBz2bkcM4u9lBzTphBrjHQU/kjPaIg9S06oxDXx9cddBktM0xdx2kbgs9ddCkjY2u5H/nIK8x88tN++aguEz4DVEO2rcWDT7OQbiqrno+wUEF5G6lOEhfHxr0+nTJOv+8DD0+/A2a9S4mzZ3Uhh4/IYbuexEG5ZA3PiyDHPK2XTqDHt+Ir/c2k0GLqmOGkN0gdf8rt0Hy7oZVwKB7XsV7rEK2wVkgQ0GDfhTChBo5/PqEddkKGeTb4deBbUh1OV3Y0PM05O4c+NEihp5HINVxLmpQk5hpmU4i5WVl2WKG3h+k6+GHzSsXN0jdV0Gq+yIlDH08kWoeX9Ig+XEPkXXkBpYy6MVzfCHVeCttkJyevkOq86kwSF7GfkGuuosdIYNyyx9E4qda9itjUGU5wUPq86ZB7eSEAKlOe+UMPd8tb/C4R53k7bcKBmU+2ThmGnJvw4seqSsapAqDlGUJrWRQM3kBjVTzr8oGyc1bgXSXN0aqGCQ/bh1SXWdXNWjrFnwhi5aNPJ6rmkHqNh5S3Q+pbtArHxQa2UPuSA2D/hbBDyLVvKKmQeq+DlLPswxS9zeQx3Nhh2sbug8gHzXHHtcxSB62+0h5OBrXNWi0PHDIVLIw9Qye9xqUFbvbob5B+7Ebn5By87o1MOgWfu0PZAtZwIYGyR/7hRwkvxoZ5ClvHCDV7ebGBsnTiEsTjMf7KDSyuNyRpgaheh+mIBvIGyLNDHpTADM4pBx+9uYGJWNYLUBOxXCJbGGQupxDrpfTpZYG5cdhW4OUhyNTK0PPV5DqfNTa0OcvpNzdfG0MGovd2IdU9zXaGqTuwyCzywK2M+ggfuw0srz8am/Qnad7Gl5EtpIDtYOh55fIobLQHQ3yljuClMO+YSeD5HB+jNyJYdq8s0Hqfi1SzTO7GNRI7jBS3R/rapC63YVU9x+6GTQdhyMGKcs8oLtBG1G+P8iC8hf3MEjubgqylgTS06Bn2DyPXgap+55I+XF+vQ0ajx+bgQyWX30MknznIXPKgdrXIMltSV923o+d92Pn/dl5f3Y+gJ0PYOcD2flAdj6InQ9i54PZ+WB2PoSdD2HnQ9n5UHY+jJ0PY+fD2Tkynbqxy85HsPOR7HwkOx/Fzkex89HsfDQ7H8POx7Dzsex8LDsfx87Hs/Px7HwCO5/Aziey84nsfBI7n8TOJ7Pzyex8Cjufws6nsvOp7HwaO5/Gzqez8+nsfAY7n8HOZ7Lzmex8Fjufxc5ns/PZ7HwOO5/Dzv9j5/+x87nsfC47n8fO57Hz+ex8PjtfgHoemuEVtYCdL2TnC9n5Ina+mJ0vZudL2PkSdr6UnS9l58vY+TJ2vpydL2fnK9j5Cna+kp2vZOer2DkSs9ZBuVaz89XsfA07X8PO17Lztex8HTtfx87Xs3Nk1WHj8lTfwM43sPONBs+j2fkmQ99HQqrpw2aD5NOf10h1P2+Loa+fkTK6bkU95YMG5Jf5e3Cli3rmwkhHesod2I56NscPIPVzDYPw6Z1ddhr6vhMSs/QZXrsM0s+ZUM/P+KDdqKecuCPVfGkP6rnrNf4G9axcOylir0HrXp4IXIbML3/hPtRTPc9CPeXjwf2YD8jHcPvZ+QF2foCdH2TnB9n5IXaOPNgWM6LDqKd8fIK8PQc7cMTg6wvU81SxDFWPGiRv+15HekeFVa59DPWcNKHp3WPs/LhB8innY2TJmviEE+ibuFx4iVT3m06ib4bgCgIpy935lEH6eQ36JsrT6zT6ppwmIuXuDDiDvqlu2KNv4tcPO2uQ/NgUpHoecg59Uz1ARN9c+HzuJKQ82n4X0DdlgZFylhZ0EfMm+QPIwxj+YZfQN+WNYeTdY2+xReib8kAgf3zFjl4xSA0bpJ7noZ7yMCPl4ctzDfWUhwWp7oNfN/i6y9D3UW6gb8rdRsrdKXPTILWZSHV/5xb6pvxYpLqOu42+KQOpn5sZVFsOAOSLubLA6JtyB5Dq+uYe+iaq/hapnt/cR9/EcP2MlMOw+wN2jqysPsggjNocv5Ht5MT3EfomDl8SUj2Wfoy+KQvyBH0TZZyAVPfNnxr6Pg5SDbxn6JvYzDnIZrJwz9E3u8oNQ9+UE+8Xhp5/I9X130tDXy8i1f26V+ibcgdesfPXBqnhj1TPMd6gb8qBgpSjothb9E05vJDq+vYd+qYcDkj1PPw9+qY8fO/Z+QeDVLmRHeQv/MjOkfo5Bzv/xM4/s/PP7PwLO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/yc5/svModh7FzqPZeTQ7j2HnMew8lp3HsvNf7PwXO49j58hO6sBifiTbDFJd98ejb8q2gJRR5I9BivEfdp7AzhPYeSI7T2Tnf9n5X3aexM6T2HkyO09m5ynsPIWd/2Pn/9i5i6mdI5VzV1M7RyrnbqZ2jlTO3U3tHKmce5jauaepnSOVcy9TO0cq596mdo5Uzn1M7RypnPua2jlSOfcztXOkcu5vaudI5TzA1M6RynkqUztHKueBpnaOVM5Tm9o5UjkPMrVzpHIebGrnSOXcZmrnSOXcbmrnSOU8xNTOkcp5qKmdI5XzMFM7Ryrn4aZ2jlTOI0ztHKmcR5raucPUzpGqPIapnSPVwDNN7RypnFumdo5UP+40tXOkcp7G1M6RynlaUztHKufpTO0cqZ9Xmto5UjnPYGrnSOU8o6mdI/W6F1M7RyrnmU3tHKmcZzG1c6RyntXUzpHKeTZTO0cq59lN7RypnOcwtXOkcp7T1M6RynkuUztHKue5Te08j6mdI9UwzGtq50jlPJ+pnSPVYc5vaudI5byAqZ0jlfOCpnaOVLtdyNTOkcp5YVM7R6qPLWJq50gVRU3tHKmcFzO1c6RyXtzUz3uQynkJUztHKuclTe0cqZyXMrVzpHJe2tTOkfr5kamdI5VzYufEzsuw8zLsvCw7L8vOy7Hzcuy8PDuvwM4rsPOKJr1eKZpOqcjOK7HzSuy8MjtHrpvf+UBEFZPy5Xp4aSny5LkKT51V2XlVdl6NnVdj59XZeXV2XoOd12DnNdl5TXZei53XYue12Xltdl6Hnddh53XZeV12Xo+d12Pn9dl5fXbegJ03YOcN2XlDdt4I9Tz181o0Ut03box64o/xyJryQWYTdt6UnSN/y+VJzdg5Ut+HZudIdV+pBTtHVnzq3BLW0tT3Z5Gt/ZJumK3QN1d3fb0SKVd/pW9tks/tSl4bkOp5dxvUU65KQ6rndW1RTzng2rLzdqgnNvdQO3benp23Z+cd2HkHdt6RnXdk551QT0d9n9ud2Hlnk55XwZHuzM67sPMu7Lwr6rnp68C3SHVfrRs778bOu6OeXqhkd3bew+TnWOibKOfgnibfnzdJ7v6oXuy8NztH7jmDDepj6vu/SLX+oq+p7/cjP8nH6v3QNw+V27UQKfk5+pv6eTvSkjeiB6BvhqUkrEUW2dE9IMtA9E0M2y3IunIHB5n6PjSyh3wQMJidD2bnQ9j5EHY+1NTnc6Ra9zEM9ZQgkOq50XCT5G7dQMbI5SIj2DlSPWcYaerne0j5x5ajTH1fHqnWI4xG3zSx4cjm8i/GmPzcAn3z7ZULvceapJYHIv+z4QCMM/XzOqRatzXeJDl8XCaY+jkIsr4cSBPZObKXLMQk9E2UfRZSPReejL4pFzhMZudT2PkUdj4VfVNuEFKtb5qGvol/tgmp1mFNR9+U65CQ8rFuvhnom3KdGTKb/IuZJmEUjzmCVM8jZqGeGN6nkHLYlpuNvjkQO4hUz4XnmCSHzzXkvFIY6P+hb8oFbUh5GBvONfXzVqRaNzPP5Oc5JskytZ2PvikHHFKt21hgktzcr8hIuUEL2flCdr6InS9i54tNkkxTkF3khi9h50vRN9/H1Zi0lJ0vQ9+Uy+yWsfPlJsnhOHc5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw86RV7Fbhdayc6RaF7kOfRMffwIp/1mZ9SbJP55DGvLAb0DfBNMrSMmvxkZ2jpRc6m9i58hucoBsRt/EsH2OlMOx9RZ2voWdb0XflAMdeVQuO9vGzpFqveF2dr6dne9g5zvY+U70TeyW2y7Mj2TBdrHz3ex8Nzvfw873sPO97HwvO9/Hzvex8/3sfD87P8DOD7Dzg+z8IDs/hL6JYXEAqdanHDb183LkGhwecYTP50fY+VF2fpSdH2Pnx9j5cVM/9zrOzk+w8xPs/CQ7P8nOT7HzU+z8NDs/zc7PsPMz7PwsOz/Lzs+x8/Ps/Dw7v8DOL7Dzi+z8Iju/xM4vsfPL7PwyO7/Czq+w86vs/Co7v8bOr7Hz6+z8Oju/wc6RIVPMQsVusvOb7PyWScdqde5+Bln144ORFW6b+vnjbXZ+h53fYed32flddn6Pnd9j5/fZ+X12/oCdP2DnD9n5Q3b+iJ0/YueP2fljdv6EnT9l50/Z+TN2/oydP2fnz9n5C3b+gp2/ZOcv2fkrdv6Knb9m56/Z+Rt2/oadv2Xnb9n5O3b+jp2/Z+fv2fkHdv6BnX9k5x/Z+Sd2/omdf2bnn9n5F3b+hZ1/Zedf2fk3dv6NnX9n59/Z+Q92/oOd/2TnUew8ip1Hs/Nodh7DzmPYeSw7j2Xnv9j5L3Yex87j2Plvdv6bncez83h2/oed/2HnCew8gZ0nsvNEdv6Xnf9l50nsPImdJ7PzZHaews5T2Pk/dv6PnbtY2jlSOXe1tHOkcu5maedI5dzd0s6RyrmHpZ17Wto5Ujn3srRzpHLubWnnSOXcx9LOkcq5r6WdI5VzP0s7Ryrn/pZ2jlTOAyztHKmcp7K0c6RyHmhp50h1Pk9taedI5TzI0udzpDqfB1v6fI5Uzm2Wdo5Uzu0Wr5+ytPMQSztHKuehlnaOVM7DLO0cqZyHW9o5UjmPsLRzpHIeaWnnSOXcYWnnhqWdI183+OzqZVraOVI/D7a0c6Ry7rS0c6RynsbSzpHKeVrUU65TRirn6SztHKmcp0c91UIWSzvPYGnnSOU8o6WdI5XzTJZ2jlTOM1vaOVI5z2Jp50jlPKulnSOV82yWdo5UzrNb2jlSOc9haedI5TynpZ0jNwxc3L9nLks7RyrnuS1eb2Vp53ks7TyvpZ0jlfN8lnaOVM7zW9o5Ui3zKWDp9YpI5bygpZ0jlfNCll63jVTOC1uklm0jMxy4cSdrEdSzRqn3W5Gl5IKhoqjncIffHmRjdeKx9DoiZL9yHcuUKI56Pr1X7wRSOS9haedI5bykpZ0jlfNSlnaOVM5LW9o5UjkXlnaOVM6JnRM7L8POy7Dzsuwc2fZrzhl9y7Hzcuy8PDuvwM4rsPOK7LwiO6/EzpFNUcXAyhbJ0+gcpF4PhXp6Ne+6EDlr+ZXhjqqWXieOVOtBqqGecjkmUi73yVzd0utNkOp1lxoW4eScvBOZKA9TTUuve0CqstayaI18fQip1mvVtvT5HKnO53UsfT5Hql9T19LrXpCj5LfrWXo9NhKj63uj+qin/AZSreNoYJF6XQh5E0e5fUPUE3vzEamWszdCPdU/RD3lAp3Gll5/g0yD4TGwCeoZL1+oQj1lAZqinpnxC5BqPWEzdt7cIlmuKcgklCGgBfomdm8WMkxtiKXXDSLVOqBWll53hqxuk28QsHOkWkfVBn3zEb6BHNNbvjnEzpFqHVs7S6+DRarh294iOSyPINV6pA6Wfi8BqYZHR4vXOaNvygJ0skgepmtItb68M/omynoHqcrVxdLrL5F63b+l1xsi+8jN6Ya+KZf5I9U/726Rer+pOzvvgb4pNxiJKuIb7Bwp2QztZZGctSUj1fqx3uibS7FjfSwKkv8QuQLDza8v+qYa4Oy8HztHqvXA/dE31S+wSJbfHMDOkXqdNDsfyM4HsfNB7HwwOx/Mzoew8yHsfCg7R8oqlhlmkfzpc0j13ttwS6/PRaphPgJ9U+4YUq+/t0gOtwdI9V7eKPRNDI/nSHXYR6Nvyvd8kGo90xiLZPk/IyvLso616H49OVLY+TiL1x9bej33ePRNbM5fpPo1E9A35YCciL4pv40UqqDom+A6bRI7n8zOJ7PzKex8Cjufys6nsvNp7HwaO5/Ozqez8xnsfAY7n8nOZ7LzWex8Fjufzc5ns/M57HwOO/+Pnf/Hzuey87nsfB47n8fO57Pz+ex8ATtfwM4XsvOF7HwRO1/Ezhez88XsfAk7X8LOl7LzZex8GTtfzs6Xs/MV7HwFO1/Jzley81XsfBU7X83OV7PzNex8DTtfy87XsvN17HwdO1/Pztez8w3sfAM738jON7LzTex8EzvfzM43s/Mt7HwLO9/Kzrey823sfBs7387Ot7PzHZgfSVg72PlOdr6Tne9i57vZ+W52voed72Hne9n5Xna+j53vY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnR9j58fZ+XF2foKdn2DnJ9n5SXZ+ip2fYuen2flpdn6GnZ9h52fZ+Vl2fo6dn2Pn59n5BXZ+gZ1fZOcX2fkldn6JnV9m55fZ+RV2foWdX2XnV9n5NXZ+jZ1fZ+fX2fkNdn6Dnd9k5zfZ+S12foud32bnt9n5HXZ+h53fZed32fk9dn6Pnd9n5/fZ+QN2/oCdP2TnD9n5I3b+iJ0/ZueP2fkTdv6EnT9l58/Y+TN2/pydP2fnL9j5C3b+kp2/ZOev2Pkrdv6anSPrVlk+OvMb1FO+H4nsPnjo+pxvLUpI/fngTqRel8rO37Hz9+z8PTv/wM6RDwv+LFrhIzv/yM4/sfNP7PwzO0fqdfPsHFkmut21Fl/ZObK5fP3mm6Xfa/rGzr9beh3+d3b+wyJnWNcasUj1/vpPdo688Gz/+OFRqGf/jAv/IdV7DtGo51rXY54xFv0t3vvGZOSUOy9e+ceinviYmUj517ZfqOfi7BHzkSfy4j/iLFLvkyIfy9f6f6Oe8kVtpHw9IGO8pdcLIwPlP/hj0dIGK7duR2b7nupE3gR2jixnfn1TOJGdJ7Lzv5Zen/6XnSexc6R+n4CdJ7PzFHaews7/sfN/7NzFqZ0jlXNXp3aOVM7dnNo5Ujl3d2rnSOXcw6mdI5VzT6d27uXUzpHKubdTO0cq5z5O7RypnPs6tXOkcu7n5Pc7nbyO26mdI5XzAKd2jlTOUzm1c6RyHujUzpHKeWqndo7U71k4tXOkch7spE0YxueQyrnNqZ0jlXO7UztHysNfL8RJ6v175ITht/Y2CXWSLURceIbE0XzUKgz1lAcQqd4DCXdSpb4Qg7zv2zl99wjUc/WDgj+R0FCpbyTqiY+JQ/rJF7scTv1eCVK9f2ignvL9chP1lAMWea0FRpqFesoXU5FyuKdyOkkO49lIN/mCRRrUE8NuIVIOJ0da1BPDZDmyiHwBOR3qKV/LRirn6Z3aOVI5z+DUzpHKeUbUU24AUm5+0UxOfs/Lqd/nyOwk+TFnkMp5FtRTbihSsq2WFfWUoJABcsBmc5Lkcw+pnGd3kvr/QyCV8xxOUq/PIJXznE7tHAldYV1zObVz5JyR+ODcTu0cqZzncVIxlDcBqZznderzeT6nPp8jlfP8Tu0cqZwXcGrnSOW8oFM7R6rzeSGndo5Uzgs7tXOkcl7EqZ0jlfOiTu0cqZwXc9KB8Rg4SOW8uJPk4T+MbCk/uIRTO0fKw1CupJO85ABDKuelnCTLcQ2p3s8s7aQS8kUjpNysBsJJDeVARL6Vr7OQU7+HhEzpgA0t46RpyfgPJKrv27msk/BbzK9I9Z5+Oad+rxGp3msq76SnGMbxSP3eoVO/D41U72FURD3lgankJHn4JyJzyA+u7KRDOFzTkfIwpK7i1O+9IVvLA1gV9UQ5FiPlbprVnOSDzV+JlJuVvrqT5K9bj9yFj8law0nyr7cioXV37ppOaiz/A/le/u8wajlJMjuIdJEDorZTv8eDVO/b12HnyEISXl0nyWF3BSmHU416Tv1+Vj12Xp+d12fnDdh5A3bekJ03ZOeN2Hkjdt6YnTdm503YeRN23pSdN2Xnzdh5c3benJ23YOct2HlLdt6Snbdi563YeWt23pqdt2Hnbdh5W3belp23Y+ft2Hl7dt6enXdg5x3YeUcn/Q9itA0g</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="316">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0j0KwkAQhuEtLT2GeIRUgXSpAoKIIARFO/H3AIKNpViIhYLHsPQoHsEjiMxkYYYEPcD7NB/ZnZ3dgYQAAAAAAF/d9L/9XLKcS7YPksuzrt8kB1ebLd3vnOy5y17XNR877bO1+V5JHjeSz7XNsJBMR3qulNz1JF+z+rr7xNaHsd1Pp3pP3+5X37HO35vZe5vq00L75vbbZ3yfiv0KO2d8Z27Xm97pz8f6aj1zfYeaie1X1flz1X8T53Tffv54T1I/z6/zfp743yYuG+7zc/m+AAAAAAAAAAAAAAAAAAAAAAAAAACg1gdAH1h6</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=133.014 Q3=71.200 sample=32 experiment=1 RT=4.00 ce=-30.00 name=malate" defaultArrayLength="2265" index="30">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="133.0142" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="71.2" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="128">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0jEOgCAMBVCOxugRnDkJR/NoJo4GtE2IcXhvYehvaQKlAADAT/StXuex18f6m2x/dG40n523un/1ffd6dL9srrdxfvYvZu8MAAAAAAAAAAAAAAAAAMDnTrpFE+s=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=135.056 Q3=78.200 sample=32 experiment=1 RT=0.61 ce=-30.00 name=N-methylnicotinamide" defaultArrayLength="2265" index="31">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="135.0564" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="78.2" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt3GVg1EoUBeC6U9rd6iZZ3N2dubi7u7u7uzs83N3d3d3d3R0qlNLSlndm5vbPeZSyTW7mu5kkk1fL+LRvTM1qYszLxW9/RjcXOx61GljL2VEsPR2TuOFsD1H+/hkxal9fcaRKgFuOSQPF3mExu2p3GyqyR5Xol1RqpKCmUzpOmzNW5DTOTrkfMFE0HLHjQNtRU/jzposit7q4Ly88W1RX35jDn7NAZLMV69rXuVQsfNLhzuH9K8WJZd+GBI9eI/JW3+BXMdN6Ef7fhvrLRmwSj2PTu2TKsU1U/57/87MnO0XGGpuL/o3aLa40+tmid+xesW273OADYob7mTbDtx4SBdTXUfGk7TqPL0eOC7rs1612ulPiRmSdJ8bw02L8iutbbmKfbD/tjqV5z4l9TeIOP5l6XjQ896CJ4/0F8Sf3oYQm4pJYslh+XRYlPYYVexx7RURPjvedUeOaGPW41JDGm66LdOXTRC5yuym6v7v+K1PuW+L44hPnKjy9JQJr7ZzXYfJt0dJjVfsJhe6InYdnF1z/5o5w6TXG4/ysu2LStbED+1e5J8IP3nZ54XZfbFqddlqlY/dF0em9QncPeCAuDzyx0pHnoah172TwlU8PxasTgcsKrHkkem9ukXl5s8fCdd62XV6hT8Sk6O3pD9x4IsKfJW1LM/mp2HShWpEpZZ6JoruX4Mg9EyflP9v3XNRK+HLcv+cL8eptscoDsrwUHcuUOJLx9UvxN7RC+ko1Xon6dbOsmrLrldg+09d5zf5aeF39ujRw0GvRyltW7LUoMGLKtAOl3ojph7v5Jqx6Iz7E1ZhUwuOtEPnzeo7s9FYs6mkbd+rKWxH/rs3qBwXfiUbNdp/8tuKdKLkoy5eXPu9FuvvLQ+72fS/GVJMH8L3oOLldi2cVP4iq5x9Purnrg9hSItuG946PYtbglbcejf8ofv6QXx/FvRwdIt80/iQKrtlX5M+ZTyLiZfa2X3N+FoMbDB3tuvCzeOlZRHz1/iIqHohNvjf4i9jWcdexE5+/CHt4j2Gbmn4VcS7uufdf/SrU5pT8JuTomLz9G4+772LWmbiszWd9F7/77vlYweWHaJGh14Y8fX6IU6Plhv4QGV9kKVi4zU+RuoH/v6TbP0Wpgdlju2SNEjFlbna83ylKhFqX34t1UeJs+y2t69+J4rpHifpv1y89lzZa3F14qPPTctGibvWrhWI6RgtVhhnRIs2v7iASLbqoAkSLZZ+rNd/3PVpUObP1jntAjCie4rxZJnuMuJVme/m9FWLEtjITgka0jxGqbONiRIcJhTYFrYkRKeUSv389FSOeSj4vY8TBSVsmjEqJEXM3j61TxYoVe3L3XOtaMlbMrF2x19WmsQI7XWL+kFhR/8TQn2OXxorRPb5ka3U8Vhyu+KJ6qzexIjbNnV6tvH+JXs0fR9TM+UtsKnS9RM06v8SbwNMtaw78JVSbWPpLNDi9aV3NU7/EzCXLLtZ8/0v4PVzbu5RfnPglmeaME2nlx9SME34YTXG94kSN8akgIk7M/lJzapfDceJe7dnnM7yIE31uH5i0xfO32HrzfsNveX4Lxajpb/GsM6SM/y1CO6UpfXbHb1GrQ+lUno9/6/13j9fHMVe8SGq1dOiVRvGiUEt0lLHxeru3xYtNTf98nPUgXqyKc8/31uUP948/wi4PXIM/4tx02Sj+iALndqNCf8S7lv3SdbnyR8xPKBjSPvqP8Mj3dnTviASx/+q6ft1EgnbYOUHM+pj2/vJ5CeJW4phFfU4liHp9fr8u8C1BFI7pmGgLTxTNHnxZ9KpMohhzpGeRHd0ThSzDjcWJIkOm2g+/X0gUB0vVz5UUmyh8YssnG+n+isaqwH+FYj3sr8CHYOD+FdUueZdaev+vePnKf+5mtySRd0FS28t5krSf5kniDrqG79Qk8aru0erFDyaJfD7bzKbvksT5tLv6dg5OFmp4l0gWik37ZM10ZrLYv2HIxWxHkoXU8+R9skj+PeDVsuAUIUfBoDIpwnGqWdoyfVJE1YaNx/mtThFoJq3f30oRy0b8CTjq9k9E/6raZGLRf8Ldd2qadj3/icebr21cveqf6PHx7+boO/+4H7rQ1aaWvWSEC+Wr6zbgeW4Xinv6cEy/ii50qAM6TEsXGobRt3KAC5VGFy00w4Vazne2PrXehZ7/e3Kv3gkXOpw06dfThy7UpxRGVpQLZR0pO48rqT6Y3pWUs+KudD06fnBgXVfCb1uUpasrpf4wJbHIWFdSfXipK0m1Vfe50oC5ER4Nb7iS6tufXGmcX7rESy5uhMHlcjjcjZbkqlh1VW43avDhbu3ZFdxod+1uSwY1d6PLSwGzvxtvpxvZ1h8/Hb7BjSaNzemMPuFGh2jsm4uP3Ohonw7tika7kVWo2Kzlfu6USp7oMrjTLTmsS7jT3FY5E87XdaeGn129mnd1p8Gnr99MHONO8Tmmlp+5xJ0GLqh4ON1ed9L9yp1uJ++sUeq9OwVUqZf9Roo7fargUrVhhAdlmLM288d8HvRvBkBX8yB51kru4EEzFqIBj/agTAPclvgs9aDjdRekm7nfgxrkzb7ZfsuD2uTHf332oJ4FRx8kN08aWnhr6UaGJ0XfRIMp4Em+xoqW2ap50hfZhtp4UvfcOMMO9qQfQd/et5/lSTfLyA7tSXUy9r337pgnyY/bfNeT9svh9cWTFnQ+EJHN1Ysiqo3c/S7ci+JPFo6bl8eL7g/+nDlfZS9S/bC1F+WVA3aoFwXIAz3Xi+RZpf52L1LngwteVFa2uVdedHyQLJAXoVtBpDeNTumcaUkub9qycXjciwrepPpHS29KSVg7v/NAbwrs/4Q2zvAmM7//k9vrvaneq0Ef/hz1JjlZyHrHm9Lh7Frrkzc1Lrbv0sAUb1KOQ3zo4vwZr89l96HVu33LxQsfOoWzRM76PjTSKtqpfBcfPR5H+lDJNyPKtpvrQ/Ks2WAz/h57We2ED8k2SHd9aGMqbMBHH71/iT601B8HLtCXVJ9O70tB8hcX9qVj2Uvh1OJLnZPpWtHWvqT6QT9fwkkHndCXCqsJjy+pvrnTl0Y+SH1u+llfipPsHvhSqj7bpj395EsZF/6bPfKvL/8eP9qbb1nj62n9SJ5FhxTwozLXiqY1K/pRiWprn81u4kfFM1QdNq6XH6l2PN6PcPIeVmyxH911Dzh0bwd//5wfdZlnoIJ+lDCspPfmH36k+60/qT4b7k9BgW+bVcjpT12elsPsyZ/Sxi/BFvjTkHN/x1/o6M/H15+mbN9b8MoMf1LzrtX+pOZB+/3pxIeyd+Zd8ad/6WTn8Sc5nEr+9qfPB3e6fwwIoNkN1zxumzGAJKMrJQMIkzUM3QB9/HsEEA5Kr6gJAaTmpysCSM5ClxwMIN2nAujaj8tny34PoPX9up1c45OKRsq2lTEVqfmoSEV53GrvOdM0FfnIidPAVNrlf6lIHe6dqUidf6+lontLPlgbP6Wir/J05RVIrpJlxkAa4fDbM7h8IC1vhplT20DS89VAeiWnucsCyU1NZAMpw7zbT/c8CKQKcy7VmRsbSL6yEEGpSQ7DzjlTU7G05oWDVVOTnDXbOuPPf6MiB05ITZ9moQBrUtOuhXNL5TmTmsahzZR+nZowu6ibxSWISE4Qg4No46fKuf+lC6JSaqISRJhc3+pSLoiW1MUJqV4QyTYe3S6Ix1cQbU8zOdJ7fBDdzVqkfdi8IMqG2Lc2iAIXe37/tCeIzt7FROtMEA0JrPu8yu0gvV+vggiT9LDHP4KoErrTquQgvf0BwbqvGcGEk+Xk+GzBuj8VDabO6bsPHlohmCIy1/NcWzeYDmwG2JbBNL7+oLrVuwVT+kdXL68YFEyy/ceNC6aZXlFhlWcH09Hnh/bkW4bPwfTC2BRModOrfvHYF0xl29kn/jgZTL2LP0v36GowLQ9GA34YTIcxq7r/JpjkX4/6Hqz7eHwwqfmvq43KYnr20c9Gat5ut+nxZNooD6ZDxzLZSJ13c9uonjx9FrbRiLgXmEnaaPCHP8NKVrLRmhQ02Fo2WvFz44VqjWy0RE7rW9poAdpF1442alto3Pu4HjY9rgfYaG8AYA6zUeGS6LxjbHRETpMn2bgv2Ui27d1zbRSK2d+xxTbtZ6WNvvnNHnZ9vY3I3ubs3a02Old2e5cXu226jx60kZzd/DxuozRbwlISztroch45EbBR//2hf6/esOn+eA/fPxXyZ/ljfL/ivN9eL230c92iBd3e4fsYfY8+26i8HFA/8fMt/ova8stGi48umJ060UblyoTNGvzPRj8uoBF62OnuC0w4fO00+eauHBRo1+PLZtfHLdxOat5o2GniumyYmtnp4+56i2tlsBNO+icLZLGTav857DSifWu/pNx2etFn6sx3+e3c/+xUtvSnx9uK22ldNVvL+aXt9CDf6XFDytrJJwJXNhXtpOa9Ve26r9W0k5rGNLDTw0vyRGyn9TVRqXZ2Kocy9elqp9eYHo3tY6dRXY/1nzvYTtWjWq/YNMqu3U60cx+yU8MCjVu+nGenX3PGZItaaqdkOb1YbSc5y3u5BZ8vp68H7bRsJSaMZ+2Ur/+/bvVu2gnNMv/Qp3Z6FIWJzwc7n+fttDLm/rDwJDupeb1XCMn20SsohH40xR5GhujtzBBCzeQO5wyhYDkwCodQfO39UTdFCGFWf75ylRBqJycydUPIkXNnr+LNQ0jN9zuE0ET71sicvUL4PBxC6eXX2BB6FIqOOy2EZsnLtPkhVCHZWD19RQjJ9uG5KYTkaWnk7hBSp4cjIVQjdma9/udCyOPj9Kzfr4fQETldeBhCvW9MvvPiVQhlOTNxY6MvIfR8//jht2JDSF03JIfofu4VSnnkZXBQKL3fGp/7UGSork+GUKqLYbU5Z6juo4VDSV1OiFAa0PN7o5Aqofp2QN1QCpYDoXkoXewNMR1C9bjoGUrycPQfHKrnG2NCaZWQ/yKUj1MoBWTBf60IJXWdtTGU1DR5dyi1ynY16OKRUFLXXedCSf7p0PVQklfV+R6GkrpceBVKEa5Zm7T5HkqX3gT/tCeG8v6E6fOjPYye4KozR9owwiip+CJnmD5PFgujY562EFExjNR8tm4Yqcu7VmF0YwsuULqHkZqGDgnTfWRCGL2shZnXf2E0O9+gXOlWhrHjMFLTu0Nh1Fde+J8P0/O222Gk+L8IY49htO/76q6v/4XRb1ymjA4KJ3Vdni6cHo7EmSNfuN7uiuH09U1hTM3DaUbW76lO9A6ns/KydWw4Yfa1pfW8cMo9e9WffBvCCRern1IOhtN0l3nbdl0IJ89Lx3HGDadRcsLzPJwSGgY36/Q5nORlYMKvcMLs7uY0lwjqKC/8AyLoZf9D5XaFR1ATOeHJEKHnB7kjSF2+Fo+gC//hhFkhgtQBrhNB8rRgtYigAnKi1TmCtu/yCi3bP4IyD85b696oCD6uEeTwHn/2z4IImntje/LUNRH0vCcu1HZEUKPCGOmHI/R893wEqcvhWxGkrs+eRVBpebn0MYIOGvjJ2AhSl2X/IujJ7Uy+O/0i9fwhLJJWFEPjSBepj3uuSFKn3aKR5I/2OqF8JE1otN47onYkyfaypVmk7vOdIilG3j7pG0ndBqBzjIyk9yVxgT8lUvf1+ZGk2t7qSD3et0Xq65pDkRT29ypmGpGk7h/cjCR5OfTjSSSNq1Nl+egPkZQU0e+hLSaSoHhnr8RIkncNLrk5aAsul9L6O3gcOmjzKMwUDAdhq1Nlz+igjflXThyb06EdFHTQg4AFD4uUcvB1iYPU7aAaDqq/uFa5Mg0dhNk+Zu4OGtsPjb+jg1zlhXYvB43JDNiDHOQiv0Y79HXPZAflfvK79v7ZDtqBtphqsYNyzehbruNqBz2bkcM4u9lBzTphBrjHQU/kjPaIg9S06oxDXx9cddBktM0xdx2kbgs9ddCkjY2u5H/nIK8x88tN++aguEz4DVEO2rcWDT7OQbiqrno+wUEF5G6lOEhfHxr0+nTJOv+8DD0+/A2a9S4mzZ3Uhh4/IYbuexEG5ZA3PiyDHPK2XTqDHt+Ir/c2k0GLqmOGkN0gdf8rt0Hy7oZVwKB7XsV7rEK2wVkgQ0GDfhTChBo5/PqEddkKGeTb4deBbUh1OV3Y0PM05O4c+NEihp5HINVxLmpQk5hpmU4i5WVl2WKG3h+k6+GHzSsXN0jdV0Gq+yIlDH08kWoeX9Ig+XEPkXXkBpYy6MVzfCHVeCttkJyevkOq86kwSF7GfkGuuosdIYNyyx9E4qda9itjUGU5wUPq86ZB7eSEAKlOe+UMPd8tb/C4R53k7bcKBmU+2ThmGnJvw4seqSsapAqDlGUJrWRQM3kBjVTzr8oGyc1bgXSXN0aqGCQ/bh1SXWdXNWjrFnwhi5aNPJ6rmkHqNh5S3Q+pbtArHxQa2UPuSA2D/hbBDyLVvKKmQeq+DlLPswxS9zeQx3Nhh2sbug8gHzXHHtcxSB62+0h5OBrXNWi0PHDIVLIw9Qye9xqUFbvbob5B+7Ebn5By87o1MOgWfu0PZAtZwIYGyR/7hRwkvxoZ5ClvHCDV7ebGBsnTiEsTjMf7KDSyuNyRpgaheh+mIBvIGyLNDHpTADM4pBx+9uYGJWNYLUBOxXCJbGGQupxDrpfTpZYG5cdhW4OUhyNTK0PPV5DqfNTa0OcvpNzdfG0MGovd2IdU9zXaGqTuwyCzywK2M+ggfuw0srz8am/Qnad7Gl5EtpIDtYOh55fIobLQHQ3yljuClMO+YSeD5HB+jNyJYdq8s0Hqfi1SzTO7GNRI7jBS3R/rapC63YVU9x+6GTQdhyMGKcs8oLtBG1G+P8iC8hf3MEjubgqylgTS06Bn2DyPXgap+55I+XF+vQ0ajx+bgQyWX30MknznIXPKgdrXIMltSV923o+d92Pn/dl5f3Y+gJ0PYOcD2flAdj6InQ9i54PZ+WB2PoSdD2HnQ9n5UHY+jJ0PY+fD2Tkynbqxy85HsPOR7HwkOx/Fzkex89HsfDQ7H8POx7Dzsex8LDsfx87Hs/Px7HwCO5/Aziey84nsfBI7n8TOJ7Pzyex8Cjufws6nsvOp7HwaO5/Gzqez8+nsfAY7n8HOZ7Lzmex8Fjufxc5ns/PZ7HwOO5/Dzv9j5/+x87nsfC47n8fO57Hz+ex8PjtfgHoemuEVtYCdL2TnC9n5Ina+mJ0vZudL2PkSdr6UnS9l58vY+TJ2vpydL2fnK9j5Cna+kp2vZOer2DkSs9ZBuVaz89XsfA07X8PO17Lztex8HTtfx87Xs3Nk1WHj8lTfwM43sPONBs+j2fkmQ99HQqrpw2aD5NOf10h1P2+Loa+fkTK6bkU95YMG5Jf5e3Cli3rmwkhHesod2I56NscPIPVzDYPw6Z1ddhr6vhMSs/QZXrsM0s+ZUM/P+KDdqKecuCPVfGkP6rnrNf4G9axcOylir0HrXp4IXIbML3/hPtRTPc9CPeXjwf2YD8jHcPvZ+QF2foCdH2TnB9n5IXaOPNgWM6LDqKd8fIK8PQc7cMTg6wvU81SxDFWPGiRv+15HekeFVa59DPWcNKHp3WPs/LhB8innY2TJmviEE+ibuFx4iVT3m06ib4bgCgIpy935lEH6eQ36JsrT6zT6ppwmIuXuDDiDvqlu2KNv4tcPO2uQ/NgUpHoecg59Uz1ARN9c+HzuJKQ82n4X0DdlgZFylhZ0EfMm+QPIwxj+YZfQN+WNYeTdY2+xReib8kAgf3zFjl4xSA0bpJ7noZ7yMCPl4ctzDfWUhwWp7oNfN/i6y9D3UW6gb8rdRsrdKXPTILWZSHV/5xb6pvxYpLqOu42+KQOpn5sZVFsOAOSLubLA6JtyB5Dq+uYe+iaq/hapnt/cR9/EcP2MlMOw+wN2jqysPsggjNocv5Ht5MT3EfomDl8SUj2Wfoy+KQvyBH0TZZyAVPfNnxr6Pg5SDbxn6JvYzDnIZrJwz9E3u8oNQ9+UE+8Xhp5/I9X130tDXy8i1f26V+ibcgdesfPXBqnhj1TPMd6gb8qBgpSjothb9E05vJDq+vYd+qYcDkj1PPw9+qY8fO/Z+QeDVLmRHeQv/MjOkfo5Bzv/xM4/s/PP7PwLO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/yc5/svModh7FzqPZeTQ7j2HnMew8lp3HsvNf7PwXO49j58hO6sBifiTbDFJd98ejb8q2gJRR5I9BivEfdp7AzhPYeSI7T2Tnf9n5X3aexM6T2HkyO09m5ynsPIWd/2Pn/9i5i6mdI5VzV1M7RyrnbqZ2jlTO3U3tHKmce5jauaepnSOVcy9TO0cq596mdo5Uzn1M7RypnPua2jlSOfcztXOkcu5vaudI5TzA1M6RynkqUztHKueBpnaOVM5Tm9o5UjkPMrVzpHIebGrnSOXcZmrnSOXcbmrnSOU8xNTOkcp5qKmdI5XzMFM7Ryrn4aZ2jlTOI0ztHKmcR5raucPUzpGqPIapnSPVwDNN7RypnFumdo5UP+40tXOkcp7G1M6RynlaUztHKufpTO0cqZ9Xmto5UjnPYGrnSOU8o6mdI/W6F1M7RyrnmU3tHKmcZzG1c6RyntXUzpHKeTZTO0cq59lN7RypnOcwtXOkcp7T1M6RynkuUztHKue5Te08j6mdI9UwzGtq50jlPJ+pnSPVYc5vaudI5byAqZ0jlfOCpnaOVLtdyNTOkcp5YVM7R6qPLWJq50gVRU3tHKmcFzO1c6RyXtzUz3uQynkJUztHKuclTe0cqZyXMrVzpHJe2tTOkfr5kamdI5VzYufEzsuw8zLsvCw7L8vOy7Hzcuy8PDuvwM4rsPOKJr1eKZpOqcjOK7HzSuy8MjtHrpvf+UBEFZPy5Xp4aSny5LkKT51V2XlVdl6NnVdj59XZeXV2XoOd12DnNdl5TXZei53XYue12Xltdl6Hnddh53XZeV12Xo+d12Pn9dl5fXbegJ03YOcN2XlDdt4I9Tz181o0Ut03box64o/xyJryQWYTdt6UnSN/y+VJzdg5Ut+HZudIdV+pBTtHVnzq3BLW0tT3Z5Gt/ZJumK3QN1d3fb0SKVd/pW9tks/tSl4bkOp5dxvUU65KQ6rndW1RTzng2rLzdqgnNvdQO3benp23Z+cd2HkHdt6RnXdk551QT0d9n9ud2Hlnk55XwZHuzM67sPMu7Lwr6rnp68C3SHVfrRs778bOu6OeXqhkd3bew+TnWOibKOfgnibfnzdJ7v6oXuy8NztH7jmDDepj6vu/SLX+oq+p7/cjP8nH6v3QNw+V27UQKfk5+pv6eTvSkjeiB6BvhqUkrEUW2dE9IMtA9E0M2y3IunIHB5n6PjSyh3wQMJidD2bnQ9j5EHY+1NTnc6Ra9zEM9ZQgkOq50XCT5G7dQMbI5SIj2DlSPWcYaerne0j5x5ajTH1fHqnWI4xG3zSx4cjm8i/GmPzcAn3z7ZULvceapJYHIv+z4QCMM/XzOqRatzXeJDl8XCaY+jkIsr4cSBPZObKXLMQk9E2UfRZSPReejL4pFzhMZudT2PkUdj4VfVNuEFKtb5qGvol/tgmp1mFNR9+U65CQ8rFuvhnom3KdGTKb/IuZJmEUjzmCVM8jZqGeGN6nkHLYlpuNvjkQO4hUz4XnmCSHzzXkvFIY6P+hb8oFbUh5GBvONfXzVqRaNzPP5Oc5JskytZ2PvikHHFKt21hgktzcr8hIuUEL2flCdr6InS9i54tNkkxTkF3khi9h50vRN9/H1Zi0lJ0vQ9+Uy+yWsfPlJsnhOHc5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw86RV7Fbhdayc6RaF7kOfRMffwIp/1mZ9SbJP55DGvLAb0DfBNMrSMmvxkZ2jpRc6m9i58hucoBsRt/EsH2OlMOx9RZ2voWdb0XflAMdeVQuO9vGzpFqveF2dr6dne9g5zvY+U70TeyW2y7Mj2TBdrHz3ex8Nzvfw873sPO97HwvO9/Hzvex8/3sfD87P8DOD7Dzg+z8IDs/hL6JYXEAqdanHDb183LkGhwecYTP50fY+VF2fpSdH2Pnx9j5cVM/9zrOzk+w8xPs/CQ7P8nOT7HzU+z8NDs/zc7PsPMz7PwsOz/Lzs+x8/Ps/Dw7v8DOL7Dzi+z8Iju/xM4vsfPL7PwyO7/Czq+w86vs/Co7v8bOr7Hz6+z8Oju/wc6RIVPMQsVusvOb7PyWScdqde5+Bln144ORFW6b+vnjbXZ+h53fYed32flddn6Pnd9j5/fZ+X12/oCdP2DnD9n5Q3b+iJ0/YueP2fljdv6EnT9l50/Z+TN2/oydP2fnz9n5C3b+gp2/ZOcv2fkrdv6Knb9m56/Z+Rt2/oadv2Xnb9n5O3b+jp2/Z+fv2fkHdv6BnX9k5x/Z+Sd2/omdf2bnn9n5F3b+hZ1/Zedf2fk3dv6NnX9n59/Z+Q92/oOd/2TnUew8ip1Hs/Nodh7DzmPYeSw7j2Xnv9j5L3Yex87j2Plvdv6bncez83h2/oed/2HnCew8gZ0nsvNEdv6Xnf9l50nsPImdJ7PzZHaews5T2Pk/dv6PnbtY2jlSOXe1tHOkcu5maedI5dzd0s6RyrmHpZ17Wto5Ujn3srRzpHLubWnnSOXcx9LOkcq5r6WdI5VzP0s7Ryrn/pZ2jlTOAyztHKmcp7K0c6RyHmhp50h1Pk9taedI5TzI0udzpDqfB1v6fI5Uzm2Wdo5Uzu0Wr5+ytPMQSztHKuehlnaOVM7DLO0cqZyHW9o5UjmPsLRzpHIeaWnnSOXcYWnnhqWdI183+OzqZVraOVI/D7a0c6Ry7rS0c6RynsbSzpHKeVrUU65TRirn6SztHKmcp0c91UIWSzvPYGnnSOU8o6WdI5XzTJZ2jlTOM1vaOVI5z2Jp50jlPKulnSOV82yWdo5UzrNb2jlSOc9haedI5TynpZ0jNwxc3L9nLks7RyrnuS1eb2Vp53ks7TyvpZ0jlfN8lnaOVM7zW9o5Ui3zKWDp9YpI5bygpZ0jlfNCll63jVTOC1uklm0jMxy4cSdrEdSzRqn3W5Gl5IKhoqjncIffHmRjdeKx9DoiZL9yHcuUKI56Pr1X7wRSOS9haedI5bykpZ0jlfNSlnaOVM5LW9o5UjkXlnaOVM6JnRM7L8POy7Dzsuwc2fZrzhl9y7Hzcuy8PDuvwM4rsPOK7LwiO6/EzpFNUcXAyhbJ0+gcpF4PhXp6Ne+6EDlr+ZXhjqqWXieOVOtBqqGecjkmUi73yVzd0utNkOp1lxoW4eScvBOZKA9TTUuve0CqstayaI18fQip1mvVtvT5HKnO53UsfT5Hql9T19LrXpCj5LfrWXo9NhKj63uj+qin/AZSreNoYJF6XQh5E0e5fUPUE3vzEamWszdCPdU/RD3lAp3Gll5/g0yD4TGwCeoZL1+oQj1lAZqinpnxC5BqPWEzdt7cIlmuKcgklCGgBfomdm8WMkxtiKXXDSLVOqBWll53hqxuk28QsHOkWkfVBn3zEb6BHNNbvjnEzpFqHVs7S6+DRarh294iOSyPINV6pA6Wfi8BqYZHR4vXOaNvygJ0skgepmtItb68M/omynoHqcrVxdLrL5F63b+l1xsi+8jN6Ya+KZf5I9U/726Rer+pOzvvgb4pNxiJKuIb7Bwp2QztZZGctSUj1fqx3uibS7FjfSwKkv8QuQLDza8v+qYa4Oy8HztHqvXA/dE31S+wSJbfHMDOkXqdNDsfyM4HsfNB7HwwOx/Mzoew8yHsfCg7R8oqlhlmkfzpc0j13ttwS6/PRaphPgJ9U+4YUq+/t0gOtwdI9V7eKPRNDI/nSHXYR6Nvyvd8kGo90xiLZPk/IyvLso616H49OVLY+TiL1x9bej33ePRNbM5fpPo1E9A35YCciL4pv40UqqDom+A6bRI7n8zOJ7PzKex8Cjufys6nsvNp7HwaO5/Ozqez8xnsfAY7n8nOZ7LzWex8Fjufzc5ns/M57HwOO/+Pnf/Hzuey87nsfB47n8fO57Pz+ex8ATtfwM4XsvOF7HwRO1/Ezhez88XsfAk7X8LOl7LzZex8GTtfzs6Xs/MV7HwFO1/Jzley81XsfBU7X83OV7PzNex8DTtfy87XsvN17HwdO1/Pztez8w3sfAM738jON7LzTex8EzvfzM43s/Mt7HwLO9/Kzrey823sfBs7387Ot7PzHZgfSVg72PlOdr6Tne9i57vZ+W52voed72Hne9n5Xna+j53vY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnR9j58fZ+XF2foKdn2DnJ9n5SXZ+ip2fYuen2flpdn6GnZ9h52fZ+Vl2fo6dn2Pn59n5BXZ+gZ1fZOcX2fkldn6JnV9m55fZ+RV2foWdX2XnV9n5NXZ+jZ1fZ+fX2fkNdn6Dnd9k5zfZ+S12foud32bnt9n5HXZ+h53fZed32fk9dn6Pnd9n5/fZ+QN2/oCdP2TnD9n5I3b+iJ0/ZueP2fkTdv6EnT9l58/Y+TN2/pydP2fnL9j5C3b+kp2/ZOev2Pkrdv6anSPrVlk+OvMb1FO+H4nsPnjo+pxvLUpI/fngTqRel8rO37Hz9+z8PTv/wM6RDwv+LFrhIzv/yM4/sfNP7PwzO0fqdfPsHFkmut21Fl/ZObK5fP3mm6Xfa/rGzr9beh3+d3b+wyJnWNcasUj1/vpPdo688Gz/+OFRqGf/jAv/IdV7DtGo51rXY54xFv0t3vvGZOSUOy9e+ceinviYmUj517ZfqOfi7BHzkSfy4j/iLFLvkyIfy9f6f6Oe8kVtpHw9IGO8pdcLIwPlP/hj0dIGK7duR2b7nupE3gR2jixnfn1TOJGdJ7Lzv5Zen/6XnSexc6R+n4CdJ7PzFHaews7/sfN/7NzFqZ0jlXNXp3aOVM7dnNo5Ujl3d2rnSOXcw6mdI5VzT6d27uXUzpHKubdTO0cq5z5O7RypnPs6tXOkcu7n5Pc7nbyO26mdI5XzAKd2jlTOUzm1c6RyHujUzpHKeWqndo7U71k4tXOkch7spE0YxueQyrnNqZ0jlXO7UztHysNfL8RJ6v175ITht/Y2CXWSLURceIbE0XzUKgz1lAcQqd4DCXdSpb4Qg7zv2zl99wjUc/WDgj+R0FCpbyTqiY+JQ/rJF7scTv1eCVK9f2ignvL9chP1lAMWea0FRpqFesoXU5FyuKdyOkkO49lIN/mCRRrUE8NuIVIOJ0da1BPDZDmyiHwBOR3qKV/LRirn6Z3aOVI5z+DUzpHKeUbUU24AUm5+0UxOfs/Lqd/nyOwk+TFnkMp5FtRTbihSsq2WFfWUoJABcsBmc5Lkcw+pnGd3kvr/QyCV8xxOUq/PIJXznE7tHAldYV1zObVz5JyR+ODcTu0cqZzncVIxlDcBqZznderzeT6nPp8jlfP8Tu0cqZwXcGrnSOW8oFM7R6rzeSGndo5Uzgs7tXOkcl7EqZ0jlfOiTu0cqZwXc9KB8Rg4SOW8uJPk4T+MbCk/uIRTO0fKw1CupJO85ABDKuelnCTLcQ2p3s8s7aQS8kUjpNysBsJJDeVARL6Vr7OQU7+HhEzpgA0t46RpyfgPJKrv27msk/BbzK9I9Z5+Oad+rxGp3msq76SnGMbxSP3eoVO/D41U72FURD3lgankJHn4JyJzyA+u7KRDOFzTkfIwpK7i1O+9IVvLA1gV9UQ5FiPlbprVnOSDzV+JlJuVvrqT5K9bj9yFj8law0nyr7cioXV37ppOaiz/A/le/u8wajlJMjuIdJEDorZTv8eDVO/b12HnyEISXl0nyWF3BSmHU416Tv1+Vj12Xp+d12fnDdh5A3bekJ03ZOeN2Hkjdt6YnTdm503YeRN23pSdN2Xnzdh5c3benJ23YOct2HlLdt6Snbdi563YeWt23pqdt2Hnbdh5W3belp23Y+ft2Hl7dt6enXdg5x3YeUcn/Q9itA0g</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="72">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztzjEBAAAEADDRBBBB/xxuCTi2BIuAbzqvB1vl9QAAAAAAAAAAAAAAAAAAAAAAPhvV6gEp</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=136.040 Q3=91.900 sample=32 experiment=1 RT=1.46 ce=-15.00 name=4-aminobenzoic_acid" defaultArrayLength="2265" index="32">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="136.0404" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-15" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="91.9" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="448">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0jtKA1EYhuGsQFKkiGBh4SqsggjuIVWKFEOIMIqKSiLxgoiIBvEuXhIRG0FbL8gUQadR3IJbEOyFfP8J/nEL79O8zDknZ85MJpMB4JR3C92m22q0p5abau5QrVpz+2r+2Mat0YHtc6HG1tFLdehczbZsvK022368emo9Ugfs950T9bHl12ev1Jdrv++zjcdn/pzxjp13WS1N2T4z/ro0qSZFP58p2XjF9pu11v26eMHfJ8wn69Y1W2+NVtX8po2v+CaLdj1v10t+PJw73Dfb6Ftv64Zr/txhXe955/x8Mu33D88X1oX5f+8h7vtdeF77rsL/Gxr+v8qNOn6rjtyrYw/dNtKOrr/e1Np7t4Xip+YnPtSfV80PPqnfd2rv+7HvPN1S8xt2fnt/4T2F9wYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPDHL/j6eo0=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=145.014 Q3=100.900 sample=32 experiment=1 RT=4.01 ce=-15.00 name=a-Ketoglutaric_acid" defaultArrayLength="2265" index="33">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="145.0142" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-15" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="100.9" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="368">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0b9KA0EQx/FYGPIQKSzzAgHLpEslV1qGq44UEgJCQJAjGhCU/CFdLC0stLNIacBGQeu0eQJJI1goiDszB7NYm+b7aX7c7t7c7FypBAAAAGzJ57gRsnsi2b6QTIaSz2e63tfMJBs9zdSvtwaSmytf73zq9yszydcbyfd7yf1bv55d+jr5kfY7kvyS8/nDU8j2wVry7SNkUt9t/mbtrhxyb7ETcl3dhP3l90reH7zo9x8lOwvJufaTXfs+uqeSNqfkWOdx6Odhc1pO9F6z6F7R3IzVyVtaJ/372d63uVgfxfdTv29p/zNej88X9aLzVr+4d+r7BwAAAAAAAAAAAAAAAAAAAAAAAAAAwL/7AXQIW0w=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=145.051 Q3=81.000 sample=32 experiment=1 RT=3.96 ce=-45.00 