<?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="sample42experiment1SpectrumParams">
        <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="13932">
              <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="6428">
              <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=42 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="13932">
              <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="3704">
              <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=42 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="13932">
              <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>eJwt22VAFU0bBmC6UTiHPLt7rM/ubuexu7s7Xru7u7u7u7u7u7tA7EAQRRHke2bm5s8teFh2Z+ea2tkyed3q7D1bTYx5teRNbFwLsfNx64G1nZ3EsjPxSRvP9RAVHpwVo/b3FUerBrjlnDRQ7BsWv7tOt6Eix/eS/ZJLjxTUbEqnaXPGilzGuSkPAiaKRiN2Hmw3agqON108XF1ucpkCs0UN9YM5OM5Ckd1WvGtf5zKx6GnHu0cOrBInl38ZEjx6rchXY6NfpcwbRPjcjQ2Wj9gsnvzI6JI553ZR42uBj8+f7hL/q7ml2N/ve8TVxrEte//YJ7bvkCd8UMxwP9t2+LbDYuGMqPNdvY6JUifqLcww84To8yuq4Be/08Le9ty9nB3PiAPX1vfrduqsaFxkon1b5HnxZ3XnfZ/6XRDL/KvWz3Hzoig9MMeP/7JdFq9e+8/bMvaKGFNd/uGrItPBm3ezFb0uLqTf3bfLnBui87Q5ts2fbwqPYcX5FG+LhvlybLHfvi02vnUMKTjijkhcKg94V9R7UTV/7kd3xbq5JVxrjr+Hcrsvjj6dmtIx8b6oduHJpFu7H4g7GZ/9Gdn1oWgbmGP8h0yPRHzi4DT1XjwSY6MvLT628LGw3wjLlLnOE7HuUMcdM32fihyhndOVOfdUHE09sGXT8Gei+iePQsFFnos7lb02no59LtoWkGf0QsSb64/Oa/dSDB66IVd585Xw7ZhwcPuDV+LGpjXpp1V+LbLEjFt5Y+trkdRUBBVMEyVu3koas7hPlMga8CL16f0oMbrKqRFWsWjxZPyav62XRYsCZ8YNWfsvWkzjs49p+0bEFK8yIOuFN6LC7kXzSueNEdm/Bp7MtyRGTG7f8nkl97eix+p7XiV6vEU5vBV76y+pXb7sO7FodtqhRba9E4lerRfXCH0vnpWXFe29KHn0f1ENP74X6VUBfhCje3zK3vrEB9Fxa5sG9bJ+FNXePxxZcc5HkfNO9/z13D6JuWOyc4l+En/yv9uZOeaTaB29tkfahp/Fxbmtc/258FnkLm9+ji7yRcz78XjL9U1fRNK6BV0ORnwVbfloq6d8FZc80r6bkvRV5FEV45uYy3d14Jtv4mev8QWGNo8VUe86p9D1WPGmecXuKzJ/F4uzfnrl0/G7+Ccvf813ca4Dn9jd76LYnqUs5rtYWOlIhn3p40TY32vfrpSPEwt2vTz2ulOciHDN1rTtjDjRrvHo5912xul6eytOLP9YvcX+r3FieuZTTeL948VwdePihW3c6atrKsaL2PWLF3brEC+uXezdrvC4eLHpQ5U8qWvixTi/DEmXT8eLNnyVc1/Fi1K17sxp8S9eRPTe0jKL9UMkzJEF80Pc3tf055FmP8SOB/n5zv3Affwhzt5O2VXzxA+RvCXubs3oH2Lwu9/DSnkniD2nvqwslStBfF78+kypugmi84P3XXMOTBCrdz6bkXNZgpCl6TidIBqdf9jU8TZBzFpxdbjD76c4VqPEoV85f4oNfLoxNX/qetjrpwjZWTlq6PyfoknIFLPwkZ9i2VCW++Kn+LXoxbxJnr/Ew2Hhz5Nz/RJBXBvKNP4lvEPL8an/EuMG9q96dtsvMTR49NzQh7/E/rSr2jZ2SRSqeuVI1PWzQaJo45d80xyVKJps8OZLTxRz1mV5v+deori2puLBHymJwmN1hwmFs/0WZVaOazCo3m8xePnaTEeG/xbv7tWZfWHdb7G4pyzp36Kq7/0Bx+J+o378EXwyzfeIP8I9plW/DP/9EeUTTxX5Of8Pyv2P8BqzoPy0L3/ER1evFl3Dk4SsRUXLJYlBuTOkS+ieJCaO+tcl89IkEbnY7VTBS0mia80fM+snJIljbvKAf0XA4ft55tX6K1r2uPBv77C/YmdGbmA2/xWpjzaujH/wV9SZsainzT1ZrJHNZ75kUaj59PnUMllMCBrRoc3UZPHwQo9Cow8li6zDWnmsjkkWg/PVvn8qOEX4bDebdSiZgnqaIrKpBiNFbIvMtavX0RSRZ/bq3/nfpYg9XlzQwf/E6+XBG06U/Qf3/1Cv/+n7f+efmPt9a4KLe6pY7/Hp6ItiqeJgRPYxR3umimqNmozzW5Oqnd5LFc0cbyded3OhDdFfznWOcCH/p3cy++Z1oZvtNxVYVcmF5nwdLgq3cqGGg+rVuDbAhbQHFypmfQv6ssGFDk3aOmHUSReaN77xBu/HLqTaxe8u5MbFu8jXlY5UelmjdUZX6jOpTd6sJV1p05BL2UvUcyXVTHR1pSrHa3fpPtaVuNEf0GeZK+l+y5VqGx/2j7npSk1Vw+pKx18zaBc3GrSkf8+v4W50z13eCTfK23Od6/GKbvQxS36f7S3caF2mI8mT+rsRd4ZhXWe4UbVh4/LW2OhGrHRa5lNu9D2sSp3kx26UUJlbojg3auifmnzHz50qZqxc82Ymd9L3wZ2uFY7vlFTPnWaeutRvdld3Us3kWHdS3e5Sd9rZPSBro33udHPy3Zevr7mTrIZ93rrT29vcIfxzp/TmxUNTIzyoeef/5hsFPKhoh7D966p70K2yW0tm7+RBshfYOdqD+K9XK7TMg3R/6kF5D/9pKm570FIfY2Wrjx4ke9UBbp7U4OTQ2LGGJ6n+s6AnqeayuifJ3jGynSdVYjX3B3tS1vd76i+Z5UmrSuW6v3SjJ8la3eiEJ3Epedrue5LqNz55kvLq6kVTEn1n1Izwoi7duWXJ60Xyry2t4kX/e5m1UJG2XrRm+suFB4Z60Ygp0w6Wnu9FTScWe3hhhxc9KhRbrOIlL9qXf3mTG6+9KI/q4L3oW2EeAYR4U5ysfnm8yWjgc6dyJW+qmGKsmd7Km3ptzNvnzkBvGpW+kxk005tm8OFLbPSmlSH3+s447k3cGZY6cdebup1aWyXmgzet48v0T/Wmpwa3sKE+ZLv6oUfTnD705W2HW9PIh/wl6wY+1NV9RZHb//nQlbdi/auRPpTtcnRw7Dwf4s5id9QW/PykD6nu8Z4PqX7lvQ/J2/Q4yYcmxe3IeDCNL6l+N6MvJZfmhqeoL20OWjsroIYvNXizYdn5Nr6oX74U1/56y+qTfSljyq8Br5f70i/3/G9G7/alK37d6mQ470tR+U42PP/Ql1T79tGXel1rZtmTffF3/GhVOEPK4Eeh06vxCMCPcu9dEbupkh9lzS9roB9l8d1VLW1vP/LbO/j83/F+xI1ZtQtL/OjUx96T2uzCz8/7UWLOqRVmPvWjt23XPCwU60ey9b3r7k8fKrpUaxThT8k/uKLn8ifVDpO/vv76/nT+d6Pg5p399fUP9ad7UWnOtJrpT9zalHi+xp/UuOSgP229zgOOa/6k2o0of33/fvnTgxV8wwID6JkcDv0vgFR/XzqAMtd59PViwwDqHnMjIXPPAFKnPzGAlp48X/HZygAq/XZbYp7DATT2BA8c7wRQeCb5GwH0fdPF6kV9A+lyri6VF/0vkJ7y6ConBdK+gD7bpzUPJDVsGxhIhwweAc4LJNnbZN8dSDeuy69A+iMv52Mg9Wy6rf1Y7zQ0PrD2rvmZ05AslWIV09DZ8Cz1Pdunoegm4YfujE5DHo3ScJGnIf7purlH0xC3ChH9HqUh3d6nIXVbgtPSbvf307PlTktyVDS4eloK5NN51iUtsaYQMTEtdVs6aPnadWmpjGoY0lLQ+enuZ6PSkvqYSxA9blFlab3gIOrJrT5lDKL7MaUG5igYRGqcXj6ICsiOp0EQyeFFng5B2ln/IOovAYwP0uczP4hON09fNm5dEG04cSY8y74gmpqu/bdmZ4NIjePvBBEPPt3rvw6iKwNPrnLEBlGgZ9NS0SlBVE9W9IBg3b4awfRsVzZb8RzBtHNO0XuLigVTqwXONqcrBtPLPlNnxtQLJtX8tQ6manLg0C2YIqqP3BMzKJjUMHp8MKnh1+xgGiuHb8v592QzsTmYZDNabX8wFZcd3Olg6sSjXef1YPQLwbSLhyHGm2DdfnwNpg6yQH8H08ri/5y3XG2kmkl/G7VduXlUphAbNb93/E2IZaPMPKp0zWLT/UEeG1XNk5ohpYiN+nWRPZNN3+/KNlrSh4pNr22j+e2a7ZzT2Eaz83PBtrbRdJf523d3slGTzYVvlOxp0/VzgI22jMo0/84wm67vY2zEd2ds9CQbefDt/jrDRpPCntxMnGejZ86tYf+W2EjNc1bbqOz1YunNjTZacN+3S8btNpKTm2x7bdSDu4OCh22kpgknbVRBfp23UeyVc+V2XOHz49Fz2C2b7t/u2+hbs3JlPjzhn8vh2isble9UtuTRGP7559PFM33C9cTyz+X4JYF/LrvhJBupYUkq/1wOLzzt9FtON3zttOM/voNp7KTG1XY7Ve77J+3HcDsNkRdu2OmZ7F7S2SlQTugy2Unwb4/MaqfVgitQTjvdzcwNTl47echutaCdinD3Zytqp0Wps0f+LWHX7WcZO8nh8blydmrxJKLW9kp23T9Ws9PpDQOX9K/F3+fkCWVDO+XiZmlpCzvJ5npbezup8VpXPu6NkrXu9LETV9ZB7wbbac0e3/KJo/h8eBbjM8lOL3rykWfaaZvsPhbYSc7uyiy3U72qK0ZnWWvX9WQbH79jZHSTQ3b63oYrzDk7HWiRqdfGW7jeZzi/d3btI85OP/aNTN8p2a77Le8QmpGNR6RBIdRPFrwjhLLLDjpTCL3K0e5zrtwhJFlsKBJCNWwshEL0eKZqCMnuOah+CPX82jhkSosQkt2bV6cQUsPZXiF0JvZ6XOLgEBr05urF3mNDKPejy8s+Tgsh+W27BSG6HFeG0KgnpflUQ3R57AmhL3zbqx0LobX7i/4+ez6EJsvm72YI8SjB5cijEJKzv/xRIbRtK399CtFOEkJIzbdTQujGhPXZQ71DaTzP8mYEhZLi5Ail9JMjvcdnCiU9Xg+l6b1C9wwoEkrl2tsnfhOhut2sGkrc2+R7XS+UFnTkGWCLUKouoXYMJZ78BtbuFUqHmcelwaG6HRsbSv/LNnL6kWmhul9eEEqneZS9a2UoqWn45lDK7Ywrs2ZPKL0JjrU7joXSEs+vH+aeD6Xafz6d8L8ZSl787fhHoXpc9zqU5PBj19dQsuS0NykU1xNGIztzDbOHUd6qgxsOTR+G+xNGswO4IhcPIzXgqBRGcbfS7ahQP0zXp9Zhut3rHkZuA7hGDQmjfY14xjgxjNrLCd/cMHobn+5ur1VhcBymx0+Hw0jNby6E6XHq3TDi2cSpLy/D4DGMZLeczyWchn5p8O5eUDjJWe6gDOEY54Xr864crvv7FuEULL/6hFNlHgZHjw2n4dsm79g3P5zG1eUKvTFc99OHw0kNc8+F07P79U8OvRVODZeP+B3wLFyPw9+FUxU5cY4Pp7NyeSclnNR82zeCDoypZXwIiUD5ROjxSq4Ikqs9S4tGUHe1gBBB7+Twp1YEtfa+GVm3WQRx61b/TccIqq86hgji0cxl7xERevw3OYJOy+nk/Agqvv8y9ygRpNaPtkWQmpcfjNDj0rMRlP5uLz5kBC1dwl9PIkit17yN0L6+R5C3GnBHUN3ZFzK99I7U41d7JFVIxzOsdJF08l25u/NzRFJROaAuEkl7BvBMvGwk5Sx9enT1mpGk5i9NIsl53f6zV4dIWszDcLfekRQsC3xYJE3LyDPHSZHkyR87PDeSuLcKr74yUreLWyKpL9+2Xgci6bN3u4uuZyKp461pLvOvR5Js9jM8jtTu30QSq6lTKTaS6qZWyrYuMZLuPOYJd2okcafuaODjIPlr24McVLtjmUDPSAfdLDN8YssMDqoVcTT1QHYHydGDrYCDhsuCL+FAO+kgtXxT3UFJI7se71/fodun5g5S6x4dHDTYnyV1d5CaF/d30MOAhY+KjnBQQznRneAgnhxe/TDDQQ1kB7LQQXKUvGSlg3g2Vjh+o0P73OWgMVnOTtx0yEEu8uu0Q7cvlx2Uupdv3G0HsdZuvk8clHtG3/Kdohy0vdPu4yc/OiiXBBTvoM8n/HuO/OWgp+24xJMcul9KdVCTVq/6H3Y3iFuP7el8DFLz5wCD5Ow3PsigCcNv72saalCFpK+fT0caVHDVxLG5nAbG0Qap5ZUsBvoZg1jLmRt5DXKWXPCnUCGDtt/liRynXFUsWdigi648cuZU11vE0ONozp5yYFjUoOTWy4Ze5VTzlmIGhc0avOo25/osPPEpblB+OezmlNG0hEFq/ZFzS8ssK5qXNKgoN1MvOeUwrW0pg+r+ry8PyQx6dYwbotIGda/PLRSnbKZ6ljFoEl9NHGeIY1m+/sLQ7Qun8kaGbr845bejyxr0MC0fuZxBHZjtRE7ZCvqWN2ik/A/OgJ78rwqGbg85+az+hlY0aH+hq4FLONX4opKB+bdBLfh/M1Y26ONcHkhxqva1ikEectmUc07T2zPzVOXylH+IUzYvhapxecoJKKcc3peobpC8rBOcal2sBpenPCFOdfiaXJ78a1c5w+S3tQxa93x209uc+fundqtfm8uTq8dDzuryP+oY9KQE/4uzEw8rWtc1SC6+RnOOduWZbD2D0sgL5ORS4wMYej7GebA1l3gDQ49rOOXZD25oUCtZEJyqHjYySBana2ND9xOcahzZxNDzas6dfLqBTQ0qqU7IIHl4ezOD5K8t4lT9TnODeqsbb1AKccG2MGgal8Y6TrXe1tIgtfzUEvW2laH7Mc6a8ga0NvS4ibOLPEAbg2T1OcY5TlaLtoYe73Oq29jOILUKzXlYFnt7Q68rcKpi6mBQG1nhONVldTRoqCowg3zkaXQySK87GqR+rbNBu1/KimmQWt/uYhDXEs+vnGpe+Z9Bb0vJ/zBI1uKBXQ2Sd+sPp1pX72aQQ90Ag2R1HNvdoMLyAD0MktVnMqdqv3saevzIWVI2KL24PBcfWzibU62P9+bylMvZnL1lB9KHy1NOezl51hCfri+Xp5xIcar5ST+D1DI2p+pH+nN5ymaKU40XBnB57vvU7wDnz2o80BhokFov51TriYO4PIP5SJxydb7CYAPjDy7Px98Tqg3h8pTdDqfqz4ZyefKfuc9ZXQ5jhhkkf/yUUzbXTYcbep7OuWs+D3BGGHp+xLls+aVaHUcaup/nVMvJoww9PuK8LZfXRhvUUi6ocar+fgzXzzM3biVxqsOMNUitt40z9HiLc0c6+Q+D5OrqVM7LtfhMJhho1w2KHiH/ApcnD8cWcqZs51+YxOXJw+blk9DeTuby7McTQc4CcmFuikFyWWQzZ011YC7POzxw51TDj2lcnjxsPsA5drEcsBgki+MY5wq+zDIzuDxlA8wpf7vCTC5P/nOXONX4fxbaZ045vKkz29DjHE7v8ed+N5pjkBxWPuXMuG+11XKuoceNnKXkBc3j+jmEf4GzseqgDYrZfGXIF07VDy/g+inXSTnVOHQh1095YM5NK+MfDFtkEM8mP/zjVMW72ND97RKDVHFwqnHtUkOve3DK0wpeZujxAOcqPkz4ckPPPziPZOATXWFQZfkPzvt1eCCy0iD+K3wmBsWO6vEp+yqDhssC51Tju9UGqecBnGodbI2hxyWcsjqVWmvQdfk4ilPe/nLrDNLr0oaet683yNVdPpkwSBZvrQ0GmfIGcm7h4miw0aAi6gQMvQ6zydDjI049nzb0+henGp9vMYgrY49PnLJW9tjK/ZAla6RB6vnHNoPUOj5nVVng2w093udU1XiHodfjdnI/JKsdp1rn3WXocS2nWm/abZC6rZzydoXu4X5I3gZOdTf3GqSKjXOgKiCD1GVyytPPup/7IXlanGr+dsDQh+G8yP9d6CD3Q/JEOblW8j8MUo+JOP8yMzpskFRzjjNUFTj3Q1wKVzhlNa5x1CBZPW8dhfNjBj2Wy+7H4Pw490N8+59z6udPcH4Czk9yPyQr2Ek4PwXnp+D8NJyfhvMzcH4Gzs/C+Tk4Pwfn5+H8PJxfgPMLcH4Rzi/C+SU4vwTnl+H8MpxfgfMrcH4Vzq/C+TU4vwbn1+H8OpzfgPMbcH4Tzm/C+S04vwXnt+H8NpzfgfM7cH4Xzu/C+T04vwfn9+H8Ppw/gPMHcP4Qzh/C+SM4fwTnj+H8CZw/gfOncP4Uzp/B+TM4fw7nz+H8BZy/gPOXcP4Szl/B+Ss4fw3nr+E8Cs6j4DwazqPh/A2cv4HzGDiPgfO3cP4Wzt/B+Ts4fw/n7+H8A5x/gPOPcP4Rzj/B+Sc4/wznn+H8C5x/gfOvcP4Nzr/BeSycx8L5dzj/DudxcB4H5/FwHg/nP+D8B5wnwHkCnP+E859w/gvOf8F5IpwnwvlvOP8N53/g/A+cJ8F5Epz/hfO/cJ4M58lwngLnKXD+D87/wXkqnKfCuYupnXMq566mds6pnLuZ2rm7qZ1zKucepnbOqZx7mto5p3LuZWrnnHr9wtTOOT/s54m6j0kDanxvs5JTPZ/0NWn2MP4kp3LuZ2rnnHo91NTOOZXzAFM751TOA03tnFM5T2Nq55zKeVpTO+dUzoNMrFuY2nmwqZ1zKuc2UzvnVM7tpnbOqZyHmNo5p3IeamrnnMp5mKmdcyrn4aZ2zqmcR5iYP5vaOadepzK1c051WoapnXMq56apnXMq55apnXMq505TO+dUztOZ2jmncp7e1M45lfMMpnbOqZxnNLVzTuU8k6mdc6p13P+Z2jlna/kgJrOpnXMq51lM7ZxTOc9qauecynk2UzvnVM6zm9o5p3Kew9TOOZXznKZ2zqmc5+LybLB8xG/OQl/8Zg/LbeL5mqmdc+rntqZ2zqmc5zO1c051u/Kb2jmnmvcX4PJ81KLKUk7lvKCpnXOq0y9k6ud5nMp5YS5PuQ+Fc2Fyuyt5i5jaOeeenPzRoqZ2zqmcF+PylI9dOZXz4qZ+jsXpKv9wCZNm1qnU6xqnXN6vVdLU6/KcReTCZimT1PInZ13+WLPSXJ4v+Iuzm4RUxqTfAcfcYjgnMrfOgsuz1OKsnzjV9hXi8pQf5FTP78uaVGVpvT6/OB/KbRXlTGp/Je/CZE61jlyey1MesAKXp4TJqZ7HV+TylA+QOdU6YiUT645wXtmk5hb/5cpwXgXOq8B5VTjnlB/LWs3U67icxcpFnshd3SS1nYizvtz4VMOk1z5c0JxqH05NLs+i/EFOtS5ci8tTPkDmVOtWtU3KJ28I54ncfMF1TP0cnlM9f6prkto+xClvR5N6Jo3mYn7GGSgLpr5JsliiOLPJ7QcNTL2uyClPr1tDk27zn/3G2VIWYCNuN/ljCZyD5FdjbjflRgpOtf2riUny8bZLU2435f4VzhLyQpqZpPbtcKr1zebcbhbkCs2p10tNSuFqtZBzahJfcEtTr29zbuDbm66VSWofE6d6nt/aJFnMmznV88I2pn6uzqnWy9tyu8mXsZ9T7fNoZ5L8s8c41T6s9txu8sfOtIfzDtxuPtvb6FIHOO/I7SZzu8E5VBZ0J2435YVwcuntbdTZJFmdn3Du4mraogu3m7LCcMpq1e4/bjflBXOq7ShdTVL72jhT+bb16sbtptw/xCmLeUB3OO8O5z243ZTbtjjV86+e3G7y6Xn04nZT3mBOtU2ut6nX/Tn1erNJ8vHA/D5w3hfOOSUjqx+3m8xjNad6jtAfzjmHywo9AM4HwPlAk2R12TsQzgeZ+rkEp7xtpQbDOafaTjMEzofA+VA4Hwrnw+B8GJwPh/PhcD4CzkfA+Ug4Hwnno+B8FJyPhvPRcD4GzsfA+Vg4Hwvn4+B8PJyPh/MJcD4BzifC