<?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="sample4experiment1SpectrumParams">
        <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="2264" index="0">
          <cvParam cvRef="MS" accession="MS:1000235" name="total ion current chromatogram" />
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13172">
              <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="6632">
              <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=4 experiment=1 RT=3.45 ce=-10.00 name=Glyoxylate" defaultArrayLength="2264" 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="13172">
              <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="3920">
              <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=4 experiment=1 RT=3.89 ce=-10.00 name=glycine" defaultArrayLength="2264" 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="13172">
              <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="444">
              <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>eJzt0s8rBGEcx/EpETmotSeKCX+DHIf2xNXBwdHZzUVtbUIbtfmxfqSw68eNA/Ykh1WKzQVxkcMmdvOrloiDNnk+DzWbv0Dv1+XdPPNM8+2ZcRwAAACgRGLcM+2bV28mbZfU1LLauaIGkmpoUR1aVZvW1W27796u76751+NzqjOmehHVHbHXYTUbU4en1YNZf3/mvbbz1O+oVcem6ditaSH7aVoZLW//7sdqman79m7W3d4HPVdzZepVnJpGoqrXf2maDee1r+1Z91sL6mHONJG6076BoulGsda8J9jcaPoYaTCNutWm6fyTnu+5UHNH6klG83ed6XpPcziZfTWwpYY21Rd77nX2vAeT/nYk1NcZtcW2O/53vQk1aP+D9Ki/qSm19LucL9i57H/x+50BAAAAAAAAAAAAAAAAAAAAAAAAAADwX3wBO4l2GA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=87.009 Q3=87.009 sample=4 experiment=1 RT=2.16 ce=-10.00 name=Pyruvic_acid" defaultArrayLength="2264" 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="13172">
              <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>eJwtm2VgFckShQMBYkjsxmZ60MUXt0W2C5cQ3N3dbYEHLO4Oi7u7u7u7E9xdYgQi5FV3n/w52SQ7uXemvq76uklt6/2eUbXC5ahnC199i2ohtz1oPai200kuPhmdsO50T1np7in5755+8lD19KnzTRgkCx9reOZe06Ey7/cy/ZPKjZCpDt5vUW3RaJnfOj3pbvrxstHwbfva/TtJVvj7/cMtCVNlyRtd3ZeWmClr6l8wS1pDig6fNGWenFS+zZsb2RbLn17TIkIOLZe9io3cT6NXyeev/qo2MNdaGTx7XYMlwzfISVP2lWvw5xZZ80uRD48jt8scERtLJX7fKVdnP5g0IXa3HDtk1e9pdfbJae6n2g7bfEDOm/biTLd0h2XZo/XmZZ1+VLZ8XMV9sM8JmVIl9+r9HU/KlTu9KsYfPyUr2p9elgg7I3+t6Lz7Y/+zcrFP9fp5r52TeVrMOBWX+4K8fK5Pu+JjLsqeheulHvjkksy0pOiqPSWvyJ3pXBViZ12V9fv+eFH08zWZ8OXTib+y35Dhqx/PbHrjhlzS5GqbIcNvyvhF6oK3ZLU6SSH979+SC9N+eT977G2Zpf3XZhX+viN3RJR7szn+jqRSU3u7dt6VN7M9+jWi2z3ZeOTj7gVy3Jfvu+X7Mf/JfTm44dCRqeY/kF500bt7nYdyYd6Q/+54RcosE0M9xp6OlDv6dZn1Zdgj3OfH8vyhA9PSfX8sm6z1COmz8Yl8P6PRqoftnspeXxoHTrKfyZT765ZF330mq70YGrit6nO5UrSc/X3TczlwTkiaRhlfyGvXE0Yt6PtC5kr/JCXyzgs5strx4aLUS/lw7MrE1otfyiInx/AdfynTlZSfPNq9kq37Z+1a4+wrWWnH/DnlCr6Wa3K+21l/4Ws5sb26829kzxW305Xu+UZeDcr+R537b+Su+gtrVyz/Vvpfet+z6ea3Mj5d6wU1Xe/ko4qq0N7JModyvGj44Z3Mom/gezmy58c8rY++lx03tWlQL9cHWePdvRGVZ32Q+W724CfzUc4elYcr8aP8Vfjttj9ef5StX67qmanhJ3luduv8v85+kn/qB/1Zzol5sPHK+s8yYfV/XfaFfJFt+WorJn2R59Nkejsp4Yvc+HXNgnndv8qJ45rdPvLqq+yzsWXOpc2/yftNw96Mv/JNrvypfsF32YirP6zjd3k49etW/Vd+l/xwIjve+i5/REwokybxu/QbOdt1L0uUvD3/QJdHFaNkvZqXi0d3ipJzSqeKGDstSj7hKpm+LUryTXs44XqUbDq+1L2zX6Jk9VObb7mnj5alfzvXy+eNljcyb620u3K03FJ+nO/wDtHmfo6Jlh3HFd/guypall+fYUDkiWgpLr6Ra55Fy7K1bs5q8TtahqgXLmJk7Cx1Y2Lkjd1N4w42i5Fb7xbmJxcjGYqBfRfHyFM3krdHHI2RSRujbkW8jJHFx7yJi/CIlb1bPAyplT9Wflrw/GTZurEyR787r8sOipWtwi94lFscKyMnXN+R70SsDGh7+na+N7EyovT+H/m84+SQDzkLe+aPk+30heLkjNfRmW/1jpO3ahRrPnVunHTtHDivysE4GbRndbj/0zjZTN3W1D/AyQ9ZWBV2gx+y2/zq/IR/yDXqMW38IZ/OmcBP5Ie8W2DOta3JP2TGP3ct/ZYrXqa9cPRthXrxUp57vHfssHg55Ezi2HPr4uWuU2ENPG/Gy89MZY3EeJnzeJPoKX/8lK2P/nPyau2fslGTMd5Zh/6UnjGVkq2VP+VBpiXowk/ZLfeFl37ffsqHavkL+iUnJ5SsEFrul8zhXv/5P51+yQ7qhc/+JdfmcXXOfOyXfFN2UN6YD79knayVMoeGJMhB+gUlyCUfwlvs6Zkgvywrm//OogT5d4M/k2LOJ8gZXs6VgLgE+fxYxiVFsyXKwgNSutevnSjPTFULV6JUq8qojYmyU/zrtivvJcr9W/iBuSdJz3bnUr0olCSbBu+/6dYqSW66sn5llilJUq0eBQ4kyemLlpyv9SZJPqs9bX4v/2TZ+3IzEVA2WR59FSgudkyWEQqIGcnS/69u/ZzDydL3w/7t7u+SpV7W/X/L03G5W8yo8FvyTTrepN9v8/pW/ZaZGvqkJN38LQfowkyRF08E/lz6V4p8dKf+saG9U2Rv/zEnLq1MkZV3n63mdSdF9hg8dG1+dzc6QKNfng9xI1Gqc6WuBd3oBVdRShU3WhPu3+q/Vm7U+e67bvkGuVFe9UCmudHGi0M+N1jnRrqMj7nR2pefT3d+4EaH+3ZsXyrKjQI7RE2M90pFV9b07348WypS1TWhTCoKyVk/7ep6qchLLeDdUpGup9GpaOO/2efeXJyKGhVt0urZnlTUdsjw2y+upaJLGdQKnIqu/T1sfMtUqWlSvGo8qekN3+1iBVPTirCCT3JUSU1JY8/lTN8yNQXeqPTg+wD+ua27i12alpoUFlvWpaab+yZsGnc8NXFT6NXiYWpKt+7EtytRqalz17lWER93Muu3O4V57xp8pow76fqt7056ne3mTvp+j3anCrr9udPJSysr79vtTi/edk6mK+5kF/GJvPnGnXQfTXGnokOb3/sYkoZ6nv29639F0pB+HDXTEH0tHjy7Uxp6cPnisuBRaUivV4vTkOeEqK3Z9qWhFR14obiRhrZ02nHk2Ic0dJBXo7up09LZbukuf7LS0hOm5kbRtFS/9q+PR8PT0j21PLRLS/vb/fuw3JC09Fflqv1+zUhLh3Nl8tm7Li3pvnY0LTll/vtV7E5aUtX762NaGl2LB4hU6ShN4Vcj+4Sko1drF5/JUigdnWxV68eRaulIt6226cg+t3/yg6Hp6OepDpvazE1Hg/paGZ5vTUf1el3I3+V8OirQfWDN78/TkV52E9ORT9aECycCPajH66uxfxTwIN3Xq3jQiRJxc7e38qCPzzw7xg7yoISm0rfodA/yVAvfOg9aFni737QjHqTr+5YHZei7Zcqj9x7ElC5IneJBw66OW5PH5Um6/+TzJEXNGPKkLbz6HmjgSfxmh5zv6mnqcYQn6WVhjidxs9jxYqMn6fXpmCdtnc5A3/Yk3VfeeZr3l+BJ+vZn9KJoe82hOdm8aNm39efCS3rhuXkRv/qnh9t4kZ6rBnjRHNe9FRUmetHpbW4H7y/xovl7S+ccvMOLuh0ZMCfkjJeiacHhe170q5Ff884fvMhveIc23klepKaZrRm9aXlwqtxNs3rTfp6Skop607X264ssr+JN6mUHNPMmPQ/08abN7Ud7xIz1Jpe6PQu9qc3ioZcab8fXz3hTfL7JlaZHetP4gM2h+b95k+HeB5z40NK1dflJ+dCPfrveVSYf8/7r+1C6FnxHOvuQWl6vD/WhoMrZqkZM9yE1Bd1e6UOfF2f8x3OfD4WP2Pk6+LIP8dDAC5oP+Tb5a8+FHz6kVttuGdLTsLIeG7/mSE9ZM8f2aFQuPXXhqWxvw/SUYd79kqJXeuLhjMlNT2X6XJt4a1l6ejaPb9SB9JS997qCfW+mpwN3uEF8SU+zuL0W8MpA3Z72nTw9Rwaq0D5g/FeZgfSY2zwD8dWHbxuUgfR8MScDbb5+t9Hn7RnI9PkM1LZIw0J5P2SgwW9//q+sR0ZSU1vjPzKSwjmxUkbKG9M194V2GSlctbWRGUnPh0sz0owC1Qc3PJSRduZjMu9npNu5S3YIis1IcX8UiPzhm4lCnuVt9yl/JlJlUjo8E3G1t1nWJRP9wdNOqvH837nO7mmxOhNVO1K7S49TmSisbqQ17EUmc7/dfKmleqN+vhTDU7nI5ktN1YMr6kvfRi9eHlfRl9QY0bOBL5l5wZf0fDzAl5iuqvPH+tJxtazP9SWXHhh8KWEEV9huX9p+cGaxtad8Sa1ekTd96SFPSSuf+9JX389vOnzzpaLLx4/O/9uX/vmTn0x6PzpymD8sP3KrwZ00rx/dydcx9GUpPxpTsOY67yp+lCY9P4n6frRqRvqao1r7UZ/Sj7M+6O5Hul8N9qPHXdx6jxrrR0M/N3h7e6YfrT8tRh9dwtdZ9Fas3+BHqfrxK9rjRwX5dg494UctspSPan/Fz9ThA/65gdwZXvmRWrZ8vvpRM37c1X/60dwtO9K5UvuTmff9qTHj0jXQn+pWUR3RnyyeCqrm9KfKqmEW8Ce17FQt6U9d9eDpbziu6k96bqntT8ouHjX2p/G8WnRu7U+j+1eZ+6OTP9VWhdTLn8I/pinmN8ifroWqB+VP2dTHaH9apzCZ6I91yZ+GK4GZ60/Gk/yp4ckNa2qt8KcH32NrNF3nTzykzm69xZ925OYOvcvfrKMH/GlCm4K5/nfM39yvM/w6vv7b8+NFf8PtdX+zPt7xJ7Vc5Ynkr6sLPfM3dfqav16SV9qP/qTnnm/8dbaeEnH+tOfCoGPLE/jrvDx7ugVQxU7lyxxKE2DWF68A2laVxSBjAM1R47N/AGl/CQ6goSU2/93YCiB9uzIHUIa8Y99nzx5A/C4zeuYKMP0tbwDddlcFEEBpPx56cqBIABkvCaAFT7gRlg6gS6crbO36dwDpubNCABWYueJn4SoBNGPppWFhNQJI60VEAGWftTrnu7r839xd45sEmNfbJoDyq0LpzNcpcmZngV4BpOxHDgwgj+9B1eoMCzD1MSaA9Ng6OYDUy5swi9/XrJK35y8IoGHBj5O2LA+gsRlqb5+7NoC6cztcvC2ACqaus+vUoQCKTb4z+MO5AHqf5e7SwNsBtMVu1qHMM7y+j3xd1QBjA6jR8s1bH6QE0F9ZeOX3DqRvAWGLCwUGktYuEUgtEl2Vs+UKJH/zDbMelw6kEfcynZlaMZD0WBMRSHpsaRRINx8owQqkCVdGDxrQNZDKnRgZ/qVfIMXsHpGl07BA2rR+WNzTcYGk7LTFjECqsi8m+c6CQHMfVwUST8Xrz20ONPdjbyBlHvep7oFjgZRGDQIXAunwnHbNtt0MpL6qsB4FUq7/tUqz4nUgqSkm5GsgzeVvz4oPJIW1dyqX4dvbRW87XJ/iFugy/V+4SPtMThdpHy3kouNFzz979ZfLrF8VXaT3AWq6yK8EG3gjF53PU3r25dYuGqEHQhcVU9/o5yKFT4lhLtJeNc5FjT8XPJxrhotUG1izwGXWuVUu0l622UXa6/a6qDJP7VOPuSjxeyiP3C7irhI+4qaLujxwZYmPdJGasnu/dtH1rcmTs0W56N8Z77LcTXZRob48uXkH0fN6h2uWDg6iWcV40sweROWDZgxeXiiItA+VC6L+armtEUQ8RT7a1SjI1FP7IBrXWD3ZICr+l6qEIHobpjYygmheUruLBecFUdWnNfklBpGibO72INrAU3rVI0Gk9xMuBBEPVU023A2iyZnbf232MogSW/BEFx1E3Rf9s2SVezA9vj+qf5XAYIpwTa3xMUcw6e2L4sGk7HhqjWBK9TS11+TWwaQwbN43mMrxVJ17TLCpx7nBtOHToFeX1gXT0wO7Ci85EGzm0DPBdLMqT6jXgyk8U6Hn9R4Fk9LXN2+D6e9lYxr8Ex1MBzpyJ/8dTIX/vH9hsVcIbY51cy/gCqE/juQtdyJLCBkfDKEP2VmESoYQN7Fp/SqG0ONdjc6nqR1CenuiWQhdL7+pTJ5OIVTdS92xEHM/h4dQ2QW5Pj6bGEL7WtfN0W9uCBXUhReC5xpC2fddu5V7fwj1VAPvqRAzP1wLoZncPp49DCF9uTchNIbbnHtUCF0tw6KbFEJVeZXP4Rlq5ueAUOIq+7da5lDaw7obmTeUVLvqUSKU1r+vViClfChlVRslEaGkbnf2pqEUqMSxQyhNZ/2r1ieUPNRC/r9QGvVfxSk9JoSa5zM71NTbslA6fqbyI2dTqNmu2RtKeh/jZKip9yuh8JZQyrwp6PevV6G0sC//6LdQClGDT3wozc/BN9QtjKr8MTD1Is8wUuN8tG8YVVaNIDSM1Gq2OmsYVZrS411injA6zWNygyJh1I81aGfpMIr6W+1chVFfNUiEh9H3KB4w64eR9r0WYfRNbV90CKNeaoHpEUZCFf7AMMPt8DDjFePCSO9zTQ8z6868MDPnLgsjvc2zPowuLDg8b+b2MOLpP9OH/WF0PrzkpPIn8LovhJl55kYYaX19GEaxalvlRZjh5mMYaY+MDqNdapvtRxit2PZoWr7EMNOfUsLM/XG36GmuYiXaelp09Qp/pLeIq55XBIv0NoPLotJq4yjMItXmezmW8ZdslpnLclnUecos/w35LMrptb1GpkIWqbczqJhleOB027dx/bDiFqndxRRO/X5LWLSBl9G0JS0qrsSSU2+7lLKoTkVeCTifRG7nTmxRN3UhTr0/WdqicWr7i1N7dBmLlt/gBZvzTx6vcpS16FDK3o3rOavqB22R3q/g1PPT35bxFs4INaBLix51vHVwL2cXtr5SZBkv4ByT34n6u7xFvmpjgJNlyFW5gmXmTs4DanysaJHGhJOv0rpuJYvaMF53OPW8WtkihWUk55i61ZeOrMLXU95fla83Muep8Zz51DZiNb7edvd3UzmD9EBskdKK6ZyFat857lfDomNvK9yay6nn93CL1DK7iLOTEoCaFultFE6tvREWZRwQSes5dZ3VsoyncO5jrSlU26KKt+ZO3s2px4I6FrVSAx+n2W/i56t+MafZ37HMHMJp9gMteIdFZdTlGlikfuwWZ0P9YdErhSFnn7FFhjZvZJHC9ynnlN2ZlrdtbBkeOTWvTSzj15wn/JQQ8vNR28uc/C4yDGhmmb7CGddbXdAitqVKyZy+fLWRLfh+luB30pKfj95YsMx62soy6waneruZWlum/jm/8MtzteHnw792Aafeh2pr0X+T1Qu0zBzZzjJzOade59tbpLdLOfW63oHrndveTk41LhfraJHZ3+Z6f8pi1InrXW1IcaptQurM9a7fMNe72o7pYpF6vJc4n6jH1pXr3V29E4v0be5mkXq39zi1J3fnem+rfrNl5tUeXO/88l5yVlW/tqdF6nLvOdupH+tl0bev/MGpdlv69bbIWzdmy/htH4v0Pj6n7t99LZL6By1SPzWWU/tNf4vecflN5hygH4hl/IBT76cNtMjmxzuPUz220EGWmTc5z/BtzvKPRer2rebUvjjYoh78djdyqreRfwjX5dhhN3Zz6m3ioVyXar+UU/1Yqf9Zxnc4q2sBtYif2vOTnB1UIQy3KEqNIZwajxEWpVc/yLlQlfO/vD6pgubco8pvpEV635ZTl8soi1QZPOf8oB7vaIv0PiKnfhxjLDOncOrbN9aCx1v0l3q74yzS+9ycxo8ts9/G2UtdboJl5qSJFk2aqD7A+SRwPgmcTwbnk8H5FHA+BZxPBedTwfk0cD4NnE8H59PB+QxwPgOczwTnM8H5LHA+C5zPBuezwfkccD4HnM8F53PB+X/g/D9wPg+czwPn88H5fHC+AJwvAOcLwflCcL4InC8C54vB+WJwvgScLwXnS8H5MnC+DJwvB+fLwfkKcL4CnK8E5yvB+Spwvgqcrwbnq8H5GnC+BpyvBedrwfk6cL4OnK8H5+vB+QZwvgGcbwTnG8H5JnC+CZxvBuebwfkWrku1Xcyp92m2WpTm3dTcXzhnjUgs3Wcb12VQt4gYzi1bH7QetN0y+4acelt+h0UNBuSYn8L5wmfOxtE7uS5XpzqSdhfXZek+1yZyTrr19LnPbq5Lvsx0TvVt/z0W6fMAzmOF+JO9mAs49f78Pq5LtU/OGTO9/oAc+y0axW1t/X5wfoDrsiELGmeeLxmOFToIzg+C80MWqWrZy6nPNQ6D88Pg/IhF6fx5QjwCzo+C86Pg/Bg4PwbOj4Pz4+D8BDg/Ac5PgvOT4PwUOD8Fzk+D89Pg/Aw4PwPOz4Lzs+D8HDg/B87Pg/ML4PwCOL8Izi+C80vg/BI4vwzOL4PzK+D8Cji/Cs6vgvNr4PwaOL8Ozq+D8xvg/AY4vwnOb4LzW+D8Fji/Dc5vg/M74PwOOL8Lzu+C83vg/B44vw/O74PzB+D8ATh/CM4fgvNIcB4Jzh+B80fg/DE4fwLOn4Dzp+D8KTh/Bs459THyc4s2jeZBi7Nk2InmWV5YZp7nrMfjV86XXJfPGQBOfU7yivsPT9fbOSesb3ypyGvL+AjnynvFvpV6Y1FBBQon0xAo33JdqsGN8z5/u/I7rssrLcMvcEa150/eW/SvAoozPWNW9wPXpTon5szFWDT+aBkv4lS7aS0/gfNP4PwzOP8Mzr+gn39BP/+Kfv4V/fwb+vk39PPv6Off0c+j0M+j0c+j0c9j0M9j0M9j0c9j0c/j0M/j0M9/oJ//QD+PRz+PB+c/0c9/op//ski9vO2cgeoBJ4DzBPTzRHCeCM6T0M+TwHkyOE8G57/B+W9wngLOU8C5m2045zTnSrbhnFNznto2nHNqzt1twzmn5jyNbTjn1JyntQ3nnJrzdLbhnFNz7mEbzj1twzmn5tzLNpxzas69bcM5p+bcxzacc2rO09uGc07NeQbbcM6pOc9o43zBNpxnsg3nnJpzX9twzqk597MN55yac38b+4c2qXKKCLDNeROnWubrB9qkjzk5x/Gy3NRlk1puH3OqbbXWQTbpc3vOQ5GTkzsG28ZHOe96dcnWI8SmdgoUTqahar9Qm4arwY3Tm789OMym+SkzRyRy5lCfWDbtYhxT2Tbp82JOhY+HsKkZYzGZU7W1DI5Nql3N5EytwMtsG845dT/PYhvOOTXnWW3Tzzl1P89mm37Oqft5dtv0c05zLmibfs6p+/kftunnnLqf57RNP+fU/TyXbfo5p+7nuW3Tzzl1P89jm37Oac7RbdPPOc35lm0459Sc57fN3M6p5/Y/bcM5p+a8gG0459ScF7QN55ya80K24ZxTc17YNpwXsQ3nnOZcwjacc+qyKmYbzjk158Vtwzmn5ryEjX1i23Be0jacc2rOS9mGc079Nv6yDeecmvPStuGcU/9YGdtwzqk5L2sbzjk15+Vswzmn5vxv23DOqTmXtuGcU3NO4JzAeXlwXh6cVwDnFcB5RXBeEZxXAueVwHllcM5p/NyGn4PzquC8GjivBs6rg/Pq4LwGOK8BzsPBeTg4rwnOa4LzCHAeAc5rgfNa4Lw2OK8NzuuA8zrgvC44rwvO64FzTuPnNvzchp/b8HMbfm7Dz234uQ0/t+HnNvzchp/b8HMbfm7Dz234uQ0/t+HnNvzchp/b8HMbfm7Dz234uQ0/B+etwXkbG35uw8/BeVtw3g6ctwPn7cF5e3DeAZx3AOcdwXlHcN4JnHcC553BeWdw3gWcdwHnXcF5V3DeDZx3A+fdwXl3cN4DnPcA5z3BeU9w3guc9wLnvcF5b3DeB5z3Aed9wXk/cN4PnPcH5/3B+QBwPgCcDwTnA8H5IHA+CJz/A87/AeeDwflgcD7Ehp/b8HMbfm6buf1/XJc8fp3gVGNVxWG2mds51RhUfTjXpRp4OPW/axxhm/NjTqUTDf+1zTkO5yu+TPORXJf87aecvztyhxrFdZnMn4wC56O5LvPzKxkNzseAc07V1gaMBedjwfk4cD4O/Xw8+vl4cD4BnE8E5xPB+SRwPgmcTwbnk8H5FK5LfvnLp4DzqeB8KjifBs6ngfPp4Hw6OJ8BzmeA85ngfCY4nwXOZ4Hz2eB8NjifA87ngPO54HwuOP8PnP8HzueB83ngfD44nw/OF4DzBeB8IThfCM4XgfNF4HwxOF8MzpeA86XgfCk4XwbOl4Hz5eB8OThfAc5XgPOV4HwlOF8FzleB89XgfDU4XwPO14DzteB8LThfB87XgfP14Hw9ON8AzjeA843gfCM43wTON4HzzeB8MzjfYsPPbfi5DT+34ec2/NyGn9vwcxt+bsPPbfi5DT+34ec2/NyGn9vwcxt+bsPPbfi5DT+34ec2/NyGn3Ndqv/hgA0/t+Hn4PwgOD8Ezg+B88Pg/DA4PwLOj4Dzo+D8KDg/Bs6PgfPj4Pw4OD8Bzk+A85PgnFNti3c5Bc45iyqRO8112Zx/w2lwfsamRzyWxnOqcXPoWa5LHiOTz6Kfn0M/P2+b/XZOvd9+wTb77ZzqMWS6aNNtvr1zONuoB3iJ65Jvx0JO9Tbty+CcU72sbFe4LpVAcu7gy+S+ynWpbiSnPg+/ZlMT9Qmn/ndt17kulWhyuqmCuMF1yWPuMU41vpa/adMG1s8znMXVIH2L65J18dItzO23MbffBud3wPkdcH4XnN8F5/fA+T1wfh+c3wfnD8D5A3D+EJw/BOeR4DwSnD8C54/A+WNw/gScPwHnT8H5U3D+DJxzGj/H3P4cc/sLG35uw89t+LkNP7fh5zb83Iaf2/BzG35uw89t+LkNP7fh5zb83Iaf2/BzG35uw89t+LkNP+c5k8vzOaf+9y+fwflncP4FnH8B51/B+Vdw/g2cfwPn38H5d3AeBc6jwXk0OI8B5zHgPBacx4LzOHAeB85/gPMf4DwenMejn/8E5z/B+S/M7b/AeQLm9gTM7YmY2xMxtyeB8yTM7cmY25Mxt//G3P4bnKdgbk/B3O4m4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4uaAaX3XxOzXkWAT8X8HOBc3VhOM8mDOecmvPswnDOqTnPIQznnJrzP4ThnFNznlMYzjk157mE4ZxTc55bGM45Ned5hOGcU3OeV+DfJwjDeT5hOOfUnOcX8HNhOP9TwM+F4byAgJ8L+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5MJwXF/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPwfnBM7Lg/Py4LwCOK8AziuC84rgvBI4rwTOK4NzTuPnAn4ucH4ucH4ucH4uTD+vLkw/59T9vIYw/ZxT9/NwYfo5p+7nNYXp55y6n0cI0885dT+vJUw/59T9vLYw/ZxT9/M6wvRzTt3P6wrTzzl1P68nTD+vB87rg/P64LwBOG8AzhuC84bgvBE4bwTOG4PzxuC8CThvAs6bgvOm4LwZOG8GzpuD8xbgvAU4bwnOW4LzVuC8FThvDc5bg/M24LwNOG8LztuC83bgvB04bw/O24PzDuC8AzjvCM47gvNO4LwTOO8MzjuD8y7gvAs47wrOu4LzbuC8GzjvDs67g/MewvTzHuC8JzjvCc57CdPPe4Hz3uCcU/fzPuC8DzjvC877gfN+4Lw/OO8PzgeAc07j5+B8IDgfBM4HgfN/wPk/4HwwOB8MzocI+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5MHP7aAE/F2ZuHyPM3M5p/FyYuZ1Tz+3jhJnbx4Hz8eB8AjifAM4ngvOJ4HwSOJ8Eziejn08G51PQz6eA86ngfCo4nwbOp4Hz6eB8Ovr5DPTzGeB8Jvr5THA+C5zPQj+fjX7OafxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM/B+RZwvlXAz8H5NnDOafxcwM/B+Q4BPxfwcwE/F/BzAT8X8HMBPxfwc/TzvQJ+LuDnAn4u4OcCfi7g5wJ+LuDn4PwgOD8Ezg+B88Pg/DA4PwLOj4Dzo+D8KDg/Bs6PgfPj4Pw4OD8Bzk+A85Po5yfRz0+hn59CPz+Nfn4a/fwM+vkZcH4W/fws5vZzmNvPYW4/j7n9Aub2C5jbL2Juv4i5/RI4v4S5/TI4v4y5/Qrm9iuY269ibr+Kuf0a5vZr4Pw6OL+Ouf0GOL+Buf0m5vab4PwWOL8Fzm+D89vg/A44vwPO74Lzu+D8Hji/B87vg/P74PwBOH8Azh+C84fgPBKcR4LzR+D8ETh/DM6fgPMn4PwpOH8Kzp+B82fo58/Rz5+jn79AP3+Bfv4S/fwl+vkr9PNX6Oev0c9fo5+/QT9/g37+Fv38Lfr5O/Tzd+jn79HP36Off0A//4B+/hH9/CP6+Sf080/o55/B+Wdw/gWcfwHnX8H5V3D+DZx/A+ffwfl39PMo9PNo9PNo9PMY9PMY9PNY9PNY9PM49PM49PMf6Oc/0M/j0c/j0c9/op//RD//hbn9F+b2BMztCZjbEzG3J2JuT8LcnoS5PRlzezLm9t+Y239jbk/B3J6Cud3NgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/dwzngY7hnFNz7nIM55ya8yAHfu4YzoMdwzmn5jzEwd+VOobzUMdwzqk5D3MM55yac8sxnHNqzm3HcC4cwzmn5txxDOec+u1mdnB+7uD83DH9nFP386wOzs8dnJ87OD93cH7u4Pzcwfm5g/NzB+fnDs7PHZyfOzg/d3B+7uD83MH5uYPzcwfn5w7Ozx2cnzs4P3dwfu7g/NzB+bkDP3dwfu7Azx2cnzvwcwd+7sDPHfi5Az934OcO/NyBnzvwcwd+7sDPHfi5g/NzB37uwM8d+LkDP3fg5w783IGfO/BzB37uwM8d+LkDP3fg5w783IGfO/BzB37uwM8d+Dnfz4NVntaUDvzcgZ+Dc07996rlwXl5cF4BnHPqv7epCM4rgvNKjvn7UE799yCV+X52f301tjI4rwLOq4DzquC8GjivBs6rg/Pq4LwGOK8BzsPBeTg4rwnOa4LzCHAeAc5rgfNa4Lw2OK8NzuuA8zrgvC44rwvO64FzTnN+7uD8HJw3AOcNwHlDcN4QnDdycH4OzhuD88bgvAk4bwLOm4LzpuC8GThvBs6bg/Pm4LwFOG8JzluC81bgvBU4bw3OW4PzNuC8DThvC87bgvN24LwdOG8PztuD8w7gvAM47wjOO4LzTuCc8/8z9yD+</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="472">
              <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>eJzt0U8ow2Ecx/FfynKgnOVEiZvT3DRx4uIopXaQ3ZbjEqXcpOVGYvkz/7ewobWVtnKQwuIiRQ6Tk3LSTsjz+e5gRzm+X5d3v2fP77tfz+N5AIB/Vz4NuIaO1fKR2mHrPms2rTZYv6xdJ2rBWrKm7b1H2zdr80uHaszasqsGE2r/vrq4o15sq/k9mxNXu209tvn7OWHzJqv2V+YOHdj3Z1ynRy/Uq3vXwMSra3Duw7Wxwev5aWSp1jW4UOf6HFHbR3yu3kON63v00703HtD7q71vmht+Uf1PrvnUnf6380rfk7O2XarD1qkb7ctpvzd4qznRop5br9Xkudp3poaqznsmpQ7Y/RZsPW7nntpSK+dXec4m1TFbr7d7KdvvPjvXYkxtWleD1vk1+y67h+yGOmT3FrY5/lU1s6I2L6t5Wy/ZfgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA/ugbXBeCpA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=87.045 Q3=86.900 sample=4 experiment=1 RT=1.02 ce=-15.00 name=1-butyric_acid" defaultArrayLength="2264" 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="13172">
              <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>eJzt0j1LQlEcx/E7NvQaRMiloa3hjkJvIHwNPTi3anApwgqCMEtRkrKM0Cihh0nqEpYVRBEODb2IurQX3N/f4cwtDd/P8uV/vZ5zOOp5wD8zs5mOm62o4Z76sat+19VK3Z2HvW1Yj9RER01eqtGVmrqJG2Sf1K83Pa8N4qYHmoPCqxrd6/NyV529sH1bar6pjhyqrQN10s5fbLjnfN9WT2rWLdWv2ly2c9t7n0W3Pbuf0o616r4/XD+5oYar9nxFnS6onZztu6QeL7vv++vuPpkz+551TPcRjIeap+40L/TV5ou6pvsLfh7V/rM68aDOW0s9rTOndbxFmzPXas72adv9t8/V0VM1b/ce2e/vW1P2/0nsqwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPizXyI5dtY=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=88.040 Q3=88.040 sample=4 experiment=1 RT=3.63 ce=-10.00 name=alanine_" defaultArrayLength="2264" 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="13172">
              <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="472">
              <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>eJzt0TlIA0EYhuFgY2dSWFhJCgttPAoRRCHpUljaCBYWImIlEZGgYJCAIor3AR6IR2GMGvAgeIAQRVAUwWAhdha28YIgFuJ8s8XWYvc+zcvOzu4/y3o8AAAA+LPUZMC0ckz1jaitc+rHvFo64V53ujirZmbU0LTasKC2jLv3tw/aOXa/M9/Z58x5WrTrK2rjqrq+5K5zvvi6nbulhjfUWFxd3VankmrHjvq1q0b27XsP1MMjNZ1SP20f7P2wbf+eWpF0P5c4U9dOVa/dX502DSQyptn6d9POXH7wt76ZQtPiV79p13eVaUE4YFreGjSt66kxbSsqMfX3etVmj+lZ95vmHL+Y+vueTaMVj1ovu9f11J3OVXurNt2oy1fq/LX6falmL9Q8rUcj5+7vWz5UTzZV5z9m7X9dGVVTA2oo5r6ODqu5IRUAAAAAAAAAAAAAAAAAAAAAAAAAAAD4Jz/Rsnqc</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=89.024 Q3=89.024 sample=4 experiment=1 RT=2.87 ce=-10.00 name=L-lactic_acid" defaultArrayLength="2264" 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="13172">
              <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>eJwtm2VgFckShQMBYkjsxmZ60MUXt0W2C5cQ3N3dbYEHLO4Oi7u7u7u7E9xdYgQi5FV3n/w52SQ7uXemvq76uklt6/2eUbXC5ahnC199i2ohtz1oPai200kuPhmdsO50T1np7in5755+8lD19KnzTRgkCx9reOZe06Ey7/cy/ZPKjZCpDt5vUW3RaJnfOj3pbvrxstHwbfva/TtJVvj7/cMtCVNlyRtd3ZeWmClr6l8wS1pDig6fNGWenFS+zZsb2RbLn17TIkIOLZe9io3cT6NXyeev/qo2MNdaGTx7XYMlwzfISVP2lWvw5xZZ80uRD48jt8scERtLJX7fKVdnP5g0IXa3HDtk1e9pdfbJae6n2g7bfEDOm/biTLd0h2XZo/XmZZ1+VLZ8XMV9sM8JmVIl9+r9HU/KlTu9KsYfPyUr2p9elgg7I3+t6Lz7Y/+zcrFP9fp5r52TeVrMOBWX+4K8fK5Pu+JjLsqeheulHvjkksy0pOiqPSWvyJ3pXBViZ12V9fv+eFH08zWZ8OXTib+y35Dhqx/PbHrjhlzS5GqbIcNvyvhF6oK3ZLU6SSH979+SC9N+eT977G2Zpf3XZhX+viN3RJR7szn+jqRSU3u7dt6VN7M9+jWi2z3ZeOTj7gVy3Jfvu+X7Mf/JfTm44dCRqeY/kF500bt7nYdyYd6Q/+54RcosE0M9xp6OlDv6dZn1Zdgj3OfH8vyhA9PSfX8sm6z1COmz8Yl8P6PRqoftnspeXxoHTrKfyZT765ZF330mq70YGrit6nO5UrSc/X3TczlwTkiaRhlfyGvXE0Yt6PtC5kr/JCXyzgs5strx4aLUS/lw7MrE1otfyiInx/AdfynTlZSfPNq9kq37Z+1a4+wrWWnH/DnlCr6Wa3K+21l/4Ws5sb26829kzxW305Xu+UZeDcr+R537b+Su+gtrVyz/Vvpfet+z6ea3Mj5d6wU1Xe/ko4qq0N7JModyvGj44Z3Mom/gezmy58c8rY++lx03tWlQL9cHWePdvRGVZ32Q+W724CfzUc4elYcr8aP8Vfjttj9ef5StX67qmanhJ3luduv8v85+kn/qB/1Zzol5sPHK+s8yYfV/XfaFfJFt+WorJn2R59Nkejsp4Yvc+HXNgnndv8qJ45rdPvLqq+yzsWXOpc2/yftNw96Mv/JNrvypfsF32YirP6zjd3k49etW/Vd+l/xwIjve+i5/REwokybxu/QbOdt1L0uUvD3/QJdHFaNkvZqXi0d3ipJzSqeKGDstSj7hKpm+LUryTXs44XqUbDq+1L2zX6Jk9VObb7mnj5alfzvXy+eNljcyb620u3K03FJ+nO/wDtHmfo6Jlh3HFd/guypall+fYUDkiWgpLr6Ra55Fy7K1bs5q8TtahqgXLmJk7Cx1Y2Lkjd1N4w42i5Fb7xbmJxcjGYqBfRfHyFM3krdHHI2RSRujbkW8jJHFx7yJi/CIlb1bPAyplT9Wflrw/GTZurEyR787r8sOipWtwi94lFscKyMnXN+R70SsDGh7+na+N7EyovT+H/m84+SQDzkLe+aPk+30heLkjNfRmW/1jpO3ahRrPnVunHTtHDivysE4GbRndbj/0zjZTN3W1D/AyQ9ZWBV2gx+y2/zq/IR/yDXqMW38IZ/OmcBP5Ie8W2DOta3JP2TGP3ct/ZYrXqa9cPRthXrxUp57vHfssHg55Ezi2HPr4uWuU2ENPG/Gy89MZY3EeJnzeJPoKX/8lK2P/nPyau2fslGTMd5Zh/6UnjGVkq2VP+VBpiXowk/ZLfeFl37ffsqHavkL+iUnJ5SsEFrul8zhXv/5P51+yQ7qhc/+JdfmcXXOfOyXfFN2UN6YD79knayVMoeGJMhB+gUlyCUfwlvs6Zkgvywrm//OogT5d4M/k2LOJ8gZXs6VgLgE+fxYxiVFsyXKwgNSutevnSjPTFULV6JUq8qojYmyU/zrtivvJcr9W/iBuSdJz3bnUr0olCSbBu+/6dYqSW66sn5llilJUq0eBQ4kyemLlpyv9SZJPqs9bX4v/2TZ+3IzEVA2WR59FSgudkyWEQqIGcnS/69u/ZzDydL3w/7t7u+SpV7W/X/L03G5W8yo8FvyTTrepN9v8/pW/ZaZGvqkJN38LQfowkyRF08E/lz6V4p8dKf+saG9U2Rv/zEnLq1MkZV3n63mdSdF9hg8dG1+dzc6QKNfng9xI1Gqc6WuBd3oBVdRShU3WhPu3+q/Vm7U+e67bvkGuVFe9UCmudHGi0M+N1jnRrqMj7nR2pefT3d+4EaH+3ZsXyrKjQI7RE2M90pFV9b07348WypS1TWhTCoKyVk/7ep6qchLLeDdUpGup9GpaOO/2efeXJyKGhVt0urZnlTUdsjw2y+upaJLGdQKnIqu/T1sfMtUqWlSvGo8qekN3+1iBVPTirCCT3JUSU1JY8/lTN8yNQXeqPTg+wD+ua27i12alpoUFlvWpaab+yZsGnc8NXFT6NXiYWpKt+7EtytRqalz17lWER93Muu3O4V57xp8pow76fqt7056ne3mTvp+j3anCrr9udPJSysr79vtTi/edk6mK+5kF/GJvPnGnXQfTXGnokOb3/sYkoZ6nv29639F0pB+HDXTEH0tHjy7Uxp6cPnisuBRaUivV4vTkOeEqK3Z9qWhFR14obiRhrZ02nHk2Ic0dJBXo7up09LZbukuf7LS0hOm5kbRtFS/9q+PR8PT0j21PLRLS/vb/fuw3JC09Fflqv1+zUhLh3Nl8tm7Li3pvnY0LTll/vtV7E5aUtX762NaGl2LB4hU6ShN4Vcj+4Sko1drF5/JUigdnWxV68eRaulIt6226cg+t3/yg6Hp6OepDpvazE1Hg/paGZ5vTUf1el3I3+V8OirQfWDN78/TkV52E9ORT9aECycCPajH66uxfxTwIN3Xq3jQiRJxc7e38qCPzzw7xg7yoISm0rfodA/yVAvfOg9aFni737QjHqTr+5YHZei7Zcqj9x7ElC5IneJBw66OW5PH5Um6/+TzJEXNGPKkLbz6HmjgSfxmh5zv6mnqcYQn6WVhjidxs9jxYqMn6fXpmCdtnc5A3/Yk3VfeeZr3l+BJ+vZn9KJoe82hOdm8aNm39efCS3rhuXkRv/qnh9t4kZ6rBnjRHNe9FRUmetHpbW4H7y/xovl7S+ccvMOLuh0ZMCfkjJeiacHhe170q5Ff884fvMhveIc23klepKaZrRm9aXlwqtxNs3rTfp6Skop607X264ssr+JN6mUHNPMmPQ/08abN7Ud7xIz1Jpe6PQu9qc3ioZcab8fXz3hTfL7JlaZHetP4gM2h+b95k+HeB5z40NK1dflJ+dCPfrveVSYf8/7r+1C6FnxHOvuQWl6vD/WhoMrZqkZM9yE1Bd1e6UOfF2f8x3OfD4WP2Pk6+LIP8dDAC5oP+Tb5a8+FHz6kVttuGdLTsLIeG7/mSE9ZM8f2aFQuPXXhqWxvw/SUYd79kqJXeuLhjMlNT2X6XJt4a1l6ejaPb9SB9JS997qCfW+mpwN3uEF8SU+zuL0W8MpA3Z72nTw9Rwaq0D5g/FeZgfSY2zwD8dWHbxuUgfR8MScDbb5+t9Hn7RnI9PkM1LZIw0J5P2SgwW9//q+sR0ZSU1vjPzKSwjmxUkbKG9M194V2GSlctbWRGUnPh0sz0owC1Qc3PJSRduZjMu9npNu5S3YIis1IcX8UiPzhm4lCnuVt9yl/JlJlUjo8E3G1t1nWJRP9wdNOqvH837nO7mmxOhNVO1K7S49TmSisbqQ17EUmc7/dfKmleqN+vhTDU7nI5ktN1YMr6kvfRi9eHlfRl9QY0bOBL5l5wZf0fDzAl5iuqvPH+tJxtazP9SWXHhh8KWEEV9huX9p+cGaxtad8Sa1ekTd96SFPSSuf+9JX389vOnzzpaLLx4/O/9uX/vmTn0x6PzpymD8sP3KrwZ00rx/dydcx9GUpPxpTsOY67yp+lCY9P4n6frRqRvqao1r7UZ/Sj7M+6O5Hul8N9qPHXdx6jxrrR0M/N3h7e6YfrT8tRh9dwtdZ9Fas3+BHqfrxK9rjRwX5dg494UctspSPan/Fz9ThA/65gdwZXvmRWrZ8vvpRM37c1X/60dwtO9K5UvuTmff9qTHj0jXQn+pWUR3RnyyeCqrm9KfKqmEW8Ce17FQt6U9d9eDpbziu6k96bqntT8ouHjX2p/G8WnRu7U+j+1eZ+6OTP9VWhdTLn8I/pinmN8ifroWqB+VP2dTHaH9apzCZ6I91yZ+GK4GZ60/Gk/yp4ckNa2qt8KcH32NrNF3nTzykzm69xZ925OYOvcvfrKMH/GlCm4K5/nfM39yvM/w6vv7b8+NFf8PtdX+zPt7xJ7Vc5Ynkr6sLPfM3dfqav16SV9qP/qTnnm/8dbaeEnH+tOfCoGPLE/jrvDx7ugVQxU7lyxxKE2DWF68A2laVxSBjAM1R47N/AGl/CQ6goSU2/93YCiB9uzIHUIa8Y99nzx5A/C4zeuYKMP0tbwDddlcFEEBpPx56cqBIABkvCaAFT7gRlg6gS6crbO36dwDpubNCABWYueJn4SoBNGPppWFhNQJI60VEAGWftTrnu7r839xd45sEmNfbJoDyq0LpzNcpcmZngV4BpOxHDgwgj+9B1eoMCzD1MSaA9Ng6OYDUy5swi9/XrJK35y8IoGHBj5O2LA+gsRlqb5+7NoC6cztcvC2ACqaus+vUoQCKTb4z+MO5AHqf5e7SwNsBtMVu1qHMM7y+j3xd1QBjA6jR8s1bH6QE0F9ZeOX3DqRvAWGLCwUGktYuEUgtEl2Vs+UKJH/zDbMelw6kEfcynZlaMZD0WBMRSHpsaRRINx8owQqkCVdGDxrQNZDKnRgZ/qVfIMXsHpGl07BA2rR+WNzTcYGk7LTFjECqsi8m+c6CQHMfVwUST8Xrz20ONPdjbyBlHvep7oFjgZRGDQIXAunwnHbNtt0MpL6qsB4FUq7/tUqz4nUgqSkm5GsgzeVvz4oPJIW1dyqX4dvbRW87XJ/iFugy/V+4SPtMThdpHy3kouNFzz979ZfLrF8VXaT3AWq6yK8EG3gjF53PU3r25dYuGqEHQhcVU9/o5yKFT4lhLtJeNc5FjT8XPJxrhotUG1izwGXWuVUu0l622UXa6/a6qDJP7VOPuSjxeyiP3C7irhI+4qaLujxwZYmPdJGasnu/dtH1rcmTs0W56N8Z77LcTXZRob48uXkH0fN6h2uWDg6iWcV40sweROWDZgxeXiiItA+VC6L+armtEUQ8RT7a1SjI1FP7IBrXWD3ZICr+l6qEIHobpjYygmheUruLBecFUdWnNfklBpGibO72INrAU3rVI0Gk9xMuBBEPVU023A2iyZnbf232MogSW/BEFx1E3Rf9s2SVezA9vj+qf5XAYIpwTa3xMUcw6e2L4sGk7HhqjWBK9TS11+TWwaQwbN43mMrxVJ17TLCpx7nBtOHToFeX1gXT0wO7Ci85EGzm0DPBdLMqT6jXgyk8U6Hn9R4Fk9LXN2+D6e9lYxr8Ex1MBzpyJ/8dTIX/vH9hsVcIbY51cy/gCqE/juQtdyJLCBkfDKEP2VmESoYQN7Fp/SqG0ONdjc6nqR1CenuiWQhdL7+pTJ5OIVTdS92xEHM/h4dQ2QW5Pj6bGEL7WtfN0W9uCBXUhReC5xpC2fddu5V7fwj1VAPvqRAzP1wLoZncPp49DCF9uTchNIbbnHtUCF0tw6KbFEJVeZXP4Rlq5ueAUOIq+7da5lDaw7obmTeUVLvqUSKU1r+vViClfChlVRslEaGkbnf2pqEUqMSxQyhNZ/2r1ieUPNRC/r9QGvVfxSk9JoSa5zM71NTbslA6fqbyI2dTqNmu2RtKeh/jZKip9yuh8JZQyrwp6PevV6G0sC//6LdQClGDT3wozc/BN9QtjKr8MTD1Is8wUuN8tG8YVVaNIDSM1Gq2OmsYVZrS411injA6zWNygyJh1I81aGfpMIr6W+1chVFfNUiEh9H3KB4w64eR9r0WYfRNbV90CKNeaoHpEUZCFf7AMMPt8DDjFePCSO9zTQ8z6868MDPnLgsjvc2zPowuLDg8b+b2MOLpP9OH/WF0PrzkpPIn8LovhJl55kYYaX19GEaxalvlRZjh5mMYaY+MDqNdapvtRxit2PZoWr7EMNOfUsLM/XG36GmuYiXaelp09Qp/pLeIq55XBIv0NoPLotJq4yjMItXmezmW8ZdslpnLclnUecos/w35LMrptb1GpkIWqbczqJhleOB027dx/bDiFqndxRRO/X5LWLSBl9G0JS0qrsSSU2+7lLKoTkVeCTifRG7nTmxRN3UhTr0/WdqicWr7i1N7dBmLlt/gBZvzTx6vcpS16FDK3o3rOavqB22R3q/g1PPT35bxFs4INaBLix51vHVwL2cXtr5SZBkv4ByT34n6u7xFvmpjgJNlyFW5gmXmTs4DanysaJHGhJOv0rpuJYvaMF53OPW8WtkihWUk55i61ZeOrMLXU95fla83Muep8Zz51DZiNb7edvd3UzmD9EBskdKK6ZyFat857lfDomNvK9yay6nn93CL1DK7iLOTEoCaFultFE6tvREWZRwQSes5dZ3VsoyncO5jrSlU26KKt+ZO3s2px4I6FrVSAx+n2W/i56t+MafZ37HMHMJp9gMteIdFZdTlGlikfuwWZ0P9YdErhSFnn7FFhjZvZJHC9ynnlN2ZlrdtbBkeOTWvTSzj15wn/JQQ8vNR28uc/C4yDGhmmb7CGddbXdAitqVKyZy+fLWRLfh+luB30pKfj95YsMx62soy6waneruZWlum/jm/8MtzteHnw792Aafeh2pr0X+T1Qu0zBzZzjJzOade59tbpLdLOfW63oHrndveTk41LhfraJHZ3+Z6f8pi1InrXW1IcaptQurM9a7fMNe72o7pYpF6vJc4n6jH1pXr3V29E4v0be5mkXq39zi1J3fnem+rfrNl5tUeXO/88l5yVlW/tqdF6nLvOdupH+tl0bev/MGpdlv69bbIWzdmy/htH4v0Pj6n7t99LZL6By1SPzWWU/tNf4vecflN5hygH4hl/IBT76cNtMjmxzuPUz220EGWmTc5z/BtzvKPRer2rebUvjjYoh78djdyqreRfwjX5dhhN3Zz6m3ioVyXar+UU/1Yqf9Zxnc4q2sBtYif2vOTnB1UIQy3KEqNIZwajxEWpVc/yLlQlfO/vD6pgubco8pvpEV635ZTl8soi1QZPOf8oB7vaIv0PiKnfhxjLDOncOrbN9aCx1v0l3q74yzS+9ycxo8ts9/G2UtdboJl5qSJFk2aqD7A+SRwPgmcTwbnk8H5FHA+BZxPBedTwfk0cD4NnE8H59PB+QxwPgOczwTnM8H5LHA+C5zPBuezwfkccD4HnM8F53PB+X/g/D9wPg+czwPn88H5fHC+AJwvAOcLwflCcL4InC8C54vB+WJwvgScLwXnS8H5MnC+DJwvB+fLwfkKcL4CnK8E5yvB+Spwvgqcrwbnq8H5GnC+BpyvBedrwfk6cL4OnK8H5+vB+QZwvgGcbwTnG8H5JnC+CZxvBuebwfkWrku1Xcyp92m2WpTm3dTcXzhnjUgs3Wcb12VQt4gYzi1bH7QetN0y+4acelt+h0UNBuSYn8L5wmfOxtE7uS5XpzqSdhfXZek+1yZyTrr19LnPbq5Lvsx0TvVt/z0W6fMAzmOF+JO9mAs49f78Pq5LtU/OGTO9/oAc+y0axW1t/X5wfoDrsiELGmeeLxmOFToIzg+C80MWqWrZy6nPNQ6D88Pg/IhF6fx5QjwCzo+C86Pg