name=adipic_acid" defaultArrayLength="2265" index="34">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="145.0506" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-45" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="81" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt3GVg1EoUBeC6U9rd6iZZ3N2dubi7u7u7uzs83N3d3d3d3R0qlNLSlndm5vbPeZSyTW7mu5kkk1fL+LRvTM1qYszLxW9/RjcXOx61GljL2VEsPR2TuOFsD1H+/hkxal9fcaRKgFuOSQPF3mExu2p3GyqyR5Xol1RqpKCmUzpOmzNW5DTOTrkfMFE0HLHjQNtRU/jzposit7q4Ly88W1RX35jDn7NAZLMV69rXuVQsfNLhzuH9K8WJZd+GBI9eI/JW3+BXMdN6Ef7fhvrLRmwSj2PTu2TKsU1U/57/87MnO0XGGpuL/o3aLa40+tmid+xesW273OADYob7mTbDtx4SBdTXUfGk7TqPL0eOC7rs1612ulPiRmSdJ8bw02L8iutbbmKfbD/tjqV5z4l9TeIOP5l6XjQ896CJ4/0F8Sf3oYQm4pJYslh+XRYlPYYVexx7RURPjvedUeOaGPW41JDGm66LdOXTRC5yuym6v7v+K1PuW+L44hPnKjy9JQJr7ZzXYfJt0dJjVfsJhe6InYdnF1z/5o5w6TXG4/ysu2LStbED+1e5J8IP3nZ54XZfbFqddlqlY/dF0em9QncPeCAuDzyx0pHnoah172TwlU8PxasTgcsKrHkkem9ukXl5s8fCdd62XV6hT8Sk6O3pD9x4IsKfJW1LM/mp2HShWpEpZZ6JoruX4Mg9EyflP9v3XNRK+HLcv+cL8eptscoDsrwUHcuUOJLx9UvxN7RC+ko1Xon6dbOsmrLrldg+09d5zf5aeF39ujRw0GvRyltW7LUoMGLKtAOl3ojph7v5Jqx6Iz7E1ZhUwuOtEPnzeo7s9FYs6mkbd+rKWxH/rs3qBwXfiUbNdp/8tuKdKLkoy5eXPu9FuvvLQ+72fS/GVJMH8L3oOLldi2cVP4iq5x9Purnrg9hSItuG946PYtbglbcejf8ofv6QXx/FvRwdIt80/iQKrtlX5M+ZTyLiZfa2X3N+FoMbDB3tuvCzeOlZRHz1/iIqHohNvjf4i9jWcdexE5+/CHt4j2Gbmn4VcS7uufdf/SrU5pT8JuTomLz9G4+772LWmbiszWd9F7/77vlYweWHaJGh14Y8fX6IU6Plhv4QGV9kKVi4zU+RuoH/v6TbP0Wpgdlju2SNEjFlbna83ylKhFqX34t1UeJs+y2t69+J4rpHifpv1y89lzZa3F14qPPTctGibvWrhWI6RgtVhhnRIs2v7iASLbqoAkSLZZ+rNd/3PVpUObP1jntAjCie4rxZJnuMuJVme/m9FWLEtjITgka0jxGqbONiRIcJhTYFrYkRKeUSv389FSOeSj4vY8TBSVsmjEqJEXM3j61TxYoVe3L3XOtaMlbMrF2x19WmsQI7XWL+kFhR/8TQn2OXxorRPb5ka3U8Vhyu+KJ6qzexIjbNnV6tvH+JXs0fR9TM+UtsKnS9RM06v8SbwNMtaw78JVSbWPpLNDi9aV3NU7/EzCXLLtZ8/0v4PVzbu5RfnPglmeaME2nlx9SME34YTXG94kSN8akgIk7M/lJzapfDceJe7dnnM7yIE31uH5i0xfO32HrzfsNveX4Lxajpb/GsM6SM/y1CO6UpfXbHb1GrQ+lUno9/6/13j9fHMVe8SGq1dOiVRvGiUEt0lLHxeru3xYtNTf98nPUgXqyKc8/31uUP948/wi4PXIM/4tx02Sj+iALndqNCf8S7lv3SdbnyR8xPKBjSPvqP8Mj3dnTviASx/+q6ft1EgnbYOUHM+pj2/vJ5CeJW4phFfU4liHp9fr8u8C1BFI7pmGgLTxTNHnxZ9KpMohhzpGeRHd0ThSzDjcWJIkOm2g+/X0gUB0vVz5UUmyh8YssnG+n+isaqwH+FYj3sr8CHYOD+FdUueZdaev+vePnKf+5mtySRd0FS28t5krSf5kniDrqG79Qk8aru0erFDyaJfD7bzKbvksT5tLv6dg5OFmp4l0gWik37ZM10ZrLYv2HIxWxHkoXU8+R9skj+PeDVsuAUIUfBoDIpwnGqWdoyfVJE1YaNx/mtThFoJq3f30oRy0b8CTjq9k9E/6raZGLRf8Ldd2qadj3/icebr21cveqf6PHx7+boO/+4H7rQ1aaWvWSEC+Wr6zbgeW4Xinv6cEy/ii50qAM6TEsXGobRt3KAC5VGFy00w4Vazne2PrXehZ7/e3Kv3gkXOpw06dfThy7UpxRGVpQLZR0pO48rqT6Y3pWUs+KudD06fnBgXVfCb1uUpasrpf4wJbHIWFdSfXipK0m1Vfe50oC5ER4Nb7iS6tufXGmcX7rESy5uhMHlcjjcjZbkqlh1VW43avDhbu3ZFdxod+1uSwY1d6PLSwGzvxtvpxvZ1h8/Hb7BjSaNzemMPuFGh2jsm4uP3Ohonw7tika7kVWo2Kzlfu6USp7oMrjTLTmsS7jT3FY5E87XdaeGn129mnd1p8Gnr99MHONO8Tmmlp+5xJ0GLqh4ON1ed9L9yp1uJ++sUeq9OwVUqZf9Roo7fargUrVhhAdlmLM288d8HvRvBkBX8yB51kru4EEzFqIBj/agTAPclvgs9aDjdRekm7nfgxrkzb7ZfsuD2uTHf332oJ4FRx8kN08aWnhr6UaGJ0XfRIMp4Em+xoqW2ap50hfZhtp4UvfcOMMO9qQfQd/et5/lSTfLyA7tSXUy9r337pgnyY/bfNeT9svh9cWTFnQ+EJHN1Ysiqo3c/S7ci+JPFo6bl8eL7g/+nDlfZS9S/bC1F+WVA3aoFwXIAz3Xi+RZpf52L1LngwteVFa2uVdedHyQLJAXoVtBpDeNTumcaUkub9qycXjciwrepPpHS29KSVg7v/NAbwrs/4Q2zvAmM7//k9vrvaneq0Ef/hz1JjlZyHrHm9Lh7Frrkzc1Lrbv0sAUb1KOQ3zo4vwZr89l96HVu33LxQsfOoWzRM76PjTSKtqpfBcfPR5H+lDJNyPKtpvrQ/Ks2WAz/h57We2ED8k2SHd9aGMqbMBHH71/iT601B8HLtCXVJ9O70tB8hcX9qVj2Uvh1OJLnZPpWtHWvqT6QT9fwkkHndCXCqsJjy+pvrnTl0Y+SH1u+llfipPsHvhSqj7bpj395EsZF/6bPfKvL/8eP9qbb1nj62n9SJ5FhxTwozLXiqY1K/pRiWprn81u4kfFM1QdNq6XH6l2PN6PcPIeVmyxH911Dzh0bwd//5wfdZlnoIJ+lDCspPfmH36k+60/qT4b7k9BgW+bVcjpT12elsPsyZ/Sxi/BFvjTkHN/x1/o6M/H15+mbN9b8MoMf1LzrtX+pOZB+/3pxIeyd+Zd8ad/6WTn8Sc5nEr+9qfPB3e6fwwIoNkN1zxumzGAJKMrJQMIkzUM3QB9/HsEEA5Kr6gJAaTmpysCSM5ClxwMIN2nAujaj8tny34PoPX9up1c45OKRsq2lTEVqfmoSEV53GrvOdM0FfnIidPAVNrlf6lIHe6dqUidf6+lontLPlgbP6Wir/J05RVIrpJlxkAa4fDbM7h8IC1vhplT20DS89VAeiWnucsCyU1NZAMpw7zbT/c8CKQKcy7VmRsbSL6yEEGpSQ7DzjlTU7G05oWDVVOTnDXbOuPPf6MiB05ITZ9moQBrUtOuhXNL5TmTmsahzZR+nZowu6ibxSWISE4Qg4No46fKuf+lC6JSaqISRJhc3+pSLoiW1MUJqV4QyTYe3S6Ix1cQbU8zOdJ7fBDdzVqkfdi8IMqG2Lc2iAIXe37/tCeIzt7FROtMEA0JrPu8yu0gvV+vggiT9LDHP4KoErrTquQgvf0BwbqvGcGEk+Xk+GzBuj8VDabO6bsPHlohmCIy1/NcWzeYDmwG2JbBNL7+oLrVuwVT+kdXL68YFEyy/ceNC6aZXlFhlWcH09Hnh/bkW4bPwfTC2BRModOrfvHYF0xl29kn/jgZTL2LP0v36GowLQ9GA34YTIcxq7r/JpjkX4/6Hqz7eHwwqfmvq43KYnr20c9Gat5ut+nxZNooD6ZDxzLZSJ13c9uonjx9FrbRiLgXmEnaaPCHP8NKVrLRmhQ02Fo2WvFz44VqjWy0RE7rW9poAdpF1442alto3Pu4HjY9rgfYaG8AYA6zUeGS6LxjbHRETpMn2bgv2Ui27d1zbRSK2d+xxTbtZ6WNvvnNHnZ9vY3I3ubs3a02Old2e5cXu226jx60kZzd/DxuozRbwlISztroch45EbBR//2hf6/esOn+eA/fPxXyZ/ljfL/ivN9eL230c92iBd3e4fsYfY8+26i8HFA/8fMt/ova8stGi48umJ060UblyoTNGvzPRj8uoBF62OnuC0w4fO00+eauHBRo1+PLZtfHLdxOat5o2GniumyYmtnp4+56i2tlsBNO+icLZLGTav857DSifWu/pNx2etFn6sx3+e3c/+xUtvSnx9uK22ldNVvL+aXt9CDf6XFDytrJJwJXNhXtpOa9Ve26r9W0k5rGNLDTw0vyRGyn9TVRqXZ2Kocy9elqp9eYHo3tY6dRXY/1nzvYTtWjWq/YNMqu3U60cx+yU8MCjVu+nGenX3PGZItaaqdkOb1YbSc5y3u5BZ8vp68H7bRsJSaMZ+2Ur/+/bvVu2gnNMv/Qp3Z6FIWJzwc7n+fttDLm/rDwJDupeb1XCMn20SsohH40xR5GhujtzBBCzeQO5wyhYDkwCodQfO39UTdFCGFWf75ylRBqJycydUPIkXNnr+LNQ0jN9zuE0ET71sicvUL4PBxC6eXX2BB6FIqOOy2EZsnLtPkhVCHZWD19RQjJ9uG5KYTkaWnk7hBSp4cjIVQjdma9/udCyOPj9Kzfr4fQETldeBhCvW9MvvPiVQhlOTNxY6MvIfR8//jht2JDSF03JIfofu4VSnnkZXBQKL3fGp/7UGSork+GUKqLYbU5Z6juo4VDSV1OiFAa0PN7o5Aqofp2QN1QCpYDoXkoXewNMR1C9bjoGUrycPQfHKrnG2NCaZWQ/yKUj1MoBWTBf60IJXWdtTGU1DR5dyi1ynY16OKRUFLXXedCSf7p0PVQklfV+R6GkrpceBVKEa5Zm7T5HkqX3gT/tCeG8v6E6fOjPYye4KozR9owwiip+CJnmD5PFgujY562EFExjNR8tm4Yqcu7VmF0YwsuULqHkZqGDgnTfWRCGL2shZnXf2E0O9+gXOlWhrHjMFLTu0Nh1Fde+J8P0/O222Gk+L8IY49htO/76q6v/4XRb1ymjA4KJ3Vdni6cHo7EmSNfuN7uiuH09U1hTM3DaUbW76lO9A6ns/KydWw4Yfa1pfW8cMo9e9WffBvCCRern1IOhtN0l3nbdl0IJ89Lx3HGDadRcsLzPJwSGgY36/Q5nORlYMKvcMLs7uY0lwjqKC/8AyLoZf9D5XaFR1ATOeHJEKHnB7kjSF2+Fo+gC//hhFkhgtQBrhNB8rRgtYigAnKi1TmCtu/yCi3bP4IyD85b696oCD6uEeTwHn/2z4IImntje/LUNRH0vCcu1HZEUKPCGOmHI/R893wEqcvhWxGkrs+eRVBpebn0MYIOGvjJ2AhSl2X/IujJ7Uy+O/0i9fwhLJJWFEPjSBepj3uuSFKn3aKR5I/2OqF8JE1otN47onYkyfaypVmk7vOdIilG3j7pG0ndBqBzjIyk9yVxgT8lUvf1+ZGk2t7qSD3et0Xq65pDkRT29ypmGpGk7h/cjCR5OfTjSSSNq1Nl+egPkZQU0e+hLSaSoHhnr8RIkncNLrk5aAsul9L6O3gcOmjzKMwUDAdhq1Nlz+igjflXThyb06EdFHTQg4AFD4uUcvB1iYPU7aAaDqq/uFa5Mg0dhNk+Zu4OGtsPjb+jg1zlhXYvB43JDNiDHOQiv0Y79HXPZAflfvK79v7ZDtqBtphqsYNyzehbruNqBz2bkcM4u9lBzTphBrjHQU/kjPaIg9S06oxDXx9cddBktM0xdx2kbgs9ddCkjY2u5H/nIK8x88tN++aguEz4DVEO2rcWDT7OQbiqrno+wUEF5G6lOEhfHxr0+nTJOv+8DD0+/A2a9S4mzZ3Uhh4/IYbuexEG5ZA3PiyDHPK2XTqDHt+Ir/c2k0GLqmOGkN0gdf8rt0Hy7oZVwKB7XsV7rEK2wVkgQ0GDfhTChBo5/PqEddkKGeTb4deBbUh1OV3Y0PM05O4c+NEihp5HINVxLmpQk5hpmU4i5WVl2WKG3h+k6+GHzSsXN0jdV0Gq+yIlDH08kWoeX9Ig+XEPkXXkBpYy6MVzfCHVeCttkJyevkOq86kwSF7GfkGuuosdIYNyyx9E4qda9itjUGU5wUPq86ZB7eSEAKlOe+UMPd8tb/C4R53k7bcKBmU+2ThmGnJvw4seqSsapAqDlGUJrWRQM3kBjVTzr8oGyc1bgXSXN0aqGCQ/bh1SXWdXNWjrFnwhi5aNPJ6rmkHqNh5S3Q+pbtArHxQa2UPuSA2D/hbBDyLVvKKmQeq+DlLPswxS9zeQx3Nhh2sbug8gHzXHHtcxSB62+0h5OBrXNWi0PHDIVLIw9Qye9xqUFbvbob5B+7Ebn5By87o1MOgWfu0PZAtZwIYGyR/7hRwkvxoZ5ClvHCDV7ebGBsnTiEsTjMf7KDSyuNyRpgaheh+mIBvIGyLNDHpTADM4pBx+9uYGJWNYLUBOxXCJbGGQupxDrpfTpZYG5cdhW4OUhyNTK0PPV5DqfNTa0OcvpNzdfG0MGovd2IdU9zXaGqTuwyCzywK2M+ggfuw0srz8am/Qnad7Gl5EtpIDtYOh55fIobLQHQ3yljuClMO+YSeD5HB+jNyJYdq8s0Hqfi1SzTO7GNRI7jBS3R/rapC63YVU9x+6GTQdhyMGKcs8oLtBG1G+P8iC8hf3MEjubgqylgTS06Bn2DyPXgap+55I+XF+vQ0ajx+bgQyWX30MknznIXPKgdrXIMltSV923o+d92Pn/dl5f3Y+gJ0PYOcD2flAdj6InQ9i54PZ+WB2PoSdD2HnQ9n5UHY+jJ0PY+fD2Tkynbqxy85HsPOR7HwkOx/Fzkex89HsfDQ7H8POx7Dzsex8LDsfx87Hs/Px7HwCO5/Aziey84nsfBI7n8TOJ7Pzyex8Cjufws6nsvOp7HwaO5/Gzqez8+nsfAY7n8HOZ7Lzmex8Fjufxc5ns/PZ7HwOO5/Dzv9j5/+x87nsfC47n8fO57Hz+ex8PjtfgHoemuEVtYCdL2TnC9n5Ina+mJ0vZudL2PkSdr6UnS9l58vY+TJ2vpydL2fnK9j5Cna+kp2vZOer2DkSs9ZBuVaz89XsfA07X8PO17Lztex8HTtfx87Xs3Nk1WHj8lTfwM43sPONBs+j2fkmQ99HQqrpw2aD5NOf10h1P2+Loa+fkTK6bkU95YMG5Jf5e3Cli3rmwkhHesod2I56NscPIPVzDYPw6Z1ddhr6vhMSs/QZXrsM0s+ZUM/P+KDdqKecuCPVfGkP6rnrNf4G9axcOylir0HrXp4IXIbML3/hPtRTPc9CPeXjwf2YD8jHcPvZ+QF2foCdH2TnB9n5IXaOPNgWM6LDqKd8fIK8PQc7cMTg6wvU81SxDFWPGiRv+15HekeFVa59DPWcNKHp3WPs/LhB8innY2TJmviEE+ibuFx4iVT3m06ib4bgCgIpy935lEH6eQ36JsrT6zT6ppwmIuXuDDiDvqlu2KNv4tcPO2uQ/NgUpHoecg59Uz1ARN9c+HzuJKQ82n4X0DdlgZFylhZ0EfMm+QPIwxj+YZfQN+WNYeTdY2+xReib8kAgf3zFjl4xSA0bpJ7noZ7yMCPl4ctzDfWUhwWp7oNfN/i6y9D3UW6gb8rdRsrdKXPTILWZSHV/5xb6pvxYpLqOu42+KQOpn5sZVFsOAOSLubLA6JtyB5Dq+uYe+iaq/hapnt/cR9/EcP2MlMOw+wN2jqysPsggjNocv5Ht5MT3EfomDl8SUj2Wfoy+KQvyBH0TZZyAVPfNnxr6Pg5SDbxn6JvYzDnIZrJwz9E3u8oNQ9+UE+8Xhp5/I9X130tDXy8i1f26V+ibcgdesfPXBqnhj1TPMd6gb8qBgpSjothb9E05vJDq+vYd+qYcDkj1PPw9+qY8fO/Z+QeDVLmRHeQv/MjOkfo5Bzv/xM4/s/PP7PwLO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/yc5/svModh7FzqPZeTQ7j2HnMew8lp3HsvNf7PwXO49j58hO6sBifiTbDFJd98ejb8q2gJRR5I9BivEfdp7AzhPYeSI7T2Tnf9n5X3aexM6T2HkyO09m5ynsPIWd/2Pn/9i5i6mdI5VzV1M7RyrnbqZ2jlTO3U3tHKmce5jauaepnSOVcy9TO0cq596mdo5Uzn1M7RypnPua2jlSOfcztXOkcu5vaudI5TzA1M6RynkqUztHKueBpnaOVM5Tm9o5UjkPMrVzpHIebGrnSOXcZmrnSOXcbmrnSOU8xNTOkcp5qKmdI5XzMFM7Ryrn4aZ2jlTOI0ztHKmcR5raucPUzpGqPIapnSPVwDNN7RypnFumdo5UP+40tXOkcp7G1M6RynlaUztHKufpTO0cqZ9Xmto5UjnPYGrnSOU8o6mdI/W6F1M7RyrnmU3tHKmcZzG1c6RyntXUzpHKeTZTO0cq59lN7RypnOcwtXOkcp7T1M6RynkuUztHKue5Te08j6mdI9UwzGtq50jlPJ+pnSPVYc5vaudI5byAqZ0jlfOCpnaOVLtdyNTOkcp5YVM7R6qPLWJq50gVRU3tHKmcFzO1c6RyXtzUz3uQynkJUztHKuclTe0cqZyXMrVzpHJe2tTOkfr5kamdI5VzYufEzsuw8zLsvCw7L8vOy7Hzcuy8PDuvwM4rsPOKJr1eKZpOqcjOK7HzSuy8MjtHrpvf+UBEFZPy5Xp4aSny5LkKT51V2XlVdl6NnVdj59XZeXV2XoOd12DnNdl5TXZei53XYue12Xltdl6Hnddh53XZeV12Xo+d12Pn9dl5fXbegJ03YOcN2XlDdt4I9Tz181o0Ut03box64o/xyJryQWYTdt6UnSN/y+VJzdg5Ut+HZudIdV+pBTtHVnzq3BLW0tT3Z5Gt/ZJumK3QN1d3fb0SKVd/pW9tks/tSl4bkOp5dxvUU65KQ6rndW1RTzng2rLzdqgnNvdQO3benp23Z+cd2HkHdt6RnXdk551QT0d9n9ud2Hlnk55XwZHuzM67sPMu7Lwr6rnp68C3SHVfrRs778bOu6OeXqhkd3bew+TnWOibKOfgnibfnzdJ7v6oXuy8NztH7jmDDepj6vu/SLX+oq+p7/cjP8nH6v3QNw+V27UQKfk5+pv6eTvSkjeiB6BvhqUkrEUW2dE9IMtA9E0M2y3IunIHB5n6PjSyh3wQMJidD2bnQ9j5EHY+1NTnc6Ra9zEM9ZQgkOq50XCT5G7dQMbI5SIj2DlSPWcYaerne0j5x5ajTH1fHqnWI4xG3zSx4cjm8i/GmPzcAn3z7ZULvceapJYHIv+z4QCMM/XzOqRatzXeJDl8XCaY+jkIsr4cSBPZObKXLMQk9E2UfRZSPReejL4pFzhMZudT2PkUdj4VfVNuEFKtb5qGvol/tgmp1mFNR9+U65CQ8rFuvhnom3KdGTKb/IuZJmEUjzmCVM8jZqGeGN6nkHLYlpuNvjkQO4hUz4XnmCSHzzXkvFIY6P+hb8oFbUh5GBvONfXzVqRaNzPP5Oc5JskytZ2PvikHHFKt21hgktzcr8hIuUEL2flCdr6InS9i54tNkkxTkF3khi9h50vRN9/H1Zi0lJ0vQ9+Uy+yWsfPlJsnhOHc5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw86RV7Fbhdayc6RaF7kOfRMffwIp/1mZ9SbJP55DGvLAb0DfBNMrSMmvxkZ2jpRc6m9i58hucoBsRt/EsH2OlMOx9RZ2voWdb0XflAMdeVQuO9vGzpFqveF2dr6dne9g5zvY+U70TeyW2y7Mj2TBdrHz3ex8Nzvfw873sPO97HwvO9/Hzvex8/3sfD87P8DOD7Dzg+z8IDs/hL6JYXEAqdanHDb183LkGhwecYTP50fY+VF2fpSdH2Pnx9j5cVM/9zrOzk+w8xPs/CQ7P8nOT7HzU+z8NDs/zc7PsPMz7PwsOz/Lzs+x8/Ps/Dw7v8DOL7Dzi+z8Iju/xM4vsfPL7PwyO7/Czq+w86vs/Co7v8bOr7Hz6+z8Oju/wc6RIVPMQsVusvOb7PyWScdqde5+Bln144ORFW6b+vnjbXZ+h53fYed32flddn6Pnd9j5/fZ+X12/oCdP2DnD9n5Q3b+iJ0/YueP2fljdv6EnT9l50/Z+TN2/oydP2fnz9n5C3b+gp2/ZOcv2fkrdv6Knb9m56/Z+Rt2/oadv2Xnb9n5O3b+jp2/Z+fv2fkHdv6BnX9k5x/Z+Sd2/omdf2bnn9n5F3b+hZ1/Zedf2fk3dv6NnX9n59/Z+Q92/oOd/2TnUew8ip1Hs/Nodh7DzmPYeSw7j2Xnv9j5L3Yex87j2Plvdv6bncez83h2/oed/2HnCew8gZ0nsvNEdv6Xnf9l50nsPImdJ7PzZHaews5T2Pk/dv6PnbtY2jlSOXe1tHOkcu5maedI5dzd0s6RyrmHpZ17Wto5Ujn3srRzpHLubWnnSOXcx9LOkcq5r6WdI5VzP0s7Ryrn/pZ2jlTOAyztHKmcp7K0c6RyHmhp50h1Pk9taedI5TzI0udzpDqfB1v6fI5Uzm2Wdo5Uzu0Wr5+ytPMQSztHKuehlnaOVM7DLO0cqZyHW9o5UjmPsLRzpHIeaWnnSOXcYWnnhqWdI183+OzqZVraOVI/D7a0c6Ry7rS0c6RynsbSzpHKeVrUU65TRirn6SztHKmcp0c91UIWSzvPYGnnSOU8o6WdI5XzTJZ2jlTOM1vaOVI5z2Jp50jlPKulnSOV82yWdo5UzrNb2jlSOc9haedI5TynpZ0jNwxc3L9nLks7RyrnuS1eb2Vp53ks7TyvpZ0jlfN8lnaOVM7zW9o5Ui3zKWDp9YpI5bygpZ0jlfNCll63jVTOC1uklm0jMxy4cSdrEdSzRqn3W5Gl5IKhoqjncIffHmRjdeKx9DoiZL9yHcuUKI56Pr1X7wRSOS9haedI5bykpZ0jlfNSlnaOVM5LW9o5UjkXlnaOVM6JnRM7L8POy7Dzsuwc2fZrzhl9y7Hzcuy8PDuvwM4rsPOK7LwiO6/EzpFNUcXAyhbJ0+gcpF4PhXp6Ne+6EDlr+ZXhjqqWXieOVOtBqqGecjkmUi73yVzd0utNkOp1lxoW4eScvBOZKA9TTUuve0CqstayaI18fQip1mvVtvT5HKnO53UsfT5Hql9T19LrXpCj5LfrWXo9NhKj63uj+qin/AZSreNoYJF6XQh5E0e5fUPUE3vzEamWszdCPdU/RD3lAp3Gll5/g0yD4TGwCeoZL1+oQj1lAZqinpnxC5BqPWEzdt7cIlmuKcgklCGgBfomdm8WMkxtiKXXDSLVOqBWll53hqxuk28QsHOkWkfVBn3zEb6BHNNbvjnEzpFqHVs7S6+DRarh294iOSyPINV6pA6Wfi8BqYZHR4vXOaNvygJ0skgepmtItb68M/omynoHqcrVxdLrL5F63b+l1xsi+8jN6Ya+KZf5I9U/726Rer+pOzvvgb4pNxiJKuIb7Bwp2QztZZGctSUj1fqx3uibS7FjfSwKkv8QuQLDza8v+qYa4Oy8HztHqvXA/dE31S+wSJbfHMDOkXqdNDsfyM4HsfNB7HwwOx/Mzoew8yHsfCg7R8oqlhlmkfzpc0j13ttwS6/PRaphPgJ9U+4YUq+/t0gOtwdI9V7eKPRNDI/nSHXYR6Nvyvd8kGo90xiLZPk/IyvLso616H49OVLY+TiL1x9bej33ePRNbM5fpPo1E9A35YCciL4pv40UqqDom+A6bRI7n8zOJ7PzKex8Cjufys6nsvNp7HwaO5/Ozqez8xnsfAY7n8nOZ7LzWex8Fjufzc5ns/M57HwOO/+Pnf/Hzuey87nsfB47n8fO57Pz+ex8ATtfwM4XsvOF7HwRO1/Ezhez88XsfAk7X8LOl7LzZex8GTtfzs6Xs/MV7HwFO1/Jzley81XsfBU7X83OV7PzNex8DTtfy87XsvN17HwdO1/Pztez8w3sfAM738jON7LzTex8EzvfzM43s/Mt7HwLO9/Kzrey823sfBs7387Ot7PzHZgfSVg72PlOdr6Tne9i57vZ+W52voed72Hne9n5Xna+j53vY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnR9j58fZ+XF2foKdn2DnJ9n5SXZ+ip2fYuen2flpdn6GnZ9h52fZ+Vl2fo6dn2Pn59n5BXZ+gZ1fZOcX2fkldn6JnV9m55fZ+RV2foWdX2XnV9n5NXZ+jZ1fZ+fX2fkNdn6Dnd9k5zfZ+S12foud32bnt9n5HXZ+h53fZed32fk9dn6Pnd9n5/fZ+QN2/oCdP2TnD9n5I3b+iJ0/ZueP2fkTdv6EnT9l58/Y+TN2/pydP2fnL9j5C3b+kp2/ZOev2Pkrdv6anSPrVlk+OvMb1FO+H4nsPnjo+pxvLUpI/fngTqRel8rO37Hz9+z8PTv/wM6RDwv+LFrhIzv/yM4/sfNP7PwzO0fqdfPsHFkmut21Fl/ZObK5fP3mm6Xfa/rGzr9beh3+d3b+wyJnWNcasUj1/vpPdo688Gz/+OFRqGf/jAv/IdV7DtGo51rXY54xFv0t3vvGZOSUOy9e+ceinviYmUj517ZfqOfi7BHzkSfy4j/iLFLvkyIfy9f6f6Oe8kVtpHw9IGO8pdcLIwPlP/hj0dIGK7duR2b7nupE3gR2jixnfn1TOJGdJ7Lzv5Zen/6XnSexc6R+n4CdJ7PzFHaews7/sfN/7NzFqZ0jlXNXp3aOVM7dnNo5Ujl3d2rnSOXcw6mdI5VzT6d27uXUzpHKubdTO0cq5z5O7RypnPs6tXOkcu7n5Pc7nbyO26mdI5XzAKd2jlTOUzm1c6RyHujUzpHKeWqndo7U71k4tXOkch7spE0YxueQyrnNqZ0jlXO7UztHysNfL8RJ6v175ITht/Y2CXWSLURceIbE0XzUKgz1lAcQqd4DCXdSpb4Qg7zv2zl99wjUc/WDgj+R0FCpbyTqiY+JQ/rJF7scTv1eCVK9f2ignvL9chP1lAMWea0FRpqFesoXU5FyuKdyOkkO49lIN/mCRRrUE8NuIVIOJ0da1BPDZDmyiHwBOR3qKV/LRirn6Z3aOVI5z+DUzpHKeUbUU24AUm5+0UxOfs/Lqd/nyOwk+TFnkMp5FtRTbihSsq2WFfWUoJABcsBmc5Lkcw+pnGd3kvr/QyCV8xxOUq/PIJXznE7tHAldYV1zObVz5JyR+ODcTu0cqZzncVIxlDcBqZznderzeT6nPp8jlfP8Tu0cqZwXcGrnSOW8oFM7R6rzeSGndo5Uzgs7tXOkcl7EqZ0jlfOiTu0cqZwXc9KB8Rg4SOW8uJPk4T+MbCk/uIRTO0fKw1CupJO85ABDKuelnCTLcQ2p3s8s7aQS8kUjpNysBsJJDeVARL6Vr7OQU7+HhEzpgA0t46RpyfgPJKrv27msk/BbzK9I9Z5+Oad+rxGp3msq76SnGMbxSP3eoVO/D41U72FURD3lgankJHn4JyJzyA+u7KRDOFzTkfIwpK7i1O+9IVvLA1gV9UQ5FiPlbprVnOSDzV+JlJuVvrqT5K9bj9yFj8law0nyr7cioXV37ppOaiz/A/le/u8wajlJMjuIdJEDorZTv8eDVO/b12HnyEISXl0nyWF3BSmHU416Tv1+Vj12Xp+d12fnDdh5A3bekJ03ZOeN2Hkjdt6YnTdm503YeRN23pSdN2Xnzdh5c3benJ23YOct2HlLdt6Snbdi563YeWt23pqdt2Hnbdh5W3belp23Y+ft2Hl7dt6enXdg5x3YeUcn/Q9itA0g</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="132">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0TEKgDAMAMA+xSf4BFef4OwHBCe3PsEnO2RqxaEgtMPdEggJSUhKAADQWV6X3isUWvf5rD8if18Rpz3ifJb1dX/e2uaP5nXPYP8FAAAAAAAAAAAAAAAAAOB3D75VCu8=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=145.062 Q3=57.800 sample=32 experiment=1 RT=3.80 ce=-45.00 name=glutamine" defaultArrayLength="2265" index="35">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="145.0618" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-45" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="57.8" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="196">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0rEJwlAUhtGs4QhuESwdwSlsBBshIIJdHMHWAewsbKzNCM5gaWXxk0LRIqgI4Zzmg9fc+x6vKAAA6L1qXP57hZ+qJuXr86d7f+sd2nmbabpepaNdOjumgyYdntPrKT3s09s2ndfpZZk2i/JhTrv3u/273uvTd+j7fwIAAAAAAAAAAAAAAAAAoLM7/XIdJg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=145.098 Q3=145.098 sample=32 experiment=1 RT=5.98 ce=-10.00 name=lysine" defaultArrayLength="2265" index="36">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="145.0982" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="145.0982" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="508">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=146.046 Q3=101.600 sample=32 experiment=1 RT=4.11 ce=-30.00 name=Glutamic_acid" defaultArrayLength="2265" index="37">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="146.0459" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="101.6" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt3GVg1EoUBeC6U9rd6iZZ3N2dubi7u7u7uzs83N3d3d3d3R0qlNLSlndm5vbPeZSyTW7mu5kkk1fL+LRvTM1qYszLxW9/RjcXOx61GljL2VEsPR2TuOFsD1H+/hkxal9fcaRKgFuOSQPF3mExu2p3GyqyR5Xol1RqpKCmUzpOmzNW5DTOTrkfMFE0HLHjQNtRU/jzposit7q4Ly88W1RX35jDn7NAZLMV69rXuVQsfNLhzuH9K8WJZd+GBI9eI/JW3+BXMdN6Ef7fhvrLRmwSj2PTu2TKsU1U/57/87MnO0XGGpuL/o3aLa40+tmid+xesW273OADYob7mTbDtx4SBdTXUfGk7TqPL0eOC7rs1612ulPiRmSdJ8bw02L8iutbbmKfbD/tjqV5z4l9TeIOP5l6XjQ896CJ4/0F8Sf3oYQm4pJYslh+XRYlPYYVexx7RURPjvedUeOaGPW41JDGm66LdOXTRC5yuym6v7v+K1PuW+L44hPnKjy9JQJr7ZzXYfJt0dJjVfsJhe6InYdnF1z/5o5w6TXG4/ysu2LStbED+1e5J8IP3nZ54XZfbFqddlqlY/dF0em9QncPeCAuDzyx0pHnoah172TwlU8PxasTgcsKrHkkem9ukXl5s8fCdd62XV6hT8Sk6O3pD9x4IsKfJW1LM/mp2HShWpEpZZ6JoruX4Mg9EyflP9v3XNRK+HLcv+cL8eptscoDsrwUHcuUOJLx9UvxN7RC+ko1Xon6dbOsmrLrldg+09d5zf5aeF39ujRw0GvRyltW7LUoMGLKtAOl3ojph7v5Jqx6Iz7E1ZhUwuOtEPnzeo7s9FYs6mkbd+rKWxH/rs3qBwXfiUbNdp/8tuKdKLkoy5eXPu9FuvvLQ+72fS/GVJMH8L3oOLldi2cVP4iq5x9Purnrg9hSItuG946PYtbglbcejf8ofv6QXx/FvRwdIt80/iQKrtlX5M+ZTyLiZfa2X3N+FoMbDB3tuvCzeOlZRHz1/iIqHohNvjf4i9jWcdexE5+/CHt4j2Gbmn4VcS7uufdf/SrU5pT8JuTomLz9G4+772LWmbiszWd9F7/77vlYweWHaJGh14Y8fX6IU6Plhv4QGV9kKVi4zU+RuoH/v6TbP0Wpgdlju2SNEjFlbna83ylKhFqX34t1UeJs+y2t69+J4rpHifpv1y89lzZa3F14qPPTctGibvWrhWI6RgtVhhnRIs2v7iASLbqoAkSLZZ+rNd/3PVpUObP1jntAjCie4rxZJnuMuJVme/m9FWLEtjITgka0jxGqbONiRIcJhTYFrYkRKeUSv389FSOeSj4vY8TBSVsmjEqJEXM3j61TxYoVe3L3XOtaMlbMrF2x19WmsQI7XWL+kFhR/8TQn2OXxorRPb5ka3U8Vhyu+KJ6qzexIjbNnV6tvH+JXs0fR9TM+UtsKnS9RM06v8SbwNMtaw78JVSbWPpLNDi9aV3NU7/EzCXLLtZ8/0v4PVzbu5RfnPglmeaME2nlx9SME34YTXG94kSN8akgIk7M/lJzapfDceJe7dnnM7yIE31uH5i0xfO32HrzfsNveX4Lxajpb/GsM6SM/y1CO6UpfXbHb1GrQ+lUno9/6/13j9fHMVe8SGq1dOiVRvGiUEt0lLHxeru3xYtNTf98nPUgXqyKc8/31uUP948/wi4PXIM/4tx02Sj+iALndqNCf8S7lv3SdbnyR8xPKBjSPvqP8Mj3dnTviASx/+q6ft1EgnbYOUHM+pj2/vJ5CeJW4phFfU4liHp9fr8u8C1BFI7pmGgLTxTNHnxZ9KpMohhzpGeRHd0ThSzDjcWJIkOm2g+/X0gUB0vVz5UUmyh8YssnG+n+isaqwH+FYj3sr8CHYOD+FdUueZdaev+vePnKf+5mtySRd0FS28t5krSf5kniDrqG79Qk8aru0erFDyaJfD7bzKbvksT5tLv6dg5OFmp4l0gWik37ZM10ZrLYv2HIxWxHkoXU8+R9skj+PeDVsuAUIUfBoDIpwnGqWdoyfVJE1YaNx/mtThFoJq3f30oRy0b8CTjq9k9E/6raZGLRf8Ldd2qadj3/icebr21cveqf6PHx7+boO/+4H7rQ1aaWvWSEC+Wr6zbgeW4Xinv6cEy/ii50qAM6TEsXGobRt3KAC5VGFy00w4Vazne2PrXehZ7/e3Kv3gkXOpw06dfThy7UpxRGVpQLZR0pO48rqT6Y3pWUs+KudD06fnBgXVfCb1uUpasrpf4wJbHIWFdSfXipK0m1Vfe50oC5ER4Nb7iS6tufXGmcX7rESy5uhMHlcjjcjZbkqlh1VW43avDhbu3ZFdxod+1uSwY1d6PLSwGzvxtvpxvZ1h8/Hb7BjSaNzemMPuFGh2jsm4uP3Ohonw7tika7kVWo2Kzlfu6USp7oMrjTLTmsS7jT3FY5E87XdaeGn129mnd1p8Gnr99MHONO8Tmmlp+5xJ0GLqh4ON1ed9L9yp1uJ++sUeq9OwVUqZf9Roo7fargUrVhhAdlmLM288d8HvRvBkBX8yB51kru4EEzFqIBj/agTAPclvgs9aDjdRekm7nfgxrkzb7ZfsuD2uTHf332oJ4FRx8kN08aWnhr6UaGJ0XfRIMp4Em+xoqW2ap50hfZhtp4UvfcOMMO9qQfQd/et5/lSTfLyA7tSXUy9r337pgnyY/bfNeT9svh9cWTFnQ+EJHN1Ysiqo3c/S7ci+JPFo6bl8eL7g/+nDlfZS9S/bC1F+WVA3aoFwXIAz3Xi+RZpf52L1LngwteVFa2uVdedHyQLJAXoVtBpDeNTumcaUkub9qycXjciwrepPpHS29KSVg7v/NAbwrs/4Q2zvAmM7//k9vrvaneq0Ef/hz1JjlZyHrHm9Lh7Frrkzc1Lrbv0sAUb1KOQ3zo4vwZr89l96HVu33LxQsfOoWzRM76PjTSKtqpfBcfPR5H+lDJNyPKtpvrQ/Ks2WAz/h57We2ED8k2SHd9aGMqbMBHH71/iT601B8HLtCXVJ9O70tB8hcX9qVj2Uvh1OJLnZPpWtHWvqT6QT9fwkkHndCXCqsJjy+pvrnTl0Y+SH1u+llfipPsHvhSqj7bpj395EsZF/6bPfKvL/8eP9qbb1nj62n9SJ5FhxTwozLXiqY1K/pRiWprn81u4kfFM1QdNq6XH6l2PN6PcPIeVmyxH911Dzh0bwd//5wfdZlnoIJ+lDCspPfmH36k+60/qT4b7k9BgW+bVcjpT12elsPsyZ/Sxi/BFvjTkHN/x1/o6M/H15+mbN9b8MoMf1LzrtX+pOZB+/3pxIeyd+Zd8ad/6WTn8Sc5nEr+9qfPB3e6fwwIoNkN1zxumzGAJKMrJQMIkzUM3QB9/HsEEA5Kr6gJAaTmpysCSM5ClxwMIN2nAujaj8tny34PoPX9up1c45OKRsq2lTEVqfmoSEV53GrvOdM0FfnIidPAVNrlf6lIHe6dqUidf6+lontLPlgbP6Wir/J05RVIrpJlxkAa4fDbM7h8IC1vhplT20DS89VAeiWnucsCyU1NZAMpw7zbT/c8CKQKcy7VmRsbSL6yEEGpSQ7DzjlTU7G05oWDVVOTnDXbOuPPf6MiB05ITZ9moQBrUtOuhXNL5TmTmsahzZR+nZowu6ibxSWISE4Qg4No46fKuf+lC6JSaqISRJhc3+pSLoiW1MUJqV4QyTYe3S6Ix1cQbU8zOdJ7fBDdzVqkfdi8IMqG2Lc2iAIXe37/tCeIzt7FROtMEA0JrPu8yu0gvV+vggiT9LDHP4KoErrTquQgvf0BwbqvGcGEk+Xk+GzBuj8VDabO6bsPHlohmCIy1/NcWzeYDmwG2JbBNL7+oLrVuwVT+kdXL68YFEyy/ceNC6aZXlFhlWcH09Hnh/bkW4bPwfTC2BRModOrfvHYF0xl29kn/jgZTL2LP0v36GowLQ9GA34YTIcxq7r/JpjkX4/6Hqz7eHwwqfmvq43KYnr20c9Gat5ut+nxZNooD6ZDxzLZSJ13c9uonjx9FrbRiLgXmEnaaPCHP8NKVrLRmhQ02Fo2WvFz44VqjWy0RE7rW9poAdpF1442alto3Pu4HjY9rgfYaG8AYA6zUeGS6LxjbHRETpMn2bgv2Ui27d1zbRSK2d+xxTbtZ6WNvvnNHnZ9vY3I3ubs3a02Old2e5cXu226jx60kZzd/DxuozRbwlISztroch45EbBR//2hf6/esOn+eA/fPxXyZ/ljfL/ivN9eL230c92iBd3e4fsYfY8+26i8HFA/8fMt/ova8stGi48umJ060UblyoTNGvzPRj8uoBF62OnuC0w4fO00+eauHBRo1+PLZtfHLdxOat5o2GniumyYmtnp4+56i2tlsBNO+icLZLGTav857DSifWu/pNx2etFn6sx3+e3c/+xUtvSnx9uK22ldNVvL+aXt9CDf6XFDytrJJwJXNhXtpOa9Ve26r9W0k5rGNLDTw0vyRGyn9TVRqXZ2Kocy9elqp9eYHo3tY6dRXY/1nzvYTtWjWq/YNMqu3U60cx+yU8MCjVu+nGenX3PGZItaaqdkOb1YbSc5y3u5BZ8vp68H7bRsJSaMZ+2Ur/+/bvVu2gnNMv/Qp3Z6FIWJzwc7n+fttDLm/rDwJDupeb1XCMn20SsohH40xR5GhujtzBBCzeQO5wyhYDkwCodQfO39UTdFCGFWf75ylRBqJycydUPIkXNnr+LNQ0jN9zuE0ET71sicvUL4PBxC6eXX2BB6FIqOOy2EZsnLtPkhVCHZWD19RQjJ9uG5KYTkaWnk7hBSp4cjIVQjdma9/udCyOPj9Kzfr4fQETldeBhCvW9MvvPiVQhlOTNxY6MvIfR8//jht2JDSF03JIfofu4VSnnkZXBQKL3fGp/7UGSork+GUKqLYbU5Z6juo4VDSV1OiFAa0PN7o5Aqofp2QN1QCpYDoXkoXewNMR1C9bjoGUrycPQfHKrnG2NCaZWQ/yKUj1MoBWTBf60IJXWdtTGU1DR5dyi1ynY16OKRUFLXXedCSf7p0PVQklfV+R6GkrpceBVKEa5Zm7T5HkqX3gT/tCeG8v6E6fOjPYye4KozR9owwiip+CJnmD5PFgujY562EFExjNR8tm4Yqcu7VmF0YwsuULqHkZqGDgnTfWRCGL2shZnXf2E0O9+gXOlWhrHjMFLTu0Nh1Fde+J8P0/O222Gk+L8IY49htO/76q6v/4XRb1ymjA4KJ3Vdni6cHo7EmSNfuN7uiuH09U1hTM3DaUbW76lO9A6ns/KydWw4Yfa1pfW8cMo9e9WffBvCCRern1IOhtN0l3nbdl0IJ89Lx3HGDadRcsLzPJwSGgY36/Q5nORlYMKvcMLs7uY0lwjqKC/8AyLoZf9D5XaFR1ATOeHJEKHnB7kjSF2+Fo+gC//hhFkhgtQBrhNB8rRgtYigAnKi1TmCtu/yCi3bP4IyD85b696oCD6uEeTwHn/2z4IImntje/LUNRH0vCcu1HZEUKPCGOmHI/R893wEqcvhWxGkrs+eRVBpebn0MYIOGvjJ2AhSl2X/IujJ7Uy+O/0i9fwhLJJWFEPjSBepj3uuSFKn3aKR5I/2OqF8JE1otN47onYkyfaypVmk7vOdIilG3j7pG0ndBqBzjIyk9yVxgT8lUvf1+ZGk2t7qSD3et0Xq65pDkRT29ypmGpGk7h/cjCR5OfTjSSSNq1Nl+egPkZQU0e+hLSaSoHhnr8RIkncNLrk5aAsul9L6O3gcOmjzKMwUDAdhq1Nlz+igjflXThyb06EdFHTQg4AFD4uUcvB1iYPU7aAaDqq/uFa5Mg0dhNk+Zu4OGtsPjb+jg1zlhXYvB43JDNiDHOQiv0Y79HXPZAflfvK79v7ZDtqBtphqsYNyzehbruNqBz2bkcM4u9lBzTphBrjHQU/kjPaIg9S06oxDXx9cddBktM0xdx2kbgs9ddCkjY2u5H/nIK8x88tN++aguEz4DVEO2rcWDT7OQbiqrno+wUEF5G6lOEhfHxr0+nTJOv+8DD0+/A2a9S4mzZ3Uhh4/IYbuexEG5ZA3PiyDHPK2XTqDHt+Ir/c2k0GLqmOGkN0gdf8rt0Hy7oZVwKB7XsV7rEK2wVkgQ0GDfhTChBo5/PqEddkKGeTb4deBbUh1OV3Y0PM05O4c+NEihp5HINVxLmpQk5hpmU4i5WVl2WKG3h+k6+GHzSsXN0jdV0Gq+yIlDH08kWoeX9Ig+XEPkXXkBpYy6MVzfCHVeCttkJyevkOq86kwSF7GfkGuuosdIYNyyx9E4qda9itjUGU5wUPq86ZB7eSEAKlOe+UMPd8tb/C4R53k7bcKBmU+2ThmGnJvw4seqSsapAqDlGUJrWRQM3kBjVTzr8oGyc1bgXSXN0aqGCQ/bh1SXWdXNWjrFnwhi5aNPJ6rmkHqNh5S3Q+pbtArHxQa2UPuSA2D/hbBDyLVvKKmQeq+DlLPswxS9zeQx3Nhh2sbug8gHzXHHtcxSB62+0h5OBrXNWi0PHDIVLIw9Qye9xqUFbvbob5B+7Ebn5By87o1MOgWfu0PZAtZwIYGyR/7hRwkvxoZ5ClvHCDV7ebGBsnTiEsTjMf7KDSyuNyRpgaheh+mIBvIGyLNDHpTADM4pBx+9uYGJWNYLUBOxXCJbGGQupxDrpfTpZYG5cdhW4OUhyNTK0PPV5DqfNTa0OcvpNzdfG0MGovd2IdU9zXaGqTuwyCzywK2M+ggfuw0srz8am/Qnad7Gl5EtpIDtYOh55fIobLQHQ3yljuClMO+YSeD5HB+jNyJYdq8s0Hqfi1SzTO7GNRI7jBS3R/rapC63YVU9x+6GTQdhyMGKcs8oLtBG1G+P8iC8hf3MEjubgqylgTS06Bn2DyPXgap+55I+XF+vQ0ajx+bgQyWX30MknznIXPKgdrXIMltSV923o+d92Pn/dl5f3Y+gJ0PYOcD2flAdj6InQ9i54PZ+WB2PoSdD2HnQ9n5UHY+jJ0PY+fD2Tkynbqxy85HsPOR7HwkOx/Fzkex89HsfDQ7H8POx7Dzsex8LDsfx87Hs/Px7HwCO5/Aziey84nsfBI7n8TOJ7Pzyex8Cjufws6nsvOp7HwaO5/Gzqez8+nsfAY7n8HOZ7Lzmex8Fjufxc5ns/PZ7HwOO5/Dzv9j5/+x87nsfC47n8fO57Hz+ex8PjtfgHoemuEVtYCdL2TnC9n5Ina+mJ0vZudL2PkSdr6UnS9l58vY+TJ2vpydL2fnK9j5Cna+kp2vZOer2DkSs9ZBuVaz89XsfA07X8PO17Lztex8HTtfx87Xs3Nk1WHj8lTfwM43sPONBs+j2fkmQ99HQqrpw2aD5NOf10h1P2+Loa+fkTK6bkU95YMG5Jf5e3Cli3rmwkhHesod2I56NscPIPVzDYPw6Z1ddhr6vhMSs/QZXrsM0s+ZUM/P+KDdqKecuCPVfGkP6rnrNf4G9axcOylir0HrXp4IXIbML3/hPtRTPc9CPeXjwf2YD8jHcPvZ+QF2foCdH2TnB9n5IXaOPNgWM6LDqKd8fIK8PQc7cMTg6wvU81SxDFWPGiRv+15HekeFVa59DPWcNKHp3WPs/LhB8innY2TJmviEE+ibuFx4iVT3m06ib4bgCgIpy935lEH6eQ36JsrT6zT6ppwmIuXuDDiDvqlu2KNv4tcPO2uQ/NgUpHoecg59Uz1ARN9c+HzuJKQ82n4X0DdlgZFylhZ0EfMm+QPIwxj+YZfQN+WNYeTdY2+xReib8kAgf3zFjl4xSA0bpJ7noZ7yMCPl4ctzDfWUhwWp7oNfN/i6y9D3UW6gb8rdRsrdKXPTILWZSHV/5xb6pvxYpLqOu42+KQOpn5sZVFsOAOSLubLA6JtyB5Dq+uYe+iaq/hapnt/cR9/EcP2MlMOw+wN2jqysPsggjNocv5Ht5MT3EfomDl8SUj2Wfoy+KQvyBH0TZZyAVPfNnxr6Pg5SDbxn6JvYzDnIZrJwz9E3u8oNQ9+UE+8Xhp5/I9X130tDXy8i1f26V+ibcgdesfPXBqnhj1TPMd6gb8qBgpSjothb9E05vJDq+vYd+qYcDkj1PPw9+qY8fO/Z+QeDVLmRHeQv/MjOkfo5Bzv/xM4/s/PP7PwLO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/yc5/svModh7FzqPZeTQ7j2HnMew8lp3HsvNf7PwXO49j58hO6sBifiTbDFJd98ejb8q2gJRR5I9BivEfdp7AzhPYeSI7T2Tnf9n5X3aexM6T2HkyO09m5ynsPIWd/2Pn/9i5i6mdI5VzV1M7RyrnbqZ2jlTO3U3tHKmce5jauaepnSOVcy9TO0cq596mdo5Uzn1M7RypnPua2jlSOfcztXOkcu5vaudI5TzA1M6RynkqUztHKueBpnaOVM5Tm9o5UjkPMrVzpHIebGrnSOXcZmrnSOXcbmrnSOU8xNTOkcp5qKmdI5XzMFM7Ryrn4aZ2jlTOI0ztHKmcR5raucPUzpGqPIapnSPVwDNN7RypnFumdo5UP+40tXOkcp7G1M6RynlaUztHKufpTO0cqZ9Xmto5UjnPYGrnSOU8o6mdI/W6F1M7RyrnmU3tHKmcZzG1c6RyntXUzpHKeTZTO0cq59lN7RypnOcwtXOkcp7T1M6RynkuUztHKue5Te08j6mdI9UwzGtq50jlPJ+pnSPVYc5vaudI5byAqZ0jlfOCpnaOVLtdyNTOkcp5YVM7R6qPLWJq50gVRU3tHKmcFzO1c6RyXtzUz3uQynkJUztHKuclTe0cqZyXMrVzpHJe2tTOkfr5kamdI5VzYufEzsuw8zLsvCw7L8vOy7Hzcuy8PDuvwM4rsPOKJr1eKZpOqcjOK7HzSuy8MjtHrpvf+UBEFZPy5Xp4aSny5LkKT51V2XlVdl6NnVdj59XZeXV2XoOd12DnNdl5TXZei53XYue12Xltdl6Hnddh53XZeV12Xo+d12Pn9dl5fXbegJ03YOcN2XlDdt4I9Tz181o0Ut03box64o/xyJryQWYTdt6UnSN/y+VJzdg5Ut+HZudIdV+pBTtHVnzq3BLW0tT3Z5Gt/ZJumK3QN1d3fb0SKVd/pW9tks/tSl4bkOp5dxvUU65KQ6rndW1RTzng2rLzdqgnNvdQO3benp23Z+cd2HkHdt6RnXdk551QT0d9n9ud2Hlnk55XwZHuzM67sPMu7Lwr6rnp68C3SHVfrRs778bOu6OeXqhkd3bew+TnWOibKOfgnibfnzdJ7v6oXuy8NztH7jmDDepj6vu/SLX+oq+p7/cjP8nH6v3QNw+V27UQKfk5+pv6eTvSkjeiB6BvhqUkrEUW2dE9IMtA9E0M2y3IunIHB5n6PjSyh3wQMJidD2bnQ9j5EHY+1NTnc6Ra9zEM9ZQgkOq50XCT5G7dQMbI5SIj2DlSPWcYaerne0j5x5ajTH1fHqnWI4xG3zSx4cjm8i/GmPzcAn3z7ZULvceapJYHIv+z4QCMM/XzOqRatzXeJDl8XCaY+jkIsr4cSBPZObKXLMQk9E2UfRZSPReejL4pFzhMZudT2PkUdj4VfVNuEFKtb5qGvol/tgmp1mFNR9+U65CQ8rFuvhnom3KdGTKb/IuZJmEUjzmCVM8jZqGeGN6nkHLYlpuNvjkQO4hUz4XnmCSHzzXkvFIY6P+hb8oFbUh5GBvONfXzVqRaNzPP5Oc5JskytZ2PvikHHFKt21hgktzcr8hIuUEL2flCdr6InS9i54tNkkxTkF3khi9h50vRN9/H1Zi0lJ0vQ9+Uy+yWsfPlJsnhOHc5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw86RV7Fbhdayc6RaF7kOfRMffwIp/1mZ9SbJP55DGvLAb0DfBNMrSMmvxkZ2jpRc6m9i58hucoBsRt/EsH2OlMOx9RZ2voWdb0XflAMdeVQuO9vGzpFqveF2dr6dne9g5zvY+U70TeyW2y7Mj2TBdrHz3ex8Nzvfw873sPO97HwvO9/Hzvex8/3sfD87P8DOD7Dzg+z8IDs/hL6JYXEAqdanHDb183LkGhwecYTP50fY+VF2fpSdH2Pnx9j5cVM/9zrOzk+w8xPs/CQ7P8nOT7HzU+z8NDs/zc7PsPMz7PwsOz/Lzs+x8/Ps/Dw7v8DOL7Dzi+z8Iju/xM4vsfPL7PwyO7/Czq+w86vs/Co7v8bOr7Hz6+z8Oju/wc6RIVPMQsVusvOb7PyWScdqde5+Bln144ORFW6b+vnjbXZ+h53fYed32flddn6Pnd9j5/fZ+X12/oCdP2DnD9n5Q3b+iJ0/YueP2fljdv6EnT9l50/Z+TN2/oydP2fnz9n5C3b+gp2/ZOcv2fkrdv6Knb9m56/Z+Rt2/oadv2Xnb9n5O3b+jp2/Z+fv2fkHdv6BnX9k5x/Z+Sd2/omdf2bnn9n5F3b+hZ1/Zedf2fk3dv6NnX9n59/Z+Q92/oOd/2TnUew8ip1Hs/Nodh7DzmPYeSw7j2Xnv9j5L3Yex87j2Plvdv6bncez83h2/oed/2HnCew8gZ0nsvNEdv6Xnf9l50nsPImdJ7PzZHaews5T2Pk/dv6PnbtY2jlSOXe1tHOkcu5maedI5dzd0s6RyrmHpZ17Wto5Ujn3srRzpHLubWnnSOXcx9LOkcq5r6WdI5VzP0s7Ryrn/pZ2jlTOAyztHKmcp7K0c6RyHmhp50h1Pk9taedI5TzI0udzpDqfB1v6fI5Uzm2Wdo5Uzu0Wr5+ytPMQSztHKuehlnaOVM7DLO0cqZyHW9o5UjmPsLRzpHIeaWnnSOXcYWnnhqWdI183+OzqZVraOVI/D7a0c6Ry7rS0c6RynsbSzpHKeVrUU65TRirn6SztHKmcp0c91UIWSzvPYGnnSOU8o6WdI5XzTJZ2jlTOM1vaOVI5z2Jp50jlPKulnSOV82yWdo5UzrNb2jlSOc9haedI5TynpZ0jNwxc3L9nLks7RyrnuS1eb2Vp53ks7TyvpZ0jlfN8lnaOVM7zW9o5Ui3zKWDp9YpI5bygpZ0jlfNCll63jVTOC1uklm0jMxy4cSdrEdSzRqn3W5Gl5IKhoqjncIffHmRjdeKx9DoiZL9yHcuUKI56Pr1X7wRSOS9haedI5bykpZ0jlfNSlnaOVM5LW9o5UjkXlnaOVM6JnRM7L8POy7Dzsuwc2fZrzhl9y7Hzcuy8PDuvwM4rsPOK7LwiO6/EzpFNUcXAyhbJ0+gcpF4PhXp6Ne+6EDlr+ZXhjqqWXieOVOtBqqGecjkmUi73yVzd0utNkOp1lxoW4eScvBOZKA9TTUuve0CqstayaI18fQip1mvVtvT5HKnO53UsfT5Hql9T19LrXpCj5LfrWXo9NhKj63uj+qin/AZSreNoYJF6XQh5E0e5fUPUE3vzEamWszdCPdU/RD3lAp3Gll5/g0yD4TGwCeoZL1+oQj1lAZqinpnxC5BqPWEzdt7cIlmuKcgklCGgBfomdm8WMkxtiKXXDSLVOqBWll53hqxuk28QsHOkWkfVBn3zEb6BHNNbvjnEzpFqHVs7S6+DRarh294iOSyPINV6pA6Wfi8BqYZHR4vXOaNvygJ0skgepmtItb68M/omynoHqcrVxdLrL5F63b+l1xsi+8jN6Ya+KZf5I9U/726Rer+pOzvvgb4pNxiJKuIb7Bwp2QztZZGctSUj1fqx3uibS7FjfSwKkv8QuQLDza8v+qYa4Oy8HztHqvXA/dE31S+wSJbfHMDOkXqdNDsfyM4HsfNB7HwwOx/Mzoew8yHsfCg7R8oqlhlmkfzpc0j13ttwS6/PRaphPgJ9U+4YUq+/t0gOtwdI9V7eKPRNDI/nSHXYR6Nvyvd8kGo90xiLZPk/IyvLso616H49OVLY+TiL1x9bej33ePRNbM5fpPo1E9A35YCciL4pv40UqqDom+A6bRI7n8zOJ7PzKex8Cjufys6nsvNp7HwaO5/Ozqez8xnsfAY7n8nOZ7LzWex8Fjufzc5ns/M57HwOO/+Pnf/Hzuey87nsfB47n8fO57Pz+ex8ATtfwM4XsvOF7HwRO1/Ezhez88XsfAk7X8LOl7LzZex8GTtfzs6Xs/MV7HwFO1/Jzley81XsfBU7X83OV7PzNex8DTtfy87XsvN17HwdO1/Pztez8w3sfAM738jON7LzTex8EzvfzM43s/Mt7HwLO9/Kzrey823sfBs7387Ot7PzHZgfSVg72PlOdr6Tne9i57vZ+W52voed72Hne9n5Xna+j53vY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnR9j58fZ+XF2foKdn2DnJ9n5SXZ+ip2fYuen2flpdn6GnZ9h52fZ+Vl2fo6dn2Pn59n5BXZ+gZ1fZOcX2fkldn6JnV9m55fZ+RV2foWdX2XnV9n5NXZ+jZ1fZ+fX2fkNdn6Dnd9k5zfZ+S12foud32bnt9n5HXZ+h53fZed32fk9dn6Pnd9n5/fZ+QN2/oCdP2TnD9n5I3b+iJ0/ZueP2fkTdv6EnT9l58/Y+TN2/pydP2fnL9j5C3b+kp2/ZOev2Pkrdv6anSPrVlk+OvMb1FO+H4nsPnjo+pxvLUpI/fngTqRel8rO37Hz9+z8PTv/wM6RDwv+LFrhIzv/yM4/sfNP7PwzO0fqdfPsHFkmut21Fl/ZObK5fP3mm6Xfa/rGzr9beh3+d3b+wyJnWNcasUj1/vpPdo688Gz/+OFRqGf/jAv/IdV7DtGo51rXY54xFv0t3vvGZOSUOy9e+ceinviYmUj517ZfqOfi7BHzkSfy4j/iLFLvkyIfy9f6f6Oe8kVtpHw9IGO8pdcLIwPlP/hj0dIGK7duR2b7nupE3gR2jixnfn1TOJGdJ7Lzv5Zen/6XnSexc6R+n4CdJ7PzFHaews7/sfN/7NzFqZ0jlXNXp3aOVM7dnNo5Ujl3d2rnSOXcw6mdI5VzT6d27uXUzpHKubdTO0cq5z5O7RypnPs6tXOkcu7n5Pc7nbyO26mdI5XzAKd2jlTOUzm1c6RyHujUzpHKeWqndo7U71k4tXOkch7spE0YxueQyrnNqZ0jlXO7UztHysNfL8RJ6v175ITht/Y2CXWSLURceIbE0XzUKgz1lAcQqd4DCXdSpb4Qg7zv2zl99wjUc/WDgj+R0FCpbyTqiY+JQ/rJF7scTv1eCVK9f2ignvL9chP1lAMWea0FRpqFesoXU5FyuKdyOkkO49lIN/mCRRrUE8NuIVIOJ0da1BPDZDmyiHwBOR3qKV/LRirn6Z3aOVI5z+DUzpHKeUbUU24AUm5+0UxOfs/Lqd/nyOwk+TFnkMp5FtRTbihSsq2WFfWUoJABcsBmc5Lkcw+pnGd3kvr/QyCV8xxOUq/PIJXznE7tHAldYV1zObVz5JyR+ODcTu0cqZzncVIxlDcBqZznderzeT6nPp8jlfP8Tu0cqZwXcGrnSOW8oFM7R6rzeSGndo5Uzgs7tXOkcl7EqZ0jlfOiTu0cqZwXc9KB8Rg4SOW8uJPk4T+MbCk/uIRTO0fKw1CupJO85ABDKuelnCTLcQ2p3s8s7aQS8kUjpNysBsJJDeVARL6Vr7OQU7+HhEzpgA0t46RpyfgPJKrv27msk/BbzK9I9Z5+Oad+rxGp3msq76SnGMbxSP3eoVO/D41U72FURD3lgankJHn4JyJzyA+u7KRDOFzTkfIwpK7i1O+9IVvLA1gV9UQ5FiPlbprVnOSDzV+JlJuVvrqT5K9bj9yFj8law0nyr7cioXV37ppOaiz/A/le/u8wajlJMjuIdJEDorZTv8eDVO/b12HnyEISXl0nyWF3BSmHU416Tv1+Vj12Xp+d12fnDdh5A3bekJ03ZOeN2Hkjdt6YnTdm503YeRN23pSdN2Xnzdh5c3benJ23YOct2HlLdt6Snbdi563YeWt23pqdt2Hnbdh5W3belp23Y+ft2Hl7dt6enXdg5x3YeUcn/Q9itA0g</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="216">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0jEOgjAUBmAO4mE6eAAHZsLg4m5MTBw4At7AzcTjeQKH+kyooJi4GL9v+dP20dIHVQUAAD8u1enlerdMs+rK+k/XY/+uGWZaj8+X+70799vivHafc3HMuTvnvF5yHk737HOutjnjXpHtZjwf94t+1MP5GEf903s243VTfSy/81R/p8bl83P/GwAAAAAAAAAAAAAAAACAP3YDfEUtPw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=148.044 