+UQ4nwTnk+B8MpxPhvMpcD4FzqfC+VQ4nwbn0+B8OpxPh/MZcD4DzmfC+Uw4nwXns+B8NpzPhvM5cD4HzufC+Vw4nwfn8+B8PpzPh/MFcL4AzhfC+UI4XwTni+B8MZwvgfMlcL4UzpfC+TI4Xwbny+F8OZyvgPMVcL4SzlfC+So4XwXnq+F8NZyvgXPO1yfTLC+4lstTbmjllMvSxdfB+To4Xw/n6+F8A5xvgPONcL4RzjfB+SY43wznm+F8C5xvgfOtcL4VzrfB+TY43w7n2+F8B5zvgPOdcL4LznfB+W443w3ne+B8D5zvhfO9cL4PzvfB+X443w/nB+D8AJwfhPODcH4Izg/B+WE4PwznR+D8CJwfhfOjcH4Mzo/B+XE4Pw7nJ+D8BJyfhPOTcH4Kzk/B+Wk4Pw3nZ+D8DJyfhfOzcH4Ozs/D+Xk4vwDnF+D8IpxfhPNLcH4Jzi/D+WU4vwLnV+D8KpxfhfNrcH4Nzq/D+XU4vwHnN+D8JpzfhPNbcH4Lzm/D+W04vwPnd+D8LpzfhfN7cM75+2yHrW3uc3k2u3f8Dac9vuytTg+4PKfsjvrIqbY9PuTyPDzD6zun3gcD54/g/DGcPzFJbRN/AudP4fwpnD+D82dw/hzOn8P5Czh/Aecv4ZxT7dd4xeWpHpCbpLYNv+bylBfwGs6j4DwK/Xk0+vNo9Odv4PwNnMfAeQycv4Xzt3D+Ds7fwfl7OH8P5x/g/AOcf4Tzj3D+Cc4/wflnOP8M51/g/Aucf4Xzr3D+Dc5j4TwWzr/D+Xc4j4PzODiPh3POcHnDfsD5DzhPgPMEOP8J5z/h/Bec/4LzRDhPhPPfcP4bzv/A+R84T4LzJDj/a+rnmpz6eS+X56QJze4lw3kKnHPq/c6m3gfBqd47SIVzTr1vytLOOafzd71cLYrs98gWz6n3Q1pUSG6U4DxTPFO1Ye4WqcNyPuePj/Gw6D8ZnpZ+ns8pd4H6eVkUfOko13SLVrbKfi3I26Kc8gOcR7j6h/lY+vk3p9p+5GuR2m/Oqfbl+FmktpNy+hp8BH+LFu4N6LOdM5PcaBpg0Z6ojwv2cpaRBRJo0bUg/oOcav9RGks/h+eUl1M2rUXyNC9wzuQ/XyXIIkOdmEXy47WCLb0/hFPtV7dZpHhyvpzHBWy3qJu8AE7lPMTSzjmV81BLO+dUzsMs7ZxTOQ+3SG4T/8XZXj4wjrD0/lhO5TzSIn9ZIA6LFnMxTuBUxWNYel8eJ8nLMS2SpzmHU+/bsugDH3YRp/q40yIZKzmV83SWds6pnKe3tHPOC7PkByyS28x2c6r+PKOl+3NO1Z9nsmgyV6/jnKHyQP+z9L4ZTv0eikUn+CyucKr9v1ksksV9i1O/j2CRagY51XPybJbe18ep9t1mt/S+Uc4DfNgOOSwqxx9/zymja06LWv4rn/SV8xPf7T65LFL7xzk91QVYNLcFf4BTbr8dkcciVa3zWlRCVRSLVDXMZ+n9dJzRstrkt0hWh1mcej+BRVP59i3gVM4LWqq4l3OqfYOFLDolhzuc6rILW6S2FXGq/f9FLJJ/fienOmxRi9Lyx/dzqihmUXZZQTkPcateuriln+NzSk7lS1jUWn6AU+1PKmlp55zKeSlLO+dU+4xLW6S6B07lvIyFfWOWdi4sigmRN8zSzskiWYyfCc7LwnlZOC8H5+XgvDycl4fzCnBeEc4rwnklOK8E55XhvDKcV4HzKnBeFc6rwnk1OK8G59XhvDqc14DzGnBeE85rwnktOK8F57XhvDac14HzOnBeF87rwnk9OK8H5/XhvD6cN4DzBnDeEM4bwnkjOG8E543hvDGcN4HzJnDeFM6bwXkzOG8O583hvAWct4DzlnDeEs5bwXkrOG8N563hvA2ct4HztnDeFs7bwXk7OG8P5+3hvAOcd4DzjnDeEc47wXknOO8M553hvAucd4Hz/+D8PzjvCudd4bwbnHeD8+5w3h3Oe8B5DzjvCee9LOwHtLBfCc57w3kfOO8D533hvC+c94PzfnDeH877w/kAOB8A5wPhfCCcD4LzQXA+GM4Hw/kQOB8C50PhfCicD4PzYXA+HM6Hw/kIOB8B5yPhfCScj4LzUXA+Gs5Hw/kYOB8D52PhfCycj4PzcXA+Hs4nwPkEOJ8I5xPhfBKcT4LzyXA+Gc6nwPkUOJ8K51PhfBqcT4Pz6XA+Hc5nwPkMOJ8J5zPhfBacz4Lz2XA+G87nwPkcOJ8L53PhfB6cz4Pz+XA+H84XwPkCOF8I5wvhfBGcL4LzxXC+GM6XwPlSOF8K58vgfBmcL4fz5XC+As5XwPlKOF8J56vgnFO9VrnaIrktdiPnwi4HI7Kv4fKUb4Nyqvdo1lp6vzynej9unaX3mXG++1lzUsn1cM4pf63sBjjfAOcb4XwjnG+C801wvhnON8P5FjjfAudb4XwrnG+D821wvh3Ot8P5DjjfAec74XwX+vNdcL4bznfD+R443wPne+F8L5zvg/N9cL4fzvfD+QE451T7Iw/COad6L/MQnB+C88Pcbsr34DgnlfQYVvwIt5tywyDn2q5Rq8RROD8K58e4PPPnfnSZU25Trn7cog7yxbzjcH4Czk