/Bg4PwbOj4Pz4+D8BDg/Ac5PgvOT4PwUOD8Fzk+D89Pg/Aw4PwPOz4Lzs+D8HDg/B87Pg/ML4PwCOL8Izi+C80vg/BI4vwzOL4PzK+D8Cji/Cs6vgvNr4PwaOL8Ozq+D8xvg/AY4vwnOb4LzW+D8Fji/Dc5vg/M74PwOOL8Lzu+C83vg/B44vw/O74PzB+D8ATh/CM4fgvNIcB4Jzh+B80fg/DE4fwLOn4Dzp+D8KTh/Bs459THyc4s2jeZBi7Nk2InmWV5YZp7nrMfjV86XXJfPGQBOfU7yivsPT9fbOSesb3ypyGvL+AjnynvFvpV6Y1FBBQon0xAo33JdqsGN8z5/u/I7rssrLcMvcEa150/eW/SvAoozPWNW9wPXpTon5szFWDT+aBkv4lS7aS0/gfNP4PwzOP8Mzr+gn39BP/+Kfv4V/fwb+vk39PPv6Off0c+j0M+j0c+j0c9j0M9j0M9j0c9j0c/j0M/j0M9/oJ//QD+PRz+PB+c/0c9/op//ski9vO2cgeoBJ4DzBPTzRHCeCM6T0M+TwHkyOE8G57/B+W9wngLOU8C5m2045zTnSrbhnFNznto2nHNqzt1twzmn5jyNbTjn1JyntQ3nnJrzdLbhnFNz7mEbzj1twzmn5tzLNpxzas69bcM5p+bcxzacc2rO09uGc07NeQbbcM6pOc9o43zBNpxnsg3nnJpzX9twzqk597MN55yac38b+4c2qXKKCLDNeROnWubrB9qkjzk5x/Gy3NRlk1puH3OqbbXWQTbpc3vOQ5GTkzsG28ZHOe96dcnWI8SmdgoUTqahar9Qm4arwY3Tm789OMym+SkzRyRy5lCfWDbtYhxT2Tbp82JOhY+HsKkZYzGZU7W1DI5Nql3N5EytwMtsG845dT/PYhvOOTXnWW3Tzzl1P89mm37Oqft5dtv0c05zLmibfs6p+/kftunnnLqf57RNP+fU/TyXbfo5p+7nuW3Tzzl1P89jm37Oac7RbdPPOc35lm0459Sc57fN3M6p5/Y/bcM5p+a8gG0459ScF7QN55ya80K24ZxTc17YNpwXsQ3nnOZcwjacc+qyKmYbzjk158Vtwzmn5ryEjX1i23Be0jacc2rOS9mGc079Nv6yDeecmvPStuGcU/9YGdtwzqk5L2sbzjk15+Vswzmn5vxv23DOqTmXtuGcU3NO4JzAeXlwXh6cVwDnFcB5RXBeEZxXAueVwHllcM5p/NyGn4PzquC8GjivBs6rg/Pq4LwGOK8BzsPBeTg4rwnOa4LzCHAeAc5rgfNa4Lw2OK8NzuuA8zrgvC44rwvO64FzTuPnNvzchp/b8HMbfm7Dz234uQ0/t+HnNvzchp/b8HMbfm7Dz234uQ0/t+HnNvzchp/b8HMbfm7Dz234uQ0/B+etwXkbG35uw8/BeVtw3g6ctwPn7cF5e3DeAZx3AOcdwXlHcN4JnHcC553BeWdw3gWcdwHnXcF5V3DeDZx3A+fdwXl3cN4DnPcA5z3BeU9w3guc9wLnvcF5b3DeB5z3Aed9wXk/cN4PnPcH5/3B+QBwPgCcDwTnA8H5IHA+CJz/A87/AeeDwflgcD7Ehp/b8HMbfm6buf1/XJc8fp3gVGNVxWG2mds51RhUfTjXpRp4OPW/axxhm/NjTqUTDf+1zTkO5yu+TPORXJf87aecvztyhxrFdZnMn4wC56O5LvPzKxkNzseAc07V1gaMBedjwfk4cD4O/Xw8+vl4cD4BnE8E5xPB+SRwPgmcTwbnk8H5FK5LfvnLp4DzqeB8KjifBs6ngfPp4Hw6OJ8BzmeA85ngfCY4nwXOZ4Hz2eB8NjifA87ngPO54HwuOP8PnP8HzueB83ngfD44nw/OF4DzBeB8IThfCM4XgfNF4HwxOF8MzpeA86XgfCk4XwbOl4Hz5eB8OThfAc5XgPOV4HwlOF8FzleB89XgfDU4XwPO14DzteB8LThfB87XgfP14Hw9ON8AzjeA843gfCM43wTON4HzzeB8MzjfYsPPbfi5DT+34ec2/NyGn9vwcxt+bsPPbfi5DT+34ec2/NyGn9vwcxt+bsPPbfi5DT+34ec2/NyGn3Ndqv/hgA0/t+Hn4PwgOD8Ezg+B88Pg/DA4PwLOj4Dzo+D8KDg/Bs6PgfPj4Pw4OD8Bzk+A85PgnFNti3c5Bc45iyqRO8112Zx/w2lwfsamRzyWxnOqcXPoWa5LHiOTz6Kfn0M/P2+b/XZOvd9+wTb77ZzqMWS6aNNtvr1zONuoB3iJ65Jvx0JO9Tbty+CcU72sbFe4LpVAcu7gy+S+ynWpbiSnPg+/ZlMT9Qmn/ndt17kulWhyuqmCuMF1yWPuMU41vpa/adMG1s8znMXVIH2L65J18dItzO23MbffBud3wPkdcH4XnN8F5/fA+T1wfh+c3wfnD8D5A3D+EJw/BOeR4DwSnD8C54/A+WNw/gScPwHnT8H5U3D+DJxzGj/H3P4cc/sLG35uw89t+LkNP7fh5zb83Iaf2/BzG35uw89t+LkNP7fh5zb83Iaf2/BzG35uw89t+LkNP+c5k8vzOaf+9y+fwflncP4FnH8B51/B+Vdw/g2cfwPn38H5d3AeBc6jwXk0OI8B5zHgPBacx4LzOHAeB85/gPMf4DwenMejn/8E5z/B+S/M7b/AeQLm9gTM7YmY2xMxtyeB8yTM7cmY25Mxt//G3P4bnKdgbk/B3O4m4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4uaAaX3XxOzXkWAT8X8HOBc3VhOM8mDOecmvPswnDOqTnPIQznnJrzP4ThnFNznlMYzjk157mE4ZxTc55bGM45Ned5hOGcU3OeV+DfJwjDeT5hOOfUnOcX8HNhOP9TwM+F4byAgJ8L+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5MJwXF/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPwfnBM7Lg/Py4LwCOK8AziuC84rgvBI4rwTOK4NzTuPnAn4ucH4ucH4ucH4uTD+vLkw/59T9vIYw/ZxT9/NwYfo5p+7nNYXp55y6n0cI0885dT+vJUw/59T9vLYw/ZxT9/M6wvRzTt3P6wrTzzl1P68nTD+vB87rg/P64LwBOG8AzhuC84bgvBE4bwTOG4PzxuC8CThvAs6bgvOm4LwZOG8GzpuD8xbgvAU4bwnOW4LzVuC8FThvDc5bg/M24LwNOG8LztuC83bgvB04bw/O24PzDuC8AzjvCM47gvNO4LwTOO8MzjuD8y7gvAs47wrOu4LzbuC8GzjvDs67g/MewvTzHuC8JzjvCc57CdPPe4Hz3uCcU/fzPuC8DzjvC877gfN+4Lw/OO8PzgeAc07j5+B8IDgfBM4HgfN/wPk/4HwwOB8MzocI+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5MHP7aAE/F2ZuHyPM3M5p/FyYuZ1Tz+3jhJnbx4Hz8eB8AjifAM4ngvOJ4HwSOJ8Eziejn08G51PQz6eA86ngfCo4nwbOp4Hz6eB8Ovr5DPTzGeB8Jvr5THA+C5zPQj+fjX7OafxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM/B+RZwvlXAz8H5NnDOafxcwM/B+Q4BPxfwcwE/F/BzAT8X8HMBPxfwc/TzvQJ+LuDnAn4u4OcCfi7g5wJ+LuDn4PwgOD8Ezg+B88Pg/DA4PwLOj4Dzo+D8KDg/Bs6PgfPj4Pw4OD8Bzk+A85Po5yfRz0+hn59CPz+Nfn4a/fwM+vkZcH4W/fws5vZzmNvPYW4/j7n9Aub2C5jbL2Juv4i5/RI4v4S5/TI4v4y5/Qrm9iuY269ibr+Kuf0a5vZr4Pw6OL+Ouf0GOL+Buf0m5vab4PwWOL8Fzm+D89vg/A44vwPO74Lzu+D8Hji/B87vg/P74PwBOH8Azh+C84fgPBKcR4LzR+D8ETh/DM6fgPMn4PwpOH8Kzp+B82fo58/Rz5+jn79AP3+Bfv4S/fwl+vkr9PNX6Oev0c9fo5+/QT9/g37+Fv38Lfr5O/Tzd+jn79HP36Off0A//4B+/hH9/CP6+Sf080/o55/B+Wdw/gWcfwHnX8H5V3D+DZx/A+ffwfl39PMo9PNo9PNo9PMY9PMY9PNY9PNY9PM49PM49PMf6Oc/0M/j0c/j0c9/op//RD//hbn9F+b2BMztCZjbEzG3J2JuT8LcnoS5PRlzezLm9t+Y239jbk/B3J6Cud3NgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/dwzngY7hnFNz7nIM55ya8yAHfu4YzoMdwzmn5jzEwd+VOobzUMdwzqk5D3MM55yac8sxnHNqzm3HcC4cwzmn5txxDOec+u1mdnB+7uD83DH9nFP386wOzs8dnJ87OD93cH7u4Pzcwfm5g/NzB+fnDs7PHZyfOzg/d3B+7uD83MH5uYPzcwfn5w7Ozx2cnzs4P3dwfu7g/NzB+bkDP3dwfu7Azx2cnzvwcwd+7sDPHfi5Az934OcO/NyBnzvwcwd+7sDPHfi5g/NzB37uwM8d+LkDP3fg5w783IGfO/BzB37uwM8d+LkDP3fg5w783IGfO/BzB37uwM8d+Dnfz4NVntaUDvzcgZ+Dc07996rlwXl5cF4BnHPqv7epCM4rgvNKjvn7UE799yCV+X52f301tjI4rwLOq4DzquC8GjivBs6rg/Pq4LwGOK8BzsPBeTg4rwnOa4LzCHAeAc5rgfNa4Lw2OK8NzuuA8zrgvC44rwvO64FzTnN+7uD8HJw3AOcNwHlDcN4QnDdycH4OzhuD88bgvAk4bwLOm4LzpuC8GThvBs6bg/Pm4LwFOG8JzluC81bgvBU4bw3OW4PzNuC8DThvC87bgvN24LwdOG8PztuD8w7gvAM47wjOO4LzTuCc8/8z9yD+</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=102.056 Q3=101.900 sample=4 experiment=1 RT=2.98 ce=-10.00 name=dimethylglycine_(DMG)" defaultArrayLength="2264" 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="13172">
              <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="484">
              <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>eJzt0j0vQ1EYwPEmDLVVYjBI2HQQETHUdm18h34Ciw5eGjGUVLVExDuVUi+JMKgahIik2oGISCMilYiJjcFmI87zHMn5BiL/3/LPOff25Jxz6/MBAIA/IZn1TG9W3TasSRObnvNebEdan5H2p6XlZXd8NSVtSkkjk9K6DWl8S5o6lF6emcaKJWn4Qubfz6XBY113X1rR3z/rvjqy7j6Ci/revO57Qdqi4+SYNJqQPs3q7yfc/f6Oh6Vtozo/pOMBaaHPXS847tbeR2FGau/B3mfuyD1vuijN6z2UdD6cl97u6jn03Pbe7Xex39Heg52PrkjvdT4+p8+n3bGtvS87HlmStuv/4npPz3Wg62jtd+rNSf2678FTabV850L6zjS7/WIaCX2aVjL+rp++rdeanoSk3cka00Dnl3kv0Pwh61W9msZaH029ngdZv7EszwEAAAAAAAAAAAAAAAAAAAAAAAAAAAD8K98twoP7</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=103.040 Q3=56.910 sample=4 experiment=1 RT=2.39 ce=-30.00 name=2-hydroxyisobutyric_acid" defaultArrayLength="2264" 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="13172">
              <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>eJwtm2VgFckShQMBYkjsxmZ60MUXt0W2C5cQ3N3dbYEHLO4Oi7u7u7u7E9xdYgQi5FV3n/w52SQ7uXemvq76uklt6/2eUbXC5ahnC199i2ohtz1oPai200kuPhmdsO50T1np7in5755+8lD19KnzTRgkCx9reOZe06Ey7/cy/ZPKjZCpDt5vUW3RaJnfOj3pbvrxstHwbfva/TtJVvj7/cMtCVNlyRtd3ZeWmClr6l8wS1pDig6fNGWenFS+zZsb2RbLn17TIkIOLZe9io3cT6NXyeev/qo2MNdaGTx7XYMlwzfISVP2lWvw5xZZ80uRD48jt8scERtLJX7fKVdnP5g0IXa3HDtk1e9pdfbJae6n2g7bfEDOm/biTLd0h2XZo/XmZZ1+VLZ8XMV9sM8JmVIl9+r9HU/KlTu9KsYfPyUr2p9elgg7I3+t6Lz7Y/+zcrFP9fp5r52TeVrMOBWX+4K8fK5Pu+JjLsqeheulHvjkksy0pOiqPSWvyJ3pXBViZ12V9fv+eFH08zWZ8OXTib+y35Dhqx/PbHrjhlzS5GqbIcNvyvhF6oK3ZLU6SSH979+SC9N+eT977G2Zpf3XZhX+viN3RJR7szn+jqRSU3u7dt6VN7M9+jWi2z3ZeOTj7gVy3Jfvu+X7Mf/JfTm44dCRqeY/kF500bt7nYdyYd6Q/+54RcosE0M9xp6OlDv6dZn1Zdgj3OfH8vyhA9PSfX8sm6z1COmz8Yl8P6PRqoftnspeXxoHTrKfyZT765ZF330mq70YGrit6nO5UrSc/X3TczlwTkiaRhlfyGvXE0Yt6PtC5kr/JCXyzgs5strx4aLUS/lw7MrE1otfyiInx/AdfynTlZSfPNq9kq37Z+1a4+wrWWnH/DnlCr6Wa3K+21l/4Ws5sb26829kzxW305Xu+UZeDcr+R537b+Su+gtrVyz/Vvpfet+z6ea3Mj5d6wU1Xe/ko4qq0N7JModyvGj44Z3Mom/gezmy58c8rY++lx03tWlQL9cHWePdvRGVZ32Q+W724CfzUc4elYcr8aP8Vfjttj9ef5StX67qmanhJ3luduv8v85+kn/qB/1Zzol5sPHK+s8yYfV/XfaFfJFt+WorJn2R59Nkejsp4Yvc+HXNgnndv8qJ45rdPvLqq+yzsWXOpc2/yftNw96Mv/JNrvypfsF32YirP6zjd3k49etW/Vd+l/xwIjve+i5/REwokybxu/QbOdt1L0uUvD3/QJdHFaNkvZqXi0d3ipJzSqeKGDstSj7hKpm+LUryTXs44XqUbDq+1L2zX6Jk9VObb7mnj5alfzvXy+eNljcyb620u3K03FJ+nO/wDtHmfo6Jlh3HFd/guypall+fYUDkiWgpLr6Ra55Fy7K1bs5q8TtahqgXLmJk7Cx1Y2Lkjd1N4w42i5Fb7xbmJxcjGYqBfRfHyFM3krdHHI2RSRujbkW8jJHFx7yJi/CIlb1bPAyplT9Wflrw/GTZurEyR787r8sOipWtwi94lFscKyMnXN+R70SsDGh7+na+N7EyovT+H/m84+SQDzkLe+aPk+30heLkjNfRmW/1jpO3ahRrPnVunHTtHDivysE4GbRndbj/0zjZTN3W1D/AyQ9ZWBV2gx+y2/zq/IR/yDXqMW38IZ/OmcBP5Ie8W2DOta3JP2TGP3ct/ZYrXqa9cPRthXrxUp57vHfssHg55Ezi2HPr4uWuU2ENPG/Gy89MZY3EeJnzeJPoKX/8lK2P/nPyau2fslGTMd5Zh/6UnjGVkq2VP+VBpiXowk/ZLfeFl37ffsqHavkL+iUnJ5SsEFrul8zhXv/5P51+yQ7qhc/+JdfmcXXOfOyXfFN2UN6YD79knayVMoeGJMhB+gUlyCUfwlvs6Zkgvywrm//OogT5d4M/k2LOJ8gZXs6VgLgE+fxYxiVFsyXKwgNSutevnSjPTFULV6JUq8qojYmyU/zrtivvJcr9W/iBuSdJz3bnUr0olCSbBu+/6dYqSW66sn5llilJUq0eBQ4kyemLlpyv9SZJPqs9bX4v/2TZ+3IzEVA2WR59FSgudkyWEQqIGcnS/69u/ZzDydL3w/7t7u+SpV7W/X/L03G5W8yo8FvyTTrepN9v8/pW/ZaZGvqkJN38LQfowkyRF08E/lz6V4p8dKf+saG9U2Rv/zEnLq1MkZV3n63mdSdF9hg8dG1+dzc6QKNfng9xI1Gqc6WuBd3oBVdRShU3WhPu3+q/Vm7U+e67bvkGuVFe9UCmudHGi0M+N1jnRrqMj7nR2pefT3d+4EaH+3ZsXyrKjQI7RE2M90pFV9b07348WypS1TWhTCoKyVk/7ep6qchLLeDdUpGup9GpaOO/2efeXJyKGhVt0urZnlTUdsjw2y+upaJLGdQKnIqu/T1sfMtUqWlSvGo8qekN3+1iBVPTirCCT3JUSU1JY8/lTN8yNQXeqPTg+wD+ua27i12alpoUFlvWpaab+yZsGnc8NXFT6NXiYWpKt+7EtytRqalz17lWER93Muu3O4V57xp8pow76fqt7056ne3mTvp+j3anCrr9udPJSysr79vtTi/edk6mK+5kF/GJvPnGnXQfTXGnokOb3/sYkoZ6nv29639F0pB+HDXTEH0tHjy7Uxp6cPnisuBRaUivV4vTkOeEqK3Z9qWhFR14obiRhrZ02nHk2Ic0dJBXo7up09LZbukuf7LS0hOm5kbRtFS/9q+PR8PT0j21PLRLS/vb/fuw3JC09Fflqv1+zUhLh3Nl8tm7Li3pvnY0LTll/vtV7E5aUtX762NaGl2LB4hU6ShN4Vcj+4Sko1drF5/JUigdnWxV68eRaulIt6226cg+t3/yg6Hp6OepDpvazE1Hg/paGZ5vTUf1el3I3+V8OirQfWDN78/TkV52E9ORT9aECycCPajH66uxfxTwIN3Xq3jQiRJxc7e38qCPzzw7xg7yoISm0rfodA/yVAvfOg9aFni737QjHqTr+5YHZei7Zcqj9x7ElC5IneJBw66OW5PH5Um6/+TzJEXNGPKkLbz6HmjgSfxmh5zv6mnqcYQn6WVhjidxs9jxYqMn6fXpmCdtnc5A3/Yk3VfeeZr3l+BJ+vZn9KJoe82hOdm8aNm39efCS3rhuXkRv/qnh9t4kZ6rBnjRHNe9FRUmetHpbW4H7y/xovl7S+ccvMOLuh0ZMCfkjJeiacHhe170q5Ff884fvMhveIc23klepKaZrRm9aXlwqtxNs3rTfp6Skop607X264ssr+JN6mUHNPMmPQ/08abN7Ud7xIz1Jpe6PQu9qc3ioZcab8fXz3hTfL7JlaZHetP4gM2h+b95k+HeB5z40NK1dflJ+dCPfrveVSYf8/7r+1C6FnxHOvuQWl6vD/WhoMrZqkZM9yE1Bd1e6UOfF2f8x3OfD4WP2Pk6+LIP8dDAC5oP+Tb5a8+FHz6kVttuGdLTsLIeG7/mSE9ZM8f2aFQuPXXhqWxvw/SUYd79kqJXeuLhjMlNT2X6XJt4a1l6ejaPb9SB9JS997qCfW+mpwN3uEF8SU+zuL0W8MpA3Z72nTw9Rwaq0D5g/FeZgfSY2zwD8dWHbxuUgfR8MScDbb5+t9Hn7RnI9PkM1LZIw0J5P2SgwW9//q+sR0ZSU1vjPzKSwjmxUkbKG9M194V2GSlctbWRGUnPh0sz0owC1Qc3PJSRduZjMu9npNu5S3YIis1IcX8UiPzhm4lCnuVt9yl/JlJlUjo8E3G1t1nWJRP9wdNOqvH837nO7mmxOhNVO1K7S49TmSisbqQ17EUmc7/dfKmleqN+vhTDU7nI5ktN1YMr6kvfRi9eHlfRl9QY0bOBL5l5wZf0fDzAl5iuqvPH+tJxtazP9SWXHhh8KWEEV9huX9p+cGaxtad8Sa1ekTd96SFPSSuf+9JX389vOnzzpaLLx4/O/9uX/vmTn0x6PzpymD8sP3KrwZ00rx/dydcx9GUpPxpTsOY67yp+lCY9P4n6frRqRvqao1r7UZ/Sj7M+6O5Hul8N9qPHXdx6jxrrR0M/N3h7e6YfrT8tRh9dwtdZ9Fas3+BHqfrxK9rjRwX5dg494UctspSPan/Fz9ThA/65gdwZXvmRWrZ8vvpRM37c1X/60dwtO9K5UvuTmff9qTHj0jXQn+pWUR3RnyyeCqrm9KfKqmEW8Ce17FQt6U9d9eDpbziu6k96bqntT8ouHjX2p/G8WnRu7U+j+1eZ+6OTP9VWhdTLn8I/pinmN8ifroWqB+VP2dTHaH9apzCZ6I91yZ+GK4GZ60/Gk/yp4ckNa2qt8KcH32NrNF3nTzykzm69xZ925OYOvcvfrKMH/GlCm4K5/nfM39yvM/w6vv7b8+NFf8PtdX+zPt7xJ7Vc5Ynkr6sLPfM3dfqav16SV9qP/qTnnm/8dbaeEnH+tOfCoGPLE/jrvDx7ugVQxU7lyxxKE2DWF68A2laVxSBjAM1R47N/AGl/CQ6goSU2/93YCiB9uzIHUIa8Y99nzx5A/C4zeuYKMP0tbwDddlcFEEBpPx56cqBIABkvCaAFT7gRlg6gS6crbO36dwDpubNCABWYueJn4SoBNGPppWFhNQJI60VEAGWftTrnu7r839xd45sEmNfbJoDyq0LpzNcpcmZngV4BpOxHDgwgj+9B1eoMCzD1MSaA9Ng6OYDUy5swi9/XrJK35y8IoGHBj5O2LA+gsRlqb5+7NoC6cztcvC2ACqaus+vUoQCKTb4z+MO5AHqf5e7SwNsBtMVu1qHMM7y+j3xd1QBjA6jR8s1bH6QE0F9ZeOX3DqRvAWGLCwUGktYuEUgtEl2Vs+UKJH/zDbMelw6kEfcynZlaMZD0WBMRSHpsaRRINx8owQqkCVdGDxrQNZDKnRgZ/qVfIMXsHpGl07BA2rR+WNzTcYGk7LTFjECqsi8m+c6CQHMfVwUST8Xrz20ONPdjbyBlHvep7oFjgZRGDQIXAunwnHbNtt0MpL6qsB4FUq7/tUqz4nUgqSkm5GsgzeVvz4oPJIW1dyqX4dvbRW87XJ/iFugy/V+4SPtMThdpHy3kouNFzz979ZfLrF8VXaT3AWq6yK8EG3gjF53PU3r25dYuGqEHQhcVU9/o5yKFT4lhLtJeNc5FjT8XPJxrhotUG1izwGXWuVUu0l622UXa6/a6qDJP7VOPuSjxeyiP3C7irhI+4qaLujxwZYmPdJGasnu/dtH1rcmTs0W56N8Z77LcTXZRob48uXkH0fN6h2uWDg6iWcV40sweROWDZgxeXiiItA+VC6L+armtEUQ8RT7a1SjI1FP7IBrXWD3ZICr+l6qEIHobpjYygmheUruLBecFUdWnNfklBpGibO72INrAU3rVI0Gk9xMuBBEPVU023A2iyZnbf232MogSW/BEFx1E3Rf9s2SVezA9vj+qf5XAYIpwTa3xMUcw6e2L4sGk7HhqjWBK9TS11+TWwaQwbN43mMrxVJ17TLCpx7nBtOHToFeX1gXT0wO7Ci85EGzm0DPBdLMqT6jXgyk8U6Hn9R4Fk9LXN2+D6e9lYxr8Ex1MBzpyJ/8dTIX/vH9hsVcIbY51cy/gCqE/juQtdyJLCBkfDKEP2VmESoYQN7Fp/SqG0ONdjc6nqR1CenuiWQhdL7+pTJ5OIVTdS92xEHM/h4dQ2QW5Pj6bGEL7WtfN0W9uCBXUhReC5xpC2fddu5V7fwj1VAPvqRAzP1wLoZncPp49DCF9uTchNIbbnHtUCF0tw6KbFEJVeZXP4Rlq5ueAUOIq+7da5lDaw7obmTeUVLvqUSKU1r+vViClfChlVRslEaGkbnf2pqEUqMSxQyhNZ/2r1ieUPNRC/r9QGvVfxSk9JoSa5zM71NTbslA6fqbyI2dTqNmu2RtKeh/jZKip9yuh8JZQyrwp6PevV6G0sC//6LdQClGDT3wozc/BN9QtjKr8MTD1Is8wUuN8tG8YVVaNIDSM1Gq2OmsYVZrS411injA6zWNygyJh1I81aGfpMIr6W+1chVFfNUiEh9H3KB4w64eR9r0WYfRNbV90CKNeaoHpEUZCFf7AMMPt8DDjFePCSO9zTQ8z6868MDPnLgsjvc2zPowuLDg8b+b2MOLpP9OH/WF0PrzkpPIn8LovhJl55kYYaX19GEaxalvlRZjh5mMYaY+MDqNdapvtRxit2PZoWr7EMNOfUsLM/XG36GmuYiXaelp09Qp/pLeIq55XBIv0NoPLotJq4yjMItXmezmW8ZdslpnLclnUecos/w35LMrptb1GpkIWqbczqJhleOB027dx/bDiFqndxRRO/X5LWLSBl9G0JS0qrsSSU2+7lLKoTkVeCTifRG7nTmxRN3UhTr0/WdqicWr7i1N7dBmLlt/gBZvzTx6vcpS16FDK3o3rOavqB22R3q/g1PPT35bxFs4INaBLix51vHVwL2cXtr5SZBkv4ByT34n6u7xFvmpjgJNlyFW5gmXmTs4DanysaJHGhJOv0rpuJYvaMF53OPW8WtkihWUk55i61ZeOrMLXU95fla83Muep8Zz51DZiNb7edvd3UzmD9EBskdKK6ZyFat857lfDomNvK9yay6nn93CL1DK7iLOTEoCaFultFE6tvREWZRwQSes5dZ3VsoyncO5jrSlU26KKt+ZO3s2px4I6FrVSAx+n2W/i56t+MafZ37HMHMJp9gMteIdFZdTlGlikfuwWZ0P9YdErhSFnn7FFhjZvZJHC9ynnlN2ZlrdtbBkeOTWvTSzj15wn/JQQ8vNR28uc/C4yDGhmmb7CGddbXdAitqVKyZy+fLWRLfh+luB30pKfj95YsMx62soy6waneruZWlum/jm/8MtzteHnw792Aafeh2pr0X+T1Qu0zBzZzjJzOade59tbpLdLOfW63oHrndveTk41LhfraJHZ3+Z6f8pi1InrXW1IcaptQurM9a7fMNe72o7pYpF6vJc4n6jH1pXr3V29E4v0be5mkXq39zi1J3fnem+rfrNl5tUeXO/88l5yVlW/tqdF6nLvOdupH+tl0bev/MGpdlv69bbIWzdmy/htH4v0Pj6n7t99LZL6By1SPzWWU/tNf4vecflN5hygH4hl/IBT76cNtMjmxzuPUz220EGWmTc5z/BtzvKPRer2rebUvjjYoh78djdyqreRfwjX5dhhN3Zz6m3ioVyXar+UU/1Yqf9Zxnc4q2sBtYif2vOTnB1UIQy3KEqNIZwajxEWpVc/yLlQlfO/vD6pgubco8pvpEV635ZTl8soi1QZPOf8oB7vaIv0PiKnfhxjLDOncOrbN9aCx1v0l3q74yzS+9ycxo8ts9/G2UtdboJl5qSJFk2aqD7A+SRwPgmcTwbnk8H5FHA+BZxPBedTwfk0cD4NnE8H59PB+QxwPgOczwTnM8H5LHA+C5zPBuezwfkccD4HnM8F53PB+X/g/D9wPg+czwPn88H5fHC+AJwvAOcLwflCcL4InC8C54vB+WJwvgScLwXnS8H5MnC+DJwvB+fLwfkKcL4CnK8E5yvB+Spwvgqcrwbnq8H5GnC+BpyvBedrwfk6cL4OnK8H5+vB+QZwvgGcbwTnG8H5JnC+CZxvBuebwfkWrku1Xcyp92m2WpTm3dTcXzhnjUgs3Wcb12VQt4gYzi1bH7QetN0y+4acelt+h0UNBuSYn8L5wmfOxtE7uS5XpzqSdhfXZek+1yZyTrr19LnPbq5Lvsx0TvVt/z0W6fMAzmOF+JO9mAs49f78Pq5LtU/OGTO9/oAc+y0axW1t/X5wfoDrsiELGmeeLxmOFToIzg+C80MWqWrZy6nPNQ6D88Pg/IhF6fx5QjwCzo+C86Pg/Bg4PwbOj4Pz4+D8BDg/Ac5PgvOT4PwUOD8Fzk+D89Pg/Aw4PwPOz4Lzs+D8HDg/B87Pg/ML4PwCOL8Izi+C80vg/BI4vwzOL4PzK+D8Cji/Cs6vgvNr4PwaOL8Ozq+D8xvg/AY4vwnOb4LzW+D8Fji/Dc5vg/M74PwOOL8Lzu+C83vg/B44vw/O74PzB+D8ATh/CM4fgvNIcB4Jzh+B80fg/DE4fwLOn4Dzp+D8KTh/Bs459THyc4s2jeZBi7Nk2InmWV5YZp7nrMfjV86XXJfPGQBOfU7yivsPT9fbOSesb3ypyGvL+AjnynvFvpV6Y1FBBQon0xAo33JdqsGN8z5/u/I7rssrLcMvcEa150/eW/SvAoozPWNW9wPXpTon5szFWDT+aBkv4lS7aS0/gfNP4PwzOP8Mzr+gn39BP/+Kfv4V/fwb+vk39PPv6Off0c+j0M+j0c+j0c9j0M9j0M9j0c9j0c/j0M/j0M9/oJ//QD+PRz+PB+c/0c9/op//ski9vO2cgeoBJ4DzBPTzRHCeCM6T0M+TwHkyOE8G57/B+W9wngLOU8C5m2045zTnSrbhnFNznto2nHNqzt1twzmn5jyNbTjn1JyntQ3nnJrzdLbhnFNz7mEbzj1twzmn5tzLNpxzas69bcM5p+bcxzacc2rO09uGc07NeQbbcM6pOc9o43zBNpxnsg3nnJpzX9twzqk597MN55yac38b+4c2qXKKCLDNeROnWubrB9qkjzk5x/Gy3NRlk1puH3OqbbXWQTbpc3vOQ5GTkzsG28ZHOe96dcnWI8SmdgoUTqahar9Qm4arwY3Tm789OMym+SkzRyRy5lCfWDbtYhxT2Tbp82JOhY+HsKkZYzGZU7W1DI5Nql3N5EytwMtsG845dT/PYhvOOTXnWW3Tzzl1P89mm37Oqft5dtv0c05zLmibfs6p+/kftunnnLqf57RNP+fU/TyXbfo5p+7nuW3Tzzl1P89jm37Oac7RbdPPOc35lm0459Sc57fN3M6p5/Y/bcM5p+a8gG0459ScF7QN55ya80K24ZxTc17YNpwXsQ3nnOZcwjacc+qyKmYbzjk158Vtwzmn5ryEjX1i23Be0jacc2rOS9mGc079Nv6yDeecmvPStuGcU/9YGdtwzqk5L2sbzjk15+Vswzmn5vxv23DOqTmXtuGcU3NO4JzAeXlwXh6cVwDnFcB5RXBeEZxXAueVwHllcM5p/NyGn4PzquC8GjivBs6rg/Pq4LwGOK8BzsPBeTg4rwnOa4LzCHAeAc5rgfNa4Lw2OK8NzuuA8zrgvC44rwvO64FzTuPnNvzchp/b8HMbfm7Dz234uQ0/t+HnNvzchp/b8HMbfm7Dz234uQ0/t+HnNvzchp/b8HMbfm7Dz234uQ0/B+etwXkbG35uw8/BeVtw3g6ctwPn7cF5e3DeAZx3AOcdwXlHcN4JnHcC553BeWdw3gWcdwHnXcF5V3DeDZx3A+fdwXl3cN4DnPcA5z3BeU9w3guc9wLnvcF5b3DeB5z3Aed9wXk/cN4PnPcH5/3B+QBwPgCcDwTnA8H5IHA+CJz/A87/AeeDwflgcD7Ehp/b8HMbfm6buf1/XJc8fp3gVGNVxWG2mds51RhUfTjXpRp4OPW/axxhm/NjTqUTDf+1zTkO5yu+TPORXJf87aecvztyhxrFdZnMn4wC56O5LvPzKxkNzseAc07V1gaMBedjwfk4cD4O/Xw8+vl4cD4BnE8E5xPB+SRwPgmcTwbnk8H5FK5LfvnLp4DzqeB8KjifBs6ngfPp4Hw6OJ8BzmeA85ngfCY4nwXOZ4Hz2eB8NjifA87ngPO54HwuOP8PnP8HzueB83ngfD44nw/OF4DzBeB8IThfCM4XgfNF4HwxOF8MzpeA86XgfCk4XwbOl4Hz5eB8OThfAc5XgPOV4HwlOF8FzleB89XgfDU4XwPO14DzteB8LThfB87XgfP14Hw9ON8AzjeA843gfCM43wTON4HzzeB8MzjfYsPPbfi5DT+34ec2/NyGn9vwcxt+bsPPbfi5DT+34ec2/NyGn9vwcxt+bsPPbfi5DT+34ec2/NyGn3Ndqv/hgA0/t+Hn4PwgOD8Ezg+B88Pg/DA4PwLOj4Dzo+D8KDg/Bs6PgfPj4Pw4OD8Bzk+A85PgnFNti3c5Bc45iyqRO8112Zx/w2lwfsamRzyWxnOqcXPoWa5LHiOTz6Kfn0M/P2+b/XZOvd9+wTb77ZzqMWS6aNNtvr1zONuoB3iJ65Jvx0JO9Tbty+CcU72sbFe4LpVAcu7gy+S+ynWpbiSnPg+/ZlMT9Qmn/ndt17kulWhyuqmCuMF1yWPuMU41vpa/adMG1s8znMXVIH2L65J18dItzO23MbffBud3wPkdcH4XnN8F5/fA+T1wfh+c3wfnD8D5A3D+EJw/BOeR4DwSnD8C54/A+WNw/gScPwHnT8H5U3D+DJxzGj/H3P4cc/sLG35uw89t+LkNP7fh5zb83Iaf2/BzG35uw89t+LkNP7fh5zb83Iaf2/BzG35uw89t+LkNP+c5k8vzOaf+9y+fwflncP4FnH8B51/B+Vdw/g2cfwPn38H5d3AeBc6jwXk0OI8B5zHgPBacx4LzOHAeB85/gPMf4DwenMejn/8E5z/B+S/M7b/AeQLm9gTM7YmY2xMxtyeB8yTM7cmY25Mxt//G3P4bnKdgbk/B3O4m4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4uaAaX3XxOzXkWAT8X8HOBc3VhOM8mDOecmvPswnDOqTnPIQznnJrzP4ThnFNznlMYzjk157mE4ZxTc55bGM45Ned5hOGcU3OeV+DfJwjDeT5hOOfUnOcX8HNhOP9TwM+F4byAgJ8L+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5MJwXF/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPwfnBM7Lg/Py4LwCOK8AziuC84rgvBI4rwTOK4NzTuPnAn4ucH4ucH4ucH4uTD+vLkw/59T9vIYw/ZxT9/NwYfo5p+7nNYXp55y6n0cI0885dT+vJUw/59T9vLYw/ZxT9/M6wvRzTt3P6wrTzzl1P68nTD+vB87rg/P64LwBOG8AzhuC84bgvBE4bwTOG4PzxuC8CThvAs6bgvOm4LwZOG8GzpuD8xbgvAU4bwnOW4LzVuC8FThvDc5bg/M24LwNOG8LztuC83bgvB04bw/O24PzDuC8AzjvCM47gvNO4LwTOO8MzjuD8y7gvAs47wrOu4LzbuC8GzjvDs67g/MewvTzHuC8JzjvCc57CdPPe4Hz3uCcU/fzPuC8DzjvC877gfN+4Lw/OO8PzgeAc07j5+B8IDgfBM4HgfN/wPk/4HwwOB8MzocI+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5MHP7aAE/F2ZuHyPM3M5p/FyYuZ1Tz+3jhJnbx4Hz8eB8AjifAM4ngvOJ4HwSOJ8Eziejn08G51PQz6eA86ngfCo4nwbOp4Hz6eB8Ovr5DPTzGeB8Jvr5THA+C5zPQj+fjX7OafxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM/B+RZwvlXAz8H5NnDOafxcwM/B+Q4BPxfwcwE/F/BzAT8X8HMBPxfwc/TzvQJ+LuDnAn4u4OcCfi7g5wJ+LuDn4PwgOD8Ezg+B88Pg/DA4PwLOj4Dzo+D8KDg/Bs6PgfPj4Pw4OD8Bzk+A85Po5yfRz0+hn59CPz+Nfn4a/fwM+vkZcH4W/fws5vZzmNvPYW4/j7n9Aub2C5jbL2Juv4i5/RI4v4S5/TI4v4y5/Qrm9iuY269ibr+Kuf0a5vZr4Pw6OL+Ouf0GOL+Buf0m5vab4PwWOL8Fzm+D89vg/A44vwPO74Lzu+D8Hji/B87vg/P74PwBOH8Azh+C84fgPBKcR4LzR+D8ETh/DM6fgPMn4PwpOH8Kzp+B82fo58/Rz5+jn79AP3+Bfv4S/fwl+vkr9PNX6Oev0c9fo5+/QT9/g37+Fv38Lfr5O/Tzd+jn79HP36Off0A//4B+/hH9/CP6+Sf080/o55/B+Wdw/gWcfwHnX8H5V3D+DZx/A+ffwfl39PMo9PNo9PNo9PMY9PMY9PNY9PNY9PM49PM49PMf6Oc/0M/j0c/j0c9/op//RD//hbn9F+b2BMztCZjbEzG3J2JuT8LcnoS5PRlzezLm9t+Y239jbk/B3J6Cud3NgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/dwzngY7hnFNz7nIM55ya8yAHfu4YzoMdwzmn5jzEwd+VOobzUMdwzqk5D3MM55yac8sxnHNqzm3HcC4cwzmn5txxDOec+u1mdnB+7uD83DH9nFP386wOzs8dnJ87OD93cH7u4Pzcwfm5g/NzB+fnDs7PHZyfOzg/d3B+7uD83MH5uYPzcwfn5w7Ozx2cnzs4P3dwfu7g/NzB+bkDP3dwfu7Azx2cnzvwcwd+7sDPHfi5Az934OcO/NyBnzvwcwd+7sDPHfi5g/NzB37uwM8d+LkDP3fg5w783IGfO/BzB37uwM8d+LkDP3fg5w783IGfO/BzB37uwM8d+Dnfz4NVntaUDvzcgZ+Dc07996rlwXl5cF4BnHPqv7epCM4rgvNKjvn7UE799yCV+X52f301tjI4rwLOq4DzquC8GjivBs6rg/Pq4LwGOK8BzsPBeTg4rwnOa4LzCHAeAc5rgfNa4Lw2OK8NzuuA8zrgvC44rwvO64FzTnN+7uD8HJw3AOcNwHlDcN4QnDdycH4OzhuD88bgvAk4bwLOm4LzpuC8GThvBs6bg/Pm4LwFOG8JzluC81bgvBU4bw3OW4PzNuC8DThvC87bgvN24LwdOG8PztuD8w7gvAM47wjOO4LzTuCc8/8z9yD+</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>eJzt0qFvwkAYh2HE/pAmqDlATZ6onqqYIAsCM8GSJcvMTCEhs1NkihQDAgNyYrMzCKaWuWaCEMw0bkl//UjumEJgeB/z5u7a67VQqQAATlfs/HHi/p8/dL9wPmzInl/WXavRrdrqq7Wh2pyq9fei6eVC4/OvovnbT9FouyqaTTZa/9XYdbTu+t+6/+JT640PdfSqVudqMlaXQ/8cV8/q2UCdParrJ/WlW16X+s17avZQvue9P87u/O9g382us3mrXW/fL2oH97X99V1N7M/bftGN/172e9i8nXd3jmAc7rv3vHB86P8PAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHBsf+GZSn4=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=103.040 Q3=56.900 sample=4 experiment=1 RT=2.39 ce=-30.00 name=2-hydroxybutyric_acid" defaultArrayLength="2264" 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="13172">
              <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="332">
              <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>eJzt0rFKw0AAh/GOHaTPkEdwlg4Z+giZJUOktUopCIIIUgUXu5cOHVroIJ2Ke1Ho0MXB1U6RQu3gQwj3vxTuktjV4fstH3eXO45wlQoAAI3QbeT1kLLvGuHfY3+fv24FieZbT+poop69qFevpr2Td/Xo0zSubbR+uVW/d6bp2o5XX6ZhdW36Vv/Q/oul1psLtT1Tu1P1Z6ROB+pzX40f1fTBHWf3Dm7cHt/Zccf23O34ung9+2/hqdv9/qT4O3/+4Dneebl72vnhvTq/dc/JvatM5M7v7+UreQ8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAgH/jF/d3SGA=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=104.035 Q3=74.000 sample=4 experiment=1 RT=4.06 ce=-30.00 name=L-serine" defaultArrayLength="2264" 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="13172">
              <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>eJzt0a0RwjAYBuCOwThVPSZAU1OFAInjmKAGiWKRTsIsiCQiKbnGcdw9j3kvv19+ug4AAP7ccuh/fYQmt6H/3h7zPJ5Cnu8hd8+Q71ee+0dcdwk5X0MuU8z0LnHfsn7tXCtjPl7OT3W2/qE2nvrTvuW71Oqt5jfW27wvAAAAAAAAAAAAAAAAAACtPuRfJEo=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=112.054 Q3=68.003 sample=4 experiment=1 RT=1.73 ce=-15.00 name=creatinine" defaultArrayLength="2264" 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="13172">
              <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="392">
              <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>eJzt0jFLw0AUwPEMru6OfgQHF7eMpWMnXRyKgUJBpFQQqZJBsFMpxaEIhWzq6ie4bt0EFwcRRCo4iZ9AhHvvBe4pTm7+f8uf3F0u16RZBuBfCtt5bNmQZlv5r+ttXdlK1/v7631brnZ/29Xmi/Ta9vk4SNeHbrq+6vx8n82HXTdu5zXud/h9/LyN1/v19BxH0vFYOqqknzfS9RBbrt7F5u8Pcr14iX0uXmOr2ZvMXy5jw+aTdOdRxvfuZb/JXNq8lZ5e6bn0uflUOphI186lKxfS66GuO5EuzvT8h+nvyfrSjWMd1/dt3yXsa+092/dpa4v0+tv7a7i6/029r9Z/D//9rfW4ey4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPhTXxL2csg=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=114.056 Q3=114.056 sample=4 experiment=1 RT=3.30 ce=-10.00 name=Proline" defaultArrayLength="2264" 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="13172">
              <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="544">
              <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=4 experiment=1 RT=4.19 ce=-15.00 name=fumaric_acid" defaultArrayLength="2264" 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="13172">
              <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="288">
              <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>eJzt0TFOQzEMANAerSMbI2MHBoY/IFQhVH0hSiUGmJg4B0foyNiR43SoHckuHADx3mIlsS0nWSwAAOCf+HpZlvi9PcX9HOvnU/x8bOcPdf+wi/VTrNeR91r7Z36uLz6i73vN328iXke8ibiKeFvPt5ctb2r5q7affa/qec69WLb73dW5810O97/EvP/889zZd9yzxfHOU63LOUb/tj/utWn1uZ7rnGf1c4vRL/81/33U7dpc7R1G/lTvfZa/bnVvtT73AQAAAAAAAAAAAAAAAAD+gCPhGX04</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=116.047 Q3=73.900 sample=4 experiment=1 RT=3.70 ce=-15.00 name=guanidinoacetic_acid" defaultArrayLength="2264" 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="13172">
              <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>eJzt0T1KxEAYgOHBY3gKiRdI6xHsBEG0WxAEwSKCCIKlQuzWbsXeGwhbbGFh612E/WYCM/jHNjbP07zM7uRLJkkJAID/0m999Otuv6+bdl+jR4toGqOr3PEm+nYRHfajO6fRg7N6Xbq8yvPu8pynaPeY1w/R4+u8vqzntW3vl2Z9dbDyXOX3sn/alzs/qc8x7P3c37T7ytz+sLl+9vXc6Tna64bomN9X9xJd5XbP+f/76PI2Oj+v503nzfct3/GvNn0P3+4r3wkAAAAAAAAAAAAAAAAAADbzCVOqQ40=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=116.072 Q3=116.070 sample=4 experiment=1 RT=3.05 ce=-10.00 name=valine" defaultArrayLength="2264" 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="13172">
              <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="612">
              <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=4 experiment=1 RT=4.03 ce=-10.00 name=5-Amino_pentanoic_acid" defaultArrayLength="2264" 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="13172">
              <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="380">
              <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>eJztz79KglEYx3FpaAmauoAuQJqaIqI2r0DIuTXwCuKdQsgiE6ysQCuzoSUKE4J6FQcr6N9NRC5t0hTB+3vO8LhHy/ezfDnH5xzPm0oBAAAA/6z+sph09kl97qufD+qGdbmbNJqLtZ6w1mz/p+v3+7E/t2Qt2Fz7Xl29Uz9sXbCut9UF+32sp/Mde+fla9L4603r3Lv7jmiyY+etLbvv8Ua9vVJ7F+rgRI2O1PyOOrXv+71l3VbTZfW6ZPcdqnu7fj+so001c+Dni1V1uuLnZ+xdw5o63/T74w01W7dzNrfS8HPFkfnMqdo6V6tN//1rZ+pg5Fz4//yxvyecC+8M9wEAAAAAAAAAAAAAAAAAAAAAAAAAAODP/ALbmW+j</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=117.019 Q3=73.100 sample=4 experiment=1 RT=3.96 ce=-30.00 name=Succinic_acid" defaultArrayLength="2264" 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="13172">
              <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="156">
              <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>eJzt0LEJgEAMAEBHcQRHsHUEays7wQV0C0tHtXgiiPoi2HnXhP+EJP9FAQAAH5uaOp9v8/nX8276xR77PkOdzZfd8Rx947z21/e3ez3kv6qPuMwpVmOK8Z63c07/9lAHAAAAAAAAAAAAAAAAAMBvbXEmGrA=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=117.056 Q3=71.000 sample=4 experiment=1 RT=1.89 ce=-15.00 name=2-hydroxyisovaleric_acid" defaultArrayLength="2264" 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="13172">