Q3=148.044 sample=32 experiment=1 RT=2.89 ce=-10.00 name=Methionine" defaultArrayLength="2265" index="38">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="148.0437" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="148.0437" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="480">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0TlLA0EYgOEggoIiAUGjlbVgJ6iFEuNf8Aek9ECxsU+pqSSbGOzFMx6JGhXxSIyYNminSAwhWih4FYIgwnzfFhPEyvJ9mpfd2Z2dmfV4AADAv5hI+k2b96S3W9J40r5uTUnbtqX9aemkXg9pe46khUvTYLho+hJ8N/Vef5kWx79Np6Kvph3T8txZtmAaCmRknnudz3sg9em6HnW9J7v2emI7UkfHR7QD2qy+/5T8/b35lP29iI73HdrrmcvLeluuTP3nJdlv/kPut9cOmvs3jab1s02mn2N1pqG7N9lnSfdbk7H3U1mSlhe0cWk0KvU7eg4x3d+irmtF+pC2z8H9n8/6n4oJqft/y6tS93y6N6UzOh7esOureq6yrPOuV10n7Ocjuq/eNX1f5wvo+Kju3z3vLj2X05xpaFjrXMj9zpz9XMOxfn9fCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAB/+AFd85Bn</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=149.046 Q3=59.100 sample=32 experiment=1 RT=2.13 ce=-30.00 name=ribose" defaultArrayLength="2265" index="39">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="149.0455" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="59.1" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="208">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0jEOgzAMAECe0qekT2BkY2Ho3KFDlz61T+lAghRTC1R1vFus2E5CQoYBgN9dyxrH0o9jPRsf5bO+rH9M8iddlrB+iPOtdPuU6Xt+dx8h3+bt6k1cp8b3HOaH9Vq9naM8at99ja9nqE/9OP3u5D42R/8l9jXZu6naeQ7fzcl3td0bAAAAAAAAAAAAAAAAAAAA/NcHikcmOQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=149.046 Q3=58.800 sample=32 experiment=1 RT=2.70 ce=-30.00 name=arabinose" defaultArrayLength="2265" index="40">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="149.0455" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="58.8" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="212">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0jEOwiAUAFCOxuIR3FlcnJpOjh7FI3hEE9tPApHaRBfNe8tP4QOfT1MCgD9xO+dnvB6WmKbcjKeyxHJqY8zXvE+VvP29ijprvV/ybr/+3FEd8Z2P2/NVeZ3f7xN9r33p+hP58R6xrn/fvfXt7W9fX63z0p5/n9fxqZ2Pe0RerB/dv9Y1+D8AAAAAAAAAAAAAAAAAAAB+yAOzFzXi</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=151.026 Q3=108.000 sample=32 experiment=1 RT=1.88 ce=-30.00 name=xanthine" defaultArrayLength="2265" index="41">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="151.0261" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="108" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="432">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0a9LA2EYwPEXLAbDMCwIwporFi0Gw0wuGBa0rQgOFgQdMhGZeJs/mGI4EINYFkWxLYmIDBTjosH/QME/QfF9nufgPa4b/H7Kl3vv3h935xwA/IGoXvLtbUjjHWmuKR1uh7Xn3Ho4XtnNXsfu23rp+XGjlH2ORthkXjVVXcfVdL+91Hg1e99oNbXOSjhu57H7dp3MW5JWtvT9WuFz9j26bWm9I/28kBbvpKMD6fSbb+H9y7c4NbLw2+WXcd/52oRv+WTSd+0y7+tmc76F9res0/nwjW5lvaeroVwPnuV+XvebuZcu9sPzPN5IN3vSlp53TBt3pQ/n+p6n0vKBfoczXe9Q3+8oHLfOxdLrKHz+9TicZ//T/p9953hfr5vhePLfAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAD4n34AuwRoMg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=154.062 Q3=93.000 sample=32 experiment=1 RT=6.30 ce=-30.00 name=Histidine" defaultArrayLength="2265" index="42">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="154.0622" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="93" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="416">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztz7tRw0AURuEtwSWoBIWECgkdEqoEh4QbwfCyBQwvA0bAwACRQkKHhCpBJbgEZtizgWgAgvMl/9zde69WIUiSJEmSJOnPdO/VT25/pOxeU25eUm6R9XPKT3KzSjlrU5ZPzD+mnNI3XY3PS3JgbjfP36X8on5jX0NOmOsf6GfvTjt+T3Wfsr1NWVCHJf9BX8P9cMX7rnkv/bMb9pGRvsiePvdzXlLHC+bInizpa6nr3HfJPVmQwxnz1BPqcE7dMJfPqXvqgbqgP875Lvdrzivqgv6Kvg31ekF9mrLjPCzGe5v8vUO+f8D/zsfvrZkb2Fcc08fcmv7Ifcxz++TR+P/iHu854Zz7ir31r3fk783yPOeBviq/gz0tewPnkiRJkiRJkiRJkiRJkiRJkiRJ+re+AZvWg54=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=157.037 Q3=96.900 sample=32 experiment=1 RT=2.45 ce=-30.00 name=allantoin" defaultArrayLength="2265" index="43">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="157.0367" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="96.9" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt3GVg1EoUBeC6U9rd6iZZ3N2dubi7u7u7uzs83N3d3d3d3R0qlNLSlndm5vbPeZSyTW7mu5kkk1fL+LRvTM1qYszLxW9/RjcXOx61GljL2VEsPR2TuOFsD1H+/hkxal9fcaRKgFuOSQPF3mExu2p3GyqyR5Xol1RqpKCmUzpOmzNW5DTOTrkfMFE0HLHjQNtRU/jzposit7q4Ly88W1RX35jDn7NAZLMV69rXuVQsfNLhzuH9K8WJZd+GBI9eI/JW3+BXMdN6Ef7fhvrLRmwSj2PTu2TKsU1U/57/87MnO0XGGpuL/o3aLa40+tmid+xesW273OADYob7mTbDtx4SBdTXUfGk7TqPL0eOC7rs1612ulPiRmSdJ8bw02L8iutbbmKfbD/tjqV5z4l9TeIOP5l6XjQ896CJ4/0F8Sf3oYQm4pJYslh+XRYlPYYVexx7RURPjvedUeOaGPW41JDGm66LdOXTRC5yuym6v7v+K1PuW+L44hPnKjy9JQJr7ZzXYfJt0dJjVfsJhe6InYdnF1z/5o5w6TXG4/ysu2LStbED+1e5J8IP3nZ54XZfbFqddlqlY/dF0em9QncPeCAuDzyx0pHnoah172TwlU8PxasTgcsKrHkkem9ukXl5s8fCdd62XV6hT8Sk6O3pD9x4IsKfJW1LM/mp2HShWpEpZZ6JoruX4Mg9EyflP9v3XNRK+HLcv+cL8eptscoDsrwUHcuUOJLx9UvxN7RC+ko1Xon6dbOsmrLrldg+09d5zf5aeF39ujRw0GvRyltW7LUoMGLKtAOl3ojph7v5Jqx6Iz7E1ZhUwuOtEPnzeo7s9FYs6mkbd+rKWxH/rs3qBwXfiUbNdp/8tuKdKLkoy5eXPu9FuvvLQ+72fS/GVJMH8L3oOLldi2cVP4iq5x9Purnrg9hSItuG946PYtbglbcejf8ofv6QXx/FvRwdIt80/iQKrtlX5M+ZTyLiZfa2X3N+FoMbDB3tuvCzeOlZRHz1/iIqHohNvjf4i9jWcdexE5+/CHt4j2Gbmn4VcS7uufdf/SrU5pT8JuTomLz9G4+772LWmbiszWd9F7/77vlYweWHaJGh14Y8fX6IU6Plhv4QGV9kKVi4zU+RuoH/v6TbP0Wpgdlju2SNEjFlbna83ylKhFqX34t1UeJs+y2t69+J4rpHifpv1y89lzZa3F14qPPTctGibvWrhWI6RgtVhhnRIs2v7iASLbqoAkSLZZ+rNd/3PVpUObP1jntAjCie4rxZJnuMuJVme/m9FWLEtjITgka0jxGqbONiRIcJhTYFrYkRKeUSv389FSOeSj4vY8TBSVsmjEqJEXM3j61TxYoVe3L3XOtaMlbMrF2x19WmsQI7XWL+kFhR/8TQn2OXxorRPb5ka3U8Vhyu+KJ6qzexIjbNnV6tvH+JXs0fR9TM+UtsKnS9RM06v8SbwNMtaw78JVSbWPpLNDi9aV3NU7/EzCXLLtZ8/0v4PVzbu5RfnPglmeaME2nlx9SME34YTXG94kSN8akgIk7M/lJzapfDceJe7dnnM7yIE31uH5i0xfO32HrzfsNveX4Lxajpb/GsM6SM/y1CO6UpfXbHb1GrQ+lUno9/6/13j9fHMVe8SGq1dOiVRvGiUEt0lLHxeru3xYtNTf98nPUgXqyKc8/31uUP948/wi4PXIM/4tx02Sj+iALndqNCf8S7lv3SdbnyR8xPKBjSPvqP8Mj3dnTviASx/+q6ft1EgnbYOUHM+pj2/vJ5CeJW4phFfU4liHp9fr8u8C1BFI7pmGgLTxTNHnxZ9KpMohhzpGeRHd0ThSzDjcWJIkOm2g+/X0gUB0vVz5UUmyh8YssnG+n+isaqwH+FYj3sr8CHYOD+FdUueZdaev+vePnKf+5mtySRd0FS28t5krSf5kniDrqG79Qk8aru0erFDyaJfD7bzKbvksT5tLv6dg5OFmp4l0gWik37ZM10ZrLYv2HIxWxHkoXU8+R9skj+PeDVsuAUIUfBoDIpwnGqWdoyfVJE1YaNx/mtThFoJq3f30oRy0b8CTjq9k9E/6raZGLRf8Ldd2qadj3/icebr21cveqf6PHx7+boO/+4H7rQ1aaWvWSEC+Wr6zbgeW4Xinv6cEy/ii50qAM6TEsXGobRt3KAC5VGFy00w4Vazne2PrXehZ7/e3Kv3gkXOpw06dfThy7UpxRGVpQLZR0pO48rqT6Y3pWUs+KudD06fnBgXVfCb1uUpasrpf4wJbHIWFdSfXipK0m1Vfe50oC5ER4Nb7iS6tufXGmcX7rESy5uhMHlcjjcjZbkqlh1VW43avDhbu3ZFdxod+1uSwY1d6PLSwGzvxtvpxvZ1h8/Hb7BjSaNzemMPuFGh2jsm4uP3Ohonw7tika7kVWo2Kzlfu6USp7oMrjTLTmsS7jT3FY5E87XdaeGn129mnd1p8Gnr99MHONO8Tmmlp+5xJ0GLqh4ON1ed9L9yp1uJ++sUeq9OwVUqZf9Roo7fargUrVhhAdlmLM288d8HvRvBkBX8yB51kru4EEzFqIBj/agTAPclvgs9aDjdRekm7nfgxrkzb7ZfsuD2uTHf332oJ4FRx8kN08aWnhr6UaGJ0XfRIMp4Em+xoqW2ap50hfZhtp4UvfcOMMO9qQfQd/et5/lSTfLyA7tSXUy9r337pgnyY/bfNeT9svh9cWTFnQ+EJHN1Ysiqo3c/S7ci+JPFo6bl8eL7g/+nDlfZS9S/bC1F+WVA3aoFwXIAz3Xi+RZpf52L1LngwteVFa2uVdedHyQLJAXoVtBpDeNTumcaUkub9qycXjciwrepPpHS29KSVg7v/NAbwrs/4Q2zvAmM7//k9vrvaneq0Ef/hz1JjlZyHrHm9Lh7Frrkzc1Lrbv0sAUb1KOQ3zo4vwZr89l96HVu33LxQsfOoWzRM76PjTSKtqpfBcfPR5H+lDJNyPKtpvrQ/Ks2WAz/h57We2ED8k2SHd9aGMqbMBHH71/iT601B8HLtCXVJ9O70tB8hcX9qVj2Uvh1OJLnZPpWtHWvqT6QT9fwkkHndCXCqsJjy+pvrnTl0Y+SH1u+llfipPsHvhSqj7bpj395EsZF/6bPfKvL/8eP9qbb1nj62n9SJ5FhxTwozLXiqY1K/pRiWprn81u4kfFM1QdNq6XH6l2PN6PcPIeVmyxH911Dzh0bwd//5wfdZlnoIJ+lDCspPfmH36k+60/qT4b7k9BgW+bVcjpT12elsPsyZ/Sxi/BFvjTkHN/x1/o6M/H15+mbN9b8MoMf1LzrtX+pOZB+/3pxIeyd+Zd8ad/6WTn8Sc5nEr+9qfPB3e6fwwIoNkN1zxumzGAJKMrJQMIkzUM3QB9/HsEEA5Kr6gJAaTmpysCSM5ClxwMIN2nAujaj8tny34PoPX9up1c45OKRsq2lTEVqfmoSEV53GrvOdM0FfnIidPAVNrlf6lIHe6dqUidf6+lontLPlgbP6Wir/J05RVIrpJlxkAa4fDbM7h8IC1vhplT20DS89VAeiWnucsCyU1NZAMpw7zbT/c8CKQKcy7VmRsbSL6yEEGpSQ7DzjlTU7G05oWDVVOTnDXbOuPPf6MiB05ITZ9moQBrUtOuhXNL5TmTmsahzZR+nZowu6ibxSWISE4Qg4No46fKuf+lC6JSaqISRJhc3+pSLoiW1MUJqV4QyTYe3S6Ix1cQbU8zOdJ7fBDdzVqkfdi8IMqG2Lc2iAIXe37/tCeIzt7FROtMEA0JrPu8yu0gvV+vggiT9LDHP4KoErrTquQgvf0BwbqvGcGEk+Xk+GzBuj8VDabO6bsPHlohmCIy1/NcWzeYDmwG2JbBNL7+oLrVuwVT+kdXL68YFEyy/ceNC6aZXlFhlWcH09Hnh/bkW4bPwfTC2BRModOrfvHYF0xl29kn/jgZTL2LP0v36GowLQ9GA34YTIcxq7r/JpjkX4/6Hqz7eHwwqfmvq43KYnr20c9Gat5ut+nxZNooD6ZDxzLZSJ13c9uonjx9FrbRiLgXmEnaaPCHP8NKVrLRmhQ02Fo2WvFz44VqjWy0RE7rW9poAdpF1442alto3Pu4HjY9rgfYaG8AYA6zUeGS6LxjbHRETpMn2bgv2Ui27d1zbRSK2d+xxTbtZ6WNvvnNHnZ9vY3I3ubs3a02Old2e5cXu226jx60kZzd/DxuozRbwlISztroch45EbBR//2hf6/esOn+eA/fPxXyZ/ljfL/ivN9eL230c92iBd3e4fsYfY8+26i8HFA/8fMt/ova8stGi48umJ060UblyoTNGvzPRj8uoBF62OnuC0w4fO00+eauHBRo1+PLZtfHLdxOat5o2GniumyYmtnp4+56i2tlsBNO+icLZLGTav857DSifWu/pNx2etFn6sx3+e3c/+xUtvSnx9uK22ldNVvL+aXt9CDf6XFDytrJJwJXNhXtpOa9Ve26r9W0k5rGNLDTw0vyRGyn9TVRqXZ2Kocy9elqp9eYHo3tY6dRXY/1nzvYTtWjWq/YNMqu3U60cx+yU8MCjVu+nGenX3PGZItaaqdkOb1YbSc5y3u5BZ8vp68H7bRsJSaMZ+2Ur/+/bvVu2gnNMv/Qp3Z6FIWJzwc7n+fttDLm/rDwJDupeb1XCMn20SsohH40xR5GhujtzBBCzeQO5wyhYDkwCodQfO39UTdFCGFWf75ylRBqJycydUPIkXNnr+LNQ0jN9zuE0ET71sicvUL4PBxC6eXX2BB6FIqOOy2EZsnLtPkhVCHZWD19RQjJ9uG5KYTkaWnk7hBSp4cjIVQjdma9/udCyOPj9Kzfr4fQETldeBhCvW9MvvPiVQhlOTNxY6MvIfR8//jht2JDSF03JIfofu4VSnnkZXBQKL3fGp/7UGSork+GUKqLYbU5Z6juo4VDSV1OiFAa0PN7o5Aqofp2QN1QCpYDoXkoXewNMR1C9bjoGUrycPQfHKrnG2NCaZWQ/yKUj1MoBWTBf60IJXWdtTGU1DR5dyi1ynY16OKRUFLXXedCSf7p0PVQklfV+R6GkrpceBVKEa5Zm7T5HkqX3gT/tCeG8v6E6fOjPYye4KozR9owwiip+CJnmD5PFgujY562EFExjNR8tm4Yqcu7VmF0YwsuULqHkZqGDgnTfWRCGL2shZnXf2E0O9+gXOlWhrHjMFLTu0Nh1Fde+J8P0/O222Gk+L8IY49htO/76q6v/4XRb1ymjA4KJ3Vdni6cHo7EmSNfuN7uiuH09U1hTM3DaUbW76lO9A6ns/KydWw4Yfa1pfW8cMo9e9WffBvCCRern1IOhtN0l3nbdl0IJ89Lx3HGDadRcsLzPJwSGgY36/Q5nORlYMKvcMLs7uY0lwjqKC/8AyLoZf9D5XaFR1ATOeHJEKHnB7kjSF2+Fo+gC//hhFkhgtQBrhNB8rRgtYigAnKi1TmCtu/yCi3bP4IyD85b696oCD6uEeTwHn/2z4IImntje/LUNRH0vCcu1HZEUKPCGOmHI/R893wEqcvhWxGkrs+eRVBpebn0MYIOGvjJ2AhSl2X/IujJ7Uy+O/0i9fwhLJJWFEPjSBepj3uuSFKn3aKR5I/2OqF8JE1otN47onYkyfaypVmk7vOdIilG3j7pG0ndBqBzjIyk9yVxgT8lUvf1+ZGk2t7qSD3et0Xq65pDkRT29ypmGpGk7h/cjCR5OfTjSSSNq1Nl+egPkZQU0e+hLSaSoHhnr8RIkncNLrk5aAsul9L6O3gcOmjzKMwUDAdhq1Nlz+igjflXThyb06EdFHTQg4AFD4uUcvB1iYPU7aAaDqq/uFa5Mg0dhNk+Zu4OGtsPjb+jg1zlhXYvB43JDNiDHOQiv0Y79HXPZAflfvK79v7ZDtqBtphqsYNyzehbruNqBz2bkcM4u9lBzTphBrjHQU/kjPaIg9S06oxDXx9cddBktM0xdx2kbgs9ddCkjY2u5H/nIK8x88tN++aguEz4DVEO2rcWDT7OQbiqrno+wUEF5G6lOEhfHxr0+nTJOv+8DD0+/A2a9S4mzZ3Uhh4/IYbuexEG5ZA3PiyDHPK2XTqDHt+Ir/c2k0GLqmOGkN0gdf8rt0Hy7oZVwKB7XsV7rEK2wVkgQ0GDfhTChBo5/PqEddkKGeTb4deBbUh1OV3Y0PM05O4c+NEihp5HINVxLmpQk5hpmU4i5WVl2WKG3h+k6+GHzSsXN0jdV0Gq+yIlDH08kWoeX9Ig+XEPkXXkBpYy6MVzfCHVeCttkJyevkOq86kwSF7GfkGuuosdIYNyyx9E4qda9itjUGU5wUPq86ZB7eSEAKlOe+UMPd8tb/C4R53k7bcKBmU+2ThmGnJvw4seqSsapAqDlGUJrWRQM3kBjVTzr8oGyc1bgXSXN0aqGCQ/bh1SXWdXNWjrFnwhi5aNPJ6rmkHqNh5S3Q+pbtArHxQa2UPuSA2D/hbBDyLVvKKmQeq+DlLPswxS9zeQx3Nhh2sbug8gHzXHHtcxSB62+0h5OBrXNWi0PHDIVLIw9Qye9xqUFbvbob5B+7Ebn5By87o1MOgWfu0PZAtZwIYGyR/7hRwkvxoZ5ClvHCDV7ebGBsnTiEsTjMf7KDSyuNyRpgaheh+mIBvIGyLNDHpTADM4pBx+9uYGJWNYLUBOxXCJbGGQupxDrpfTpZYG5cdhW4OUhyNTK0PPV5DqfNTa0OcvpNzdfG0MGovd2IdU9zXaGqTuwyCzywK2M+ggfuw0srz8am/Qnad7Gl5EtpIDtYOh55fIobLQHQ3yljuClMO+YSeD5HB+jNyJYdq8s0Hqfi1SzTO7GNRI7jBS3R/rapC63YVU9x+6GTQdhyMGKcs8oLtBG1G+P8iC8hf3MEjubgqylgTS06Bn2DyPXgap+55I+XF+vQ0ajx+bgQyWX30MknznIXPKgdrXIMltSV923o+d92Pn/dl5f3Y+gJ0PYOcD2flAdj6InQ9i54PZ+WB2PoSdD2HnQ9n5UHY+jJ0PY+fD2Tkynbqxy85HsPOR7HwkOx/Fzkex89HsfDQ7H8POx7Dzsex8LDsfx87Hs/Px7HwCO5/Aziey84nsfBI7n8TOJ7Pzyex8Cjufws6nsvOp7HwaO5/Gzqez8+nsfAY7n8HOZ7Lzmex8Fjufxc5ns/PZ7HwOO5/Dzv9j5/+x87nsfC47n8fO57Hz+ex8PjtfgHoemuEVtYCdL2TnC9n5Ina+mJ0vZudL2PkSdr6UnS9l58vY+TJ2vpydL2fnK9j5Cna+kp2vZOer2DkSs9ZBuVaz89XsfA07X8PO17Lztex8HTtfx87Xs3Nk1WHj8lTfwM43sPONBs+j2fkmQ99HQqrpw2aD5NOf10h1P2+Loa+fkTK6bkU95YMG5Jf5e3Cli3rmwkhHesod2I56NscPIPVzDYPw6Z1ddhr6vhMSs/QZXrsM0s+ZUM/P+KDdqKecuCPVfGkP6rnrNf4G9axcOylir0HrXp4IXIbML3/hPtRTPc9CPeXjwf2YD8jHcPvZ+QF2foCdH2TnB9n5IXaOPNgWM6LDqKd8fIK8PQc7cMTg6wvU81SxDFWPGiRv+15HekeFVa59DPWcNKHp3WPs/LhB8innY2TJmviEE+ibuFx4iVT3m06ib4bgCgIpy935lEH6eQ36JsrT6zT6ppwmIuXuDDiDvqlu2KNv4tcPO2uQ/NgUpHoecg59Uz1ARN9c+HzuJKQ82n4X0DdlgZFylhZ0EfMm+QPIwxj+YZfQN+WNYeTdY2+xReib8kAgf3zFjl4xSA0bpJ7noZ7yMCPl4ctzDfWUhwWp7oNfN/i6y9D3UW6gb8rdRsrdKXPTILWZSHV/5xb6pvxYpLqOu42+KQOpn5sZVFsOAOSLubLA6JtyB5Dq+uYe+iaq/hapnt/cR9/EcP2MlMOw+wN2jqysPsggjNocv5Ht5MT3EfomDl8SUj2Wfoy+KQvyBH0TZZyAVPfNnxr6Pg5SDbxn6JvYzDnIZrJwz9E3u8oNQ9+UE+8Xhp5/I9X130tDXy8i1f26V+ibcgdesfPXBqnhj1TPMd6gb8qBgpSjothb9E05vJDq+vYd+qYcDkj1PPw9+qY8fO/Z+QeDVLmRHeQv/MjOkfo5Bzv/xM4/s/PP7PwLO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/yc5/svModh7FzqPZeTQ7j2HnMew8lp3HsvNf7PwXO49j58hO6sBifiTbDFJd98ejb8q2gJRR5I9BivEfdp7AzhPYeSI7T2Tnf9n5X3aexM6T2HkyO09m5ynsPIWd/2Pn/9i5i6mdI5VzV1M7RyrnbqZ2jlTO3U3tHKmce5jauaepnSOVcy9TO0cq596mdo5Uzn1M7RypnPua2jlSOfcztXOkcu5vaudI5TzA1M6RynkqUztHKueBpnaOVM5Tm9o5UjkPMrVzpHIebGrnSOXcZmrnSOXcbmrnSOU8xNTOkcp5qKmdI5XzMFM7Ryrn4aZ2jlTOI0ztHKmcR5raucPUzpGqPIapnSPVwDNN7RypnFumdo5UP+40tXOkcp7G1M6RynlaUztHKufpTO0cqZ9Xmto5UjnPYGrnSOU8o6mdI/W6F1M7RyrnmU3tHKmcZzG1c6RyntXUzpHKeTZTO0cq59lN7RypnOcwtXOkcp7T1M6RynkuUztHKue5Te08j6mdI9UwzGtq50jlPJ+pnSPVYc5vaudI5byAqZ0jlfOCpnaOVLtdyNTOkcp5YVM7R6qPLWJq50gVRU3tHKmcFzO1c6RyXtzUz3uQynkJUztHKuclTe0cqZyXMrVzpHJe2tTOkfr5kamdI5VzYufEzsuw8zLsvCw7L8vOy7Hzcuy8PDuvwM4rsPOKJr1eKZpOqcjOK7HzSuy8MjtHrpvf+UBEFZPy5Xp4aSny5LkKT51V2XlVdl6NnVdj59XZeXV2XoOd12DnNdl5TXZei53XYue12Xltdl6Hnddh53XZeV12Xo+d12Pn9dl5fXbegJ03YOcN2XlDdt4I9Tz181o0Ut03box64o/xyJryQWYTdt6UnSN/y+VJzdg5Ut+HZudIdV+pBTtHVnzq3BLW0tT3Z5Gt/ZJumK3QN1d3fb0SKVd/pW9tks/tSl4bkOp5dxvUU65KQ6rndW1RTzng2rLzdqgnNvdQO3benp23Z+cd2HkHdt6RnXdk551QT0d9n9ud2Hlnk55XwZHuzM67sPMu7Lwr6rnp68C3SHVfrRs778bOu6OeXqhkd3bew+TnWOibKOfgnibfnzdJ7v6oXuy8NztH7jmDDepj6vu/SLX+oq+p7/cjP8nH6v3QNw+V27UQKfk5+pv6eTvSkjeiB6BvhqUkrEUW2dE9IMtA9E0M2y3IunIHB5n6PjSyh3wQMJidD2bnQ9j5EHY+1NTnc6Ra9zEM9ZQgkOq50XCT5G7dQMbI5SIj2DlSPWcYaerne0j5x5ajTH1fHqnWI4xG3zSx4cjm8i/GmPzcAn3z7ZULvceapJYHIv+z4QCMM/XzOqRatzXeJDl8XCaY+jkIsr4cSBPZObKXLMQk9E2UfRZSPReejL4pFzhMZudT2PkUdj4VfVNuEFKtb5qGvol/tgmp1mFNR9+U65CQ8rFuvhnom3KdGTKb/IuZJmEUjzmCVM8jZqGeGN6nkHLYlpuNvjkQO4hUz4XnmCSHzzXkvFIY6P+hb8oFbUh5GBvONfXzVqRaNzPP5Oc5JskytZ2PvikHHFKt21hgktzcr8hIuUEL2flCdr6InS9i54tNkkxTkF3khi9h50vRN9/H1Zi0lJ0vQ9+Uy+yWsfPlJsnhOHc5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw86RV7Fbhdayc6RaF7kOfRMffwIp/1mZ9SbJP55DGvLAb0DfBNMrSMmvxkZ2jpRc6m9i58hucoBsRt/EsH2OlMOx9RZ2voWdb0XflAMdeVQuO9vGzpFqveF2dr6dne9g5zvY+U70TeyW2y7Mj2TBdrHz3ex8Nzvfw873sPO97HwvO9/Hzvex8/3sfD87P8DOD7Dzg+z8IDs/hL6JYXEAqdanHDb183LkGhwecYTP50fY+VF2fpSdH2Pnx9j5cVM/9zrOzk+w8xPs/CQ7P8nOT7HzU+z8NDs/zc7PsPMz7PwsOz/Lzs+x8/Ps/Dw7v8DOL7Dzi+z8Iju/xM4vsfPL7PwyO7/Czq+w86vs/Co7v8bOr7Hz6+z8Oju/wc6RIVPMQsVusvOb7PyWScdqde5+Bln144ORFW6b+vnjbXZ+h53fYed32flddn6Pnd9j5/fZ+X12/oCdP2DnD9n5Q3b+iJ0/YueP2fljdv6EnT9l50/Z+TN2/oydP2fnz9n5C3b+gp2/ZOcv2fkrdv6Knb9m56/Z+Rt2/oadv2Xnb9n5O3b+jp2/Z+fv2fkHdv6BnX9k5x/Z+Sd2/omdf2bnn9n5F3b+hZ1/Zedf2fk3dv6NnX9n59/Z+Q92/oOd/2TnUew8ip1Hs/Nodh7DzmPYeSw7j2Xnv9j5L3Yex87j2Plvdv6bncez83h2/oed/2HnCew8gZ0nsvNEdv6Xnf9l50nsPImdJ7PzZHaews5T2Pk/dv6PnbtY2jlSOXe1tHOkcu5maedI5dzd0s6RyrmHpZ17Wto5Ujn3srRzpHLubWnnSOXcx9LOkcq5r6WdI5VzP0s7Ryrn/pZ2jlTOAyztHKmcp7K0c6RyHmhp50h1Pk9taedI5TzI0udzpDqfB1v6fI5Uzm2Wdo5Uzu0Wr5+ytPMQSztHKuehlnaOVM7DLO0cqZyHW9o5UjmPsLRzpHIeaWnnSOXcYWnnhqWdI183+OzqZVraOVI/D7a0c6Ry7rS0c6RynsbSzpHKeVrUU65TRirn6SztHKmcp0c91UIWSzvPYGnnSOU8o6WdI5XzTJZ2jlTOM1vaOVI5z2Jp50jlPKulnSOV82yWdo5UzrNb2jlSOc9haedI5TynpZ0jNwxc3L9nLks7RyrnuS1eb2Vp53ks7TyvpZ0jlfN8lnaOVM7zW9o5Ui3zKWDp9YpI5bygpZ0jlfNCll63jVTOC1uklm0jMxy4cSdrEdSzRqn3W5Gl5IKhoqjncIffHmRjdeKx9DoiZL9yHcuUKI56Pr1X7wRSOS9haedI5bykpZ0jlfNSlnaOVM5LW9o5UjkXlnaOVM6JnRM7L8POy7Dzsuwc2fZrzhl9y7Hzcuy8PDuvwM4rsPOK7LwiO6/EzpFNUcXAyhbJ0+gcpF4PhXp6Ne+6EDlr+ZXhjqqWXieOVOtBqqGecjkmUi73yVzd0utNkOp1lxoW4eScvBOZKA9TTUuve0CqstayaI18fQip1mvVtvT5HKnO53UsfT5Hql9T19LrXpCj5LfrWXo9NhKj63uj+qin/AZSreNoYJF6XQh5E0e5fUPUE3vzEamWszdCPdU/RD3lAp3Gll5/g0yD4TGwCeoZL1+oQj1lAZqinpnxC5BqPWEzdt7cIlmuKcgklCGgBfomdm8WMkxtiKXXDSLVOqBWll53hqxuk28QsHOkWkfVBn3zEb6BHNNbvjnEzpFqHVs7S6+DRarh294iOSyPINV6pA6Wfi8BqYZHR4vXOaNvygJ0skgepmtItb68M/omynoHqcrVxdLrL5F63b+l1xsi+8jN6Ya+KZf5I9U/726Rer+pOzvvgb4pNxiJKuIb7Bwp2QztZZGctSUj1fqx3uibS7FjfSwKkv8QuQLDza8v+qYa4Oy8HztHqvXA/dE31S+wSJbfHMDOkXqdNDsfyM4HsfNB7HwwOx/Mzoew8yHsfCg7R8oqlhlmkfzpc0j13ttwS6/PRaphPgJ9U+4YUq+/t0gOtwdI9V7eKPRNDI/nSHXYR6Nvyvd8kGo90xiLZPk/IyvLso616H49OVLY+TiL1x9bej33ePRNbM5fpPo1E9A35YCciL4pv40UqqDom+A6bRI7n8zOJ7PzKex8Cjufys6nsvNp7HwaO5/Ozqez8xnsfAY7n8nOZ7LzWex8Fjufzc5ns/M57HwOO/+Pnf/Hzuey87nsfB47n8fO57Pz+ex8ATtfwM4XsvOF7HwRO1/Ezhez88XsfAk7X8LOl7LzZex8GTtfzs6Xs/MV7HwFO1/Jzley81XsfBU7X83OV7PzNex8DTtfy87XsvN17HwdO1/Pztez8w3sfAM738jON7LzTex8EzvfzM43s/Mt7HwLO9/Kzrey823sfBs7387Ot7PzHZgfSVg72PlOdr6Tne9i57vZ+W52voed72Hne9n5Xna+j53vY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnR9j58fZ+XF2foKdn2DnJ9n5SXZ+ip2fYuen2flpdn6GnZ9h52fZ+Vl2fo6dn2Pn59n5BXZ+gZ1fZOcX2fkldn6JnV9m55fZ+RV2foWdX2XnV9n5NXZ+jZ1fZ+fX2fkNdn6Dnd9k5zfZ+S12foud32bnt9n5HXZ+h53fZed32fk9dn6Pnd9n5/fZ+QN2/oCdP2TnD9n5I3b+iJ0/ZueP2fkTdv6EnT9l58/Y+TN2/pydP2fnL9j5C3b+kp2/ZOev2Pkrdv6anSPrVlk+OvMb1FO+H4nsPnjo+pxvLUpI/fngTqRel8rO37Hz9+z8PTv/wM6RDwv+LFrhIzv/yM4/sfNP7PwzO0fqdfPsHFkmut21Fl/ZObK5fP3mm6Xfa/rGzr9beh3+d3b+wyJnWNcasUj1/vpPdo688Gz/+OFRqGf/jAv/IdV7DtGo51rXY54xFv0t3vvGZOSUOy9e+ceinviYmUj517ZfqOfi7BHzkSfy4j/iLFLvkyIfy9f6f6Oe8kVtpHw9IGO8pdcLIwPlP/hj0dIGK7duR2b7nupE3gR2jixnfn1TOJGdJ7Lzv5Zen/6XnSexc6R+n4CdJ7PzFHaews7/sfN/7NzFqZ0jlXNXp3aOVM7dnNo5Ujl3d2rnSOXcw6mdI5VzT6d27uXUzpHKubdTO0cq5z5O7RypnPs6tXOkcu7n5Pc7nbyO26mdI5XzAKd2jlTOUzm1c6RyHujUzpHKeWqndo7U71k4tXOkch7spE0YxueQyrnNqZ0jlXO7UztHysNfL8RJ6v175ITht/Y2CXWSLURceIbE0XzUKgz1lAcQqd4DCXdSpb4Qg7zv2zl99wjUc/WDgj+R0FCpbyTqiY+JQ/rJF7scTv1eCVK9f2ignvL9chP1lAMWea0FRpqFesoXU5FyuKdyOkkO49lIN/mCRRrUE8NuIVIOJ0da1BPDZDmyiHwBOR3qKV/LRirn6Z3aOVI5z+DUzpHKeUbUU24AUm5+0UxOfs/Lqd/nyOwk+TFnkMp5FtRTbihSsq2WFfWUoJABcsBmc5Lkcw+pnGd3kvr/QyCV8xxOUq/PIJXznE7tHAldYV1zObVz5JyR+ODcTu0cqZzncVIxlDcBqZznderzeT6nPp8jlfP8Tu0cqZwXcGrnSOW8oFM7R6rzeSGndo5Uzgs7tXOkcl7EqZ0jlfOiTu0cqZwXc9KB8Rg4SOW8uJPk4T+MbCk/uIRTO0fKw1CupJO85ABDKuelnCTLcQ2p3s8s7aQS8kUjpNysBsJJDeVARL6Vr7OQU7+HhEzpgA0t46RpyfgPJKrv27msk/BbzK9I9Z5+Oad+rxGp3msq76SnGMbxSP3eoVO/D41U72FURD3lgankJHn4JyJzyA+u7KRDOFzTkfIwpK7i1O+9IVvLA1gV9UQ5FiPlbprVnOSDzV+JlJuVvrqT5K9bj9yFj8law0nyr7cioXV37ppOaiz/A/le/u8wajlJMjuIdJEDorZTv8eDVO/b12HnyEISXl0nyWF3BSmHU416Tv1+Vj12Xp+d12fnDdh5A3bekJ03ZOeN2Hkjdt6YnTdm503YeRN23pSdN2Xnzdh5c3benJ23YOct2HlLdt6Snbdi563YeWt23pqdt2Hnbdh5W3belp23Y+ft2Hl7dt6enXdg5x3YeUcn/Q9itA0g</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="268">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0SGOwkAUBuAegeMgK5BIPCswKBJCgkGgdi+wCoVHcQAC4U54EqaPpK9tkJjvM39mOvPmzbSqAOCTef2K0brkflLytix5XLTHsb5aNfOz9v78vTNetetGxrqoF+dF3ch6299fPq9Td9m/L6+LcbxDjH92A/dK+8Z/zfx/c96p5PRa8nEv+XspeT2X3Bza+6PP/D86/yHfb9Z/r6H3//Q++bxcf7CvRu4rf89iXdz73TcAAAAAAAAAAAAAAAAAAADf8gR+j1Zi</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=157.123 Q3=157.123 sample=32 experiment=1 RT=0.63 ce=-10.00 name=C9:0_pelargonic_acid" defaultArrayLength="2265" index="44">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="157.1234" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="157.1234" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="284">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztzy9LQ1EYx/EJIhfx33QyBKPhahpYrL4DxbJkNMjCojbDgmAwmAyCYDUsGAx2jYLFJBZhYPINiHh+Ft+BwudTvpx7OA/PbTTgbxnuzm9+9/imWfq6P1P6sD1V2l2ZLq3u8/1yNeflt7nSQSfvx8/S/ker9Lq1WFqvtzP3Ih2dp3djuR+cLmReN/M2njKnesx562i2dHiSffpXE9n386dLVenty2RpZy/79dby/nmn+et8cJj7us7/jN5TAAAAAAAAAAAAAAAAAAAAAPgvvgAB1int</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=160.062 Q3=99.800 sample=32 experiment=1 RT=4.27 ce=-45.00 name=2-aminoadipic_acid" defaultArrayLength="2265" index="45">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="160.0615" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-45" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="99.8" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="188">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0jEKwzAMAEA/q2PGzJ08lVII9Bl9egdjQ5QoydChw90iJBxZwSoFAADY9XxPLb5a/NQkX0L90WK5hfq8H/u5mP+tPt+v5sz6Xb0nnrt6/iSf7ut+m/dJ7unfZXG8fw31uu632Y8a8mSfRr+wh9k8Y3+X4/8CAAAAAAAAAAAAAAAAADjwBWFBLKg=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=163.061 Q3=100.800 sample=32 experiment=1 RT=2.58 ce=-15.00 name=&quot;1,5-anhydroglucitol&quot;" defaultArrayLength="2265" index="46">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="163.0612" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-15" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="100.8" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="304">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0S1OBEEQBtBxXIBwFuQISLgAArdmDQYMkmQJWYPDAWoTBBxhNYYbgMUiIAQwZAUkXdOTTEPDOsx75ktN/1SnpmkA4J9MNtuU7fYwm1E72Nd/r5yv1bPd3++v9c/fH/aG+2vvy/vL/n+9u+xXruf+W9PI99PI5+uUk7ebqG/vo15/SjlbWaQcrX2m3F/9SNnuPMa+q7s4dzGPfL2M3DiPPDuJfDnu3nnY5UH3nqNhndfzXPLc+7mNh3U5r37+45/Xy/ksq3Zu2ftr/wcAAAAAAAAAAAAAAAAAAIBvvgCLIEr2</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=164.072 Q3=103.100 sample=32 experiment=1 RT=2.53 ce=-30.00 name=phenylalanine" defaultArrayLength="2265" index="47">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="164.0717" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="103.1" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="384">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0iFIA1Ecx/ELNhHUNKtBk2A03oIIIjaLDkVhZSATUatnsgqCiIJJdKJFEBkGuWJftAhGi2DQIgvi/3fv4P7HimD7fsqXd/fen/F2UQQAwH9ZiC3Jiho3iuukGRf2RdOu7nwQ5uT76j3mBH7t9ufzw/Ne593+0rnwvume+9/n5mxsqp8n6vyDNd55th6Mf1m31oaqv611xqynI5PWm9UJ6+LyqPVjbtj6mnbtXPryrrkDmhfPdKxJ/5O6lOr926O621bXb9WpO/X7Su221Nlrte9SvT/P5pyptYts/3G2PlLbh8W29tXKnjq4rZburV58n39P2X2Hewz7/Hfj16X/GQAAAAAAAAAAAAAAAAAAAAAAAAAAAADwVz8FE1du</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=167.021 Q3=69.100 sample=32 experiment=1 RT=3.27 ce=-45.00 name=uric_acid" defaultArrayLength="2265" index="48">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="167.021" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-45" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="69.1" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="308">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0CFLBEEYgOEVwexPWEwX/QlnsWoyX7GJCIIgHLjFKGo7UBCrWEWunX9BDNouqFgEk1VxvhthxNOg156nvHyzc7NzW1UAAP+oWWxPdP+kz/mrcff4uv7bvnqtXczDTjl/7l/5/pxx78nnHGxFu0fR+/PoxVXq4PI25rvn1NnVt9Tl66mFj7ZaM6n13HRq+/Q1PR8+PKY2Szfx+34/un42usdJ9PhwNO9He3vRp6a833w32tku13Pr3bLVTvRlo2z+34PNcj1/v/y98/M85wIAAAAAAAAAAAAAAAAAAD96B31TQ0M=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=173.082 Q3=111.000 sample=32 experiment=1 RT=3.58 ce=-30.00 name=Sebacic_acid写错，正确那个是suberic_acid" defaultArrayLength="2265" index="49">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="173.0819" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="111" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="192">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0TEOgkAQBVCOZukRKI0VlaExoTQmJpQcwaNSLJLsymRiZ/Fe8zPLzuwCXQcAwM8e59NhHa2HdV/3Zfuje+zZzIvmXK7H+7J7fZ0T5D6/qdtcproe71vfkMzN7t3Xz7P/FX6fbc70KjnPJYdnyfet7v/0RedGsvcBAAAAAAAAAAAAAAAAAIA/twKohjm9</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=174.041 Q3=88.000 sample=32 experiment=1 RT=4.25 ce=-30.00 name=N-acetyl-L-aspartic_acid" defaultArrayLength="2265" index="50">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="174.0408" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="88" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="132">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0KsNgDAUQNHuhalGMwAOywgdgREYFUHNa1ICosGcY26a9J8SAADwbMqhZc5j9v9b+746PtfYdn5vfd7uHqV2j01Lc97He/KS/wIAAAAAAAAAAAAAAAAAxrsAqNwQRw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=174.057 