/A+Uk4Pwnnp+D8FJyfhvPTcH6Gy1O+JnkGzs/C+Vk4Pwfn5+D8PJxfgPMLcH4Rzi/C+SU455RvMdsuwznnevka4BWL5GUtuwLnV7k8+TTWcKr3kq9xuylfKOFMkK8pX+d282jPojs508iCvcHlKd/vvAHnNy1S789xqvdlb3G7Kd+T5JTVtvxtLs+Bb65e5BwiD3DHIvk273XO+Vwt6tzl8pQvzHCq98bucXnKF5A5r3Cxt7jP5VmQBXCqfeIPuDzbFR73lvPfH76hDy39/gtnpHyN7xGXJx8+jlP+Wv/Hlt53zllL3vgnln5vgfM/eeJPuTyZlcczLs+3DIwzeATf6eeWfu+Kk5VNCHph0eHyfIGcleQBXlp6vymnel/zFZfnGq5Ir+D8NZy/hvMoOI+C82g4j4bzN3D+Bs5juN3kw5+MgfO3Fslvz3Oq98becbv5mQuWs7A88ffcbjr4PzjVvtwPFqnXkzm7cfVu9tHS+3451fuWn7jdlAfgVPtPP1t6Pz7nMb7d3b9wuylvFKd6n+mrRbLYf3J+l9v4v3G7KUF8Q38eC+ffud2UBcaptgfHWXjPgNtN/rU08ZZ+vZ7zQ3o+8g9uN2XBcsq3hBwJFs16z//BaY3if/3k8VEY3+mfcP6Lx0cV+Qb8gvNEi2Q1282p3jP5Dee/4fwPnP+B8yRLv6fIeYKLs+JfOP8L58lwzqneV0/hdlOeEKc8fJN/ln5fi1N+2yrVItbTNYqznCxYFyfdMvk3OCWrrq5O7ZxTvffg5iT1fj2nei/b3Unp5AVyymo2wsNJsvq4eDrpknw9mlO9R+HlJHkbp3D2kgXh7SRZ7LM4lXMfJ4VLEJzKua9TO+c8xafr9HNq55zKub9TO+dUzgOc2jmnch7o1M45JauiaZzaOadyntapnXMq50FO7ZxTOQ92auecyrnNqZ1zKud2p3bOqZyHOLVzTuU81KmdcyrnYU7tnFM5D3dq55zKeYRTO+dUziOd2jmncu5waueGUzvnVM5Np3bOqZxbTu2cUzl3OrVzTuU8nVM751TO0zu1c07lPINTO+dUzjM6tXNO5TyTUzvnVM7/59TOOZXzzE7tnFM5z+LUzjmV86xO7ZxTOc/m1M45lfPsTu2cUznP4dTOOfU+c6d2zqmc53Jq55zKeW6nds6pnOdxauecynlep3aez6mdcyrn+Z3aOadyXsCpnXMq5wWd2jmncl7IqZ1zKueFndo5p37fwamdcyrnRZ3aOadyXsypnXMq58Wd2jmncl7CqZ1zKuclndo5p3Jeisuz+KwVVzmV89JO7ZxTOS/j1M45lXPh1M45lXOCc4LzsnBeFs7LwXk5OC8P5+XhvAKcV4TzinBeCc4rwXllOK8M51XgvAqcV4XzqnBeDc6rwXl1OK8O5zXgvAac14TzmnBeC85rwXltOK8N53XgvA6c14XzunBeD87rwXl9OK8P5w3gvAGcN4TzhnDeCM4bwXljOG8M503gvAmcN4XzpnDeDM6bw3lzOG8B5y3gvCWct4TzVnDeCs5bw3lrOG8D523gvC2ct4XzdnDeDs7bw3l7OO8A5x3gvCOcd4TzTnDO+X8vi/D4</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="416">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0k0rRFEcx/HbyNaGvVkoWwsv4Cg1NQvNQrGkvAAL2akrZkPkYeSh1CULqalZMNSkPKQksiAiC0qNhYVSbOX87n9xvAR9P5tv59zzcLszUQQAAAD8kUw736EVNb+p3q6pnatqNKU+z7pg39Go2jKvuhk1W0zXj6uTi+F+G9s5dr6Lw3VuOJx3Y+F8PBHea2N7n51EvdxW9099Xe7Rt+Puwzc78uWbNHzqeaGuvj/4xuUr7a+fqPlztXqtdc33Gh9ofZS5UXvS54O6r/Kk+/pbG7t+Wzhr8q1sZHxd+5v21S7UrZrat6e+HOp9Bo41/q6q3eW066r9nm1LYXtL4bi0rNr3e02/2+5COj8Xjm2f/T/sO9s5tt/uBwAAAAAAAAAAAAAAAAAAAAAAAAAAwL/xA3RNay8=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=87.009 Q3=87.009 sample=42 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="13932">