              <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>eJzt0jFLw0AYgOEgnQRX3QRREZzU0SndHLvbRUFwUGwVUboYXFqhasVBcKoIpSBKi5NFIQV1cJAKDrq1IKLo6OKk+H13Qo7+AMH3WV7ucsklvXoeAPwBzQU/0nBVG2Si8/6yNrWkraTN/JwzdtYVp9o/x7aZ1SYL2ty+9rUqDSp1aVi61/nsszR18CktpDvjP52Id0s/ar3Sxct+6XBlUJr/GpKuPw1I38/7pLFjXZ+a75G+ZLp0PN0hDcq6j3f9JvUvWjpuPep7jd7peyZutONX2sm6+Z6atnSmjZ1qx460WyXtyaH2tmjW7ZrfZ087sql92I7W34leT+S15Q1tmNM2ArPeOR9vxcybc7TnHs62v95Y07rnbde75233cf9ntvY59n4/Gb3P7vvbmeg+7jwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP/EN8fofWc=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=118.051 Q3=54.900 sample=4 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="2264" 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="13172">
              <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="108">
              <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>eJztzrEJwDAQA0CP9rVHyBpeIKN5NBfhCxchmASc4q4RSI1KAQCAl84auy8sefp7t2ef2duVccz9138AAAAAAAAAAAAAAAAAAOCnBrucCZQ=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=118.051 Q3=74.100 sample=4 experiment=1 RT=3.79 ce=-15.00 name=threonine（离子对正确具有唯一性）" defaultArrayLength="2264" 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="13172">
              <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="380">
              <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>eJzt0j1Lw0Acx/GOTuLoIig4WEdfQdwkLo7SqeCixaHgIAiF1HYoIljd7AsQQRAXcTQOPoCgFRzEqZtbyeAkIuL/lyvcQX0B+v0sX5LcXR4uhQIAAAD+jKQUecflSuS1u6GmK9Gv4935JPbHu/ndhnpWU6tb6uSmOrPtn3fjh10v7/nruX4e+M8fzl/dUZttNT6yJumVNd1/sbY779aFi7H5n1aepqync0Xrbn3aulQct7bWRqzZxIfNy2Yza3T4Zu31e7rf67Put/yQP/ejWrpXz2/Uxby31+po3q9L9fhEXe/4733XUsPvO+w7uiZV1Qn3f7C/QcNxg/1x/0XsrwsAAAAAAAAAAAAAAAAAAAAAAAAAAIB/7xtAhGVt</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=122.025 Q3=78.000 sample=4 experiment=1 RT=2.36 ce=-30.00 name=Nicotinic_acid" defaultArrayLength="2264" 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="13172">
              <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>eJzt0ssJgDAQBUBLC1iCZ3uxNEvzpKCQvEgugjO3bJbsh0wTAL+xzaV53pdyiz/vR+ul+FV/bddN/Z3vpHht3vR+715682r9vpXqxb13zp3+Ucob3SsAAAAAAAAAAAAAAAAAAACfcQAJPySx</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=128.072 Q3=128.072 sample=4 experiment=1 RT=2.95 ce=-30.00 name=pipecolic_acid" defaultArrayLength="2264" 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="13172">
              <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="356">
              <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>eJzt0rFOwlAUxvGGpyiJA4/gI3TxDXS1Ew4skBhjwmJRIjiYEBbCwEDC6OoiC4kEBxkILg48Bg9g0u+eJre2OpKQ/2/5cs8tp+feEgQAAOCwzqK/1/l6yf4iVj268LPVjrz9RVO56SnDifLrNc2k+q711YeyslSeaz9Yvrjfj/w+3aEyefTr/Xv33jt/bpvHzpOtTdk9/CfXz+6hVi9e2/3YnJbfD8rTTnG/svu2vknDf87msnr4rNxNlfs35XalPNmmmQxcXn6qfj13fWbK9di990m5uXVz3xTPa/X8fZSdw/4v2Tr2z5E/16/vCAAAAAAAAAAAAAAAAAAAAAAAAAAAAOCY/QDmNFpq</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=130.051 Q3=83.900 sample=4 experiment=1 RT=3.65 ce=-30.00 name=L-4-hydroxyproline" defaultArrayLength="2264" 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="13172">
              <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="200">
              <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>eJzt0bEJAjEUBuCbxFnSCha2ti6gCDYi6AAOoQPY6EIZxeKJkAfRA22E72t+yP2Xl9wNAwAAvzcto2plUZp+Xb5/79X/tJ7m5zlf6+2T18f2Os/zvY6rdn2+j5xdIus1cnuP3N0iJ+dn/xS5PpRmv7pJ83r3yOfq9Hr/afT3AQAAAAAAAAAAAAAAAACA//AAMTgfxw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=130.062 Q3=88.000 sample=4 experiment=1 RT=3.55 ce=-15.00 name=creatine" defaultArrayLength="2264" 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="13172">
              <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>eJzt0b0rRXEcx/FjubFTd5TJeDZ3POqm+zcYDCYTJYOS2/UYEdeVXOWxlFukIwtluAZllcXoD2AVm/p9vl/1iz/A8H4t787T7/wekgQAAADJ0GUW2rxSv6yz1+rxudp9phZO1M+muniglg/VZF9tW8fs/c4jNd1R7/bU/oZa2YjvT+2qpRUbb109rauPm3EvttVWzcadV/Nlm8eWmq3ZPKbteiZuOhk3q8bf5QvxvNKl+Nr/5/Pw+fp3Xr9/s/p3fV2+fwN2LqV7deQltN74CG1PFAbDsh+6Qot9HaGvz+/heTb3pO+Gb9We3MZrqX5ub3Yefi4+D1+Xz8/X97N/1XgffP98vf7c98uf947a/yv23nh8/asAAAAAAAAAAAAAAAAAAAAAAAAAAADA//ANoFlq5A==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=130.087 Q3=130.086 sample=4 experiment=1 RT=2.72 ce=-10.00 name=isoleucine" defaultArrayLength="2264" 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="13172">
              <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="560">
              <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=130.087 Q3=130.087 sample=4 experiment=1 RT=2.61 ce=-10.00 name=leucine" defaultArrayLength="2264" 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="13172">
              <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>eJzt0c1LVFEYx/EDLsKIEDIkGHG0RUVrFWkzijEEDUULk0g0pE0LkRzRhYvZK+1yEWptW4QwWGMqehM1X0qUIAU3KpLQC/iGC1GJ+/zO5v4Hgt/P5stzzzn3ZcY5AADOmDeDCevOB7U0q/aPqAPD6u6YOvfVmknPaG7U7KbH1ZjflxxV93Pq/JB68FG99ynatlx0/eVnf90/PzkSve+en/vGos+/q2YqJtV8/77zU9HzZYGu96gu9yX63X1+X/m02r5qLYgdW9NTpdXh8fqWmrDu5sLTsMH1jpaw747KO2y+fKXT1ru3Wm1/V/yZNVX8wFr3utrWH+bdsXn4u83BkxePwq6XuKaw8YLa53bfk+Vm25dobLBzK4/vW/NvVVl/vbphLdwusq7mXbA2TRzae8c3/1gTpxv6rsyKNWj/qd8jteR/3wXNyW+a3/r/O7ao8+/X1Nkt3Tf7T/srdX+X3reu//2t9Wt6XnBRz3OTy5p7f+jcVX/9tt7DxTUnLvn1Mu0HAAAAAAAAAAAAAAAAAAAAAAAAAAAAgPPsP/uGkew=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=131.046 Q3=131.046 sample=4 experiment=1 RT=3.99 ce=-10.00 name=asparagine" defaultArrayLength="2264" 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="13172">
              <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>eJzt0L8rxHEcx/FvicVwN0gGwynJZFNK6s7CyiQGShkUFvYb6KYrg0WGMzDddfnRIaQrOTr5cX4dgxLKdaZbdAqpz+u93D/A8nwsz9537z6fz53nAQAAAH8jnD4Pus5YM2fq5KkaUYNXt5rLec1H15r9WVeveKg5duya9t9pL/2suVDQ3PCqefFG+8t2z9SFuqD7vU6d53UfqEO7atQ6Yff5Mjo3auftv7kGuj5cn8bLrpd9au9KVcjtFepdm0ebXGuqW1yL/QHX+eFa146S9gMBn+vsUp1r4sDvOjLwo/ckX/SOd/ufpu1/idk7v0/0u+M5ff75ULlfsv3InhpOqPdJdWRdHdyobKPtja2pX9astdX24ik1t63mt9RV66N9375j77a9nlTl+XOblfe22btCdg4AAAAAAAAAAAAAAAAAAAAAAAAAAAD+3S/Bzn+S</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=131.083 Q3=131.083 sample=4 experiment=1 RT=6.23 ce=-10.00 name=Ornithine" defaultArrayLength="2264" 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="13172">
              <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="584">
              <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=4 experiment=1 RT=4.50 ce=-30.00 name=aspartic_acid" defaultArrayLength="2264" 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="13172">
              <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>eJwtm2VgFckShQMBYkjsxmZ60MUXt0W2C5cQ3N3dbYEHLO4Oi7u7u7u7E9xdYgQi5FV3n/w52SQ7uXemvq76uklt6/2eUbXC5ahnC199i2ohtz1oPai200kuPhmdsO50T1np7in5755+8lD19KnzTRgkCx9reOZe06Ey7/cy/ZPKjZCpDt5vUW3RaJnfOj3pbvrxstHwbfva/TtJVvj7/cMtCVNlyRtd3ZeWmClr6l8wS1pDig6fNGWenFS+zZsb2RbLn17TIkIOLZe9io3cT6NXyeev/qo2MNdaGTx7XYMlwzfISVP2lWvw5xZZ80uRD48jt8scERtLJX7fKVdnP5g0IXa3HDtk1e9pdfbJae6n2g7bfEDOm/biTLd0h2XZo/XmZZ1+VLZ8XMV9sM8JmVIl9+r9HU/KlTu9KsYfPyUr2p9elgg7I3+t6Lz7Y/+zcrFP9fp5r52TeVrMOBWX+4K8fK5Pu+JjLsqeheulHvjkksy0pOiqPSWvyJ3pXBViZ12V9fv+eFH08zWZ8OXTib+y35Dhqx/PbHrjhlzS5GqbIcNvyvhF6oK3ZLU6SSH979+SC9N+eT977G2Zpf3XZhX+viN3RJR7szn+jqRSU3u7dt6VN7M9+jWi2z3ZeOTj7gVy3Jfvu+X7Mf/JfTm44dCRqeY/kF500bt7nYdyYd6Q/+54RcosE0M9xp6OlDv6dZn1Zdgj3OfH8vyhA9PSfX8sm6z1COmz8Yl8P6PRqoftnspeXxoHTrKfyZT765ZF330mq70YGrit6nO5UrSc/X3TczlwTkiaRhlfyGvXE0Yt6PtC5kr/JCXyzgs5strx4aLUS/lw7MrE1otfyiInx/AdfynTlZSfPNq9kq37Z+1a4+wrWWnH/DnlCr6Wa3K+21l/4Ws5sb26829kzxW305Xu+UZeDcr+R537b+Su+gtrVyz/Vvpfet+z6ea3Mj5d6wU1Xe/ko4qq0N7JModyvGj44Z3Mom/gezmy58c8rY++lx03tWlQL9cHWePdvRGVZ32Q+W724CfzUc4elYcr8aP8Vfjttj9ef5StX67qmanhJ3luduv8v85+kn/qB/1Zzol5sPHK+s8yYfV/XfaFfJFt+WorJn2R59Nkejsp4Yvc+HXNgnndv8qJ45rdPvLqq+yzsWXOpc2/yftNw96Mv/JNrvypfsF32YirP6zjd3k49etW/Vd+l/xwIjve+i5/REwokybxu/QbOdt1L0uUvD3/QJdHFaNkvZqXi0d3ipJzSqeKGDstSj7hKpm+LUryTXs44XqUbDq+1L2zX6Jk9VObb7mnj5alfzvXy+eNljcyb620u3K03FJ+nO/wDtHmfo6Jlh3HFd/guypall+fYUDkiWgpLr6Ra55Fy7K1bs5q8TtahqgXLmJk7Cx1Y2Lkjd1N4w42i5Fb7xbmJxcjGYqBfRfHyFM3krdHHI2RSRujbkW8jJHFx7yJi/CIlb1bPAyplT9Wflrw/GTZurEyR787r8sOipWtwi94lFscKyMnXN+R70SsDGh7+na+N7EyovT+H/m84+SQDzkLe+aPk+30heLkjNfRmW/1jpO3ahRrPnVunHTtHDivysE4GbRndbj/0zjZTN3W1D/AyQ9ZWBV2gx+y2/zq/IR/yDXqMW38IZ/OmcBP5Ie8W2DOta3JP2TGP3ct/ZYrXqa9cPRthXrxUp57vHfssHg55Ezi2HPr4uWuU2ENPG/Gy89MZY3EeJnzeJPoKX/8lK2P/nPyau2fslGTMd5Zh/6UnjGVkq2VP+VBpiXowk/ZLfeFl37ffsqHavkL+iUnJ5SsEFrul8zhXv/5P51+yQ7qhc/+JdfmcXXOfOyXfFN2UN6YD79knayVMoeGJMhB+gUlyCUfwlvs6Zkgvywrm//OogT5d4M/k2LOJ8gZXs6VgLgE+fxYxiVFsyXKwgNSutevnSjPTFULV6JUq8qojYmyU/zrtivvJcr9W/iBuSdJz3bnUr0olCSbBu+/6dYqSW66sn5llilJUq0eBQ4kyemLlpyv9SZJPqs9bX4v/2TZ+3IzEVA2WR59FSgudkyWEQqIGcnS/69u/ZzDydL3w/7t7u+SpV7W/X/L03G5W8yo8FvyTTrepN9v8/pW/ZaZGvqkJN38LQfowkyRF08E/lz6V4p8dKf+saG9U2Rv/zEnLq1MkZV3n63mdSdF9hg8dG1+dzc6QKNfng9xI1Gqc6WuBd3oBVdRShU3WhPu3+q/Vm7U+e67bvkGuVFe9UCmudHGi0M+N1jnRrqMj7nR2pefT3d+4EaH+3ZsXyrKjQI7RE2M90pFV9b07348WypS1TWhTCoKyVk/7ep6qchLLeDdUpGup9GpaOO/2efeXJyKGhVt0urZnlTUdsjw2y+upaJLGdQKnIqu/T1sfMtUqWlSvGo8qekN3+1iBVPTirCCT3JUSU1JY8/lTN8yNQXeqPTg+wD+ua27i12alpoUFlvWpaab+yZsGnc8NXFT6NXiYWpKt+7EtytRqalz17lWER93Muu3O4V57xp8pow76fqt7056ne3mTvp+j3anCrr9udPJSysr79vtTi/edk6mK+5kF/GJvPnGnXQfTXGnokOb3/sYkoZ6nv29639F0pB+HDXTEH0tHjy7Uxp6cPnisuBRaUivV4vTkOeEqK3Z9qWhFR14obiRhrZ02nHk2Ic0dJBXo7up09LZbukuf7LS0hOm5kbRtFS/9q+PR8PT0j21PLRLS/vb/fuw3JC09Fflqv1+zUhLh3Nl8tm7Li3pvnY0LTll/vtV7E5aUtX762NaGl2LB4hU6ShN4Vcj+4Sko1drF5/JUigdnWxV68eRaulIt6226cg+t3/yg6Hp6OepDpvazE1Hg/paGZ5vTUf1el3I3+V8OirQfWDN78/TkV52E9ORT9aECycCPajH66uxfxTwIN3Xq3jQiRJxc7e38qCPzzw7xg7yoISm0rfodA/yVAvfOg9aFni737QjHqTr+5YHZei7Zcqj9x7ElC5IneJBw66OW5PH5Um6/+TzJEXNGPKkLbz6HmjgSfxmh5zv6mnqcYQn6WVhjidxs9jxYqMn6fXpmCdtnc5A3/Yk3VfeeZr3l+BJ+vZn9KJoe82hOdm8aNm39efCS3rhuXkRv/qnh9t4kZ6rBnjRHNe9FRUmetHpbW4H7y/xovl7S+ccvMOLuh0ZMCfkjJeiacHhe170q5Ff884fvMhveIc23klepKaZrRm9aXlwqtxNs3rTfp6Skop607X264ssr+JN6mUHNPMmPQ/08abN7Ud7xIz1Jpe6PQu9qc3ioZcab8fXz3hTfL7JlaZHetP4gM2h+b95k+HeB5z40NK1dflJ+dCPfrveVSYf8/7r+1C6FnxHOvuQWl6vD/WhoMrZqkZM9yE1Bd1e6UOfF2f8x3OfD4WP2Pk6+LIP8dDAC5oP+Tb5a8+FHz6kVttuGdLTsLIeG7/mSE9ZM8f2aFQuPXXhqWxvw/SUYd79kqJXeuLhjMlNT2X6XJt4a1l6ejaPb9SB9JS997qCfW+mpwN3uEF8SU+zuL0W8MpA3Z72nTw9Rwaq0D5g/FeZgfSY2zwD8dWHbxuUgfR8MScDbb5+t9Hn7RnI9PkM1LZIw0J5P2SgwW9//q+sR0ZSU1vjPzKSwjmxUkbKG9M194V2GSlctbWRGUnPh0sz0owC1Qc3PJSRduZjMu9npNu5S3YIis1IcX8UiPzhm4lCnuVt9yl/JlJlUjo8E3G1t1nWJRP9wdNOqvH837nO7mmxOhNVO1K7S49TmSisbqQ17EUmc7/dfKmleqN+vhTDU7nI5ktN1YMr6kvfRi9eHlfRl9QY0bOBL5l5wZf0fDzAl5iuqvPH+tJxtazP9SWXHhh8KWEEV9huX9p+cGaxtad8Sa1ekTd96SFPSSuf+9JX389vOnzzpaLLx4/O/9uX/vmTn0x6PzpymD8sP3KrwZ00rx/dydcx9GUpPxpTsOY67yp+lCY9P4n6frRqRvqao1r7UZ/Sj7M+6O5Hul8N9qPHXdx6jxrrR0M/N3h7e6YfrT8tRh9dwtdZ9Fas3+BHqfrxK9rjRwX5dg494UctspSPan/Fz9ThA/65gdwZXvmRWrZ8vvpRM37c1X/60dwtO9K5UvuTmff9qTHj0jXQn+pWUR3RnyyeCqrm9KfKqmEW8Ce17FQt6U9d9eDpbziu6k96bqntT8ouHjX2p/G8WnRu7U+j+1eZ+6OTP9VWhdTLn8I/pinmN8ifroWqB+VP2dTHaH9apzCZ6I91yZ+GK4GZ60/Gk/yp4ckNa2qt8KcH32NrNF3nTzykzm69xZ925OYOvcvfrKMH/GlCm4K5/nfM39yvM/w6vv7b8+NFf8PtdX+zPt7xJ7Vc5Ynkr6sLPfM3dfqav16SV9qP/qTnnm/8dbaeEnH+tOfCoGPLE/jrvDx7ugVQxU7lyxxKE2DWF68A2laVxSBjAM1R47N/AGl/CQ6goSU2/93YCiB9uzIHUIa8Y99nzx5A/C4zeuYKMP0tbwDddlcFEEBpPx56cqBIABkvCaAFT7gRlg6gS6crbO36dwDpubNCABWYueJn4SoBNGPppWFhNQJI60VEAGWftTrnu7r839xd45sEmNfbJoDyq0LpzNcpcmZngV4BpOxHDgwgj+9B1eoMCzD1MSaA9Ng6OYDUy5swi9/XrJK35y8IoGHBj5O2LA+gsRlqb5+7NoC6cztcvC2ACqaus+vUoQCKTb4z+MO5AHqf5e7SwNsBtMVu1qHMM7y+j3xd1QBjA6jR8s1bH6QE0F9ZeOX3DqRvAWGLCwUGktYuEUgtEl2Vs+UKJH/zDbMelw6kEfcynZlaMZD0WBMRSHpsaRRINx8owQqkCVdGDxrQNZDKnRgZ/qVfIMXsHpGl07BA2rR+WNzTcYGk7LTFjECqsi8m+c6CQHMfVwUST8Xrz20ONPdjbyBlHvep7oFjgZRGDQIXAunwnHbNtt0MpL6qsB4FUq7/tUqz4nUgqSkm5GsgzeVvz4oPJIW1dyqX4dvbRW87XJ/iFugy/V+4SPtMThdpHy3kouNFzz979ZfLrF8VXaT3AWq6yK8EG3gjF53PU3r25dYuGqEHQhcVU9/o5yKFT4lhLtJeNc5FjT8XPJxrhotUG1izwGXWuVUu0l622UXa6/a6qDJP7VOPuSjxeyiP3C7irhI+4qaLujxwZYmPdJGasnu/dtH1rcmTs0W56N8Z77LcTXZRob48uXkH0fN6h2uWDg6iWcV40sweROWDZgxeXiiItA+VC6L+armtEUQ8RT7a1SjI1FP7IBrXWD3ZICr+l6qEIHobpjYygmheUruLBecFUdWnNfklBpGibO72INrAU3rVI0Gk9xMuBBEPVU023A2iyZnbf232MogSW/BEFx1E3Rf9s2SVezA9vj+qf5XAYIpwTa3xMUcw6e2L4sGk7HhqjWBK9TS11+TWwaQwbN43mMrxVJ17TLCpx7nBtOHToFeX1gXT0wO7Ci85EGzm0DPBdLMqT6jXgyk8U6Hn9R4Fk9LXN2+D6e9lYxr8Ex1MBzpyJ/8dTIX/vH9hsVcIbY51cy/gCqE/juQtdyJLCBkfDKEP2VmESoYQN7Fp/SqG0ONdjc6nqR1CenuiWQhdL7+pTJ5OIVTdS92xEHM/h4dQ2QW5Pj6bGEL7WtfN0W9uCBXUhReC5xpC2fddu5V7fwj1VAPvqRAzP1wLoZncPp49DCF9uTchNIbbnHtUCF0tw6KbFEJVeZXP4Rlq5ueAUOIq+7da5lDaw7obmTeUVLvqUSKU1r+vViClfChlVRslEaGkbnf2pqEUqMSxQyhNZ/2r1ieUPNRC/r9QGvVfxSk9JoSa5zM71NTbslA6fqbyI2dTqNmu2RtKeh/jZKip9yuh8JZQyrwp6PevV6G0sC//6LdQClGDT3wozc/BN9QtjKr8MTD1Is8wUuN8tG8YVVaNIDSM1Gq2OmsYVZrS411injA6zWNygyJh1I81aGfpMIr6W+1chVFfNUiEh9H3KB4w64eR9r0WYfRNbV90CKNeaoHpEUZCFf7AMMPt8DDjFePCSO9zTQ8z6868MDPnLgsjvc2zPowuLDg8b+b2MOLpP9OH/WF0PrzkpPIn8LovhJl55kYYaX19GEaxalvlRZjh5mMYaY+MDqNdapvtRxit2PZoWr7EMNOfUsLM/XG36GmuYiXaelp09Qp/pLeIq55XBIv0NoPLotJq4yjMItXmezmW8ZdslpnLclnUecos/w35LMrptb1GpkIWqbczqJhleOB027dx/bDiFqndxRRO/X5LWLSBl9G0JS0qrsSSU2+7lLKoTkVeCTifRG7nTmxRN3UhTr0/WdqicWr7i1N7dBmLlt/gBZvzTx6vcpS16FDK3o3rOavqB22R3q/g1PPT35bxFs4INaBLix51vHVwL2cXtr5SZBkv4ByT34n6u7xFvmpjgJNlyFW5gmXmTs4DanysaJHGhJOv0rpuJYvaMF53OPW8WtkihWUk55i61ZeOrMLXU95fla83Muep8Zz51DZiNb7edvd3UzmD9EBskdKK6ZyFat857lfDomNvK9yay6nn93CL1DK7iLOTEoCaFultFE6tvREWZRwQSes5dZ3VsoyncO5jrSlU26KKt+ZO3s2px4I6FrVSAx+n2W/i56t+MafZ37HMHMJp9gMteIdFZdTlGlikfuwWZ0P9YdErhSFnn7FFhjZvZJHC9ynnlN2ZlrdtbBkeOTWvTSzj15wn/JQQ8vNR28uc/C4yDGhmmb7CGddbXdAitqVKyZy+fLWRLfh+luB30pKfj95YsMx62soy6waneruZWlum/jm/8MtzteHnw792Aafeh2pr0X+T1Qu0zBzZzjJzOade59tbpLdLOfW63oHrndveTk41LhfraJHZ3+Z6f8pi1InrXW1IcaptQurM9a7fMNe72o7pYpF6vJc4n6jH1pXr3V29E4v0be5mkXq39zi1J3fnem+rfrNl5tUeXO/88l5yVlW/tqdF6nLvOdupH+tl0bev/MGpdlv69bbIWzdmy/htH4v0Pj6n7t99LZL6By1SPzWWU/tNf4vecflN5hygH4hl/IBT76cNtMjmxzuPUz220EGWmTc5z/BtzvKPRer2rebUvjjYoh78djdyqreRfwjX5dhhN3Zz6m3ioVyXar+UU/1Yqf9Zxnc4q2sBtYif2vOTnB1UIQy3KEqNIZwajxEWpVc/yLlQlfO/vD6pgubco8pvpEV635ZTl8soi1QZPOf8oB7vaIv0PiKnfhxjLDOncOrbN9aCx1v0l3q74yzS+9ycxo8ts9/G2UtdboJl5qSJFk2aqD7A+SRwPgmcTwbnk8H5FHA+BZxPBedTwfk0cD4NnE8H59PB+QxwPgOczwTnM8H5LHA+C5zPBuezwfkccD4HnM8F53PB+X/g/D9wPg+czwPn88H5fHC+AJwvAOcLwflCcL4InC8C54vB+WJwvgScLwXnS8H5MnC+DJwvB+fLwfkKcL4CnK8E5yvB+Spwvgqcrwbnq8H5GnC+BpyvBedrwfk6cL4OnK8H5+vB+QZwvgGcbwTnG8H5JnC+CZxvBuebwfkWrku1Xcyp92m2WpTm3dTcXzhnjUgs3Wcb12VQt4gYzi1bH7QetN0y+4acelt+h0UNBuSYn8L5wmfOxtE7uS5XpzqSdhfXZek+1yZyTrr19LnPbq5Lvsx0TvVt/z0W6fMAzmOF+JO9mAs49f78Pq5LtU/OGTO9/oAc+y0axW1t/X5wfoDrsiELGmeeLxmOFToIzg+C80MWqWrZy6nPNQ6D88Pg/IhF6fx5QjwCzo+C86Pg/Bg4PwbOj4Pz4+D8BDg/Ac5PgvOT4PwUOD8Fzk+D89Pg/Aw4PwPOz4Lzs+D8HDg/B87Pg/ML4PwCOL8Izi+C80vg/BI4vwzOL4PzK+D8Cji/Cs6vgvNr4PwaOL8Ozq+D8xvg/AY4vwnOb4LzW+D8Fji/Dc5vg/M74PwOOL8Lzu+C83vg/B44vw/O74PzB+D8ATh/CM4fgvNIcB4Jzh+B80fg/DE4fwLOn4Dzp+D8KTh/Bs459THyc4s2jeZBi7Nk2InmWV5YZp7nrMfjV86XXJfPGQBOfU7yivsPT9fbOSesb3ypyGvL+AjnynvFvpV6Y1FBBQon0xAo33JdqsGN8z5/u/I7rssrLcMvcEa150/eW/SvAoozPWNW9wPXpTon5szFWDT+aBkv4lS7aS0/gfNP4PwzOP8Mzr+gn39BP/+Kfv4V/fwb+vk39PPv6Off0c+j0M+j0c+j0c9j0M9j0M9j0c9j0c/j0M/j0M9/oJ//QD+PRz+PB+c/0c9/op//ski9vO2cgeoBJ4DzBPTzRHCeCM6T0M+TwHkyOE8G57/B+W9wngLOU8C5m2045zTnSrbhnFNznto2nHNqzt1twzmn5jyNbTjn1JyntQ3nnJrzdLbhnFNz7mEbzj1twzmn5tzLNpxzas69bcM5p+bcxzacc2rO09uGc07NeQbbcM6pOc9o43zBNpxnsg3nnJpzX9twzqk597MN55yac38b+4c2qXKKCLDNeROnWubrB9qkjzk5x/Gy3NRlk1puH3OqbbXWQTbpc3vOQ5GTkzsG28ZHOe96dcnWI8SmdgoUTqahar9Qm4arwY3Tm789OMym+SkzRyRy5lCfWDbtYhxT2Tbp82JOhY+HsKkZYzGZU7W1DI5Nql3N5EytwMtsG845dT/PYhvOOTXnWW3Tzzl1P89mm37Oqft5dtv0c05zLmibfs6p+/kftunnnLqf57RNP+fU/TyXbfo5p+7nuW3Tzzl1P89jm37Oac7RbdPPOc35lm0459Sc57fN3M6p5/Y/bcM5p+a8gG0459ScF7QN55ya80K24ZxTc17YNpwXsQ3nnOZcwjacc+qyKmYbzjk158Vtwzmn5ryEjX1i23Be0jacc2rOS9mGc079Nv6yDeecmvPStuGcU/9YGdtwzqk5L2sbzjk15+Vswzmn5vxv23DOqTmXtuGcU3NO4JzAeXlwXh6cVwDnFcB5RXBeEZxXAueVwHllcM5p/NyGn4PzquC8GjivBs6rg/Pq4LwGOK8BzsPBeTg4rwnOa4LzCHAeAc5rgfNa4Lw2OK8NzuuA8zrgvC44rwvO64FzTuPnNvzchp/b8HMbfm7Dz234uQ0/t+HnNvzchp/b8HMbfm7Dz234uQ0/t+HnNvzchp/b8HMbfm7Dz234uQ0/B+etwXkbG35uw8/BeVtw3g6ctwPn7cF5e3DeAZx3AOcdwXlHcN4JnHcC553BeWdw3gWcdwHnXcF5V3DeDZx3A+fdwXl3cN4DnPcA5z3BeU9w3guc9wLnvcF5b3DeB5z3Aed9wXk/cN4PnPcH5/3B+QBwPgCcDwTnA8H5IHA+CJz/A87/AeeDwflgcD7Ehp/b8HMbfm6buf1/XJc8fp3gVGNVxWG2mds51RhUfTjXpRp4OPW/axxhm/NjTqUTDf+1zTkO5yu+TPORXJf87aecvztyhxrFdZnMn4wC56O5LvPzKxkNzseAc07V1gaMBedjwfk4cD4O/Xw8+vl4cD4BnE8E5xPB+SRwPgmcTwbnk8H5FK5LfvnLp4DzqeB8KjifBs6ngfPp4Hw6OJ8BzmeA85ngfCY4nwXOZ4Hz2eB8NjifA87ngPO54HwuOP8PnP8HzueB83ngfD44nw/OF4DzBeB8IThfCM4XgfNF4HwxOF8MzpeA86XgfCk4XwbOl4Hz5eB8OThfAc5XgPOV4HwlOF8FzleB89XgfDU4XwPO14DzteB8LThfB87XgfP14Hw9ON8AzjeA843gfCM43wTON4HzzeB8MzjfYsPPbfi5DT+34ec2/NyGn9vwcxt+bsPPbfi5DT+34ec2/NyGn9vwcxt+bsPPbfi5DT+34ec2/NyGn3Ndqv/hgA0/t+Hn4PwgOD8Ezg+B88Pg/DA4PwLOj4Dzo+D8KDg/Bs6PgfPj4Pw4OD8Bzk+A85PgnFNti3c5Bc45iyqRO8112Zx/w2lwfsamRzyWxnOqcXPoWa5LHiOTz6Kfn0M/P2+b/XZOvd9+wTb77ZzqMWS6aNNtvr1zONuoB3iJ65Jvx0JO9Tbty+CcU72sbFe4LpVAcu7gy+S+ynWpbiSnPg+/ZlMT9Qmn/ndt17kulWhyuqmCuMF1yWPuMU41vpa/adMG1s8znMXVIH2L65J18dItzO23MbffBud3wPkdcH4XnN8F5/fA+T1wfh+c3wfnD8D5A3D+EJw/BOeR4DwSnD8C54/A+WNw/gScPwHnT8H5U3D+DJxzGj/H3P4cc/sLG35uw89t+LkNP7fh5zb83Iaf2/BzG35uw89t+LkNP7fh5zb83Iaf2/BzG35uw89t+LkNP+c5k8vzOaf+9y+fwflncP4FnH8B51/B+Vdw/g2cfwPn38H5d3AeBc6jwXk0OI8B5zHgPBacx4LzOHAeB85/gPMf4DwenMejn/8E5z/B+S/M7b/AeQLm9gTM7YmY2xMxtyeB8yTM7cmY25Mxt//G3P4bnKdgbk/B3O4m4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4uaAaX3XxOzXkWAT8X8HOBc3VhOM8mDOecmvPswnDOqTnPIQznnJrzP4ThnFNznlMYzjk157mE4ZxTc55bGM45Ned5hOGcU3OeV+DfJwjDeT5hOOfUnOcX8HNhOP9TwM+F4byAgJ8L+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5MJwXF/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPwfnBM7Lg/Py4LwCOK8AziuC84rgvBI4rwTOK4NzTuPnAn4ucH4ucH4ucH4uTD+vLkw/59T9vIYw/ZxT9/NwYfo5p+7nNYXp55y6n0cI0885dT+vJUw/59T9vLYw/ZxT9/M6wvRzTt3P6wrTzzl1P68nTD+vB87rg/P64LwBOG8AzhuC84bgvBE4bwTOG4PzxuC8CThvAs6bgvOm4LwZOG8GzpuD8xbgvAU4bwnOW4LzVuC8FThvDc5bg/M24LwNOG8LztuC83bgvB04bw/O24PzDuC8AzjvCM47gvNO4LwTOO8MzjuD8y7gvAs47wrOu4LzbuC8GzjvDs67g/MewvTzHuC8JzjvCc57CdPPe4Hz3uCcU/fzPuC8DzjvC877gfN+4Lw/OO8PzgeAc07j5+B8IDgfBM4HgfN/wPk/4HwwOB8MzocI+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5MHP7aAE/F2ZuHyPM3M5p/FyYuZ1Tz+3jhJnbx4Hz8eB8AjifAM4ngvOJ4HwSOJ8Eziejn08G51PQz6eA86ngfCo4nwbOp4Hz6eB8Ovr5DPTzGeB8Jvr5THA+C5zPQj+fjX7OafxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM/B+RZwvlXAz8H5NnDOafxcwM/B+Q4BPxfwcwE/F/BzAT8X8HMBPxfwc/TzvQJ+LuDnAn4u4OcCfi7g5wJ+LuDn4PwgOD8Ezg+B88Pg/DA4PwLOj4Dzo+D8KDg/Bs6PgfPj4Pw4OD8Bzk+A85Po5yfRz0+hn59CPz+Nfn4a/fwM+vkZcH4W/fws5vZzmNvPYW4/j7n9Aub2C5jbL2Juv4i5/RI4v4S5/TI4v4y5/Qrm9iuY269ibr+Kuf0a5vZr4Pw6OL+Ouf0GOL+Buf0m5vab4PwWOL8Fzm+D89vg/A44vwPO74Lzu+D8Hji/B87vg/P74PwBOH8Azh+C84fgPBKcR4LzR+D8ETh/DM6fgPMn4PwpOH8Kzp+B82fo58/Rz5+jn79AP3+Bfv4S/fwl+vkr9PNX6Oev0c9fo5+/QT9/g37+Fv38Lfr5O/Tzd+jn79HP36Off0A//4B+/hH9/CP6+Sf080/o55/B+Wdw/gWcfwHnX8H5V3D+DZx/A+ffwfl39PMo9PNo9PNo9PMY9PMY9PNY9PNY9PM49PM49PMf6Oc/0M/j0c/j0c9/op//RD//hbn9F+b2BMztCZjbEzG3J2JuT8LcnoS5PRlzezLm9t+Y239jbk/B3J6Cud3NgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/dwzngY7hnFNz7nIM55ya8yAHfu4YzoMdwzmn5jzEwd+VOobzUMdwzqk5D3MM55yac8sxnHNqzm3HcC4cwzmn5txxDOec+u1mdnB+7uD83DH9nFP386wOzs8dnJ87OD93cH7u4Pzcwfm5g/NzB+fnDs7PHZyfOzg/d3B+7uD83MH5uYPzcwfn5w7Ozx2cnzs4P3dwfu7g/NzB+bkDP3dwfu7Azx2cnzvwcwd+7sDPHfi5Az934OcO/NyBnzvwcwd+7sDPHfi5g/NzB37uwM8d+LkDP3fg5w783IGfO/BzB37uwM8d+LkDP3fg5w783IGfO/BzB37uwM8d+Dnfz4NVntaUDvzcgZ+Dc07996rlwXl5cF4BnHPqv7epCM4rgvNKjvn7UE799yCV+X52f301tjI4rwLOq4DzquC8GjivBs6rg/Pq4LwGOK8BzsPBeTg4rwnOa4LzCHAeAc5rgfNa4Lw2OK8NzuuA8zrgvC44rwvO64FzTnN+7uD8HJw3AOcNwHlDcN4QnDdycH4OzhuD88bgvAk4bwLOm4LzpuC8GThvBs6bg/Pm4LwFOG8JzluC81bgvBU4bw3OW4PzNuC8DThvC87bgvN24LwdOG8PztuD8w7gvAM47wjOO4LzTuCc8/8z9yD+</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="340">
              <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>eJzt0jEKwkAQheEcxVJSWVsFtksVECwEQSKKCIKghZXEzkJQbG08iIVH8QiWloKzE5jRnMD/ax477s5sFpMEAAAAwH/oZj/Xo4Xk6yD5vEjeXLbP8fxRcr+T7Gwlq43kaRX7riWL5e+sZna+rq9jyWwY55WS935c53Zd9WKfkTs3cOvc9tP6Y2rrek77tuaxHt+rCvZ3va/O13qS2n5636/75O5cnJMV9lzTfu1Xv0ewc3W/9qvrmqXN+ryb579H9+l3N93bv1c9L3V111czm9h9Td/h/w/+3bT+1afrfg8N54LdDwAAAAAAAAAAAAAAAAAAAAAAAAAAPt41I17X</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=133.014 Q3=71.200 sample=4 experiment=1 RT=4.00 ce=-30.00 name=malate" defaultArrayLength="2264" 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="13172">
              <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="120">
              <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>eJzt0TEOwCAIAECf5tgnOHfqM3yaT+ss0XTCdLhbGCAQoBQAAPiZftUp7vLZ87P6xjhazrxT4r3GU5d1cc+v//Z7nd/1AwAAAAAAAAAAAAAAAADguBeoIhDj</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=135.056 Q3=78.200 sample=4 experiment=1 RT=0.61 ce=-30.00 name=N-methylnicotinamide" defaultArrayLength="2264" 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="13172">
              <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="104">
              <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>eJztzrEJACAMBMAMZuEAtu6/ipVNIGChjdw1ged5EgG3jf52p6V893Je7eVetbfNfvZPvlUPAAAAAAAAAAAAAAAAAAAAAP6wAL6mB74=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=136.040 Q3=91.900 sample=4 experiment=1 RT=1.46 ce=-15.00 name=4-aminobenzoic_acid" defaultArrayLength="2264" 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="13172">
              <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>eJzt0stKgkEYxnEvQcKFixZdQtsiQrqWCIkIiRbZAaSjlYiFRUhF5yyJykWIuLDDwlUUQYugsFYtpGsovveZYLyG/2/zMDPvfDPzzYRCADzZvViQVeXQoWXHkWVcGd637FVd567qDyxzGo+cWA6cWd6dW34fWw5rvFW07NN6/ervaKtz+8qr/+nasufKMqmcKlvWi/6+4nn1z+scKcvEjNoTaifVHrfsmta8SX1nrq1O34umLQfXVb9pObKl+h21C6pXRjQe1rzahtZR1tYsKznLRlb1i/rOitZL++ONjNZd9ffn6tx/cPPdOSqzfp07b3zZH//vX/LXc/tNbFu69/Cj+4/pXlp6Fw8ly8KF5ajaY5eW+ZsgU6f3lt3PQcYW3oJslpqWL182Xv60edWPIOupV+t/f9S+bi0H9V7cO3P34s4RzfjndPcNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADw5xdkU4q3</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=145.014 Q3=100.900 sample=4 experiment=1 RT=4.01 ce=-15.00 name=a-Ketoglutaric_acid" defaultArrayLength="2264" 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="13172">
              <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>eJzt0LFLAmEYx3GXyDFpcBX/kgsaHB1bjIaGm0SkIAjkCBOjoSJyUeQcIqgpaKuhyckxyFH/A8ElCCJ6f/cOzys01vL9LF/u7n3v3udyOQAAAOCfVE4i19mZ+pqojZYan0dm3ceFOrlWFwN1N1WrN+rBUN2+V9ef1dqL+vRo1zWO7XfbV2r+Qb0buyaFuWuUfrnubxa2ftpdFl3T0YZr6XbN9bK10P7lTPvKb3rP+0T3P7NzlUfqtGfnm3bsf9k7yuY8VeO+ncP/Lz9HUsn2xb83XBft2O/55/5+9dCu99f+nP46qWf7mnaelfc2g/ME+8LrcJ2fFwAAAAAAAAAAAAAAAAAAAAAAAAAAAH/uG5uWXyk=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=145.051 Q3=81.000 sample=4 experiment=1 RT=3.96 ce=-45.00 name=adipic_acid" defaultArrayLength="2264" 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="13172">
              <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="120">
              <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>eJzt0LENwCAMBECPRpsRGCFdNgijMCIjUKRCSYWQIqG7xnJhW+8IAABYrBxpq/uvfdfTt/u71jMNcyWP83//Z5XZHLvkBwAAAAAAAAAAAAAAAAAgOmIsD18=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=145.062 Q3=57.800 sample=4 experiment=1 RT=3.80 ce=-45.00 name=glutamine" defaultArrayLength="2264" 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="13172">
              <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>eJzt0DEOQUEUhlELsAa1HWjVlmAbel4jFDqNaJQSpS2I6BWiUFiKxO8VHhLVi8g5zZe5xdzJNBoAAPydot+tZ0/v/Z7q/OX8eF85/3RPXarvKHsdpO1ZOtzcW+x36eqU+eSSto6Zjw45d7bpcp2eF2lznk7Hz3t+5T8AAAAAAAAAAAAAAAAAAOBLN8RfIfc=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=145.098 Q3=145.098 sample=4 experiment=1 RT=5.98 ce=-10.00 name=lysine" defaultArrayLength="2264" 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="13172">
              <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="548">
              <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=4 experiment=1 RT=4.11 ce=-30.00 name=Glutamic_acid" defaultArrayLength="2264" 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="13172">
              <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>eJzt0b0NwkAMBtCMwATMkoIRKKhQChoaBA0SAiFapkBswAiMwAiMQmEuUiyFv5b3mk++JL7zpaoAAODPHEb1y/rddyWvq8jbOrLZPJ9PI+txt2+uP933V808+k+OkcNz5O4SOThF3reRy31kmaNZ1J0+5fztfLPues4yX14v8ntln6y993Sv+X/kc/b16asBAAAAAAAAAAAAAAAAAPjaA7MhKyo=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=148.044 Q3=148.044 sample=4 experiment=1 RT=2.89 ce=-10.00 name=Methionine" defaultArrayLength="2264" 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="13172">
              <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=149.046 Q3=59.100 sample=4 experiment=1 RT=2.13 ce=-30.00 name=ribose" defaultArrayLength="2264" 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="13172">
              <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>eJzt0bERgzAMBVBGySjOCJTpaCiydUZJEcwdMv9IQfleo7NsJGFPEwD3ebbT+Fna6bn2KudTvfkXl/dxPfTr+TRPqh/y+3ybx3rsU9e1X/0+9p+PMd5L2U/32vP7fqmfzvX/uZy7GOa48u97pPfcDHPWd0h1AAAAAAAAAAAAAAAAAAAA4B5f8B4mOw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=149.046 Q3=58.800 sample=4 experiment=1 RT=2.70 ce=-30.00 name=arabinose" defaultArrayLength="2264" 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="13172">