Q3=130.066 sample=32 experiment=1 RT=1.74 ce=-15.00 name=Indole-3-acetic_acid" defaultArrayLength="2265" index="51">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="174.0565" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-15" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="130.0661" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="412">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0r8rhVEcx/HzR8hkuH+Gu51S6m4yMZESRfmRG8kgFlLcEdMzIgNloAyPMthYmW5M7iT8Aer5nO9T3zOYbN6v5dP3+T7P95xz7wkBwP/WisqJ6GvLZtY3475fjkb3vJzOauunOXFFubju056P7SsbB8qTXeXAYXr/WNl/qpy7Uj7cKr/vq9wcelKev1Q52fem+vFd7219qh7+qrITVMfmh7LoqX/2WmV586y6neYe3WnOzKWyVyivO/5c3bV0nqWUC/68VocN5ciqT+vX36cM8762dS6WUz/9/t1ZP8f6tr/GjnJwLz3f9uewfdl3Ni9fx/Zj/3N97rSu3Yuy/fs+6/uWZ8vPsftXTPl5+f2zfdl7AAAAAAAAAAAAAAAAAAAAAAAAAAAAAADgT/0Aejltxw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=174.088 Q3=131.000 sample=32 experiment=1 RT=3.98 ce=-30.00 name=Citrulline" defaultArrayLength="2265" index="52">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="174.0884" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="131" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="280">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0SFOA0EUgOEeAIGoweG4QuXavQG4BociqWhCUkFRoHDoSvC9QE1dHQdob9AjkOzra7JDB9cE8X3mz7zdnd3MDgYAAHBubdOleYhu7w/ru9PrmstpXB/P+t1PKvu0f++X8v6y1efbyvsq+/2aF+fw/BgdvUUvPqPzZXS96Tq+2na93uxivvqO3qyii6/o8CP6+h7dv/TbPEXz/PJ7buf9eX5X3n9cF/8t59njuRz2zf+T63JePl87p1wDAAAAAAAAAAAAAAAAAPDv/ADyR0go</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=178.051 Q3=77.200 sample=32 experiment=1 RT=2.09 ce=-45.00 name=hippuric_acid" defaultArrayLength="2265" index="53">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="178.0509" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-45" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="77.2" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="252">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0SEOwjAUBmCwnIcD7AhIJAKBQKMJhyBIECAJR+AoSCQSSULpkr2uCQjc95k/bfe2t77BAICfXafNO9dN89V5znZ/lnI/T3lbdtfXRX99Pq9ZT0LdpOk9b9fhudxX7Tz3v9ukHG9Tjg4pn6fP/jnl/ZJy+MnHsVuX33NZpWz/v3J/8b6Ldegzivcf96NibpV5FnVhDrX+avMq6kK/sb/iu2HOAAAAAAAAAAAAAAAAAAAA8GcvXw1JxA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=178.072 Q3=58.800 sample=32 experiment=1 RT=4.11 ce=-45.00 name=mannosamine" defaultArrayLength="2265" index="54">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="178.0721" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-45" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="58.8" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="140">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0LENwCAMBEBGo8gIqTMLo6ciBeJFRMtdg2TBY7sUAAA4TL3rtN6ueT3p93ffpZx+jn22Z/5ulb9rzFnt7e9e43zhv36muVY5qZ/UV8wd9g8AAAAAAAAAAAAAAAAAwOcFx68c/Q==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=179.056 Q3=59.000 sample=32 experiment=1 RT=3.40 ce=-30.00 name=galactose__" defaultArrayLength="2265" index="55">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="179.0561" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="59" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="492">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0csrRFEcwPHrEVMeiSEbslFWGsraWCjLWcxiFhaGBYVCE6U8skCRLDxqhOT9WoiFJI0oI5oFC5azsJCklGIpv9+5i1P+AOn72Xy79/zmzL3nOg4AAMAf5uvzW3UGtGWt2uSQNq/fXm/q1gYi5n6nfd83Zq7D2scR7da0tmtK641qQ/va8V1t47ZZ39G+rmpvo3abV7RHi9r0WbPPhL2eXLb/99TMNcyY+QVthplPXdc+mecJH2p7TrSl59rKa+lw4kZ7lJDGSu6k/vIHafLiWdq19iH9Cjp1Pz1uT5PGRzOlsSuP9LHG9CxL2vaZLf0azJOG6vOll/ECaTDglfr2zPVxodSTLNL9q4qlgW6da9vO1f1zUqT+9xd97tp7fY+Wc/u93w60MXM+dxvaXlP3e3Us2XPueoU5f/fcq833nNzUJnbsfd3fu3ORObvP87/vCwAAAAAAAAAAAAAAAAAAAAAAAAAAAPxT3zCQfjg=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=179.056 Q3=87.000 sample=32 experiment=1 RT=3.83 ce=-30.00 name=inositol" defaultArrayLength="2265" index="56">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="179.0561" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="87" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="264">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0DFqAkEUBuA9Ro6zkM7K2koIpLASLAJWiyEg4iVsgoWNjSSdNwik9DSCL29hBkQkXfJ9zc8/u/tmZpsGAIB/7/jUXnI6jWxHkd2g7Pm8X59ENi9tMSd7Pe84i/x4jRzOIx8WZR+/le9l5n65T/acn+rzp/o+2XNe9nq9fp6urfe9+g/9vJ//sF1G7jaRz4dLduvv6J+n6O9f0R/3kcNVeY/6/vV5brn3/d9+BwAAAAAAAAAAAAAAAADAn3MGj+xBBQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=180.067 Q3=93.100 sample=32 experiment=1 RT=3.28 ce=-45.00 name=tyrosine_" defaultArrayLength="2265" index="57">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="180.0666" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-45" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="93.1" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt3GVg1EoUBeC6U9rd6iZZ3N2dubi7u7u7uzs83N3d3d3d3R0qlNLSlndm5vbPeZSyTW7mu5kkk1fL+LRvTM1qYszLxW9/RjcXOx61GljL2VEsPR2TuOFsD1H+/hkxal9fcaRKgFuOSQPF3mExu2p3GyqyR5Xol1RqpKCmUzpOmzNW5DTOTrkfMFE0HLHjQNtRU/jzposit7q4Ly88W1RX35jDn7NAZLMV69rXuVQsfNLhzuH9K8WJZd+GBI9eI/JW3+BXMdN6Ef7fhvrLRmwSj2PTu2TKsU1U/57/87MnO0XGGpuL/o3aLa40+tmid+xesW273OADYob7mTbDtx4SBdTXUfGk7TqPL0eOC7rs1612ulPiRmSdJ8bw02L8iutbbmKfbD/tjqV5z4l9TeIOP5l6XjQ896CJ4/0F8Sf3oYQm4pJYslh+XRYlPYYVexx7RURPjvedUeOaGPW41JDGm66LdOXTRC5yuym6v7v+K1PuW+L44hPnKjy9JQJr7ZzXYfJt0dJjVfsJhe6InYdnF1z/5o5w6TXG4/ysu2LStbED+1e5J8IP3nZ54XZfbFqddlqlY/dF0em9QncPeCAuDzyx0pHnoah172TwlU8PxasTgcsKrHkkem9ukXl5s8fCdd62XV6hT8Sk6O3pD9x4IsKfJW1LM/mp2HShWpEpZZ6JoruX4Mg9EyflP9v3XNRK+HLcv+cL8eptscoDsrwUHcuUOJLx9UvxN7RC+ko1Xon6dbOsmrLrldg+09d5zf5aeF39ujRw0GvRyltW7LUoMGLKtAOl3ojph7v5Jqx6Iz7E1ZhUwuOtEPnzeo7s9FYs6mkbd+rKWxH/rs3qBwXfiUbNdp/8tuKdKLkoy5eXPu9FuvvLQ+72fS/GVJMH8L3oOLldi2cVP4iq5x9Purnrg9hSItuG946PYtbglbcejf8ofv6QXx/FvRwdIt80/iQKrtlX5M+ZTyLiZfa2X3N+FoMbDB3tuvCzeOlZRHz1/iIqHohNvjf4i9jWcdexE5+/CHt4j2Gbmn4VcS7uufdf/SrU5pT8JuTomLz9G4+772LWmbiszWd9F7/77vlYweWHaJGh14Y8fX6IU6Plhv4QGV9kKVi4zU+RuoH/v6TbP0Wpgdlju2SNEjFlbna83ylKhFqX34t1UeJs+y2t69+J4rpHifpv1y89lzZa3F14qPPTctGibvWrhWI6RgtVhhnRIs2v7iASLbqoAkSLZZ+rNd/3PVpUObP1jntAjCie4rxZJnuMuJVme/m9FWLEtjITgka0jxGqbONiRIcJhTYFrYkRKeUSv389FSOeSj4vY8TBSVsmjEqJEXM3j61TxYoVe3L3XOtaMlbMrF2x19WmsQI7XWL+kFhR/8TQn2OXxorRPb5ka3U8Vhyu+KJ6qzexIjbNnV6tvH+JXs0fR9TM+UtsKnS9RM06v8SbwNMtaw78JVSbWPpLNDi9aV3NU7/EzCXLLtZ8/0v4PVzbu5RfnPglmeaME2nlx9SME34YTXG94kSN8akgIk7M/lJzapfDceJe7dnnM7yIE31uH5i0xfO32HrzfsNveX4Lxajpb/GsM6SM/y1CO6UpfXbHb1GrQ+lUno9/6/13j9fHMVe8SGq1dOiVRvGiUEt0lLHxeru3xYtNTf98nPUgXqyKc8/31uUP948/wi4PXIM/4tx02Sj+iALndqNCf8S7lv3SdbnyR8xPKBjSPvqP8Mj3dnTviASx/+q6ft1EgnbYOUHM+pj2/vJ5CeJW4phFfU4liHp9fr8u8C1BFI7pmGgLTxTNHnxZ9KpMohhzpGeRHd0ThSzDjcWJIkOm2g+/X0gUB0vVz5UUmyh8YssnG+n+isaqwH+FYj3sr8CHYOD+FdUueZdaev+vePnKf+5mtySRd0FS28t5krSf5kniDrqG79Qk8aru0erFDyaJfD7bzKbvksT5tLv6dg5OFmp4l0gWik37ZM10ZrLYv2HIxWxHkoXU8+R9skj+PeDVsuAUIUfBoDIpwnGqWdoyfVJE1YaNx/mtThFoJq3f30oRy0b8CTjq9k9E/6raZGLRf8Ldd2qadj3/icebr21cveqf6PHx7+boO/+4H7rQ1aaWvWSEC+Wr6zbgeW4Xinv6cEy/ii50qAM6TEsXGobRt3KAC5VGFy00w4Vazne2PrXehZ7/e3Kv3gkXOpw06dfThy7UpxRGVpQLZR0pO48rqT6Y3pWUs+KudD06fnBgXVfCb1uUpasrpf4wJbHIWFdSfXipK0m1Vfe50oC5ER4Nb7iS6tufXGmcX7rESy5uhMHlcjjcjZbkqlh1VW43avDhbu3ZFdxod+1uSwY1d6PLSwGzvxtvpxvZ1h8/Hb7BjSaNzemMPuFGh2jsm4uP3Ohonw7tika7kVWo2Kzlfu6USp7oMrjTLTmsS7jT3FY5E87XdaeGn129mnd1p8Gnr99MHONO8Tmmlp+5xJ0GLqh4ON1ed9L9yp1uJ++sUeq9OwVUqZf9Roo7fargUrVhhAdlmLM288d8HvRvBkBX8yB51kru4EEzFqIBj/agTAPclvgs9aDjdRekm7nfgxrkzb7ZfsuD2uTHf332oJ4FRx8kN08aWnhr6UaGJ0XfRIMp4Em+xoqW2ap50hfZhtp4UvfcOMMO9qQfQd/et5/lSTfLyA7tSXUy9r337pgnyY/bfNeT9svh9cWTFnQ+EJHN1Ysiqo3c/S7ci+JPFo6bl8eL7g/+nDlfZS9S/bC1F+WVA3aoFwXIAz3Xi+RZpf52L1LngwteVFa2uVdedHyQLJAXoVtBpDeNTumcaUkub9qycXjciwrepPpHS29KSVg7v/NAbwrs/4Q2zvAmM7//k9vrvaneq0Ef/hz1JjlZyHrHm9Lh7Frrkzc1Lrbv0sAUb1KOQ3zo4vwZr89l96HVu33LxQsfOoWzRM76PjTSKtqpfBcfPR5H+lDJNyPKtpvrQ/Ks2WAz/h57We2ED8k2SHd9aGMqbMBHH71/iT601B8HLtCXVJ9O70tB8hcX9qVj2Uvh1OJLnZPpWtHWvqT6QT9fwkkHndCXCqsJjy+pvrnTl0Y+SH1u+llfipPsHvhSqj7bpj395EsZF/6bPfKvL/8eP9qbb1nj62n9SJ5FhxTwozLXiqY1K/pRiWprn81u4kfFM1QdNq6XH6l2PN6PcPIeVmyxH911Dzh0bwd//5wfdZlnoIJ+lDCspPfmH36k+60/qT4b7k9BgW+bVcjpT12elsPsyZ/Sxi/BFvjTkHN/x1/o6M/H15+mbN9b8MoMf1LzrtX+pOZB+/3pxIeyd+Zd8ad/6WTn8Sc5nEr+9qfPB3e6fwwIoNkN1zxumzGAJKMrJQMIkzUM3QB9/HsEEA5Kr6gJAaTmpysCSM5ClxwMIN2nAujaj8tny34PoPX9up1c45OKRsq2lTEVqfmoSEV53GrvOdM0FfnIidPAVNrlf6lIHe6dqUidf6+lontLPlgbP6Wir/J05RVIrpJlxkAa4fDbM7h8IC1vhplT20DS89VAeiWnucsCyU1NZAMpw7zbT/c8CKQKcy7VmRsbSL6yEEGpSQ7DzjlTU7G05oWDVVOTnDXbOuPPf6MiB05ITZ9moQBrUtOuhXNL5TmTmsahzZR+nZowu6ibxSWISE4Qg4No46fKuf+lC6JSaqISRJhc3+pSLoiW1MUJqV4QyTYe3S6Ix1cQbU8zOdJ7fBDdzVqkfdi8IMqG2Lc2iAIXe37/tCeIzt7FROtMEA0JrPu8yu0gvV+vggiT9LDHP4KoErrTquQgvf0BwbqvGcGEk+Xk+GzBuj8VDabO6bsPHlohmCIy1/NcWzeYDmwG2JbBNL7+oLrVuwVT+kdXL68YFEyy/ceNC6aZXlFhlWcH09Hnh/bkW4bPwfTC2BRModOrfvHYF0xl29kn/jgZTL2LP0v36GowLQ9GA34YTIcxq7r/JpjkX4/6Hqz7eHwwqfmvq43KYnr20c9Gat5ut+nxZNooD6ZDxzLZSJ13c9uonjx9FrbRiLgXmEnaaPCHP8NKVrLRmhQ02Fo2WvFz44VqjWy0RE7rW9poAdpF1442alto3Pu4HjY9rgfYaG8AYA6zUeGS6LxjbHRETpMn2bgv2Ui27d1zbRSK2d+xxTbtZ6WNvvnNHnZ9vY3I3ubs3a02Old2e5cXu226jx60kZzd/DxuozRbwlISztroch45EbBR//2hf6/esOn+eA/fPxXyZ/ljfL/ivN9eL230c92iBd3e4fsYfY8+26i8HFA/8fMt/ova8stGi48umJ060UblyoTNGvzPRj8uoBF62OnuC0w4fO00+eauHBRo1+PLZtfHLdxOat5o2GniumyYmtnp4+56i2tlsBNO+icLZLGTav857DSifWu/pNx2etFn6sx3+e3c/+xUtvSnx9uK22ldNVvL+aXt9CDf6XFDytrJJwJXNhXtpOa9Ve26r9W0k5rGNLDTw0vyRGyn9TVRqXZ2Kocy9elqp9eYHo3tY6dRXY/1nzvYTtWjWq/YNMqu3U60cx+yU8MCjVu+nGenX3PGZItaaqdkOb1YbSc5y3u5BZ8vp68H7bRsJSaMZ+2Ur/+/bvVu2gnNMv/Qp3Z6FIWJzwc7n+fttDLm/rDwJDupeb1XCMn20SsohH40xR5GhujtzBBCzeQO5wyhYDkwCodQfO39UTdFCGFWf75ylRBqJycydUPIkXNnr+LNQ0jN9zuE0ET71sicvUL4PBxC6eXX2BB6FIqOOy2EZsnLtPkhVCHZWD19RQjJ9uG5KYTkaWnk7hBSp4cjIVQjdma9/udCyOPj9Kzfr4fQETldeBhCvW9MvvPiVQhlOTNxY6MvIfR8//jht2JDSF03JIfofu4VSnnkZXBQKL3fGp/7UGSork+GUKqLYbU5Z6juo4VDSV1OiFAa0PN7o5Aqofp2QN1QCpYDoXkoXewNMR1C9bjoGUrycPQfHKrnG2NCaZWQ/yKUj1MoBWTBf60IJXWdtTGU1DR5dyi1ynY16OKRUFLXXedCSf7p0PVQklfV+R6GkrpceBVKEa5Zm7T5HkqX3gT/tCeG8v6E6fOjPYye4KozR9owwiip+CJnmD5PFgujY562EFExjNR8tm4Yqcu7VmF0YwsuULqHkZqGDgnTfWRCGL2shZnXf2E0O9+gXOlWhrHjMFLTu0Nh1Fde+J8P0/O222Gk+L8IY49htO/76q6v/4XRb1ymjA4KJ3Vdni6cHo7EmSNfuN7uiuH09U1hTM3DaUbW76lO9A6ns/KydWw4Yfa1pfW8cMo9e9WffBvCCRern1IOhtN0l3nbdl0IJ89Lx3HGDadRcsLzPJwSGgY36/Q5nORlYMKvcMLs7uY0lwjqKC/8AyLoZf9D5XaFR1ATOeHJEKHnB7kjSF2+Fo+gC//hhFkhgtQBrhNB8rRgtYigAnKi1TmCtu/yCi3bP4IyD85b696oCD6uEeTwHn/2z4IImntje/LUNRH0vCcu1HZEUKPCGOmHI/R893wEqcvhWxGkrs+eRVBpebn0MYIOGvjJ2AhSl2X/IujJ7Uy+O/0i9fwhLJJWFEPjSBepj3uuSFKn3aKR5I/2OqF8JE1otN47onYkyfaypVmk7vOdIilG3j7pG0ndBqBzjIyk9yVxgT8lUvf1+ZGk2t7qSD3et0Xq65pDkRT29ypmGpGk7h/cjCR5OfTjSSSNq1Nl+egPkZQU0e+hLSaSoHhnr8RIkncNLrk5aAsul9L6O3gcOmjzKMwUDAdhq1Nlz+igjflXThyb06EdFHTQg4AFD4uUcvB1iYPU7aAaDqq/uFa5Mg0dhNk+Zu4OGtsPjb+jg1zlhXYvB43JDNiDHOQiv0Y79HXPZAflfvK79v7ZDtqBtphqsYNyzehbruNqBz2bkcM4u9lBzTphBrjHQU/kjPaIg9S06oxDXx9cddBktM0xdx2kbgs9ddCkjY2u5H/nIK8x88tN++aguEz4DVEO2rcWDT7OQbiqrno+wUEF5G6lOEhfHxr0+nTJOv+8DD0+/A2a9S4mzZ3Uhh4/IYbuexEG5ZA3PiyDHPK2XTqDHt+Ir/c2k0GLqmOGkN0gdf8rt0Hy7oZVwKB7XsV7rEK2wVkgQ0GDfhTChBo5/PqEddkKGeTb4deBbUh1OV3Y0PM05O4c+NEihp5HINVxLmpQk5hpmU4i5WVl2WKG3h+k6+GHzSsXN0jdV0Gq+yIlDH08kWoeX9Ig+XEPkXXkBpYy6MVzfCHVeCttkJyevkOq86kwSF7GfkGuuosdIYNyyx9E4qda9itjUGU5wUPq86ZB7eSEAKlOe+UMPd8tb/C4R53k7bcKBmU+2ThmGnJvw4seqSsapAqDlGUJrWRQM3kBjVTzr8oGyc1bgXSXN0aqGCQ/bh1SXWdXNWjrFnwhi5aNPJ6rmkHqNh5S3Q+pbtArHxQa2UPuSA2D/hbBDyLVvKKmQeq+DlLPswxS9zeQx3Nhh2sbug8gHzXHHtcxSB62+0h5OBrXNWi0PHDIVLIw9Qye9xqUFbvbob5B+7Ebn5By87o1MOgWfu0PZAtZwIYGyR/7hRwkvxoZ5ClvHCDV7ebGBsnTiEsTjMf7KDSyuNyRpgaheh+mIBvIGyLNDHpTADM4pBx+9uYGJWNYLUBOxXCJbGGQupxDrpfTpZYG5cdhW4OUhyNTK0PPV5DqfNTa0OcvpNzdfG0MGovd2IdU9zXaGqTuwyCzywK2M+ggfuw0srz8am/Qnad7Gl5EtpIDtYOh55fIobLQHQ3yljuClMO+YSeD5HB+jNyJYdq8s0Hqfi1SzTO7GNRI7jBS3R/rapC63YVU9x+6GTQdhyMGKcs8oLtBG1G+P8iC8hf3MEjubgqylgTS06Bn2DyPXgap+55I+XF+vQ0ajx+bgQyWX30MknznIXPKgdrXIMltSV923o+d92Pn/dl5f3Y+gJ0PYOcD2flAdj6InQ9i54PZ+WB2PoSdD2HnQ9n5UHY+jJ0PY+fD2Tkynbqxy85HsPOR7HwkOx/Fzkex89HsfDQ7H8POx7Dzsex8LDsfx87Hs/Px7HwCO5/Aziey84nsfBI7n8TOJ7Pzyex8Cjufws6nsvOp7HwaO5/Gzqez8+nsfAY7n8HOZ7Lzmex8Fjufxc5ns/PZ7HwOO5/Dzv9j5/+x87nsfC47n8fO57Hz+ex8PjtfgHoemuEVtYCdL2TnC9n5Ina+mJ0vZudL2PkSdr6UnS9l58vY+TJ2vpydL2fnK9j5Cna+kp2vZOer2DkSs9ZBuVaz89XsfA07X8PO17Lztex8HTtfx87Xs3Nk1WHj8lTfwM43sPONBs+j2fkmQ99HQqrpw2aD5NOf10h1P2+Loa+fkTK6bkU95YMG5Jf5e3Cli3rmwkhHesod2I56NscPIPVzDYPw6Z1ddhr6vhMSs/QZXrsM0s+ZUM/P+KDdqKecuCPVfGkP6rnrNf4G9axcOylir0HrXp4IXIbML3/hPtRTPc9CPeXjwf2YD8jHcPvZ+QF2foCdH2TnB9n5IXaOPNgWM6LDqKd8fIK8PQc7cMTg6wvU81SxDFWPGiRv+15HekeFVa59DPWcNKHp3WPs/LhB8innY2TJmviEE+ibuFx4iVT3m06ib4bgCgIpy935lEH6eQ36JsrT6zT6ppwmIuXuDDiDvqlu2KNv4tcPO2uQ/NgUpHoecg59Uz1ARN9c+HzuJKQ82n4X0DdlgZFylhZ0EfMm+QPIwxj+YZfQN+WNYeTdY2+xReib8kAgf3zFjl4xSA0bpJ7noZ7yMCPl4ctzDfWUhwWp7oNfN/i6y9D3UW6gb8rdRsrdKXPTILWZSHV/5xb6pvxYpLqOu42+KQOpn5sZVFsOAOSLubLA6JtyB5Dq+uYe+iaq/hapnt/cR9/EcP2MlMOw+wN2jqysPsggjNocv5Ht5MT3EfomDl8SUj2Wfoy+KQvyBH0TZZyAVPfNnxr6Pg5SDbxn6JvYzDnIZrJwz9E3u8oNQ9+UE+8Xhp5/I9X130tDXy8i1f26V+ibcgdesfPXBqnhj1TPMd6gb8qBgpSjothb9E05vJDq+vYd+qYcDkj1PPw9+qY8fO/Z+QeDVLmRHeQv/MjOkfo5Bzv/xM4/s/PP7PwLO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/yc5/svModh7FzqPZeTQ7j2HnMew8lp3HsvNf7PwXO49j58hO6sBifiTbDFJd98ejb8q2gJRR5I9BivEfdp7AzhPYeSI7T2Tnf9n5X3aexM6T2HkyO09m5ynsPIWd/2Pn/9i5i6mdI5VzV1M7RyrnbqZ2jlTO3U3tHKmce5jauaepnSOVcy9TO0cq596mdo5Uzn1M7RypnPua2jlSOfcztXOkcu5vaudI5TzA1M6RynkqUztHKueBpnaOVM5Tm9o5UjkPMrVzpHIebGrnSOXcZmrnSOXcbmrnSOU8xNTOkcp5qKmdI5XzMFM7Ryrn4aZ2jlTOI0ztHKmcR5raucPUzpGqPIapnSPVwDNN7RypnFumdo5UP+40tXOkcp7G1M6RynlaUztHKufpTO0cqZ9Xmto5UjnPYGrnSOU8o6mdI/W6F1M7RyrnmU3tHKmcZzG1c6RyntXUzpHKeTZTO0cq59lN7RypnOcwtXOkcp7T1M6RynkuUztHKue5Te08j6mdI9UwzGtq50jlPJ+pnSPVYc5vaudI5byAqZ0jlfOCpnaOVLtdyNTOkcp5YVM7R6qPLWJq50gVRU3tHKmcFzO1c6RyXtzUz3uQynkJUztHKuclTe0cqZyXMrVzpHJe2tTOkfr5kamdI5VzYufEzsuw8zLsvCw7L8vOy7Hzcuy8PDuvwM4rsPOKJr1eKZpOqcjOK7HzSuy8MjtHrpvf+UBEFZPy5Xp4aSny5LkKT51V2XlVdl6NnVdj59XZeXV2XoOd12DnNdl5TXZei53XYue12Xltdl6Hnddh53XZeV12Xo+d12Pn9dl5fXbegJ03YOcN2XlDdt4I9Tz181o0Ut03box64o/xyJryQWYTdt6UnSN/y+VJzdg5Ut+HZudIdV+pBTtHVnzq3BLW0tT3Z5Gt/ZJumK3QN1d3fb0SKVd/pW9tks/tSl4bkOp5dxvUU65KQ6rndW1RTzng2rLzdqgnNvdQO3benp23Z+cd2HkHdt6RnXdk551QT0d9n9ud2Hlnk55XwZHuzM67sPMu7Lwr6rnp68C3SHVfrRs778bOu6OeXqhkd3bew+TnWOibKOfgnibfnzdJ7v6oXuy8NztH7jmDDepj6vu/SLX+oq+p7/cjP8nH6v3QNw+V27UQKfk5+pv6eTvSkjeiB6BvhqUkrEUW2dE9IMtA9E0M2y3IunIHB5n6PjSyh3wQMJidD2bnQ9j5EHY+1NTnc6Ra9zEM9ZQgkOq50XCT5G7dQMbI5SIj2DlSPWcYaerne0j5x5ajTH1fHqnWI4xG3zSx4cjm8i/GmPzcAn3z7ZULvceapJYHIv+z4QCMM/XzOqRatzXeJDl8XCaY+jkIsr4cSBPZObKXLMQk9E2UfRZSPReejL4pFzhMZudT2PkUdj4VfVNuEFKtb5qGvol/tgmp1mFNR9+U65CQ8rFuvhnom3KdGTKb/IuZJmEUjzmCVM8jZqGeGN6nkHLYlpuNvjkQO4hUz4XnmCSHzzXkvFIY6P+hb8oFbUh5GBvONfXzVqRaNzPP5Oc5JskytZ2PvikHHFKt21hgktzcr8hIuUEL2flCdr6InS9i54tNkkxTkF3khi9h50vRN9/H1Zi0lJ0vQ9+Uy+yWsfPlJsnhOHc5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw86RV7Fbhdayc6RaF7kOfRMffwIp/1mZ9SbJP55DGvLAb0DfBNMrSMmvxkZ2jpRc6m9i58hucoBsRt/EsH2OlMOx9RZ2voWdb0XflAMdeVQuO9vGzpFqveF2dr6dne9g5zvY+U70TeyW2y7Mj2TBdrHz3ex8Nzvfw873sPO97HwvO9/Hzvex8/3sfD87P8DOD7Dzg+z8IDs/hL6JYXEAqdanHDb183LkGhwecYTP50fY+VF2fpSdH2Pnx9j5cVM/9zrOzk+w8xPs/CQ7P8nOT7HzU+z8NDs/zc7PsPMz7PwsOz/Lzs+x8/Ps/Dw7v8DOL7Dzi+z8Iju/xM4vsfPL7PwyO7/Czq+w86vs/Co7v8bOr7Hz6+z8Oju/wc6RIVPMQsVusvOb7PyWScdqde5+Bln144ORFW6b+vnjbXZ+h53fYed32flddn6Pnd9j5/fZ+X12/oCdP2DnD9n5Q3b+iJ0/YueP2fljdv6EnT9l50/Z+TN2/oydP2fnz9n5C3b+gp2/ZOcv2fkrdv6Knb9m56/Z+Rt2/oadv2Xnb9n5O3b+jp2/Z+fv2fkHdv6BnX9k5x/Z+Sd2/omdf2bnn9n5F3b+hZ1/Zedf2fk3dv6NnX9n59/Z+Q92/oOd/2TnUew8ip1Hs/Nodh7DzmPYeSw7j2Xnv9j5L3Yex87j2Plvdv6bncez83h2/oed/2HnCew8gZ0nsvNEdv6Xnf9l50nsPImdJ7PzZHaews5T2Pk/dv6PnbtY2jlSOXe1tHOkcu5maedI5dzd0s6RyrmHpZ17Wto5Ujn3srRzpHLubWnnSOXcx9LOkcq5r6WdI5VzP0s7Ryrn/pZ2jlTOAyztHKmcp7K0c6RyHmhp50h1Pk9taedI5TzI0udzpDqfB1v6fI5Uzm2Wdo5Uzu0Wr5+ytPMQSztHKuehlnaOVM7DLO0cqZyHW9o5UjmPsLRzpHIeaWnnSOXcYWnnhqWdI183+OzqZVraOVI/D7a0c6Ry7rS0c6RynsbSzpHKeVrUU65TRirn6SztHKmcp0c91UIWSzvPYGnnSOU8o6WdI5XzTJZ2jlTOM1vaOVI5z2Jp50jlPKulnSOV82yWdo5UzrNb2jlSOc9haedI5TynpZ0jNwxc3L9nLks7RyrnuS1eb2Vp53ks7TyvpZ0jlfN8lnaOVM7zW9o5Ui3zKWDp9YpI5bygpZ0jlfNCll63jVTOC1uklm0jMxy4cSdrEdSzRqn3W5Gl5IKhoqjncIffHmRjdeKx9DoiZL9yHcuUKI56Pr1X7wRSOS9haedI5bykpZ0jlfNSlnaOVM5LW9o5UjkXlnaOVM6JnRM7L8POy7Dzsuwc2fZrzhl9y7Hzcuy8PDuvwM4rsPOK7LwiO6/EzpFNUcXAyhbJ0+gcpF4PhXp6Ne+6EDlr+ZXhjqqWXieOVOtBqqGecjkmUi73yVzd0utNkOp1lxoW4eScvBOZKA9TTUuve0CqstayaI18fQip1mvVtvT5HKnO53UsfT5Hql9T19LrXpCj5LfrWXo9NhKj63uj+qin/AZSreNoYJF6XQh5E0e5fUPUE3vzEamWszdCPdU/RD3lAp3Gll5/g0yD4TGwCeoZL1+oQj1lAZqinpnxC5BqPWEzdt7cIlmuKcgklCGgBfomdm8WMkxtiKXXDSLVOqBWll53hqxuk28QsHOkWkfVBn3zEb6BHNNbvjnEzpFqHVs7S6+DRarh294iOSyPINV6pA6Wfi8BqYZHR4vXOaNvygJ0skgepmtItb68M/omynoHqcrVxdLrL5F63b+l1xsi+8jN6Ya+KZf5I9U/726Rer+pOzvvgb4pNxiJKuIb7Bwp2QztZZGctSUj1fqx3uibS7FjfSwKkv8QuQLDza8v+qYa4Oy8HztHqvXA/dE31S+wSJbfHMDOkXqdNDsfyM4HsfNB7HwwOx/Mzoew8yHsfCg7R8oqlhlmkfzpc0j13ttwS6/PRaphPgJ9U+4YUq+/t0gOtwdI9V7eKPRNDI/nSHXYR6Nvyvd8kGo90xiLZPk/IyvLso616H49OVLY+TiL1x9bej33ePRNbM5fpPo1E9A35YCciL4pv40UqqDom+A6bRI7n8zOJ7PzKex8Cjufys6nsvNp7HwaO5/Ozqez8xnsfAY7n8nOZ7LzWex8Fjufzc5ns/M57HwOO/+Pnf/Hzuey87nsfB47n8fO57Pz+ex8ATtfwM4XsvOF7HwRO1/Ezhez88XsfAk7X8LOl7LzZex8GTtfzs6Xs/MV7HwFO1/Jzley81XsfBU7X83OV7PzNex8DTtfy87XsvN17HwdO1/Pztez8w3sfAM738jON7LzTex8EzvfzM43s/Mt7HwLO9/Kzrey823sfBs7387Ot7PzHZgfSVg72PlOdr6Tne9i57vZ+W52voed72Hne9n5Xna+j53vY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnR9j58fZ+XF2foKdn2DnJ9n5SXZ+ip2fYuen2flpdn6GnZ9h52fZ+Vl2fo6dn2Pn59n5BXZ+gZ1fZOcX2fkldn6JnV9m55fZ+RV2foWdX2XnV9n5NXZ+jZ1fZ+fX2fkNdn6Dnd9k5zfZ+S12foud32bnt9n5HXZ+h53fZed32fk9dn6Pnd9n5/fZ+QN2/oCdP2TnD9n5I3b+iJ0/ZueP2fkTdv6EnT9l58/Y+TN2/pydP2fnL9j5C3b+kp2/ZOev2Pkrdv6anSPrVlk+OvMb1FO+H4nsPnjo+pxvLUpI/fngTqRel8rO37Hz9+z8PTv/wM6RDwv+LFrhIzv/yM4/sfNP7PwzO0fqdfPsHFkmut21Fl/ZObK5fP3mm6Xfa/rGzr9beh3+d3b+wyJnWNcasUj1/vpPdo688Gz/+OFRqGf/jAv/IdV7DtGo51rXY54xFv0t3vvGZOSUOy9e+ceinviYmUj517ZfqOfi7BHzkSfy4j/iLFLvkyIfy9f6f6Oe8kVtpHw9IGO8pdcLIwPlP/hj0dIGK7duR2b7nupE3gR2jixnfn1TOJGdJ7Lzv5Zen/6XnSexc6R+n4CdJ7PzFHaews7/sfN/7NzFqZ0jlXNXp3aOVM7dnNo5Ujl3d2rnSOXcw6mdI5VzT6d27uXUzpHKubdTO0cq5z5O7RypnPs6tXOkcu7n5Pc7nbyO26mdI5XzAKd2jlTOUzm1c6RyHujUzpHKeWqndo7U71k4tXOkch7spE0YxueQyrnNqZ0jlXO7UztHysNfL8RJ6v175ITht/Y2CXWSLURceIbE0XzUKgz1lAcQqd4DCXdSpb4Qg7zv2zl99wjUc/WDgj+R0FCpbyTqiY+JQ/rJF7scTv1eCVK9f2ignvL9chP1lAMWea0FRpqFesoXU5FyuKdyOkkO49lIN/mCRRrUE8NuIVIOJ0da1BPDZDmyiHwBOR3qKV/LRirn6Z3aOVI5z+DUzpHKeUbUU24AUm5+0UxOfs/Lqd/nyOwk+TFnkMp5FtRTbihSsq2WFfWUoJABcsBmc5Lkcw+pnGd3kvr/QyCV8xxOUq/PIJXznE7tHAldYV1zObVz5JyR+ODcTu0cqZzncVIxlDcBqZznderzeT6nPp8jlfP8Tu0cqZwXcGrnSOW8oFM7R6rzeSGndo5Uzgs7tXOkcl7EqZ0jlfOiTu0cqZwXc9KB8Rg4SOW8uJPk4T+MbCk/uIRTO0fKw1CupJO85ABDKuelnCTLcQ2p3s8s7aQS8kUjpNysBsJJDeVARL6Vr7OQU7+HhEzpgA0t46RpyfgPJKrv27msk/BbzK9I9Z5+Oad+rxGp3msq76SnGMbxSP3eoVO/D41U72FURD3lgankJHn4JyJzyA+u7KRDOFzTkfIwpK7i1O+9IVvLA1gV9UQ5FiPlbprVnOSDzV+JlJuVvrqT5K9bj9yFj8law0nyr7cioXV37ppOaiz/A/le/u8wajlJMjuIdJEDorZTv8eDVO/b12HnyEISXl0nyWF3BSmHU416Tv1+Vj12Xp+d12fnDdh5A3bekJ03ZOeN2Hkjdt6YnTdm503YeRN23pSdN2Xnzdh5c3benJ23YOct2HlLdt6Snbdi563YeWt23pqdt2Hnbdh5W3belp23Y+ft2Hl7dt6enXdg5x3YeUcn/Q9itA0g</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="280">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0j1KA0EYgOE9gqWlB7DXSrYKKa3sbaxSKAZBCCSNYinYWYScQS8QIQcISZXGA+QUwn77BWZRC0kjPE/zMsvMzuxPVQEA7NH8ot7L+kmvvE93/N/89XlyXnZ5Gz0fRQ9fosev0eF708nZR4ynq6bz7aZp/Ryt+uuY97mI8clbdDCNnj6057uJzq7KVpflubL5/WZ35fx68P26vH9ez+72aXXHuc/1fTTfy8FTu/4xejQuz/XT/9k9f/c6AAAAAAAAAAAAAAAAAADwqy/wkDwb</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=188.056 Q3=58.000 sample=32 experiment=1 RT=4.11 ce=-45.00 name=N-acetyl-L-glutamic_acid" defaultArrayLength="2265" index="58">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="188.0564" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-45" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="58" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="80">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztz0ENADAMA7FC62PABn0wprQ2gFNSBQAAS9zTUd1fUv+k7gYAAAAAAAAAAAAAAAAAGOABzOkEEQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=188.071 Q3=144.081 sample=32 experiment=1 RT=1.31 ce=-15.00 name=3-Indolepropionic_acid" defaultArrayLength="2265" index="59">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="188.0713" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-15" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="144.0813" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt3GVg1EoUBeC6U9rd6iZZ3N2dubi7u7u7uzs83N3d3d3d3R0qlNLSlndm5vbPeZSyTW7mu5kkk1fL+LRvTM1qYszLxW9/RjcXOx61GljL2VEsPR2TuOFsD1H+/hkxal9fcaRKgFuOSQPF3mExu2p3GyqyR5Xol1RqpKCmUzpOmzNW5DTOTrkfMFE0HLHjQNtRU/jzposit7q4Ly88W1RX35jDn7NAZLMV69rXuVQsfNLhzuH9K8WJZd+GBI9eI/JW3+BXMdN6Ef7fhvrLRmwSj2PTu2TKsU1U/57/87MnO0XGGpuL/o3aLa40+tmid+xesW273OADYob7mTbDtx4SBdTXUfGk7TqPL0eOC7rs1612ulPiRmSdJ8bw02L8iutbbmKfbD/tjqV5z4l9TeIOP5l6XjQ896CJ4/0F8Sf3oYQm4pJYslh+XRYlPYYVexx7RURPjvedUeOaGPW41JDGm66LdOXTRC5yuym6v7v+K1PuW+L44hPnKjy9JQJr7ZzXYfJt0dJjVfsJhe6InYdnF1z/5o5w6TXG4/ysu2LStbED+1e5J8IP3nZ54XZfbFqddlqlY/dF0em9QncPeCAuDzyx0pHnoah172TwlU8PxasTgcsKrHkkem9ukXl5s8fCdd62XV6hT8Sk6O3pD9x4IsKfJW1LM/mp2HShWpEpZZ6JoruX4Mg9EyflP9v3XNRK+HLcv+cL8eptscoDsrwUHcuUOJLx9UvxN7RC+ko1Xon6dbOsmrLrldg+09d5zf5aeF39ujRw0GvRyltW7LUoMGLKtAOl3ojph7v5Jqx6Iz7E1ZhUwuOtEPnzeo7s9FYs6mkbd+rKWxH/rs3qBwXfiUbNdp/8tuKdKLkoy5eXPu9FuvvLQ+72fS/GVJMH8L3oOLldi2cVP4iq5x9Purnrg9hSItuG946PYtbglbcejf8ofv6QXx/FvRwdIt80/iQKrtlX5M+ZTyLiZfa2X3N+FoMbDB3tuvCzeOlZRHz1/iIqHohNvjf4i9jWcdexE5+/CHt4j2Gbmn4VcS7uufdf/SrU5pT8JuTomLz9G4+772LWmbiszWd9F7/77vlYweWHaJGh14Y8fX6IU6Plhv4QGV9kKVi4zU+RuoH/v6TbP0Wpgdlju2SNEjFlbna83ylKhFqX34t1UeJs+y2t69+J4rpHifpv1y89lzZa3F14qPPTctGibvWrhWI6RgtVhhnRIs2v7iASLbqoAkSLZZ+rNd/3PVpUObP1jntAjCie4rxZJnuMuJVme/m9FWLEtjITgka0jxGqbONiRIcJhTYFrYkRKeUSv389FSOeSj4vY8TBSVsmjEqJEXM3j61TxYoVe3L3XOtaMlbMrF2x19WmsQI7XWL+kFhR/8TQn2OXxorRPb5ka3U8Vhyu+KJ6qzexIjbNnV6tvH+JXs0fR9TM+UtsKnS9RM06v8SbwNMtaw78JVSbWPpLNDi9aV3NU7/EzCXLLtZ8/0v4PVzbu5RfnPglmeaME2nlx9SME34YTXG94kSN8akgIk7M/lJzapfDceJe7dnnM7yIE31uH5i0xfO32HrzfsNveX4Lxajpb/GsM6SM/y1CO6UpfXbHb1GrQ+lUno9/6/13j9fHMVe8SGq1dOiVRvGiUEt0lLHxeru3xYtNTf98nPUgXqyKc8/31uUP948/wi4PXIM/4tx02Sj+iALndqNCf8S7lv3SdbnyR8xPKBjSPvqP8Mj3dnTviASx/+q6ft1EgnbYOUHM+pj2/vJ5CeJW4phFfU4liHp9fr8u8C1BFI7pmGgLTxTNHnxZ9KpMohhzpGeRHd0ThSzDjcWJIkOm2g+/X0gUB0vVz5UUmyh8YssnG+n+isaqwH+FYj3sr8CHYOD+FdUueZdaev+vePnKf+5mtySRd0FS28t5krSf5kniDrqG79Qk8aru0erFDyaJfD7bzKbvksT5tLv6dg5OFmp4l0gWik37ZM10ZrLYv2HIxWxHkoXU8+R9skj+PeDVsuAUIUfBoDIpwnGqWdoyfVJE1YaNx/mtThFoJq3f30oRy0b8CTjq9k9E/6raZGLRf8Ldd2qadj3/icebr21cveqf6PHx7+boO/+4H7rQ1aaWvWSEC+Wr6zbgeW4Xinv6cEy/ii50qAM6TEsXGobRt3KAC5VGFy00w4Vazne2PrXehZ7/e3Kv3gkXOpw06dfThy7UpxRGVpQLZR0pO48rqT6Y3pWUs+KudD06fnBgXVfCb1uUpasrpf4wJbHIWFdSfXipK0m1Vfe50oC5ER4Nb7iS6tufXGmcX7rESy5uhMHlcjjcjZbkqlh1VW43avDhbu3ZFdxod+1uSwY1d6PLSwGzvxtvpxvZ1h8/Hb7BjSaNzemMPuFGh2jsm4uP3Ohonw7tika7kVWo2Kzlfu6USp7oMrjTLTmsS7jT3FY5E87XdaeGn129mnd1p8Gnr99MHONO8Tmmlp+5xJ0GLqh4ON1ed9L9yp1uJ++sUeq9OwVUqZf9Roo7fargUrVhhAdlmLM288d8HvRvBkBX8yB51kru4EEzFqIBj/agTAPclvgs9aDjdRekm7nfgxrkzb7ZfsuD2uTHf332oJ4FRx8kN08aWnhr6UaGJ0XfRIMp4Em+xoqW2ap50hfZhtp4UvfcOMMO9qQfQd/et5/lSTfLyA7tSXUy9r337pgnyY/bfNeT9svh9cWTFnQ+EJHN1Ysiqo3c/S7ci+JPFo6bl8eL7g/+nDlfZS9S/bC1F+WVA3aoFwXIAz3Xi+RZpf52L1LngwteVFa2uVdedHyQLJAXoVtBpDeNTumcaUkub9qycXjciwrepPpHS29KSVg7v/NAbwrs/4Q2zvAmM7//k9vrvaneq0Ef/hz1JjlZyHrHm9Lh7Frrkzc1Lrbv0sAUb1KOQ3zo4vwZr89l96HVu33LxQsfOoWzRM76PjTSKtqpfBcfPR5H+lDJNyPKtpvrQ/Ks2WAz/h57We2ED8k2SHd9aGMqbMBHH71/iT601B8HLtCXVJ9O70tB8hcX9qVj2Uvh1OJLnZPpWtHWvqT6QT9fwkkHndCXCqsJjy+pvrnTl0Y+SH1u+llfipPsHvhSqj7bpj395EsZF/6bPfKvL/8eP9qbb1nj62n9SJ5FhxTwozLXiqY1K/pRiWprn81u4kfFM1QdNq6XH6l2PN6PcPIeVmyxH911Dzh0bwd//5wfdZlnoIJ+lDCspPfmH36k+60/qT4b7k9BgW+bVcjpT12elsPsyZ/Sxi/BFvjTkHN/x1/o6M/H15+mbN9b8MoMf1LzrtX+pOZB+/3pxIeyd+Zd8ad/6WTn8Sc5nEr+9qfPB3e6fwwIoNkN1zxumzGAJKMrJQMIkzUM3QB9/HsEEA5Kr6gJAaTmpysCSM5ClxwMIN2nAujaj8tny34PoPX9up1c45OKRsq2lTEVqfmoSEV53GrvOdM0FfnIidPAVNrlf6lIHe6dqUidf6+lontLPlgbP6Wir/J05RVIrpJlxkAa4fDbM7h8IC1vhplT20DS89VAeiWnucsCyU1NZAMpw7zbT/c8CKQKcy7VmRsbSL6yEEGpSQ7DzjlTU7G05oWDVVOTnDXbOuPPf6MiB05ITZ9moQBrUtOuhXNL5TmTmsahzZR+nZowu6ibxSWISE4Qg4No46fKuf+lC6JSaqISRJhc3+pSLoiW1MUJqV4QyTYe3S6Ix1cQbU8zOdJ7fBDdzVqkfdi8IMqG2Lc2iAIXe37/tCeIzt7FROtMEA0JrPu8yu0gvV+vggiT9LDHP4KoErrTquQgvf0BwbqvGcGEk+Xk+GzBuj8VDabO6bsPHlohmCIy1/NcWzeYDmwG2JbBNL7+oLrVuwVT+kdXL68YFEyy/ceNC6aZXlFhlWcH09Hnh/bkW4bPwfTC2BRModOrfvHYF0xl29kn/jgZTL2LP0v36GowLQ9GA34YTIcxq7r/JpjkX4/6Hqz7eHwwqfmvq43KYnr20c9Gat5ut+nxZNooD6ZDxzLZSJ13c9uonjx9FrbRiLgXmEnaaPCHP8NKVrLRmhQ02Fo2WvFz44VqjWy0RE7rW9poAdpF1442alto3Pu4HjY9rgfYaG8AYA6zUeGS6LxjbHRETpMn2bgv2Ui27d1zbRSK2d+xxTbtZ6WNvvnNHnZ9vY3I3ubs3a02Old2e5cXu226jx60kZzd/DxuozRbwlISztroch45EbBR//2hf6/esOn+eA/fPxXyZ/ljfL/ivN9eL230c92iBd3e4fsYfY8+26i8HFA/8fMt/ova8stGi48umJ060UblyoTNGvzPRj8uoBF62OnuC0w4fO00+eauHBRo1+PLZtfHLdxOat5o2GniumyYmtnp4+56i2tlsBNO+icLZLGTav857DSifWu/pNx2etFn6sx3+e3c/+xUtvSnx9uK22ldNVvL+aXt9CDf6XFDytrJJwJXNhXtpOa9Ve26r9W0k5rGNLDTw0vyRGyn9TVRqXZ2Kocy9elqp9eYHo3tY6dRXY/1nzvYTtWjWq/YNMqu3U60cx+yU8MCjVu+nGenX3PGZItaaqdkOb1YbSc5y3u5BZ8vp68H7bRsJSaMZ+2Ur/+/bvVu2gnNMv/Qp3Z6FIWJzwc7n+fttDLm/rDwJDupeb1XCMn20SsohH40xR5GhujtzBBCzeQO5wyhYDkwCodQfO39UTdFCGFWf75ylRBqJycydUPIkXNnr+LNQ0jN9zuE0ET71sicvUL4PBxC6eXX2BB6FIqOOy2EZsnLtPkhVCHZWD19RQjJ9uG5KYTkaWnk7hBSp4cjIVQjdma9/udCyOPj9Kzfr4fQETldeBhCvW9MvvPiVQhlOTNxY6MvIfR8//jht2JDSF03JIfofu4VSnnkZXBQKL3fGp/7UGSork+GUKqLYbU5Z6juo4VDSV1OiFAa0PN7o5Aqofp2QN1QCpYDoXkoXewNMR1C9bjoGUrycPQfHKrnG2NCaZWQ/yKUj1MoBWTBf60IJXWdtTGU1DR5dyi1ynY16OKRUFLXXedCSf7p0PVQklfV+R6GkrpceBVKEa5Zm7T5HkqX3gT/tCeG8v6E6fOjPYye4KozR9owwiip+CJnmD5PFgujY562EFExjNR8tm4Yqcu7VmF0YwsuULqHkZqGDgnTfWRCGL2shZnXf2E0O9+gXOlWhrHjMFLTu0Nh1Fde+J8P0/O222Gk+L8IY49htO/76q6v/4XRb1ymjA4KJ3Vdni6cHo7EmSNfuN7uiuH09U1hTM3DaUbW76lO9A6ns/KydWw4Yfa1pfW8cMo9e9WffBvCCRern1IOhtN0l3nbdl0IJ89Lx3HGDadRcsLzPJwSGgY36/Q5nORlYMKvcMLs7uY0lwjqKC/8AyLoZf9D5XaFR1ATOeHJEKHnB7kjSF2+Fo+gC//hhFkhgtQBrhNB8rRgtYigAnKi1TmCtu/yCi3bP4IyD85b696oCD6uEeTwHn/2z4IImntje/LUNRH0vCcu1HZEUKPCGOmHI/R893wEqcvhWxGkrs+eRVBpebn0MYIOGvjJ2AhSl2X/IujJ7Uy+O/0i9fwhLJJWFEPjSBepj3uuSFKn3aKR5I/2OqF8JE1otN47onYkyfaypVmk7vOdIilG3j7pG0ndBqBzjIyk9yVxgT8lUvf1+ZGk2t7qSD3et0Xq65pDkRT29ypmGpGk7h/cjCR5OfTjSSSNq1Nl+egPkZQU0e+hLSaSoHhnr8RIkncNLrk5aAsul9L6O3gcOmjzKMwUDAdhq1Nlz+igjflXThyb06EdFHTQg4AFD4uUcvB1iYPU7aAaDqq/uFa5Mg0dhNk+Zu4OGtsPjb+jg1zlhXYvB43JDNiDHOQiv0Y79HXPZAflfvK79v7ZDtqBtphqsYNyzehbruNqBz2bkcM4u9lBzTphBrjHQU/kjPaIg9S06oxDXx9cddBktM0xdx2kbgs9ddCkjY2u5H/nIK8x88tN++aguEz4DVEO2rcWDT7OQbiqrno+wUEF5G6lOEhfHxr0+nTJOv+8DD0+/A2a9S4mzZ3Uhh4/IYbuexEG5ZA3PiyDHPK2XTqDHt+Ir/c2k0GLqmOGkN0gdf8rt0Hy7oZVwKB7XsV7rEK2wVkgQ0GDfhTChBo5/PqEddkKGeTb4deBbUh1OV3Y0PM05O4c+NEihp5HINVxLmpQk5hpmU4i5WVl2WKG3h+k6+GHzSsXN0jdV0Gq