              <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>eJzt0j8vQ1Ech/G7aGpgsjB2q6mTmOTaxGiz9RX0NdjQBYPE1EmD/qFVRLoQEhFBCDEIg6QJYdIBkQbJ+f7OcIxifD7Lk3Pu7bn3ntMoAgD8u1w9di1sqJM19auqZitq08YNu7+noS5ZU1vqQj2c77N18+thE/XweSObcfA+iXK4Xu5X58vhfX6dGxuf23OGSupzJbw+YOPUmjpeDr5jqnOgTl+p6ZZrZq7tWlv8ds12ukbd6yS7XYdnk66ZT83PlCLXuP9D67y/uu5PPOl50YNrfHqrcfFafbtQBy/V3jP9fuxEfTzS/P2hff+efd+O2ty1+W01bfP+/F5sv/2++/PwY78/LdtXv39pu8//P1p2vv48MtXw935//fm0bezPoVBU71bVil0/Xgmv55dVAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD+6Afa8YGE</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=87.045 Q3=86.900 sample=42 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="13932">
              <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>eJzt0T1KA0EAhuFUIYqH8BARxMoDGMkhUngIiy1sRNT8rCbrvykUg0qikEIULCIWFlpaBEvrLXIAId83xYCdjcX7NC+zOzu7M1soAP9Msbs87VpHvW6pnw212lZHqbp48Pu45nWqV+rCQG321c6TOvuqDj+mTbJ39eFN/X7R/fajOjP0d3nd9EIdH6vlM7/30D31+07iec/1eN76nlryvtN9j72vFZ9DOI+ar+dNP9+I74fzy73OyONwfuH5cRa/PzxXCt+3q85vex87arLp+Rtqf8vr1uPvCu9Lsnj/vXN19VJdulW/btTKnee5lXu1NYiv9zwu+r9OvE7473nX3+f/MHekAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA4M9+AGTUa1c=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=88.040 Q3=88.040 sample=42 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="13932">
              <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>eJwt22VAFU0bBmC6UTiHPLt7rM/ubuexu7s7Xru7u7u7u7u7u7tA7EAQRRHke2bm5s8teFh2Z+ea2tkyed3q7D1bTYx5teRNbFwLsfNx64G1nZ3EsjPxSRvP9RAVHpwVo/b3FUerBrjlnDRQ7BsWv7tOt6Eix/eS/ZJLjxTUbEqnaXPGilzGuSkPAiaKRiN2Hmw3agqON108XF1ucpkCs0UN9YM5OM5Ckd1WvGtf5zKx6GnHu0cOrBInl38ZEjx6rchXY6NfpcwbRPjcjQ2Wj9gsnvzI6JI553ZR42uBj8+f7hL/q7ml2N/ve8TVxrEte//YJ7bvkCd8UMxwP9t2+LbDYuGMqPNdvY6JUifqLcww84To8yuq4Be/08Le9ty9nB3PiAPX1vfrduqsaFxkon1b5HnxZ3XnfZ/6XRDL/KvWz3Hzoig9MMeP/7JdFq9e+8/bMvaKGFNd/uGrItPBm3ezFb0uLqTf3bfLnBui87Q5ts2fbwqPYcX5FG+LhvlybLHfvi02vnUMKTjijkhcKg94V9R7UTV/7kd3xbq5JVxrjr+Hcrsvjj6dmtIx8b6oduHJpFu7H4g7GZ/9Gdn1oWgbmGP8h0yPRHzi4DT1XjwSY6MvLT628LGw3wjLlLnOE7HuUMcdM32fihyhndOVOfdUHE09sGXT8Gei+iePQsFFnos7lb02no59LtoWkGf0QsSb64/Oa/dSDB66IVd585Xw7ZhwcPuDV+LGpjXpp1V+LbLEjFt5Y+trkdRUBBVMEyVu3koas7hPlMga8CL16f0oMbrKqRFWsWjxZPyav62XRYsCZ8YNWfsvWkzjs49p+0bEFK8yIOuFN6LC7kXzSueNEdm/Bp7MtyRGTG7f8nkl97eix+p7XiV6vEU5vBV76y+pXb7sO7FodtqhRba9E4lerRfXCH0vnpWXFe29KHn0f1ENP74X6VUBfhCje3zK3vrEB9Fxa5sG9bJ+FNXePxxZcc5HkfNO9/z13D6JuWOyc4l+En/yv9uZOeaTaB29tkfahp/Fxbmtc/258FnkLm9+ji7yRcz78XjL9U1fRNK6BV0ORnwVbfloq6d8FZc80r6bkvRV5FEV45uYy3d14Jtv4mev8QWGNo8VUe86p9D1WPGmecXuKzJ/F4uzfnrl0/G7+Ccvf813ca4Dn9jd76LYnqUs5rtYWOlIhn3p40TY32vfrpSPEwt2vTz2ulOciHDN1rTtjDjRrvHo5912xul6eytOLP9YvcX+r3FieuZTTeL948VwdePihW3c6atrKsaL2PWLF3brEC+uXezdrvC4eLHpQ5U8qWvixTi/DEmXT8eLNnyVc1/Fi1K17sxp8S9eRPTe0jKL9UMkzJEF80Pc3tf055FmP8SOB/n5zv3Affwhzt5O2VXzxA+RvCXubs3oH2Lwu9/DSnkniD2nvqwslStBfF78+kypugmi84P3XXMOTBCrdz6bkXNZgpCl6TidIBqdf9jU8TZBzFpxdbjD76c4VqPEoV85f4oNfLoxNX/qetjrpwjZWTlq6PyfoknIFLPwkZ9i2