              <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>eJzt0jEKAjEQAMB7WhqfIFimsbcRRBD0Rz7RIhchy4XkOpGZZsneXrJhsywA8CfyNZV4Tpvr5bbGXGI6tuvoeUhN7Infe/XT+U4/sb72v7fPUV3vv9E+MT86p86l3iPG2XNn+4rr02vN13dxafPve4n50dbFd/PdP2/H3rzq/ffOAwAAAAAAAAAAAAAAAAAA4Id8AB3jNI8=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=151.026 Q3=108.000 sample=4 experiment=1 RT=1.88 ce=-30.00 name=xanthine" defaultArrayLength="2264" 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="13172">
              <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>eJzt0j1Lw0AAh/EKIg4KiouDUBfFwQ+g4NCCg2PHjuIgGQu+IFJpfY9iJBVRkQ6CCgWXDuLk0EHFSYqC6Cg6ODiU6gcQ758Trl/Awee3PFxyl0svjcUA4A+VtxOmpVD1ltTugjqwoqY21bHlhLOutuWuK+XV6oLqL7rzMhvu/HDOXde4vmPGnZeaahjPu+P3Vfc5dr1dV5111zXu89usmvfU2zXV/n47z56P3S/MRfXVngP18cw0/1LROP5k2pv7MM2km5I/TX91mr4FcdOhm37T6es+0+Kkrrdlu3S/pTmpfT7Nc8brr6aV9mfts3enfYevNG69UIOy+nCujp6q9ydqraheHqoj++pEdL90pHo76uBudD36H1UDtX7sjv2Cez72XO13K69H72m/Y+jOs+dtv6OtfR4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP/MN8IIeQg=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=154.062 Q3=93.000 sample=4 experiment=1 RT=6.30 ce=-30.00 name=Histidine" defaultArrayLength="2264" 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="13172">
              <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>eJztz7tRw1AQRmGVoBIUEqoEhYQKCVWCQ0IXgG1hXuZlCwwDoUNCl6ASFDp0CcxwzwaiAQjOl/xzd1d7r7JMkiRJkiRJf677qH7y7DPlyVvKFTndpuzJ/XvKin77mvKLPCdP47wdnw8vKSec83XKkjx03Lf+1X8iNymb6D/yroeUA/UdcwP1/Jl6JN8V7K2ZKyPp1/fMU++Z39+mbOl3nOsV992xh+zJ4zXv4tzcsI+s2dNHnfksvr/iPvrVkj5zO/oV2ZI12ZPHy/F7WvYU1BvqJfU8MvYwl1EfmJ9Sb6NPveE8aZknp2TBnm45fl/cP4l9ZDUj4//jHXPuW9Bn/556wTmbje/vLphfjN9TzMdzkiRJkiRJkiRJkiRJkiRJkiRJ+je+AY9ehBs=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=157.037 Q3=96.900 sample=4 experiment=1 RT=2.45 ce=-30.00 name=allantoin" defaultArrayLength="2264" 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="13172">
              <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>eJzt0jFOQkEQBuB3BI/0Eikp6bGwoSIxlBZUBBtvYGJpqZWFhSR4AEuPQ8K83WTnIZQ039f82bezQ2aXrgOAS5b9MXaLIWdpPeTrfeTNQ3/yfNkv58s6f19Pztd1877pW3J0bpXOpbrSp84za7+Xuny+9C11dd55W3/3GLndRr6/RN5+RE6/j7n++on13z7y+TNy8xb5+9T2qb+f7rXOO2R+lzxvnmOUy3ad33f0P0j3l/f/fb9037VPeq+8X+sAAAAAAAAAAAAAAAAAAAC4lgPJ0Vw0</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=157.123 Q3=157.123 sample=4 experiment=1 RT=0.63 ce=-10.00 name=C9:0_pelargonic_acid" defaultArrayLength="2264" 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="13172">
              <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>eJztzaFOgmEUgOE/cQHKFMUBWpyjKU2DOkcWk0yLm8FgcgSDzcLMXoDBSLBpIBgMJuZMZEfwAsjOeY4XQXie8u77/v87pyhgtlw3S3t/3TmrR4e9avS0mX17X4k+tWvR++38b7fbiB6NsscHa9HBw2rO+8n78+88f2xmLw9zTv8k5xdfy9FeZSm/txdy/3o5Ou7ORVuN+ehkshi9ec73j+NseT/nvG7l+eWzEr3o/Pc2302vcs/wLvcMNvIMAAAAAAAAAAAAAAAAAAAAALPuF+kYK24=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=160.062 Q3=99.800 sample=4 experiment=1 RT=4.27 ce=-45.00 name=2-aminoadipic_acid" defaultArrayLength="2264" 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="13172">
              <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>eJzt0qEOgzAQBmAeaxI5PYUiy9SS+WkedY8yQbmkBxfEJr/PXNqDv6V0GAAAgEPLa1zrtNbx1sZzP79c+35Vh0tft/dC6v/sTzmxz5x3Ni7md999khfnl/c1FfMtP/rFeVe5Z/+n+u/Rn4/nc27Oj3uV+2nd+6NfZ/f+9tyzr3F/W//z7vMipzhXAAAAAAAAAAAAAAAAAIADXxbmM0g=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=163.061 Q3=100.800 sample=4 experiment=1 RT=2.58 ce=-15.00 name=&quot;1,5-anhydroglucitol&quot;" defaultArrayLength="2264" 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="13172">
              <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="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>eJzt0jFKxEAUBuAtxEt4CY8QC49gb7ONLFiJYOOCjWChIMKyjVuIF1DsBE+whWAv2FhYLDaWCvMmCzMxamfzfc3Pe0lm3iQZDADgn4w3myKbrTLbfq1zfbt8bqmnX++z7O9FPdv5/no9TzP8ec76fJ112vmG5X7tHK+nke9XkaP7lA+PTylnx29Rzz+jXlvdSPXNSsr124/oX7ykHI/msc7iLnJ6nfe5jJxMc07yfSc5z3Me5Tws51zsR54dRD7vludr67pfv7/f3lOfznfvUa/31/+vnRMAAAAAAAAAAAAAAAAAAICOL0C9Utw=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=164.072 Q3=103.100 sample=4 experiment=1 RT=2.53 ce=-30.00 name=phenylalanine" defaultArrayLength="2264" 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="13172">
              <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>eJzt0iFIQ0Ecx/E1RRSWtAqCzSIGbWdYM1gWBME0g0UZiKKGGcRqEMNmUpQJCos6RQwGm9rEZDC8IDgRTAPF/2/34G5aBNv3U77ce3fvbtwyGQAA/kveWbKLammm1XkXvE/HhXCemwvnpeOcC/cphOvj/f18/91039/GuZ/XxeduO0c0Pz1vi18/uaJWN9XysdW93Du9bliTju7x79YfB6zrg8PWz6kRa/l5yLqV7beOvvVYn/qatv5qLNH3Jx40Xr2zlrZv9Hz5Wk0u1cqF+lFXb8/Uo1P1/Vx9rak7J2qzqk4fql0H6uy+2run7lbC391YUzs3wrG/R/+/8e9rS+pCUY3vL763VD6c13afAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIC/+gK5YF4G</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=167.021 Q3=69.100 sample=4 experiment=1 RT=3.27 ce=-45.00 name=uric_acid" defaultArrayLength="2264" 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="13172">
              <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>eJzt0b9LAmEcx/FbAqGG/gRxdhBpaDwX56PBUaTBKVAInMIeFHRxuE3aRDCCoCmowcF/Icemm6QxSLAlkJ5Pj/AcNliO79fy5vvc8Tz3IwgAAAD2wJTDndb/uq+p7Occt89/n2/X85Ja6M1xa/v5v723W09fjzqan7tq8VatTm3Dwdx29LqwTVZftqdXh6XvPuaPbTN9dRQd2EbtD3tfNp/YmqMX9Xym/RtPau5evXtQ2xP1bKwuh2rtRj2J1bjnz599v+66e6/CwJ+Da/XNqLNL9b3p19TVzfdPzdmLn3X3fVP/CwAAAAAAAAAAAAAAAAAAAAAAAAAAAMBWayPBTr8=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=173.082 Q3=111.000 sample=4 experiment=1 RT=3.58 ce=-30.00 name=Sebacic_acid写错，正确那个是suberic_acid" defaultArrayLength="2264" 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="13172">
              <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>eJzt0TEKwlAMANAeyEM4eoSOxamTiCA4SXEquAgujh7BIzq0KTRtqZvLe0tI838SfosCAIBF1X47yptdysv5+hD7evRZ6zfpU6aY+r8P4/rS3nnf6jRfj3tNPV+PeXEu8hxjzvE8jp/ruB55fp+YP3nP9H04n8/l/xT3+vi49Pf7d2jbLr7uXdw8u1jfFvbL/yfPS/v9amn/tfMAAAAAAAAAAAAAAAAAAPAnX1EEQ0U=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=174.041 Q3=88.000 sample=4 experiment=1 RT=4.25 ce=-30.00 name=N-acetyl-L-aspartic_acid" defaultArrayLength="2264" 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="13172">
              <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="164">
              <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>eJzt0jEKgDAMAED/5eLs7OTqIPgCEQSf6BN8ioNZrIgi6nS3hNKmIWmzDAAAuCcvnp1P49+i7lRG7La4NLGu9/tn+UUb54bI77c4j5FX7e9L+z29/0o6t7/meLPOoa+33/vpvwMAAAAAAAAAAAAAAAAA+N4KZTQVng==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=174.057 Q3=130.066 sample=4 experiment=1 RT=1.74 ce=-15.00 name=Indole-3-acetic_acid" defaultArrayLength="2264" 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="13172">
              <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="444">
              <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>eJzt0q1LBEEYgPFNRrFZ908wnm1tGoTDdIbDQxAMBhXFQxT3DAYRFDUYVBauXDCIWGxrELEJClrEDX7UQ/ADRBDmfd+FWS7afH7lYWZvZmd3LwgA/GvpSOQ16I86zluzSf3dkD+O5nR+Sno8Kw1XdH5DOr2u6zalg9vSnh1pvCct7frzt9q1RHrSkn4dSQ9OpbUz1/juXPe/ck2Hb1yjwwe5PvDimr23ZVz9cE3Cb9dy14/rdVPGfc+fru3eN9faxZPsX72XPl5KX/Uc3U3pvj5HqM/bWtX3sKjzDX0fdWkl1vkZaf4edRws+evT+c6172Lvv7zgj22frOHfx9ZvLUvtuybj/jj/H4z5122d/Q/yc4/6z5nfb8K/XtyveN3GxfPYOjuXPYfd39bl5wYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAH/hF3ljfU0=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=174.088 Q3=131.000 sample=4 experiment=1 RT=3.98 ce=-30.00 name=Citrulline" defaultArrayLength="2264" 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="13172">
              <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>eJzt0TFKA0EUBuC9gd7CKwg20+YIdmKXKmAREFIsEoT0aYVcQWwtUtvYWSukMF0KC8vAzE5gnqYULL6v+Xkzj32zM10HAAB/LF2mnO/Xqal3N219Oi15vhjq+7avn7T9aVyyG7X7tY7z6/qhjkbp14z9cW7043+H/n5e8mtVcvtUcrrOub54K/m8yZleP3OuTj5y9tuX0n/2WPL7YfjusuTurp1T7y/dDuuT9lxXs3a/nrPWta++S7z3Y+95eKfxkfXw/bpf58R7i/MAAAAAAAAAAAAAAAAAAPg39osbUHI=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=178.051 Q3=77.200 sample=4 experiment=1 RT=2.09 ce=-45.00 name=hippuric_acid" defaultArrayLength="2264" 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="13172">
              <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>eJzt0TFqw0AQBVDXOYJPI3IClS5VuEjhKxhkSCBljiCDi4DbQFqXOUZK5xYBTyTQWoMEad9rPrOa3R2xqxUAs9qquuVlE9nWkd+7avL7kE/T2fe3TZJ1Ulfjupynl62X+4c6mb/bjv/z/Tny4Rh5PUX+fETuPyNf/ur1OfKxi/x6jXw7jM/v7yvnHOpk3rS/WdafnVuu3+3L+rN9xXul583cO2d494X9AAAAAAAAAAAAAAAAAAAA8E+/ChpTvg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=178.072 Q3=58.800 sample=4 experiment=1 RT=4.11 ce=-45.00 name=mannosamine" defaultArrayLength="2264" 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="13172">
              <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="156">
              <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>eJzt0TEKwCAMBdAezaFH6OxZevROFfwl6Fp4bwliTIweBwAA/NR9tilW+6ld87kR+7zOvKpu1aeS9Vd5ud7t/87zquau6q/eb9Trc1z1+7xvnFvVyftW98u83X/K+TICAAAAAAAAAAAAAAAAADA8ugcstQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=179.056 Q3=59.000 sample=4 experiment=1 RT=3.40 ce=-30.00 name=galactose__" defaultArrayLength="2264" 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="13172">
              <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="488">
              <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>eJzt0r8rxHEcx/Hr6EIMynCLus3AcIsynslgsVkMV5TlhiPFIpdFSdyFHPlxhDuSQbeIBSWdy0kxXIabdMVOOT/yeX0/w9dfID0fy7P39z7fn5/zeAAAAP6wnpGQaahXDQ+5598NDKqeLjUTV4OjanRWLc2p8Xln3nDWLakPW2p+Rc2uudf7p9VUUo2su4+/zagDCed5xp37TLivU73ofq6+ZdW3qX5m1NyhOpo1jfWfaU6ca/66Urcvdfy6oPkjpxYeTVO3T5onnzVfvJuWBj2dPw0fVMw8dlxn5ni2yrSm6DWNFjUnE2oq7TMN3mt9x0KjrtNWbxorN+j8bs0vTfo9FanV9fOv5n6BlrKeu/1O3XPer/VEbT5Sb/bVYad9e+qW8538u6rdL7uvdn/seXZ/7ff17qjltPu8yqp66uyT3W/7P7Gz3Tc72/XBKfdxAAAAAAAAAAAAAAAAAAAAAAAAAAAA4J/5Bve4gjw=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=179.056 Q3=87.000 sample=4 experiment=1 RT=3.83 ce=-30.00 name=inositol" defaultArrayLength="2264" 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="13172">
              <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="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>eJzt0SFuAkEYBtC1DbaissdAIFZXVaOaEAwWQagilW0wJE3q4BYgOUBVTwA34Agk/MwmO9mFpBLeM19m5tudmd2iAADgbm0H5cX5sh+5HZeN81WOmvP1PfLpI/JxEfkzjzx8nXuf9V5+rny/ZPZS76dx23p1nzQeNT9f3Xdc76X1dM5icvl9qddbRnY2kbvfUz4Pd6dcTfcx//AX2V1Hvn237NPPztvyH3Opn3+na/3/rgMAAAAAAAAAAAAAAAAAcPOOqitBPA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=180.067 Q3=93.100 sample=4 experiment=1 RT=3.28 ce=-45.00 name=tyrosine_" defaultArrayLength="2264" 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="13172">
              <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>eJzt0qFOw0AcwOG+yBIeA1mxIFAo9GZQGEaCIqFZMoPC4GfqsbjKyU0RHNkDDNugSPrviWtImGAJWb7P/HLt5Xq9tigAAP6h6qzM2lyWB1n/rw33/dv95VXeyTx6uuj7HJ29dK2+mhiPNjFu37qW9bbr8jzarN6jn+uYX79Gd3V0/BRtq/75d3mLafTkIZrOf33787ziJu/Fff6eaTx836S8ztdLz0n7a/v9pvP4eMznpf0NO5Su7/v9D/WfAAAAAAAAAAAAAAAAAADAkfgGRp1HuA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=188.056 Q3=58.000 sample=4 experiment=1 RT=4.11 ce=-45.00 name=N-acetyl-L-glutamic_acid" defaultArrayLength="2264" 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="13172">
              <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>eJztz7ENwCAMBEBGc5ERqDMLo6cmIsIkHbnrLPltfSkAALCpdkQ3R43hXjZ/t3rvra9/2tnnZ72e/mZzu/lrbwAAAAAAAAAAAAAAAACAhAv1pAmD</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=188.071 Q3=144.081 sample=4 experiment=1 RT=1.31 ce=-15.00 name=3-Indolepropionic_acid" defaultArrayLength="2264" 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="13172">
              <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="504">
              <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=191.020 Q3=191.020 sample=4 experiment=1 RT=5.43 ce=-30.00 name=citric_acid" defaultArrayLength="2264" 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="13172">
              <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="408">
              <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>eJzt0q1OA0EUhuEVCEQlinANCARBEEIIAoEg1VUVBIWqQCARCEQFpmV/potpCLICwQU0pAJFqggCiUAgEIgmnO+IszeA4H3Ml5k5O7+bZQAAAAAA/DPtevc3L0eW/WS5qv4t9afK8kntjsYPU6xrKa9Ly67Gv4eWa5onV/+66h/Uv6n+eR2/f9b4q9pXjXk2bi1X1D73fVZxn/uN8/RzfVdYHmn8ZRTrH/N47qUqfneh+bdvLH80vqN9vRXxXJMinuNL7UzrLae4714d15vrfo9V7/fi9+fzef1UeaD1/J28fqz5/B0+NH6vdc90/hPVlRr393z3ecuYd6o71TpTpd/HZ+O+9lI8z0z/TWtg6f/nRP3N/w4AAAAAAAAAAAAAAAAAAAAAAAAA/tACzzt5Gg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=193.035 Q3=58.900 sample=4 experiment=1 RT=4.08 ce=-45.00 name=glucuronic_acid" defaultArrayLength="2264" 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="13172">
              <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="200">
              <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>eJzt0LEKwjAQBuA8go/UydnFvYuTiyCCo4/moxVsL5DTkK7C9y1Hk+a/S0oBAIA/cbpNn/o+r3W6tt/l2K7X/UtbQz4f+bXPY62v5+96uLf/xbnYzznRJ88Rc9d7JL31OPeVs+XPc5ojvVvUoeiT+43m2XTn35uf9uNeQ73cTp/duQAAAAAAAAAAAAAAAAAAhAV9GzAV</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=199.170 Q3=199.170 sample=4 experiment=1 RT=0.59 ce=-10.00 name=C12:0_lauric_acid" defaultArrayLength="2264" 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="13172">
              <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>eJztzq9KQ2EYx/FXBf9sirsQg3HBcNaOd2AwLJt2Cd6CYLAMbGIQTxnWXcKspiUZBjFMWXAg53nwGgT5fMqXX3mftxT4dVL99Q9a06e3qm1vWQZthzcb0cXVVnTV3Yn2FrvR/uN+9Hadnd8dRMt97v4k9/HLXrS+7kRHF9n6KN9pHrajZ695pxpuRi9L3p9/r+Nfs8NVdNr9yj3+jDbvuZs698fzMnueHZ1mAQAAAAAAAAAAAAAAAAAAAOC/+AFXnDBo</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=203.083 Q3=116.100 sample=4 experiment=1 RT=2.67 ce=-45.00 name=tryptophan" defaultArrayLength="2264" 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="13172">
              <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>eJzt0i9LQ2EUx/HFxSXz3oBhMEHbY1jwBTgQNnmKRcsQBsYlYcGwuCqIddxhMW0wg80gosEmBoMoK4JFPM8fOMfJsvL9lB/n3vuc8zz33lIJAIC/yjtV9hqhdttO1fb6ZD+k33Oqz+hQ30/r0nNpvU27j2XzU+b5Hd0n943s/DzP6/5p/7tnIcczycnDo+RN8SlZOV/Z/M7n91XJncGG5OvBumT5pSZ536xKfhyXJd/ac1nvq0+S7uIuzKnfSvbWrkO9dRXq2jSe8zJkUYRsncbrw5gnMfv6HPm9dPT57XdL50/sffve7Hf48T/Eeb77Sx+zr8qR7pP32V08HwAAAAAAAAAAAAAAAAAAAAAAAAAAAAD+kS/ZI1zh</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=207.078 Q3=144.000 sample=4 experiment=1 RT=2.60 ce=-30.00 name=kynurenine" defaultArrayLength="2264" 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="13172">
              <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>eJzt0S1LBEEYwPE1Wf1II3hwvoHl+hWzyX4GQQzCBeEwqHgIJqvFcEm/gFmMFptRRJxn92DOW3xJht+v/Nlnd3bY2aoCgH9u0ElFf7vur1Ivzb1u+t37p/f7ae78y/rmubqvw+jJde7g8T63f/Gcu3T1nnuwubj82e7qQu7k7SXPJ+sPsf7uNnp6E127jK6cRc/H0dFRve9xdGNYzkeH0e5e2a3d+no/+rRTzpvvSdt1e+W80XYubefcNp/dZ/Y/Tp9rmf90fwAAAAAAAAAAAAAAAAAAAKoPC989wQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=209.030 Q3=85.000 sample=4 experiment=1 RT=5.42 ce=-15.00 name=galactaric_acid" defaultArrayLength="2264" 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="13172">
              <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>eJzt0T0OwjAMBtAegxN0z9KpQxES5+rRmYzEp5psLLy3WEkcOz/LAgAAAP/idlyPK45mfYu8dTIek7yqV9bjOm7NfNbNvrmvW8/9Nb83+6peGcf32N33Hn32yJv1i/udz0n/itW3+9f8p9K9z/gcv8/R5J2PmK9Y58r7z/rmOQEAAAAAAAAAAAAAAAB+7wXzxST+</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=212.002 Q3=79.900 sample=4 experiment=1 RT=1.12 ce=-45.00 name=3-indoxyl_sulfate" defaultArrayLength="2264" 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="13172">
              <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="532">
              <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=4 experiment=1 RT=2.85 ce=-15.00 name=pantothenic_acid" defaultArrayLength="2264" 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="13172">
              <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>eJzt0D1qAkEYgOEFS8Ez2USEWNjYewMhYGMlpPYIIcEqYBlSCRJQ2EJsTRvxApYpBb9dIYtrVCyfp3nZ+dkZJkkAgJsMH+p3XV/vnJ4v3df9O15cl39fes/j+d3r9pUp21+8108v+vscbY2jr5/R5nu0MYmm0+hycehXdR2tbKO1TTT5PnSYrmL9bhbdzKOPH9n4S3bOKPo2iLb72fdTNH+fvGXvXZz/7x0uHb/Wvf4DAAAAAAAAAAAAAAAAAABwxh7HUjhB</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=219.078 Q3=144.000 sample=4 experiment=1 RT=3.37 ce=-30.00 name=5-hydroxy-L-tryptophan" defaultArrayLength="2264" 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="13172">
              <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>eJwtm2VgFckShQMBYkjsxmZ60MUXt0W2C5cQ3N3dbYEHLO4Oi7u7u7u7E9xdYgQi5FV3n/w52SQ7uXemvq76uklt6/2eUbXC5ahnC199i2ohtz1oPai200kuPhmdsO50T1np7in5755+8lD19KnzTRgkCx9reOZe06Ey7/cy/ZPKjZCpDt5vUW3RaJnfOj3pbvrxstHwbfva/TtJVvj7/cMtCVNlyRtd3ZeWmClr6l8wS1pDig6fNGWenFS+zZsb2RbLn17TIkIOLZe9io3cT6NXyeev/qo2MNdaGTx7XYMlwzfISVP2lWvw5xZZ80uRD48jt8scERtLJX7fKVdnP5g0IXa3HDtk1e9pdfbJae6n2g7bfEDOm/biTLd0h2XZo/XmZZ1+VLZ8XMV9sM8JmVIl9+r9HU/KlTu9KsYfPyUr2p9elgg7I3+t6Lz7Y/+zcrFP9fp5r52TeVrMOBWX+4K8fK5Pu+JjLsqeheulHvjkksy0pOiqPSWvyJ3pXBViZ12V9fv+eFH08zWZ8OXTib+y35Dhqx/PbHrjhlzS5GqbIcNvyvhF6oK3ZLU6SSH979+SC9N+eT977G2Zpf3XZhX+viN3RJR7szn+jqRSU3u7dt6VN7M9+jWi2z3ZeOTj7gVy3Jfvu+X7Mf/JfTm44dCRqeY/kF500bt7nYdyYd6Q/+54RcosE0M9xp6OlDv6dZn1Zdgj3OfH8vyhA9PSfX8sm6z1COmz8Yl8P6PRqoftnspeXxoHTrKfyZT765ZF330mq70YGrit6nO5UrSc/X3TczlwTkiaRhlfyGvXE0Yt6PtC5kr/JCXyzgs5strx4aLUS/lw7MrE1otfyiInx/AdfynTlZSfPNq9kq37Z+1a4+wrWWnH/DnlCr6Wa3K+21l/4Ws5sb26829kzxW305Xu+UZeDcr+R537b+Su+gtrVyz/Vvpfet+z6ea3Mj5d6wU1Xe/ko4qq0N7JModyvGj44Z3Mom/gezmy58c8rY++lx03tWlQL9cHWePdvRGVZ32Q+W724CfzUc4elYcr8aP8Vfjttj9ef5StX67qmanhJ3luduv8v85+kn/qB/1Zzol5sPHK+s8yYfV/XfaFfJFt+WorJn2R59Nkejsp4Yvc+HXNgnndv8qJ45rdPvLqq+yzsWXOpc2/yftNw96Mv/JNrvypfsF32YirP6zjd3k49etW/Vd+l/xwIjve+i5/REwokybxu/QbOdt1L0uUvD3/QJdHFaNkvZqXi0d3ipJzSqeKGDstSj7hKpm+LUryTXs44XqUbDq+1L2zX6Jk9VObb7mnj5alfzvXy+eNljcyb620u3K03FJ+nO/wDtHmfo6Jlh3HFd/guypall+fYUDkiWgpLr6Ra55Fy7K1bs5q8TtahqgXLmJk7Cx1Y2Lkjd1N4w42i5Fb7xbmJxcjGYqBfRfHyFM3krdHHI2RSRujbkW8jJHFx7yJi/CIlb1bPAyplT9Wflrw/GTZurEyR787r8sOipWtwi94lFscKyMnXN+R70SsDGh7+na+N7EyovT+H/m84+SQDzkLe+aPk+30heLkjNfRmW/1jpO3ahRrPnVunHTtHDivysE4GbRndbj/0zjZTN3W1D/AyQ9ZWBV2gx+y2/zq/IR/yDXqMW38IZ/OmcBP5Ie8W2DOta3JP2TGP3ct/ZYrXqa9cPRthXrxUp57vHfssHg55Ezi2HPr4uWuU2ENPG/Gy89MZY3EeJnzeJPoKX/8lK2P/nPyau2fslGTMd5Zh/6UnjGVkq2VP+VBpiXowk/ZLfeFl37ffsqHavkL+iUnJ5SsEFrul8zhXv/5P51+yQ7qhc/+JdfmcXXOfOyXfFN2UN6YD79knayVMoeGJMhB+gUlyCUfwlvs6Zkgvywrm//OogT5d4M/k2LOJ8gZXs6VgLgE+fxYxiVFsyXKwgNSutevnSjPTFULV6JUq8qojYmyU/zrtivvJcr9W/iBuSdJz3bnUr0olCSbBu+/6dYqSW66sn5llilJUq0eBQ4kyemLlpyv9SZJPqs9bX4v/2TZ+3IzEVA2WR59FSgudkyWEQqIGcnS/69u/ZzDydL3w/7t7u+SpV7W/X/L03G5W8yo8FvyTTrepN9v8/pW/ZaZGvqkJN38LQfowkyRF08E/lz6V4p8dKf+saG9U2Rv/zEnLq1MkZV3n63mdSdF9hg8dG1+dzc6QKNfng9xI1Gqc6WuBd3oBVdRShU3WhPu3+q/Vm7U+e67bvkGuVFe9UCmudHGi0M+N1jnRrqMj7nR2pefT3d+4EaH+3ZsXyrKjQI7RE2M90pFV9b07348WypS1TWhTCoKyVk/7ep6qchLLeDdUpGup9GpaOO/2efeXJyKGhVt0urZnlTUdsjw2y+upaJLGdQKnIqu/T1sfMtUqWlSvGo8qekN3+1iBVPTirCCT3JUSU1JY8/lTN8yNQXeqPTg+wD+ua27i12alpoUFlvWpaab+yZsGnc8NXFT6NXiYWpKt+7EtytRqalz17lWER93Muu3O4V57xp8pow76fqt7056ne3mTvp+j3anCrr9udPJSysr79vtTi/edk6mK+5kF/GJvPnGnXQfTXGnokOb3/sYkoZ6nv29639F0pB+HDXTEH0tHjy7Uxp6cPnisuBRaUivV4vTkOeEqK3Z9qWhFR14obiRhrZ02nHk2Ic0dJBXo7up09LZbukuf7LS0hOm5kbRtFS/9q+PR8PT0j21PLRLS/vb/fuw3JC09Fflqv1+zUhLh3Nl8tm7Li3pvnY0LTll/vtV7E5aUtX762NaGl2LB4hU6ShN4Vcj+4Sko1drF5/JUigdnWxV68eRaulIt6226cg+t3/yg6Hp6OepDpvazE1Hg/paGZ5vTUf1el3I3+V8OirQfWDN78/TkV52E9ORT9aECycCPajH66uxfxTwIN3Xq3jQiRJxc7e38qCPzzw7xg7yoISm0rfodA/yVAvfOg9aFni737QjHqTr+5YHZei7Zcqj9x7ElC5IneJBw66OW5PH5Um6/+TzJEXNGPKkLbz6HmjgSfxmh5zv6mnqcYQn6WVhjidxs9jxYqMn6fXpmCdtnc5A3/Yk3VfeeZr3l+BJ+vZn9KJoe82hOdm8aNm39efCS3rhuXkRv/qnh9t4kZ6rBnjRHNe9FRUmetHpbW4H7y/xovl7S+ccvMOLuh0ZMCfkjJeiacHhe170q5Ff884fvMhveIc23klepKaZrRm9aXlwqtxNs3rTfp6Skop607X264ssr+JN6mUHNPMmPQ/08abN7Ud7xIz1Jpe6PQu9qc3ioZcab8fXz3hTfL7JlaZHetP4gM2h+b95k+HeB5z40NK1dflJ+dCPfrveVSYf8/7r+1C6FnxHOvuQWl6vD/WhoMrZqkZM9yE1Bd1e6UOfF2f8x3OfD4WP2Pk6+LIP8dDAC5oP+Tb5a8+FHz6kVttuGdLTsLIeG7/mSE9ZM8f2aFQuPXXhqWxvw/SUYd79kqJXeuLhjMlNT2X6XJt4a1l6ejaPb9SB9JS997qCfW+mpwN3uEF8SU+zuL0W8MpA3Z72nTw9Rwaq0D5g/FeZgfSY2zwD8dWHbxuUgfR8MScDbb5+t9Hn7RnI9PkM1LZIw0J5P2SgwW9//q+sR0ZSU1vjPzKSwjmxUkbKG9M194V2GSlctbWRGUnPh0sz0owC1Qc3PJSRduZjMu9npNu5S3YIis1IcX8UiPzhm4lCnuVt9yl/JlJlUjo8E3G1t1nWJRP9wdNOqvH837nO7mmxOhNVO1K7S49TmSisbqQ17EUmc7/dfKmleqN+vhTDU7nI5ktN1YMr6kvfRi9eHlfRl9QY0bOBL5l5wZf0fDzAl5iuqvPH+tJxtazP9SWXHhh8KWEEV9huX9p+cGaxtad8Sa1ekTd96SFPSSuf+9JX389vOnzzpaLLx4/O/9uX/vmTn0x6PzpymD8sP3KrwZ00rx/dydcx9GUpPxpTsOY67yp+lCY9P4n6frRqRvqao1r7UZ/Sj7M+6O5Hul8N9qPHXdx6jxrrR0M/N3h7e6YfrT8tRh9dwtdZ9Fas3+BHqfrxK9rjRwX5dg494UctspSPan/Fz9ThA/65gdwZXvmRWrZ8vvpRM37c1X/60dwtO9K5UvuTmff9qTHj0jXQn+pWUR3RnyyeCqrm9KfKqmEW8Ce17FQt6U9d9eDpbziu6k96bqntT8ouHjX2p/G8WnRu7U+j+1eZ+6OTP9VWhdTLn8I/pinmN8ifroWqB+VP2dTHaH9apzCZ6I91yZ+GK4GZ60/Gk/yp4ckNa2qt8KcH32NrNF3nTzykzm69xZ925OYOvcvfrKMH/GlCm4K5/nfM39yvM/w6vv7b8+NFf8PtdX+zPt7xJ7Vc5Ynkr6sLPfM3dfqav16SV9qP/qTnnm/8dbaeEnH+tOfCoGPLE/jrvDx7ugVQxU7lyxxKE2DWF68A2laVxSBjAM1R47N/AGl/CQ6goSU2/93YCiB9uzIHUIa8Y99nzx5A/C4zeuYKMP0tbwDddlcFEEBpPx56cqBIABkvCaAFT7gRlg6gS6crbO36dwDpubNCABWYueJn4SoBNGPppWFhNQJI60VEAGWftTrnu7r839xd45sEmNfbJoDyq0LpzNcpcmZngV4BpOxHDgwgj+9B1eoMCzD1MSaA9Ng6OYDUy5swi9/XrJK35y8IoGHBj5O2LA+gsRlqb5+7NoC6cztcvC2ACqaus+vUoQCKTb4z+MO5AHqf5e7SwNsBtMVu1qHMM7y+j3xd1QBjA6jR8s1bH6QE0F9ZeOX3DqRvAWGLCwUGktYuEUgtEl2Vs+UKJH/zDbMelw6kEfcynZlaMZD0WBMRSHpsaRRINx8owQqkCVdGDxrQNZDKnRgZ/qVfIMXsHpGl07BA2rR+WNzTcYGk7LTFjECqsi8m+c6CQHMfVwUST8Xrz20ONPdjbyBlHvep7oFjgZRGDQIXAunwnHbNtt0MpL6qsB4FUq7/tUqz4nUgqSkm5GsgzeVvz4oPJIW1dyqX4dvbRW87XJ/iFugy/V+4SPtMThdpHy3kouNFzz979ZfLrF8VXaT3AWq6yK8EG3gjF53PU3r25dYuGqEHQhcVU9/o5yKFT4lhLtJeNc5FjT8XPJxrhotUG1izwGXWuVUu0l622UXa6/a6qDJP7VOPuSjxeyiP3C7irhI+4qaLujxwZYmPdJGasnu/dtH1rcmTs0W56N8Z77LcTXZRob48uXkH0fN6h2uWDg6iWcV40sweROWDZgxeXiiItA+VC6L+armtEUQ8RT7a1SjI1FP7IBrXWD3ZICr+l6qEIHobpjYygmheUruLBecFUdWnNfklBpGibO72INrAU3rVI0Gk9xMuBBEPVU023A2iyZnbf232MogSW/BEFx1E3Rf9s2SVezA9vj+qf5XAYIpwTa3xMUcw6e2L4sGk7HhqjWBK9TS11+TWwaQwbN43mMrxVJ17TLCpx7nBtOHToFeX1gXT0wO7Ci85EGzm0DPBdLMqT6jXgyk8U6Hn9R4Fk9LXN2+D6e9lYxr8Ex1MBzpyJ/8dTIX/vH9hsVcIbY51cy/gCqE/juQtdyJLCBkfDKEP2VmESoYQN7Fp/SqG0ONdjc6nqR1CenuiWQhdL7+pTJ5OIVTdS92xEHM/h4dQ2QW5Pj6bGEL7WtfN0W9uCBXUhReC5xpC2fddu5V7fwj1VAPvqRAzP1wLoZncPp49DCF9uTchNIbbnHtUCF0tw6KbFEJVeZXP4Rlq5ueAUOIq+7da5lDaw7obmTeUVLvqUSKU1r+vViClfChlVRslEaGkbnf2pqEUqMSxQyhNZ/2r1ieUPNRC/r9QGvVfxSk9JoSa5zM71NTbslA6fqbyI2dTqNmu2RtKeh/jZKip9yuh8JZQyrwp6PevV6G0sC//6LdQClGDT3wozc/BN9QtjKr8MTD1Is8wUuN8tG8YVVaNIDSM1Gq2OmsYVZrS411injA6zWNygyJh1I81aGfpMIr6W+1chVFfNUiEh9H3KB4w64eR9r0WYfRNbV90CKNeaoHpEUZCFf7AMMPt8DDjFePCSO9zTQ8z6868MDPnLgsjvc2zPowuLDg8b+b2MOLpP9OH/WF0PrzkpPIn8LovhJl55kYYaX19GEaxalvlRZjh5mMYaY+MDqNdapvtRxit2PZoWr7EMNOfUsLM/XG36GmuYiXaelp09Qp/pLeIq55XBIv0NoPLotJq4yjMItXmezmW8ZdslpnLclnUecos/w35LMrptb1GpkIWqbczqJhleOB027dx/bDiFqndxRRO/X5LWLSBl9G0JS0qrsSSU2+7lLKoTkVeCTifRG7nTmxRN3UhTr0/WdqicWr7i1N7dBmLlt/gBZvzTx6vcpS16FDK3o3rOavqB22R3q/g1PPT35bxFs4INaBLix51vHVwL2cXtr5SZBkv4ByT34n6u7xFvmpjgJNlyFW5gmXmTs4DanysaJHGhJOv0rpuJYvaMF53OPW8WtkihWUk55i61ZeOrMLXU95fla83Muep8Zz51DZiNb7edvd3UzmD9EBskdKK6ZyFat857lfDomNvK9yay6nn93CL1DK7iLOTEoCaFultFE6tvREWZRwQSes5dZ3VsoyncO5jrSlU26KKt+ZO3s2px4I6FrVSAx+n2W/i56t+MafZ37HMHMJp9gMteIdFZdTlGlikfuwWZ0P9YdErhSFnn7FFhjZvZJHC9ynnlN2ZlrdtbBkeOTWvTSzj15wn/JQQ8vNR28uc/C4yDGhmmb7CGddbXdAitqVKyZy+fLWRLfh+luB30pKfj95YsMx62soy6waneruZWlum/jm/8MtzteHnw792Aafeh2pr0X+T1Qu0zBzZzjJzOade59tbpLdLOfW63oHrndveTk41LhfraJHZ3+Z6f8pi1InrXW1IcaptQurM9a7fMNe72o7pYpF6vJc4n6jH1pXr3V29E4v0be5mkXq39zi1J3fnem+rfrNl5tUeXO/88l5yVlW/tqdF6nLvOdupH+tl0bev/MGpdlv69bbIWzdmy/htH4v0Pj6n7t99LZL6By1SPzWWU/tNf4vecflN5hygH4hl/IBT76cNtMjmxzuPUz220EGWmTc5z/BtzvKPRer2rebUvjjYoh78djdyqreRfwjX5dhhN3Zz6m3ioVyXar+UU/1Yqf9Zxnc4q2sBtYif2vOTnB1UIQy3KEqNIZwajxEWpVc/yLlQlfO/vD6pgubco8pvpEV635ZTl8soi1QZPOf8oB7vaIv0PiKnfhxjLDOncOrbN9aCx1v0l3q74yzS+9ycxo8ts9/G2UtdboJl5qSJFk2aqD7A+SRwPgmcTwbnk8H5FHA+BZxPBedTwfk0cD4NnE8H59PB+QxwPgOczwTnM8H5LHA+C5zPBuezwfkccD4HnM8F53PB+X/g/D9wPg+czwPn88H5fHC+AJwvAOcLwflCcL4InC8C54vB+WJwvgScLwXnS8H5MnC+DJwvB+fLwfkKcL4CnK8E5yvB+Spwvgqcrwbnq8H5GnC+BpyvBedrwfk6cL4OnK8H5+vB+QZwvgGcbwTnG8H5JnC+CZxvBuebwfkWrku1Xcyp92m2WpTm3dTcXzhnjUgs3Wcb12VQt4gYzi1bH7QetN0y+4acelt+h0UNBuSYn8L5wmfOxtE7uS5XpzqSdhfXZek+1yZyTrr19LnPbq5Lvsx0TvVt/z0W6fMAzmOF+JO9mAs49f78Pq5LtU/OGTO9/oAc+y0axW1t/X5wfoDrsiELGmeeLxmOFToIzg+C80MWqWrZy6nPNQ6D88Pg/IhF6fx5QjwCzo+C86Pg/Bg4PwbOj4Pz4+D8BDg/Ac5PgvOT4PwUOD8Fzk+D89Pg/Aw4PwPOz4Lzs+D8HDg/B87Pg/ML4PwCOL8Izi+C80vg/BI4vwzOL4PzK+D8Cji/Cs6vgvNr4PwaOL8Ozq+D8xvg/AY4vwnOb4LzW+D8Fji/Dc5vg/M74PwOOL8Lzu+C83vg/B44vw/O74PzB+D8ATh/CM4fgvNIcB4Jzh+B80fg/DE4fwLOn4Dzp+D8KTh/Bs459THyc4s2jeZBi7Nk2InmWV5YZp7nrMfjV86XXJfPGQBOfU7yivsPT9fbOSesb3ypyGvL+AjnynvFvpV6Y1FBBQon0xAo33JdqsGN8z5/u/I7rssrLcMvcEa150/eW/SvAoozPWNW9wPXpTon5szFWDT+aBkv4lS7aS0/gfNP4PwzOP8Mzr+gn39BP/+Kfv4V/fwb+vk39PPv6Off0c+j0M+j0c+j0c9j0M9j0M9j0c9j0c/j0M/j0M9/oJ//QD+