+yIlDH08kWoeX9Ig+XEPkXXkBpYy6MVzfCHVeCttkJyevkOq86kwSF7GfkGuuosdIYNyyx9E4qda9itjUGU5wUPq86ZB7eSEAKlOe+UMPd8tb/C4R53k7bcKBmU+2ThmGnJvw4seqSsapAqDlGUJrWRQM3kBjVTzr8oGyc1bgXSXN0aqGCQ/bh1SXWdXNWjrFnwhi5aNPJ6rmkHqNh5S3Q+pbtArHxQa2UPuSA2D/hbBDyLVvKKmQeq+DlLPswxS9zeQx3Nhh2sbug8gHzXHHtcxSB62+0h5OBrXNWi0PHDIVLIw9Qye9xqUFbvbob5B+7Ebn5By87o1MOgWfu0PZAtZwIYGyR/7hRwkvxoZ5ClvHCDV7ebGBsnTiEsTjMf7KDSyuNyRpgaheh+mIBvIGyLNDHpTADM4pBx+9uYGJWNYLUBOxXCJbGGQupxDrpfTpZYG5cdhW4OUhyNTK0PPV5DqfNTa0OcvpNzdfG0MGovd2IdU9zXaGqTuwyCzywK2M+ggfuw0srz8am/Qnad7Gl5EtpIDtYOh55fIobLQHQ3yljuClMO+YSeD5HB+jNyJYdq8s0Hqfi1SzTO7GNRI7jBS3R/rapC63YVU9x+6GTQdhyMGKcs8oLtBG1G+P8iC8hf3MEjubgqylgTS06Bn2DyPXgap+55I+XF+vQ0ajx+bgQyWX30MknznIXPKgdrXIMltSV923o+d92Pn/dl5f3Y+gJ0PYOcD2flAdj6InQ9i54PZ+WB2PoSdD2HnQ9n5UHY+jJ0PY+fD2Tkynbqxy85HsPOR7HwkOx/Fzkex89HsfDQ7H8POx7Dzsex8LDsfx87Hs/Px7HwCO5/Aziey84nsfBI7n8TOJ7Pzyex8Cjufws6nsvOp7HwaO5/Gzqez8+nsfAY7n8HOZ7Lzmex8Fjufxc5ns/PZ7HwOO5/Dzv9j5/+x87nsfC47n8fO57Hz+ex8PjtfgHoemuEVtYCdL2TnC9n5Ina+mJ0vZudL2PkSdr6UnS9l58vY+TJ2vpydL2fnK9j5Cna+kp2vZOer2DkSs9ZBuVaz89XsfA07X8PO17Lztex8HTtfx87Xs3Nk1WHj8lTfwM43sPONBs+j2fkmQ99HQqrpw2aD5NOf10h1P2+Loa+fkTK6bkU95YMG5Jf5e3Cli3rmwkhHesod2I56NscPIPVzDYPw6Z1ddhr6vhMSs/QZXrsM0s+ZUM/P+KDdqKecuCPVfGkP6rnrNf4G9axcOylir0HrXp4IXIbML3/hPtRTPc9CPeXjwf2YD8jHcPvZ+QF2foCdH2TnB9n5IXaOPNgWM6LDqKd8fIK8PQc7cMTg6wvU81SxDFWPGiRv+15HekeFVa59DPWcNKHp3WPs/LhB8innY2TJmviEE+ibuFx4iVT3m06ib4bgCgIpy935lEH6eQ36JsrT6zT6ppwmIuXuDDiDvqlu2KNv4tcPO2uQ/NgUpHoecg59Uz1ARN9c+HzuJKQ82n4X0DdlgZFylhZ0EfMm+QPIwxj+YZfQN+WNYeTdY2+xReib8kAgf3zFjl4xSA0bpJ7noZ7yMCPl4ctzDfWUhwWp7oNfN/i6y9D3UW6gb8rdRsrdKXPTILWZSHV/5xb6pvxYpLqOu42+KQOpn5sZVFsOAOSLubLA6JtyB5Dq+uYe+iaq/hapnt/cR9/EcP2MlMOw+wN2jqysPsggjNocv5Ht5MT3EfomDl8SUj2Wfoy+KQvyBH0TZZyAVPfNnxr6Pg5SDbxn6JvYzDnIZrJwz9E3u8oNQ9+UE+8Xhp5/I9X130tDXy8i1f26V+ibcgdesfPXBqnhj1TPMd6gb8qBgpSjothb9E05vJDq+vYd+qYcDkj1PPw9+qY8fO/Z+QeDVLmRHeQv/MjOkfo5Bzv/xM4/s/PP7PwLO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/yc5/svModh7FzqPZeTQ7j2HnMew8lp3HsvNf7PwXO49j58hO6sBifiTbDFJd98ejb8q2gJRR5I9BivEfdp7AzhPYeSI7T2Tnf9n5X3aexM6T2HkyO09m5ynsPIWd/2Pn/9i5i6mdI5VzV1M7RyrnbqZ2jlTO3U3tHKmce5jauaepnSOVcy9TO0cq596mdo5Uzn1M7RypnPua2jlSOfcztXOkcu5vaudI5TzA1M6RynkqUztHKueBpnaOVM5Tm9o5UjkPMrVzpHIebGrnSOXcZmrnSOXcbmrnSOU8xNTOkcp5qKmdI5XzMFM7Ryrn4aZ2jlTOI0ztHKmcR5raucPUzpGqPIapnSPVwDNN7RypnFumdo5UP+40tXOkcp7G1M6RynlaUztHKufpTO0cqZ9Xmto5UjnPYGrnSOU8o6mdI/W6F1M7RyrnmU3tHKmcZzG1c6RyntXUzpHKeTZTO0cq59lN7RypnOcwtXOkcp7T1M6RynkuUztHKue5Te08j6mdI9UwzGtq50jlPJ+pnSPVYc5vaudI5byAqZ0jlfOCpnaOVLtdyNTOkcp5YVM7R6qPLWJq50gVRU3tHKmcFzO1c6RyXtzUz3uQynkJUztHKuclTe0cqZyXMrVzpHJe2tTOkfr5kamdI5VzYufEzsuw8zLsvCw7L8vOy7Hzcuy8PDuvwM4rsPOKJr1eKZpOqcjOK7HzSuy8MjtHrpvf+UBEFZPy5Xp4aSny5LkKT51V2XlVdl6NnVdj59XZeXV2XoOd12DnNdl5TXZei53XYue12Xltdl6Hnddh53XZeV12Xo+d12Pn9dl5fXbegJ03YOcN2XlDdt4I9Tz181o0Ut03box64o/xyJryQWYTdt6UnSN/y+VJzdg5Ut+HZudIdV+pBTtHVnzq3BLW0tT3Z5Gt/ZJumK3QN1d3fb0SKVd/pW9tks/tSl4bkOp5dxvUU65KQ6rndW1RTzng2rLzdqgnNvdQO3benp23Z+cd2HkHdt6RnXdk551QT0d9n9ud2Hlnk55XwZHuzM67sPMu7Lwr6rnp68C3SHVfrRs778bOu6OeXqhkd3bew+TnWOibKOfgnibfnzdJ7v6oXuy8NztH7jmDDepj6vu/SLX+oq+p7/cjP8nH6v3QNw+V27UQKfk5+pv6eTvSkjeiB6BvhqUkrEUW2dE9IMtA9E0M2y3IunIHB5n6PjSyh3wQMJidD2bnQ9j5EHY+1NTnc6Ra9zEM9ZQgkOq50XCT5G7dQMbI5SIj2DlSPWcYaerne0j5x5ajTH1fHqnWI4xG3zSx4cjm8i/GmPzcAn3z7ZULvceapJYHIv+z4QCMM/XzOqRatzXeJDl8XCaY+jkIsr4cSBPZObKXLMQk9E2UfRZSPReejL4pFzhMZudT2PkUdj4VfVNuEFKtb5qGvol/tgmp1mFNR9+U65CQ8rFuvhnom3KdGTKb/IuZJmEUjzmCVM8jZqGeGN6nkHLYlpuNvjkQO4hUz4XnmCSHzzXkvFIY6P+hb8oFbUh5GBvONfXzVqRaNzPP5Oc5JskytZ2PvikHHFKt21hgktzcr8hIuUEL2flCdr6InS9i54tNkkxTkF3khi9h50vRN9/H1Zi0lJ0vQ9+Uy+yWsfPlJsnhOHc5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw86RV7Fbhdayc6RaF7kOfRMffwIp/1mZ9SbJP55DGvLAb0DfBNMrSMmvxkZ2jpRc6m9i58hucoBsRt/EsH2OlMOx9RZ2voWdb0XflAMdeVQuO9vGzpFqveF2dr6dne9g5zvY+U70TeyW2y7Mj2TBdrHz3ex8Nzvfw873sPO97HwvO9/Hzvex8/3sfD87P8DOD7Dzg+z8IDs/hL6JYXEAqdanHDb183LkGhwecYTP50fY+VF2fpSdH2Pnx9j5cVM/9zrOzk+w8xPs/CQ7P8nOT7HzU+z8NDs/zc7PsPMz7PwsOz/Lzs+x8/Ps/Dw7v8DOL7Dzi+z8Iju/xM4vsfPL7PwyO7/Czq+w86vs/Co7v8bOr7Hz6+z8Oju/wc6RIVPMQsVusvOb7PyWScdqde5+Bln144ORFW6b+vnjbXZ+h53fYed32flddn6Pnd9j5/fZ+X12/oCdP2DnD9n5Q3b+iJ0/YueP2fljdv6EnT9l50/Z+TN2/oydP2fnz9n5C3b+gp2/ZOcv2fkrdv6Knb9m56/Z+Rt2/oadv2Xnb9n5O3b+jp2/Z+fv2fkHdv6BnX9k5x/Z+Sd2/omdf2bnn9n5F3b+hZ1/Zedf2fk3dv6NnX9n59/Z+Q92/oOd/2TnUew8ip1Hs/Nodh7DzmPYeSw7j2Xnv9j5L3Yex87j2Plvdv6bncez83h2/oed/2HnCew8gZ0nsvNEdv6Xnf9l50nsPImdJ7PzZHaews5T2Pk/dv6PnbtY2jlSOXe1tHOkcu5maedI5dzd0s6RyrmHpZ17Wto5Ujn3srRzpHLubWnnSOXcx9LOkcq5r6WdI5VzP0s7Ryrn/pZ2jlTOAyztHKmcp7K0c6RyHmhp50h1Pk9taedI5TzI0udzpDqfB1v6fI5Uzm2Wdo5Uzu0Wr5+ytPMQSztHKuehlnaOVM7DLO0cqZyHW9o5UjmPsLRzpHIeaWnnSOXcYWnnhqWdI183+OzqZVraOVI/D7a0c6Ry7rS0c6RynsbSzpHKeVrUU65TRirn6SztHKmcp0c91UIWSzvPYGnnSOU8o6WdI5XzTJZ2jlTOM1vaOVI5z2Jp50jlPKulnSOV82yWdo5UzrNb2jlSOc9haedI5TynpZ0jNwxc3L9nLks7RyrnuS1eb2Vp53ks7TyvpZ0jlfN8lnaOVM7zW9o5Ui3zKWDp9YpI5bygpZ0jlfNCll63jVTOC1uklm0jMxy4cSdrEdSzRqn3W5Gl5IKhoqjncIffHmRjdeKx9DoiZL9yHcuUKI56Pr1X7wRSOS9haedI5bykpZ0jlfNSlnaOVM5LW9o5UjkXlnaOVM6JnRM7L8POy7Dzsuwc2fZrzhl9y7Hzcuy8PDuvwM4rsPOK7LwiO6/EzpFNUcXAyhbJ0+gcpF4PhXp6Ne+6EDlr+ZXhjqqWXieOVOtBqqGecjkmUi73yVzd0utNkOp1lxoW4eScvBOZKA9TTUuve0CqstayaI18fQip1mvVtvT5HKnO53UsfT5Hql9T19LrXpCj5LfrWXo9NhKj63uj+qin/AZSreNoYJF6XQh5E0e5fUPUE3vzEamWszdCPdU/RD3lAp3Gll5/g0yD4TGwCeoZL1+oQj1lAZqinpnxC5BqPWEzdt7cIlmuKcgklCGgBfomdm8WMkxtiKXXDSLVOqBWll53hqxuk28QsHOkWkfVBn3zEb6BHNNbvjnEzpFqHVs7S6+DRarh294iOSyPINV6pA6Wfi8BqYZHR4vXOaNvygJ0skgepmtItb68M/omynoHqcrVxdLrL5F63b+l1xsi+8jN6Ya+KZf5I9U/726Rer+pOzvvgb4pNxiJKuIb7Bwp2QztZZGctSUj1fqx3uibS7FjfSwKkv8QuQLDza8v+qYa4Oy8HztHqvXA/dE31S+wSJbfHMDOkXqdNDsfyM4HsfNB7HwwOx/Mzoew8yHsfCg7R8oqlhlmkfzpc0j13ttwS6/PRaphPgJ9U+4YUq+/t0gOtwdI9V7eKPRNDI/nSHXYR6Nvyvd8kGo90xiLZPk/IyvLso616H49OVLY+TiL1x9bej33ePRNbM5fpPo1E9A35YCciL4pv40UqqDom+A6bRI7n8zOJ7PzKex8Cjufys6nsvNp7HwaO5/Ozqez8xnsfAY7n8nOZ7LzWex8Fjufzc5ns/M57HwOO/+Pnf/Hzuey87nsfB47n8fO57Pz+ex8ATtfwM4XsvOF7HwRO1/Ezhez88XsfAk7X8LOl7LzZex8GTtfzs6Xs/MV7HwFO1/Jzley81XsfBU7X83OV7PzNex8DTtfy87XsvN17HwdO1/Pztez8w3sfAM738jON7LzTex8EzvfzM43s/Mt7HwLO9/Kzrey823sfBs7387Ot7PzHZgfSVg72PlOdr6Tne9i57vZ+W52voed72Hne9n5Xna+j53vY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnR9j58fZ+XF2foKdn2DnJ9n5SXZ+ip2fYuen2flpdn6GnZ9h52fZ+Vl2fo6dn2Pn59n5BXZ+gZ1fZOcX2fkldn6JnV9m55fZ+RV2foWdX2XnV9n5NXZ+jZ1fZ+fX2fkNdn6Dnd9k5zfZ+S12foud32bnt9n5HXZ+h53fZed32fk9dn6Pnd9n5/fZ+QN2/oCdP2TnD9n5I3b+iJ0/ZueP2fkTdv6EnT9l58/Y+TN2/pydP2fnL9j5C3b+kp2/ZOev2Pkrdv6anSPrVlk+OvMb1FO+H4nsPnjo+pxvLUpI/fngTqRel8rO37Hz9+z8PTv/wM6RDwv+LFrhIzv/yM4/sfNP7PwzO0fqdfPsHFkmut21Fl/ZObK5fP3mm6Xfa/rGzr9beh3+d3b+wyJnWNcasUj1/vpPdo688Gz/+OFRqGf/jAv/IdV7DtGo51rXY54xFv0t3vvGZOSUOy9e+ceinviYmUj517ZfqOfi7BHzkSfy4j/iLFLvkyIfy9f6f6Oe8kVtpHw9IGO8pdcLIwPlP/hj0dIGK7duR2b7nupE3gR2jixnfn1TOJGdJ7Lzv5Zen/6XnSexc6R+n4CdJ7PzFHaews7/sfN/7NzFqZ0jlXNXp3aOVM7dnNo5Ujl3d2rnSOXcw6mdI5VzT6d27uXUzpHKubdTO0cq5z5O7RypnPs6tXOkcu7n5Pc7nbyO26mdI5XzAKd2jlTOUzm1c6RyHujUzpHKeWqndo7U71k4tXOkch7spE0YxueQyrnNqZ0jlXO7UztHysNfL8RJ6v175ITht/Y2CXWSLURceIbE0XzUKgz1lAcQqd4DCXdSpb4Qg7zv2zl99wjUc/WDgj+R0FCpbyTqiY+JQ/rJF7scTv1eCVK9f2ignvL9chP1lAMWea0FRpqFesoXU5FyuKdyOkkO49lIN/mCRRrUE8NuIVIOJ0da1BPDZDmyiHwBOR3qKV/LRirn6Z3aOVI5z+DUzpHKeUbUU24AUm5+0UxOfs/Lqd/nyOwk+TFnkMp5FtRTbihSsq2WFfWUoJABcsBmc5Lkcw+pnGd3kvr/QyCV8xxOUq/PIJXznE7tHAldYV1zObVz5JyR+ODcTu0cqZzncVIxlDcBqZznderzeT6nPp8jlfP8Tu0cqZwXcGrnSOW8oFM7R6rzeSGndo5Uzgs7tXOkcl7EqZ0jlfOiTu0cqZwXc9KB8Rg4SOW8uJPk4T+MbCk/uIRTO0fKw1CupJO85ABDKuelnCTLcQ2p3s8s7aQS8kUjpNysBsJJDeVARL6Vr7OQU7+HhEzpgA0t46RpyfgPJKrv27msk/BbzK9I9Z5+Oad+rxGp3msq76SnGMbxSP3eoVO/D41U72FURD3lgankJHn4JyJzyA+u7KRDOFzTkfIwpK7i1O+9IVvLA1gV9UQ5FiPlbprVnOSDzV+JlJuVvrqT5K9bj9yFj8law0nyr7cioXV37ppOaiz/A/le/u8wajlJMjuIdJEDorZTv8eDVO/b12HnyEISXl0nyWF3BSmHU416Tv1+Vj12Xp+d12fnDdh5A3bekJ03ZOeN2Hkjdt6YnTdm503YeRN23pSdN2Xnzdh5c3benJ23YOct2HlLdt6Snbdi563YeWt23pqdt2Hnbdh5W3belp23Y+ft2Hl7dt6enXdg5x3YeUcn/Q9itA0g</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="476">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0jtLA0EUhuEgCIoolhYW6bS0DGgRC61Tq0VAhYAgERWDiCZeI95vKIgQxNJSJGUKQcsgdoqkiyBILK0U55tTTP6ACO/TvGyye2Z3diMR4J+KTsZdCxk1PqdmltXIvJrcUu8u/HHRtXT45Np+/una09fQ/9tKtcU11tvm+tbV6tp02+yaGGx0Lb9/aU6+pmaqrtnvZ9d47FHHY/fqZUnrD9yosWt16Ep99f0oqCPn/vnO1M4D9eVY3T5Ry4dq95Ga2lHzx+HvtVO1uK1m9tSHXd+cP3/Fr+v3NZ1Wo9NqZVbNzoTn2f5b6//PLoXz86thaxv+et9CPuz+utqRC8+z9x1dDOfV308qq9p3Uf+d2H3aHLuukAqPy1NqaSF8Tns++y5tbnRUTU74OcOq7WtlPFzHrrf9tvuyebE1NbGp2r7Z+wQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPgDP5Qafys=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=191.020 Q3=191.020 sample=32 experiment=1 RT=5.43 ce=-30.00 name=citric_acid" defaultArrayLength="2265" index="60">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="191.0197" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="191.0197" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="360">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0S1yAkEQhuGVSI6wkmOsREaujEQiIyMgGXZhQXIEjoBEcgQkEomMTFXm+6jqqRyAKt7HdM1fT09PVQEAAAAA8CIOq+YvTjY5fn7lOF/meNH6dK35lGPS/n2f426I+5xnus3xTXlm2l9rX7OL5z4UW+W/djkeFSvN18pXaX6m+1MX3+N152m7eN9B8fad42mI95zT/3W7L67f55o+5ve73c/xEOv3ut/9uEfzpyJfW7ynLs6/6x131X3dxHNHrbs/8+J952XMW/Z/tIj5Xd+PzrlfHt8Wsb696/K/9bEu/4P/f6x199V9vGuctN//6HoAAAAAAAAAAAAAAAAAAAAAAAAA4An8AiZQc4s=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=193.035 Q3=58.900 sample=32 experiment=1 RT=4.08 ce=-45.00 name=glucuronic_acid" defaultArrayLength="2265" index="61">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="193.0354" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-45" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="58.9" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="188">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0SEOwzAMAMA+YU8KGh4ZLxkamVQyuKftaUOJFCdWFTjpjlixXNtJtw0AAP7FtXTHfS9d/vvoY6xvdfd5vsbyLNP6GuPcYX5S/3n3/W+v+Xet/6p435hP9r0cfb7OT98pObf6MGe4z+qeoW/7v2f9gmG/bD4AAAAAAAAAAAAAAAAAAKt+R/guHg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=199.170 Q3=199.170 sample=32 experiment=1 RT=0.59 ce=-10.00 name=C12:0_lauric_acid" defaultArrayLength="2265" index="62">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="199.1703" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="199.1703" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="260">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0K9KA0AcwPFbWxp7ANuKZV2WTiwWuywpYhiWZZNv4GCGRR/BRxBE9homg6ibGyriX/z93mBp4fMpX+64435cKbBe6uK7/vfy9jlaBvNo7S2j7el7dNj/jF4f/kbPzhvbsb4v0fKT+5NRrvd3ss1xnis32d2H3N/sZutx3huefERHe1/5zlG+O794zTm23qJ3G4vo1SznbHdecv7HnP/gdJZtPdWVPgQAAAAAAAAAAAAAAAAAAAAA1twfbsszwg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=203.083 Q3=116.100 sample=32 experiment=1 RT=2.67 ce=-45.00 name=tryptophan" defaultArrayLength="2265" index="63">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="203.0826" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-45" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="116.1" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="348">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0SFvAjEYgGHEAgRFCAluFgxLJhC4Q6BRcyypOTNJWEJmdssUjgTCXwAJGQZ3agrBD+APgERMTRD6XUU/dkNveR/zpu3RHr1MBgCAPyp4CH4cu0btZN34z7l5E/rrbl7v49b12HXR8/fX6+6c+On3fd26ew/dtPPTnlu8SLtj6eNKWt3axs29bW120zp38npr+9Wp25be7m2/wzvb4CDrppK3HZWP9vfR+0662cj+/U8ZZ2MZN9bJ+R/S3FJamEtXU2l+IjVDaXGQzEf+/9P3efF9Evo+Lu7xirTvoM/T72WeVUO/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAPAPnQAah1PI</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=207.078 Q3=144.000 sample=32 experiment=1 RT=2.60 ce=-30.00 name=kynurenine" defaultArrayLength="2265" index="64">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="207.0775" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="144" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt3GVg1EoUBeC6U9rd6iZZ3N2dubi7u7u7uzs83N3d3d3d3R0qlNLSlndm5vbPeZSyTW7mu5kkk1fL+LRvTM1qYszLxW9/RjcXOx61GljL2VEsPR2TuOFsD1H+/hkxal9fcaRKgFuOSQPF3mExu2p3GyqyR5Xol1RqpKCmUzpOmzNW5DTOTrkfMFE0HLHjQNtRU/jzposit7q4Ly88W1RX35jDn7NAZLMV69rXuVQsfNLhzuH9K8WJZd+GBI9eI/JW3+BXMdN6Ef7fhvrLRmwSj2PTu2TKsU1U/57/87MnO0XGGpuL/o3aLa40+tmid+xesW273OADYob7mTbDtx4SBdTXUfGk7TqPL0eOC7rs1612ulPiRmSdJ8bw02L8iutbbmKfbD/tjqV5z4l9TeIOP5l6XjQ896CJ4/0F8Sf3oYQm4pJYslh+XRYlPYYVexx7RURPjvedUeOaGPW41JDGm66LdOXTRC5yuym6v7v+K1PuW+L44hPnKjy9JQJr7ZzXYfJt0dJjVfsJhe6InYdnF1z/5o5w6TXG4/ysu2LStbED+1e5J8IP3nZ54XZfbFqddlqlY/dF0em9QncPeCAuDzyx0pHnoah172TwlU8PxasTgcsKrHkkem9ukXl5s8fCdd62XV6hT8Sk6O3pD9x4IsKfJW1LM/mp2HShWpEpZZ6JoruX4Mg9EyflP9v3XNRK+HLcv+cL8eptscoDsrwUHcuUOJLx9UvxN7RC+ko1Xon6dbOsmrLrldg+09d5zf5aeF39ujRw0GvRyltW7LUoMGLKtAOl3ojph7v5Jqx6Iz7E1ZhUwuOtEPnzeo7s9FYs6mkbd+rKWxH/rs3qBwXfiUbNdp/8tuKdKLkoy5eXPu9FuvvLQ+72fS/GVJMH8L3oOLldi2cVP4iq5x9Purnrg9hSItuG946PYtbglbcejf8ofv6QXx/FvRwdIt80/iQKrtlX5M+ZTyLiZfa2X3N+FoMbDB3tuvCzeOlZRHz1/iIqHohNvjf4i9jWcdexE5+/CHt4j2Gbmn4VcS7uufdf/SrU5pT8JuTomLz9G4+772LWmbiszWd9F7/77vlYweWHaJGh14Y8fX6IU6Plhv4QGV9kKVi4zU+RuoH/v6TbP0Wpgdlju2SNEjFlbna83ylKhFqX34t1UeJs+y2t69+J4rpHifpv1y89lzZa3F14qPPTctGibvWrhWI6RgtVhhnRIs2v7iASLbqoAkSLZZ+rNd/3PVpUObP1jntAjCie4rxZJnuMuJVme/m9FWLEtjITgka0jxGqbONiRIcJhTYFrYkRKeUSv389FSOeSj4vY8TBSVsmjEqJEXM3j61TxYoVe3L3XOtaMlbMrF2x19WmsQI7XWL+kFhR/8TQn2OXxorRPb5ka3U8Vhyu+KJ6qzexIjbNnV6tvH+JXs0fR9TM+UtsKnS9RM06v8SbwNMtaw78JVSbWPpLNDi9aV3NU7/EzCXLLtZ8/0v4PVzbu5RfnPglmeaME2nlx9SME34YTXG94kSN8akgIk7M/lJzapfDceJe7dnnM7yIE31uH5i0xfO32HrzfsNveX4Lxajpb/GsM6SM/y1CO6UpfXbHb1GrQ+lUno9/6/13j9fHMVe8SGq1dOiVRvGiUEt0lLHxeru3xYtNTf98nPUgXqyKc8/31uUP948/wi4PXIM/4tx02Sj+iALndqNCf8S7lv3SdbnyR8xPKBjSPvqP8Mj3dnTviASx/+q6ft1EgnbYOUHM+pj2/vJ5CeJW4phFfU4liHp9fr8u8C1BFI7pmGgLTxTNHnxZ9KpMohhzpGeRHd0ThSzDjcWJIkOm2g+/X0gUB0vVz5UUmyh8YssnG+n+isaqwH+FYj3sr8CHYOD+FdUueZdaev+vePnKf+5mtySRd0FS28t5krSf5kniDrqG79Qk8aru0erFDyaJfD7bzKbvksT5tLv6dg5OFmp4l0gWik37ZM10ZrLYv2HIxWxHkoXU8+R9skj+PeDVsuAUIUfBoDIpwnGqWdoyfVJE1YaNx/mtThFoJq3f30oRy0b8CTjq9k9E/6raZGLRf8Ldd2qadj3/icebr21cveqf6PHx7+boO/+4H7rQ1aaWvWSEC+Wr6zbgeW4Xinv6cEy/ii50qAM6TEsXGobRt3KAC5VGFy00w4Vazne2PrXehZ7/e3Kv3gkXOpw06dfThy7UpxRGVpQLZR0pO48rqT6Y3pWUs+KudD06fnBgXVfCb1uUpasrpf4wJbHIWFdSfXipK0m1Vfe50oC5ER4Nb7iS6tufXGmcX7rESy5uhMHlcjjcjZbkqlh1VW43avDhbu3ZFdxod+1uSwY1d6PLSwGzvxtvpxvZ1h8/Hb7BjSaNzemMPuFGh2jsm4uP3Ohonw7tika7kVWo2Kzlfu6USp7oMrjTLTmsS7jT3FY5E87XdaeGn129mnd1p8Gnr99MHONO8Tmmlp+5xJ0GLqh4ON1ed9L9yp1uJ++sUeq9OwVUqZf9Roo7fargUrVhhAdlmLM288d8HvRvBkBX8yB51kru4EEzFqIBj/agTAPclvgs9aDjdRekm7nfgxrkzb7ZfsuD2uTHf332oJ4FRx8kN08aWnhr6UaGJ0XfRIMp4Em+xoqW2ap50hfZhtp4UvfcOMMO9qQfQd/et5/lSTfLyA7tSXUy9r337pgnyY/bfNeT9svh9cWTFnQ+EJHN1Ysiqo3c/S7ci+JPFo6bl8eL7g/+nDlfZS9S/bC1F+WVA3aoFwXIAz3Xi+RZpf52L1LngwteVFa2uVdedHyQLJAXoVtBpDeNTumcaUkub9qycXjciwrepPpHS29KSVg7v/NAbwrs/4Q2zvAmM7//k9vrvaneq0Ef/hz1JjlZyHrHm9Lh7Frrkzc1Lrbv0sAUb1KOQ3zo4vwZr89l96HVu33LxQsfOoWzRM76PjTSKtqpfBcfPR5H+lDJNyPKtpvrQ/Ks2WAz/h57We2ED8k2SHd9aGMqbMBHH71/iT601B8HLtCXVJ9O70tB8hcX9qVj2Uvh1OJLnZPpWtHWvqT6QT9fwkkHndCXCqsJjy+pvrnTl0Y+SH1u+llfipPsHvhSqj7bpj395EsZF/6bPfKvL/8eP9qbb1nj62n9SJ5FhxTwozLXiqY1K/pRiWprn81u4kfFM1QdNq6XH6l2PN6PcPIeVmyxH911Dzh0bwd//5wfdZlnoIJ+lDCspPfmH36k+60/qT4b7k9BgW+bVcjpT12elsPsyZ/Sxi/BFvjTkHN/x1/o6M/H15+mbN9b8MoMf1LzrtX+pOZB+/3pxIeyd+Zd8ad/6WTn8Sc5nEr+9qfPB3e6fwwIoNkN1zxumzGAJKMrJQMIkzUM3QB9/HsEEA5Kr6gJAaTmpysCSM5ClxwMIN2nAujaj8tny34PoPX9up1c45OKRsq2lTEVqfmoSEV53GrvOdM0FfnIidPAVNrlf6lIHe6dqUidf6+lontLPlgbP6Wir/J05RVIrpJlxkAa4fDbM7h8IC1vhplT20DS89VAeiWnucsCyU1NZAMpw7zbT/c8CKQKcy7VmRsbSL6yEEGpSQ7DzjlTU7G05oWDVVOTnDXbOuPPf6MiB05ITZ9moQBrUtOuhXNL5TmTmsahzZR+nZowu6ibxSWISE4Qg4No46fKuf+lC6JSaqISRJhc3+pSLoiW1MUJqV4QyTYe3S6Ix1cQbU8zOdJ7fBDdzVqkfdi8IMqG2Lc2iAIXe37/tCeIzt7FROtMEA0JrPu8yu0gvV+vggiT9LDHP4KoErrTquQgvf0BwbqvGcGEk+Xk+GzBuj8VDabO6bsPHlohmCIy1/NcWzeYDmwG2JbBNL7+oLrVuwVT+kdXL68YFEyy/ceNC6aZXlFhlWcH09Hnh/bkW4bPwfTC2BRModOrfvHYF0xl29kn/jgZTL2LP0v36GowLQ9GA34YTIcxq7r/JpjkX4/6Hqz7eHwwqfmvq43KYnr20c9Gat5ut+nxZNooD6ZDxzLZSJ13c9uonjx9FrbRiLgXmEnaaPCHP8NKVrLRmhQ02Fo2WvFz44VqjWy0RE7rW9poAdpF1442alto3Pu4HjY9rgfYaG8AYA6zUeGS6LxjbHRETpMn2bgv2Ui27d1zbRSK2d+xxTbtZ6WNvvnNHnZ9vY3I3ubs3a02Old2e5cXu226jx60kZzd/DxuozRbwlISztroch45EbBR//2hf6/esOn+eA/fPxXyZ/ljfL/ivN9eL230c92iBd3e4fsYfY8+26i8HFA/8fMt/ova8stGi48umJ060UblyoTNGvzPRj8uoBF62OnuC0w4fO00+eauHBRo1+PLZtfHLdxOat5o2GniumyYmtnp4+56i2tlsBNO+icLZLGTav857DSifWu/pNx2etFn6sx3+e3c/+xUtvSnx9uK22ldNVvL+aXt9CDf6XFDytrJJwJXNhXtpOa9Ve26r9W0k5rGNLDTw0vyRGyn9TVRqXZ2Kocy9elqp9eYHo3tY6dRXY/1nzvYTtWjWq/YNMqu3U60cx+yU8MCjVu+nGenX3PGZItaaqdkOb1YbSc5y3u5BZ8vp68H7bRsJSaMZ+2Ur/+/bvVu2gnNMv/Qp3Z6FIWJzwc7n+fttDLm/rDwJDupeb1XCMn20SsohH40xR5GhujtzBBCzeQO5wyhYDkwCodQfO39UTdFCGFWf75ylRBqJycydUPIkXNnr+LNQ0jN9zuE0ET71sicvUL4PBxC6eXX2BB6FIqOOy2EZsnLtPkhVCHZWD19RQjJ9uG5KYTkaWnk7hBSp4cjIVQjdma9/udCyOPj9Kzfr4fQETldeBhCvW9MvvPiVQhlOTNxY6MvIfR8//jht2JDSF03JIfofu4VSnnkZXBQKL3fGp/7UGSork+GUKqLYbU5Z6juo4VDSV1OiFAa0PN7o5Aqofp2QN1QCpYDoXkoXewNMR1C9bjoGUrycPQfHKrnG2NCaZWQ/yKUj1MoBWTBf60IJXWdtTGU1DR5dyi1ynY16OKRUFLXXedCSf7p0PVQklfV+R6GkrpceBVKEa5Zm7T5HkqX3gT/tCeG8v6E6fOjPYye4KozR9owwiip+CJnmD5PFgujY562EFExjNR8tm4Yqcu7VmF0YwsuULqHkZqGDgnTfWRCGL2shZnXf2E0O9+gXOlWhrHjMFLTu0Nh1Fde+J8P0/O222Gk+L8IY49htO/76q6v/4XRb1ymjA4KJ3Vdni6cHo7EmSNfuN7uiuH09U1hTM3DaUbW76lO9A6ns/KydWw4Yfa1pfW8cMo9e9WffBvCCRern1IOhtN0l3nbdl0IJ89Lx3HGDadRcsLzPJwSGgY36/Q5nORlYMKvcMLs7uY0lwjqKC/8AyLoZf9D5XaFR1ATOeHJEKHnB7kjSF2+Fo+gC//hhFkhgtQBrhNB8rRgtYigAnKi1TmCtu/yCi3bP4IyD85b696oCD6uEeTwHn/2z4IImntje/LUNRH0vCcu1HZEUKPCGOmHI/R893wEqcvhWxGkrs+eRVBpebn0MYIOGvjJ2AhSl2X/IujJ7Uy+O/0i9fwhLJJWFEPjSBepj3uuSFKn3aKR5I/2OqF8JE1otN47onYkyfaypVmk7vOdIilG3j7pG0ndBqBzjIyk9yVxgT8lUvf1+ZGk2t7qSD3et0Xq65pDkRT29ypmGpGk7h/cjCR5OfTjSSSNq1Nl+egPkZQU0e+hLSaSoHhnr8RIkncNLrk5aAsul9L6O3gcOmjzKMwUDAdhq1Nlz+igjflXThyb06EdFHTQg4AFD4uUcvB1iYPU7aAaDqq/uFa5Mg0dhNk+Zu4OGtsPjb+jg1zlhXYvB43JDNiDHOQiv0Y79HXPZAflfvK79v7ZDtqBtphqsYNyzehbruNqBz2bkcM4u9lBzTphBrjHQU/kjPaIg9S06oxDXx9cddBktM0xdx2kbgs9ddCkjY2u5H/nIK8x88tN++aguEz4DVEO2rcWDT7OQbiqrno+wUEF5G6lOEhfHxr0+nTJOv+8DD0+/A2a9S4mzZ3Uhh4/IYbuexEG5ZA3PiyDHPK2XTqDHt+Ir/c2k0GLqmOGkN0gdf8rt0Hy7oZVwKB7XsV7rEK2wVkgQ0GDfhTChBo5/PqEddkKGeTb4deBbUh1OV3Y0PM05O4c+NEihp5HINVxLmpQk5hpmU4i5WVl2WKG3h+k6+GHzSsXN0jdV0Gq+yIlDH08kWoeX9Ig+XEPkXXkBpYy6MVzfCHVeCttkJyevkOq86kwSF7GfkGuuosdIYNyyx9E4qda9itjUGU5wUPq86ZB7eSEAKlOe+UMPd8tb/C4R53k7bcKBmU+2ThmGnJvw4seqSsapAqDlGUJrWRQM3kBjVTzr8oGyc1bgXSXN0aqGCQ/bh1SXWdXNWjrFnwhi5aNPJ6rmkHqNh5S3Q+pbtArHxQa2UPuSA2D/hbBDyLVvKKmQeq+DlLPswxS9zeQx3Nhh2sbug8gHzXHHtcxSB62+0h5OBrXNWi0PHDIVLIw9Qye9xqUFbvbob5B+7Ebn5By87o1MOgWfu0PZAtZwIYGyR/7hRwkvxoZ5ClvHCDV7ebGBsnTiEsTjMf7KDSyuNyRpgaheh+mIBvIGyLNDHpTADM4pBx+9uYGJWNYLUBOxXCJbGGQupxDrpfTpZYG5cdhW4OUhyNTK0PPV5DqfNTa0OcvpNzdfG0MGovd2IdU9zXaGqTuwyCzywK2M+ggfuw0srz8am/Qnad7Gl5EtpIDtYOh55fIobLQHQ3yljuClMO+YSeD5HB+jNyJYdq8s0Hqfi1SzTO7GNRI7jBS3R/rapC63YVU9x+6GTQdhyMGKcs8oLtBG1G+P8iC8hf3MEjubgqylgTS06Bn2DyPXgap+55I+XF+vQ0ajx+bgQyWX30MknznIXPKgdrXIMltSV923o+d92Pn/dl5f3Y+gJ0PYOcD2flAdj6InQ9i54PZ+WB2PoSdD2HnQ9n5UHY+jJ0PY+fD2Tkynbqxy85HsPOR7HwkOx/Fzkex89HsfDQ7H8POx7Dzsex8LDsfx87Hs/Px7HwCO5/Aziey84nsfBI7n8TOJ7Pzyex8Cjufws6nsvOp7HwaO5/Gzqez8+nsfAY7n8HOZ7Lzmex8Fjufxc5ns/PZ7HwOO5/Dzv9j5/+x87nsfC47n8fO57Hz+ex8PjtfgHoemuEVtYCdL2TnC9n5Ina+mJ0vZudL2PkSdr6UnS9l58vY+TJ2vpydL2fnK9j5Cna+kp2vZOer2DkSs9ZBuVaz89XsfA07X8PO17Lztex8HTtfx87Xs3Nk1WHj8lTfwM43sPONBs+j2fkmQ99HQqrpw2aD5NOf10h1P2+Loa+fkTK6bkU95YMG5Jf5e3Cli3rmwkhHesod2I56NscPIPVzDYPw6Z1ddhr6vhMSs/QZXrsM0s+ZUM/P+KDdqKecuCPVfGkP6rnrNf4G9axcOylir0HrXp4IXIbML3/hPtRTPc9CPeXjwf2YD8jHcPvZ+QF2foCdH2TnB9n5IXaOPNgWM6LDqKd8fIK8PQc7cMTg6wvU81SxDFWPGiRv+15HekeFVa59DPWcNKHp3WPs/LhB8innY2TJmviEE+ibuFx4iVT3m06ib4bgCgIpy935lEH6eQ36JsrT6zT6ppwmIuXuDDiDvqlu2KNv4tcPO2uQ/NgUpHoecg59Uz1ARN9c+HzuJKQ82n4X0DdlgZFylhZ0EfMm+QPIwxj+YZfQN+WNYeTdY2+xReib8kAgf3zFjl4xSA0bpJ7noZ7yMCPl4ctzDfWUhwWp7oNfN/i6y9D3UW6gb8rdRsrdKXPTILWZSHV/5xb6pvxYpLqOu42+KQOpn5sZVFsOAOSLubLA6JtyB5Dq+uYe+iaq/hapnt/cR9/EcP2MlMOw+wN2jqysPsggjNocv5Ht5MT3EfomDl8SUj2Wfoy+KQvyBH0TZZyAVPfNnxr6Pg5SDbxn6JvYzDnIZrJwz9E3u8oNQ9+UE+8Xhp5/I9X130tDXy8i1f26V+ibcgdesfPXBqnhj1TPMd6gb8qBgpSjothb9E05vJDq+vYd+qYcDkj1PPw9+qY8fO/Z+QeDVLmRHeQv/MjOkfo5Bzv/xM4/s/PP7PwLO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/yc5/svModh7FzqPZeTQ7j2HnMew8lp3HsvNf7PwXO49j58hO6sBifiTbDFJd98ejb8q2gJRR5I9BivEfdp7AzhPYeSI7T2Tnf9n5X3aexM6T2HkyO09m5ynsPIWd/2Pn/9i5i6mdI5VzV1M7RyrnbqZ2jlTO3U3tHKmce5jauaepnSOVcy9TO0cq596mdo5Uzn1M7RypnPua2jlSOfcztXOkcu5vaudI5TzA1M6RynkqUztHKueBpnaOVM5Tm9o5UjkPMrVzpHIebGrnSOXcZmrnSOXcbmrnSOU8xNTOkcp5qKmdI5XzMFM7Ryrn4aZ2jlTOI0ztHKmcR5raucPUzpGqPIapnSPVwDNN7RypnFumdo5UP+40tXOkcp7G1M6RynlaUztHKufpTO0cqZ9Xmto5UjnPYGrnSOU8o6mdI/W6F1M7RyrnmU3tHKmcZzG1c6RyntXUzpHKeTZTO0cq59lN7RypnOcwtXOkcp7T1M6RynkuUztHKue5Te08j6mdI9UwzGtq50jlPJ+pnSPVYc5vaudI5byAqZ0jlfOCpnaOVLtdyNTOkcp5YVM7R6qPLWJq50gVRU3tHKmcFzO1c6RyXtzUz3uQynkJUztHKuclTe0cqZyXMrVzpHJe2tTOkfr5kamdI5VzYufEzsuw8zLsvCw7L8vOy7Hzcuy8PDuvwM4rsPOKJr1eKZpOqcjOK7HzSuy8MjtHrpvf+UBEFZPy5Xp4aSny5LkKT51V2XlVdl6NnVdj59XZeXV2XoOd12DnNdl5TXZei53XYue12Xltdl6Hnddh53XZeV12Xo+d12Pn9dl5fXbegJ03YOcN2XlDdt4I9Tz181o0Ut03box64o/xyJryQWYTdt6UnSN/y+VJzdg5Ut+HZudIdV+pBTtHVnzq3BLW0tT3Z5Gt/ZJumK3QN1d3fb0SKVd/pW9tks/tSl4bkOp5dxvUU65KQ6rndW1RTzng2rLzdqgnNvdQO3benp23Z+cd2HkHdt6RnXdk551QT0d9n9ud2Hlnk55XwZHuzM67sPMu7Lwr6rnp68C3SHVfrRs778bOu6OeXqhkd3bew+TnWOibKOfgnibfnzdJ7v6oXuy8NztH7jmDDepj6vu/SLX+oq+p7/cjP8nH6v3QNw+V27UQKfk5+pv6eTvSkjeiB6BvhqUkrEUW2dE9IMtA9E0M2y3IunIHB5n6PjSyh3wQMJidD2bnQ9j5EHY+1NTnc6Ra9zEM9ZQgkOq50XCT5G7dQMbI5SIj2DlSPWcYaerne0j5x5ajTH1fHqnWI4xG3zSx4cjm8i/GmPzcAn3z7ZULvceapJYHIv+z4QCMM/XzOqRatzXeJDl8XCaY+jkIsr4cSBPZObKXLMQk9E2UfRZSPReejL4pFzhMZudT2PkUdj4VfVNuEFKtb5qGvol/tgmp1mFNR9+U65CQ8rFuvhnom3KdGTKb/IuZJmEUjzmCVM8jZqGeGN6nkHLYlpuNvjkQO4hUz4XnmCSHzzXkvFIY6P+hb8oFbUh5GBvONfXzVqRaNzPP5Oc5JskytZ2PvikHHFKt21hgktzcr8hIuUEL2flCdr6InS9i54tNkkxTkF3khi9h50vRN9/H1Zi0lJ0vQ9+Uy+yWsfPlJsnhOHc5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw86RV7Fbhdayc6RaF7kOfRMffwIp/1mZ9SbJP55DGvLAb0DfBNMrSMmvxkZ2jpRc6m9i58hucoBsRt/EsH2OlMOx9RZ2voWdb0XflAMdeVQuO9vGzpFqveF2dr6dne9g5zvY+U70TeyW2y7Mj2TBdrHz3ex8Nzvfw873sPO97HwvO9/Hzvex8/3sfD87P8DOD7Dzg+z8IDs/hL6JYXEAqdanHDb183LkGhwecYTP50fY+VF2fpSdH2Pnx9j5cVM/9zrOzk+w8xPs/CQ7P8nOT7HzU+z8NDs/zc7PsPMz7PwsOz/Lzs+x8/Ps/Dw7v8DOL7Dzi+z8Iju/xM4vsfPL7PwyO7/Czq+w86vs/Co7v8bOr7Hz6+z8Oju/wc6RIVPMQsVusvOb7PyWScdqde5+Bln144ORFW6b+vnjbXZ+h53fYed32flddn6Pnd9j5/fZ+X12/oCdP2DnD9n5Q3b+iJ0/YueP2fljdv6EnT9l50/Z+TN2/oydP2fnz9n5C3b+gp2/ZOcv2fkrdv6Knb9m56/Z+Rt2/oadv2Xnb9n5O3b+jp2/Z+fv2fkHdv6BnX9k5x/Z+Sd2/omdf2bnn9n5F3b+hZ1/Zedf2fk3dv6NnX9n59/Z+Q92/oOd/2TnUew8ip1Hs/Nodh7DzmPYeSw7j2Xnv9j5L3Yex87j2Plvdv6bncez83h2/oed/2HnCew8gZ0nsvNEdv6Xnf9l50nsPImdJ7PzZHaews5T2Pk/dv6PnbtY2jlSOXe1tHOkcu5maedI5dzd0s6RyrmHpZ17Wto5Ujn3srRzpHLubWnnSOXcx9LOkcq5r6WdI5VzP0s7Ryrn/pZ2jlTOAyztHKmcp7K0c6RyHmhp50h1Pk9taedI5TzI0udzpDqfB1v6fI5Uzm2Wdo5Uzu0Wr5+ytPMQSztHKuehlnaOVM7DLO0cqZyHW9o5UjmPsLRzpHIeaWnnSOXcYWnnhqWdI183+OzqZVraOVI/D7a0c6Ry7rS0c6RynsbSzpHKeVrUU65TRirn6SztHKmcp0c91UIWSzvPYGnnSOU8o6WdI5XzTJZ2jlTOM1vaOVI5z2Jp50jlPKulnSOV82yWdo5UzrNb2jlSOc9haedI5TynpZ0jNwxc3L9nLks7RyrnuS1eb2Vp53ks7TyvpZ0jlfN8lnaOVM7zW9o5Ui3zKWDp9YpI5bygpZ0jlfNCll63jVTOC1uklm0jMxy4cSdrEdSzRqn3W5Gl5IKhoqjncIffHmRjdeKx9DoiZL9yHcuUKI56Pr1X7wRSOS9haedI5bykpZ0jlfNSlnaOVM5LW9o5UjkXlnaOVM6JnRM7L8POy7Dzsuwc2fZrzhl9y7Hzcuy8PDuvwM4rsPOK7LwiO6/EzpFNUcXAyhbJ0+gcpF4PhXp6Ne+6EDlr+ZXhjqqWXieOVOtBqqGecjkmUi73yVzd0utNkOp1lxoW4eScvBOZKA9TTUuve0CqstayaI18fQip1mvVtvT5HKnO53UsfT5Hql9T19LrXpCj5LfrWXo9NhKj63uj+qin/AZSreNoYJF6XQh5E0e5fUPUE3vzEamWszdCPdU/RD3lAp3Gll5/g0yD4TGwCeoZL1+oQj1lAZqinpnxC5BqPWEzdt7cIlmuKcgklCGgBfomdm8WMkxtiKXXDSLVOqBWll53hqxuk28QsHOkWkfVBn3zEb6BHNNbvjnEzpFqHVs7S6+DRarh294iOSyPINV6pA6Wfi8BqYZHR4vXOaNvygJ0skgepmtItb68M/omynoHqcrVxdLrL5F63b+l1xsi+8jN6Ya+KZf5I9U/726Rer+pOzvvgb4pNxiJKuIb7Bwp2QztZZGctSUj1fqx3uibS7FjfSwKkv8QuQLDza8v+qYa4Oy8HztHqvXA/dE31S+wSJbfHMDOkXqdNDsfyM4HsfNB7HwwOx/Mzoew8yHsfCg7R8oqlhlmkfzpc0j13ttwS6/PRaphPgJ9U+4YUq+/t0gOtwdI9V7eKPRNDI/nSHXYR6Nvyvd8kGo90xiLZPk/IyvLso616H49OVLY+TiL1x9bej33ePRNbM5fpPo1E9A35YCciL4pv40UqqDom+A6bRI7n8zOJ7PzKex8Cjufys6nsvNp7HwaO5/Ozqez8xnsfAY7n8nOZ7LzWex8Fjufzc5ns/M57HwOO/+Pnf/Hzuey87nsfB47n8fO57Pz+ex8ATtfwM4XsvOF7HwRO1/Ezhez88XsfAk7X8LOl7LzZex8GTtfzs6Xs/MV7HwFO1/Jzley81XsfBU7X83OV7PzNex8DTtfy87XsvN17HwdO1/Pztez8w3sfAM738jON7LzTex8EzvfzM43s/Mt7HwLO9/Kzrey823sfBs7387Ot7PzHZgfSVg72PlOdr6Tne9i57vZ+W52voed72Hne9n5Xna+j53vY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnR9j58fZ+XF2foKdn2DnJ9n5SXZ+ip2fYuen2flpdn6GnZ9h52fZ+Vl2fo6dn2Pn59n5BXZ+gZ1fZOcX2fkldn6JnV9m55fZ+RV2foWdX2XnV9n5NXZ+jZ1fZ+fX2fkNdn6Dnd9k5zfZ+S12foud32bnt9n5HXZ+h53fZed32fk9dn6Pnd9n5/fZ+QN2/oCdP2TnD9n5I3b+iJ0/ZueP2fkTdv6EnT9l58/Y+TN2/pydP2fnL9j5C3b+kp2/ZOev2Pkrdv6anSPrVlk+OvMb1FO+H4nsPnjo+pxvLUpI/fngTqRel8rO37Hz9+z8PTv/wM6RDwv+LFrhIzv/yM4/sfNP7PwzO0fqdfPsHFkmut21Fl/ZObK5fP3mm6Xfa/rGzr9beh3+d3b+wyJnWNcasUj1/vpPdo688Gz/+OFRqGf/jAv/IdV7DtGo51rXY54xFv0t3vvGZOSUOy9e+ceinviYmUj517ZfqOfi7BHzkSfy4j/iLFLvkyIfy9f6f6Oe8kVtpHw9IGO8pdcLIwPlP/hj0dIGK7duR2b7nupE3gR2jixnfn1TOJGdJ7Lzv5Zen/6XnSexc6R+n4CdJ7PzFHaews7/sfN/7NzFqZ0jlXNXp3aOVM7dnNo5Ujl3d2rnSOXcw6mdI5VzT6d27uXUzpHKubdTO0cq5z5O7RypnPs6tXOkcu7n5Pc7nbyO26mdI5XzAKd2jlTOUzm1c6RyHujUzpHKeWqndo7U71k4tXOkch7spE0YxueQyrnNqZ0jlXO7UztHysNfL8RJ6v175ITht/Y2CXWSLURceIbE0XzUKgz1lAcQqd4DCXdSpb4Qg7zv2zl99wjUc/WDgj+R0FCpbyTqiY+JQ/rJF7scTv1eCVK9f2ignvL9chP1lAMWea0FRpqFesoXU5FyuKdyOkkO49lIN/mCRRrUE8NuIVIOJ0da1BPDZDmyiHwBOR3qKV/LRirn6Z3aOVI5z+DUzpHKeUbUU24AUm5+0UxOfs/Lqd/nyOwk+TFnkMp5FtRTbihSsq2WFfWUoJABcsBmc5Lkcw+pnGd3kvr/QyCV8xxOUq/PIJXznE7tHAldYV1zObVz5JyR+ODcTu0cqZzncVIxlDcBqZznderzeT6nPp8jlfP8Tu0cqZwXcGrnSOW8oFM7R6rzeSGndo5Uzgs7tXOkcl7EqZ0jlfOiTu0cqZwXc9KB8Rg4SOW8uJPk4T+MbCk/uIRTO0fKw1CupJO85ABDKuelnCTLcQ2p3s8s7aQS8kUjpNysBsJJDeVARL6Vr7OQU7+HhEzpgA0t46RpyfgPJKrv27msk/BbzK9I9Z5+Oad+rxGp3msq76SnGMbxSP3eoVO/D41U72FURD3lgankJHn4JyJzyA+u7KRDOFzTkfIwpK7i1O+9IVvLA1gV9UQ5FiPlbprVnOSDzV+JlJuVvrqT5K9bj9yFj8law0nyr7cioXV37ppOaiz/A/le/u8wajlJMjuIdJEDorZTv8eDVO/b12HnyEISXl0nyWF3BSmHU416Tv1+Vj12Xp+d12fnDdh5A3bekJ03ZOeN2Hkjdt6YnTdm503YeRN23pSdN2Xnzdh5c3benJ23YOct2HlLdt6Snbdi563YeWt23pqdt2Hnbdh5W3belp23Y+ft2Hl7dt6enXdg5x3YeUcn/Q9itA0g</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="264">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0bFqwlAUgOE8ifRJJIPdXdxdBHFxEsFJunQWQQqWkrVjF1/AyZcQF3eF0qVLISd30BpUupXvW35ykssl92YZAPwzeSf/0/rp4+X1dfNr+9+6rk4xiPWfs+jre7SxKfvQ35ctWl9l283vmM+O8d18G12to+OP6Mtb9LCMFotqn3k1f67mT2edRNuj6G4YzXun8/ScdU+b/ie9T+eTzu38vOrO7957vvVe0ryuAAAAAAAAAAAAAAAAAAAA/PIDp4Y2hQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=209.030 Q3=85.000 sample=32 experiment=1 RT=5.42 ce=-15.00 