PRz+PB+c/0c9/op//ski9vO2cgeoBJ4DzBPTzRHCeCM6T0M+TwHkyOE8G57/B+W9wngLOU8C5m2045zTnSrbhnFNznto2nHNqzt1twzmn5jyNbTjn1JyntQ3nnJrzdLbhnFNz7mEbzj1twzmn5tzLNpxzas69bcM5p+bcxzacc2rO09uGc07NeQbbcM6pOc9o43zBNpxnsg3nnJpzX9twzqk597MN55yac38b+4c2qXKKCLDNeROnWubrB9qkjzk5x/Gy3NRlk1puH3OqbbXWQTbpc3vOQ5GTkzsG28ZHOe96dcnWI8SmdgoUTqahar9Qm4arwY3Tm789OMym+SkzRyRy5lCfWDbtYhxT2Tbp82JOhY+HsKkZYzGZU7W1DI5Nql3N5EytwMtsG845dT/PYhvOOTXnWW3Tzzl1P89mm37Oqft5dtv0c05zLmibfs6p+/kftunnnLqf57RNP+fU/TyXbfo5p+7nuW3Tzzl1P89jm37Oac7RbdPPOc35lm0459Sc57fN3M6p5/Y/bcM5p+a8gG0459ScF7QN55ya80K24ZxTc17YNpwXsQ3nnOZcwjacc+qyKmYbzjk158Vtwzmn5ryEjX1i23Be0jacc2rOS9mGc079Nv6yDeecmvPStuGcU/9YGdtwzqk5L2sbzjk15+Vswzmn5vxv23DOqTmXtuGcU3NO4JzAeXlwXh6cVwDnFcB5RXBeEZxXAueVwHllcM5p/NyGn4PzquC8GjivBs6rg/Pq4LwGOK8BzsPBeTg4rwnOa4LzCHAeAc5rgfNa4Lw2OK8NzuuA8zrgvC44rwvO64FzTuPnNvzchp/b8HMbfm7Dz234uQ0/t+HnNvzchp/b8HMbfm7Dz234uQ0/t+HnNvzchp/b8HMbfm7Dz234uQ0/B+etwXkbG35uw8/BeVtw3g6ctwPn7cF5e3DeAZx3AOcdwXlHcN4JnHcC553BeWdw3gWcdwHnXcF5V3DeDZx3A+fdwXl3cN4DnPcA5z3BeU9w3guc9wLnvcF5b3DeB5z3Aed9wXk/cN4PnPcH5/3B+QBwPgCcDwTnA8H5IHA+CJz/A87/AeeDwflgcD7Ehp/b8HMbfm6buf1/XJc8fp3gVGNVxWG2mds51RhUfTjXpRp4OPW/axxhm/NjTqUTDf+1zTkO5yu+TPORXJf87aecvztyhxrFdZnMn4wC56O5LvPzKxkNzseAc07V1gaMBedjwfk4cD4O/Xw8+vl4cD4BnE8E5xPB+SRwPgmcTwbnk8H5FK5LfvnLp4DzqeB8KjifBs6ngfPp4Hw6OJ8BzmeA85ngfCY4nwXOZ4Hz2eB8NjifA87ngPO54HwuOP8PnP8HzueB83ngfD44nw/OF4DzBeB8IThfCM4XgfNF4HwxOF8MzpeA86XgfCk4XwbOl4Hz5eB8OThfAc5XgPOV4HwlOF8FzleB89XgfDU4XwPO14DzteB8LThfB87XgfP14Hw9ON8AzjeA843gfCM43wTON4HzzeB8MzjfYsPPbfi5DT+34ec2/NyGn9vwcxt+bsPPbfi5DT+34ec2/NyGn9vwcxt+bsPPbfi5DT+34ec2/NyGn3Ndqv/hgA0/t+Hn4PwgOD8Ezg+B88Pg/DA4PwLOj4Dzo+D8KDg/Bs6PgfPj4Pw4OD8Bzk+A85PgnFNti3c5Bc45iyqRO8112Zx/w2lwfsamRzyWxnOqcXPoWa5LHiOTz6Kfn0M/P2+b/XZOvd9+wTb77ZzqMWS6aNNtvr1zONuoB3iJ65Jvx0JO9Tbty+CcU72sbFe4LpVAcu7gy+S+ynWpbiSnPg+/ZlMT9Qmn/ndt17kulWhyuqmCuMF1yWPuMU41vpa/adMG1s8znMXVIH2L65J18dItzO23MbffBud3wPkdcH4XnN8F5/fA+T1wfh+c3wfnD8D5A3D+EJw/BOeR4DwSnD8C54/A+WNw/gScPwHnT8H5U3D+DJxzGj/H3P4cc/sLG35uw89t+LkNP7fh5zb83Iaf2/BzG35uw89t+LkNP7fh5zb83Iaf2/BzG35uw89t+LkNP+c5k8vzOaf+9y+fwflncP4FnH8B51/B+Vdw/g2cfwPn38H5d3AeBc6jwXk0OI8B5zHgPBacx4LzOHAeB85/gPMf4DwenMejn/8E5z/B+S/M7b/AeQLm9gTM7YmY2xMxtyeB8yTM7cmY25Mxt//G3P4bnKdgbk/B3O4m4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4uaAaX3XxOzXkWAT8X8HOBc3VhOM8mDOecmvPswnDOqTnPIQznnJrzP4ThnFNznlMYzjk157mE4ZxTc55bGM45Ned5hOGcU3OeV+DfJwjDeT5hOOfUnOcX8HNhOP9TwM+F4byAgJ8L+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5MJwXF/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPwfnBM7Lg/Py4LwCOK8AziuC84rgvBI4rwTOK4NzTuPnAn4ucH4ucH4ucH4uTD+vLkw/59T9vIYw/ZxT9/NwYfo5p+7nNYXp55y6n0cI0885dT+vJUw/59T9vLYw/ZxT9/M6wvRzTt3P6wrTzzl1P68nTD+vB87rg/P64LwBOG8AzhuC84bgvBE4bwTOG4PzxuC8CThvAs6bgvOm4LwZOG8GzpuD8xbgvAU4bwnOW4LzVuC8FThvDc5bg/M24LwNOG8LztuC83bgvB04bw/O24PzDuC8AzjvCM47gvNO4LwTOO8MzjuD8y7gvAs47wrOu4LzbuC8GzjvDs67g/MewvTzHuC8JzjvCc57CdPPe4Hz3uCcU/fzPuC8DzjvC877gfN+4Lw/OO8PzgeAc07j5+B8IDgfBM4HgfN/wPk/4HwwOB8MzocI+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5MHP7aAE/F2ZuHyPM3M5p/FyYuZ1Tz+3jhJnbx4Hz8eB8AjifAM4ngvOJ4HwSOJ8Eziejn08G51PQz6eA86ngfCo4nwbOp4Hz6eB8Ovr5DPTzGeB8Jvr5THA+C5zPQj+fjX7OafxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM/B+RZwvlXAz8H5NnDOafxcwM/B+Q4BPxfwcwE/F/BzAT8X8HMBPxfwc/TzvQJ+LuDnAn4u4OcCfi7g5wJ+LuDn4PwgOD8Ezg+B88Pg/DA4PwLOj4Dzo+D8KDg/Bs6PgfPj4Pw4OD8Bzk+A85Po5yfRz0+hn59CPz+Nfn4a/fwM+vkZcH4W/fws5vZzmNvPYW4/j7n9Aub2C5jbL2Juv4i5/RI4v4S5/TI4v4y5/Qrm9iuY269ibr+Kuf0a5vZr4Pw6OL+Ouf0GOL+Buf0m5vab4PwWOL8Fzm+D89vg/A44vwPO74Lzu+D8Hji/B87vg/P74PwBOH8Azh+C84fgPBKcR4LzR+D8ETh/DM6fgPMn4PwpOH8Kzp+B82fo58/Rz5+jn79AP3+Bfv4S/fwl+vkr9PNX6Oev0c9fo5+/QT9/g37+Fv38Lfr5O/Tzd+jn79HP36Off0A//4B+/hH9/CP6+Sf080/o55/B+Wdw/gWcfwHnX8H5V3D+DZx/A+ffwfl39PMo9PNo9PNo9PMY9PMY9PNY9PNY9PM49PM49PMf6Oc/0M/j0c/j0c9/op//RD//hbn9F+b2BMztCZjbEzG3J2JuT8LcnoS5PRlzezLm9t+Y239jbk/B3J6Cud3NgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/dwzngY7hnFNz7nIM55ya8yAHfu4YzoMdwzmn5jzEwd+VOobzUMdwzqk5D3MM55yac8sxnHNqzm3HcC4cwzmn5txxDOec+u1mdnB+7uD83DH9nFP386wOzs8dnJ87OD93cH7u4Pzcwfm5g/NzB+fnDs7PHZyfOzg/d3B+7uD83MH5uYPzcwfn5w7Ozx2cnzs4P3dwfu7g/NzB+bkDP3dwfu7Azx2cnzvwcwd+7sDPHfi5Az934OcO/NyBnzvwcwd+7sDPHfi5g/NzB37uwM8d+LkDP3fg5w783IGfO/BzB37uwM8d+LkDP3fg5w783IGfO/BzB37uwM8d+Dnfz4NVntaUDvzcgZ+Dc07996rlwXl5cF4BnHPqv7epCM4rgvNKjvn7UE799yCV+X52f301tjI4rwLOq4DzquC8GjivBs6rg/Pq4LwGOK8BzsPBeTg4rwnOa4LzCHAeAc5rgfNa4Lw2OK8NzuuA8zrgvC44rwvO64FzTnN+7uD8HJw3AOcNwHlDcN4QnDdycH4OzhuD88bgvAk4bwLOm4LzpuC8GThvBs6bg/Pm4LwFOG8JzluC81bgvBU4bw3OW4PzNuC8DThvC87bgvN24LwdOG8PztuD8w7gvAM47wjOO4LzTuCc8/8z9yD+</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="200">
              <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>eJzt0jEOwjAMAMA+gafwhGzlB8xMXRiRWGHjmTwFibSV4hJVKQtId4sV23JSq10HAPAL+vQO6ZTK/DHFzqJ/qj/POe6uOd4eY33IcX/J8XAvz/P84fP987n2jlZrc/qyvthHpW+Rr9VbxTlb99D43avnmG99Z6xv3Vf4D7+eBwAAAAAAAAAAAAAAAAAA/+UF+wcZDg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=220.083 Q3=59.200 sample=4 experiment=1 RT=2.81 ce=-45.00 name=N-acetylglucosamine" defaultArrayLength="2264" 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="13172">
              <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>eJzt0TEKwkAQBVCPZGmZxiNYW6WxEQQRBNHGXrERvIxH8QAewmJ3AptEI2L5XvOZTSazuxmNAIB+0+qrvM+roq2alfXg99/NG9CeMzj33Tmiv071eJfyeU45ueX6kvJ6SlkdUz42ZR4WKdv30p7b7DfquuyL+metObGvTl2X653Mzx/LXK/LbM6fn59W/etxr9EX8zt9yzKb+4h5+/z+9vM+oq/zHwAAAAAAAAAAAAAAAAAAAP7nBe3JRow=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=227.202 Q3=227.202 sample=4 experiment=1 RT=0.57 ce=-10.00 name=C14:0_myristic_acid" defaultArrayLength="2264" 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="13172">
              <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>eJzt0D1OAkEAhuE1EhFCQ2KipUegw3KtPAANR+AIliY2FBRQEjoqChI5BsfQRreEbmNhCPtdwYLieZo3M5m/TFHAZSnvjuW51bB4Pnf/nR76100fp62m9TJ9/U3HL+2mm4/btNfJulXG+1XGn910Psr8dJ19T+/pw0/my0U6uc/6anGTc+vcN+im86+rprtZ3vm2/Sv/+08AAAAAAAAAAAAAAAAAAAAA4BKdAKcDI2A=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=239.017 Q3=119.900 sample=4 experiment=1 RT=5.34 ce=-15.00 name=L-cystine" defaultArrayLength="2264" 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="13172">
              <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>eJztzz0vQ2EYh/EzdLCIWJqIj2BgMndhkOpgIBqzVSwiJiIkJtKhQdKNRNDqm4i08RJKG+JdYpAYpFvTQUgnjej9Nzw+Acn1W67cz3Ofc1rPAwAAAADgbwhEHwPfnV65b9RbuLMOqge3jQZWb2wuXNv+wJV188JaKtn9Z9FaK9h5z7nVf2otH9t9/MjmRc3th2771Xpe86++56wnanDfWt6zTu1aM1lrk85HNVcy1pD2XtPWtOY27S2rEynrm56LZd3nfTqPaK9L85CaU2tJ6+W2uz+n769rr6q5VX1SP7QfS7nn3Un3fWtJ9/8WE9b6jnVS933a79A8rPf16vfN6rxTezPqi3qm+7De36L5Wd8Z155fc7PmcNy6lHC/M6bvP+i+rvu0Wt3S79N+UO8N6b6ic586r/MR/Z+Nn/fquajeF9E5AAAAAAAAAAAAAAAAAAAAAAAAAPwDXymTl9s=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=241.217 Q3=241.217 sample=4 experiment=1 RT=0.56 ce=-10.00 name=C15:0_pentadecanoic_acid" defaultArrayLength="2264" 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="13172">
              <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>eJzt0C1uQkEUgNHHj2AZsANwKAIroLJ1VECQyDrwIDAEU/F2UYtsgkEiUQ0SCbQ0hLlbQEByjvkyM8nMzWQZPJbq4qd9a+/znJqXopvub7QR6/n4knqY/qeuhoVOaqOY+jGLZq/R/bqUuv2LDt/KqfWvOJ/3Y785iPX3e3S3jHsnzXgvP8YcL7V491CJeUatU/tOXwAAAAAAAAAAAAAAAAAAAAAAT+EKDzUqFw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=243.062 Q3=110.000 sample=4 experiment=1 RT=1.85 ce=-30.00 name=Uridine" defaultArrayLength="2264" 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="13172">
              <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>eJwtm2VgFckShQMBYkjsxmZ60MUXt0W2C5cQ3N3dbYEHLO4Oi7u7u7u7E9xdYgQi5FV3n/w52SQ7uXemvq76uklt6/2eUbXC5ahnC199i2ohtz1oPai200kuPhmdsO50T1np7in5755+8lD19KnzTRgkCx9reOZe06Ey7/cy/ZPKjZCpDt5vUW3RaJnfOj3pbvrxstHwbfva/TtJVvj7/cMtCVNlyRtd3ZeWmClr6l8wS1pDig6fNGWenFS+zZsb2RbLn17TIkIOLZe9io3cT6NXyeev/qo2MNdaGTx7XYMlwzfISVP2lWvw5xZZ80uRD48jt8scERtLJX7fKVdnP5g0IXa3HDtk1e9pdfbJae6n2g7bfEDOm/biTLd0h2XZo/XmZZ1+VLZ8XMV9sM8JmVIl9+r9HU/KlTu9KsYfPyUr2p9elgg7I3+t6Lz7Y/+zcrFP9fp5r52TeVrMOBWX+4K8fK5Pu+JjLsqeheulHvjkksy0pOiqPSWvyJ3pXBViZ12V9fv+eFH08zWZ8OXTib+y35Dhqx/PbHrjhlzS5GqbIcNvyvhF6oK3ZLU6SSH979+SC9N+eT977G2Zpf3XZhX+viN3RJR7szn+jqRSU3u7dt6VN7M9+jWi2z3ZeOTj7gVy3Jfvu+X7Mf/JfTm44dCRqeY/kF500bt7nYdyYd6Q/+54RcosE0M9xp6OlDv6dZn1Zdgj3OfH8vyhA9PSfX8sm6z1COmz8Yl8P6PRqoftnspeXxoHTrKfyZT765ZF330mq70YGrit6nO5UrSc/X3TczlwTkiaRhlfyGvXE0Yt6PtC5kr/JCXyzgs5strx4aLUS/lw7MrE1otfyiInx/AdfynTlZSfPNq9kq37Z+1a4+wrWWnH/DnlCr6Wa3K+21l/4Ws5sb26829kzxW305Xu+UZeDcr+R537b+Su+gtrVyz/Vvpfet+z6ea3Mj5d6wU1Xe/ko4qq0N7JModyvGj44Z3Mom/gezmy58c8rY++lx03tWlQL9cHWePdvRGVZ32Q+W724CfzUc4elYcr8aP8Vfjttj9ef5StX67qmanhJ3luduv8v85+kn/qB/1Zzol5sPHK+s8yYfV/XfaFfJFt+WorJn2R59Nkejsp4Yvc+HXNgnndv8qJ45rdPvLqq+yzsWXOpc2/yftNw96Mv/JNrvypfsF32YirP6zjd3k49etW/Vd+l/xwIjve+i5/REwokybxu/QbOdt1L0uUvD3/QJdHFaNkvZqXi0d3ipJzSqeKGDstSj7hKpm+LUryTXs44XqUbDq+1L2zX6Jk9VObb7mnj5alfzvXy+eNljcyb620u3K03FJ+nO/wDtHmfo6Jlh3HFd/guypall+fYUDkiWgpLr6Ra55Fy7K1bs5q8TtahqgXLmJk7Cx1Y2Lkjd1N4w42i5Fb7xbmJxcjGYqBfRfHyFM3krdHHI2RSRujbkW8jJHFx7yJi/CIlb1bPAyplT9Wflrw/GTZurEyR787r8sOipWtwi94lFscKyMnXN+R70SsDGh7+na+N7EyovT+H/m84+SQDzkLe+aPk+30heLkjNfRmW/1jpO3ahRrPnVunHTtHDivysE4GbRndbj/0zjZTN3W1D/AyQ9ZWBV2gx+y2/zq/IR/yDXqMW38IZ/OmcBP5Ie8W2DOta3JP2TGP3ct/ZYrXqa9cPRthXrxUp57vHfssHg55Ezi2HPr4uWuU2ENPG/Gy89MZY3EeJnzeJPoKX/8lK2P/nPyau2fslGTMd5Zh/6UnjGVkq2VP+VBpiXowk/ZLfeFl37ffsqHavkL+iUnJ5SsEFrul8zhXv/5P51+yQ7qhc/+JdfmcXXOfOyXfFN2UN6YD79knayVMoeGJMhB+gUlyCUfwlvs6Zkgvywrm//OogT5d4M/k2LOJ8gZXs6VgLgE+fxYxiVFsyXKwgNSutevnSjPTFULV6JUq8qojYmyU/zrtivvJcr9W/iBuSdJz3bnUr0olCSbBu+/6dYqSW66sn5llilJUq0eBQ4kyemLlpyv9SZJPqs9bX4v/2TZ+3IzEVA2WR59FSgudkyWEQqIGcnS/69u/ZzDydL3w/7t7u+SpV7W/X/L03G5W8yo8FvyTTrepN9v8/pW/ZaZGvqkJN38LQfowkyRF08E/lz6V4p8dKf+saG9U2Rv/zEnLq1MkZV3n63mdSdF9hg8dG1+dzc6QKNfng9xI1Gqc6WuBd3oBVdRShU3WhPu3+q/Vm7U+e67bvkGuVFe9UCmudHGi0M+N1jnRrqMj7nR2pefT3d+4EaH+3ZsXyrKjQI7RE2M90pFV9b07348WypS1TWhTCoKyVk/7ep6qchLLeDdUpGup9GpaOO/2efeXJyKGhVt0urZnlTUdsjw2y+upaJLGdQKnIqu/T1sfMtUqWlSvGo8qekN3+1iBVPTirCCT3JUSU1JY8/lTN8yNQXeqPTg+wD+ua27i12alpoUFlvWpaab+yZsGnc8NXFT6NXiYWpKt+7EtytRqalz17lWER93Muu3O4V57xp8pow76fqt7056ne3mTvp+j3anCrr9udPJSysr79vtTi/edk6mK+5kF/GJvPnGnXQfTXGnokOb3/sYkoZ6nv29639F0pB+HDXTEH0tHjy7Uxp6cPnisuBRaUivV4vTkOeEqK3Z9qWhFR14obiRhrZ02nHk2Ic0dJBXo7up09LZbukuf7LS0hOm5kbRtFS/9q+PR8PT0j21PLRLS/vb/fuw3JC09Fflqv1+zUhLh3Nl8tm7Li3pvnY0LTll/vtV7E5aUtX762NaGl2LB4hU6ShN4Vcj+4Sko1drF5/JUigdnWxV68eRaulIt6226cg+t3/yg6Hp6OepDpvazE1Hg/paGZ5vTUf1el3I3+V8OirQfWDN78/TkV52E9ORT9aECycCPajH66uxfxTwIN3Xq3jQiRJxc7e38qCPzzw7xg7yoISm0rfodA/yVAvfOg9aFni737QjHqTr+5YHZei7Zcqj9x7ElC5IneJBw66OW5PH5Um6/+TzJEXNGPKkLbz6HmjgSfxmh5zv6mnqcYQn6WVhjidxs9jxYqMn6fXpmCdtnc5A3/Yk3VfeeZr3l+BJ+vZn9KJoe82hOdm8aNm39efCS3rhuXkRv/qnh9t4kZ6rBnjRHNe9FRUmetHpbW4H7y/xovl7S+ccvMOLuh0ZMCfkjJeiacHhe170q5Ff884fvMhveIc23klepKaZrRm9aXlwqtxNs3rTfp6Skop607X264ssr+JN6mUHNPMmPQ/08abN7Ud7xIz1Jpe6PQu9qc3ioZcab8fXz3hTfL7JlaZHetP4gM2h+b95k+HeB5z40NK1dflJ+dCPfrveVSYf8/7r+1C6FnxHOvuQWl6vD/WhoMrZqkZM9yE1Bd1e6UOfF2f8x3OfD4WP2Pk6+LIP8dDAC5oP+Tb5a8+FHz6kVttuGdLTsLIeG7/mSE9ZM8f2aFQuPXXhqWxvw/SUYd79kqJXeuLhjMlNT2X6XJt4a1l6ejaPb9SB9JS997qCfW+mpwN3uEF8SU+zuL0W8MpA3Z72nTw9Rwaq0D5g/FeZgfSY2zwD8dWHbxuUgfR8MScDbb5+t9Hn7RnI9PkM1LZIw0J5P2SgwW9//q+sR0ZSU1vjPzKSwjmxUkbKG9M194V2GSlctbWRGUnPh0sz0owC1Qc3PJSRduZjMu9npNu5S3YIis1IcX8UiPzhm4lCnuVt9yl/JlJlUjo8E3G1t1nWJRP9wdNOqvH837nO7mmxOhNVO1K7S49TmSisbqQ17EUmc7/dfKmleqN+vhTDU7nI5ktN1YMr6kvfRi9eHlfRl9QY0bOBL5l5wZf0fDzAl5iuqvPH+tJxtazP9SWXHhh8KWEEV9huX9p+cGaxtad8Sa1ekTd96SFPSSuf+9JX389vOnzzpaLLx4/O/9uX/vmTn0x6PzpymD8sP3KrwZ00rx/dydcx9GUpPxpTsOY67yp+lCY9P4n6frRqRvqao1r7UZ/Sj7M+6O5Hul8N9qPHXdx6jxrrR0M/N3h7e6YfrT8tRh9dwtdZ9Fas3+BHqfrxK9rjRwX5dg494UctspSPan/Fz9ThA/65gdwZXvmRWrZ8vvpRM37c1X/60dwtO9K5UvuTmff9qTHj0jXQn+pWUR3RnyyeCqrm9KfKqmEW8Ce17FQt6U9d9eDpbziu6k96bqntT8ouHjX2p/G8WnRu7U+j+1eZ+6OTP9VWhdTLn8I/pinmN8ifroWqB+VP2dTHaH9apzCZ6I91yZ+GK4GZ60/Gk/yp4ckNa2qt8KcH32NrNF3nTzykzm69xZ925OYOvcvfrKMH/GlCm4K5/nfM39yvM/w6vv7b8+NFf8PtdX+zPt7xJ7Vc5Ynkr6sLPfM3dfqav16SV9qP/qTnnm/8dbaeEnH+tOfCoGPLE/jrvDx7ugVQxU7lyxxKE2DWF68A2laVxSBjAM1R47N/AGl/CQ6goSU2/93YCiB9uzIHUIa8Y99nzx5A/C4zeuYKMP0tbwDddlcFEEBpPx56cqBIABkvCaAFT7gRlg6gS6crbO36dwDpubNCABWYueJn4SoBNGPppWFhNQJI60VEAGWftTrnu7r839xd45sEmNfbJoDyq0LpzNcpcmZngV4BpOxHDgwgj+9B1eoMCzD1MSaA9Ng6OYDUy5swi9/XrJK35y8IoGHBj5O2LA+gsRlqb5+7NoC6cztcvC2ACqaus+vUoQCKTb4z+MO5AHqf5e7SwNsBtMVu1qHMM7y+j3xd1QBjA6jR8s1bH6QE0F9ZeOX3DqRvAWGLCwUGktYuEUgtEl2Vs+UKJH/zDbMelw6kEfcynZlaMZD0WBMRSHpsaRRINx8owQqkCVdGDxrQNZDKnRgZ/qVfIMXsHpGl07BA2rR+WNzTcYGk7LTFjECqsi8m+c6CQHMfVwUST8Xrz20ONPdjbyBlHvep7oFjgZRGDQIXAunwnHbNtt0MpL6qsB4FUq7/tUqz4nUgqSkm5GsgzeVvz4oPJIW1dyqX4dvbRW87XJ/iFugy/V+4SPtMThdpHy3kouNFzz979ZfLrF8VXaT3AWq6yK8EG3gjF53PU3r25dYuGqEHQhcVU9/o5yKFT4lhLtJeNc5FjT8XPJxrhotUG1izwGXWuVUu0l622UXa6/a6qDJP7VOPuSjxeyiP3C7irhI+4qaLujxwZYmPdJGasnu/dtH1rcmTs0W56N8Z77LcTXZRob48uXkH0fN6h2uWDg6iWcV40sweROWDZgxeXiiItA+VC6L+armtEUQ8RT7a1SjI1FP7IBrXWD3ZICr+l6qEIHobpjYygmheUruLBecFUdWnNfklBpGibO72INrAU3rVI0Gk9xMuBBEPVU023A2iyZnbf232MogSW/BEFx1E3Rf9s2SVezA9vj+qf5XAYIpwTa3xMUcw6e2L4sGk7HhqjWBK9TS11+TWwaQwbN43mMrxVJ17TLCpx7nBtOHToFeX1gXT0wO7Ci85EGzm0DPBdLMqT6jXgyk8U6Hn9R4Fk9LXN2+D6e9lYxr8Ex1MBzpyJ/8dTIX/vH9hsVcIbY51cy/gCqE/juQtdyJLCBkfDKEP2VmESoYQN7Fp/SqG0ONdjc6nqR1CenuiWQhdL7+pTJ5OIVTdS92xEHM/h4dQ2QW5Pj6bGEL7WtfN0W9uCBXUhReC5xpC2fddu5V7fwj1VAPvqRAzP1wLoZncPp49DCF9uTchNIbbnHtUCF0tw6KbFEJVeZXP4Rlq5ueAUOIq+7da5lDaw7obmTeUVLvqUSKU1r+vViClfChlVRslEaGkbnf2pqEUqMSxQyhNZ/2r1ieUPNRC/r9QGvVfxSk9JoSa5zM71NTbslA6fqbyI2dTqNmu2RtKeh/jZKip9yuh8JZQyrwp6PevV6G0sC//6LdQClGDT3wozc/BN9QtjKr8MTD1Is8wUuN8tG8YVVaNIDSM1Gq2OmsYVZrS411injA6zWNygyJh1I81aGfpMIr6W+1chVFfNUiEh9H3KB4w64eR9r0WYfRNbV90CKNeaoHpEUZCFf7AMMPt8DDjFePCSO9zTQ8z6868MDPnLgsjvc2zPowuLDg8b+b2MOLpP9OH/WF0PrzkpPIn8LovhJl55kYYaX19GEaxalvlRZjh5mMYaY+MDqNdapvtRxit2PZoWr7EMNOfUsLM/XG36GmuYiXaelp09Qp/pLeIq55XBIv0NoPLotJq4yjMItXmezmW8ZdslpnLclnUecos/w35LMrptb1GpkIWqbczqJhleOB027dx/bDiFqndxRRO/X5LWLSBl9G0JS0qrsSSU2+7lLKoTkVeCTifRG7nTmxRN3UhTr0/WdqicWr7i1N7dBmLlt/gBZvzTx6vcpS16FDK3o3rOavqB22R3q/g1PPT35bxFs4INaBLix51vHVwL2cXtr5SZBkv4ByT34n6u7xFvmpjgJNlyFW5gmXmTs4DanysaJHGhJOv0rpuJYvaMF53OPW8WtkihWUk55i61ZeOrMLXU95fla83Muep8Zz51DZiNb7edvd3UzmD9EBskdKK6ZyFat857lfDomNvK9yay6nn93CL1DK7iLOTEoCaFultFE6tvREWZRwQSes5dZ3VsoyncO5jrSlU26KKt+ZO3s2px4I6FrVSAx+n2W/i56t+MafZ37HMHMJp9gMteIdFZdTlGlikfuwWZ0P9YdErhSFnn7FFhjZvZJHC9ynnlN2ZlrdtbBkeOTWvTSzj15wn/JQQ8vNR28uc/C4yDGhmmb7CGddbXdAitqVKyZy+fLWRLfh+luB30pKfj95YsMx62soy6waneruZWlum/jm/8MtzteHnw792Aafeh2pr0X+T1Qu0zBzZzjJzOade59tbpLdLOfW63oHrndveTk41LhfraJHZ3+Z6f8pi1InrXW1IcaptQurM9a7fMNe72o7pYpF6vJc4n6jH1pXr3V29E4v0be5mkXq39zi1J3fnem+rfrNl5tUeXO/88l5yVlW/tqdF6nLvOdupH+tl0bev/MGpdlv69bbIWzdmy/htH4v0Pj6n7t99LZL6By1SPzWWU/tNf4vecflN5hygH4hl/IBT76cNtMjmxzuPUz220EGWmTc5z/BtzvKPRer2rebUvjjYoh78djdyqreRfwjX5dhhN3Zz6m3ioVyXar+UU/1Yqf9Zxnc4q2sBtYif2vOTnB1UIQy3KEqNIZwajxEWpVc/yLlQlfO/vD6pgubco8pvpEV635ZTl8soi1QZPOf8oB7vaIv0PiKnfhxjLDOncOrbN9aCx1v0l3q74yzS+9ycxo8ts9/G2UtdboJl5qSJFk2aqD7A+SRwPgmcTwbnk8H5FHA+BZxPBedTwfk0cD4NnE8H59PB+QxwPgOczwTnM8H5LHA+C5zPBuezwfkccD4HnM8F53PB+X/g/D9wPg+czwPn88H5fHC+AJwvAOcLwflCcL4InC8C54vB+WJwvgScLwXnS8H5MnC+DJwvB+fLwfkKcL4CnK8E5yvB+Spwvgqcrwbnq8H5GnC+BpyvBedrwfk6cL4OnK8H5+vB+QZwvgGcbwTnG8H5JnC+CZxvBuebwfkWrku1Xcyp92m2WpTm3dTcXzhnjUgs3Wcb12VQt4gYzi1bH7QetN0y+4acelt+h0UNBuSYn8L5wmfOxtE7uS5XpzqSdhfXZek+1yZyTrr19LnPbq5Lvsx0TvVt/z0W6fMAzmOF+JO9mAs49f78Pq5LtU/OGTO9/oAc+y0axW1t/X5wfoDrsiELGmeeLxmOFToIzg+C80MWqWrZy6nPNQ6D88Pg/IhF6fx5QjwCzo+C86Pg/Bg4PwbOj4Pz4+D8BDg/Ac5PgvOT4PwUOD8Fzk+D89Pg/Aw4PwPOz4Lzs+D8HDg/B87Pg/ML4PwCOL8Izi+C80vg/BI4vwzOL4PzK+D8Cji/Cs6vgvNr4PwaOL8Ozq+D8xvg/AY4vwnOb4LzW+D8Fji/Dc5vg/M74PwOOL8Lzu+C83vg/B44vw/O74PzB+D8ATh/CM4fgvNIcB4Jzh+B80fg/DE4fwLOn4Dzp+D8KTh/Bs459THyc4s2jeZBi7Nk2InmWV5YZp7nrMfjV86XXJfPGQBOfU7yivsPT9fbOSesb3ypyGvL+AjnynvFvpV6Y1FBBQon0xAo33JdqsGN8z5/u/I7rssrLcMvcEa150/eW/SvAoozPWNW9wPXpTon5szFWDT+aBkv4lS7aS0/gfNP4PwzOP8Mzr+gn39BP/+Kfv4V/fwb+vk39PPv6Off0c+j0M+j0c+j0c9j0M9j0M9j0c9j0c/j0M/j0M9/oJ//QD+PRz+PB+c/0c9/op//ski9vO2cgeoBJ4DzBPTzRHCeCM6T0M+TwHkyOE8G57/B+W9wngLOU8C5m2045zTnSrbhnFNznto2nHNqzt1twzmn5jyNbTjn1JyntQ3nnJrzdLbhnFNz7mEbzj1twzmn5tzLNpxzas69bcM5p+bcxzacc2rO09uGc07NeQbbcM6pOc9o43zBNpxnsg3nnJpzX9twzqk597MN55yac38b+4c2qXKKCLDNeROnWubrB9qkjzk5x/Gy3NRlk1puH3OqbbXWQTbpc3vOQ5GTkzsG28ZHOe96dcnWI8SmdgoUTqahar9Qm4arwY3Tm789OMym+SkzRyRy5lCfWDbtYhxT2Tbp82JOhY+HsKkZYzGZU7W1DI5Nql3N5EytwMtsG845dT/PYhvOOTXnWW3Tzzl1P89mm37Oqft5dtv0c05zLmibfs6p+/kftunnnLqf57RNP+fU/TyXbfo5p+7nuW3Tzzl1P89jm37Oac7RbdPPOc35lm0459Sc57fN3M6p5/Y/bcM5p+a8gG0459ScF7QN55ya80K24ZxTc17YNpwXsQ3nnOZcwjacc+qyKmYbzjk158Vtwzmn5ryEjX1i23Be0jacc2rOS9mGc079Nv6yDeecmvPStuGcU/9YGdtwzqk5L2sbzjk15+Vswzmn5vxv23DOqTmXtuGcU3NO4JzAeXlwXh6cVwDnFcB5RXBeEZxXAueVwHllcM5p/NyGn4PzquC8GjivBs6rg/Pq4LwGOK8BzsPBeTg4rwnOa4LzCHAeAc5rgfNa4Lw2OK8NzuuA8zrgvC44rwvO64FzTuPnNvzchp/b8HMbfm7Dz234uQ0/t+HnNvzchp/b8HMbfm7Dz234uQ0/t+HnNvzchp/b8HMbfm7Dz234uQ0/B+etwXkbG35uw8/BeVtw3g6ctwPn7cF5e3DeAZx3AOcdwXlHcN4JnHcC553BeWdw3gWcdwHnXcF5V3DeDZx3A+fdwXl3cN4DnPcA5z3BeU9w3guc9wLnvcF5b3DeB5z3Aed9wXk/cN4PnPcH5/3B+QBwPgCcDwTnA8H5IHA+CJz/A87/AeeDwflgcD7Ehp/b8HMbfm6buf1/XJc8fp3gVGNVxWG2mds51RhUfTjXpRp4OPW/axxhm/NjTqUTDf+1zTkO5yu+TPORXJf87aecvztyhxrFdZnMn4wC56O5LvPzKxkNzseAc07V1gaMBedjwfk4cD4O/Xw8+vl4cD4BnE8E5xPB+SRwPgmcTwbnk8H5FK5LfvnLp4DzqeB8KjifBs6ngfPp4Hw6OJ8BzmeA85ngfCY4nwXOZ4Hz2eB8NjifA87ngPO54HwuOP8PnP8HzueB83ngfD44nw/OF4DzBeB8IThfCM4XgfNF4HwxOF8MzpeA86XgfCk4XwbOl4Hz5eB8OThfAc5XgPOV4HwlOF8FzleB89XgfDU4XwPO14DzteB8LThfB87XgfP14Hw9ON8AzjeA843gfCM43wTON4HzzeB8MzjfYsPPbfi5DT+34ec2/NyGn9vwcxt+bsPPbfi5DT+34ec2/NyGn9vwcxt+bsPPbfi5DT+34ec2/NyGn3Ndqv/hgA0/t+Hn4PwgOD8Ezg+B88Pg/DA4PwLOj4Dzo+D8KDg/Bs6PgfPj4Pw4OD8Bzk+A85PgnFNti3c5Bc45iyqRO8112Zx/w2lwfsamRzyWxnOqcXPoWa5LHiOTz6Kfn0M/P2+b/XZOvd9+wTb77ZzqMWS6aNNtvr1zONuoB3iJ65Jvx0JO9Tbty+CcU72sbFe4LpVAcu7gy+S+ynWpbiSnPg+/ZlMT9Qmn/ndt17kulWhyuqmCuMF1yWPuMU41vpa/adMG1s8znMXVIH2L65J18dItzO23MbffBud3wPkdcH4XnN8F5/fA+T1wfh+c3wfnD8D5A3D+EJw/BOeR4DwSnD8C54/A+WNw/gScPwHnT8H5U3D+DJxzGj/H3P4cc/sLG35uw89t+LkNP7fh5zb83Iaf2/BzG35uw89t+LkNP7fh5zb83Iaf2/BzG35uw89t+LkNP+c5k8vzOaf+9y+fwflncP4FnH8B51/B+Vdw/g2cfwPn38H5d3AeBc6jwXk0OI8B5zHgPBacx4LzOHAeB85/gPMf4DwenMejn/8E5z/B+S/M7b/AeQLm9gTM7YmY2xMxtyeB8yTM7cmY25Mxt//G3P4bnKdgbk/B3O4m4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4uaAaX3XxOzXkWAT8X8HOBc3VhOM8mDOecmvPswnDOqTnPIQznnJrzP4ThnFNznlMYzjk157mE4ZxTc55bGM45Ned5hOGcU3OeV+DfJwjDeT5hOOfUnOcX8HNhOP9TwM+F4byAgJ8L+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5MJwXF/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPwfnBM7Lg/Py4LwCOK8AziuC84rgvBI4rwTOK4NzTuPnAn4ucH4ucH4ucH4uTD+vLkw/59T9vIYw/ZxT9/NwYfo5p+7nNYXp55y6n0cI0885dT+vJUw/59T9vLYw/ZxT9/M6wvRzTt3P6wrTzzl1P68nTD+vB87rg/P64LwBOG8AzhuC84bgvBE4bwTOG4PzxuC8CThvAs6bgvOm4LwZOG8GzpuD8xbgvAU4bwnOW4LzVuC8FThvDc5bg/M24LwNOG8LztuC83bgvB04bw/O24PzDuC8AzjvCM47gvNO4LwTOO8MzjuD8y7gvAs47wrOu4LzbuC8GzjvDs67g/MewvTzHuC8JzjvCc57CdPPe4Hz3uCcU/fzPuC8DzjvC877gfN+4Lw/OO8PzgeAc07j5+B8IDgfBM4HgfN/wPk/4HwwOB8MzocI+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5MHP7aAE/F2ZuHyPM3M5p/FyYuZ1Tz+3jhJnbx4Hz8eB8AjifAM4ngvOJ4HwSOJ8Eziejn08G51PQz6eA86ngfCo4nwbOp4Hz6eB8Ovr5DPTzGeB8Jvr5THA+C5zPQj+fjX7OafxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM/B+RZwvlXAz8H5NnDOafxcwM/B+Q4BPxfwcwE/F/BzAT8X8HMBPxfwc/TzvQJ+LuDnAn4u4OcCfi7g5wJ+LuDn4PwgOD8Ezg+B88Pg/DA4PwLOj4Dzo+D8KDg/Bs6PgfPj4Pw4OD8Bzk+A85Po5yfRz0+hn59CPz+Nfn4a/fwM+vkZcH4W/fws5vZzmNvPYW4/j7n9Aub2C5jbL2Juv4i5/RI4v4S5/TI4v4y5/Qrm9iuY269ibr+Kuf0a5vZr4Pw6OL+Ouf0GOL+Buf0m5vab4PwWOL8Fzm+D89vg/A44vwPO74Lzu+D8Hji/B87vg/P74PwBOH8Azh+C84fgPBKcR4LzR+D8ETh/DM6fgPMn4PwpOH8Kzp+B82fo58/Rz5+jn79AP3+Bfv4S/fwl+vkr9PNX6Oev0c9fo5+/QT9/g37+Fv38Lfr5O/Tzd+jn79HP36Off0A//4B+/hH9/CP6+Sf080/o55/B+Wdw/gWcfwHnX8H5V3D+DZx/A+ffwfl39PMo9PNo9PNo9PMY9PMY9PNY9PNY9PM49PM49PMf6Oc/0M/j0c/j0c9/op//RD//hbn9F+b2BMztCZjbEzG3J2JuT8LcnoS5PRlzezLm9t+Y239jbk/B3J6Cud3NgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/dwzngY7hnFNz7nIM55ya8yAHfu4YzoMdwzmn5jzEwd+VOobzUMdwzqk5D3MM55yac8sxnHNqzm3HcC4cwzmn5txxDOec+u1mdnB+7uD83DH9nFP386wOzs8dnJ87OD93cH7u4Pzcwfm5g/NzB+fnDs7PHZyfOzg/d3B+7uD83MH5uYPzcwfn5w7Ozx2cnzs4P3dwfu7g/NzB+bkDP3dwfu7Azx2cnzvwcwd+7sDPHfi5Az934OcO/NyBnzvwcwd+7sDPHfi5g/NzB37uwM8d+LkDP3fg5w783IGfO/BzB37uwM8d+LkDP3fg5w783IGfO/BzB37uwM8d+Dnfz4NVntaUDvzcgZ+Dc07996rlwXl5cF4BnHPqv7epCM4rgvNKjvn7UE799yCV+X52f301tjI4rwLOq4DzquC8GjivBs6rg/Pq4LwGOK8BzsPBeTg4rwnOa4LzCHAeAc5rgfNa4Lw2OK8NzuuA8zrgvC44rwvO64FzTnN+7uD8HJw3AOcNwHlDcN4QnDdycH4OzhuD88bgvAk4bwLOm4LzpuC8GThvBs6bg/Pm4LwFOG8JzluC81bgvBU4bw3OW4PzNuC8DThvC87bgvN24LwdOG8PztuD8w7gvAM47wjOO4LzTuCc8/8z9yD+</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>eJzt0j0vQ1Ecx/FraRqTlO59AV6A5C7XZOhisDFoIjFIBOmEobwA1NAY2a5dhETiGhjFKjF0ZsBk8RTnd/43uaetzeT7Wb7pueehvadRBAB/KU7Uhm89+XV6a0bPk9libdzW23i+XxyMh+eH5/rx7mKwf9z/c88+jQHjA87t+b6m3n/eSlNNd9T1VL06d21N3brWXruuSfLsOvL45Zq1y5M/nXuruI5dj7qmnarrw6XGp6vDrtHQp/YZf9L+d/c67+NG3T1VJ07U7FgtHam1jvrue7CnNttqeUu92FdfNtWzbfVw2f/+DXV+wb+X1eL8fN6Sau/J3puty9aKz/P/lV9n9273aOtsnjWfF96j3T8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP/bNyGCXBI=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=255.233 Q3=255.233 sample=4 experiment=1 RT=0.55 ce=-10.00 name=C16:0_palmitic_acid" defaultArrayLength="2264" 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="13172">
              <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>eJztzrFKAlAUgGEHd0Fw0cXJQTEylJAysLGxVpd8gl4jGtwEh2gIbGhsbnAvaHCQJh/ASZycwnNeIvD7lp97OAduoQD/y2hXGR5afGxGV78n0dLpWbR+341Wv8+ji6/sz00/uny+yL5cRpvlq+i8NoiOZzlvTPL9fpv7n095f/eWLb5m9x+96PShE92s29HtrhW93uc/AQAAAAAAAAAAAAAAAAAAAODY/AGUDiOA</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=259.022 Q3=78.800 sample=4 experiment=1 RT=4.46 ce=-45.00 name=D-fructose-6-phosphate" defaultArrayLength="2264" 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="13172">
              <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>eJzt0jFuwkAQhWEfJQfIEVy4oXNDkQIphSMUgSIUoUQRCCTk3MBH4AgcwSXHyFEodt5KM7EDoknzf81odmd2xwtFAQAAAOB/PVY+L6uhqtv7762/dk7cH8stthPL7Xva2u//+s7YZ0Zz9asvnh+jWF8/9X353Mbn+VytP/v+Yp3icW75zPI336f6/iXFn2WK1VOKzWuKDwu7Z+X7ta9c9+S5ah9zXTm8r3l1f5z79GHzbOz+L5vbvrfbW9/W6nd23nuK52+/rv7qMLzeffp74++hefVuWtc8yuN76r0VY11+L71T+L8BAAAAAAAAAAAAAAAAAAAAAAAAAIA/XQBWUVQk</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=263.104 Q3=145.000 sample=4 experiment=1 RT=2.43 ce=-15.00 name=α-N-phenylacetyl-L-glutamine" defaultArrayLength="2264" 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="13172">
              <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>eJzt0qFLxGAYx/ElMfgHGLXYhAWroOg/IFg16AUth4rgWWSHRcFDg8phmghiUS4ZZcFiMCgXRbDNNu6KYBHe3x7hQcZFy/dTvuzd824vY1EEAECFZH7G9c/6ol832bLfZ03Xy+ua31/1/EHnqTrfoPnf+/b+8jxZXV1rqSt3av6sPn2Gxt/Ds2F5aTT0tRmHDm1NhU731XoxGTqxMB56MDcSWnR74TnJzYfaelHfH9VGpvet3qv9ju/DbXm+a7V75Ztfqo1TNU3UsSP161itnatvF2ov9ddF28/Z/o1ttX2o2veLdsp9m37uZFe172v/h83Zvrypxvvl3Jna2fNzdh8AAAAAAAAAAAAAAAAAAAAAAAAAAAAA8O9+AGwpZwM=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=266.090 Q3=134.200 sample=4 experiment=1 RT=1.65 ce=-30.00 name=adenosine" defaultArrayLength="2264" 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="13172">
              <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="288">
              <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>eJzt0TFqAkEUBmCPsEfwCHbb2llvIxYpEgQhYKHYGEjAFEkfT+BRLFN4BAuP4BEsZl14k13YVEnxfc3PMPPePGYGA+B/q8ZxPRm3Z75fpjxOO/bzvndlrO+U3dNZn2UzT76+zzNpP7d7iOvhU6xr9qv2urzfj3datPcv1imvm5SXt5Szj5Tf7/U9y5iHl9jnMo9zHJ5Trl7j+cdd7Ft81ue+Up7qPO/jPKNtvKd5h67M36Gvnv/d/Ef+n337/3YuAAAAAAAAAAAAAAAAAAAA4C/cAI4DQdk=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=269.249 Q3=269.249 sample=4 experiment=1 RT=0.52 ce=-10.00 name=C17:0_heptadecanoic_acid" defaultArrayLength="2264" 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="13172">
              <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>eJztzjsOQUEUgOHrUSqUSr1GYQFXdPahv0sQhVKv04nOMuyARCMRiVIlxDPmWITE9zV/zslkZrIMfkveO+afNs/31N3kmnqa31KHndhntUdqMXjFfMi66VyvHF2UUmfTSupyHfv6KPabVcyNS8x5NbraR4vx977tM+5vxfvtfvwHAAAAAAAAAAAAAAAAAAAAAP7dGxXhJFc=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=277.217 Q3=277.217 sample=4 experiment=1 RT=0.55 ce=-10.00 name=&quot;C18:3_n-3_(9Z,_12Z,_15Z)_alpha-linolenic_acid&quot;" defaultArrayLength="2264" 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="13172">
              <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="228">
              <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>eJztzztqgkEYhtHRDcTS0h2YDQh/rMQ2jYWQgI2V2FpkBWnS29jaaJ3OJbgEXYCB4AURL8H5tpAigXOaB2bgHSYl+GPe18U9xWybu+jtclfVS+6yHh2+RV9frrnpufR0T38cTQ/RVrucexxFO58pzg/Rx9Utdhux8zGN3Ur3HB2c4n66j3ea37mT+Sa31v0qfuHXAAAAAAAAAAAAAAAAAAAAAPDv/ABGAij5</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=282.084 Q3=191.900 sample=4 experiment=1 RT=2.80 ce=-30.00 name=8-hydroxy-2_-deoxyguanosine" defaultArrayLength="2264" 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="13172">
              <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>eJzt0C8OwjAUB+AdDFHDEdAoDIZkEgWChGRmYiQozsJRdhRE1yVdNv4McN9nfln3+vraogAAfmsZnn9/WjdzX1hN1L17zlyDc9Ich+34+WETskx14RizrWLW1y73MZsm5vmW/19cuv2nvO/UXCnrMu/f53C9zOdsd3mfl+/85fvf12E0+3ul+wIAAAAAAAAAAAAAAAAAAPzfAxLpLQs=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=283.264 Q3=283.264 sample=4 experiment=1 RT=0.54 ce=-10.00 name=C18:0_stearic_acid_" defaultArrayLength="2264" 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="13172">
              <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>eJzt0KFOAlAYhmGSyQAjm3SDwMAhYqFwATBljCAbNC7BG/A27CY2HJFOgU2SwaizmJxXwPj/a2AjPE959+2Ec3YKBTgti2Wpe+jZ5Co6m1Wjr4Pr6MUw+3veiI6emtGP8l109dWOPqxzj/5zL6fZ78/b6K6V++0n27vMbrZ53h+3ovf1m+jfe9738lyLPhbzXZ15pXucnwAAAAAAAAAAAAAAAAAAAACA07YHZ1Qhjw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=305.249 Q3=305.249 sample=4 experiment=1 RT=0.53 ce=-10.00 name=&quot;C20:3_n-6_8,11,14-eicostrienoic_acid&quot;" defaultArrayLength="2264" 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="13172">
              <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>eJztzz1KQ0EUgNFRCbgFrcwOUqR3xCatLxt4S0iR0kCWkTVYiaVVVpBGSJ3GnxSBp4QIIia8O1uwUDin+Zi5A5dJCf6WfLvMbVed52g9e41ePGyio/5Hmd+9R++rz2i6/Im+nR1dtT2tj6NpfBLNw3IerMo83ezjfdP9Lr3+ivaedmXf4zY6XZQ96byJzifrcl+95F/4LgAAAAAAAAAAAAAAAAAAAAD8Wwd8yyfg</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=307.264 Q3=307.264 sample=4 experiment=1 RT=0.53 ce=-10.00 name=C20:2_eicosadienoic_acid" defaultArrayLength="2264" 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="13172">
              <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>eJwtm2VgFckShQMBYkjsxmZ60MUXt0W2C5cQ3N3dbYEHLO4Oi7u7u7u7E9xdYgQi5FV3n/w52SQ7uXemvq76uklt6/2eUbXC5ahnC199i2ohtz1oPai200kuPhmdsO50T1np7in5755+8lD19KnzTRgkCx9reOZe06Ey7/cy/ZPKjZCpDt5vUW3RaJnfOj3pbvrxstHwbfva/TtJVvj7/cMtCVNlyRtd3ZeWmClr6l8wS1pDig6fNGWenFS+zZsb2RbLn17TIkIOLZe9io3cT6NXyeev/qo2MNdaGTx7XYMlwzfISVP2lWvw5xZZ80uRD48jt8scERtLJX7fKVdnP5g0IXa3HDtk1e9pdfbJae6n2g7bfEDOm/biTLd0h2XZo/XmZZ1+VLZ8XMV9sM8JmVIl9+r9HU/KlTu9KsYfPyUr2p9elgg7I3+t6Lz7Y/+zcrFP9fp5r52TeVrMOBWX+4K8fK5Pu+JjLsqeheulHvjkksy0pOiqPSWvyJ3pXBViZ12V9fv+eFH08zWZ8OXTib+y35Dhqx/PbHrjhlzS5GqbIcNvyvhF6oK3ZLU6SSH979+SC9N+eT977G2Zpf3XZhX+viN3RJR7szn+jqRSU3u7dt6VN7M9+jWi2z3ZeOTj7gVy3Jfvu+X7Mf/JfTm44dCRqeY/kF500bt7nYdyYd6Q/+54RcosE0M9xp6OlDv6dZn1Zdgj3OfH8vyhA9PSfX8sm6z1COmz8Yl8P6PRqoftnspeXxoHTrKfyZT765ZF330mq70YGrit6nO5UrSc/X3TczlwTkiaRhlfyGvXE0Yt6PtC5kr/JCXyzgs5strx4aLUS/lw7MrE1otfyiInx/AdfynTlZSfPNq9kq37Z+1a4+wrWWnH/DnlCr6Wa3K+21l/4Ws5sb26829kzxW305Xu+UZeDcr+R537b+Su+gtrVyz/Vvpfet+z6ea3Mj5d6wU1Xe/ko4qq0N7JModyvGj44Z3Mom/gezmy58c8rY++lx03tWlQL9cHWePdvRGVZ32Q+W724CfzUc4elYcr8aP8Vfjttj9ef5StX67qmanhJ3luduv8v85+kn/qB/1Zzol5sPHK+s8yYfV/XfaFfJFt+WorJn2R59Nkejsp4Yvc+HXNgnndv8qJ45rdPvLqq+yzsWXOpc2/yftNw96Mv/JNrvypfsF32YirP6zjd3k49etW/Vd+l/xwIjve+i5/REwokybxu/QbOdt1L0uUvD3/QJdHFaNkvZqXi0d3ipJzSqeKGDstSj7hKpm+LUryTXs44XqUbDq+1L2zX6Jk9VObb7mnj5alfzvXy+eNljcyb620u3K03FJ+nO/wDtHmfo6Jlh3HFd/guypall+fYUDkiWgpLr6Ra55Fy7K1bs5q8TtahqgXLmJk7Cx1Y2Lkjd1N4w42i5Fb7xbmJxcjGYqBfRfHyFM3krdHHI2RSRujbkW8jJHFx7yJi/CIlb1bPAyplT9Wflrw/GTZurEyR787r8sOipWtwi94lFscKyMnXN+R70SsDGh7+na+N7EyovT+H/m84+SQDzkLe+aPk+30heLkjNfRmW/1jpO3ahRrPnVunHTtHDivysE4GbRndbj/0zjZTN3W1D/AyQ9ZWBV2gx+y2/zq/IR/yDXqMW38IZ/OmcBP5Ie8W2DOta3JP2TGP3ct/ZYrXqa9cPRthXrxUp57vHfssHg55Ezi2HPr4uWuU2ENPG/Gy89MZY3EeJnzeJPoKX/8lK2P/nPyau2fslGTMd5Zh/6UnjGVkq2VP+VBpiXowk/ZLfeFl37ffsqHavkL+iUnJ5SsEFrul8zhXv/5P51+yQ7qhc/+JdfmcXXOfOyXfFN2UN6YD79knayVMoeGJMhB+gUlyCUfwlvs6Zkgvywrm//OogT5d4M/k2LOJ8gZXs6VgLgE+fxYxiVFsyXKwgNSutevnSjPTFULV6JUq8qojYmyU/zrtivvJcr9W/iBuSdJz3bnUr0olCSbBu+/6dYqSW66sn5llilJUq0eBQ4kyemLlpyv9SZJPqs9bX4v/2TZ+3IzEVA2WR59FSgudkyWEQqIGcnS/69u/ZzDydL3w/7t7u+SpV7W/X/L03G5W8yo8FvyTTrepN9v8/pW/ZaZGvqkJN38LQfowkyRF08E/lz6V4p8dKf+saG9U2Rv/zEnLq1MkZV3n63mdSdF9hg8dG1+dzc6QKNfng9xI1Gqc6WuBd3oBVdRShU3WhPu3+q/Vm7U+e67bvkGuVFe9UCmudHGi0M+N1jnRrqMj7nR2pefT3d+4EaH+3ZsXyrKjQI7RE2M90pFV9b07348WypS1TWhTCoKyVk/7ep6qchLLeDdUpGup9GpaOO/2efeXJyKGhVt0urZnlTUdsjw2y+upaJLGdQKnIqu/T1sfMtUqWlSvGo8qekN3+1iBVPTirCCT3JUSU1JY8/lTN8yNQXeqPTg+wD+ua27i12alpoUFlvWpaab+yZsGnc8NXFT6NXiYWpKt+7EtytRqalz17lWER93Muu3O4V57xp8pow76fqt7056ne3mTvp+j3anCrr9udPJSysr79vtTi/edk6mK+5kF/GJvPnGnXQfTXGnokOb3/sYkoZ6nv29639F0pB+HDXTEH0tHjy7Uxp6cPnisuBRaUivV4vTkOeEqK3Z9qWhFR14obiRhrZ02nHk2Ic0dJBXo7up09LZbukuf7LS0hOm5kbRtFS/9q+PR8PT0j21PLRLS/vb/fuw3JC09Fflqv1+zUhLh3Nl8tm7Li3pvnY0LTll/vtV7E5aUtX762NaGl2LB4hU6ShN4Vcj+4Sko1drF5/JUigdnWxV68eRaulIt6226cg+t3/yg6Hp6OepDpvazE1Hg/paGZ5vTUf1el3I3+V8OirQfWDN78/TkV52E9ORT9aECycCPajH66uxfxTwIN3Xq3jQiRJxc7e38qCPzzw7xg7yoISm0rfodA/yVAvfOg9aFni737QjHqTr+5YHZei7Zcqj9x7ElC5IneJBw66OW5PH5Um6/+TzJEXNGPKkLbz6HmjgSfxmh5zv6mnqcYQn6WVhjidxs9jxYqMn6fXpmCdtnc5A3/Yk3VfeeZr3l+BJ+vZn9KJoe82hOdm8aNm39efCS3rhuXkRv/qnh9t4kZ6rBnjRHNe9FRUmetHpbW4H7y/xovl7S+ccvMOLuh0ZMCfkjJeiacHhe170q5Ff884fvMhveIc23klepKaZrRm9aXlwqtxNs3rTfp6Skop607X264ssr+JN6mUHNPMmPQ/08abN7Ud7xIz1Jpe6PQu9qc3ioZcab8fXz3hTfL7JlaZHetP4gM2h+b95k+HeB5z40NK1dflJ+dCPfrveVSYf8/7r+1C6FnxHOvuQWl6vD/WhoMrZqkZM9yE1Bd1e6UOfF2f8x3OfD4WP2Pk6+LIP8dDAC5oP+Tb5a8+FHz6kVttuGdLTsLIeG7/mSE9ZM8f2aFQuPXXhqWxvw/SUYd79kqJXeuLhjMlNT2X6XJt4a1l6ejaPb9SB9JS997qCfW+mpwN3uEF8SU+zuL0W8MpA3Z72nTw9Rwaq0D5g/FeZgfSY2zwD8dWHbxuUgfR8MScDbb5+t9Hn7RnI9PkM1LZIw0J5P2SgwW9//q+sR0ZSU1vjPzKSwjmxUkbKG9M194V2GSlctbWRGUnPh0sz0owC1Qc3PJSRduZjMu9npNu5S3YIis1IcX8UiPzhm4lCnuVt9yl/JlJlUjo8E3G1t1nWJRP9wdNOqvH837nO7mmxOhNVO1K7S49TmSisbqQ17EUmc7/dfKmleqN+vhTDU7nI5ktN1YMr6kvfRi9eHlfRl9QY0bOBL5l5wZf0fDzAl5iuqvPH+tJxtazP9SWXHhh8KWEEV9huX9p+cGaxtad8Sa1ekTd96SFPSSuf+9JX389vOnzzpaLLx4/O/9uX/vmTn0x6PzpymD8sP3KrwZ00rx/dydcx9GUpPxpTsOY67yp+lCY9P4n6frRqRvqao1r7UZ/Sj7M+6O5Hul8N9qPHXdx6jxrrR0M/N3h7e6YfrT8tRh9dwtdZ9Fas3+BHqfrxK9rjRwX5dg494UctspSPan/Fz9ThA/65gdwZXvmRWrZ8vvpRM37c1X/60dwtO9K5UvuTmff9qTHj0jXQn+pWUR3RnyyeCqrm9KfKqmEW8Ce17FQt6U9d9eDpbziu6k96bqntT8ouHjX2p/G8WnRu7U+j+1eZ+6OTP9VWhdTLn8I/pinmN8ifroWqB+VP2dTHaH9apzCZ6I91yZ+GK4GZ60/Gk/yp4ckNa2qt8KcH32NrNF3nTzykzm69xZ925OYOvcvfrKMH/GlCm4K5/nfM39yvM/w6vv7b8+NFf8PtdX+zPt7xJ7Vc5Ynkr6sLPfM3dfqav16SV9qP/qTnnm/8dbaeEnH+tOfCoGPLE/jrvDx7ugVQxU7lyxxKE2DWF68A2laVxSBjAM1R47N/AGl/CQ6goSU2/93YCiB9uzIHUIa8Y99nzx5A/C4zeuYKMP0tbwDddlcFEEBpPx56cqBIABkvCaAFT7gRlg6gS6crbO36dwDpubNCABWYueJn4SoBNGPppWFhNQJI60VEAGWftTrnu7r839xd45sEmNfbJoDyq0LpzNcpcmZngV4BpOxHDgwgj+9B1eoMCzD1MSaA9Ng6OYDUy5swi9/XrJK35y8IoGHBj5O2LA+gsRlqb5+7NoC6cztcvC2ACqaus+vUoQCKTb4z+MO5AHqf5e7SwNsBtMVu1qHMM7y+j3xd1QBjA6jR8s1bH6QE0F9ZeOX3DqRvAWGLCwUGktYuEUgtEl2Vs+UKJH/zDbMelw6kEfcynZlaMZD0WBMRSHpsaRRINx8owQqkCVdGDxrQNZDKnRgZ/qVfIMXsHpGl07BA2rR+WNzTcYGk7LTFjECqsi8m+c6CQHMfVwUST8Xrz20ONPdjbyBlHvep7oFjgZRGDQIXAunwnHbNtt0MpL6qsB4FUq7/tUqz4nUgqSkm5GsgzeVvz4oPJIW1dyqX4dvbRW87XJ/iFugy/V+4SPtMThdpHy3kouNFzz979ZfLrF8VXaT3AWq6yK8EG3gjF53PU3r25dYuGqEHQhcVU9/o5yKFT4lhLtJeNc5FjT8XPJxrhotUG1izwGXWuVUu0l622UXa6/a6qDJP7VOPuSjxeyiP3C7irhI+4qaLujxwZYmPdJGasnu/dtH1rcmTs0W56N8Z77LcTXZRob48uXkH0fN6h2uWDg6iWcV40sweROWDZgxeXiiItA+VC6L+armtEUQ8RT7a1SjI1FP7IBrXWD3ZICr+l6qEIHobpjYygmheUruLBecFUdWnNfklBpGibO72INrAU3rVI0Gk9xMuBBEPVU023A2iyZnbf232MogSW/BEFx1E3Rf9s2SVezA9vj+qf5XAYIpwTa3xMUcw6e2L4sGk7HhqjWBK9TS11+TWwaQwbN43mMrxVJ17TLCpx7nBtOHToFeX1gXT0wO7Ci85EGzm0DPBdLMqT6jXgyk8U6Hn9R4Fk9LXN2+D6e9lYxr8Ex1MBzpyJ/8dTIX/vH9hsVcIbY51cy/gCqE/juQtdyJLCBkfDKEP2VmESoYQN7Fp/SqG0ONdjc6nqR1CenuiWQhdL7+pTJ5OIVTdS92xEHM/h4dQ2QW5Pj6bGEL7WtfN0W9uCBXUhReC5xpC2fddu5V7fwj1VAPvqRAzP1wLoZncPp49DCF9uTchNIbbnHtUCF0tw6KbFEJVeZXP4Rlq5ueAUOIq+7da5lDaw7obmTeUVLvqUSKU1r+vViClfChlVRslEaGkbnf2pqEUqMSxQyhNZ/2r1ieUPNRC/r9QGvVfxSk9JoSa5zM71NTbslA6fqbyI2dTqNmu2RtKeh/jZKip9yuh8JZQyrwp6PevV6G0sC//6LdQClGDT3wozc/BN9QtjKr8MTD1Is8wUuN8tG8YVVaNIDSM1Gq2OmsYVZrS411injA6zWNygyJh1I81aGfpMIr6W+1chVFfNUiEh9H3KB4w64eR9r0WYfRNbV90CKNeaoHpEUZCFf7AMMPt8DDjFePCSO9zTQ8z6868MDPnLgsjvc2zPowuLDg8b+b2MOLpP9OH/WF0PrzkpPIn8LovhJl55kYYaX19GEaxalvlRZjh5mMYaY+MDqNdapvtRxit2PZoWr7EMNOfUsLM/XG36GmuYiXaelp09Qp/pLeIq55XBIv0NoPLotJq4yjMItXmezmW8ZdslpnLclnUecos/w35LMrptb1GpkIWqbczqJhleOB027dx/bDiFqndxRRO/X5LWLSBl9G0JS0qrsSSU2+7lLKoTkVeCTifRG7nTmxRN3UhTr0/WdqicWr7i1N7dBmLlt/gBZvzTx6vcpS16FDK3o3rOavqB22R3q/g1PPT35bxFs4INaBLix51vHVwL2cXtr5SZBkv4ByT34n6u7xFvmpjgJNlyFW5gmXmTs4DanysaJHGhJOv0rpuJYvaMF53OPW8WtkihWUk55i61ZeOrMLXU95fla83Muep8Zz51DZiNb7edvd3UzmD9EBskdKK6ZyFat857lfDomNvK9yay6nn93CL1DK7iLOTEoCaFultFE6tvREWZRwQSes5dZ3VsoyncO5jrSlU26KKt+ZO3s2px4I6FrVSAx+n2W/i56t+MafZ37HMHMJp9gMteIdFZdTlGlikfuwWZ0P9YdErhSFnn7FFhjZvZJHC9ynnlN2ZlrdtbBkeOTWvTSzj15wn/JQQ8vNR28uc/C4yDGhmmb7CGddbXdAitqVKyZy+fLWRLfh+luB30pKfj95YsMx62soy6waneruZWlum/jm/8MtzteHnw792Aafeh2pr0X+T1Qu0zBzZzjJzOade59tbpLdLOfW63oHrndveTk41LhfraJHZ3+Z6f8pi1InrXW1IcaptQurM9a7fMNe72o7pYpF6vJc4n6jH1pXr3V29E4v0be5mkXq39zi1J3fnem+rfrNl5tUeXO/88l5yVlW/tqdF6nLvOdupH+tl0bev/MGpdlv69bbIWzdmy/htH4v0Pj6n7t99LZL6By1SPzWWU/tNf4vecflN5hygH4hl/IBT76cNtMjmxzuPUz220EGWmTc5z/BtzvKPRer2rebUvjjYoh78djdyqreRfwjX5dhhN3Zz6m3ioVyXar+UU/1Yqf9Zxnc4q2sBtYif2vOTnB1UIQy3KEqNIZwajxEWpVc/yLlQlfO/vD6pgubco8pvpEV635ZTl8soi1QZPOf8oB7vaIv0PiKnfhxjLDOncOrbN9aCx1v0l3q74yzS+9ycxo8ts9/G2UtdboJl5qSJFk2aqD7A+SRwPgmcTwbnk8H5FHA+BZxPBedTwfk0cD4NnE8H59PB+QxwPgOczwTnM8H5LHA+C5zPBuezwfkccD4HnM8F53PB+X/g/D9wPg+czwPn88H5fHC+AJwvAOcLwflCcL4InC8C54vB+WJwvgScLwXnS8H5MnC+DJwvB+fLwfkKcL4CnK8E5yvB+Spwvgqcrwbnq8H5GnC+BpyvBedrwfk6cL4OnK8H5+vB+QZwvgGcbwTnG8H5JnC+CZxvBuebwfkWrku1Xcyp92m2WpTm3dTcXzhnjUgs3Wcb12VQt4gYzi1bH7QetN0y+4acelt+h0UNBuSYn8L5wmfOxtE7uS5XpzqSdhfXZek+1yZyTrr19LnPbq5Lvsx0TvVt/z0W6fMAzmOF+JO9mAs49f78Pq5LtU/OGTO9/oAc+y0axW1t/X5wfoDrsiELGmeeLxmOFToIzg+C80MWqWrZy6nPNQ6D88Pg/IhF6fx5QjwCzo+C86Pg/Bg4PwbOj4Pz4+D8BDg/Ac5PgvOT4PwUOD8Fzk+D89Pg/Aw4PwPOz4Lzs+D8HDg/B87Pg/ML4PwCOL8Izi+C80vg/BI4vwzOL4PzK+D8Cji/Cs6vgvNr4PwaOL8Ozq+D8xvg/AY4vwnOb4LzW+D8Fji/Dc5vg/M74PwOOL8Lzu+C83vg/B44vw/O74PzB+D8ATh/CM4fgvNIcB4Jzh+B80fg/DE4fwLOn4Dzp+D8KTh/Bs459THyc4s2jeZBi7Nk2InmWV5YZp7nrMfjV86XXJfPGQBOfU7yivsPT9fbOSesb3ypyGvL+AjnynvFvpV6Y1FBBQon0xAo33JdqsGN8z5/u/I7rssrLcMvcEa150/eW/SvAoozPWNW9wPXpTon5szFWDT+aBkv4lS7aS0/gfNP4PwzOP8Mzr+gn39BP/+Kfv4V/fwb+vk39PPv6Off0c+j0M+j0c+j0c9j0M9j0M9j0c9j0c/j0M/j0M9/oJ//QD+PRz+PB+c/0c9/op//ski9vO2cgeoBJ4DzBPTzRHCeCM6T0M+TwHkyOE8G57/B+W9wngLOU8C5m2045zTnSrbhnFNznto2nHNqzt1twzmn5jyNbTjn1JyntQ3nnJrzdLbhnFNz7mEbzj1twzmn5tzLNpxzas69bcM5p+bcxzacc2rO09uGc07NeQbbcM6pOc9o43zBNpxnsg3nnJpzX9twzqk597MN55yac38b+4c2qXKKCLDNeROnWubrB9qkjzk5x/Gy3NRlk1puH3OqbbXWQTbpc3vOQ5GTkzsG28ZHOe96dcnWI8SmdgoUTqahar9Qm4arwY3Tm789OMym+SkzRyRy5lCfWDbtYhxT2Tbp82JOhY+HsKkZYzGZU7W1DI5Nql3N5EytwMtsG845dT/PYhvOOTXnWW3Tzzl1P89mm37Oqft5dtv0c05zLmibfs6p+/kftunnnLqf57RNP+fU/TyXbfo5p+7nuW3Tzzl1P89jm37Oac7RbdPPOc35lm0459Sc57fN3M6p5/Y/bcM5p+a8gG0459ScF7QN55ya80K24ZxTc17YNpwXsQ3nnOZcwjacc+qyKmYbzjk158Vtwzmn5ryEjX1i23Be0jacc2rOS9mGc079Nv6yDeecmvPStuGcU/9YGdtwzqk5L2sbzjk15+Vswzmn5vxv23DOqTmXtuGcU3NO4JzAeXlwXh6cVwDnFcB5RXBeEZxXAueVwHllcM5p/NyGn4PzquC8GjivBs6rg/Pq4LwGOK8BzsPBeTg4rwnOa4LzCHAeAc5rgfNa4Lw2OK8NzuuA8zrgvC44rwvO64FzTuPnNvzchp/b8HMbfm7Dz234uQ0/t+HnNvzchp/b8HMbfm7Dz234uQ0/t+HnNvzchp/b8HMbfm7Dz234uQ0/B+etwXkbG35uw8/BeVtw3g6ctwPn7cF5e3DeAZx3AOcdwXlHcN4JnHcC553BeWdw3gWcdwHnXcF5V3DeDZx3A+fdwXl3cN4DnPcA5z3BeU9w3guc9wLnvcF5b3DeB5z3Aed9wXk/cN4PnPcH5/3B+QBwPgCcDwTnA8H5IHA+CJz/A87/AeeDwflgcD7Ehp/b8HMbfm6buf1/XJc8fp3gVGNVxWG2mds51RhUfTjXpRp4OPW/axxhm/NjTqUTDf+1zTkO5yu+TPORXJf87aecvztyhxrFdZnMn4wC56O5LvPzKxkNzseAc07V1gaMBedjwfk4cD4O/Xw8+vl4cD4BnE8E5xPB+SRwPgmcTwbnk8H5FK5LfvnLp4DzqeB8KjifBs6ngfPp4Hw6OJ8BzmeA85ngfCY4nwXOZ4Hz2eB8NjifA87ngPO54HwuOP8PnP8HzueB83ngfD44nw/OF4DzBeB8IThfCM4XgfNF4HwxOF8MzpeA86XgfCk4XwbOl4Hz5eB8OThfAc5XgPOV4HwlOF8FzleB89XgfDU4XwPO14DzteB8LThfB87XgfP14Hw9ON8AzjeA843gfCM43wTON4HzzeB8MzjfYsPPbfi5DT+34ec2/NyGn9vwcxt+bsPPbfi5DT+34ec2/NyGn9vwcxt+bsPPbfi5DT+34ec2/NyGn3Ndqv/hgA0/t+Hn4PwgOD8Ezg+B88Pg/DA4PwLOj4Dzo+D8KDg/Bs6PgfPj4Pw4OD8Bzk+A85PgnFNti3c5Bc45iyqRO8112Zx/w2lwfsamRzyWxnOqcXPoWa5LHiOTz6Kfn0M/P2+b/XZOvd9+wTb77ZzqMWS6aNNtvr1zONuoB3iJ65Jvx0JO9Tbty+CcU72sbFe4LpVAcu7gy+S+ynWpbiSnPg+/ZlMT9Qmn/ndt17kulWhyuqmCuMF1yWPuMU41vpa/adMG1s8znMXVIH2L65J18dItzO23MbffBud3wPkdcH4XnN8F5/fA+T1wfh+c3wfnD8D5A3D+EJw/BOeR4DwSnD8C54/A+WNw/gScPwHnT8H5U3D+DJxzGj/H3P4cc/sLG35uw89t+LkNP7fh5zb83Iaf2/BzG35uw89t+LkNP7fh5zb83Iaf2/BzG35uw89t+LkNP+c5k8vzOaf+9y+fwflncP4FnH8B51/B+Vdw/g2cfwPn38H5d3AeBc6jwXk0OI8B5zHgPBacx4LzOHAeB85/gPMf4DwenMejn/8E5z/B+S/M7b/AeQLm9gTM7YmY2xMxtyeB8yTM7cmY25Mxt//G3P4bnKdgbk/B3O4m4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4uaAaX3XxOzXkWAT8X8HOBc3VhOM8mDOecmvPswnDOqTnPIQznnJrzP4ThnFNznlMYzjk157mE4ZxTc55bGM45Ned5hOGcU3OeV+DfJwjDeT5hOOfUnOcX8HNhOP9TwM+F4byAgJ8L+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5MJwXF/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPwfnBM7Lg/Py4LwCOK8AziuC84rgvBI4rwTOK4NzTuPnAn4ucH4ucH4ucH4uTD+vLkw/59T9vIYw/ZxT9/NwYfo5p+7nNYXp55y6n0cI0885dT+vJUw/59T9vLYw/ZxT9/M6wvRzTt3P6wrTzzl1P68nTD+vB87rg/P64LwBOG8AzhuC84bgvBE4bwTOG4PzxuC8CThvAs6bgvOm4LwZOG8GzpuD8xbgvAU4bwnOW4LzVuC8FThvDc5bg/M24LwNOG8LztuC83bgvB04bw/O24PzDuC8AzjvCM47gvNO4LwTOO8MzjuD8y7gvAs47wrOu4LzbuC8GzjvDs67g/MewvTzHuC8JzjvCc57CdPPe4Hz3uCcU/fzPuC8DzjvC877gfN+4Lw/OO8PzgeAc07j5+B8IDgfBM4HgfN/wPk/4HwwOB8MzocI+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5MHP7aAE/F2ZuHyPM3M5p/FyYuZ1Tz+3jhJnbx4Hz8eB8AjifAM4ngvOJ4HwSOJ8Eziejn08G51PQz6eA86ngfCo4nwbOp4Hz6eB8Ovr5DPTzGeB8Jvr5THA+C5zPQj+fjX7OafxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM/B+RZwvlXAz8H5NnDOafxcwM/B+Q4BPxfwcwE/F/BzAT8X8HMBPxfwc/TzvQJ+LuDnAn4u4OcCfi7g5wJ+LuDn4PwgOD8Ezg+B88Pg/DA4PwLOj4Dzo+D8KDg/Bs6PgfPj4Pw4OD8Bzk+A85Po5yfRz0+hn59CPz+Nfn4a/fwM+vkZcH4W/fws5vZzmNvPYW4/j7n9Aub2C5jbL2Juv4i5/RI4v4S5/TI4v4y5/Qrm9iuY269ibr+Kuf0a5vZr4Pw6OL+Ouf0GOL+Buf0m5vab4PwWOL8Fzm+D89vg/A44vwPO74Lzu+D8Hji/B87vg/P74PwBOH8Azh+C84fgPBKcR4LzR+D8ETh/DM6fgPMn4PwpOH8Kzp+B82fo58/Rz5+jn79AP3+Bfv4S/fwl+vkr9PNX6Oev0c9fo5+/QT9/g37+Fv38Lfr5O/Tzd+jn79HP36Off0A//4B+/hH9/CP6+Sf080/o55/B+Wdw/gWcfwHnX8H5V3D+DZx/A+ffwfl39PMo9PNo9PNo9PMY9PMY9PNY9PNY9PM49PM49PMf6Oc/0M/j0c/j0c9/op//RD//hbn9F+b2BMztCZjbEzG3J2JuT8LcnoS5PRlzezLm9t+Y239jbk/B3J6Cud3NgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/dwzngY7hnFNz7nIM55ya8yAHfu4YzoMdwzmn5jzEwd+VOobzUMdwzqk5D3MM55yac8sxnHNqzm3HcC4cwzmn5txxDOec+u1mdnB+7uD83DH9nFP386wOzs8dnJ87OD93cH7u4Pzcwfm5g/NzB+fnDs7PHZyfOzg/d3B+7uD83MH5uYPzcwfn5w7Ozx2cnzs4P3dwfu7g/NzB+bkDP3dwfu7Azx2cnzvwcwd+7sDPHfi5Az934OcO/NyBnzvwcwd+7sDPHfi5g/NzB37uwM8d+LkDP3fg5w783IGfO/BzB37uwM8d+LkDP3fg5w783IGfO/BzB37uwM8d+Dnfz4NVntaUDvzcgZ+Dc07996rlwXl5cF4BnHPqv7epCM4rgvNKjvn7UE799yCV+X52f301tjI4rwLOq4DzquC8GjivBs6rg/Pq4LwGOK8BzsPBeTg4rwnOa4LzCHAeAc5rgfNa4Lw2OK8NzuuA8zrgvC44rwvO64FzTnN+7uD8HJw3AOcNwHlDcN4QnDdycH4OzhuD88bgvAk4bwLOm4LzpuC8GThvBs6bg/Pm4LwFOG8JzluC81bgvBU4bw3OW4PzNuC8DThvC87bgvN24LwdOG8PztuD8w7gvAM47wjOO4LzTuCc8/8z9yD+</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>eJztzrEKQVEYwPH7Ll7AJKV038B9BJmMd/AAHkDxCHc3yCQvYL5lM5koFomM5H4Wu1L8fsu/73yd00kSPqeVfvsHvyDtb9Jni+G+atKLDpeHqt31MTqPZvdT1bx2jnlxjfvjS9wrb7EfxFxvxL4cRfNp9NSM/XYWLdpxnu1ecyfen6zeCwAAAAAAAAAAAAAAAAAAAAD/6gHJ8zHW</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=309.280 Q3=309.280 sample=4 experiment=1 RT=0.53 ce=-10.00 name=C20:1_eicosenoic_acid" defaultArrayLength="2264" 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="13172">
              <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="228">
              <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>eJztyLFKQgEAhWFLWmq5uNgSXcJC8hmCHILaEnqAdl/CzddodrJNWuoNFJcaGhwaGlqiHEyI6NyXCPq+5T+cWg3+lpuTl9OMjfd0dr9MH9pfafG4Tse97/T6ebP72/OzrfSpvp0uVjtp67Ko/ttG1Y9mOtndS+/KMv0c7qdvFwfpa3mYzvtH6WxwnBbTTjq6qgoAAAAAAAAAAAAAAAAAAAAA/9UP2wAkOg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=343.125 Q3=59.000 sample=4 experiment=1 RT=3.80 ce=-45.00 name=maltitol" defaultArrayLength="2264" 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="13172">
              <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>eJzt0LsNwjAUBdCMxAipM0JaulRIKWgtsUBGzChIIEfyTfjUcE5j+fOun911AAD8nDL0j3Gd+2Z9uRyvl+k5L+PxuNWdYz/qtv3h/XrNyz53+WP0ObZ1OeY9u7ro99vcV+e3d0zt/OV/RR+na+TU/5rj/Id3Zn3Nrzn1nsyvOevtOC/fsZR2DgAAAAAAAAAAAAAAAADA37sDkrVWbA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=346.056 Q3=78.800 sample=4 experiment=1 RT=4.40 ce=-45.00 name=AMP_(adenosine_monophosphate)" defaultArrayLength="2264" 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="13172">
              <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="120">
              <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>eJzt0UEOgCAMBECe5BP6/1dx8mJCCqgQ48yd3ZaWAgAAfMMRa9+9ndfKiXi2J+tb5drfmiebszen1/nfd2X7zO472r/7zgAAAAAAAAAAAAAAAADwLxVALQhx</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=361.202 Q3=331.300 sample=4 experiment=1 RT=0.59 ce=-15.00 name=cortisol_" defaultArrayLength="2264" 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="13172">
              <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>eJztzrEJgDAQQNEMZnED2NrZWAgWDuEojuJoggThIlgrvNd8jpBcSoGPiSGuHkuk+e5YO+eWLjfW9/v7FGnv1kdq+5+2976qfa89f8wAAAAAAAAAAAAAAAAAAAAA8G8n490ThQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=391.285 Q3=345.400 sample=4 experiment=1 RT=0.81 ce=-45.00 name=deoxycholate" defaultArrayLength="2264" 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="13172">
              <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="340">
              <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>eJztz71KA0EUhuEtLLYJpLT0EgIphWVLC/ECUqVIEbCw0VKYqIj5TwiBRRshtZBGCKKgIJhGFFQQi2ARLIzF2liL843FgBcg5H2al3PYnd0JAuCfie7in5jVJ9s4nNouRR/qy6dtupbqua+ZbXD7pi5PtO89aC6M1fcb7Y+uNOcv1MUzNR6pmVP19URdGPi9PlRLrsOOOu6po4aa1tX7tj8/V9y8p2521ZybizV1xbj/aqlJ1b1/oJZ3VbOvhu47pumff7zj7rOuXm6pwcbf+9+abf/8bMW/53lffUzceQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJg33205UKk=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=407.280 Q3=343.300 sample=4 experiment=1 RT=1.50 ce=-45.00 name=Cholate_" defaultArrayLength="2264" 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="13172">
              <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="504">
              <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=429.374 Q3=163.000 sample=4 experiment=1 RT=0.47 ce=-30.00 name=α-tocopherol" defaultArrayLength="2264" 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="13172">
              <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>eJztz7sJgDAUBdCM4ijZwMrGRhBBEBs3cDRHcRQLE+G1VoLnNJf3CyQl+Ijc55D7XLIt/eHOY70zdXGvzms+d+W9cyr1GPu1Tlvca5b86h8AAAAAAAAAAAAAAAAAAAAA8BMXFrISug==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=464.302 Q3=74.024 sample=4 experiment=1 RT=2.45 ce=-45.00 name=glycocholic_acid" defaultArrayLength="2264" 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="13172">
              <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>eJzt0T9KA0EUB+A9gqWl5BRitYVHsI+Fjb0QAoFsoxY2ErAQGztPkD6QIo1CIOQYgRwhkDe7MKubIDYW39f8mNk3b/5sUQDAL1WX5cFxe7753v953ftN5Owqr/s2vs3n2/2bPqnuehS5HEaWg1R3l9edPkWeTCLPniPPHyO396nPa+RiGrmZ77N6WO2zfFnH/NdnZC/VXXyk/d7ycxTj/Hz1uer71vep79e8R9L1Dl3/o8tf17fP09X/2L7H+gAAAAAAAAAAAAAAAAAAAPDv7ABLmEME</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=498.290 Q3=498.290 sample=4 experiment=1 RT=1.60 ce=-10.00 name=Taurochenodeoxycholic_acid" defaultArrayLength="2264" 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="13172">
              <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="688">
              <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=4 experiment=1 RT=0.53 ce=-10.00 name=FFA16:0-d3" defaultArrayLength="2264" 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="13172">
              <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>eJztz71tAkEQgFGaICIhJqODFQVYjhAhAQUQIpFcCTay5ALcAB24A4sGkAhI+dFhc8a+wPLOdUAC0nvJp1ndzWpbLbgNxds2/Xc5OkVfz7mPne/cp0XMm/ZXzJP4bryO89XLJTfNf+P/WZ077UXTe3M+bObBT25RVrnH59ibqs/Y34/9qVfmdj8OcX+9i3sf9unKJwMAAAAAAAAAAAAAAAAAAADAXfsD1DszIA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=411.306 Q3=347.300 sample=4 experiment=1 RT=1.50 ce=-45.00 name=cholic_acid-d4" defaultArrayLength="2264" 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="13172">
              <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="504">
              <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=183.082 Q3=82.000 sample=4 experiment=1 RT=2.10 ce=-30.00 name=hippuric_acid-d5" defaultArrayLength="2264" 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="13172">
              <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>eJwtm2VgFckShQMBYkjsxmZ60MUXt0W2C5cQ3N3dbYEHLO4Oi7u7u7u7E9xdYgQi5FV3n/w52SQ7uXemvq76uklt6/2eUbXC5ahnC199i2ohtz1oPai200kuPhmdsO50T1np7in5755+8lD19KnzTRgkCx9reOZe06Ey7/cy/ZPKjZCpDt5vUW3RaJnfOj3pbvrxstHwbfva/TtJVvj7/cMtCVNlyRtd3ZeWmClr6l8wS1pDig6fNGWenFS+zZsb2RbLn17TIkIOLZe9io3cT6NXyeev/qo2MNdaGTx7XYMlwzfISVP2lWvw5xZZ80uRD48jt8scERtLJX7fKVdnP5g0IXa3HDtk1e9pdfbJae6n2g7bfEDOm/biTLd0h2XZo/XmZZ1+VLZ8XMV9sM8JmVIl9+r9HU/KlTu9KsYfPyUr2p9elgg7I3+t6Lz7Y/+zcrFP9fp5r52TeVrMOBWX+4K8fK5Pu+JjLsqeheulHvjkksy0pOiqPSWvyJ3pXBViZ12V9fv+eFH08zWZ8OXTib+y35Dhqx/PbHrjhlzS5GqbIcNvyvhF6oK3ZLU6SSH979+SC9N+eT977G2Zpf3XZhX+viN3RJR7szn+jqRSU3u7dt6VN7M9+jWi2z3ZeOTj7gVy3Jfvu+X7Mf/JfTm44dCRqeY/kF500bt7nYdyYd6Q/+54RcosE0M9xp6OlDv6dZn1Zdgj3OfH8vyhA9PSfX8sm6z1COmz8Yl8P6PRqoftnspeXxoHTrKfyZT765ZF330mq70YGrit6nO5UrSc/X3TczlwTkiaRhlfyGvXE0Yt6PtC5kr/JCXyzgs5strx4aLUS/lw7MrE1otfyiInx/AdfynTlZSfPNq9kq37Z+1a4+wrWWnH/DnlCr6Wa3K+21l/4Ws5sb26829kzxW305Xu+UZeDcr+R537b+Su+gtrVyz/Vvpfet+z6ea3Mj5d6wU1Xe/ko4qq0N7JModyvGj44Z3Mom/gezmy58c8rY++lx03tWlQL9cHWePdvRGVZ32Q+W724CfzUc4elYcr8aP8Vfjttj9ef5StX67qmanhJ3luduv8v85+kn/qB/1Zzol5sPHK+s8yYfV/XfaFfJFt+WorJn2R59Nkejsp4Yvc+HXNgnndv8qJ45rdPvLqq+yzsWXOpc2/yftNw96Mv/JNrvypfsF32YirP6zjd3k49etW/Vd+l/xwIjve+i5/REwokybxu/QbOdt1L0uUvD3/QJdHFaNkvZqXi0d3ipJzSqeKGDstSj7hKpm+LUryTXs44XqUbDq+1L2zX6Jk9VObb7mnj5alfzvXy+eNljcyb620u3K03FJ+nO/wDtHmfo6Jlh3HFd/guypall+fYUDkiWgpLr6Ra55Fy7K1bs5q8TtahqgXLmJk7Cx1Y2Lkjd1N4w42i5Fb7xbmJxcjGYqBfRfHyFM3krdHHI2RSRujbkW8jJHFx7yJi/CIlb1bPAyplT9Wflrw/GTZurEyR787r8sOipWtwi94lFscKyMnXN+R70SsDGh7+na+N7EyovT+H/m84+SQDzkLe+aPk+30heLkjNfRmW/1jpO3ahRrPnVunHTtHDivysE4GbRndbj/0zjZTN3W1D/AyQ9ZWBV2gx+y2/zq/IR/yDXqMW38IZ/OmcBP5Ie8W2DOta3JP2TGP3ct/ZYrXqa9cPRthXrxUp57vHfssHg55Ezi2HPr4uWuU2ENPG/Gy89MZY3EeJnzeJPoKX/8lK2P/nPyau2fslGTMd5Zh/6UnjGVkq2VP+VBpiXowk/ZLfeFl37ffsqHavkL+iUnJ5SsEFrul8zhXv/5P51+yQ7qhc/+JdfmcXXOfOyXfFN2UN6YD79knayVMoeGJMhB+gUlyCUfwlvs6Zkgvywrm//OogT5d4M/k2LOJ8gZXs6VgLgE+fxYxiVFsyXKwgNSutevnSjPTFULV6JUq8qojYmyU/zrtivvJcr9W/iBuSdJz3bnUr0olCSbBu+/6dYqSW66sn5llilJUq0eBQ4kyemLlpyv9SZJPqs9bX4v/2TZ+3IzEVA2WR59FSgudkyWEQqIGcnS/69u/ZzDydL3w/7t7u+SpV7W/X/L03G5W8yo8FvyTTrepN9v8/pW/ZaZGvqkJN38LQfowkyRF08E/lz6V4p8dKf+saG9U2Rv/zEnLq1MkZV3n63mdSdF9hg8dG1+dzc6QKNfng9xI1Gqc6WuBd3oBVdRShU3WhPu3+q/Vm7U+e67bvkGuVFe9UCmudHGi0M+N1jnRrqMj7nR2pefT3d+4EaH+3ZsXyrKjQI7RE2M90pFV9b07348WypS1TWhTCoKyVk/7ep6qchLLeDdUpGup9GpaOO/2efeXJyKGhVt0urZnlTUdsjw2y+upaJLGdQKnIqu/T1sfMtUqWlSvGo8qekN3+1iBVPTirCCT3JUSU1JY8/lTN8yNQXeqPTg+wD+ua27i12alpoUFlvWpaab+yZsGnc8NXFT6NXiYWpKt+7EtytRqalz17lWER93Muu3O4V57xp8pow76fqt7056ne3mTvp+j3anCrr9udPJSysr79vtTi/edk6mK+5kF/GJvPnGnXQfTXGnokOb3/sYkoZ6nv29639F0pB+HDXTEH0tHjy7Uxp6cPnisuBRaUivV4vTkOeEqK3Z9qWhFR14obiRhrZ02nHk2Ic0dJBXo7up09LZbukuf7LS0hOm5kbRtFS/9q+PR8PT0j21PLRLS/vb/fuw3JC09Fflqv1+zUhLh3Nl8tm7Li3pvnY0LTll/vtV7E5aUtX762NaGl2LB4hU6ShN4Vcj+4Sko1drF5/JUigdnWxV68eRaulIt6226cg+t3/yg6Hp6OepDpvazE1Hg/paGZ5vTUf1el3I3+V8OirQfWDN78/TkV52E9ORT9aECycCPajH66uxfxTwIN3Xq3jQiRJxc7e38qCPzzw7xg7yoISm0rfodA/yVAvfOg9aFni737QjHqTr+5YHZei7Zcqj9x7ElC5IneJBw66OW5PH5Um6/+TzJEXNGPKkLbz6HmjgSfxmh5zv6mnqcYQn6WVhjidxs9jxYqMn6fXpmCdtnc5A3/Yk3VfeeZr3l+BJ+vZn9KJoe82hOdm8aNm39efCS3rhuXkRv/qnh9t4kZ6rBnjRHNe9FRUmetHpbW4H7y/xovl7S+ccvMOLuh0ZMCfkjJeiacHhe170q5Ff884fvMhveIc23klepKaZrRm9aXlwqtxNs3rTfp6Skop607X264ssr+JN6mUHNPMmPQ/08abN7Ud7xIz1Jpe6PQu9qc3ioZcab8fXz3hTfL7JlaZHetP4gM2h+b95k+HeB5z40NK1dflJ+dCPfrveVSYf8/7r+1C6FnxHOvuQWl6vD/WhoMrZqkZM9yE1Bd1e6UOfF2f8x3OfD4WP2Pk6+LIP8dDAC5oP+Tb5a8+FHz6kVttuGdLTsLIeG7/mSE9ZM8f2aFQuPXXhqWxvw/SUYd79kqJXeuLhjMlNT2X6XJt4a1l6ejaPb9SB9JS997qCfW+mpwN3uEF8SU+zuL0W8MpA3Z72nTw9Rwaq0D5g/FeZgfSY2zwD8dWHbxuUgfR8MScDbb5+t9Hn7RnI9PkM1LZIw0J5P2SgwW9//q+sR0ZSU1vjPzKSwjmxUkbKG9M194V2GSlctbWRGUnPh0sz0owC1Qc3PJSRduZjMu9npNu5S3YIis1IcX8UiPzhm4lCnuVt9yl/JlJlUjo8E3G1t1nWJRP9wdNOqvH837nO7mmxOhNVO1K7S49TmSisbqQ17EUmc7/dfKmleqN+vhTDU7nI5ktN1YMr6kvfRi9eHlfRl9QY0bOBL5l5wZf0fDzAl5iuqvPH+tJxtazP9SWXHhh8KWEEV9huX9p+cGaxtad8Sa1ekTd96SFPSSuf+9JX389vOnzzpaLLx4/O/9uX/vmTn0x6PzpymD8sP3KrwZ00rx/dydcx9GUpPxpTsOY67yp+lCY9P4n6frRqRvqao1r7UZ/Sj7M+6O5Hul8N9qPHXdx6jxrrR0M/N3h7e6YfrT8tRh9dwtdZ9Fas3+BHqfrxK9rjRwX5dg494UctspSPan/Fz9ThA/65gdwZXvmRWrZ8vvpRM37c1X/60dwtO9K5UvuTmff9qTHj0jXQn+pWUR3RnyyeCqrm9KfKqmEW8Ce17FQt6U9d9eDpbziu6k96bqntT8ouHjX2p/G8WnRu7U+j+1eZ+6OTP9VWhdTLn8I/pinmN8ifroWqB+VP2dTHaH9apzCZ6I91yZ+GK4GZ60/Gk/yp4ckNa2qt8KcH32NrNF3nTzykzm69xZ925OYOvcvfrKMH/GlCm4K5/nfM39yvM/w6vv7b8+NFf8PtdX+zPt7xJ7Vc5Ynkr6sLPfM3dfqav16SV9qP/qTnnm/8dbaeEnH+tOfCoGPLE/jrvDx7ugVQxU7lyxxKE2DWF68A2laVxSBjAM1R47N/AGl/CQ6goSU2/93YCiB9uzIHUIa8Y99nzx5A/C4zeuYKMP0tbwDddlcFEEBpPx56cqBIABkvCaAFT7gRlg6gS6crbO36dwDpubNCABWYueJn4SoBNGPppWFhNQJI60VEAGWftTrnu7r839xd45sEmNfbJoDyq0LpzNcpcmZngV4BpOxHDgwgj+9B1eoMCzD1MSaA9Ng6OYDUy5swi9/XrJK35y8IoGHBj5O2LA+gsRlqb5+7NoC6cztcvC2ACqaus+vUoQCKTb4z+MO5AHqf5e7SwNsBtMVu1qHMM7y+j3xd1QBjA6jR8s