name=galactaric_acid" defaultArrayLength="2265" index="65">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="209.0303" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-15" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="85" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="176">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0SEShDAMBVCOwQnWY1CI3ftfalXMn/mAQ/Ce6SSkSVuWBQAAAN7q8z3Pr/F94rbviPwv+txds3+r2y/qRt6nxdlnizkTt/fJebPmvtH65f0yv5U48+2ck9+jLv9Xnv9qbe8/cl7GbW7Wt/4AAAAAAAAAAAAAAAAAz/kDMY4cZg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=212.002 Q3=79.900 sample=32 experiment=1 RT=1.12 ce=-45.00 name=3-indoxyl_sulfate" defaultArrayLength="2265" index="66">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="212.0023" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-45" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="79.9" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="512">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=218.103 Q3=88.000 sample=32 experiment=1 RT=2.85 ce=-15.00 name=pantothenic_acid" defaultArrayLength="2265" index="67">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="218.1034" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-15" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="88" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="216">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0aEKwlAUBuB138KnMK4IRkHM+hIWQZiYfAaL2SaoWQx2i5gEX8FkFHa24IoTk/J95ee/Z7sctiQBAP5S1k6/ei7t13v/U2/3GsZ8OY7szCPvqzyzwTH65pbnvneNfj7HfHuJ3iiydYrz3SF6c13cu4jsTiPTSdFHkY/Z657l3uV3KXs1q+r+BwAAAAAAAAAAAAAAAAAAgB/2BOHrJIY=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=219.078 Q3=144.000 sample=32 experiment=1 RT=3.37 ce=-30.00 name=5-hydroxy-L-tryptophan" defaultArrayLength="2265" index="68">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="219.0775" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="144" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="152">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0DEKgDAQBMA8LZ1PsLay8dE+xUJTGDhiUFBkpjlCwt6SlAAAvmDO+xyqWZTz8S5PwX2tzgvyS16Z63LeV+9PY9Dzap9Io2e4t5Xb26M3526fSOufn/LW/wEAAAAAAAAAAAAAAAAAwD9sBUIVOQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=220.083 Q3=59.200 sample=32 experiment=1 RT=2.81 ce=-45.00 name=N-acetylglucosamine" defaultArrayLength="2265" index="69">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="220.0826" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-45" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="59.2" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="236">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0DsKwkAUBVCX5BKmyRKsrWxsBEEEQVAstBKLgNtxKSmzDIvJCDPkg4jdOc3lZT7vZWYzAKBfFcbrL4VFGL93qt/QvqH9U/dMeC3zfmn+cI7ZXmPe7l39jFnXMZt9nmHVf18p7SvfK9XlXD8r37XK+6T5H9v+OmXYxZwfu++HvG4v+flmk59L6+k/T+t8vZwnvdOnf1GX5wEAAAAAAAAAAAAAAAAAAP7oDRXDPJs=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=227.202 Q3=227.202 sample=32 experiment=1 RT=0.57 ce=-10.00 name=C14:0_myristic_acid" defaultArrayLength="2265" index="70">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="227.2016" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="227.2016" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="224">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztzituQlEUhlE0qhpMFVO4lpEQbItBoREMAI1iCAgEsiPoDJpcUUd5pCXhnTQ5/yRIWMt8OTd733MaDXgwX4du6edP6bTal9bb9LXepJNdvnf+Soed39LuOvvD/TH/uZxynp0z304Xg2vpuHcpnTczP//O/EeVLt5vecfynvM97Y+y//KWvbqVe+tV3gMAAAAAAAAAAAAAAAAAAAAAz+IfWGE4Vg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=239.017 Q3=119.900 sample=32 experiment=1 RT=5.34 ce=-15.00 name=L-cystine" defaultArrayLength="2265" index="71">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="239.0165" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-15" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="119.9" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="492">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztzrsrhXEcx/FnpZTJbJAkSZJkMhgMBklCUjaLRQbDSSe5TGRQJI7jfs39lg4dlyIWl5TB4DKQIqNFqfP5LP4CqfdreZ/v7/k+v+cEAQAAAAAAfyt8cVGS+LFymWg85SbR8Pq1+n2lfvo8cptoSa1bpfPgxfshz42a42O+t1n3BAf+3ob7fKrWulfHuif7SHProdqrhvPimif31ST3K6ae7aode2rBjtq1pb5vq3ee5zbVyg01tKZ+rKs9nh9X1fsVNbasli2qJwtquZ93ujludEndnPXevLrr9+p8nu/7stynGd8zp1ZPqRneH/Kc67ltUo37vUy3eFwtmlDfPLdE1TSf9/n9bt/35OcN02qynxe61W6N30/1fsQ9d8u9Fxr5/T/SfR6LqO3eHxpTX7234PMK/+96z6WjauC9M8+ffn/A32uK/m6Fzx+83z+oZg37PgAAAAAAAAAAAAAAAAAAAAAAAAD4P34AH0eVSQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=241.217 Q3=241.217 sample=32 experiment=1 RT=0.56 ce=-10.00 name=C15:0_pentadecanoic_acid" defaultArrayLength="2265" index="72">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="241.2173" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="241.2173" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="232">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztzytuQkEUgOGrUbhaloBCIUbgCzsg9SQEUYW4S0BWVrAAloCuakJqUBcM4RGgbRos6Rx2gGmT7zN/5mQemaKAv6VsndJvU2eX23/b51ajmDdSrIveJnf+EfuqWszLdrQ+Oee+Pn7mzp6+cruX71g/RN8HP7nNVXT2HO2/xLlyezs3jU7Gce9wEU3LY7yzPqQ7vg0AAAAAAAAAAAAAAAAAAAAA/9YVxxo0cg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=243.062 Q3=110.000 sample=32 experiment=1 RT=1.85 ce=-30.00 name=Uridine" defaultArrayLength="2265" index="73">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="243.0622" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="110" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="344">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0rFLQkEAx/EbgvwfdGhs6D94yzlfY5sk+A+EieDQ8voPoiYF8U1t7oEJgtTUECq4NjQ2Gc4F93sK9/Sglpa+n+XL3bt75+M0BgD+UmLDRp6nZ2Gj+wvrt/Mucs4Pz//188jviu7fcHbfKmMamp+01JMb9aWv1oe+afLkO5kufbPFu68df2qcfPm+jQ6qvs1D36NZPn4w6vla7+nl+8tznbN6VJ/v1Y+BWumqx3fq6a362lHtlVq6zr/vUm221ezCBt+5c3/5vK2F3a5zhSbhup37b0TGrrCv+P+JnBO9XwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA/qdvegVJQQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=255.233 Q3=255.233 sample=32 experiment=1 RT=0.55 ce=-10.00 name=C16:0_palmitic_acid" defaultArrayLength="2265" index="74">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="255.2329" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="255.2329" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="236">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztzq1OgnEUwGEY0WQi8BY/wBemdiMECxsN9AJoOhOVZHHKBXADGhyJDTCaIHIDXAKBWUxujvO/CTefp/x2zimnUIC/JSsdNvcdF8vRzU0l+vl9FL2+P4nuXk6jzz+pb6tadL49i04/LqKT9/NoZ3YZzV/T/naY5q+n1FE3NVuke+uqHl2282j/oBEdPFajvfVx9OEu/QUAAAAAAAAAAAAAAAAAAAAA/9UvHq4hKg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=259.022 Q3=78.800 sample=32 experiment=1 RT=4.46 ce=-45.00 name=D-fructose-6-phosphate" defaultArrayLength="2265" index="75">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="259.0224" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-45" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="78.8" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="280">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0TGOwjAQAECecg/gCSnSXEdzBcVJVwSdEOgKREXNU3jKPYWnUMRrySsiCA3NTLOyd9deJ4sFAADwXsv+/jrvZ92D/KP+uebOmfdj3ohT5xX/X6nu2ffOnausz58T96V7a93EuTl/Xo3reE++J/KxX/PfY+zXqf+nzV9+276oj3zsR3/EqKv5Tekb2rmePmfVxvr/ujR3+k51P75z3FfOGbZt7A9jvO7L+lT6jm2M+stfieU7fezS+9K9AAAAAAAAAAAAAAAAAMBLbo6fQpE=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=263.104 Q3=145.000 sample=32 experiment=1 RT=2.43 ce=-15.00 name=α-N-phenylacetyl-L-glutamine" defaultArrayLength="2265" index="76">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="263.1037" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-15" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="145" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt3GVg1EoUBeC6U9rd6iZZ3N2dubi7u7u7uzs83N3d3d3d3R0qlNLSlndm5vbPeZSyTW7mu5kkk1fL+LRvTM1qYszLxW9/RjcXOx61GljL2VEsPR2TuOFsD1H+/hkxal9fcaRKgFuOSQPF3mExu2p3GyqyR5Xol1RqpKCmUzpOmzNW5DTOTrkfMFE0HLHjQNtRU/jzposit7q4Ly88W1RX35jDn7NAZLMV69rXuVQsfNLhzuH9K8WJZd+GBI9eI/JW3+BXMdN6Ef7fhvrLRmwSj2PTu2TKsU1U/57/87MnO0XGGpuL/o3aLa40+tmid+xesW273OADYob7mTbDtx4SBdTXUfGk7TqPL0eOC7rs1612ulPiRmSdJ8bw02L8iutbbmKfbD/tjqV5z4l9TeIOP5l6XjQ896CJ4/0F8Sf3oYQm4pJYslh+XRYlPYYVexx7RURPjvedUeOaGPW41JDGm66LdOXTRC5yuym6v7v+K1PuW+L44hPnKjy9JQJr7ZzXYfJt0dJjVfsJhe6InYdnF1z/5o5w6TXG4/ysu2LStbED+1e5J8IP3nZ54XZfbFqddlqlY/dF0em9QncPeCAuDzyx0pHnoah172TwlU8PxasTgcsKrHkkem9ukXl5s8fCdd62XV6hT8Sk6O3pD9x4IsKfJW1LM/mp2HShWpEpZZ6JoruX4Mg9EyflP9v3XNRK+HLcv+cL8eptscoDsrwUHcuUOJLx9UvxN7RC+ko1Xon6dbOsmrLrldg+09d5zf5aeF39ujRw0GvRyltW7LUoMGLKtAOl3ojph7v5Jqx6Iz7E1ZhUwuOtEPnzeo7s9FYs6mkbd+rKWxH/rs3qBwXfiUbNdp/8tuKdKLkoy5eXPu9FuvvLQ+72fS/GVJMH8L3oOLldi2cVP4iq5x9Purnrg9hSItuG946PYtbglbcejf8ofv6QXx/FvRwdIt80/iQKrtlX5M+ZTyLiZfa2X3N+FoMbDB3tuvCzeOlZRHz1/iIqHohNvjf4i9jWcdexE5+/CHt4j2Gbmn4VcS7uufdf/SrU5pT8JuTomLz9G4+772LWmbiszWd9F7/77vlYweWHaJGh14Y8fX6IU6Plhv4QGV9kKVi4zU+RuoH/v6TbP0Wpgdlju2SNEjFlbna83ylKhFqX34t1UeJs+y2t69+J4rpHifpv1y89lzZa3F14qPPTctGibvWrhWI6RgtVhhnRIs2v7iASLbqoAkSLZZ+rNd/3PVpUObP1jntAjCie4rxZJnuMuJVme/m9FWLEtjITgka0jxGqbONiRIcJhTYFrYkRKeUSv389FSOeSj4vY8TBSVsmjEqJEXM3j61TxYoVe3L3XOtaMlbMrF2x19WmsQI7XWL+kFhR/8TQn2OXxorRPb5ka3U8Vhyu+KJ6qzexIjbNnV6tvH+JXs0fR9TM+UtsKnS9RM06v8SbwNMtaw78JVSbWPpLNDi9aV3NU7/EzCXLLtZ8/0v4PVzbu5RfnPglmeaME2nlx9SME34YTXG94kSN8akgIk7M/lJzapfDceJe7dnnM7yIE31uH5i0xfO32HrzfsNveX4Lxajpb/GsM6SM/y1CO6UpfXbHb1GrQ+lUno9/6/13j9fHMVe8SGq1dOiVRvGiUEt0lLHxeru3xYtNTf98nPUgXqyKc8/31uUP948/wi4PXIM/4tx02Sj+iALndqNCf8S7lv3SdbnyR8xPKBjSPvqP8Mj3dnTviASx/+q6ft1EgnbYOUHM+pj2/vJ5CeJW4phFfU4liHp9fr8u8C1BFI7pmGgLTxTNHnxZ9KpMohhzpGeRHd0ThSzDjcWJIkOm2g+/X0gUB0vVz5UUmyh8YssnG+n+isaqwH+FYj3sr8CHYOD+FdUueZdaev+vePnKf+5mtySRd0FS28t5krSf5kniDrqG79Qk8aru0erFDyaJfD7bzKbvksT5tLv6dg5OFmp4l0gWik37ZM10ZrLYv2HIxWxHkoXU8+R9skj+PeDVsuAUIUfBoDIpwnGqWdoyfVJE1YaNx/mtThFoJq3f30oRy0b8CTjq9k9E/6raZGLRf8Ldd2qadj3/icebr21cveqf6PHx7+boO/+4H7rQ1aaWvWSEC+Wr6zbgeW4Xinv6cEy/ii50qAM6TEsXGobRt3KAC5VGFy00w4Vazne2PrXehZ7/e3Kv3gkXOpw06dfThy7UpxRGVpQLZR0pO48rqT6Y3pWUs+KudD06fnBgXVfCb1uUpasrpf4wJbHIWFdSfXipK0m1Vfe50oC5ER4Nb7iS6tufXGmcX7rESy5uhMHlcjjcjZbkqlh1VW43avDhbu3ZFdxod+1uSwY1d6PLSwGzvxtvpxvZ1h8/Hb7BjSaNzemMPuFGh2jsm4uP3Ohonw7tika7kVWo2Kzlfu6USp7oMrjTLTmsS7jT3FY5E87XdaeGn129mnd1p8Gnr99MHONO8Tmmlp+5xJ0GLqh4ON1ed9L9yp1uJ++sUeq9OwVUqZf9Roo7fargUrVhhAdlmLM288d8HvRvBkBX8yB51kru4EEzFqIBj/agTAPclvgs9aDjdRekm7nfgxrkzb7ZfsuD2uTHf332oJ4FRx8kN08aWnhr6UaGJ0XfRIMp4Em+xoqW2ap50hfZhtp4UvfcOMMO9qQfQd/et5/lSTfLyA7tSXUy9r337pgnyY/bfNeT9svh9cWTFnQ+EJHN1Ysiqo3c/S7ci+JPFo6bl8eL7g/+nDlfZS9S/bC1F+WVA3aoFwXIAz3Xi+RZpf52L1LngwteVFa2uVdedHyQLJAXoVtBpDeNTumcaUkub9qycXjciwrepPpHS29KSVg7v/NAbwrs/4Q2zvAmM7//k9vrvaneq0Ef/hz1JjlZyHrHm9Lh7Frrkzc1Lrbv0sAUb1KOQ3zo4vwZr89l96HVu33LxQsfOoWzRM76PjTSKtqpfBcfPR5H+lDJNyPKtpvrQ/Ks2WAz/h57We2ED8k2SHd9aGMqbMBHH71/iT601B8HLtCXVJ9O70tB8hcX9qVj2Uvh1OJLnZPpWtHWvqT6QT9fwkkHndCXCqsJjy+pvrnTl0Y+SH1u+llfipPsHvhSqj7bpj395EsZF/6bPfKvL/8eP9qbb1nj62n9SJ5FhxTwozLXiqY1K/pRiWprn81u4kfFM1QdNq6XH6l2PN6PcPIeVmyxH911Dzh0bwd//5wfdZlnoIJ+lDCspPfmH36k+60/qT4b7k9BgW+bVcjpT12elsPsyZ/Sxi/BFvjTkHN/x1/o6M/H15+mbN9b8MoMf1LzrtX+pOZB+/3pxIeyd+Zd8ad/6WTn8Sc5nEr+9qfPB3e6fwwIoNkN1zxumzGAJKMrJQMIkzUM3QB9/HsEEA5Kr6gJAaTmpysCSM5ClxwMIN2nAujaj8tny34PoPX9up1c45OKRsq2lTEVqfmoSEV53GrvOdM0FfnIidPAVNrlf6lIHe6dqUidf6+lontLPlgbP6Wir/J05RVIrpJlxkAa4fDbM7h8IC1vhplT20DS89VAeiWnucsCyU1NZAMpw7zbT/c8CKQKcy7VmRsbSL6yEEGpSQ7DzjlTU7G05oWDVVOTnDXbOuPPf6MiB05ITZ9moQBrUtOuhXNL5TmTmsahzZR+nZowu6ibxSWISE4Qg4No46fKuf+lC6JSaqISRJhc3+pSLoiW1MUJqV4QyTYe3S6Ix1cQbU8zOdJ7fBDdzVqkfdi8IMqG2Lc2iAIXe37/tCeIzt7FROtMEA0JrPu8yu0gvV+vggiT9LDHP4KoErrTquQgvf0BwbqvGcGEk+Xk+GzBuj8VDabO6bsPHlohmCIy1/NcWzeYDmwG2JbBNL7+oLrVuwVT+kdXL68YFEyy/ceNC6aZXlFhlWcH09Hnh/bkW4bPwfTC2BRModOrfvHYF0xl29kn/jgZTL2LP0v36GowLQ9GA34YTIcxq7r/JpjkX4/6Hqz7eHwwqfmvq43KYnr20c9Gat5ut+nxZNooD6ZDxzLZSJ13c9uonjx9FrbRiLgXmEnaaPCHP8NKVrLRmhQ02Fo2WvFz44VqjWy0RE7rW9poAdpF1442alto3Pu4HjY9rgfYaG8AYA6zUeGS6LxjbHRETpMn2bgv2Ui27d1zbRSK2d+xxTbtZ6WNvvnNHnZ9vY3I3ubs3a02Old2e5cXu226jx60kZzd/DxuozRbwlISztroch45EbBR//2hf6/esOn+eA/fPxXyZ/ljfL/ivN9eL230c92iBd3e4fsYfY8+26i8HFA/8fMt/ova8stGi48umJ060UblyoTNGvzPRj8uoBF62OnuC0w4fO00+eauHBRo1+PLZtfHLdxOat5o2GniumyYmtnp4+56i2tlsBNO+icLZLGTav857DSifWu/pNx2etFn6sx3+e3c/+xUtvSnx9uK22ldNVvL+aXt9CDf6XFDytrJJwJXNhXtpOa9Ve26r9W0k5rGNLDTw0vyRGyn9TVRqXZ2Kocy9elqp9eYHo3tY6dRXY/1nzvYTtWjWq/YNMqu3U60cx+yU8MCjVu+nGenX3PGZItaaqdkOb1YbSc5y3u5BZ8vp68H7bRsJSaMZ+2Ur/+/bvVu2gnNMv/Qp3Z6FIWJzwc7n+fttDLm/rDwJDupeb1XCMn20SsohH40xR5GhujtzBBCzeQO5wyhYDkwCodQfO39UTdFCGFWf75ylRBqJycydUPIkXNnr+LNQ0jN9zuE0ET71sicvUL4PBxC6eXX2BB6FIqOOy2EZsnLtPkhVCHZWD19RQjJ9uG5KYTkaWnk7hBSp4cjIVQjdma9/udCyOPj9Kzfr4fQETldeBhCvW9MvvPiVQhlOTNxY6MvIfR8//jht2JDSF03JIfofu4VSnnkZXBQKL3fGp/7UGSork+GUKqLYbU5Z6juo4VDSV1OiFAa0PN7o5Aqofp2QN1QCpYDoXkoXewNMR1C9bjoGUrycPQfHKrnG2NCaZWQ/yKUj1MoBWTBf60IJXWdtTGU1DR5dyi1ynY16OKRUFLXXedCSf7p0PVQklfV+R6GkrpceBVKEa5Zm7T5HkqX3gT/tCeG8v6E6fOjPYye4KozR9owwiip+CJnmD5PFgujY562EFExjNR8tm4Yqcu7VmF0YwsuULqHkZqGDgnTfWRCGL2shZnXf2E0O9+gXOlWhrHjMFLTu0Nh1Fde+J8P0/O222Gk+L8IY49htO/76q6v/4XRb1ymjA4KJ3Vdni6cHo7EmSNfuN7uiuH09U1hTM3DaUbW76lO9A6ns/KydWw4Yfa1pfW8cMo9e9WffBvCCRern1IOhtN0l3nbdl0IJ89Lx3HGDadRcsLzPJwSGgY36/Q5nORlYMKvcMLs7uY0lwjqKC/8AyLoZf9D5XaFR1ATOeHJEKHnB7kjSF2+Fo+gC//hhFkhgtQBrhNB8rRgtYigAnKi1TmCtu/yCi3bP4IyD85b696oCD6uEeTwHn/2z4IImntje/LUNRH0vCcu1HZEUKPCGOmHI/R893wEqcvhWxGkrs+eRVBpebn0MYIOGvjJ2AhSl2X/IujJ7Uy+O/0i9fwhLJJWFEPjSBepj3uuSFKn3aKR5I/2OqF8JE1otN47onYkyfaypVmk7vOdIilG3j7pG0ndBqBzjIyk9yVxgT8lUvf1+ZGk2t7qSD3et0Xq65pDkRT29ypmGpGk7h/cjCR5OfTjSSSNq1Nl+egPkZQU0e+hLSaSoHhnr8RIkncNLrk5aAsul9L6O3gcOmjzKMwUDAdhq1Nlz+igjflXThyb06EdFHTQg4AFD4uUcvB1iYPU7aAaDqq/uFa5Mg0dhNk+Zu4OGtsPjb+jg1zlhXYvB43JDNiDHOQiv0Y79HXPZAflfvK79v7ZDtqBtphqsYNyzehbruNqBz2bkcM4u9lBzTphBrjHQU/kjPaIg9S06oxDXx9cddBktM0xdx2kbgs9ddCkjY2u5H/nIK8x88tN++aguEz4DVEO2rcWDT7OQbiqrno+wUEF5G6lOEhfHxr0+nTJOv+8DD0+/A2a9S4mzZ3Uhh4/IYbuexEG5ZA3PiyDHPK2XTqDHt+Ir/c2k0GLqmOGkN0gdf8rt0Hy7oZVwKB7XsV7rEK2wVkgQ0GDfhTChBo5/PqEddkKGeTb4deBbUh1OV3Y0PM05O4c+NEihp5HINVxLmpQk5hpmU4i5WVl2WKG3h+k6+GHzSsXN0jdV0Gq+yIlDH08kWoeX9Ig+XEPkXXkBpYy6MVzfCHVeCttkJyevkOq86kwSF7GfkGuuosdIYNyyx9E4qda9itjUGU5wUPq86ZB7eSEAKlOe+UMPd8tb/C4R53k7bcKBmU+2ThmGnJvw4seqSsapAqDlGUJrWRQM3kBjVTzr8oGyc1bgXSXN0aqGCQ/bh1SXWdXNWjrFnwhi5aNPJ6rmkHqNh5S3Q+pbtArHxQa2UPuSA2D/hbBDyLVvKKmQeq+DlLPswxS9zeQx3Nhh2sbug8gHzXHHtcxSB62+0h5OBrXNWi0PHDIVLIw9Qye9xqUFbvbob5B+7Ebn5By87o1MOgWfu0PZAtZwIYGyR/7hRwkvxoZ5ClvHCDV7ebGBsnTiEsTjMf7KDSyuNyRpgaheh+mIBvIGyLNDHpTADM4pBx+9uYGJWNYLUBOxXCJbGGQupxDrpfTpZYG5cdhW4OUhyNTK0PPV5DqfNTa0OcvpNzdfG0MGovd2IdU9zXaGqTuwyCzywK2M+ggfuw0srz8am/Qnad7Gl5EtpIDtYOh55fIobLQHQ3yljuClMO+YSeD5HB+jNyJYdq8s0Hqfi1SzTO7GNRI7jBS3R/rapC63YVU9x+6GTQdhyMGKcs8oLtBG1G+P8iC8hf3MEjubgqylgTS06Bn2DyPXgap+55I+XF+vQ0ajx+bgQyWX30MknznIXPKgdrXIMltSV923o+d92Pn/dl5f3Y+gJ0PYOcD2flAdj6InQ9i54PZ+WB2PoSdD2HnQ9n5UHY+jJ0PY+fD2Tkynbqxy85HsPOR7HwkOx/Fzkex89HsfDQ7H8POx7Dzsex8LDsfx87Hs/Px7HwCO5/Aziey84nsfBI7n8TOJ7Pzyex8Cjufws6nsvOp7HwaO5/Gzqez8+nsfAY7n8HOZ7Lzmex8Fjufxc5ns/PZ7HwOO5/Dzv9j5/+x87nsfC47n8fO57Hz+ex8PjtfgHoemuEVtYCdL2TnC9n5Ina+mJ0vZudL2PkSdr6UnS9l58vY+TJ2vpydL2fnK9j5Cna+kp2vZOer2DkSs9ZBuVaz89XsfA07X8PO17Lztex8HTtfx87Xs3Nk1WHj8lTfwM43sPONBs+j2fkmQ99HQqrpw2aD5NOf10h1P2+Loa+fkTK6bkU95YMG5Jf5e3Cli3rmwkhHesod2I56NscPIPVzDYPw6Z1ddhr6vhMSs/QZXrsM0s+ZUM/P+KDdqKecuCPVfGkP6rnrNf4G9axcOylir0HrXp4IXIbML3/hPtRTPc9CPeXjwf2YD8jHcPvZ+QF2foCdH2TnB9n5IXaOPNgWM6LDqKd8fIK8PQc7cMTg6wvU81SxDFWPGiRv+15HekeFVa59DPWcNKHp3WPs/LhB8innY2TJmviEE+ibuFx4iVT3m06ib4bgCgIpy935lEH6eQ36JsrT6zT6ppwmIuXuDDiDvqlu2KNv4tcPO2uQ/NgUpHoecg59Uz1ARN9c+HzuJKQ82n4X0DdlgZFylhZ0EfMm+QPIwxj+YZfQN+WNYeTdY2+xReib8kAgf3zFjl4xSA0bpJ7noZ7yMCPl4ctzDfWUhwWp7oNfN/i6y9D3UW6gb8rdRsrdKXPTILWZSHV/5xb6pvxYpLqOu42+KQOpn5sZVFsOAOSLubLA6JtyB5Dq+uYe+iaq/hapnt/cR9/EcP2MlMOw+wN2jqysPsggjNocv5Ht5MT3EfomDl8SUj2Wfoy+KQvyBH0TZZyAVPfNnxr6Pg5SDbxn6JvYzDnIZrJwz9E3u8oNQ9+UE+8Xhp5/I9X130tDXy8i1f26V+ibcgdesfPXBqnhj1TPMd6gb8qBgpSjothb9E05vJDq+vYd+qYcDkj1PPw9+qY8fO/Z+QeDVLmRHeQv/MjOkfo5Bzv/xM4/s/PP7PwLO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/yc5/svModh7FzqPZeTQ7j2HnMew8lp3HsvNf7PwXO49j58hO6sBifiTbDFJd98ejb8q2gJRR5I9BivEfdp7AzhPYeSI7T2Tnf9n5X3aexM6T2HkyO09m5ynsPIWd/2Pn/9i5i6mdI5VzV1M7RyrnbqZ2jlTO3U3tHKmce5jauaepnSOVcy9TO0cq596mdo5Uzn1M7RypnPua2jlSOfcztXOkcu5vaudI5TzA1M6RynkqUztHKueBpnaOVM5Tm9o5UjkPMrVzpHIebGrnSOXcZmrnSOXcbmrnSOU8xNTOkcp5qKmdI5XzMFM7Ryrn4aZ2jlTOI0ztHKmcR5raucPUzpGqPIapnSPVwDNN7RypnFumdo5UP+40tXOkcp7G1M6RynlaUztHKufpTO0cqZ9Xmto5UjnPYGrnSOU8o6mdI/W6F1M7RyrnmU3tHKmcZzG1c6RyntXUzpHKeTZTO0cq59lN7RypnOcwtXOkcp7T1M6RynkuUztHKue5Te08j6mdI9UwzGtq50jlPJ+pnSPVYc5vaudI5byAqZ0jlfOCpnaOVLtdyNTOkcp5YVM7R6qPLWJq50gVRU3tHKmcFzO1c6RyXtzUz3uQynkJUztHKuclTe0cqZyXMrVzpHJe2tTOkfr5kamdI5VzYufEzsuw8zLsvCw7L8vOy7Hzcuy8PDuvwM4rsPOKJr1eKZpOqcjOK7HzSuy8MjtHrpvf+UBEFZPy5Xp4aSny5LkKT51V2XlVdl6NnVdj59XZeXV2XoOd12DnNdl5TXZei53XYue12Xltdl6Hnddh53XZeV12Xo+d12Pn9dl5fXbegJ03YOcN2XlDdt4I9Tz181o0Ut03box64o/xyJryQWYTdt6UnSN/y+VJzdg5Ut+HZudIdV+pBTtHVnzq3BLW0tT3Z5Gt/ZJumK3QN1d3fb0SKVd/pW9tks/tSl4bkOp5dxvUU65KQ6rndW1RTzng2rLzdqgnNvdQO3benp23Z+cd2HkHdt6RnXdk551QT0d9n9ud2Hlnk55XwZHuzM67sPMu7Lwr6rnp68C3SHVfrRs778bOu6OeXqhkd3bew+TnWOibKOfgnibfnzdJ7v6oXuy8NztH7jmDDepj6vu/SLX+oq+p7/cjP8nH6v3QNw+V27UQKfk5+pv6eTvSkjeiB6BvhqUkrEUW2dE9IMtA9E0M2y3IunIHB5n6PjSyh3wQMJidD2bnQ9j5EHY+1NTnc6Ra9zEM9ZQgkOq50XCT5G7dQMbI5SIj2DlSPWcYaerne0j5x5ajTH1fHqnWI4xG3zSx4cjm8i/GmPzcAn3z7ZULvceapJYHIv+z4QCMM/XzOqRatzXeJDl8XCaY+jkIsr4cSBPZObKXLMQk9E2UfRZSPReejL4pFzhMZudT2PkUdj4VfVNuEFKtb5qGvol/tgmp1mFNR9+U65CQ8rFuvhnom3KdGTKb/IuZJmEUjzmCVM8jZqGeGN6nkHLYlpuNvjkQO4hUz4XnmCSHzzXkvFIY6P+hb8oFbUh5GBvONfXzVqRaNzPP5Oc5JskytZ2PvikHHFKt21hgktzcr8hIuUEL2flCdr6InS9i54tNkkxTkF3khi9h50vRN9/H1Zi0lJ0vQ9+Uy+yWsfPlJsnhOHc5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw86RV7Fbhdayc6RaF7kOfRMffwIp/1mZ9SbJP55DGvLAb0DfBNMrSMmvxkZ2jpRc6m9i58hucoBsRt/EsH2OlMOx9RZ2voWdb0XflAMdeVQuO9vGzpFqveF2dr6dne9g5zvY+U70TeyW2y7Mj2TBdrHz3ex8Nzvfw873sPO97HwvO9/Hzvex8/3sfD87P8DOD7Dzg+z8IDs/hL6JYXEAqdanHDb183LkGhwecYTP50fY+VF2fpSdH2Pnx9j5cVM/9zrOzk+w8xPs/CQ7P8nOT7HzU+z8NDs/zc7PsPMz7PwsOz/Lzs+x8/Ps/Dw7v8DOL7Dzi+z8Iju/xM4vsfPL7PwyO7/Czq+w86vs/Co7v8bOr7Hz6+z8Oju/wc6RIVPMQsVusvOb7PyWScdqde5+Bln144ORFW6b+vnjbXZ+h53fYed32flddn6Pnd9j5/fZ+X12/oCdP2DnD9n5Q3b+iJ0/YueP2fljdv6EnT9l50/Z+TN2/oydP2fnz9n5C3b+gp2/ZOcv2fkrdv6Knb9m56/Z+Rt2/oadv2Xnb9n5O3b+jp2/Z+fv2fkHdv6BnX9k5x/Z+Sd2/omdf2bnn9n5F3b+hZ1/Zedf2fk3dv6NnX9n59/Z+Q92/oOd/2TnUew8ip1Hs/Nodh7DzmPYeSw7j2Xnv9j5L3Yex87j2Plvdv6bncez83h2/oed/2HnCew8gZ0nsvNEdv6Xnf9l50nsPImdJ7PzZHaews5T2Pk/dv6PnbtY2jlSOXe1tHOkcu5maedI5dzd0s6RyrmHpZ17Wto5Ujn3srRzpHLubWnnSOXcx9LOkcq5r6WdI5VzP0s7Ryrn/pZ2jlTOAyztHKmcp7K0c6RyHmhp50h1Pk9taedI5TzI0udzpDqfB1v6fI5Uzm2Wdo5Uzu0Wr5+ytPMQSztHKuehlnaOVM7DLO0cqZyHW9o5UjmPsLRzpHIeaWnnSOXcYWnnhqWdI183+OzqZVraOVI/D7a0c6Ry7rS0c6RynsbSzpHKeVrUU65TRirn6SztHKmcp0c91UIWSzvPYGnnSOU8o6WdI5XzTJZ2jlTOM1vaOVI5z2Jp50jlPKulnSOV82yWdo5UzrNb2jlSOc9haedI5TynpZ0jNwxc3L9nLks7RyrnuS1eb2Vp53ks7TyvpZ0jlfN8lnaOVM7zW9o5Ui3zKWDp9YpI5bygpZ0jlfNCll63jVTOC1uklm0jMxy4cSdrEdSzRqn3W5Gl5IKhoqjncIffHmRjdeKx9DoiZL9yHcuUKI56Pr1X7wRSOS9haedI5bykpZ0jlfNSlnaOVM5LW9o5UjkXlnaOVM6JnRM7L8POy7Dzsuwc2fZrzhl9y7Hzcuy8PDuvwM4rsPOK7LwiO6/EzpFNUcXAyhbJ0+gcpF4PhXp6Ne+6EDlr+ZXhjqqWXieOVOtBqqGecjkmUi73yVzd0utNkOp1lxoW4eScvBOZKA9TTUuve0CqstayaI18fQip1mvVtvT5HKnO53UsfT5Hql9T19LrXpCj5LfrWXo9NhKj63uj+qin/AZSreNoYJF6XQh5E0e5fUPUE3vzEamWszdCPdU/RD3lAp3Gll5/g0yD4TGwCeoZL1+oQj1lAZqinpnxC5BqPWEzdt7cIlmuKcgklCGgBfomdm8WMkxtiKXXDSLVOqBWll53hqxuk28QsHOkWkfVBn3zEb6BHNNbvjnEzpFqHVs7S6+DRarh294iOSyPINV6pA6Wfi8BqYZHR4vXOaNvygJ0skgepmtItb68M/omynoHqcrVxdLrL5F63b+l1xsi+8jN6Ya+KZf5I9U/726Rer+pOzvvgb4pNxiJKuIb7Bwp2QztZZGctSUj1fqx3uibS7FjfSwKkv8QuQLDza8v+qYa4Oy8HztHqvXA/dE31S+wSJbfHMDOkXqdNDsfyM4HsfNB7HwwOx/Mzoew8yHsfCg7R8oqlhlmkfzpc0j13ttwS6/PRaphPgJ9U+4YUq+/t0gOtwdI9V7eKPRNDI/nSHXYR6Nvyvd8kGo90xiLZPk/IyvLso616H49OVLY+TiL1x9bej33ePRNbM5fpPo1E9A35YCciL4pv40UqqDom+A6bRI7n8zOJ7PzKex8Cjufys6nsvNp7HwaO5/Ozqez8xnsfAY7n8nOZ7LzWex8Fjufzc5ns/M57HwOO/+Pnf/Hzuey87nsfB47n8fO57Pz+ex8ATtfwM4XsvOF7HwRO1/Ezhez88XsfAk7X8LOl7LzZex8GTtfzs6Xs/MV7HwFO1/Jzley81XsfBU7X83OV7PzNex8DTtfy87XsvN17HwdO1/Pztez8w3sfAM738jON7LzTex8EzvfzM43s/Mt7HwLO9/Kzrey823sfBs7387Ot7PzHZgfSVg72PlOdr6Tne9i57vZ+W52voed72Hne9n5Xna+j53vY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnR9j58fZ+XF2foKdn2DnJ9n5SXZ+ip2fYuen2flpdn6GnZ9h52fZ+Vl2fo6dn2Pn59n5BXZ+gZ1fZOcX2fkldn6JnV9m55fZ+RV2foWdX2XnV9n5NXZ+jZ1fZ+fX2fkNdn6Dnd9k5zfZ+S12foud32bnt9n5HXZ+h53fZed32fk9dn6Pnd9n5/fZ+QN2/oCdP2TnD9n5I3b+iJ0/ZueP2fkTdv6EnT9l58/Y+TN2/pydP2fnL9j5C3b+kp2/ZOev2Pkrdv6anSPrVlk+OvMb1FO+H4nsPnjo+pxvLUpI/fngTqRel8rO37Hz9+z8PTv/wM6RDwv+LFrhIzv/yM4/sfNP7PwzO0fqdfPsHFkmut21Fl/ZObK5fP3mm6Xfa/rGzr9beh3+d3b+wyJnWNcasUj1/vpPdo688Gz/+OFRqGf/jAv/IdV7DtGo51rXY54xFv0t3vvGZOSUOy9e+ceinviYmUj517ZfqOfi7BHzkSfy4j/iLFLvkyIfy9f6f6Oe8kVtpHw9IGO8pdcLIwPlP/hj0dIGK7duR2b7nupE3gR2jixnfn1TOJGdJ7Lzv5Zen/6XnSexc6R+n4CdJ7PzFHaews7/sfN/7NzFqZ0jlXNXp3aOVM7dnNo5Ujl3d2rnSOXcw6mdI5VzT6d27uXUzpHKubdTO0cq5z5O7RypnPs6tXOkcu7n5Pc7nbyO26mdI5XzAKd2jlTOUzm1c6RyHujUzpHKeWqndo7U71k4tXOkch7spE0YxueQyrnNqZ0jlXO7UztHysNfL8RJ6v175ITht/Y2CXWSLURceIbE0XzUKgz1lAcQqd4DCXdSpb4Qg7zv2zl99wjUc/WDgj+R0FCpbyTqiY+JQ/rJF7scTv1eCVK9f2ignvL9chP1lAMWea0FRpqFesoXU5FyuKdyOkkO49lIN/mCRRrUE8NuIVIOJ0da1BPDZDmyiHwBOR3qKV/LRirn6Z3aOVI5z+DUzpHKeUbUU24AUm5+0UxOfs/Lqd/nyOwk+TFnkMp5FtRTbihSsq2WFfWUoJABcsBmc5Lkcw+pnGd3kvr/QyCV8xxOUq/PIJXznE7tHAldYV1zObVz5JyR+ODcTu0cqZzncVIxlDcBqZznderzeT6nPp8jlfP8Tu0cqZwXcGrnSOW8oFM7R6rzeSGndo5Uzgs7tXOkcl7EqZ0jlfOiTu0cqZwXc9KB8Rg4SOW8uJPk4T+MbCk/uIRTO0fKw1CupJO85ABDKuelnCTLcQ2p3s8s7aQS8kUjpNysBsJJDeVARL6Vr7OQU7+HhEzpgA0t46RpyfgPJKrv27msk/BbzK9I9Z5+Oad+rxGp3msq76SnGMbxSP3eoVO/D41U72FURD3lgankJHn4JyJzyA+u7KRDOFzTkfIwpK7i1O+9IVvLA1gV9UQ5FiPlbprVnOSDzV+JlJuVvrqT5K9bj9yFj8law0nyr7cioXV37ppOaiz/A/le/u8wajlJMjuIdJEDorZTv8eDVO/b12HnyEISXl0nyWF3BSmHU416Tv1+Vj12Xp+d12fnDdh5A3bekJ03ZOeN2Hkjdt6YnTdm503YeRN23pSdN2Xnzdh5c3benJ23YOct2HlLdt6Snbdi563YeWt23pqdt2Hnbdh5W3belp23Y+ft2Hl7dt6enXdg5x3YeUcn/Q9itA0g</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="312">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0SFLBEEYgOE1Ciab7UD8D8YTNhoM5ksGBbGKoLIGDSYNgpiumCyKf+DiBYtNxGoRf4OI8+0s3HILHhgMz1Nedmbnuzm2KABgRtVmf6b19n7TsmNO+bv3us79ldEg5vUOo6Or6N1j9Os5evSZunE2v/bTp8FS6sf6cur5yUrq67iXuv2ymHq9MJdarb6n89VwHPP2HqK7t9G3m2h5Gb0/ru9zGr04iA6ryf1872K/3t/pT/yv3LxebU1/bubUur5jbvt3mnPl9Pc727pPnpfXAQAAAAAAAAAAAAAAAAAA+De+AWErSns=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=266.090 Q3=134.200 sample=32 experiment=1 RT=1.65 ce=-30.00 name=adenosine" defaultArrayLength="2265" index="77">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="266.0895" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="134.2" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="248">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0qEOwjAQAFA+YRLJJ+CwODQGhcGQkGDAEcwwhM/gUyb5LERbyC4sWxAkJO+Zy7W3663paAT8t8W8nc/mn6redWU/5nE9a1YD+/cpfYfOu+xZL31iXTwn/lesj+d33Ee9T7HZ5nyd4n2X4mTT3n/dWzkv9o1zhXlf3+f16pDPO+X8nOL0luL40s6ra7vukffrY5iriHNFXfP3vaeuONS37w0AAAAAAAAAAAAAAAAAAAD4pScpYSyQ</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=269.249 Q3=269.249 sample=32 experiment=1 RT=0.52 ce=-10.00 name=C17:0_heptadecanoic_acid" defaultArrayLength="2265" index="78">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="269.2486" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="269.2486" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="208">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztzysKgkEUgNG/uguXYLdM0CgIbsBos7gAo8Fu/bG4CYNLMAuCxRf41gWIc7dgEDmnfMxcZoYpCvgtqbNPnw4r29zyustN82PuphktL4foINapfop57xrnV49Yr++5t9Yzt1bEfrfxyl2OY76YRNuzaLUf9yxG53hnGvtluqSvfBQAAAAAAAAAAAAAAAAAAAAA/sQb4oUutw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=277.217 Q3=277.217 sample=32 experiment=1 RT=0.55 ce=-10.00 name=&quot;C18:3_n-3_(9Z,_12Z,_15Z)_alpha-linolenic_acid&quot;" defaultArrayLength="2265" index="79">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="277.2173" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="277.2173" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="236">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztz7FpAmEcxmFrQbCxsBPrFBYOcKQOTmDhApIUDnCFAziAhSNkhKsts4CCaCGIByYkFxHE7z+CjcLzND++7+5euFoNHkve3WW3dsab1PV7nIuvQ2reL1OzerR4PaWOGt+pn8Nor/pJnb39py5ezqkfl7/YmV5ifxv3zWUVe/PfeH8QO0Urdsp2fFdO4rxYHeN5tc/u/GUAAAAAAAAAAAAAAAAAAAAAeGpXCXszvw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=282.084 Q3=191.900 sample=32 experiment=1 RT=2.80 ce=-30.00 name=8-hydroxy-2_-deoxyguanosine" defaultArrayLength="2265" index="80">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="282.0844" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="191.9" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="184">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0rENwyAQBVCPRpMRUrtyk8ZSpDRpEm+QkTyKR3EBLsCKYnDK95rTIe4LEF0HAPzHJdT1Z/Nb54/m1O4v5xr3z33swzVk/bfc5RXXlzHWzz2fL3Nrz7fNvW8p/5nyp1SHVB/5OXbv1/r+P2z3LOvp/wIAAAAAAAAAAAAAAAAAAHDcCpy4Hk4=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=283.264 Q3=283.264 sample=32 experiment=1 RT=0.54 ce=-10.00 name=C18:0_stearic_acid_" defaultArrayLength="2265" index="81">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="283.2642" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="283.2642" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="240">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0LFKQmEYx2Enx6BJqAgya/ISEo5TXYBD0KTzWYOmNjFCdLKp0cGxCzjQDbQoBEF34VZTnPe9BsHgeZYfH/x5h6/RgP1QDLdF3bfxQb9uWR1Gl71WtHt7FB185ruaHUdXz2fRh5vsaN2JPt5nq49sOck2f9rRzftF9Pf1Mnr1fR59KXL3Nc/dU5V3p9e5my1yd3J32t/JRwAAAAAAAAAAAAAAAAAAAADAP/MHtngiDw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=305.249 Q3=305.249 sample=32 experiment=1 RT=0.53 ce=-10.00 name=&quot;C20:3_n-6_8,11,14-eicostrienoic_acid&quot;" defaultArrayLength="2265" index="82">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="305.2486" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="305.2486" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="220">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztz79pQlEUwOE3QkZwAXd4gmQMSZkJ7BTBwpR2tgEziCMoD/yLYAIqBgJqEm3FezawEvm+5sc5p7jcLIP78DbKKte2imWeFs0i+jpOzZ/n0XY0m62iH5vU1uI77sNDzL3f1Jf6OdqJPk1j3y3+oo3/6OSYOij/pJaqu+h+nfpe28bc/4p3T5/57b8FAAAAAAAAAAAAAAAAAAAAgMdxAQdKLx8=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=307.264 Q3=307.264 sample=32 experiment=1 RT=0.53 ce=-10.00 name=C20:2_eicosadienoic_acid" defaultArrayLength="2265" index="83">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="307.2642" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="307.2642" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="208">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztzD0OQUEUgNFXa2iUEgvQiX5qrUJrBRagsgd2oLEJiVp0GhLFo/AbsQAK8a7GDiTOab7MvTOTZfAbKqNHenfY2hZNzVXRrLsuOh9sYj+J5rM89tNd3G/s497yEPvuMebjS7xbROvl2+ddNO/ci/ZqsU/9U8zb55iXoql6/f7nGWcAAAAAAAAAAAAAAAAAAAAA+Hcv9KAt+w==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=309.280 