1bH6QE0F9ZeOX3DqRvAWGLCwUGktYuEUgtEl2Vs+UKJH/zDbMelw6kEfcynZlaMZD0WBMRSHpsaRRINx8owQqkCVdGDxrQNZDKnRgZ/qVfIMXsHpGl07BA2rR+WNzTcYGk7LTFjECqsi8m+c6CQHMfVwUST8Xrz20ONPdjbyBlHvep7oFjgZRGDQIXAunwnHbNtt0MpL6qsB4FUq7/tUqz4nUgqSkm5GsgzeVvz4oPJIW1dyqX4dvbRW87XJ/iFugy/V+4SPtMThdpHy3kouNFzz979ZfLrF8VXaT3AWq6yK8EG3gjF53PU3r25dYuGqEHQhcVU9/o5yKFT4lhLtJeNc5FjT8XPJxrhotUG1izwGXWuVUu0l622UXa6/a6qDJP7VOPuSjxeyiP3C7irhI+4qaLujxwZYmPdJGasnu/dtH1rcmTs0W56N8Z77LcTXZRob48uXkH0fN6h2uWDg6iWcV40sweROWDZgxeXiiItA+VC6L+armtEUQ8RT7a1SjI1FP7IBrXWD3ZICr+l6qEIHobpjYygmheUruLBecFUdWnNfklBpGibO72INrAU3rVI0Gk9xMuBBEPVU023A2iyZnbf232MogSW/BEFx1E3Rf9s2SVezA9vj+qf5XAYIpwTa3xMUcw6e2L4sGk7HhqjWBK9TS11+TWwaQwbN43mMrxVJ17TLCpx7nBtOHToFeX1gXT0wO7Ci85EGzm0DPBdLMqT6jXgyk8U6Hn9R4Fk9LXN2+D6e9lYxr8Ex1MBzpyJ/8dTIX/vH9hsVcIbY51cy/gCqE/juQtdyJLCBkfDKEP2VmESoYQN7Fp/SqG0ONdjc6nqR1CenuiWQhdL7+pTJ5OIVTdS92xEHM/h4dQ2QW5Pj6bGEL7WtfN0W9uCBXUhReC5xpC2fddu5V7fwj1VAPvqRAzP1wLoZncPp49DCF9uTchNIbbnHtUCF0tw6KbFEJVeZXP4Rlq5ueAUOIq+7da5lDaw7obmTeUVLvqUSKU1r+vViClfChlVRslEaGkbnf2pqEUqMSxQyhNZ/2r1ieUPNRC/r9QGvVfxSk9JoSa5zM71NTbslA6fqbyI2dTqNmu2RtKeh/jZKip9yuh8JZQyrwp6PevV6G0sC//6LdQClGDT3wozc/BN9QtjKr8MTD1Is8wUuN8tG8YVVaNIDSM1Gq2OmsYVZrS411injA6zWNygyJh1I81aGfpMIr6W+1chVFfNUiEh9H3KB4w64eR9r0WYfRNbV90CKNeaoHpEUZCFf7AMMPt8DDjFePCSO9zTQ8z6868MDPnLgsjvc2zPowuLDg8b+b2MOLpP9OH/WF0PrzkpPIn8LovhJl55kYYaX19GEaxalvlRZjh5mMYaY+MDqNdapvtRxit2PZoWr7EMNOfUsLM/XG36GmuYiXaelp09Qp/pLeIq55XBIv0NoPLotJq4yjMItXmezmW8ZdslpnLclnUecos/w35LMrptb1GpkIWqbczqJhleOB027dx/bDiFqndxRRO/X5LWLSBl9G0JS0qrsSSU2+7lLKoTkVeCTifRG7nTmxRN3UhTr0/WdqicWr7i1N7dBmLlt/gBZvzTx6vcpS16FDK3o3rOavqB22R3q/g1PPT35bxFs4INaBLix51vHVwL2cXtr5SZBkv4ByT34n6u7xFvmpjgJNlyFW5gmXmTs4DanysaJHGhJOv0rpuJYvaMF53OPW8WtkihWUk55i61ZeOrMLXU95fla83Muep8Zz51DZiNb7edvd3UzmD9EBskdKK6ZyFat857lfDomNvK9yay6nn93CL1DK7iLOTEoCaFultFE6tvREWZRwQSes5dZ3VsoyncO5jrSlU26KKt+ZO3s2px4I6FrVSAx+n2W/i56t+MafZ37HMHMJp9gMteIdFZdTlGlikfuwWZ0P9YdErhSFnn7FFhjZvZJHC9ynnlN2ZlrdtbBkeOTWvTSzj15wn/JQQ8vNR28uc/C4yDGhmmb7CGddbXdAitqVKyZy+fLWRLfh+luB30pKfj95YsMx62soy6waneruZWlum/jm/8MtzteHnw792Aafeh2pr0X+T1Qu0zBzZzjJzOade59tbpLdLOfW63oHrndveTk41LhfraJHZ3+Z6f8pi1InrXW1IcaptQurM9a7fMNe72o7pYpF6vJc4n6jH1pXr3V29E4v0be5mkXq39zi1J3fnem+rfrNl5tUeXO/88l5yVlW/tqdF6nLvOdupH+tl0bev/MGpdlv69bbIWzdmy/htH4v0Pj6n7t99LZL6By1SPzWWU/tNf4vecflN5hygH4hl/IBT76cNtMjmxzuPUz220EGWmTc5z/BtzvKPRer2rebUvjjYoh78djdyqreRfwjX5dhhN3Zz6m3ioVyXar+UU/1Yqf9Zxnc4q2sBtYif2vOTnB1UIQy3KEqNIZwajxEWpVc/yLlQlfO/vD6pgubco8pvpEV635ZTl8soi1QZPOf8oB7vaIv0PiKnfhxjLDOncOrbN9aCx1v0l3q74yzS+9ycxo8ts9/G2UtdboJl5qSJFk2aqD7A+SRwPgmcTwbnk8H5FHA+BZxPBedTwfk0cD4NnE8H59PB+QxwPgOczwTnM8H5LHA+C5zPBuezwfkccD4HnM8F53PB+X/g/D9wPg+czwPn88H5fHC+AJwvAOcLwflCcL4InC8C54vB+WJwvgScLwXnS8H5MnC+DJwvB+fLwfkKcL4CnK8E5yvB+Spwvgqcrwbnq8H5GnC+BpyvBedrwfk6cL4OnK8H5+vB+QZwvgGcbwTnG8H5JnC+CZxvBuebwfkWrku1Xcyp92m2WpTm3dTcXzhnjUgs3Wcb12VQt4gYzi1bH7QetN0y+4acelt+h0UNBuSYn8L5wmfOxtE7uS5XpzqSdhfXZek+1yZyTrr19LnPbq5Lvsx0TvVt/z0W6fMAzmOF+JO9mAs49f78Pq5LtU/OGTO9/oAc+y0axW1t/X5wfoDrsiELGmeeLxmOFToIzg+C80MWqWrZy6nPNQ6D88Pg/IhF6fx5QjwCzo+C86Pg/Bg4PwbOj4Pz4+D8BDg/Ac5PgvOT4PwUOD8Fzk+D89Pg/Aw4PwPOz4Lzs+D8HDg/B87Pg/ML4PwCOL8Izi+C80vg/BI4vwzOL4PzK+D8Cji/Cs6vgvNr4PwaOL8Ozq+D8xvg/AY4vwnOb4LzW+D8Fji/Dc5vg/M74PwOOL8Lzu+C83vg/B44vw/O74PzB+D8ATh/CM4fgvNIcB4Jzh+B80fg/DE4fwLOn4Dzp+D8KTh/Bs459THyc4s2jeZBi7Nk2InmWV5YZp7nrMfjV86XXJfPGQBOfU7yivsPT9fbOSesb3ypyGvL+AjnynvFvpV6Y1FBBQon0xAo33JdqsGN8z5/u/I7rssrLcMvcEa150/eW/SvAoozPWNW9wPXpTon5szFWDT+aBkv4lS7aS0/gfNP4PwzOP8Mzr+gn39BP/+Kfv4V/fwb+vk39PPv6Off0c+j0M+j0c+j0c9j0M9j0M9j0c9j0c/j0M/j0M9/oJ//QD+PRz+PB+c/0c9/op//ski9vO2cgeoBJ4DzBPTzRHCeCM6T0M+TwHkyOE8G57/B+W9wngLOU8C5m2045zTnSrbhnFNznto2nHNqzt1twzmn5jyNbTjn1JyntQ3nnJrzdLbhnFNz7mEbzj1twzmn5tzLNpxzas69bcM5p+bcxzacc2rO09uGc07NeQbbcM6pOc9o43zBNpxnsg3nnJpzX9twzqk597MN55yac38b+4c2qXKKCLDNeROnWubrB9qkjzk5x/Gy3NRlk1puH3OqbbXWQTbpc3vOQ5GTkzsG28ZHOe96dcnWI8SmdgoUTqahar9Qm4arwY3Tm789OMym+SkzRyRy5lCfWDbtYhxT2Tbp82JOhY+HsKkZYzGZU7W1DI5Nql3N5EytwMtsG845dT/PYhvOOTXnWW3Tzzl1P89mm37Oqft5dtv0c05zLmibfs6p+/kftunnnLqf57RNP+fU/TyXbfo5p+7nuW3Tzzl1P89jm37Oac7RbdPPOc35lm0459Sc57fN3M6p5/Y/bcM5p+a8gG0459ScF7QN55ya80K24ZxTc17YNpwXsQ3nnOZcwjacc+qyKmYbzjk158Vtwzmn5ryEjX1i23Be0jacc2rOS9mGc079Nv6yDeecmvPStuGcU/9YGdtwzqk5L2sbzjk15+Vswzmn5vxv23DOqTmXtuGcU3NO4JzAeXlwXh6cVwDnFcB5RXBeEZxXAueVwHllcM5p/NyGn4PzquC8GjivBs6rg/Pq4LwGOK8BzsPBeTg4rwnOa4LzCHAeAc5rgfNa4Lw2OK8NzuuA8zrgvC44rwvO64FzTuPnNvzchp/b8HMbfm7Dz234uQ0/t+HnNvzchp/b8HMbfm7Dz234uQ0/t+HnNvzchp/b8HMbfm7Dz234uQ0/B+etwXkbG35uw8/BeVtw3g6ctwPn7cF5e3DeAZx3AOcdwXlHcN4JnHcC553BeWdw3gWcdwHnXcF5V3DeDZx3A+fdwXl3cN4DnPcA5z3BeU9w3guc9wLnvcF5b3DeB5z3Aed9wXk/cN4PnPcH5/3B+QBwPgCcDwTnA8H5IHA+CJz/A87/AeeDwflgcD7Ehp/b8HMbfm6buf1/XJc8fp3gVGNVxWG2mds51RhUfTjXpRp4OPW/axxhm/NjTqUTDf+1zTkO5yu+TPORXJf87aecvztyhxrFdZnMn4wC56O5LvPzKxkNzseAc07V1gaMBedjwfk4cD4O/Xw8+vl4cD4BnE8E5xPB+SRwPgmcTwbnk8H5FK5LfvnLp4DzqeB8KjifBs6ngfPp4Hw6OJ8BzmeA85ngfCY4nwXOZ4Hz2eB8NjifA87ngPO54HwuOP8PnP8HzueB83ngfD44nw/OF4DzBeB8IThfCM4XgfNF4HwxOF8MzpeA86XgfCk4XwbOl4Hz5eB8OThfAc5XgPOV4HwlOF8FzleB89XgfDU4XwPO14DzteB8LThfB87XgfP14Hw9ON8AzjeA843gfCM43wTON4HzzeB8MzjfYsPPbfi5DT+34ec2/NyGn9vwcxt+bsPPbfi5DT+34ec2/NyGn9vwcxt+bsPPbfi5DT+34ec2/NyGn3Ndqv/hgA0/t+Hn4PwgOD8Ezg+B88Pg/DA4PwLOj4Dzo+D8KDg/Bs6PgfPj4Pw4OD8Bzk+A85PgnFNti3c5Bc45iyqRO8112Zx/w2lwfsamRzyWxnOqcXPoWa5LHiOTz6Kfn0M/P2+b/XZOvd9+wTb77ZzqMWS6aNNtvr1zONuoB3iJ65Jvx0JO9Tbty+CcU72sbFe4LpVAcu7gy+S+ynWpbiSnPg+/ZlMT9Qmn/ndt17kulWhyuqmCuMF1yWPuMU41vpa/adMG1s8znMXVIH2L65J18dItzO23MbffBud3wPkdcH4XnN8F5/fA+T1wfh+c3wfnD8D5A3D+EJw/BOeR4DwSnD8C54/A+WNw/gScPwHnT8H5U3D+DJxzGj/H3P4cc/sLG35uw89t+LkNP7fh5zb83Iaf2/BzG35uw89t+LkNP7fh5zb83Iaf2/BzG35uw89t+LkNP+c5k8vzOaf+9y+fwflncP4FnH8B51/B+Vdw/g2cfwPn38H5d3AeBc6jwXk0OI8B5zHgPBacx4LzOHAeB85/gPMf4DwenMejn/8E5z/B+S/M7b/AeQLm9gTM7YmY2xMxtyeB8yTM7cmY25Mxt//G3P4bnKdgbk/B3O4m4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4uaAaX3XxOzXkWAT8X8HOBc3VhOM8mDOecmvPswnDOqTnPIQznnJrzP4ThnFNznlMYzjk157mE4ZxTc55bGM45Ned5hOGcU3OeV+DfJwjDeT5hOOfUnOcX8HNhOP9TwM+F4byAgJ8L+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5MJwXF/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPwfnBM7Lg/Py4LwCOK8AziuC84rgvBI4rwTOK4NzTuPnAn4ucH4ucH4ucH4uTD+vLkw/59T9vIYw/ZxT9/NwYfo5p+7nNYXp55y6n0cI0885dT+vJUw/59T9vLYw/ZxT9/M6wvRzTt3P6wrTzzl1P68nTD+vB87rg/P64LwBOG8AzhuC84bgvBE4bwTOG4PzxuC8CThvAs6bgvOm4LwZOG8GzpuD8xbgvAU4bwnOW4LzVuC8FThvDc5bg/M24LwNOG8LztuC83bgvB04bw/O24PzDuC8AzjvCM47gvNO4LwTOO8MzjuD8y7gvAs47wrOu4LzbuC8GzjvDs67g/MewvTzHuC8JzjvCc57CdPPe4Hz3uCcU/fzPuC8DzjvC877gfN+4Lw/OO8PzgeAc07j5+B8IDgfBM4HgfN/wPk/4HwwOB8MzocI+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5MHP7aAE/F2ZuHyPM3M5p/FyYuZ1Tz+3jhJnbx4Hz8eB8AjifAM4ngvOJ4HwSOJ8Eziejn08G51PQz6eA86ngfCo4nwbOp4Hz6eB8Ovr5DPTzGeB8Jvr5THA+C5zPQj+fjX7OafxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM/B+RZwvlXAz8H5NnDOafxcwM/B+Q4BPxfwcwE/F/BzAT8X8HMBPxfwc/TzvQJ+LuDnAn4u4OcCfi7g5wJ+LuDn4PwgOD8Ezg+B88Pg/DA4PwLOj4Dzo+D8KDg/Bs6PgfPj4Pw4OD8Bzk+A85Po5yfRz0+hn59CPz+Nfn4a/fwM+vkZcH4W/fws5vZzmNvPYW4/j7n9Aub2C5jbL2Juv4i5/RI4v4S5/TI4v4y5/Qrm9iuY269ibr+Kuf0a5vZr4Pw6OL+Ouf0GOL+Buf0m5vab4PwWOL8Fzm+D89vg/A44vwPO74Lzu+D8Hji/B87vg/P74PwBOH8Azh+C84fgPBKcR4LzR+D8ETh/DM6fgPMn4PwpOH8Kzp+B82fo58/Rz5+jn79AP3+Bfv4S/fwl+vkr9PNX6Oev0c9fo5+/QT9/g37+Fv38Lfr5O/Tzd+jn79HP36Off0A//4B+/hH9/CP6+Sf080/o55/B+Wdw/gWcfwHnX8H5V3D+DZx/A+ffwfl39PMo9PNo9PNo9PMY9PMY9PNY9PNY9PM49PM49PMf6Oc/0M/j0c/j0c9/op//RD//hbn9F+b2BMztCZjbEzG3J2JuT8LcnoS5PRlzezLm9t+Y239jbk/B3J6Cud3NgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/dwzngY7hnFNz7nIM55ya8yAHfu4YzoMdwzmn5jzEwd+VOobzUMdwzqk5D3MM55yac8sxnHNqzm3HcC4cwzmn5txxDOec+u1mdnB+7uD83DH9nFP386wOzs8dnJ87OD93cH7u4Pzcwfm5g/NzB+fnDs7PHZyfOzg/d3B+7uD83MH5uYPzcwfn5w7Ozx2cnzs4P3dwfu7g/NzB+bkDP3dwfu7Azx2cnzvwcwd+7sDPHfi5Az934OcO/NyBnzvwcwd+7sDPHfi5g/NzB37uwM8d+LkDP3fg5w783IGfO/BzB37uwM8d+LkDP3fg5w783IGfO/BzB37uwM8d+Dnfz4NVntaUDvzcgZ+Dc07996rlwXl5cF4BnHPqv7epCM4rgvNKjvn7UE799yCV+X52f301tjI4rwLOq4DzquC8GjivBs6rg/Pq4LwGOK8BzsPBeTg4rwnOa4LzCHAeAc5rgfNa4Lw2OK8NzuuA8zrgvC44rwvO64FzTnN+7uD8HJw3AOcNwHlDcN4QnDdycH4OzhuD88bgvAk4bwLOm4LzpuC8GThvBs6bg/Pm4LwFOG8JzluC81bgvBU4bw3OW4PzNuC8DThvC87bgvN24LwdOG8PztuD8w7gvAM47wjOO4LzTuCc8/8z9yD+</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="324">
              <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>eJzt0q8KwlAUgPF1X8DH8BEWjUtiNFoEk0EZDDSIIIjBbLBZFAzGRaPBZlkxWUQF/xXhnh1hl10txu9XPu52tl22eR4A4KfI93Prmour389/1oFjznVcnx/4uXOf4/bcj/1Pa+m6IT21peWJtLiUdjam8XFvOr0cTZuFq/RxM/Vfdzm/Opsmr4NcV9mZRqVY7vecZ5/jDaVJP93HQLroSte9bEdRel2Y3f9sLN220rmmVL9LUs+u7er70Tl9P1r7+zrvE1jzYf5xe3+6Vvbzlet/c/2fAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD82Rvo02HA</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=169.103 Q3=152.100 sample=4 experiment=1 RT=2.52 ce=-15.00 name=phenylalanine-d5" defaultArrayLength="2264" 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="13172">
              <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="380">
              <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>eJzt0SFLQ1EYh/HBQO5HMIhfwCFYDXINA8FiETU5wy0WwaJxM5gMmxpFBlsZE4MOFCy3TCYYDAsGEZf2AQQxDt+/J9wzj0Xj8ysP51zOu3FOLgcAwH9bjTPL8mac3S8G6vj77lyiruyq8bb3PfS7/pzi7+fdudD/Hpub/DzPP1/d+97fUZ+O1Oe2tbz/YK3HQ+v6Wn7xqy/zU9bjyoz1fmvOunCgdboxbe1dR9ZS911zTwbWdKKv+YVH7S93tX5Ntb68U2u36uSNOnulNjpq4UJ9a6kfTbV3rnbqav9M/TxVo5paqqpLh9n7ce/p7imqqO4+g+/oBN537HvizQMAAAAAAAAAAAAAAAAAAAAAAAAAAAAA/NUIlhlV8g==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=121.100 Q3=121.100 sample=4 experiment=1 RT=3.11 ce=-10.00 name=proline-d7" defaultArrayLength="2264" 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="13172">
              <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>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=121.045 Q3=76.100 sample=4 experiment=1 RT=3.97 ce=-15.00 name=succinic_acid-13C4" defaultArrayLength="2264" 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="13172">
              <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>eJwtm2VgFckShQMBYkjsxmZ60MUXt0W2C5cQ3N3dbYEHLO4Oi7u7u7u7E9xdYgQi5FV3n/w52SQ7uXemvq76uklt6/2eUbXC5ahnC199i2ohtz1oPai200kuPhmdsO50T1np7in5755+8lD19KnzTRgkCx9reOZe06Ey7/cy/ZPKjZCpDt5vUW3RaJnfOj3pbvrxstHwbfva/TtJVvj7/cMtCVNlyRtd3ZeWmClr6l8wS1pDig6fNGWenFS+zZsb2RbLn17TIkIOLZe9io3cT6NXyeev/qo2MNdaGTx7XYMlwzfISVP2lWvw5xZZ80uRD48jt8scERtLJX7fKVdnP5g0IXa3HDtk1e9pdfbJae6n2g7bfEDOm/biTLd0h2XZo/XmZZ1+VLZ8XMV9sM8JmVIl9+r9HU/KlTu9KsYfPyUr2p9elgg7I3+t6Lz7Y/+zcrFP9fp5r52TeVrMOBWX+4K8fK5Pu+JjLsqeheulHvjkksy0pOiqPSWvyJ3pXBViZ12V9fv+eFH08zWZ8OXTib+y35Dhqx/PbHrjhlzS5GqbIcNvyvhF6oK3ZLU6SSH979+SC9N+eT977G2Zpf3XZhX+viN3RJR7szn+jqRSU3u7dt6VN7M9+jWi2z3ZeOTj7gVy3Jfvu+X7Mf/JfTm44dCRqeY/kF500bt7nYdyYd6Q/+54RcosE0M9xp6OlDv6dZn1Zdgj3OfH8vyhA9PSfX8sm6z1COmz8Yl8P6PRqoftnspeXxoHTrKfyZT765ZF330mq70YGrit6nO5UrSc/X3TczlwTkiaRhlfyGvXE0Yt6PtC5kr/JCXyzgs5strx4aLUS/lw7MrE1otfyiInx/AdfynTlZSfPNq9kq37Z+1a4+wrWWnH/DnlCr6Wa3K+21l/4Ws5sb26829kzxW305Xu+UZeDcr+R537b+Su+gtrVyz/Vvpfet+z6ea3Mj5d6wU1Xe/ko4qq0N7JModyvGj44Z3Mom/gezmy58c8rY++lx03tWlQL9cHWePdvRGVZ32Q+W724CfzUc4elYcr8aP8Vfjttj9ef5StX67qmanhJ3luduv8v85+kn/qB/1Zzol5sPHK+s8yYfV/XfaFfJFt+WorJn2R59Nkejsp4Yvc+HXNgnndv8qJ45rdPvLqq+yzsWXOpc2/yftNw96Mv/JNrvypfsF32YirP6zjd3k49etW/Vd+l/xwIjve+i5/REwokybxu/QbOdt1L0uUvD3/QJdHFaNkvZqXi0d3ipJzSqeKGDstSj7hKpm+LUryTXs44XqUbDq+1L2zX6Jk9VObb7mnj5alfzvXy+eNljcyb620u3K03FJ+nO/wDtHmfo6Jlh3HFd/guypall+fYUDkiWgpLr6Ra55Fy7K1bs5q8TtahqgXLmJk7Cx1Y2Lkjd1N4w42i5Fb7xbmJxcjGYqBfRfHyFM3krdHHI2RSRujbkW8jJHFx7yJi/CIlb1bPAyplT9Wflrw/GTZurEyR787r8sOipWtwi94lFscKyMnXN+R70SsDGh7+na+N7EyovT+H/m84+SQDzkLe+aPk+30heLkjNfRmW/1jpO3ahRrPnVunHTtHDivysE4GbRndbj/0zjZTN3W1D/AyQ9ZWBV2gx+y2/zq/IR/yDXqMW38IZ/OmcBP5Ie8W2DOta3JP2TGP3ct/ZYrXqa9cPRthXrxUp57vHfssHg55Ezi2HPr4uWuU2ENPG/Gy89MZY3EeJnzeJPoKX/8lK2P/nPyau2fslGTMd5Zh/6UnjGVkq2VP+VBpiXowk/ZLfeFl37ffsqHavkL+iUnJ5SsEFrul8zhXv/5P51+yQ7qhc/+JdfmcXXOfOyXfFN2UN6YD79knayVMoeGJMhB+gUlyCUfwlvs6Zkgvywrm//OogT5d4M/k2LOJ8gZXs6VgLgE+fxYxiVFsyXKwgNSutevnSjPTFULV6JUq8qojYmyU/zrtivvJcr9W/iBuSdJz3bnUr0olCSbBu+/6dYqSW66sn5llilJUq0eBQ4kyemLlpyv9SZJPqs9bX4v/2TZ+3IzEVA2WR59FSgudkyWEQqIGcnS/69u/ZzDydL3w/7t7u+SpV7W/X/L03G5W8yo8FvyTTrepN9v8/pW/ZaZGvqkJN38LQfowkyRF08E/lz6V4p8dKf+saG9U2Rv/zEnLq1MkZV3n63mdSdF9hg8dG1+dzc6QKNfng9xI1Gqc6WuBd3oBVdRShU3WhPu3+q/Vm7U+e67bvkGuVFe9UCmudHGi0M+N1jnRrqMj7nR2pefT3d+4EaH+3ZsXyrKjQI7RE2M90pFV9b07348WypS1TWhTCoKyVk/7ep6qchLLeDdUpGup9GpaOO/2efeXJyKGhVt0urZnlTUdsjw2y+upaJLGdQKnIqu/T1sfMtUqWlSvGo8qekN3+1iBVPTirCCT3JUSU1JY8/lTN8yNQXeqPTg+wD+ua27i12alpoUFlvWpaab+yZsGnc8NXFT6NXiYWpKt+7EtytRqalz17lWER93Muu3O4V57xp8pow76fqt7056ne3mTvp+j3anCrr9udPJSysr79vtTi/edk6mK+5kF/GJvPnGnXQfTXGnokOb3/sYkoZ6nv29639F0pB+HDXTEH0tHjy7Uxp6cPnisuBRaUivV4vTkOeEqK3Z9qWhFR14obiRhrZ02nHk2Ic0dJBXo7up09LZbukuf7LS0hOm5kbRtFS/9q+PR8PT0j21PLRLS/vb/fuw3JC09Fflqv1+zUhLh3Nl8tm7Li3pvnY0LTll/vtV7E5aUtX762NaGl2LB4hU6ShN4Vcj+4Sko1drF5/JUigdnWxV68eRaulIt6226cg+t3/yg6Hp6OepDpvazE1Hg/paGZ5vTUf1el3I3+V8OirQfWDN78/TkV52E9ORT9aECycCPajH66uxfxTwIN3Xq3jQiRJxc7e38qCPzzw7xg7yoISm0rfodA/yVAvfOg9aFni737QjHqTr+5YHZei7Zcqj9x7ElC5IneJBw66OW5PH5Um6/+TzJEXNGPKkLbz6HmjgSfxmh5zv6mnqcYQn6WVhjidxs9jxYqMn6fXpmCdtnc5A3/Yk3VfeeZr3l+BJ+vZn9KJoe82hOdm8aNm39efCS3rhuXkRv/qnh9t4kZ6rBnjRHNe9FRUmetHpbW4H7y/xovl7S+ccvMOLuh0ZMCfkjJeiacHhe170q5Ff884fvMhveIc23klepKaZrRm9aXlwqtxNs3rTfp6Skop607X264ssr+JN6mUHNPMmPQ/08abN7Ud7xIz1Jpe6PQu9qc3ioZcab8fXz3hTfL7JlaZHetP4gM2h+b95k+HeB5z40NK1dflJ+dCPfrveVSYf8/7r+1C6FnxHOvuQWl6vD/WhoMrZqkZM9yE1Bd1e6UOfF2f8x3OfD4WP2Pk6+LIP8dDAC5oP+Tb5a8+FHz6kVttuGdLTsLIeG7/mSE9ZM8f2aFQuPXXhqWxvw/SUYd79kqJXeuLhjMlNT2X6XJt4a1l6ejaPb9SB9JS997qCfW+mpwN3uEF8SU+zuL0W8MpA3Z72nTw9Rwaq0D5g/FeZgfSY2zwD8dWHbxuUgfR8MScDbb5+t9Hn7RnI9PkM1LZIw0J5P2SgwW9//q+sR0ZSU1vjPzKSwjmxUkbKG9M194V2GSlctbWRGUnPh0sz0owC1Qc3PJSRduZjMu9npNu5S3YIis1IcX8UiPzhm4lCnuVt9yl/JlJlUjo8E3G1t1nWJRP9wdNOqvH837nO7mmxOhNVO1K7S49TmSisbqQ17EUmc7/dfKmleqN+vhTDU7nI5ktN1YMr6kvfRi9eHlfRl9QY0bOBL5l5wZf0fDzAl5iuqvPH+tJxtazP9SWXHhh8KWEEV9huX9p+cGaxtad8Sa1ekTd96SFPSSuf+9JX389vOnzzpaLLx4/O/9uX/vmTn0x6PzpymD8sP3KrwZ00rx/dydcx9GUpPxpTsOY67yp+lCY9P4n6frRqRvqao1r7UZ/Sj7M+6O5Hul8N9qPHXdx6jxrrR0M/N3h7e6YfrT8tRh9dwtdZ9Fas3+BHqfrxK9rjRwX5dg494UctspSPan/Fz9ThA/65gdwZXvmRWrZ8vvpRM37c1X/60dwtO9K5UvuTmff9qTHj0jXQn+pWUR3RnyyeCqrm9KfKqmEW8Ce17FQt6U9d9eDpbziu6k96bqntT8ouHjX2p/G8WnRu7U+j+1eZ+6OTP9VWhdTLn8I/pinmN8ifroWqB+VP2dTHaH9apzCZ6I91yZ+GK4GZ60/Gk/yp4ckNa2qt8KcH32NrNF3nTzykzm69xZ925OYOvcvfrKMH/GlCm4K5/nfM39yvM/w6vv7b8+NFf8PtdX+zPt7xJ7Vc5Ynkr6sLPfM3dfqav16SV9qP/qTnnm/8dbaeEnH+tOfCoGPLE/jrvDx7ugVQxU7lyxxKE2DWF68A2laVxSBjAM1R47N/AGl/CQ6goSU2/93YCiB9uzIHUIa8Y99nzx5A/C4zeuYKMP0tbwDddlcFEEBpPx56cqBIABkvCaAFT7gRlg6gS6crbO36dwDpubNCABWYueJn4SoBNGPppWFhNQJI60VEAGWftTrnu7r839xd45sEmNfbJoDyq0LpzNcpcmZngV4BpOxHDgwgj+9B1eoMCzD1MSaA9Ng6OYDUy5swi9/XrJK35y8IoGHBj5O2LA+gsRlqb5+7NoC6cztcvC2ACqaus+vUoQCKTb4z+MO5AHqf5e7SwNsBtMVu1qHMM7y+j3xd1QBjA6jR8s1bH6QE0F9ZeOX3DqRvAWGLCwUGktYuEUgtEl2Vs+UKJH/zDbMelw6kEfcynZlaMZD0WBMRSHpsaRRINx8owQqkCVdGDxrQNZDKnRgZ/qVfIMXsHpGl07BA2rR+WNzTcYGk7LTFjECqsi8m+c6CQHMfVwUST8Xrz20ONPdjbyBlHvep7oFjgZRGDQIXAunwnHbNtt0MpL6qsB4FUq7/tUqz4nUgqSkm5GsgzeVvz4oPJIW1dyqX4dvbRW87XJ/iFugy/V+4SPtMThdpHy3kouNFzz979ZfLrF8VXaT3AWq6yK8EG3gjF53PU3r25dYuGqEHQhcVU9/o5yKFT4lhLtJeNc5FjT8XPJxrhotUG1izwGXWuVUu0l622UXa6/a6qDJP7VOPuSjxeyiP3C7irhI+4qaLujxwZYmPdJGasnu/dtH1rcmTs0W56N8Z77LcTXZRob48uXkH0fN6h2uWDg6iWcV40sweROWDZgxeXiiItA+VC6L+armtEUQ8RT7a1SjI1FP7IBrXWD3ZICr+l6qEIHobpjYygmheUruLBecFUdWnNfklBpGibO72INrAU3rVI0Gk9xMuBBEPVU023A2iyZnbf232MogSW/BEFx1E3Rf9s2SVezA9vj+qf5XAYIpwTa3xMUcw6e2L4sGk7HhqjWBK9TS11+TWwaQwbN43mMrxVJ17TLCpx7nBtOHToFeX1gXT0wO7Ci85EGzm0DPBdLMqT6jXgyk8U6Hn9R4Fk9LXN2+D6e9lYxr8Ex1MBzpyJ/8dTIX/vH9hsVcIbY51cy/gCqE/juQtdyJLCBkfDKEP2VmESoYQN7Fp/SqG0ONdjc6nqR1CenuiWQhdL7+pTJ5OIVTdS92xEHM/h4dQ2QW5Pj6bGEL7WtfN0W9uCBXUhReC5xpC2fddu5V7fwj1VAPvqRAzP1wLoZncPp49DCF9uTchNIbbnHtUCF0tw6KbFEJVeZXP4Rlq5ueAUOIq+7da5lDaw7obmTeUVLvqUSKU1r+vViClfChlVRslEaGkbnf2pqEUqMSxQyhNZ/2r1ieUPNRC/r9QGvVfxSk9JoSa5zM71NTbslA6fqbyI2dTqNmu2RtKeh/jZKip9yuh8JZQyrwp6PevV6G0sC//6LdQClGDT3wozc/BN9QtjKr8MTD1Is8wUuN8tG8YVVaNIDSM1Gq2OmsYVZrS411injA6zWNygyJh1I81aGfpMIr6W+1chVFfNUiEh9H3KB4w64eR9r0WYfRNbV90CKNeaoHpEUZCFf7AMMPt8DDjFePCSO9zTQ8z6868MDPnLgsjvc2zPowuLDg8b+b2MOLpP9OH/WF0PrzkpPIn8LovhJl55kYYaX19GEaxalvlRZjh5mMYaY+MDqNdapvtRxit2PZoWr7EMNOfUsLM/XG36GmuYiXaelp09Qp/pLeIq55XBIv0NoPLotJq4yjMItXmezmW8ZdslpnLclnUecos/w35LMrptb1GpkIWqbczqJhleOB027dx/bDiFqndxRRO/X5LWLSBl9G0JS0qrsSSU2+7lLKoTkVeCTifRG7nTmxRN3UhTr0/WdqicWr7i1N7dBmLlt/gBZvzTx6vcpS16FDK3o3rOavqB22R3q/g1PPT35bxFs4INaBLix51vHVwL2cXtr5SZBkv4ByT34n6u7xFvmpjgJNlyFW5gmXmTs4DanysaJHGhJOv0rpuJYvaMF53OPW8WtkihWUk55i61ZeOrMLXU95fla83Muep8Zz51DZiNb7edvd3UzmD9EBskdKK6ZyFat857lfDomNvK9yay6nn93CL1DK7iLOTEoCaFultFE6tvREWZRwQSes5dZ3VsoyncO5jrSlU26KKt+ZO3s2px4I6FrVSAx+n2W/i56t+MafZ37HMHMJp9gMteIdFZdTlGlikfuwWZ0P9YdErhSFnn7FFhjZvZJHC9ynnlN2ZlrdtbBkeOTWvTSzj15wn/JQQ8vNR28uc/C4yDGhmmb7CGddbXdAitqVKyZy+fLWRLfh+luB30pKfj95YsMx62soy6waneruZWlum/jm/8MtzteHnw792Aafeh2pr0X+T1Qu0zBzZzjJzOade59tbpLdLOfW63oHrndveTk41LhfraJHZ3+Z6f8pi1InrXW1IcaptQurM9a7fMNe72o7pYpF6vJc4n6jH1pXr3V29E4v0be5mkXq39zi1J3fnem+rfrNl5tUeXO/88l5yVlW/tqdF6nLvOdupH+tl0bev/MGpdlv69bbIWzdmy/htH4v0Pj6n7t99LZL6By1SPzWWU/tNf4vecflN5hygH4hl/IBT76cNtMjmxzuPUz220EGWmTc5z/BtzvKPRer2rebUvjjYoh78djdyqreRfwjX5dhhN3Zz6m3ioVyXar+UU/1Yqf9Zxnc4q2sBtYif2vOTnB1UIQy3KEqNIZwajxEWpVc/yLlQlfO/vD6pgubco8pvpEV635ZTl8soi1QZPOf8oB7vaIv0PiKnfhxjLDOncOrbN9aCx1v0l3q74yzS+9ycxo8ts9/G2UtdboJl5qSJFk2aqD7A+SRwPgmcTwbnk8H5FHA+BZxPBedTwfk0cD4NnE8H59PB+QxwPgOczwTnM8H5LHA+C5zPBuezwfkccD4HnM8F53PB+X/g/D9wPg+czwPn88H5fHC+AJwvAOcLwflCcL4InC8C54vB+WJwvgScLwXnS8H5MnC+DJwvB+fLwfkKcL4CnK8E5yvB+Spwvgqcrwbnq8H5GnC+BpyvBedrwfk6cL4OnK8H5+vB+QZwvgGcbwTnG8H5JnC+CZxvBuebwfkWrku1Xcyp92m2WpTm3dTcXzhnjUgs3Wcb12VQt4gYzi1bH7QetN0y+4acelt+h0UNBuSYn8L5wmfOxtE7uS5XpzqSdhfXZek+1yZyTrr19LnPbq5Lvsx0TvVt/z0W6fMAzmOF+JO9mAs49f78Pq5LtU/OGTO9/oAc+y0axW1t/X5wfoDrsiELGmeeLxmOFToIzg+C80MWqWrZy6nPNQ6D88Pg/IhF6fx5QjwCzo+C86Pg/Bg4PwbOj4Pz4+D8BDg/Ac5PgvOT4PwUOD8Fzk+D89Pg/Aw4PwPOz4Lzs+D8HDg/B87Pg/ML4PwCOL8Izi+C80vg/BI4vwzOL4PzK+D8Cji/Cs6vgvNr4PwaOL8Ozq+D8xvg/AY4vwnOb4LzW+D8Fji/Dc5vg/M74PwOOL8Lzu+C83vg/B44vw/O74PzB+D8ATh/CM4fgvNIcB4Jzh+B80fg/DE4fwLOn4Dzp+D8KTh/Bs459THyc4s2jeZBi7Nk2InmWV5YZp7nrMfjV86XXJfPGQBOfU7yivsPT9fbOSesb3ypyGvL+AjnynvFvpV6Y1FBBQon0xAo33JdqsGN8z5/u/I7rssrLcMvcEa150/eW/SvAoozPWNW9wPXpTon5szFWDT+aBkv4lS7aS0/gfNP4PwzOP8Mzr+gn39BP/+Kfv4V/fwb+vk39PPv6Off0c+j0M+j0c+j0c9j0M9j0M9j0c9j0c/j0M/j0M9/oJ//QD+PRz+PB+c/0c9/op//ski9vO2cgeoBJ4DzBPTzRHCeCM6T0M+TwHkyOE8G57/B+W9wngLOU8C5m2045zTnSrbhnFNznto2nHNqzt1twzmn5jyNbTjn1JyntQ3nnJrzdLbhnFNz7mEbzj1twzmn5tzLNpxzas69bcM5p+bcxzacc2rO09uGc07NeQbbcM6pOc9o43zBNpxnsg3nnJpzX9twzqk597MN55yac38b+4c2qXKKCLDNeROnWubrB9qkjzk5x/Gy3NRlk1puH3OqbbXWQTbpc3vOQ5GTkzsG28ZHOe96dcnWI8SmdgoUTqahar9Qm4arwY3Tm789OMym+SkzRyRy5lCfWDbtYhxT2Tbp82JOhY+HsKkZYzGZU7W1DI5Nql3N5EytwMtsG845dT/PYhvOOTXnWW3Tzzl1P89mm37Oqft5dtv0c05zLmibfs6p+/kftunnnLqf57RNP+fU/TyXbfo5p+7nuW3Tzzl1P89jm37Oac7RbdPPOc35lm0459Sc57fN3M6p5/Y/bcM5p+a8gG0459ScF7QN55ya80K24ZxTc17YNpwXsQ3nnOZcwjacc+qyKmYbzjk158Vtwzmn5ryEjX1i23Be0jacc2rOS9mGc079Nv6yDeecmvPStuGcU/9YGdtwzqk5L2sbzjk15+Vswzmn5vxv23DOqTmXtuGcU3NO4JzAeXlwXh6cVwDnFcB5RXBeEZxXAueVwHllcM5p/NyGn4PzquC8GjivBs6rg/Pq4LwGOK8BzsPBeTg4rwnOa4LzCHAeAc5rgfNa4Lw2OK8NzuuA8zrgvC44rwvO64FzTuPnNvzchp/b8HMbfm7Dz234uQ0/t+HnNvzchp/b8HMbfm7Dz234uQ0/t+HnNvzchp/b8HMbfm7Dz234uQ0/B+etwXkbG35uw8/BeVtw3g6ctwPn7cF5e3DeAZx3AOcdwXlHcN4JnHcC553BeWdw3gWcdwHnXcF5V3DeDZx3A+fdwXl3cN4DnPcA5z3BeU9w3guc9wLnvcF5b3DeB5z3Aed9wXk/cN4PnPcH5/3B+QBwPgCcDwTnA8H5IHA+CJz/A87/AeeDwflgcD7Ehp/b8HMbfm6buf1/XJc8fp3gVGNVxWG2mds51RhUfTjXpRp4OPW/axxhm/NjTqUTDf+1zTkO5yu+TPORXJf87aecvztyhxrFdZnMn4wC56O5LvPzKxkNzseAc07V1gaMBedjwfk4cD4O/Xw8+vl4cD4BnE8E5xPB+SRwPgmcTwbnk8H5FK5LfvnLp4DzqeB8KjifBs6ngfPp4Hw6OJ8BzmeA85ngfCY4nwXOZ4Hz2eB8NjifA87ngPO54HwuOP8PnP8HzueB83ngfD44nw/OF4DzBeB8IThfCM4XgfNF4HwxOF8MzpeA86XgfCk4XwbOl4Hz5eB8OThfAc5XgPOV4HwlOF8FzleB89XgfDU4XwPO14DzteB8LThfB87XgfP14Hw9ON8AzjeA843gfCM43wTON4HzzeB8MzjfYsPPbfi5DT+34ec2/NyGn9vwcxt+bsPPbfi5DT+34ec2/NyGn9vwcxt+bsPPbfi5DT+34ec2/NyGn3Ndqv/hgA0/t+Hn4PwgOD8Ezg+B88Pg/DA4PwLOj4Dzo+D8KDg/Bs6PgfPj4Pw4OD8Bzk+A85PgnFNti3c5Bc45iyqRO8112Zx/w2lwfsamRzyWxnOqcXPoWa5LHiOTz6Kfn0M/P2+b/XZOvd9+wTb77ZzqMWS6aNNtvr1zONuoB3iJ65Jvx0JO9Tbty+CcU72sbFe4LpVAcu7gy+S+ynWpbiSnPg+/ZlMT9Qmn/ndt17kulWhyuqmCuMF1yWPuMU41vpa/adMG1s8znMXVIH2L65J18dItzO23MbffBud3wPkdcH4XnN8F5/fA+T1wfh+c3wfnD8D5A3D+EJw/BOeR4DwSnD8C54/A+WNw/gScPwHnT8H5U3D+DJxzGj/H3P4cc/sLG35uw89t+LkNP7fh5zb83Iaf2/BzG35uw89t+LkNP7fh5zb83Iaf2/BzG35uw89t+LkNP+c5k8vzOaf+9y+fwflncP4FnH8B51/B+Vdw/g2cfwPn38H5d3AeBc6jwXk0OI8B5zHgPBacx4LzOHAeB85/gPMf4DwenMejn/8E5z/B+S/M7b/AeQLm9gTM7YmY2xMxtyeB8yTM7cmY25Mxt//G3P4bnKdgbk/B3O4m4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4uaAaX3XxOzXkWAT8X8HOBc3VhOM8mDOecmvPswnDOqTnPIQznnJrzP4ThnFNznlMYzjk157mE4ZxTc55bGM45Ned5hOGcU3OeV+DfJwjDeT5hOOfUnOcX8HNhOP9TwM+F4byAgJ8L+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5MJwXF/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPwfnBM7Lg/Py4LwCOK8AziuC84rgvBI4rwTOK4NzTuPnAn4ucH4ucH4ucH4uTD+vLkw/59T9vIYw/ZxT9/NwYfo5p+7nNYXp55y6n0cI0885dT+vJUw/59T9vLYw/ZxT9/M6wvRzTt3P6wrTzzl1P68nTD+vB87rg/P64LwBOG8AzhuC84bgvBE4bwTOG4PzxuC8CThvAs6bgvOm4LwZOG8GzpuD8xbgvAU4bwnOW4LzVuC8FThvDc5bg/M24LwNOG8LztuC83bgvB04bw/O24PzDuC8AzjvCM47gvNO4LwTOO8MzjuD8y7gvAs47wrOu4LzbuC8GzjvDs67g/MewvTzHuC8JzjvCc57CdPPe4Hz3uCcU/fzPuC8DzjvC877gfN+4Lw/OO8PzgeAc07j5+B8IDgfBM4HgfN/wPk/4HwwOB8MzocI+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5MHP7aAE/F2ZuHyPM3M5p/FyYuZ1Tz+3jhJnbx4Hz8eB8AjifAM4ngvOJ4HwSOJ8Eziejn08G51PQz6eA86ngfCo4nwbOp4Hz6eB8Ovr5DPTzGeB8Jvr5THA+C5zPQj+fjX7OafxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM/B+RZwvlXAz8H5NnDOafxcwM/B+Q4BPxfwcwE/F/BzAT8X8HMBPxfwc/TzvQJ+LuDnAn4u4OcCfi7g5wJ+LuDn4PwgOD8Ezg+B88Pg/DA4PwLOj4Dzo+D8KDg/Bs6PgfPj4Pw4OD8Bzk+A85Po5yfRz0+hn59CPz+Nfn4a/fwM+vkZcH4W/fws5vZzmNvPYW4/j7n9Aub2C5jbL2Juv4i5/RI4v4S5/TI4v4y5/Qrm9iuY269ibr+Kuf0a5vZr4Pw6OL+Ouf0GOL+Buf0m5vab4PwWOL8Fzm+D89vg/A44vwPO74Lzu+D8Hji/B87vg/P74PwBOH8Azh+C84fgPBKcR4LzR+D8ETh/DM6fgPMn4PwpOH8Kzp+B82fo58/Rz5+jn79AP3+Bfv4S/fwl+vkr9PNX6Oev0c9fo5+/QT9/g37+Fv38Lfr5O/Tzd+jn79HP36Off0A//4B+/hH9/CP6+Sf080/o55/B+Wdw/gWcfwHnX8H5V3D+DZx/A+ffwfl39PMo9PNo9PNo9PMY9PMY9PNY9PNY9PM49PM49PMf6Oc/0M/j0c/j0c9/op//RD//hbn9F+b2BMztCZjbEzG3J2JuT8LcnoS5PRlzezLm9t+Y239jbk/B3J6Cud3NgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/dwzngY7hnFNz7nIM55ya8yAHfu4YzoMdwzmn5jzEwd+VOobzUMdwzqk5D3MM55yac8sxnHNqzm3HcC4cwzmn5txxDOec+u1mdnB+7uD83DH9nFP386wOzs8dnJ87OD93cH7u4Pzcwfm5g/NzB+fnDs7PHZyfOzg/d3B+7uD83MH5uYPzcwfn5w7Ozx2cnzs4P3dwfu7g/NzB+bkDP3dwfu7Azx2cnzvwcwd+7sDPHfi5Az934OcO/NyBnzvwcwd+7sDPHfi5g/NzB37uwM8d+LkDP3fg5w783IGfO/BzB37uwM8d+LkDP3fg5w783IGfO/BzB37uwM8d+Dnfz4NVntaUDvzcgZ+Dc07996rlwXl5cF4BnHPqv7epCM4rgvNKjvn7UE799yCV+X52f301tjI4rwLOq4DzquC8GjivBs6rg/Pq4LwGOK8BzsPBeTg4rwnOa4LzCHAeAc5rgfNa4Lw2OK8NzuuA8zrgvC44rwvO64FzTnN+7uD8HJw3AOcNwHlDcN4QnDdycH4OzhuD88bgvAk4bwLOm4LzpuC8GThvBs6bg/Pm4LwFOG8JzluC81bgvBU4bw3OW4PzNuC8DThvC87bgvN24LwdOG8PztuD8w7gvAM47wjOO4LzTuCc8/8z9yD+</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>eJzt0bENgkAUgGFGYQ8bW0egM6FyCBMLex2DklLiAhqXsnhAcUiCoAnF9zV/LnBwPLIMAABW7rTb/vT+9Hq3/vY9/f5i3r7Jz2/PtT9EH5foponeXtH7M3qso/U1Wp2jefm5Y98/No903+C8yTy6dd+J8176XwAAAAAAAAAAAAAAAAAA+Ls3vFQhow==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=150.093 Q3=131.100 sample=4 experiment=1 RT=3.80 ce=-15.00 name=glutamine-d5" defaultArrayLength="2264" 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="13172">