Q3=309.280 sample=32 experiment=1 RT=0.53 ce=-10.00 name=C20:1_eicosenoic_acid" defaultArrayLength="2265" index="84">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="309.2799" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="309.2799" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="240">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztySFKgwEAhuFZZMUFi8MyGYahBsVq+G0Gw0AxLUzBC5gNnsC0JOwKwwuIu4CwYHVhxZXBghZBGPv+Swz2POWF76tUYDUUJ3/FssPaV1pcj9O900n6dP9d7h/TtPsyS1+P5unx+0/5f/6mo+Z/2u5snC9bbW2mo6ut9LK/nV7c7aTTXj19PNxNe7eN9PlsP+2+tdLBzUH6UCsLAAAAAAAAAAAAAAAAAAAAAOtuASXnJBw=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=343.125 Q3=59.000 sample=32 experiment=1 RT=3.80 ce=-45.00 name=maltitol" defaultArrayLength="2265" index="85">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="343.1246" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-45" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="59" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="196">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0b0NwjAQBtCMljoj0KajQnKNxAiMxggZBYnEkfKB5dToveZ09vn8NwwAAPyd1338xMdljc/beJhf5jVfylY3Rbwe62ufPU4xn+tPztd+X/uc7Rfn7O7X6Ndc37lvK++eJ+8Zef2fVp7/Wt+hju//O8d4ifpcV37nVfYFAAAAAAAAAAAAAAAAAIDNG8T0Ris=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=346.056 Q3=78.800 sample=32 experiment=1 RT=4.40 ce=-45.00 name=AMP_(adenosine_monophosphate)" defaultArrayLength="2265" index="86">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="346.0558" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-45" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="78.8" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="112">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0cEJwCAMQFFH6gjZf6qeG2hpAtUK712C4uEHxwAAAOY44nnuIuJ6Xt2fe+7kzmp39/3b/67ez/Z1x1/2BAAAAAAAAAAAAAAAAAA6Th1pCAE=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=361.202 Q3=331.300 sample=32 experiment=1 RT=0.59 ce=-15.00 name=cortisol_" defaultArrayLength="2265" index="87">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="361.202" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-15" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="331.3" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="140">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0DEKgDAMBdAerEMO4Orm4i0cPYpH8WiC0EJLNwehvLcEPkkamhLf5fj7gincR7w11raey7jWf89t3s9d+3i+5LGN95a8f6dX+4qur+4FAAAAAAAAAAAAAAAAAAAAgDk9edUV3g==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=391.285 Q3=345.400 sample=32 experiment=1 RT=0.81 ce=-45.00 name=deoxycholate" defaultArrayLength="2265" index="88">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="391.2848" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-45" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="345.4" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="312">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztzr9qwlAYhvFzCQXXbt6Aq0Mho95BN0EQAkKlIUMHS6MVuxaHLnUIpUO3opMUCkqnLqWlQ4NTBq/AKxDyfhlO8QIEn9/ykPMvn3PAgei/BUVf39W/D7X+UzSpZkWDWHXNX62vv9T6p/q40n7Feja375m6tUYv6sWTev+sJg/qqXVjXUzVdKI27tTayO6N1ZNL64267Ni52NYH/n5y7e+nkd/yvuv5TdtqHvrr5f/DW3++dKh+X/2b1+bIBv4c5Xt5d3+X53auZQUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMCx2gH+Ekcm</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=407.280 Q3=343.300 sample=32 experiment=1 RT=1.50 ce=-45.00 name=Cholate_" defaultArrayLength="2265" index="89">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="407.2803" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-45" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="343.3" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="464">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0a1LA2EcwPH7H2wicsGgbUUwrlgMsmLQNARhiEHmEJUJhwzdZE6cL0EFp+ALZoNNg2FB5cCgmA6bL6DMKiI8v98Jv6Fg9/spX557Xm7PzfMA/EnfXtL140Dativt35d2HknbdV1rTRpsSgtbUn9VOrUuTVSkuaqOt3V+TfeXpMVlfU/R7gt1fLeo6xfsvrAgjSp2nFux6+tzem5e12V1ftY+j8fhvG1dz+vQe0U7Oq/f5/pE2rh0TV7duKbHHuR5VRpkX139pScZdzVcExPvrqnHN9k3/eJaKz9LW2R/8vheOngr5/ZcSM9OpZ+H+jv0/8lv6P3Ker+S/R7hpI4DOw5npF63jvV7+Rk9Z+Dnng/ZeinbeL8/bvdFo03zGXtO0Gv72/nBiM4P2/V+2t6neV/s+z3xvZrfBwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA/qMvSwCDWw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=429.374 Q3=163.000 sample=32 experiment=1 RT=0.47 ce=-30.00 name=α-tocopherol" defaultArrayLength="2265" index="90">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="429.3738" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="163" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="136">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztzbEJgDAQQNEsZZ/G2srGRgvBRnAFR3MURxFMDEQcwOK95hNyl4QAPzFt8e7epYY2t8ntX/f5XOT5ONRzpUvqOdf7x1rvPf/F8fU+AAAAAAAAAAAAAAAAAAAAAPDlAgw4D6k=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=464.302 Q3=74.024 sample=32 experiment=1 RT=2.45 ce=-45.00 name=glycocholic_acid" defaultArrayLength="2265" index="91">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="464.302" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-45" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="74.02367" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="224">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0S0OwkAQBtAafCXn4AQVHAEPAoMiwWBI+DkAEoPpHeAAxfRMSBKmK1rTkNSUvGe+THd2st3NMgAYyGleDNLfNyetl+t2dvdVi6ZeRlabyHzXfN8Wrb40J62vDu06v3T2HyOn98jFM3Ly+ubpVkd9jjqbPSLrMvJ9jSz27bnpnEnffaTzd/t+fY+x+ff/AwAAAAAAAAAAAAAAAAAAGJEPOxwn6w==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=498.290 Q3=498.290 sample=32 experiment=1 RT=1.60 ce=-10.00 name=Taurochenodeoxycholic_acid" defaultArrayLength="2265" index="92">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="498.2895" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="498.2895" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="644">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=258.252 Q3=258.252 sample=32 experiment=1 RT=0.53 ce=-10.00 name=FFA16:0-d3" defaultArrayLength="2265" index="93">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="258.2518" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="258.2518" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="204">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztzT0OQVEQgFFLUelUNiDYhUZpGa9W6TVvB7ZgAQo1IYifCMITSom48xYhcU7zZe5NZioV+A2z6bP5bfO1TM3e85iHm9R1PZoVu5gP2/hfle/bfepkdIwOLqn55hpz+5HaqxXx3o9mjXv8L27Rzjn2nmJfPi73duNetSjvtuIuAAAAAAAAAAAAAAAAAAAAAPy7D65gNZg=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=411.306 Q3=347.300 sample=32 experiment=1 RT=1.50 ce=-45.00 name=cholic_acid-d4" defaultArrayLength="2265" index="94">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="411.3055" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-45" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="347.3" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt3GVg1EoUBeC6U9rd6iZZ3N2dubi7u7u7uzs83N3d3d3d3R0qlNLSlndm5vbPeZSyTW7mu5kkk1fL+LRvTM1qYszLxW9/RjcXOx61GljL2VEsPR2TuOFsD1H+/hkxal9fcaRKgFuOSQPF3mExu2p3GyqyR5Xol1RqpKCmUzpOmzNW5DTOTrkfMFE0HLHjQNtRU/jzposit7q4Ly88W1RX35jDn7NAZLMV69rXuVQsfNLhzuH9K8WJZd+GBI9eI/JW3+BXMdN6Ef7fhvrLRmwSj2PTu2TKsU1U/57/87MnO0XGGpuL/o3aLa40+tmid+xesW273OADYob7mTbDtx4SBdTXUfGk7TqPL0eOC7rs1612ulPiRmSdJ8bw02L8iutbbmKfbD/tjqV5z4l9TeIOP5l6XjQ896CJ4/0F8Sf3oYQm4pJYslh+XRYlPYYVexx7RURPjvedUeOaGPW41JDGm66LdOXTRC5yuym6v7v+K1PuW+L44hPnKjy9JQJr7ZzXYfJt0dJjVfsJhe6InYdnF1z/5o5w6TXG4/ysu2LStbED+1e5J8IP3nZ54XZfbFqddlqlY/dF0em9QncPeCAuDzyx0pHnoah172TwlU8PxasTgcsKrHkkem9ukXl5s8fCdd62XV6hT8Sk6O3pD9x4IsKfJW1LM/mp2HShWpEpZZ6JoruX4Mg9EyflP9v3XNRK+HLcv+cL8eptscoDsrwUHcuUOJLx9UvxN7RC+ko1Xon6dbOsmrLrldg+09d5zf5aeF39ujRw0GvRyltW7LUoMGLKtAOl3ojph7v5Jqx6Iz7E1ZhUwuOtEPnzeo7s9FYs6mkbd+rKWxH/rs3qBwXfiUbNdp/8tuKdKLkoy5eXPu9FuvvLQ+72fS/GVJMH8L3oOLldi2cVP4iq5x9Purnrg9hSItuG946PYtbglbcejf8ofv6QXx/FvRwdIt80/iQKrtlX5M+ZTyLiZfa2X3N+FoMbDB3tuvCzeOlZRHz1/iIqHohNvjf4i9jWcdexE5+/CHt4j2Gbmn4VcS7uufdf/SrU5pT8JuTomLz9G4+772LWmbiszWd9F7/77vlYweWHaJGh14Y8fX6IU6Plhv4QGV9kKVi4zU+RuoH/v6TbP0Wpgdlju2SNEjFlbna83ylKhFqX34t1UeJs+y2t69+J4rpHifpv1y89lzZa3F14qPPTctGibvWrhWI6RgtVhhnRIs2v7iASLbqoAkSLZZ+rNd/3PVpUObP1jntAjCie4rxZJnuMuJVme/m9FWLEtjITgka0jxGqbONiRIcJhTYFrYkRKeUSv389FSOeSj4vY8TBSVsmjEqJEXM3j61TxYoVe3L3XOtaMlbMrF2x19WmsQI7XWL+kFhR/8TQn2OXxorRPb5ka3U8Vhyu+KJ6qzexIjbNnV6tvH+JXs0fR9TM+UtsKnS9RM06v8SbwNMtaw78JVSbWPpLNDi9aV3NU7/EzCXLLtZ8/0v4PVzbu5RfnPglmeaME2nlx9SME34YTXG94kSN8akgIk7M/lJzapfDceJe7dnnM7yIE31uH5i0xfO32HrzfsNveX4Lxajpb/GsM6SM/y1CO6UpfXbHb1GrQ+lUno9/6/13j9fHMVe8SGq1dOiVRvGiUEt0lLHxeru3xYtNTf98nPUgXqyKc8/31uUP948/wi4PXIM/4tx02Sj+iALndqNCf8S7lv3SdbnyR8xPKBjSPvqP8Mj3dnTviASx/+q6ft1EgnbYOUHM+pj2/vJ5CeJW4phFfU4liHp9fr8u8C1BFI7pmGgLTxTNHnxZ9KpMohhzpGeRHd0ThSzDjcWJIkOm2g+/X0gUB0vVz5UUmyh8YssnG+n+isaqwH+FYj3sr8CHYOD+FdUueZdaev+vePnKf+5mtySRd0FS28t5krSf5kniDrqG79Qk8aru0erFDyaJfD7bzKbvksT5tLv6dg5OFmp4l0gWik37ZM10ZrLYv2HIxWxHkoXU8+R9skj+PeDVsuAUIUfBoDIpwnGqWdoyfVJE1YaNx/mtThFoJq3f30oRy0b8CTjq9k9E/6raZGLRf8Ldd2qadj3/icebr21cveqf6PHx7+boO/+4H7rQ1aaWvWSEC+Wr6zbgeW4Xinv6cEy/ii50qAM6TEsXGobRt3KAC5VGFy00w4Vazne2PrXehZ7/e3Kv3gkXOpw06dfThy7UpxRGVpQLZR0pO48rqT6Y3pWUs+KudD06fnBgXVfCb1uUpasrpf4wJbHIWFdSfXipK0m1Vfe50oC5ER4Nb7iS6tufXGmcX7rESy5uhMHlcjjcjZbkqlh1VW43avDhbu3ZFdxod+1uSwY1d6PLSwGzvxtvpxvZ1h8/Hb7BjSaNzemMPuFGh2jsm4uP3Ohonw7tika7kVWo2Kzlfu6USp7oMrjTLTmsS7jT3FY5E87XdaeGn129mnd1p8Gnr99MHONO8Tmmlp+5xJ0GLqh4ON1ed9L9yp1uJ++sUeq9OwVUqZf9Roo7fargUrVhhAdlmLM288d8HvRvBkBX8yB51kru4EEzFqIBj/agTAPclvgs9aDjdRekm7nfgxrkzb7ZfsuD2uTHf332oJ4FRx8kN08aWnhr6UaGJ0XfRIMp4Em+xoqW2ap50hfZhtp4UvfcOMMO9qQfQd/et5/lSTfLyA7tSXUy9r337pgnyY/bfNeT9svh9cWTFnQ+EJHN1Ysiqo3c/S7ci+JPFo6bl8eL7g/+nDlfZS9S/bC1F+WVA3aoFwXIAz3Xi+RZpf52L1LngwteVFa2uVdedHyQLJAXoVtBpDeNTumcaUkub9qycXjciwrepPpHS29KSVg7v/NAbwrs/4Q2zvAmM7//k9vrvaneq0Ef/hz1JjlZyHrHm9Lh7Frrkzc1Lrbv0sAUb1KOQ3zo4vwZr89l96HVu33LxQsfOoWzRM76PjTSKtqpfBcfPR5H+lDJNyPKtpvrQ/Ks2WAz/h57We2ED8k2SHd9aGMqbMBHH71/iT601B8HLtCXVJ9O70tB8hcX9qVj2Uvh1OJLnZPpWtHWvqT6QT9fwkkHndCXCqsJjy+pvrnTl0Y+SH1u+llfipPsHvhSqj7bpj395EsZF/6bPfKvL/8eP9qbb1nj62n9SJ5FhxTwozLXiqY1K/pRiWprn81u4kfFM1QdNq6XH6l2PN6PcPIeVmyxH911Dzh0bwd//5wfdZlnoIJ+lDCspPfmH36k+60/qT4b7k9BgW+bVcjpT12elsPsyZ/Sxi/BFvjTkHN/x1/o6M/H15+mbN9b8MoMf1LzrtX+pOZB+/3pxIeyd+Zd8ad/6WTn8Sc5nEr+9qfPB3e6fwwIoNkN1zxumzGAJKMrJQMIkzUM3QB9/HsEEA5Kr6gJAaTmpysCSM5ClxwMIN2nAujaj8tny34PoPX9up1c45OKRsq2lTEVqfmoSEV53GrvOdM0FfnIidPAVNrlf6lIHe6dqUidf6+lontLPlgbP6Wir/J05RVIrpJlxkAa4fDbM7h8IC1vhplT20DS89VAeiWnucsCyU1NZAMpw7zbT/c8CKQKcy7VmRsbSL6yEEGpSQ7DzjlTU7G05oWDVVOTnDXbOuPPf6MiB05ITZ9moQBrUtOuhXNL5TmTmsahzZR+nZowu6ibxSWISE4Qg4No46fKuf+lC6JSaqISRJhc3+pSLoiW1MUJqV4QyTYe3S6Ix1cQbU8zOdJ7fBDdzVqkfdi8IMqG2Lc2iAIXe37/tCeIzt7FROtMEA0JrPu8yu0gvV+vggiT9LDHP4KoErrTquQgvf0BwbqvGcGEk+Xk+GzBuj8VDabO6bsPHlohmCIy1/NcWzeYDmwG2JbBNL7+oLrVuwVT+kdXL68YFEyy/ceNC6aZXlFhlWcH09Hnh/bkW4bPwfTC2BRModOrfvHYF0xl29kn/jgZTL2LP0v36GowLQ9GA34YTIcxq7r/JpjkX4/6Hqz7eHwwqfmvq43KYnr20c9Gat5ut+nxZNooD6ZDxzLZSJ13c9uonjx9FrbRiLgXmEnaaPCHP8NKVrLRmhQ02Fo2WvFz44VqjWy0RE7rW9poAdpF1442alto3Pu4HjY9rgfYaG8AYA6zUeGS6LxjbHRETpMn2bgv2Ui27d1zbRSK2d+xxTbtZ6WNvvnNHnZ9vY3I3ubs3a02Old2e5cXu226jx60kZzd/DxuozRbwlISztroch45EbBR//2hf6/esOn+eA/fPxXyZ/ljfL/ivN9eL230c92iBd3e4fsYfY8+26i8HFA/8fMt/ova8stGi48umJ060UblyoTNGvzPRj8uoBF62OnuC0w4fO00+eauHBRo1+PLZtfHLdxOat5o2GniumyYmtnp4+56i2tlsBNO+icLZLGTav857DSifWu/pNx2etFn6sx3+e3c/+xUtvSnx9uK22ldNVvL+aXt9CDf6XFDytrJJwJXNhXtpOa9Ve26r9W0k5rGNLDTw0vyRGyn9TVRqXZ2Kocy9elqp9eYHo3tY6dRXY/1nzvYTtWjWq/YNMqu3U60cx+yU8MCjVu+nGenX3PGZItaaqdkOb1YbSc5y3u5BZ8vp68H7bRsJSaMZ+2Ur/+/bvVu2gnNMv/Qp3Z6FIWJzwc7n+fttDLm/rDwJDupeb1XCMn20SsohH40xR5GhujtzBBCzeQO5wyhYDkwCodQfO39UTdFCGFWf75ylRBqJycydUPIkXNnr+LNQ0jN9zuE0ET71sicvUL4PBxC6eXX2BB6FIqOOy2EZsnLtPkhVCHZWD19RQjJ9uG5KYTkaWnk7hBSp4cjIVQjdma9/udCyOPj9Kzfr4fQETldeBhCvW9MvvPiVQhlOTNxY6MvIfR8//jht2JDSF03JIfofu4VSnnkZXBQKL3fGp/7UGSork+GUKqLYbU5Z6juo4VDSV1OiFAa0PN7o5Aqofp2QN1QCpYDoXkoXewNMR1C9bjoGUrycPQfHKrnG2NCaZWQ/yKUj1MoBWTBf60IJXWdtTGU1DR5dyi1ynY16OKRUFLXXedCSf7p0PVQklfV+R6GkrpceBVKEa5Zm7T5HkqX3gT/tCeG8v6E6fOjPYye4KozR9owwiip+CJnmD5PFgujY562EFExjNR8tm4Yqcu7VmF0YwsuULqHkZqGDgnTfWRCGL2shZnXf2E0O9+gXOlWhrHjMFLTu0Nh1Fde+J8P0/O222Gk+L8IY49htO/76q6v/4XRb1ymjA4KJ3Vdni6cHo7EmSNfuN7uiuH09U1hTM3DaUbW76lO9A6ns/KydWw4Yfa1pfW8cMo9e9WffBvCCRern1IOhtN0l3nbdl0IJ89Lx3HGDadRcsLzPJwSGgY36/Q5nORlYMKvcMLs7uY0lwjqKC/8AyLoZf9D5XaFR1ATOeHJEKHnB7kjSF2+Fo+gC//hhFkhgtQBrhNB8rRgtYigAnKi1TmCtu/yCi3bP4IyD85b696oCD6uEeTwHn/2z4IImntje/LUNRH0vCcu1HZEUKPCGOmHI/R893wEqcvhWxGkrs+eRVBpebn0MYIOGvjJ2AhSl2X/IujJ7Uy+O/0i9fwhLJJWFEPjSBepj3uuSFKn3aKR5I/2OqF8JE1otN47onYkyfaypVmk7vOdIilG3j7pG0ndBqBzjIyk9yVxgT8lUvf1+ZGk2t7qSD3et0Xq65pDkRT29ypmGpGk7h/cjCR5OfTjSSSNq1Nl+egPkZQU0e+hLSaSoHhnr8RIkncNLrk5aAsul9L6O3gcOmjzKMwUDAdhq1Nlz+igjflXThyb06EdFHTQg4AFD4uUcvB1iYPU7aAaDqq/uFa5Mg0dhNk+Zu4OGtsPjb+jg1zlhXYvB43JDNiDHOQiv0Y79HXPZAflfvK79v7ZDtqBtphqsYNyzehbruNqBz2bkcM4u9lBzTphBrjHQU/kjPaIg9S06oxDXx9cddBktM0xdx2kbgs9ddCkjY2u5H/nIK8x88tN++aguEz4DVEO2rcWDT7OQbiqrno+wUEF5G6lOEhfHxr0+nTJOv+8DD0+/A2a9S4mzZ3Uhh4/IYbuexEG5ZA3PiyDHPK2XTqDHt+Ir/c2k0GLqmOGkN0gdf8rt0Hy7oZVwKB7XsV7rEK2wVkgQ0GDfhTChBo5/PqEddkKGeTb4deBbUh1OV3Y0PM05O4c+NEihp5HINVxLmpQk5hpmU4i5WVl2WKG3h+k6+GHzSsXN0jdV0Gq+yIlDH08kWoeX9Ig+XEPkXXkBpYy6MVzfCHVeCttkJyevkOq86kwSF7GfkGuuosdIYNyyx9E4qda9itjUGU5wUPq86ZB7eSEAKlOe+UMPd8tb/C4R53k7bcKBmU+2ThmGnJvw4seqSsapAqDlGUJrWRQM3kBjVTzr8oGyc1bgXSXN0aqGCQ/bh1SXWdXNWjrFnwhi5aNPJ6rmkHqNh5S3Q+pbtArHxQa2UPuSA2D/hbBDyLVvKKmQeq+DlLPswxS9zeQx3Nhh2sbug8gHzXHHtcxSB62+0h5OBrXNWi0PHDIVLIw9Qye9xqUFbvbob5B+7Ebn5By87o1MOgWfu0PZAtZwIYGyR/7hRwkvxoZ5ClvHCDV7ebGBsnTiEsTjMf7KDSyuNyRpgaheh+mIBvIGyLNDHpTADM4pBx+9uYGJWNYLUBOxXCJbGGQupxDrpfTpZYG5cdhW4OUhyNTK0PPV5DqfNTa0OcvpNzdfG0MGovd2IdU9zXaGqTuwyCzywK2M+ggfuw0srz8am/Qnad7Gl5EtpIDtYOh55fIobLQHQ3yljuClMO+YSeD5HB+jNyJYdq8s0Hqfi1SzTO7GNRI7jBS3R/rapC63YVU9x+6GTQdhyMGKcs8oLtBG1G+P8iC8hf3MEjubgqylgTS06Bn2DyPXgap+55I+XF+vQ0ajx+bgQyWX30MknznIXPKgdrXIMltSV923o+d92Pn/dl5f3Y+gJ0PYOcD2flAdj6InQ9i54PZ+WB2PoSdD2HnQ9n5UHY+jJ0PY+fD2Tkynbqxy85HsPOR7HwkOx/Fzkex89HsfDQ7H8POx7Dzsex8LDsfx87Hs/Px7HwCO5/Aziey84nsfBI7n8TOJ7Pzyex8Cjufws6nsvOp7HwaO5/Gzqez8+nsfAY7n8HOZ7Lzmex8Fjufxc5ns/PZ7HwOO5/Dzv9j5/+x87nsfC47n8fO57Hz+ex8PjtfgHoemuEVtYCdL2TnC9n5Ina+mJ0vZudL2PkSdr6UnS9l58vY+TJ2vpydL2fnK9j5Cna+kp2vZOer2DkSs9ZBuVaz89XsfA07X8PO17Lztex8HTtfx87Xs3Nk1WHj8lTfwM43sPONBs+j2fkmQ99HQqrpw2aD5NOf10h1P2+Loa+fkTK6bkU95YMG5Jf5e3Cli3rmwkhHesod2I56NscPIPVzDYPw6Z1ddhr6vhMSs/QZXrsM0s+ZUM/P+KDdqKecuCPVfGkP6rnrNf4G9axcOylir0HrXp4IXIbML3/hPtRTPc9CPeXjwf2YD8jHcPvZ+QF2foCdH2TnB9n5IXaOPNgWM6LDqKd8fIK8PQc7cMTg6wvU81SxDFWPGiRv+15HekeFVa59DPWcNKHp3WPs/LhB8innY2TJmviEE+ibuFx4iVT3m06ib4bgCgIpy935lEH6eQ36JsrT6zT6ppwmIuXuDDiDvqlu2KNv4tcPO2uQ/NgUpHoecg59Uz1ARN9c+HzuJKQ82n4X0DdlgZFylhZ0EfMm+QPIwxj+YZfQN+WNYeTdY2+xReib8kAgf3zFjl4xSA0bpJ7noZ7yMCPl4ctzDfWUhwWp7oNfN/i6y9D3UW6gb8rdRsrdKXPTILWZSHV/5xb6pvxYpLqOu42+KQOpn5sZVFsOAOSLubLA6JtyB5Dq+uYe+iaq/hapnt/cR9/EcP2MlMOw+wN2jqysPsggjNocv5Ht5MT3EfomDl8SUj2Wfoy+KQvyBH0TZZyAVPfNnxr6Pg5SDbxn6JvYzDnIZrJwz9E3u8oNQ9+UE+8Xhp5/I9X130tDXy8i1f26V+ibcgdesfPXBqnhj1TPMd6gb8qBgpSjothb9E05vJDq+vYd+qYcDkj1PPw9+qY8fO/Z+QeDVLmRHeQv/MjOkfo5Bzv/xM4/s/PP7PwLO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/yc5/svModh7FzqPZeTQ7j2HnMew8lp3HsvNf7PwXO49j58hO6sBifiTbDFJd98ejb8q2gJRR5I9BivEfdp7AzhPYeSI7T2Tnf9n5X3aexM6T2HkyO09m5ynsPIWd/2Pn/9i5i6mdI5VzV1M7RyrnbqZ2jlTO3U3tHKmce5jauaepnSOVcy9TO0cq596mdo5Uzn1M7RypnPua2jlSOfcztXOkcu5vaudI5TzA1M6RynkqUztHKueBpnaOVM5Tm9o5UjkPMrVzpHIebGrnSOXcZmrnSOXcbmrnSOU8xNTOkcp5qKmdI5XzMFM7Ryrn4aZ2jlTOI0ztHKmcR5raucPUzpGqPIapnSPVwDNN7RypnFumdo5UP+40tXOkcp7G1M6RynlaUztHKufpTO0cqZ9Xmto5UjnPYGrnSOU8o6mdI/W6F1M7RyrnmU3tHKmcZzG1c6RyntXUzpHKeTZTO0cq59lN7RypnOcwtXOkcp7T1M6RynkuUztHKue5Te08j6mdI9UwzGtq50jlPJ+pnSPVYc5vaudI5byAqZ0jlfOCpnaOVLtdyNTOkcp5YVM7R6qPLWJq50gVRU3tHKmcFzO1c6RyXtzUz3uQynkJUztHKuclTe0cqZyXMrVzpHJe2tTOkfr5kamdI5VzYufEzsuw8zLsvCw7L8vOy7Hzcuy8PDuvwM4rsPOKJr1eKZpOqcjOK7HzSuy8MjtHrpvf+UBEFZPy5Xp4aSny5LkKT51V2XlVdl6NnVdj59XZeXV2XoOd12DnNdl5TXZei53XYue12Xltdl6Hnddh53XZeV12Xo+d12Pn9dl5fXbegJ03YOcN2XlDdt4I9Tz181o0Ut03box64o/xyJryQWYTdt6UnSN/y+VJzdg5Ut+HZudIdV+pBTtHVnzq3BLW0tT3Z5Gt/ZJumK3QN1d3fb0SKVd/pW9tks/tSl4bkOp5dxvUU65KQ6rndW1RTzng2rLzdqgnNvdQO3benp23Z+cd2HkHdt6RnXdk551QT0d9n9ud2Hlnk55XwZHuzM67sPMu7Lwr6rnp68C3SHVfrRs778bOu6OeXqhkd3bew+TnWOibKOfgnibfnzdJ7v6oXuy8NztH7jmDDepj6vu/SLX+oq+p7/cjP8nH6v3QNw+V27UQKfk5+pv6eTvSkjeiB6BvhqUkrEUW2dE9IMtA9E0M2y3IunIHB5n6PjSyh3wQMJidD2bnQ9j5EHY+1NTnc6Ra9zEM9ZQgkOq50XCT5G7dQMbI5SIj2DlSPWcYaerne0j5x5ajTH1fHqnWI4xG3zSx4cjm8i/GmPzcAn3z7ZULvceapJYHIv+z4QCMM/XzOqRatzXeJDl8XCaY+jkIsr4cSBPZObKXLMQk9E2UfRZSPReejL4pFzhMZudT2PkUdj4VfVNuEFKtb5qGvol/tgmp1mFNR9+U65CQ8rFuvhnom3KdGTKb/IuZJmEUjzmCVM8jZqGeGN6nkHLYlpuNvjkQO4hUz4XnmCSHzzXkvFIY6P+hb8oFbUh5GBvONfXzVqRaNzPP5Oc5JskytZ2PvikHHFKt21hgktzcr8hIuUEL2flCdr6InS9i54tNkkxTkF3khi9h50vRN9/H1Zi0lJ0vQ9+Uy+yWsfPlJsnhOHc5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw86RV7Fbhdayc6RaF7kOfRMffwIp/1mZ9SbJP55DGvLAb0DfBNMrSMmvxkZ2jpRc6m9i58hucoBsRt/EsH2OlMOx9RZ2voWdb0XflAMdeVQuO9vGzpFqveF2dr6dne9g5zvY+U70TeyW2y7Mj2TBdrHz3ex8Nzvfw873sPO97HwvO9/Hzvex8/3sfD87P8DOD7Dzg+z8IDs/hL6JYXEAqdanHDb183LkGhwecYTP50fY+VF2fpSdH2Pnx9j5cVM/9zrOzk+w8xPs/CQ7P8nOT7HzU+z8NDs/zc7PsPMz7PwsOz/Lzs+x8/Ps/Dw7v8DOL7Dzi+z8Iju/xM4vsfPL7PwyO7/Czq+w86vs/Co7v8bOr7Hz6+z8Oju/wc6RIVPMQsVusvOb7PyWScdqde5+Bln144ORFW6b+vnjbXZ+h53fYed32flddn6Pnd9j5/fZ+X12/oCdP2DnD9n5Q3b+iJ0/YueP2fljdv6EnT9l50/Z+TN2/oydP2fnz9n5C3b+gp2/ZOcv2fkrdv6Knb9m56/Z+Rt2/oadv2Xnb9n5O3b+jp2/Z+fv2fkHdv6BnX9k5x/Z+Sd2/omdf2bnn9n5F3b+hZ1/Zedf2fk3dv6NnX9n59/Z+Q92/oOd/2TnUew8ip1Hs/Nodh7DzmPYeSw7j2Xnv9j5L3Yex87j2Plvdv6bncez83h2/oed/2HnCew8gZ0nsvNEdv6Xnf9l50nsPImdJ7PzZHaews5T2Pk/dv6PnbtY2jlSOXe1tHOkcu5maedI5dzd0s6RyrmHpZ17Wto5Ujn3srRzpHLubWnnSOXcx9LOkcq5r6WdI5VzP0s7Ryrn/pZ2jlTOAyztHKmcp7K0c6RyHmhp50h1Pk9taedI5TzI0udzpDqfB1v6fI5Uzm2Wdo5Uzu0Wr5+ytPMQSztHKuehlnaOVM7DLO0cqZyHW9o5UjmPsLRzpHIeaWnnSOXcYWnnhqWdI183+OzqZVraOVI/D7a0c6Ry7rS0c6RynsbSzpHKeVrUU65TRirn6SztHKmcp0c91UIWSzvPYGnnSOU8o6WdI5XzTJZ2jlTOM1vaOVI5z2Jp50jlPKulnSOV82yWdo5UzrNb2jlSOc9haedI5TynpZ0jNwxc3L9nLks7RyrnuS1eb2Vp53ks7TyvpZ0jlfN8lnaOVM7zW9o5Ui3zKWDp9YpI5bygpZ0jlfNCll63jVTOC1uklm0jMxy4cSdrEdSzRqn3W5Gl5IKhoqjncIffHmRjdeKx9DoiZL9yHcuUKI56Pr1X7wRSOS9haedI5bykpZ0jlfNSlnaOVM5LW9o5UjkXlnaOVM6JnRM7L8POy7Dzsuwc2fZrzhl9y7Hzcuy8PDuvwM4rsPOK7LwiO6/EzpFNUcXAyhbJ0+gcpF4PhXp6Ne+6EDlr+ZXhjqqWXieOVOtBqqGecjkmUi73yVzd0utNkOp1lxoW4eScvBOZKA9TTUuve0CqstayaI18fQip1mvVtvT5HKnO53UsfT5Hql9T19LrXpCj5LfrWXo9NhKj63uj+qin/AZSreNoYJF6XQh5E0e5fUPUE3vzEamWszdCPdU/RD3lAp3Gll5/g0yD4TGwCeoZL1+oQj1lAZqinpnxC5BqPWEzdt7cIlmuKcgklCGgBfomdm8WMkxtiKXXDSLVOqBWll53hqxuk28QsHOkWkfVBn3zEb6BHNNbvjnEzpFqHVs7S6+DRarh294iOSyPINV6pA6Wfi8BqYZHR4vXOaNvygJ0skgepmtItb68M/omynoHqcrVxdLrL5F63b+l1xsi+8jN6Ya+KZf5I9U/726Rer+pOzvvgb4pNxiJKuIb7Bwp2QztZZGctSUj1fqx3uibS7FjfSwKkv8QuQLDza8v+qYa4Oy8HztHqvXA/dE31S+wSJbfHMDOkXqdNDsfyM4HsfNB7HwwOx/Mzoew8yHsfCg7R8oqlhlmkfzpc0j13ttwS6/PRaphPgJ9U+4YUq+/t0gOtwdI9V7eKPRNDI/nSHXYR6Nvyvd8kGo90xiLZPk/IyvLso616H49OVLY+TiL1x9bej33ePRNbM5fpPo1E9A35YCciL4pv40UqqDom+A6bRI7n8zOJ7PzKex8Cjufys6nsvNp7HwaO5/Ozqez8xnsfAY7n8nOZ7LzWex8Fjufzc5ns/M57HwOO/+Pnf/Hzuey87nsfB47n8fO57Pz+ex8ATtfwM4XsvOF7HwRO1/Ezhez88XsfAk7X8LOl7LzZex8GTtfzs6Xs/MV7HwFO1/Jzley81XsfBU7X83OV7PzNex8DTtfy87XsvN17HwdO1/Pztez8w3sfAM738jON7LzTex8EzvfzM43s/Mt7HwLO9/Kzrey823sfBs7387Ot7PzHZgfSVg72PlOdr6Tne9i57vZ+W52voed72Hne9n5Xna+j53vY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnR9j58fZ+XF2foKdn2DnJ9n5SXZ+ip2fYuen2flpdn6GnZ9h52fZ+Vl2fo6dn2Pn59n5BXZ+gZ1fZOcX2fkldn6JnV9m55fZ+RV2foWdX2XnV9n5NXZ+jZ1fZ+fX2fkNdn6Dnd9k5zfZ+S12foud32bnt9n5HXZ+h53fZed32fk9dn6Pnd9n5/fZ+QN2/oCdP2TnD9n5I3b+iJ0/ZueP2fkTdv6EnT9l58/Y+TN2/pydP2fnL9j5C3b+kp2/ZOev2Pkrdv6anSPrVlk+OvMb1FO+H4nsPnjo+pxvLUpI/fngTqRel8rO37Hz9+z8PTv/wM6RDwv+LFrhIzv/yM4/sfNP7PwzO0fqdfPsHFkmut21Fl/ZObK5fP3mm6Xfa/rGzr9beh3+d3b+wyJnWNcasUj1/vpPdo688Gz/+OFRqGf/jAv/IdV7DtGo51rXY54xFv0t3vvGZOSUOy9e+ceinviYmUj517ZfqOfi7BHzkSfy4j/iLFLvkyIfy9f6f6Oe8kVtpHw9IGO8pdcLIwPlP/hj0dIGK7duR2b7nupE3gR2jixnfn1TOJGdJ7Lzv5Zen/6XnSexc6R+n4CdJ7PzFHaews7/sfN/7NzFqZ0jlXNXp3aOVM7dnNo5Ujl3d2rnSOXcw6mdI5VzT6d27uXUzpHKubdTO0cq5z5O7RypnPs6tXOkcu7n5Pc7nbyO26mdI5XzAKd2jlTOUzm1c6RyHujUzpHKeWqndo7U71k4tXOkch7spE0YxueQyrnNqZ0jlXO7UztHysNfL8RJ6v175ITht/Y2CXWSLURceIbE0XzUKgz1lAcQqd4DCXdSpb4Qg7zv2zl99wjUc/WDgj+R0FCpbyTqiY+JQ/rJF7scTv1eCVK9f2ignvL9chP1lAMWea0FRpqFesoXU5FyuKdyOkkO49lIN/mCRRrUE8NuIVIOJ0da1BPDZDmyiHwBOR3qKV/LRirn6Z3aOVI5z+DUzpHKeUbUU24AUm5+0UxOfs/Lqd/nyOwk+TFnkMp5FtRTbihSsq2WFfWUoJABcsBmc5Lkcw+pnGd3kvr/QyCV8xxOUq/PIJXznE7tHAldYV1zObVz5JyR+ODcTu0cqZzncVIxlDcBqZznderzeT6nPp8jlfP8Tu0cqZwXcGrnSOW8oFM7R6rzeSGndo5Uzgs7tXOkcl7EqZ0jlfOiTu0cqZwXc9KB8Rg4SOW8uJPk4T+MbCk/uIRTO0fKw1CupJO85ABDKuelnCTLcQ2p3s8s7aQS8kUjpNysBsJJDeVARL6Vr7OQU7+HhEzpgA0t46RpyfgPJKrv27msk/BbzK9I9Z5+Oad+rxGp3msq76SnGMbxSP3eoVO/D41U72FURD3lgankJHn4JyJzyA+u7KRDOFzTkfIwpK7i1O+9IVvLA1gV9UQ5FiPlbprVnOSDzV+JlJuVvrqT5K9bj9yFj8law0nyr7cioXV37ppOaiz/A/le/u8wajlJMjuIdJEDorZTv8eDVO/b12HnyEISXl0nyWF3BSmHU416Tv1+Vj12Xp+d12fnDdh5A3bekJ03ZOeN2Hkjdt6YnTdm503YeRN23pSdN2Xnzdh5c3benJ23YOct2HlLdt6Snbdi563YeWt23pqdt2Hnbdh5W3belp23Y+ft2Hl7dt6enXdg5x3YeUcn/Q9itA0g</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="476">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0qFLA1EcwPHTIIgYZIahZXHBYNgfcAa7xSIIIgwPQdlkjgkqjzlkDExqMKhgEosDg8WwMNAgMkTQeEVYMA6jiu/3ewd3LNj9fsqXd3vv7eB+ngfgT8yab5spSM2mNi9tLevvVW1J2inrOpCGq/p8w4/fW4rvS/7uzrlG54LEe+Xj+1oL8bXbb+alhWL/mlndvyT15vrf36lJHw91fSztXUj373T/k2242LVt3vfk+frAzG+yH8O2R37KNqiN2YZdWee+07aXI7J+OR+XfTejts32kG190rPNFD/t/a2Vd1uTerX1J57lfwfb0q9baeNaOnUlzZ1Jp0/1/XWdPZHWD6RvDelDVZo20sqePte12dH7KrrW7xfNh54Pd+P7zVbi/HZ8v5vDaF4S+91cRN+rHH/u6s67OYy+f2Ku3HxEc6d1cwYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP6lHxs1gKE=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=183.082 Q3=82.000 sample=32 experiment=1 RT=2.10 ce=-30.00 name=hippuric_acid-d5" defaultArrayLength="2265" index="95">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="183.0824" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-30" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="82" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="296">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0SFOA0EUBuCVSI7APTDrsMjKFQgMCRcg1FTgsDWkggNUEgy9ACFND0BxRZEmTbBN5s2Q7CQNa0B9n/mzs2/fm5ltGgAGG7ftn74fOr/krMvP5/2+i1G/bvD+cp/y/fFt5OYu8ukxcvSScvG2TLk+/Ug5W32mnB9tI892Kbv3yJOHr5TtMurHz6/R73se2U3z/Ene503k/XVev4hcX/bPV+6h7Lu56teV7+r7K+et10t9UdeVeb85dN/1vEP19f/4Od/A/gAAAAAAAAAAAAAAAAAAAPBP9ubASyw=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=169.103 Q3=152.100 sample=32 experiment=1 RT=2.52 ce=-15.00 name=phenylalanine-d5" defaultArrayLength="2265" index="96">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="169.1032" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-15" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="152.1" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="376">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0qFLA2EYx/Fh0TjEJmgcgmHRIpzh/gJZ9gwrGpQhCAY9m6BhK4IwEIdFGLg2g2ATg8HhnyCDgQbTgiCI7+/eg/cZuODi91O+PHfvvbfdXaEAAMCERVtRMKcb2Vw1rYTr8uNePGb2zD7pThSur5rZ7Jf/vkq4zv8Pf35knb+fPW4b/z1/7qmDE/Xx1jWdenZNvt81v06v/fb+aMF1rrvkOtwuub50F13Ls0XXZP7LXRctv2nfZk9df1JrD2r/Tl3NutlRV27Uw7baulZnrtR2Sz27UHcv1Y/zsJ2Gmp6qST3b51it76vlAzX/fuz7yp7XyPdkn6sVjzkPAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPivH18BTCY=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=121.100 Q3=121.100 sample=32 experiment=1 RT=3.11 ce=-10.00 name=proline-d7" defaultArrayLength="2265" index="97">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="121.1001" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-10" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="121.1001" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="540">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=121.045 Q3=76.100 sample=32 experiment=1 RT=3.97 ce=-15.00 name=succinic_acid-13C4" defaultArrayLength="2265" index="98">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="121.0445" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-15" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="76.1" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt3GVg1EoUBeC6U9rd6iZZ3N2dubi7u7u7uzs83N3d3d3d3R0qlNLSlndm5vbPeZSyTW7mu5kkk1fL+LRvTM1qYszLxW9/RjcXOx61GljL2VEsPR2TuOFsD1H+/hkxal9fcaRKgFuOSQPF3mExu2p3GyqyR5Xol1RqpKCmUzpOmzNW5DTOTrkfMFE0HLHjQNtRU/jzposit7q4Ly88W1RX35jDn7NAZLMV69rXuVQsfNLhzuH9K8WJZd+GBI9eI/JW3+BXMdN6Ef7fhvrLRmwSj2PTu2TKsU1U/57/87MnO0XGGpuL/o3aLa40+tmid+xesW273OADYob7mTbDtx4SBdTXUfGk7TqPL0eOC7rs1612ulPiRmSdJ8bw02L8iutbbmKfbD/tjqV5z4l9TeIOP5l6XjQ896CJ4/0F8Sf3oYQm4pJYslh+XRYlPYYVexx7RURPjvedUeOaGPW41JDGm66LdOXTRC5yuym6v7v+K1PuW+L44hPnKjy9JQJr7ZzXYfJt0dJjVfsJhe6InYdnF1z/5o5w6TXG4/ysu2LStbED+1e5J8IP3nZ54XZfbFqddlqlY/dF0em9QncPeCAuDzyx0pHnoah172TwlU8PxasTgcsKrHkkem9ukXl5s8fCdd62XV6hT8Sk6O3pD9x4IsKfJW1LM/mp2HShWpEpZZ6JoruX4Mg9EyflP9v3XNRK+HLcv+cL8eptscoDsrwUHcuUOJLx9UvxN7RC+ko1Xon6dbOsmrLrldg+09d5zf5aeF39ujRw0GvRyltW7LUoMGLKtAOl3ojph7v5Jqx6Iz7E1ZhUwuOtEPnzeo7s9FYs6mkbd+rKWxH/rs3qBwXfiUbNdp/8tuKdKLkoy5eXPu9FuvvLQ+72fS/GVJMH8L3oOLldi2cVP4iq5x9Purnrg9hSItuG946PYtbglbcejf8ofv6QXx/FvRwdIt80/iQKrtlX5M+ZTyLiZfa2X3N+FoMbDB3tuvCzeOlZRHz1/iIqHohNvjf4i9jWcdexE5+/CHt4j2Gbmn4VcS7uufdf/SrU5pT8JuTomLz9G4+772LWmbiszWd9F7/77vlYweWHaJGh14Y8fX6IU6Plhv4QGV9kKVi4zU+RuoH/v6TbP0Wpgdlju2SNEjFlbna83ylKhFqX34t1UeJs+y2t69+J4rpHifpv1y89lzZa3F14qPPTctGibvWrhWI6RgtVhhnRIs2v7iASLbqoAkSLZZ+rNd/3PVpUObP1jntAjCie4rxZJnuMuJVme/m9FWLEtjITgka0jxGqbONiRIcJhTYFrYkRKeUSv389FSOeSj4vY8TBSVsmjEqJEXM3j61TxYoVe3L3XOtaMlbMrF2x19WmsQI7XWL+kFhR/8TQn2OXxorRPb5ka3U8Vhyu+KJ6qzexIjbNnV6tvH+JXs0fR9TM+UtsKnS9RM06v8SbwNMtaw78JVSbWPpLNDi9aV3NU7/EzCXLLtZ8/0v4PVzbu5RfnPglmeaME2nlx9SME34YTXG94kSN8akgIk7M/lJzapfDceJe7dnnM7yIE31uH5i0xfO32HrzfsNveX4Lxajpb/GsM6SM/y1CO6UpfXbHb1GrQ+lUno9/6/13j9fHMVe8SGq1dOiVRvGiUEt0lLHxeru3xYtNTf98nPUgXqyKc8/31uUP948/wi4PXIM/4tx02Sj+iALndqNCf8S7lv3SdbnyR8xPKBjSPvqP8Mj3dnTviASx/+q6ft1EgnbYOUHM+pj2/vJ5CeJW4phFfU4liHp9fr8u8C1BFI7pmGgLTxTNHnxZ9KpMohhzpGeRHd0ThSzDjcWJIkOm2g+/X0gUB0vVz5UUmyh8YssnG+n+isaqwH+FYj3sr8CHYOD+FdUueZdaev+vePnKf+5mtySRd0FS28t5krSf5kniDrqG79Qk8aru0erFDyaJfD7bzKbvksT5tLv6dg5OFmp4l0gWik37ZM10ZrLYv2HIxWxHkoXU8+R9skj+PeDVsuAUIUfBoDIpwnGqWdoyfVJE1YaNx/mtThFoJq3f30oRy0b8CTjq9k9E/6raZGLRf8Ldd2qadj3/icebr21cveqf6PHx7+boO/+4H7rQ1aaWvWSEC+Wr6zbgeW4Xinv6cEy/ii50qAM6TEsXGobRt3KAC5VGFy00w4Vazne2PrXehZ7/e3Kv3gkXOpw06dfThy7UpxRGVpQLZR0pO48rqT6Y3pWUs+KudD06fnBgXVfCb1uUpasrpf4wJbHIWFdSfXipK0m1Vfe50oC5ER4Nb7iS6tufXGmcX7rESy5uhMHlcjjcjZbkqlh1VW43avDhbu3ZFdxod+1uSwY1d6PLSwGzvxtvpxvZ1h8/Hb7BjSaNzemMPuFGh2jsm4uP3Ohonw7tika7kVWo2Kzlfu6USp7oMrjTLTmsS7jT3FY5E87XdaeGn129mnd1p8Gnr99MHONO8Tmmlp+5xJ0GLqh4ON1ed9L9yp1uJ++sUeq9OwVUqZf9Roo7fargUrVhhAdlmLM288d8HvRvBkBX8yB51kru4EEzFqIBj/agTAPclvgs9aDjdRekm7nfgxrkzb7ZfsuD2uTHf332oJ4FRx8kN08aWnhr6UaGJ0XfRIMp4Em+xoqW2ap50hfZhtp4UvfcOMMO9qQfQd/et5/lSTfLyA7tSXUy9r337pgnyY/bfNeT9svh9cWTFnQ+EJHN1Ysiqo3c/S7ci+JPFo6bl8eL7g/+nDlfZS9S/bC1F+WVA3aoFwXIAz3Xi+RZpf52L1LngwteVFa2uVdedHyQLJAXoVtBpDeNTumcaUkub9qycXjciwrepPpHS29KSVg7v/NAbwrs/4Q2zvAmM7//k9vrvaneq0Ef/hz1JjlZyHrHm9Lh7Frrkzc1Lrbv0sAUb1KOQ3zo4vwZr89l96HVu33LxQsfOoWzRM76PjTSKtqpfBcfPR5H+lDJNyPKtpvrQ/Ks2WAz/h57We2ED8k2SHd9aGMqbMBHH71/iT601B8HLtCXVJ9O70tB8hcX9qVj2Uvh1OJLnZPpWtHWvqT6QT9fwkkHndCXCqsJjy+pvrnTl0Y+SH1u+llfipPsHvhSqj7bpj395EsZF/6bPfKvL/8eP9qbb1nj62n9SJ5FhxTwozLXiqY1K/pRiWprn81u4kfFM1QdNq6XH6l2PN6PcPIeVmyxH911Dzh0bwd//5wfdZlnoIJ+lDCspPfmH36k+60/qT4b7k9BgW+bVcjpT12elsPsyZ/Sxi/BFvjTkHN/x1/o6M/H15+mbN9b8MoMf1LzrtX+pOZB+/3pxIeyd+Zd8ad/6WTn8Sc5nEr+9qfPB3e6fwwIoNkN1zxumzGAJKMrJQMIkzUM3QB9/HsEEA5Kr6gJAaTmpysCSM5ClxwMIN2nAujaj8tny34PoPX9up1c45OKRsq2lTEVqfmoSEV53GrvOdM0FfnIidPAVNrlf6lIHe6dqUidf6+lontLPlgbP6Wir/J05RVIrpJlxkAa4fDbM7h8IC1vhplT20DS89VAeiWnucsCyU1NZAMpw7zbT/c8CKQKcy7VmRsbSL6yEEGpSQ7DzjlTU7G05oWDVVOTnDXbOuPPf6MiB05ITZ9moQBrUtOuhXNL5TmTmsahzZR+nZowu6ibxSWISE4Qg4No46fKuf+lC6JSaqISRJhc3+pSLoiW1MUJqV4QyTYe3S6Ix1cQbU8zOdJ7fBDdzVqkfdi8IMqG2Lc2iAIXe37/tCeIzt7FROtMEA0JrPu8yu0gvV+vggiT9LDHP4KoErrTquQgvf0BwbqvGcGEk+Xk+GzBuj8VDabO6bsPHlohmCIy1/NcWzeYDmwG2JbBNL7+oLrVuwVT+kdXL68YFEyy/ceNC6aZXlFhlWcH09Hnh/bkW4bPwfTC2BRModOrfvHYF0xl29kn/jgZTL2LP0v36GowLQ9GA34YTIcxq7r/JpjkX4/6Hqz7eHwwqfmvq43KYnr20c9Gat5ut+nxZNooD6ZDxzLZSJ13c9uonjx9FrbRiLgXmEnaaPCHP8NKVrLRmhQ02Fo2WvFz44VqjWy0RE7rW9poAdpF1442alto3Pu4HjY9rgfYaG8AYA6zUeGS6LxjbHRETpMn2bgv2Ui27d1zbRSK2d+xxTbtZ6WNvvnNHnZ9vY3I3ubs3a02Old2e5cXu226jx60kZzd/DxuozRbwlISztroch45EbBR//2hf6/esOn+eA/fPxXyZ/ljfL/ivN9eL230c92iBd3e4fsYfY8+26i8HFA/8fMt/ova8stGi48umJ060UblyoTNGvzPRj8uoBF62OnuC0w4fO00+eauHBRo1+PLZtfHLdxOat5o2GniumyYmtnp4+56i2tlsBNO+icLZLGTav857DSifWu/pNx2etFn6sx3+e3c/+xUtvSnx9uK22ldNVvL+aXt9CDf6XFDytrJJwJXNhXtpOa9Ve26r9W0k5rGNLDTw0vyRGyn9TVRqXZ2Kocy9elqp9eYHo3tY6dRXY/1nzvYTtWjWq/YNMqu3U60cx+yU8MCjVu+nGenX3PGZItaaqdkOb1YbSc5y3u5BZ8vp68H7bRsJSaMZ+2Ur/+/bvVu2gnNMv/Qp3Z6FIWJzwc7n+fttDLm/rDwJDupeb1XCMn20SsohH40xR5GhujtzBBCzeQO5wyhYDkwCodQfO39UTdFCGFWf75ylRBqJycydUPIkXNnr+LNQ0jN9zuE0ET71sicvUL4PBxC6eXX2BB6FIqOOy2EZsnLtPkhVCHZWD19RQjJ9uG5KYTkaWnk7hBSp4cjIVQjdma9/udCyOPj9Kzfr4fQETldeBhCvW9MvvPiVQhlOTNxY6MvIfR8//jht2JDSF03JIfofu4VSnnkZXBQKL3fGp/7UGSork+GUKqLYbU5Z6juo4VDSV1OiFAa0PN7o5Aqofp2QN1QCpYDoXkoXewNMR1C9bjoGUrycPQfHKrnG2NCaZWQ/yKUj1MoBWTBf60IJXWdtTGU1DR5dyi1ynY16OKRUFLXXedCSf7p0PVQklfV+R6GkrpceBVKEa5Zm7T5HkqX3gT/tCeG8v6E6fOjPYye4KozR9owwiip+CJnmD5PFgujY562EFExjNR8tm4Yqcu7VmF0YwsuULqHkZqGDgnTfWRCGL2shZnXf2E0O9+gXOlWhrHjMFLTu0Nh1Fde+J8P0/O222Gk+L8IY49htO/76q6v/4XRb1ymjA4KJ3Vdni6cHo7EmSNfuN7uiuH09U1hTM3DaUbW76lO9A6ns/KydWw4Yfa1pfW8cMo9e9WffBvCCRern1IOhtN0l3nbdl0IJ89Lx3HGDadRcsLzPJwSGgY36/Q5nORlYMKvcMLs7uY0lwjqKC/8AyLoZf9D5XaFR1ATOeHJEKHnB7kjSF2+Fo+gC//hhFkhgtQBrhNB8rRgtYigAnKi1TmCtu/yCi3bP4IyD85b696oCD6uEeTwHn/2z4IImntje/LUNRH0vCcu1HZEUKPCGOmHI/R893wEqcvhWxGkrs+eRVBpebn0MYIOGvjJ2AhSl2X/IujJ7Uy+O/0i9fwhLJJWFEPjSBepj3uuSFKn3aKR5I/2OqF8JE1otN47onYkyfaypVmk7vOdIilG3j7pG0ndBqBzjIyk9yVxgT8lUvf1+ZGk2t7qSD3et0Xq65pDkRT29ypmGpGk7h/cjCR5OfTjSSSNq1Nl+egPkZQU0e+hLSaSoHhnr8RIkncNLrk5aAsul9L6O3gcOmjzKMwUDAdhq1Nlz+igjflXThyb06EdFHTQg4AFD4uUcvB1iYPU7aAaDqq/uFa5Mg0dhNk+Zu4OGtsPjb+jg1zlhXYvB43JDNiDHOQiv0Y79HXPZAflfvK79v7ZDtqBtphqsYNyzehbruNqBz2bkcM4u9lBzTphBrjHQU/kjPaIg9S06oxDXx9cddBktM0xdx2kbgs9ddCkjY2u5H/nIK8x88tN++aguEz4DVEO2rcWDT7OQbiqrno+wUEF5G6lOEhfHxr0+nTJOv+8DD0+/A2a9S4mzZ3Uhh4/IYbuexEG5ZA3PiyDHPK2XTqDHt+Ir/c2k0GLqmOGkN0gdf8rt0Hy7oZVwKB7XsV7rEK2wVkgQ0GDfhTChBo5/PqEddkKGeTb4deBbUh1OV3Y0PM05O4c+NEihp5HINVxLmpQk5hpmU4i5WVl2WKG3h+k6+GHzSsXN0jdV0Gq+yIlDH08kWoeX9Ig+XEPkXXkBpYy6MVzfCHVeCttkJyevkOq86kwSF7GfkGuuosdIYNyyx9E4qda9itjUGU5wUPq86ZB7eSEAKlOe+UMPd8tb/C4R53k7bcKBmU+2ThmGnJvw4seqSsapAqDlGUJrWRQM3kBjVTzr8oGyc1bgXSXN0aqGCQ/bh1SXWdXNWjrFnwhi5aNPJ6rmkHqNh5S3Q+pbtArHxQa2UPuSA2D/hbBDyLVvKKmQeq+DlLPswxS9zeQx3Nhh2sbug8gHzXHHtcxSB62+0h5OBrXNWi0PHDIVLIw9Qye9xqUFbvbob5B+7Ebn5By87o1MOgWfu0PZAtZwIYGyR/7hRwkvxoZ5ClvHCDV7ebGBsnTiEsTjMf7KDSyuNyRpgaheh+mIBvIGyLNDHpTADM4pBx+9uYGJWNYLUBOxXCJbGGQupxDrpfTpZYG5cdhW4OUhyNTK0PPV5DqfNTa0OcvpNzdfG0MGovd2IdU9zXaGqTuwyCzywK2M+ggfuw0srz8am/Qnad7Gl5EtpIDtYOh55fIobLQHQ3yljuClMO+YSeD5HB+jNyJYdq8s0Hqfi1SzTO7GNRI7jBS3R/rapC63YVU9x+6GTQdhyMGKcs8oLtBG1G+P8iC8hf3MEjubgqylgTS06Bn2DyPXgap+55I+XF+vQ0ajx+bgQyWX30MknznIXPKgdrXIMltSV923o+d92Pn/dl5f3Y+gJ0PYOcD2flAdj6InQ9i54PZ+WB2PoSdD2HnQ9n5UHY+jJ0PY+fD2Tkynbqxy85HsPOR7HwkOx/Fzkex89HsfDQ7H8POx7Dzsex8LDsfx87Hs/Px7HwCO5/Aziey84nsfBI7n8TOJ7Pzyex8Cjufws6nsvOp7HwaO5/Gzqez8+nsfAY7n8HOZ7Lzmex8Fjufxc5ns/PZ7HwOO5/Dzv9j5/+x87nsfC47n8fO57Hz+ex8PjtfgHoemuEVtYCdL2TnC9n5Ina+mJ0vZudL2PkSdr6UnS9l58vY+TJ2vpydL2fnK9j5Cna+kp2vZOer2DkSs9ZBuVaz89XsfA07X8PO17Lztex8HTtfx87Xs3Nk1WHj8lTfwM43sPONBs+j2fkmQ99HQqrpw2aD5NOf10h1P2+Loa+fkTK6bkU95YMG5Jf5e3Cli3rmwkhHesod2I56NscPIPVzDYPw6Z1ddhr6vhMSs/QZXrsM0s+ZUM/P+KDdqKecuCPVfGkP6rnrNf4G9axcOylir0HrXp4IXIbML3/hPtRTPc9CPeXjwf2YD8jHcPvZ+QF2foCdH2TnB9n5IXaOPNgWM6LDqKd8fIK8PQc7cMTg6wvU81SxDFWPGiRv+15HekeFVa59DPWcNKHp3WPs/LhB8innY2TJmviEE+ibuFx4iVT3m06ib4bgCgIpy935lEH6eQ36JsrT6zT6ppwmIuXuDDiDvqlu2KNv4tcPO2uQ/NgUpHoecg59Uz1ARN9c+HzuJKQ82n4X0DdlgZFylhZ0EfMm+QPIwxj+YZfQN+WNYeTdY2+xReib8kAgf3zFjl4xSA0bpJ7noZ7yMCPl4ctzDfWUhwWp7oNfN/i6y9D3UW6gb8rdRsrdKXPTILWZSHV/5xb6pvxYpLqOu42+KQOpn5sZVFsOAOSLubLA6JtyB5Dq+uYe+iaq/hapnt/cR9/EcP2MlMOw+wN2jqysPsggjNocv5Ht5MT3EfomDl8SUj2Wfoy+KQvyBH0TZZyAVPfNnxr6Pg5SDbxn6JvYzDnIZrJwz9E3u8oNQ9+UE+8Xhp5/I9X130tDXy8i1f26V+ibcgdesfPXBqnhj1TPMd6gb8qBgpSjothb9E05vJDq+vYd+qYcDkj1PPw9+qY8fO/Z+QeDVLmRHeQv/MjOkfo5Bzv/xM4/s/PP7PwLO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/yc5/svModh7FzqPZeTQ7j2HnMew8lp3HsvNf7PwXO49j58hO6sBifiTbDFJd98ejb8q2gJRR5I9BivEfdp7AzhPYeSI7T2Tnf9n5X3aexM6T2HkyO09m5ynsPIWd/2Pn/9i5i6mdI5VzV1M7RyrnbqZ2jlTO3U3tHKmce5jauaepnSOVcy9TO0cq596mdo5Uzn1M7RypnPua2jlSOfcztXOkcu5vaudI5TzA1M6RynkqUztHKueBpnaOVM5Tm9o5UjkPMrVzpHIebGrnSOXcZmrnSOXcbmrnSOU8xNTOkcp5qKmdI5XzMFM7Ryrn4aZ2jlTOI0ztHKmcR5raucPUzpGqPIapnSPVwDNN7RypnFumdo5UP+40tXOkcp7G1M6RynlaUztHKufpTO0cqZ9Xmto5UjnPYGrnSOU8o6mdI/W6F1M7RyrnmU3tHKmcZzG1c6RyntXUzpHKeTZTO0cq59lN7RypnOcwtXOkcp7T1M6RynkuUztHKue5Te08j6mdI9UwzGtq50jlPJ+pnSPVYc5vaudI5byAqZ0jlfOCpnaOVLtdyNTOkcp5YVM7R6qPLWJq50gVRU3tHKmcFzO1c6RyXtzUz3uQynkJUztHKuclTe0cqZyXMrVzpHJe2tTOkfr5kamdI5VzYufEzsuw8zLsvCw7L8vOy7Hzcuy8PDuvwM4rsPOKJr1eKZpOqcjOK7HzSuy8MjtHrpvf+UBEFZPy5Xp4aSny5LkKT51V2XlVdl6NnVdj59XZeXV2XoOd12DnNdl5TXZei53XYue12Xltdl6Hnddh53XZeV12Xo+d12Pn9dl5fXbegJ03YOcN2XlDdt4I9Tz181o0Ut03box64o/xyJryQWYTdt6UnSN/y+VJzdg5Ut+HZudIdV+pBTtHVnzq3BLW0tT3Z5Gt/ZJumK3QN1d3fb0SKVd/pW9tks/tSl4bkOp5dxvUU65KQ6rndW1RTzng2rLzdqgnNvdQO3benp23Z+cd2HkHdt6RnXdk551QT0d9n9ud2Hlnk55XwZHuzM67sPMu7Lwr6rnp68C3SHVfrRs778bOu6OeXqhkd3bew+TnWOibKOfgnibfnzdJ7v6oXuy8NztH7jmDDepj6vu/SLX+oq+p7/cjP8nH6v3QNw+V27UQKfk5+pv6eTvSkjeiB6BvhqUkrEUW2dE9IMtA9E0M2y3IunIHB5n6PjSyh3wQMJidD2bnQ9j5EHY+1NTnc6Ra9zEM9ZQgkOq50XCT5G7dQMbI5SIj2DlSPWcYaerne0j5x5ajTH1fHqnWI4xG3zSx4cjm8i/GmPzcAn3z7ZULvceapJYHIv+z4QCMM/XzOqRatzXeJDl8XCaY+jkIsr4cSBPZObKXLMQk9E2UfRZSPReejL4pFzhMZudT2PkUdj4VfVNuEFKtb5qGvol/tgmp1mFNR9+U65CQ8rFuvhnom3KdGTKb/IuZJmEUjzmCVM8jZqGeGN6nkHLYlpuNvjkQO4hUz4XnmCSHzzXkvFIY6P+hb8oFbUh5GBvONfXzVqRaNzPP5Oc5JskytZ2PvikHHFKt21hgktzcr8hIuUEL2flCdr6InS9i54tNkkxTkF3khi9h50vRN9/H1Zi0lJ0vQ9+Uy+yWsfPlJsnhOHc5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw86RV7Fbhdayc6RaF7kOfRMffwIp/1mZ9SbJP55DGvLAb0DfBNMrSMmvxkZ2jpRc6m9i58hucoBsRt/EsH2OlMOx9RZ2voWdb0XflAMdeVQuO9vGzpFqveF2dr6dne9g5zvY+U70TeyW2y7Mj2TBdrHz3ex8Nzvfw873sPO97HwvO9/Hzvex8/3sfD87P8DOD7Dzg+z8IDs/hL6JYXEAqdanHDb183LkGhwecYTP50fY+VF2fpSdH2Pnx9j5cVM/9zrOzk+w8xPs/CQ7P8nOT7HzU+z8NDs/zc7PsPMz7PwsOz/Lzs+x8/Ps/Dw7v8DOL7Dzi+z8Iju/xM4vsfPL7PwyO7/Czq+w86vs/Co7v8bOr7Hz6+z8Oju/wc6RIVPMQsVusvOb7PyWScdqde5+Bln144ORFW6b+vnjbXZ+h53fYed32flddn6Pnd9j5/fZ+X12/oCdP2DnD9n5Q3b+iJ0/YueP2fljdv6EnT9l50/Z+TN2/oydP2fnz9n5C3b+gp2/ZOcv2fkrdv6Knb9m56/Z+Rt2/oadv2Xnb9n5O3b+jp2/Z+fv2fkHdv6BnX9k5x/Z+Sd2/omdf2bnn9n5F3b+hZ1/Zedf2fk3dv6NnX9n59/Z+Q92/oOd/2TnUew8ip1Hs/Nodh7DzmPYeSw7j2Xnv9j5L3Yex87j2Plvdv6bncez83h2/oed/2HnCew8gZ0nsvNEdv6Xnf9l50nsPImdJ7PzZHaews5T2Pk/dv6PnbtY2jlSOXe1tHOkcu5maedI5dzd0s6RyrmHpZ17Wto5Ujn3srRzpHLubWnnSOXcx9LOkcq5r6WdI5VzP0s7Ryrn/pZ2jlTOAyztHKmcp7K0c6RyHmhp50h1Pk9taedI5TzI0udzpDqfB1v6fI5Uzm2Wdo5Uzu0Wr5+ytPMQSztHKuehlnaOVM7DLO0cqZyHW9o5UjmPsLRzpHIeaWnnSOXcYWnnhqWdI183+OzqZVraOVI/D7a0c6Ry7rS0c6RynsbSzpHKeVrUU65TRirn6SztHKmcp0c91UIWSzvPYGnnSOU8o6WdI5XzTJZ2jlTOM1vaOVI5z2Jp50jlPKulnSOV82yWdo5UzrNb2jlSOc9haedI5TynpZ0jNwxc3L9nLks7RyrnuS1eb2Vp53ks7TyvpZ0jlfN8lnaOVM7zW9o5Ui3zKWDp9YpI5bygpZ0jlfNCll63jVTOC1uklm0jMxy4cSdrEdSzRqn3W5Gl5IKhoqjncIffHmRjdeKx9DoiZL9yHcuUKI56Pr1X7wRSOS9haedI5bykpZ0jlfNSlnaOVM5LW9o5UjkXlnaOVM6JnRM7L8POy7Dzsuwc2fZrzhl9y7Hzcuy8PDuvwM4rsPOK7LwiO6/EzpFNUcXAyhbJ0+gcpF4PhXp6Ne+6EDlr+ZXhjqqWXieOVOtBqqGecjkmUi73yVzd0utNkOp1lxoW4eScvBOZKA9TTUuve0CqstayaI18fQip1mvVtvT5HKnO53UsfT5Hql9T19LrXpCj5LfrWXo9NhKj63uj+qin/AZSreNoYJF6XQh5E0e5fUPUE3vzEamWszdCPdU/RD3lAp3Gll5/g0yD4TGwCeoZL1+oQj1lAZqinpnxC5BqPWEzdt7cIlmuKcgklCGgBfomdm8WMkxtiKXXDSLVOqBWll53hqxuk28QsHOkWkfVBn3zEb6BHNNbvjnEzpFqHVs7S6+DRarh294iOSyPINV6pA6Wfi8BqYZHR4vXOaNvygJ0skgepmtItb68M/omynoHqcrVxdLrL5F63b+l1xsi+8jN6Ya+KZf5I9U/726Rer+pOzvvgb4pNxiJKuIb7Bwp2QztZZGctSUj1fqx3uibS7FjfSwKkv8QuQLDza8v+qYa4Oy8HztHqvXA/dE31S+wSJbfHMDOkXqdNDsfyM4HsfNB7HwwOx/Mzoew8yHsfCg7R8oqlhlmkfzpc0j13ttwS6/PRaphPgJ9U+4YUq+/t0gOtwdI9V7eKPRNDI/nSHXYR6Nvyvd8kGo90xiLZPk/IyvLso616H49OVLY+TiL1x9bej33ePRNbM5fpPo1E9A35YCciL4pv40UqqDom+A6bRI7n8zOJ7PzKex8Cjufys6nsvNp7HwaO5/Ozqez8xnsfAY7n8nOZ7LzWex8Fjufzc5ns/M57HwOO/+Pnf/Hzuey87nsfB47n8fO57Pz+ex8ATtfwM4XsvOF7HwRO1/Ezhez88XsfAk7X8LOl7LzZex8GTtfzs6Xs/MV7HwFO1/Jzley81XsfBU7X83OV7PzNex8DTtfy87XsvN17HwdO1/Pztez8w3sfAM738jON7LzTex8EzvfzM43s/Mt7HwLO9/Kzrey823sfBs7387Ot7PzHZgfSVg72PlOdr6Tne9i57vZ+W52voed72Hne9n5Xna+j53vY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnR9j58fZ+XF2foKdn2DnJ9n5SXZ+ip2fYuen2flpdn6GnZ9h52fZ+Vl2fo6dn2Pn59n5BXZ+gZ1fZOcX2fkldn6JnV9m55fZ+RV2foWdX2XnV9n5NXZ+jZ1fZ+fX2fkNdn6Dnd9k5zfZ+S12foud32bnt9n5HXZ+h53fZed32fk9dn6Pnd9n5/fZ+QN2/oCdP2TnD9n5I3b+iJ0/ZueP2fkTdv6EnT9l58/Y+TN2/pydP2fnL9j5C3b+kp2/ZOev2Pkrdv6anSPrVlk+OvMb1FO+H4nsPnjo+pxvLUpI/fngTqRel8rO37Hz9+z8PTv/wM6RDwv+LFrhIzv/yM4/sfNP7PwzO0fqdfPsHFkmut21Fl/ZObK5fP3mm6Xfa/rGzr9beh3+d3b+wyJnWNcasUj1/vpPdo688Gz/+OFRqGf/jAv/IdV7DtGo51rXY54xFv0t3vvGZOSUOy9e+ceinviYmUj517ZfqOfi7BHzkSfy4j/iLFLvkyIfy9f6f6Oe8kVtpHw9IGO8pdcLIwPlP/hj0dIGK7duR2b7nupE3gR2jixnfn1TOJGdJ7Lzv5Zen/6XnSexc6R+n4CdJ7PzFHaews7/sfN/7NzFqZ0jlXNXp3aOVM7dnNo5Ujl3d2rnSOXcw6mdI5VzT6d27uXUzpHKubdTO0cq5z5O7RypnPs6tXOkcu7n5Pc7nbyO26mdI5XzAKd2jlTOUzm1c6RyHujUzpHKeWqndo7U71k4tXOkch7spE0YxueQyrnNqZ0jlXO7UztHysNfL8RJ6v175ITht/Y2CXWSLURceIbE0XzUKgz1lAcQqd4DCXdSpb4Qg7zv2zl99wjUc/WDgj+R0FCpbyTqiY+JQ/rJF7scTv1eCVK9f2ignvL9chP1lAMWea0FRpqFesoXU5FyuKdyOkkO49lIN/mCRRrUE8NuIVIOJ0da1BPDZDmyiHwBOR3qKV/LRirn6Z3aOVI5z+DUzpHKeUbUU24AUm5+0UxOfs/Lqd/nyOwk+TFnkMp5FtRTbihSsq2WFfWUoJABcsBmc5Lkcw+pnGd3kvr/QyCV8xxOUq/PIJXznE7tHAldYV1zObVz5JyR+ODcTu0cqZzncVIxlDcBqZznderzeT6nPp8jlfP8Tu0cqZwXcGrnSOW8oFM7R6rzeSGndo5Uzgs7tXOkcl7EqZ0jlfOiTu0cqZwXc9KB8Rg4SOW8uJPk4T+MbCk/uIRTO0fKw1CupJO85ABDKuelnCTLcQ2p3s8s7aQS8kUjpNysBsJJDeVARL6Vr7OQU7+HhEzpgA0t46RpyfgPJKrv27msk/BbzK9I9Z5+Oad+rxGp3msq76SnGMbxSP3eoVO/D41U72FURD3lgankJHn4JyJzyA+u7KRDOFzTkfIwpK7i1O+9IVvLA1gV9UQ5FiPlbprVnOSDzV+JlJuVvrqT5K9bj9yFj8law0nyr7cioXV37ppOaiz/A/le/u8wajlJMjuIdJEDorZTv8eDVO/b12HnyEISXl0nyWF3BSmHU416Tv1+Vj12Xp+d12fnDdh5A3bekJ03ZOeN2Hkjdt6YnTdm503YeRN23pSdN2Xnzdh5c3benJ23YOct2HlLdt6Snbdi563YeWt23pqdt2Hnbdh5W3belp23Y+ft2Hl7dt6enXdg5x3YeUcn/Q9itA0g</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="192">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0MEJAjEQBdAtxVJytYScLcCbiCDYg2Adgg2oJ4uwGA+zColsshcPwnuXT5KZYXaHAQAAfuSwTM1zfT/13uufO7/X98lc5mKVmvWTc3NZN7evp/ed733TKXJ7idzdIx+3yP058nkc6zflftf1eM7tfev/9vVe3ffmAQAAAAAAAAAAAAAAAADwd16KXCcf</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=150.093 Q3=131.100 sample=32 experiment=1 RT=3.80 ce=-15.00 name=glutamine-d5" defaultArrayLength="2265" index="99">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" />
          <cvParam cvRef="MS" accession="MS:1000129" name="negative scan" />
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="150.0933" />
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" />
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" unitAccession="UO:0000266" unitCvRef="UO" unitName="electronvolt" value="-15" />
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" unitAccession="MS:1000040" unitCvRef="MS" unitName="m/z" value="131.1" />
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13940">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="256">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0T2KwkAYgOGICB5hr2DnEaKlJ1iErey8gJWQ2tYr2Cx4gO3WIwS7xUY8gmAv5iMBg1HX1udpXiYzk8lPkgAA8PayUXp3fj9Jb64rx03X/3vuo33Z9PZ8Nn7tvMZ1tfuV7191GR2toukm2vuLdo9FP7+SwaUf21bRfHeK+c6h6Gabx3j9G23/RIff0WwRzefX5/dnteeptXz+xvGT3736v+Prfc9+RwAAAAAAAAAAAAAAAAAA3sYZS5E4wQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
      </chromatogramList>
    </run>
  </mzML>
  <indexList count="1">
    <index name="chromatogram">
      <offset idRef="TIC">3914</offset>
      <offset idRef="SRM SIC Q1=72.993 Q3=72.993 sample=32 experiment=1 RT=3.45 ce=-10.00 name=Glyoxylate">25434</offset>
      <offset idRef="SRM SIC Q1=74.025 Q3=74.025 sample=32 experiment=1 RT=3.89 ce=-10.00 name=glycine">45312</offset>
      <offset idRef="SRM SIC Q1=87.009 Q3=87.009 sample=32 experiment=1 RT=2.16 ce=-10.00 name=Pyruvic_acid">61834</offset>
      <offset idRef="SRM SIC Q1=87.045 Q3=86.900 sample=32 experiment=1 RT=1.02 ce=-15.00 name=1-butyric_acid">78417</offset>
      <offset idRef="SRM SIC Q1=88.040 Q3=88.040 sample=32 experiment=1 RT=3.63 ce=-10.00 name=alanine_">94931</offset>
      <offset idRef="SRM SIC Q1=89.024 Q3=89.024 sample=32 experiment=1 RT=2.87 ce=-10.00 name=L-lactic_acid">111498</offset>
      <offset idRef="SRM SIC Q1=102.056 Q3=101.900 sample=32 experiment=1 RT=2.98 ce=-10.00 name=dimethylglycine_(DMG)">128190</offset>
      <offset idRef="SRM SIC Q1=103.040 Q3=56.910 sample=32 experiment=1 RT=2.39 ce=-30.00 name=2-hydroxyisobutyric_acid">144766</offset>
      <offset idRef="SRM SIC Q1=103.040 Q3=56.900 sample=32 experiment=1 RT=2.39 ce=-30.00 name=2-hydroxybutyric_acid">161203</offset>
      <offset idRef="SRM SIC Q1=104.035 Q3=74.000 sample=32 experiment=1 RT=4.06 ce=-30.00 name=L-serine">177636</offset>
      <offset idRef="SRM SIC Q1=112.054 Q3=68.003 sample=32 experiment=1 RT=1.73 ce=-15.00 name=creatinine">193929</offset>
      <offset idRef="SRM SIC Q1=114.056 Q3=114.056 sample=32 experiment=1 RT=3.30 ce=-10.00 name=Proline">210397</offset>
      <offset idRef="SRM SIC Q1=115.004 Q3=70.900 sample=32 experiment=1 RT=4.19 ce=-15.00 name=fumaric_acid">227078</offset>
      <offset idRef="SRM SIC Q1=116.047 Q3=73.900 sample=32 experiment=1 RT=3.70 ce=-15.00 name=guanidinoacetic_acid">243489</offset>
      <offset idRef="SRM SIC Q1=116.072 Q3=116.070 sample=32 experiment=1 RT=3.05 ce=-10.00 name=valine">259896</offset>
      <offset idRef="SRM SIC Q1=116.072 Q3=116.072 sample=32 experiment=1 RT=4.03 ce=-10.00 name=5-Amino_pentanoic_acid">276595</offset>
      <offset idRef="SRM SIC Q1=117.019 Q3=73.100 sample=32 experiment=1 RT=3.96 ce=-30.00 name=Succinic_acid">293113</offset>
      <offset idRef="SRM SIC Q1=117.056 Q3=71.000 sample=32 experiment=1 RT=1.89 ce=-15.00 name=2-hydroxyisovaleric_acid">309373</offset>
      <offset idRef="SRM SIC Q1=118.051 Q3=54.900 sample=32 experiment=1 RT=3.82 ce=-30.00 name=Homoserine（离子对正确具有唯一性且稍微比threonine晚出一点点）">325954</offset>
      <offset idRef="SRM SIC Q1=118.051 Q3=74.100 sample=32 experiment=1 RT=3.79 ce=-15.00 name=threonine（离子对正确具有唯一性）">342193</offset>
      <offset idRef="SRM SIC Q1=122.025 Q3=78.000 sample=32 experiment=1 RT=2.36 ce=-30.00 name=Nicotinic_acid">358701</offset>
      <offset idRef="SRM SIC Q1=128.072 Q3=128.072 sample=32 experiment=1 RT=2.95 ce=-30.00 name=pipecolic_acid">374968</offset>
      <offset idRef="SRM SIC Q1=130.051 Q3=83.900 sample=32 experiment=1 RT=3.65 ce=-30.00 name=L-4-hydroxyproline">391390</offset>
      <offset idRef="SRM SIC Q1=130.062 Q3=88.000 sample=32 experiment=1 RT=3.55 ce=-15.00 name=creatine">407679</offset>
      <offset idRef="SRM SIC Q1=130.087 Q3=130.086 sample=32 experiment=1 RT=2.72 ce=-10.00 name=isoleucine">424192</offset>
      <offset idRef="SRM SIC Q1=130.087 Q3=130.087 sample=32 experiment=1 RT=2.61 ce=-10.00 name=leucine">440864</offset>
      <offset idRef="SRM SIC Q1=131.046 Q3=131.046 sample=32 experiment=1 RT=3.99 ce=-10.00 name=asparagine">457495</offset>
      <offset idRef="SRM SIC Q1=131.083 Q3=131.083 sample=32 experiment=1 RT=6.23 ce=-10.00 name=Ornithine">474049</offset>
      <offset idRef="SRM SIC Q1=132.030 Q3=88.200 sample=32 experiment=1 RT=4.50 ce=-30.00 name=aspartic_acid">490742</offset>
      <offset idRef="SRM SIC Q1=133.014 Q3=71.200 sample=32 experiment=1 RT=4.00 ce=-30.00 name=malate">507174</offset>
      <offset idRef="SRM SIC Q1=135.056 Q3=78.200 sample=32 experiment=1 RT=0.61 ce=-30.00 name=N-methylnicotinamide">523411</offset>
      <offset idRef="SRM SIC Q1=136.040 Q3=91.900 sample=32 experiment=1 RT=1.46 ce=-15.00 name=4-aminobenzoic_acid">539605</offset>
      <offset idRef="SRM SIC Q1=145.014 Q3=100.900 sample=32 experiment=1 RT=4.01 ce=-15.00 name=a-Ketoglutaric_acid">556175</offset>
      <offset idRef="SRM SIC Q1=145.051 Q3=81.000 sample=32 experiment=1 RT=3.96 ce=-45.00 name=adipic_acid">572667</offset>
      <offset idRef="SRM SIC Q1=145.062 Q3=57.800 sample=32 experiment=1 RT=3.80 ce=-45.00 name=glutamine">588911</offset>
      <offset idRef="SRM SIC Q1=145.098 Q3=145.098 sample=32 experiment=1 RT=5.98 ce=-10.00 name=lysine">605219</offset>
      <offset idRef="SRM SIC Q1=146.046 Q3=101.600 sample=32 experiment=1 RT=4.11 ce=-30.00 name=Glutamic_acid">621841</offset>
      <offset idRef="SRM SIC Q1=148.044 Q3=148.044 sample=32 experiment=1 RT=2.89 ce=-10.00 name=Methionine">638175</offset>
      <offset idRef="SRM SIC Q1=149.046 Q3=59.100 sample=32 experiment=1 RT=2.13 ce=-30.00 name=ribose">654773</offset>
      <offset idRef="SRM SIC Q1=149.046 Q3=58.800 sample=32 experiment=1 RT=2.70 ce=-30.00 name=arabinose">671090</offset>
      <offset idRef="SRM SIC Q1=151.026 Q3=108.000 sample=32 experiment=1 RT=1.88 ce=-30.00 name=xanthine">687414</offset>
      <offset idRef="SRM SIC Q1=154.062 Q3=93.000 sample=32 experiment=1 RT=6.30 ce=-30.00 name=Histidine">703957</offset>
      <offset idRef="SRM SIC Q1=157.037 Q3=96.900 sample=32 experiment=1 RT=2.45 ce=-30.00 name=allantoin">720483</offset>
      <offset idRef="SRM SIC Q1=157.123 Q3=157.123 sample=32 experiment=1 RT=0.63 ce=-10.00 name=C9:0_pelargonic_acid">736863</offset>
      <offset idRef="SRM SIC Q1=160.062 Q3=99.800 sample=32 experiment=1 RT=4.27 ce=-45.00 name=2-aminoadipic_acid">753275</offset>
      <offset idRef="SRM SIC Q1=163.061 Q3=100.800 sample=32 experiment=1 RT=2.58 ce=-15.00 name=&quot;1,5-anhydroglucitol&quot;">769584</offset>
      <offset idRef="SRM SIC Q1=164.072 Q3=103.100 sample=32 experiment=1 RT=2.53 ce=-30.00 name=phenylalanine">786024</offset>
      <offset idRef="SRM SIC Q1=167.021 Q3=69.100 sample=32 experiment=1 RT=3.27 ce=-45.00 name=uric_acid">802526</offset>
      <offset idRef="SRM SIC Q1=173.082 Q3=111.000 sample=32 experiment=1 RT=3.58 ce=-30.00 name=Sebacic_acid写错，正确那个是suberic_acid">818945</offset>
      <offset idRef="SRM SIC Q1=174.041 Q3=88.000 sample=32 experiment=1 RT=4.25 ce=-30.00 name=N-acetyl-L-aspartic_acid">835280</offset>
      <offset idRef="SRM SIC Q1=174.057 Q3=130.066 sample=32 experiment=1 RT=1.74 ce=-15.00 name=Indole-3-acetic_acid">851537</offset>
      <offset idRef="SRM SIC Q1=174.088 Q3=131.000 sample=32 experiment=1 RT=3.98 ce=-30.00 name=Citrulline">868077</offset>
      <offset idRef="SRM SIC Q1=178.051 Q3=77.200 sample=32 experiment=1 RT=2.09 ce=-45.00 name=hippuric_acid">884470</offset>
      <offset idRef="SRM SIC Q1=178.072 Q3=58.800 sample=32 experiment=1 RT=4.11 ce=-45.00 name=mannosamine">900838</offset>
      <offset idRef="SRM SIC Q1=179.056 Q3=59.000 sample=32 experiment=1 RT=3.40 ce=-30.00 name=galactose__">917092</offset>
      <offset idRef="SRM SIC Q1=179.056 Q3=87.000 sample=32 experiment=1 RT=3.83 ce=-30.00 name=inositol">933696</offset>
      <offset idRef="SRM SIC Q1=180.067 Q3=93.100 sample=32 experiment=1 RT=3.28 ce=-45.00 name=tyrosine_">950069</offset>
      <offset idRef="SRM SIC Q1=188.056 Q3=58.000 sample=32 experiment=1 RT=4.11 ce=-45.00 name=N-acetyl-L-glutamic_acid">966461</offset>
      <offset idRef="SRM SIC Q1=188.071 Q3=144.081 sample=32 experiment=1 RT=1.31 ce=-15.00 name=3-Indolepropionic_acid">982665</offset>
      <offset idRef="SRM SIC Q1=191.020 Q3=191.020 sample=32 experiment=1 RT=5.43 ce=-30.00 name=citric_acid">999271</offset>
      <offset idRef="SRM SIC Q1=193.035 Q3=58.900 sample=32 experiment=1 RT=4.08 ce=-45.00 name=glucuronic_acid">1015750</offset>
      <offset idRef="SRM SIC Q1=199.170 Q3=199.170 sample=32 experiment=1 RT=0.59 ce=-10.00 name=C12:0_lauric_acid">1032056</offset>
      <offset idRef="SRM SIC Q1=203.083 Q3=116.100 sample=32 experiment=1 RT=2.67 ce=-45.00 name=tryptophan">1048441</offset>
      <offset idRef="SRM SIC Q1=207.078 Q3=144.000 sample=32 experiment=1 RT=2.60 ce=-30.00 name=kynurenine">1064904</offset>
      <offset idRef="SRM SIC Q1=209.030 Q3=85.000 sample=32 experiment=1 RT=5.42 ce=-15.00 name=galactaric_acid">1081281</offset>
      <offset idRef="SRM SIC Q1=212.002 Q3=79.900 sample=32 experiment=1 RT=1.12 ce=-45.00 name=3-indoxyl_sulfate">1097573</offset>
      <offset idRef="SRM SIC Q1=218.103 Q3=88.000 sample=32 experiment=1 RT=2.85 ce=-15.00 name=pantothenic_acid">1114205</offset>
      <offset idRef="SRM SIC Q1=219.078 Q3=144.000 sample=32 experiment=1 RT=3.37 ce=-30.00 name=5-hydroxy-L-tryptophan">1130538</offset>
      <offset idRef="SRM SIC Q1=220.083 Q3=59.200 sample=32 experiment=1 RT=2.81 ce=-45.00 name=N-acetylglucosamine">1146815</offset>
      <offset idRef="SRM SIC Q1=227.202 Q3=227.202 sample=32 experiment=1 RT=0.57 ce=-10.00 name=C14:0_myristic_acid">1163173</offset>
      <offset idRef="SRM SIC Q1=239.017 Q3=119.900 sample=32 experiment=1 RT=5.34 ce=-15.00 name=L-cystine">1179524</offset>
      <offset idRef="SRM SIC Q1=241.217 Q3=241.217 sample=32 experiment=1 RT=0.56 ce=-10.00 name=C15:0_pentadecanoic_acid">1196130</offset>
      <offset idRef="SRM SIC Q1=243.062 Q3=110.000 sample=32 experiment=1 RT=1.85 ce=-30.00 name=Uridine">1212494</offset>
      <offset idRef="SRM SIC Q1=255.233 Q3=255.233 sample=32 experiment=1 RT=0.55 ce=-10.00 name=C16:0_palmitic_acid">1228948</offset>
      <offset idRef="SRM SIC Q1=259.022 Q3=78.800 sample=32 experiment=1 RT=4.46 ce=-45.00 name=D-fructose-6-phosphate">1245311</offset>
      <offset idRef="SRM SIC Q1=263.104 Q3=145.000 sample=32 experiment=1 RT=2.43 ce=-15.00 name=α-N-phenylacetyl-L-glutamine">1261716</offset>
      <offset idRef="SRM SIC Q1=266.090 Q3=134.200 sample=32 experiment=1 RT=1.65 ce=-30.00 name=adenosine">1278160</offset>
      <offset idRef="SRM SIC Q1=269.249 Q3=269.249 sample=32 experiment=1 RT=0.52 ce=-10.00 name=C17:0_heptadecanoic_acid">1294522</offset>
      <offset idRef="SRM SIC Q1=277.217 Q3=277.217 sample=32 experiment=1 RT=0.55 ce=-10.00 name=&quot;C18:3_n-3_(9Z,_12Z,_15Z)_alpha-linolenic_acid&quot;">1310862</offset>
      <offset idRef="SRM SIC Q1=282.084 Q3=191.900 sample=32 experiment=1 RT=2.80 ce=-30.00 name=8-hydroxy-2_-deoxyguanosine">1327263</offset>
      <offset idRef="SRM SIC Q1=283.264 Q3=283.264 sample=32 experiment=1 RT=0.54 ce=-10.00 name=C18:0_stearic_acid_">1343579</offset>
      <offset idRef="SRM SIC Q1=305.249 Q3=305.249 sample=32 experiment=1 RT=0.53 ce=-10.00 name=&quot;C20:3_n-6_8,11,14-eicostrienoic_acid&quot;">1359946</offset>
      <offset idRef="SRM SIC Q1=307.264 Q3=307.264 sample=32 experiment=1 RT=0.53 ce=-10.00 name=C20:2_eicosadienoic_acid">1376322</offset>
      <offset idRef="SRM SIC Q1=309.280 Q3=309.280 sample=32 experiment=1 RT=0.53 ce=-10.00 name=C20:1_eicosenoic_acid">1392662</offset>
      <offset idRef="SRM SIC Q1=343.125 Q3=59.000 sample=32 experiment=1 RT=3.80 ce=-45.00 name=maltitol">1409031</offset>
      <offset idRef="SRM SIC Q1=346.056 Q3=78.800 sample=32 experiment=1 RT=4.40 ce=-45.00 name=AMP_(adenosine_monophosphate)">1425336</offset>
      <offset idRef="SRM SIC Q1=361.202 Q3=331.300 sample=32 experiment=1 RT=0.59 ce=-15.00 name=cortisol_">1441580</offset>
      <offset idRef="SRM SIC Q1=391.285 Q3=345.400 sample=32 experiment=1 RT=0.81 ce=-45.00 name=deoxycholate">1457833</offset>
      <offset idRef="SRM SIC Q1=407.280 Q3=343.300 sample=32 experiment=1 RT=1.50 ce=-45.00 name=Cholate_">1474262</offset>
      <offset idRef="SRM SIC Q1=429.374 Q3=163.000 sample=32 experiment=1 RT=0.47 ce=-30.00 name=α-tocopherol">1490839</offset>
      <offset idRef="SRM SIC Q1=464.302 Q3=74.024 sample=32 experiment=1 RT=2.45 ce=-45.00 name=glycocholic_acid">1507091</offset>
      <offset idRef="SRM SIC Q1=498.290 Q3=498.290 sample=32 experiment=1 RT=1.60 ce=-10.00 name=Taurochenodeoxycholic_acid">1523437</offset>
      <offset idRef="SRM SIC Q1=258.252 Q3=258.252 sample=32 experiment=1 RT=0.53 ce=-10.00 name=FFA16:0-d3">1540215</offset>
      <offset idRef="SRM SIC Q1=411.306 Q3=347.300 sample=32 experiment=1 RT=1.50 ce=-45.00 name=cholic_acid-d4">1556537</offset>
      <offset idRef="SRM SIC Q1=183.082 Q3=82.000 sample=32 experiment=1 RT=2.10 ce=-30.00 name=hippuric_acid-d5">1573132</offset>
      <offset idRef="SRM SIC Q1=169.103 Q3=152.100 sample=32 experiment=1 RT=2.52 ce=-15.00 name=phenylalanine-d5">1589545</offset>
      <offset idRef="SRM SIC Q1=121.100 Q3=121.100 sample=32 experiment=1 RT=3.11 ce=-10.00 name=proline-d7">1606042</offset>
      <offset idRef="SRM SIC Q1=121.045 Q3=76.100 sample=32 experiment=1 RT=3.97 ce=-15.00 name=succinic_acid-13C4">1622700</offset>
      <offset idRef="SRM SIC Q1=150.093 Q3=131.100 sample=32 experiment=1 RT=3.80 ce=-15.00 name=glutamine-d5">1639013</offset>
    </index>
  </indexList>
  <indexListOffset>1655435</indexListOffset>
  <fileChecksum>EB63EE1238718D2F43015183E6B61125A4133834</fileChecksum>
</indexedmzML>