              <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>eJwtm2VgFckShQMBYkjsxmZ60MUXt0W2C5cQ3N3dbYEHLO4Oi7u7u7u7E9xdYgQi5FV3n/w52SQ7uXemvq76uklt6/2eUbXC5ahnC199i2ohtz1oPai200kuPhmdsO50T1np7in5755+8lD19KnzTRgkCx9reOZe06Ey7/cy/ZPKjZCpDt5vUW3RaJnfOj3pbvrxstHwbfva/TtJVvj7/cMtCVNlyRtd3ZeWmClr6l8wS1pDig6fNGWenFS+zZsb2RbLn17TIkIOLZe9io3cT6NXyeev/qo2MNdaGTx7XYMlwzfISVP2lWvw5xZZ80uRD48jt8scERtLJX7fKVdnP5g0IXa3HDtk1e9pdfbJae6n2g7bfEDOm/biTLd0h2XZo/XmZZ1+VLZ8XMV9sM8JmVIl9+r9HU/KlTu9KsYfPyUr2p9elgg7I3+t6Lz7Y/+zcrFP9fp5r52TeVrMOBWX+4K8fK5Pu+JjLsqeheulHvjkksy0pOiqPSWvyJ3pXBViZ12V9fv+eFH08zWZ8OXTib+y35Dhqx/PbHrjhlzS5GqbIcNvyvhF6oK3ZLU6SSH979+SC9N+eT977G2Zpf3XZhX+viN3RJR7szn+jqRSU3u7dt6VN7M9+jWi2z3ZeOTj7gVy3Jfvu+X7Mf/JfTm44dCRqeY/kF500bt7nYdyYd6Q/+54RcosE0M9xp6OlDv6dZn1Zdgj3OfH8vyhA9PSfX8sm6z1COmz8Yl8P6PRqoftnspeXxoHTrKfyZT765ZF330mq70YGrit6nO5UrSc/X3TczlwTkiaRhlfyGvXE0Yt6PtC5kr/JCXyzgs5strx4aLUS/lw7MrE1otfyiInx/AdfynTlZSfPNq9kq37Z+1a4+wrWWnH/DnlCr6Wa3K+21l/4Ws5sb26829kzxW305Xu+UZeDcr+R537b+Su+gtrVyz/Vvpfet+z6ea3Mj5d6wU1Xe/ko4qq0N7JModyvGj44Z3Mom/gezmy58c8rY++lx03tWlQL9cHWePdvRGVZ32Q+W724CfzUc4elYcr8aP8Vfjttj9ef5StX67qmanhJ3luduv8v85+kn/qB/1Zzol5sPHK+s8yYfV/XfaFfJFt+WorJn2R59Nkejsp4Yvc+HXNgnndv8qJ45rdPvLqq+yzsWXOpc2/yftNw96Mv/JNrvypfsF32YirP6zjd3k49etW/Vd+l/xwIjve+i5/REwokybxu/QbOdt1L0uUvD3/QJdHFaNkvZqXi0d3ipJzSqeKGDstSj7hKpm+LUryTXs44XqUbDq+1L2zX6Jk9VObb7mnj5alfzvXy+eNljcyb620u3K03FJ+nO/wDtHmfo6Jlh3HFd/guypall+fYUDkiWgpLr6Ra55Fy7K1bs5q8TtahqgXLmJk7Cx1Y2Lkjd1N4w42i5Fb7xbmJxcjGYqBfRfHyFM3krdHHI2RSRujbkW8jJHFx7yJi/CIlb1bPAyplT9Wflrw/GTZurEyR787r8sOipWtwi94lFscKyMnXN+R70SsDGh7+na+N7EyovT+H/m84+SQDzkLe+aPk+30heLkjNfRmW/1jpO3ahRrPnVunHTtHDivysE4GbRndbj/0zjZTN3W1D/AyQ9ZWBV2gx+y2/zq/IR/yDXqMW38IZ/OmcBP5Ie8W2DOta3JP2TGP3ct/ZYrXqa9cPRthXrxUp57vHfssHg55Ezi2HPr4uWuU2ENPG/Gy89MZY3EeJnzeJPoKX/8lK2P/nPyau2fslGTMd5Zh/6UnjGVkq2VP+VBpiXowk/ZLfeFl37ffsqHavkL+iUnJ5SsEFrul8zhXv/5P51+yQ7qhc/+JdfmcXXOfOyXfFN2UN6YD79knayVMoeGJMhB+gUlyCUfwlvs6Zkgvywrm//OogT5d4M/k2LOJ8gZXs6VgLgE+fxYxiVFsyXKwgNSutevnSjPTFULV6JUq8qojYmyU/zrtivvJcr9W/iBuSdJz3bnUr0olCSbBu+/6dYqSW66sn5llilJUq0eBQ4kyemLlpyv9SZJPqs9bX4v/2TZ+3IzEVA2WR59FSgudkyWEQqIGcnS/69u/ZzDydL3w/7t7u+SpV7W/X/L03G5W8yo8FvyTTrepN9v8/pW/ZaZGvqkJN38LQfowkyRF08E/lz6V4p8dKf+saG9U2Rv/zEnLq1MkZV3n63mdSdF9hg8dG1+dzc6QKNfng9xI1Gqc6WuBd3oBVdRShU3WhPu3+q/Vm7U+e67bvkGuVFe9UCmudHGi0M+N1jnRrqMj7nR2pefT3d+4EaH+3ZsXyrKjQI7RE2M90pFV9b07348WypS1TWhTCoKyVk/7ep6qchLLeDdUpGup9GpaOO/2efeXJyKGhVt0urZnlTUdsjw2y+upaJLGdQKnIqu/T1sfMtUqWlSvGo8qekN3+1iBVPTirCCT3JUSU1JY8/lTN8yNQXeqPTg+wD+ua27i12alpoUFlvWpaab+yZsGnc8NXFT6NXiYWpKt+7EtytRqalz17lWER93Muu3O4V57xp8pow76fqt7056ne3mTvp+j3anCrr9udPJSysr79vtTi/edk6mK+5kF/GJvPnGnXQfTXGnokOb3/sYkoZ6nv29639F0pB+HDXTEH0tHjy7Uxp6cPnisuBRaUivV4vTkOeEqK3Z9qWhFR14obiRhrZ02nHk2Ic0dJBXo7up09LZbukuf7LS0hOm5kbRtFS/9q+PR8PT0j21PLRLS/vb/fuw3JC09Fflqv1+zUhLh3Nl8tm7Li3pvnY0LTll/vtV7E5aUtX762NaGl2LB4hU6ShN4Vcj+4Sko1drF5/JUigdnWxV68eRaulIt6226cg+t3/yg6Hp6OepDpvazE1Hg/paGZ5vTUf1el3I3+V8OirQfWDN78/TkV52E9ORT9aECycCPajH66uxfxTwIN3Xq3jQiRJxc7e38qCPzzw7xg7yoISm0rfodA/yVAvfOg9aFni737QjHqTr+5YHZei7Zcqj9x7ElC5IneJBw66OW5PH5Um6/+TzJEXNGPKkLbz6HmjgSfxmh5zv6mnqcYQn6WVhjidxs9jxYqMn6fXpmCdtnc5A3/Yk3VfeeZr3l+BJ+vZn9KJoe82hOdm8aNm39efCS3rhuXkRv/qnh9t4kZ6rBnjRHNe9FRUmetHpbW4H7y/xovl7S+ccvMOLuh0ZMCfkjJeiacHhe170q5Ff884fvMhveIc23klepKaZrRm9aXlwqtxNs3rTfp6Skop607X264ssr+JN6mUHNPMmPQ/08abN7Ud7xIz1Jpe6PQu9qc3ioZcab8fXz3hTfL7JlaZHetP4gM2h+b95k+HeB5z40NK1dflJ+dCPfrveVSYf8/7r+1C6FnxHOvuQWl6vD/WhoMrZqkZM9yE1Bd1e6UOfF2f8x3OfD4WP2Pk6+LIP8dDAC5oP+Tb5a8+FHz6kVttuGdLTsLIeG7/mSE9ZM8f2aFQuPXXhqWxvw/SUYd79kqJXeuLhjMlNT2X6XJt4a1l6ejaPb9SB9JS997qCfW+mpwN3uEF8SU+zuL0W8MpA3Z72nTw9Rwaq0D5g/FeZgfSY2zwD8dWHbxuUgfR8MScDbb5+t9Hn7RnI9PkM1LZIw0J5P2SgwW9//q+sR0ZSU1vjPzKSwjmxUkbKG9M194V2GSlctbWRGUnPh0sz0owC1Qc3PJSRduZjMu9npNu5S3YIis1IcX8UiPzhm4lCnuVt9yl/JlJlUjo8E3G1t1nWJRP9wdNOqvH837nO7mmxOhNVO1K7S49TmSisbqQ17EUmc7/dfKmleqN+vhTDU7nI5ktN1YMr6kvfRi9eHlfRl9QY0bOBL5l5wZf0fDzAl5iuqvPH+tJxtazP9SWXHhh8KWEEV9huX9p+cGaxtad8Sa1ekTd96SFPSSuf+9JX389vOnzzpaLLx4/O/9uX/vmTn0x6PzpymD8sP3KrwZ00rx/dydcx9GUpPxpTsOY67yp+lCY9P4n6frRqRvqao1r7UZ/Sj7M+6O5Hul8N9qPHXdx6jxrrR0M/N3h7e6YfrT8tRh9dwtdZ9Fas3+BHqfrxK9rjRwX5dg494UctspSPan/Fz9ThA/65gdwZXvmRWrZ8vvpRM37c1X/60dwtO9K5UvuTmff9qTHj0jXQn+pWUR3RnyyeCqrm9KfKqmEW8Ce17FQt6U9d9eDpbziu6k96bqntT8ouHjX2p/G8WnRu7U+j+1eZ+6OTP9VWhdTLn8I/pinmN8ifroWqB+VP2dTHaH9apzCZ6I91yZ+GK4GZ60/Gk/yp4ckNa2qt8KcH32NrNF3nTzykzm69xZ925OYOvcvfrKMH/GlCm4K5/nfM39yvM/w6vv7b8+NFf8PtdX+zPt7xJ7Vc5Ynkr6sLPfM3dfqav16SV9qP/qTnnm/8dbaeEnH+tOfCoGPLE/jrvDx7ugVQxU7lyxxKE2DWF68A2laVxSBjAM1R47N/AGl/CQ6goSU2/93YCiB9uzIHUIa8Y99nzx5A/C4zeuYKMP0tbwDddlcFEEBpPx56cqBIABkvCaAFT7gRlg6gS6crbO36dwDpubNCABWYueJn4SoBNGPppWFhNQJI60VEAGWftTrnu7r839xd45sEmNfbJoDyq0LpzNcpcmZngV4BpOxHDgwgj+9B1eoMCzD1MSaA9Ng6OYDUy5swi9/XrJK35y8IoGHBj5O2LA+gsRlqb5+7NoC6cztcvC2ACqaus+vUoQCKTb4z+MO5AHqf5e7SwNsBtMVu1qHMM7y+j3xd1QBjA6jR8s1bH6QE0F9ZeOX3DqRvAWGLCwUGktYuEUgtEl2Vs+UKJH/zDbMelw6kEfcynZlaMZD0WBMRSHpsaRRINx8owQqkCVdGDxrQNZDKnRgZ/qVfIMXsHpGl07BA2rR+WNzTcYGk7LTFjECqsi8m+c6CQHMfVwUST8Xrz20ONPdjbyBlHvep7oFjgZRGDQIXAunwnHbNtt0MpL6qsB4FUq7/tUqz4nUgqSkm5GsgzeVvz4oPJIW1dyqX4dvbRW87XJ/iFugy/V+4SPtMThdpHy3kouNFzz979ZfLrF8VXaT3AWq6yK8EG3gjF53PU3r25dYuGqEHQhcVU9/o5yKFT4lhLtJeNc5FjT8XPJxrhotUG1izwGXWuVUu0l622UXa6/a6qDJP7VOPuSjxeyiP3C7irhI+4qaLujxwZYmPdJGasnu/dtH1rcmTs0W56N8Z77LcTXZRob48uXkH0fN6h2uWDg6iWcV40sweROWDZgxeXiiItA+VC6L+armtEUQ8RT7a1SjI1FP7IBrXWD3ZICr+l6qEIHobpjYygmheUruLBecFUdWnNfklBpGibO72INrAU3rVI0Gk9xMuBBEPVU023A2iyZnbf232MogSW/BEFx1E3Rf9s2SVezA9vj+qf5XAYIpwTa3xMUcw6e2L4sGk7HhqjWBK9TS11+TWwaQwbN43mMrxVJ17TLCpx7nBtOHToFeX1gXT0wO7Ci85EGzm0DPBdLMqT6jXgyk8U6Hn9R4Fk9LXN2+D6e9lYxr8Ex1MBzpyJ/8dTIX/vH9hsVcIbY51cy/gCqE/juQtdyJLCBkfDKEP2VmESoYQN7Fp/SqG0ONdjc6nqR1CenuiWQhdL7+pTJ5OIVTdS92xEHM/h4dQ2QW5Pj6bGEL7WtfN0W9uCBXUhReC5xpC2fddu5V7fwj1VAPvqRAzP1wLoZncPp49DCF9uTchNIbbnHtUCF0tw6KbFEJVeZXP4Rlq5ueAUOIq+7da5lDaw7obmTeUVLvqUSKU1r+vViClfChlVRslEaGkbnf2pqEUqMSxQyhNZ/2r1ieUPNRC/r9QGvVfxSk9JoSa5zM71NTbslA6fqbyI2dTqNmu2RtKeh/jZKip9yuh8JZQyrwp6PevV6G0sC//6LdQClGDT3wozc/BN9QtjKr8MTD1Is8wUuN8tG8YVVaNIDSM1Gq2OmsYVZrS411injA6zWNygyJh1I81aGfpMIr6W+1chVFfNUiEh9H3KB4w64eR9r0WYfRNbV90CKNeaoHpEUZCFf7AMMPt8DDjFePCSO9zTQ8z6868MDPnLgsjvc2zPowuLDg8b+b2MOLpP9OH/WF0PrzkpPIn8LovhJl55kYYaX19GEaxalvlRZjh5mMYaY+MDqNdapvtRxit2PZoWr7EMNOfUsLM/XG36GmuYiXaelp09Qp/pLeIq55XBIv0NoPLotJq4yjMItXmezmW8ZdslpnLclnUecos/w35LMrptb1GpkIWqbczqJhleOB027dx/bDiFqndxRRO/X5LWLSBl9G0JS0qrsSSU2+7lLKoTkVeCTifRG7nTmxRN3UhTr0/WdqicWr7i1N7dBmLlt/gBZvzTx6vcpS16FDK3o3rOavqB22R3q/g1PPT35bxFs4INaBLix51vHVwL2cXtr5SZBkv4ByT34n6u7xFvmpjgJNlyFW5gmXmTs4DanysaJHGhJOv0rpuJYvaMF53OPW8WtkihWUk55i61ZeOrMLXU95fla83Muep8Zz51DZiNb7edvd3UzmD9EBskdKK6ZyFat857lfDomNvK9yay6nn93CL1DK7iLOTEoCaFultFE6tvREWZRwQSes5dZ3VsoyncO5jrSlU26KKt+ZO3s2px4I6FrVSAx+n2W/i56t+MafZ37HMHMJp9gMteIdFZdTlGlikfuwWZ0P9YdErhSFnn7FFhjZvZJHC9ynnlN2ZlrdtbBkeOTWvTSzj15wn/JQQ8vNR28uc/C4yDGhmmb7CGddbXdAitqVKyZy+fLWRLfh+luB30pKfj95YsMx62soy6waneruZWlum/jm/8MtzteHnw792Aafeh2pr0X+T1Qu0zBzZzjJzOade59tbpLdLOfW63oHrndveTk41LhfraJHZ3+Z6f8pi1InrXW1IcaptQurM9a7fMNe72o7pYpF6vJc4n6jH1pXr3V29E4v0be5mkXq39zi1J3fnem+rfrNl5tUeXO/88l5yVlW/tqdF6nLvOdupH+tl0bev/MGpdlv69bbIWzdmy/htH4v0Pj6n7t99LZL6By1SPzWWU/tNf4vecflN5hygH4hl/IBT76cNtMjmxzuPUz220EGWmTc5z/BtzvKPRer2rebUvjjYoh78djdyqreRfwjX5dhhN3Zz6m3ioVyXar+UU/1Yqf9Zxnc4q2sBtYif2vOTnB1UIQy3KEqNIZwajxEWpVc/yLlQlfO/vD6pgubco8pvpEV635ZTl8soi1QZPOf8oB7vaIv0PiKnfhxjLDOncOrbN9aCx1v0l3q74yzS+9ycxo8ts9/G2UtdboJl5qSJFk2aqD7A+SRwPgmcTwbnk8H5FHA+BZxPBedTwfk0cD4NnE8H59PB+QxwPgOczwTnM8H5LHA+C5zPBuezwfkccD4HnM8F53PB+X/g/D9wPg+czwPn88H5fHC+AJwvAOcLwflCcL4InC8C54vB+WJwvgScLwXnS8H5MnC+DJwvB+fLwfkKcL4CnK8E5yvB+Spwvgqcrwbnq8H5GnC+BpyvBedrwfk6cL4OnK8H5+vB+QZwvgGcbwTnG8H5JnC+CZxvBuebwfkWrku1Xcyp92m2WpTm3dTcXzhnjUgs3Wcb12VQt4gYzi1bH7QetN0y+4acelt+h0UNBuSYn8L5wmfOxtE7uS5XpzqSdhfXZek+1yZyTrr19LnPbq5Lvsx0TvVt/z0W6fMAzmOF+JO9mAs49f78Pq5LtU/OGTO9/oAc+y0axW1t/X5wfoDrsiELGmeeLxmOFToIzg+C80MWqWrZy6nPNQ6D88Pg/IhF6fx5QjwCzo+C86Pg/Bg4PwbOj4Pz4+D8BDg/Ac5PgvOT4PwUOD8Fzk+D89Pg/Aw4PwPOz4Lzs+D8HDg/B87Pg/ML4PwCOL8Izi+C80vg/BI4vwzOL4PzK+D8Cji/Cs6vgvNr4PwaOL8Ozq+D8xvg/AY4vwnOb4LzW+D8Fji/Dc5vg/M74PwOOL8Lzu+C83vg/B44vw/O74PzB+D8ATh/CM4fgvNIcB4Jzh+B80fg/DE4fwLOn4Dzp+D8KTh/Bs459THyc4s2jeZBi7Nk2InmWV5YZp7nrMfjV86XXJfPGQBOfU7yivsPT9fbOSesb3ypyGvL+AjnynvFvpV6Y1FBBQon0xAo33JdqsGN8z5/u/I7rssrLcMvcEa150/eW/SvAoozPWNW9wPXpTon5szFWDT+aBkv4lS7aS0/gfNP4PwzOP8Mzr+gn39BP/+Kfv4V/fwb+vk39PPv6Off0c+j0M+j0c+j0c9j0M9j0M9j0c9j0c/j0M/j0M9/oJ//QD+PRz+PB+c/0c9/op//ski9vO2cgeoBJ4DzBPTzRHCeCM6T0M+TwHkyOE8G57/B+W9wngLOU8C5m2045zTnSrbhnFNznto2nHNqzt1twzmn5jyNbTjn1JyntQ3nnJrzdLbhnFNz7mEbzj1twzmn5tzLNpxzas69bcM5p+bcxzacc2rO09uGc07NeQbbcM6pOc9o43zBNpxnsg3nnJpzX9twzqk597MN55yac38b+4c2qXKKCLDNeROnWubrB9qkjzk5x/Gy3NRlk1puH3OqbbXWQTbpc3vOQ5GTkzsG28ZHOe96dcnWI8SmdgoUTqahar9Qm4arwY3Tm789OMym+SkzRyRy5lCfWDbtYhxT2Tbp82JOhY+HsKkZYzGZU7W1DI5Nql3N5EytwMtsG845dT/PYhvOOTXnWW3Tzzl1P89mm37Oqft5dtv0c05zLmibfs6p+/kftunnnLqf57RNP+fU/TyXbfo5p+7nuW3Tzzl1P89jm37Oac7RbdPPOc35lm0459Sc57fN3M6p5/Y/bcM5p+a8gG0459ScF7QN55ya80K24ZxTc17YNpwXsQ3nnOZcwjacc+qyKmYbzjk158Vtwzmn5ryEjX1i23Be0jacc2rOS9mGc079Nv6yDeecmvPStuGcU/9YGdtwzqk5L2sbzjk15+Vswzmn5vxv23DOqTmXtuGcU3NO4JzAeXlwXh6cVwDnFcB5RXBeEZxXAueVwHllcM5p/NyGn4PzquC8GjivBs6rg/Pq4LwGOK8BzsPBeTg4rwnOa4LzCHAeAc5rgfNa4Lw2OK8NzuuA8zrgvC44rwvO64FzTuPnNvzchp/b8HMbfm7Dz234uQ0/t+HnNvzchp/b8HMbfm7Dz234uQ0/t+HnNvzchp/b8HMbfm7Dz234uQ0/B+etwXkbG35uw8/BeVtw3g6ctwPn7cF5e3DeAZx3AOcdwXlHcN4JnHcC553BeWdw3gWcdwHnXcF5V3DeDZx3A+fdwXl3cN4DnPcA5z3BeU9w3guc9wLnvcF5b3DeB5z3Aed9wXk/cN4PnPcH5/3B+QBwPgCcDwTnA8H5IHA+CJz/A87/AeeDwflgcD7Ehp/b8HMbfm6buf1/XJc8fp3gVGNVxWG2mds51RhUfTjXpRp4OPW/axxhm/NjTqUTDf+1zTkO5yu+TPORXJf87aecvztyhxrFdZnMn4wC56O5LvPzKxkNzseAc07V1gaMBedjwfk4cD4O/Xw8+vl4cD4BnE8E5xPB+SRwPgmcTwbnk8H5FK5LfvnLp4DzqeB8KjifBs6ngfPp4Hw6OJ8BzmeA85ngfCY4nwXOZ4Hz2eB8NjifA87ngPO54HwuOP8PnP8HzueB83ngfD44nw/OF4DzBeB8IThfCM4XgfNF4HwxOF8MzpeA86XgfCk4XwbOl4Hz5eB8OThfAc5XgPOV4HwlOF8FzleB89XgfDU4XwPO14DzteB8LThfB87XgfP14Hw9ON8AzjeA843gfCM43wTON4HzzeB8MzjfYsPPbfi5DT+34ec2/NyGn9vwcxt+bsPPbfi5DT+34ec2/NyGn9vwcxt+bsPPbfi5DT+34ec2/NyGn3Ndqv/hgA0/t+Hn4PwgOD8Ezg+B88Pg/DA4PwLOj4Dzo+D8KDg/Bs6PgfPj4Pw4OD8Bzk+A85PgnFNti3c5Bc45iyqRO8112Zx/w2lwfsamRzyWxnOqcXPoWa5LHiOTz6Kfn0M/P2+b/XZOvd9+wTb77ZzqMWS6aNNtvr1zONuoB3iJ65Jvx0JO9Tbty+CcU72sbFe4LpVAcu7gy+S+ynWpbiSnPg+/ZlMT9Qmn/ndt17kulWhyuqmCuMF1yWPuMU41vpa/adMG1s8znMXVIH2L65J18dItzO23MbffBud3wPkdcH4XnN8F5/fA+T1wfh+c3wfnD8D5A3D+EJw/BOeR4DwSnD8C54/A+WNw/gScPwHnT8H5U3D+DJxzGj/H3P4cc/sLG35uw89t+LkNP7fh5zb83Iaf2/BzG35uw89t+LkNP7fh5zb83Iaf2/BzG35uw89t+LkNP+c5k8vzOaf+9y+fwflncP4FnH8B51/B+Vdw/g2cfwPn38H5d3AeBc6jwXk0OI8B5zHgPBacx4LzOHAeB85/gPMf4DwenMejn/8E5z/B+S/M7b/AeQLm9gTM7YmY2xMxtyeB8yTM7cmY25Mxt//G3P4bnKdgbk/B3O4m4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4u4OcCfi7g5wJ+LuDnAn4uaAaX3XxOzXkWAT8X8HOBc3VhOM8mDOecmvPswnDOqTnPIQznnJrzP4ThnFNznlMYzjk157mE4ZxTc55bGM45Ned5hOGcU3OeV+DfJwjDeT5hOOfUnOcX8HNhOP9TwM+F4byAgJ8L+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5MJwXF/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPxfwcwE/F/BzAT8X8HMBPwfnBM7Lg/Py4LwCOK8AziuC84rgvBI4rwTOK4NzTuPnAn4ucH4ucH4ucH4uTD+vLkw/59T9vIYw/ZxT9/NwYfo5p+7nNYXp55y6n0cI0885dT+vJUw/59T9vLYw/ZxT9/M6wvRzTt3P6wrTzzl1P68nTD+vB87rg/P64LwBOG8AzhuC84bgvBE4bwTOG4PzxuC8CThvAs6bgvOm4LwZOG8GzpuD8xbgvAU4bwnOW4LzVuC8FThvDc5bg/M24LwNOG8LztuC83bgvB04bw/O24PzDuC8AzjvCM47gvNO4LwTOO8MzjuD8y7gvAs47wrOu4LzbuC8GzjvDs67g/MewvTzHuC8JzjvCc57CdPPe4Hz3uCcU/fzPuC8DzjvC877gfN+4Lw/OO8PzgeAc07j5+B8IDgfBM4HgfN/wPk/4HwwOB8MzocI+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5gJ8L+LmAnwv4uYCfC/i5MHP7aAE/F2ZuHyPM3M5p/FyYuZ1Tz+3jhJnbx4Hz8eB8AjifAM4ngvOJ4HwSOJ8Eziejn08G51PQz6eA86ngfCo4nwbOp4Hz6eB8Ovr5DPTzGeB8Jvr5THA+C5zPQj+fjX7OafxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM8F/FzAzwX8XMDPBfxcwM/B+RZwvlXAz8H5NnDOafxcwM/B+Q4BPxfwcwE/F/BzAT8X8HMBPxfwc/TzvQJ+LuDnAn4u4OcCfi7g5wJ+LuDn4PwgOD8Ezg+B88Pg/DA4PwLOj4Dzo+D8KDg/Bs6PgfPj4Pw4OD8Bzk+A85Po5yfRz0+hn59CPz+Nfn4a/fwM+vkZcH4W/fws5vZzmNvPYW4/j7n9Aub2C5jbL2Juv4i5/RI4v4S5/TI4v4y5/Qrm9iuY269ibr+Kuf0a5vZr4Pw6OL+Ouf0GOL+Buf0m5vab4PwWOL8Fzm+D89vg/A44vwPO74Lzu+D8Hji/B87vg/P74PwBOH8Azh+C84fgPBKcR4LzR+D8ETh/DM6fgPMn4PwpOH8Kzp+B82fo58/Rz5+jn79AP3+Bfv4S/fwl+vkr9PNX6Oev0c9fo5+/QT9/g37+Fv38Lfr5O/Tzd+jn79HP36Off0A//4B+/hH9/CP6+Sf080/o55/B+Wdw/gWcfwHnX8H5V3D+DZx/A+ffwfl39PMo9PNo9PNo9PMY9PMY9PNY9PNY9PM49PM49PMf6Oc/0M/j0c/j0c9/op//RD//hbn9F+b2BMztCZjbEzG3J2JuT8LcnoS5PRlzezLm9t+Y239jbk/B3J6Cud3NgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/d+DnDvzcgZ878HMHfu7Azx34uQM/dwzngY7hnFNz7nIM55ya8yAHfu4YzoMdwzmn5jzEwd+VOobzUMdwzqk5D3MM55yac8sxnHNqzm3HcC4cwzmn5txxDOec+u1mdnB+7uD83DH9nFP386wOzs8dnJ87OD93cH7u4Pzcwfm5g/NzB+fnDs7PHZyfOzg/d3B+7uD83MH5uYPzcwfn5w7Ozx2cnzs4P3dwfu7g/NzB+bkDP3dwfu7Azx2cnzvwcwd+7sDPHfi5Az934OcO/NyBnzvwcwd+7sDPHfi5g/NzB37uwM8d+LkDP3fg5w783IGfO/BzB37uwM8d+LkDP3fg5w783IGfO/BzB37uwM8d+Dnfz4NVntaUDvzcgZ+Dc07996rlwXl5cF4BnHPqv7epCM4rgvNKjvn7UE799yCV+X52f301tjI4rwLOq4DzquC8GjivBs6rg/Pq4LwGOK8BzsPBeTg4rwnOa4LzCHAeAc5rgfNa4Lw2OK8NzuuA8zrgvC44rwvO64FzTnN+7uD8HJw3AOcNwHlDcN4QnDdycH4OzhuD88bgvAk4bwLOm4LzpuC8GThvBs6bg/Pm4LwFOG8JzluC81bgvBU4bw3OW4PzNuC8DThvC87bgvN24LwdOG8PztuD8w7gvAM47wjOO4LzTuCc8/8z9yD+</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="272">
              <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>eJzt0SFuAkEYBtCV1NXW9Qg9wmJ7BCzBkJDgqppwhBU1iCaYagwHWAEebgCqWGpIqgizLMkMbIrA9T3zZTYz3787m2UAAPwbo9c8Wq+7+dV9f51Pe25dn7PT0NPw/F4u5nfiOS9veZQ/XyFH43nI590m5KT7G7LoPbSPuR08hiynrZDFal/tf/oOWX4uq75Z1ZMtyqg/m33Ec5fvp/frx1kM8+g7aul/TO+xPp9K76Ep6/56PgAAAAAAAAAAAAAAAAAAnBwAswRAhw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
      </chromatogramList>
    </run>
  </mzML>
  <indexList count="1">
    <index name="chromatogram">
      <offset idRef="TIC">3913</offset>
      <offset idRef="SRM SIC Q1=72.993 Q3=72.993 sample=4 experiment=1 RT=3.45 ce=-10.00 name=Glyoxylate">24853</offset>
      <offset idRef="SRM SIC Q1=74.025 Q3=74.025 sample=4 experiment=1 RT=3.89 ce=-10.00 name=glycine">44118</offset>
      <offset idRef="SRM SIC Q1=87.009 Q3=87.009 sample=4 experiment=1 RT=2.16 ce=-10.00 name=Pyruvic_acid">59903</offset>
      <offset idRef="SRM SIC Q1=87.045 Q3=86.900 sample=4 experiment=1 RT=1.02 ce=-15.00 name=1-butyric_acid">75721</offset>
      <offset idRef="SRM SIC Q1=88.040 Q3=88.040 sample=4 experiment=1 RT=3.63 ce=-10.00 name=alanine_">91478</offset>
      <offset idRef="SRM SIC Q1=89.024 Q3=89.024 sample=4 experiment=1 RT=2.87 ce=-10.00 name=L-lactic_acid">107292</offset>
      <offset idRef="SRM SIC Q1=102.056 Q3=101.900 sample=4 experiment=1 RT=2.98 ce=-10.00 name=dimethylglycine_(DMG)">123207</offset>
      <offset idRef="SRM SIC Q1=103.040 Q3=56.910 sample=4 experiment=1 RT=2.39 ce=-30.00 name=2-hydroxyisobutyric_acid">139046</offset>
      <offset idRef="SRM SIC Q1=103.040 Q3=56.900 sample=4 experiment=1 RT=2.39 ce=-30.00 name=2-hydroxybutyric_acid">154750</offset>
      <offset idRef="SRM SIC Q1=104.035 Q3=74.000 sample=4 experiment=1 RT=4.06 ce=-30.00 name=L-serine">170434</offset>
      <offset idRef="SRM SIC Q1=112.054 Q3=68.003 sample=4 experiment=1 RT=1.73 ce=-15.00 name=creatinine">185966</offset>
      <offset idRef="SRM SIC Q1=114.056 Q3=114.056 sample=4 experiment=1 RT=3.30 ce=-10.00 name=Proline">201705</offset>
      <offset idRef="SRM SIC Q1=115.004 Q3=70.900 sample=4 experiment=1 RT=4.19 ce=-15.00 name=fumaric_acid">217593</offset>
      <offset idRef="SRM SIC Q1=116.047 Q3=73.900 sample=4 experiment=1 RT=3.70 ce=-15.00 name=guanidinoacetic_acid">233227</offset>
      <offset idRef="SRM SIC Q1=116.072 Q3=116.070 sample=4 experiment=1 RT=3.05 ce=-10.00 name=valine">248877</offset>
      <offset idRef="SRM SIC Q1=116.072 Q3=116.072 sample=4 experiment=1 RT=4.03 ce=-10.00 name=5-Amino_pentanoic_acid">264831</offset>
      <offset idRef="SRM SIC Q1=117.019 Q3=73.100 sample=4 experiment=1 RT=3.96 ce=-30.00 name=Succinic_acid">280572</offset>
      <offset idRef="SRM SIC Q1=117.056 Q3=71.000 sample=4 experiment=1 RT=1.89 ce=-15.00 name=2-hydroxyisovaleric_acid">296075</offset>
      <offset idRef="SRM SIC Q1=118.051 Q3=54.900 sample=4 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）">311879</offset>
      <offset idRef="SRM SIC Q1=118.051 Q3=74.100 sample=4 experiment=1 RT=3.79 ce=-15.00 name=threonine（离子对正确具有唯一性）">327382</offset>
      <offset idRef="SRM SIC Q1=122.025 Q3=78.000 sample=4 experiment=1 RT=2.36 ce=-30.00 name=Nicotinic_acid">343129</offset>
      <offset idRef="SRM SIC Q1=128.072 Q3=128.072 sample=4 experiment=1 RT=2.95 ce=-30.00 name=pipecolic_acid">358619</offset>
      <offset idRef="SRM SIC Q1=130.051 Q3=83.900 sample=4 experiment=1 RT=3.65 ce=-30.00 name=L-4-hydroxyproline">374328</offset>
      <offset idRef="SRM SIC Q1=130.062 Q3=88.000 sample=4 experiment=1 RT=3.55 ce=-15.00 name=creatine">389880</offset>
      <offset idRef="SRM SIC Q1=130.087 Q3=130.086 sample=4 experiment=1 RT=2.72 ce=-10.00 name=isoleucine">405632</offset>
      <offset idRef="SRM SIC Q1=130.087 Q3=130.087 sample=4 experiment=1 RT=2.61 ce=-10.00 name=leucine">421539</offset>
      <offset idRef="SRM SIC Q1=131.046 Q3=131.046 sample=4 experiment=1 RT=3.99 ce=-10.00 name=asparagine">437441</offset>
      <offset idRef="SRM SIC Q1=131.083 Q3=131.083 sample=4 experiment=1 RT=6.23 ce=-10.00 name=Ornithine">453238</offset>
      <offset idRef="SRM SIC Q1=132.030 Q3=88.200 sample=4 experiment=1 RT=4.50 ce=-30.00 name=aspartic_acid">469170</offset>
      <offset idRef="SRM SIC Q1=133.014 Q3=71.200 sample=4 experiment=1 RT=4.00 ce=-30.00 name=malate">484857</offset>
      <offset idRef="SRM SIC Q1=135.056 Q3=78.200 sample=4 experiment=1 RT=0.61 ce=-30.00 name=N-methylnicotinamide">500317</offset>
      <offset idRef="SRM SIC Q1=136.040 Q3=91.900 sample=4 experiment=1 RT=1.46 ce=-15.00 name=4-aminobenzoic_acid">515775</offset>
      <offset idRef="SRM SIC Q1=145.014 Q3=100.900 sample=4 experiment=1 RT=4.01 ce=-15.00 name=a-Ketoglutaric_acid">531608</offset>
      <offset idRef="SRM SIC Q1=145.051 Q3=81.000 sample=4 experiment=1 RT=3.96 ce=-45.00 name=adipic_acid">547331</offset>
      <offset idRef="SRM SIC Q1=145.062 Q3=57.800 sample=4 experiment=1 RT=3.80 ce=-45.00 name=glutamine">562794</offset>
      <offset idRef="SRM SIC Q1=145.098 Q3=145.098 sample=4 experiment=1 RT=5.98 ce=-10.00 name=lysine">578329</offset>
      <offset idRef="SRM SIC Q1=146.046 Q3=101.600 sample=4 experiment=1 RT=4.11 ce=-30.00 name=Glutamic_acid">594222</offset>
      <offset idRef="SRM SIC Q1=148.044 Q3=148.044 sample=4 experiment=1 RT=2.89 ce=-10.00 name=Methionine">609791</offset>
      <offset idRef="SRM SIC Q1=149.046 Q3=59.100 sample=4 experiment=1 RT=2.13 ce=-30.00 name=ribose">625680</offset>
      <offset idRef="SRM SIC Q1=149.046 Q3=58.800 sample=4 experiment=1 RT=2.70 ce=-30.00 name=arabinose">641208</offset>
      <offset idRef="SRM SIC Q1=151.026 Q3=108.000 sample=4 experiment=1 RT=1.88 ce=-30.00 name=xanthine">656755</offset>
      <offset idRef="SRM SIC Q1=154.062 Q3=93.000 sample=4 experiment=1 RT=6.30 ce=-30.00 name=Histidine">672553</offset>
      <offset idRef="SRM SIC Q1=157.037 Q3=96.900 sample=4 experiment=1 RT=2.45 ce=-30.00 name=allantoin">688294</offset>
      <offset idRef="SRM SIC Q1=157.123 Q3=157.123 sample=4 experiment=1 RT=0.63 ce=-10.00 name=C9:0_pelargonic_acid">703921</offset>
      <offset idRef="SRM SIC Q1=160.062 Q3=99.800 sample=4 experiment=1 RT=4.27 ce=-45.00 name=2-aminoadipic_acid">719564</offset>
      <offset idRef="SRM SIC Q1=163.061 Q3=100.800 sample=4 experiment=1 RT=2.58 ce=-15.00 name=&quot;1,5-anhydroglucitol&quot;">735128</offset>
      <offset idRef="SRM SIC Q1=164.072 Q3=103.100 sample=4 experiment=1 RT=2.53 ce=-30.00 name=phenylalanine">750811</offset>
      <offset idRef="SRM SIC Q1=167.021 Q3=69.100 sample=4 experiment=1 RT=3.27 ce=-45.00 name=uric_acid">766560</offset>
      <offset idRef="SRM SIC Q1=173.082 Q3=111.000 sample=4 experiment=1 RT=3.58 ce=-30.00 name=Sebacic_acid写错，正确那个是suberic_acid">782246</offset>
      <offset idRef="SRM SIC Q1=174.041 Q3=88.000 sample=4 experiment=1 RT=4.25 ce=-30.00 name=N-acetyl-L-aspartic_acid">797856</offset>
      <offset idRef="SRM SIC Q1=174.057 Q3=130.066 sample=4 experiment=1 RT=1.74 ce=-15.00 name=Indole-3-acetic_acid">813376</offset>
      <offset idRef="SRM SIC Q1=174.088 Q3=131.000 sample=4 experiment=1 RT=3.98 ce=-30.00 name=Citrulline">829179</offset>
      <offset idRef="SRM SIC Q1=178.051 Q3=77.200 sample=4 experiment=1 RT=2.09 ce=-45.00 name=hippuric_acid">844823</offset>
      <offset idRef="SRM SIC Q1=178.072 Q3=58.800 sample=4 experiment=1 RT=4.11 ce=-45.00 name=mannosamine">860426</offset>
      <offset idRef="SRM SIC Q1=179.056 Q3=59.000 sample=4 experiment=1 RT=3.40 ce=-30.00 name=galactose__">875927</offset>
      <offset idRef="SRM SIC Q1=179.056 Q3=87.000 sample=4 experiment=1 RT=3.83 ce=-30.00 name=inositol">891758</offset>
      <offset idRef="SRM SIC Q1=180.067 Q3=93.100 sample=4 experiment=1 RT=3.28 ce=-45.00 name=tyrosine_">907366</offset>
      <offset idRef="SRM SIC Q1=188.056 Q3=58.000 sample=4 experiment=1 RT=4.11 ce=-45.00 name=N-acetyl-L-glutamic_acid">922993</offset>
      <offset idRef="SRM SIC Q1=188.071 Q3=144.081 sample=4 experiment=1 RT=1.31 ce=-15.00 name=3-Indolepropionic_acid">938461</offset>
      <offset idRef="SRM SIC Q1=191.020 Q3=191.020 sample=4 experiment=1 RT=5.43 ce=-30.00 name=citric_acid">954326</offset>
      <offset idRef="SRM SIC Q1=193.035 Q3=58.900 sample=4 experiment=1 RT=4.08 ce=-45.00 name=glucuronic_acid">970084</offset>
      <offset idRef="SRM SIC Q1=199.170 Q3=199.170 sample=4 experiment=1 RT=0.59 ce=-10.00 name=C12:0_lauric_acid">985633</offset>
      <offset idRef="SRM SIC Q1=203.083 Q3=116.100 sample=4 experiment=1 RT=2.67 ce=-45.00 name=tryptophan">1001249</offset>
      <offset idRef="SRM SIC Q1=207.078 Q3=144.000 sample=4 experiment=1 RT=2.60 ce=-30.00 name=kynurenine">1016971</offset>
      <offset idRef="SRM SIC Q1=209.030 Q3=85.000 sample=4 experiment=1 RT=5.42 ce=-15.00 name=galactaric_acid">1032611</offset>
      <offset idRef="SRM SIC Q1=212.002 Q3=79.900 sample=4 experiment=1 RT=1.12 ce=-45.00 name=3-indoxyl_sulfate">1048154</offset>
      <offset idRef="SRM SIC Q1=218.103 Q3=88.000 sample=4 experiment=1 RT=2.85 ce=-15.00 name=pantothenic_acid">1064037</offset>
      <offset idRef="SRM SIC Q1=219.078 Q3=144.000 sample=4 experiment=1 RT=3.37 ce=-30.00 name=5-hydroxy-L-tryptophan">1079649</offset>
      <offset idRef="SRM SIC Q1=220.083 Q3=59.200 sample=4 experiment=1 RT=2.81 ce=-45.00 name=N-acetylglucosamine">1095205</offset>
      <offset idRef="SRM SIC Q1=227.202 Q3=227.202 sample=4 experiment=1 RT=0.57 ce=-10.00 name=C14:0_myristic_acid">1110810</offset>
      <offset idRef="SRM SIC Q1=239.017 Q3=119.900 sample=4 experiment=1 RT=5.34 ce=-15.00 name=L-cystine">1126404</offset>
      <offset idRef="SRM SIC Q1=241.217 Q3=241.217 sample=4 experiment=1 RT=0.56 ce=-10.00 name=C15:0_pentadecanoic_acid">1142217</offset>
      <offset idRef="SRM SIC Q1=243.062 Q3=110.000 sample=4 experiment=1 RT=1.85 ce=-30.00 name=Uridine">1157812</offset>
      <offset idRef="SRM SIC Q1=255.233 Q3=255.233 sample=4 experiment=1 RT=0.55 ce=-10.00 name=C16:0_palmitic_acid">1173557</offset>
      <offset idRef="SRM SIC Q1=259.022 Q3=78.800 sample=4 experiment=1 RT=4.46 ce=-45.00 name=D-fructose-6-phosphate">1189147</offset>
      <offset idRef="SRM SIC Q1=263.104 Q3=145.000 sample=4 experiment=1 RT=2.43 ce=-15.00 name=α-N-phenylacetyl-L-glutamine">1204847</offset>
      <offset idRef="SRM SIC Q1=266.090 Q3=134.200 sample=4 experiment=1 RT=1.65 ce=-30.00 name=adenosine">1220594</offset>
      <offset idRef="SRM SIC Q1=269.249 Q3=269.249 sample=4 experiment=1 RT=0.52 ce=-10.00 name=C17:0_heptadecanoic_acid">1236227</offset>
      <offset idRef="SRM SIC Q1=277.217 Q3=277.217 sample=4 experiment=1 RT=0.55 ce=-10.00 name=&quot;C18:3_n-3_(9Z,_12Z,_15Z)_alpha-linolenic_acid&quot;">1251794</offset>
      <offset idRef="SRM SIC Q1=282.084 Q3=191.900 sample=4 experiment=1 RT=2.80 ce=-30.00 name=8-hydroxy-2_-deoxyguanosine">1267418</offset>
      <offset idRef="SRM SIC Q1=283.264 Q3=283.264 sample=4 experiment=1 RT=0.54 ce=-10.00 name=C18:0_stearic_acid_">1282993</offset>
      <offset idRef="SRM SIC Q1=305.249 Q3=305.249 sample=4 experiment=1 RT=0.53 ce=-10.00 name=&quot;C20:3_n-6_8,11,14-eicostrienoic_acid&quot;">1298587</offset>
      <offset idRef="SRM SIC Q1=307.264 Q3=307.264 sample=4 experiment=1 RT=0.53 ce=-10.00 name=C20:2_eicosadienoic_acid">1314206</offset>
      <offset idRef="SRM SIC Q1=309.280 Q3=309.280 sample=4 experiment=1 RT=0.53 ce=-10.00 name=C20:1_eicosenoic_acid">1329777</offset>
      <offset idRef="SRM SIC Q1=343.125 Q3=59.000 sample=4 experiment=1 RT=3.80 ce=-45.00 name=maltitol">1345365</offset>
      <offset idRef="SRM SIC Q1=346.056 Q3=78.800 sample=4 experiment=1 RT=4.40 ce=-45.00 name=AMP_(adenosine_monophosphate)">1360917</offset>
      <offset idRef="SRM SIC Q1=361.202 Q3=331.300 sample=4 experiment=1 RT=0.59 ce=-15.00 name=cortisol_">1376400</offset>
      <offset idRef="SRM SIC Q1=391.285 Q3=345.400 sample=4 experiment=1 RT=0.81 ce=-45.00 name=deoxycholate">1391880</offset>
      <offset idRef="SRM SIC Q1=407.280 Q3=343.300 sample=4 experiment=1 RT=1.50 ce=-45.00 name=Cholate_">1407568</offset>
      <offset idRef="SRM SIC Q1=429.374 Q3=163.000 sample=4 experiment=1 RT=0.47 ce=-30.00 name=α-tocopherol">1423416</offset>
      <offset idRef="SRM SIC Q1=464.302 Q3=74.024 sample=4 experiment=1 RT=2.45 ce=-45.00 name=glycocholic_acid">1438903</offset>
      <offset idRef="SRM SIC Q1=498.290 Q3=498.290 sample=4 experiment=1 RT=1.60 ce=-10.00 name=Taurochenodeoxycholic_acid">1454540</offset>
      <offset idRef="SRM SIC Q1=258.252 Q3=258.252 sample=4 experiment=1 RT=0.53 ce=-10.00 name=FFA16:0-d3">1470593</offset>
      <offset idRef="SRM SIC Q1=411.306 Q3=347.300 sample=4 experiment=1 RT=1.50 ce=-45.00 name=cholic_acid-d4">1486174</offset>
      <offset idRef="SRM SIC Q1=183.082 Q3=82.000 sample=4 experiment=1 RT=2.10 ce=-30.00 name=hippuric_acid-d5">1502028</offset>
      <offset idRef="SRM SIC Q1=169.103 Q3=152.100 sample=4 experiment=1 RT=2.52 ce=-15.00 name=phenylalanine-d5">1517700</offset>
      <offset idRef="SRM SIC Q1=121.100 Q3=121.100 sample=4 experiment=1 RT=3.11 ce=-10.00 name=proline-d7">1533432</offset>
      <offset idRef="SRM SIC Q1=121.045 Q3=76.100 sample=4 experiment=1 RT=3.97 ce=-15.00 name=succinic_acid-13C4">1549337</offset>
      <offset idRef="SRM SIC Q1=150.093 Q3=131.100 sample=4 experiment=1 RT=3.80 ce=-15.00 name=glutamine-d5">1564877</offset>
    </index>
  </indexList>
  <indexListOffset>1580546</indexListOffset>
  <fileChecksum>4481502CB236A350F900C17367B9E465C77EF3B8</fileChecksum>
</indexedmzML>