VCW++Kn+LXoxbxJnr/Ew2Hhz5Nz/RJBXBvKNP4lvEPL8an/EuMG9q96dtsvMTR49NzQh7/E/rSr2jZ2SRSqeuVI1PWzQaJo45d80xyVKJps8OZLTxRz1mV5v+deori2puLBHymJwmN1hwmFs/0WZVaOazCo3m8xePnaTEeG/xbv7tWZfWHdb7G4pyzp36Kq7/0Bx+J+o378EXwyzfeIP8I9plW/DP/9EeUTTxX5Of8Pyv2P8BqzoPy0L3/ER1evFl3Dk4SsRUXLJYlBuTOkS+ieJCaO+tcl89IkEbnY7VTBS0mia80fM+snJIljbvKAf0XA4ft55tX6K1r2uPBv77C/YmdGbmA2/xWpjzaujH/wV9SZsainzT1ZrJHNZ75kUaj59PnUMllMCBrRoc3UZPHwQo9Cow8li6zDWnmsjkkWg/PVvn8qOEX4bDebdSiZgnqaIrKpBiNFbIvMtavX0RSRZ/bq3/nfpYg9XlzQwf/E6+XBG06U/Qf3/1Cv/+n7f+efmPt9a4KLe6pY7/Hp6ItiqeJgRPYxR3umimqNmozzW5Oqnd5LFc0cbyded3OhDdFfznWOcCH/p3cy++Z1oZvtNxVYVcmF5nwdLgq3cqGGg+rVuDbAhbQHFypmfQv6ssGFDk3aOmHUSReaN77xBu/HLqTaxe8u5MbFu8jXlY5UelmjdUZX6jOpTd6sJV1p05BL2UvUcyXVTHR1pSrHa3fpPtaVuNEf0GeZK+l+y5VqGx/2j7npSk1Vw+pKx18zaBc3GrSkf8+v4W50z13eCTfK23Od6/GKbvQxS36f7S3caF2mI8mT+rsRd4ZhXWe4UbVh4/LW2OhGrHRa5lNu9D2sSp3kx26UUJlbojg3auifmnzHz50qZqxc82Ymd9L3wZ2uFY7vlFTPnWaeutRvdld3Us3kWHdS3e5Sd9rZPSBro33udHPy3Zevr7mTrIZ93rrT29vcIfxzp/TmxUNTIzyoeef/5hsFPKhoh7D966p70K2yW0tm7+RBshfYOdqD+K9XK7TMg3R/6kF5D/9pKm570FIfY2Wrjx4ke9UBbp7U4OTQ2LGGJ6n+s6AnqeayuifJ3jGynSdVYjX3B3tS1vd76i+Z5UmrSuW6v3SjJ8la3eiEJ3Epedrue5LqNz55kvLq6kVTEn1n1Izwoi7duWXJ60Xyry2t4kX/e5m1UJG2XrRm+suFB4Z60Ygp0w6Wnu9FTScWe3hhhxc9KhRbrOIlL9qXf3mTG6+9KI/q4L3oW2EeAYR4U5ysfnm8yWjgc6dyJW+qmGKsmd7Km3ptzNvnzkBvGpW+kxk005tm8OFLbPSmlSH3+s447k3cGZY6cdebup1aWyXmgzet48v0T/Wmpwa3sKE+ZLv6oUfTnD705W2HW9PIh/wl6wY+1NV9RZHb//nQlbdi/auRPpTtcnRw7Dwf4s5id9QW/PykD6nu8Z4PqX7lvQ/J2/Q4yYcmxe3IeDCNL6l+N6MvJZfmhqeoL20OWjsroIYvNXizYdn5Nr6oX74U1/56y+qTfSljyq8Br5f70i/3/G9G7/alK37d6mQ470tR+U42PP/Ql1T79tGXel1rZtmTffF3/GhVOEPK4Eeh06vxCMCPcu9dEbupkh9lzS9roB9l8d1VLW1vP/LbO/j83/F+xI1ZtQtL/OjUx96T2uzCz8/7UWLOqRVmPvWjt23XPCwU60ey9b3r7k8fKrpUaxThT8k/uKLn8ifVDpO/vv76/nT+d6Pg5p399fUP9ad7UWnOtJrpT9zalHi+xp/UuOSgP229zgOOa/6k2o0of33/fvnTgxV8wwID6JkcDv0vgFR/XzqAMtd59PViwwDqHnMjIXPPAFKnPzGAlp48X/HZygAq/XZbYp7DATT2BA8c7wRQeCb5GwH0fdPF6kV9A+lyri6VF/0vkJ7y6ConBdK+gD7bpzUPJDVsGxhIhwweAc4LJNnbZN8dSDeuy69A+iMv52Mg9Wy6rf1Y7zQ0PrD2rvmZ05AslWIV09DZ8Cz1Pdunoegm4YfujE5DHo3ScJGnIf7purlH0xC3ChH9HqUh3d6nIXVbgtPSbvf307PlTktyVDS4eloK5NN51iUtsaYQMTEtdVs6aPnadWmpjGoY0lLQ+enuZ6PSkvqYSxA9blFlab3gIOrJrT5lDKL7MaUG5igYRGqcXj6ICsiOp0EQyeFFng5B2ln/IOovAYwP0uczP4hON09fNm5dEG04cSY8y74gmpqu/bdmZ4NIjePvBBEPPt3rvw6iKwNPrnLEBlGgZ9NS0SlBVE9W9IBg3b4awfRsVzZb8RzBtHNO0XuLigVTqwXONqcrBtPLPlNnxtQLJtX8tQ6manLg0C2YIqqP3BMzKJjUMHp8MKnh1+xgGiuHb8v592QzsTmYZDNabX8wFZcd3Olg6sSjXef1YPQLwbSLhyHGm2DdfnwNpg6yQH8H08ri/5y3XG2kmkl/G7VduXlUphAbNb93/E2IZaPMPKp0zWLT/UEeG1XNk5ohpYiN+nWRPZNN3+/KNlrSh4pNr22j+e2a7ZzT2Eaz83PBtrbRdJf523d3slGTzYVvlOxp0/VzgI22jMo0/84wm67vY2zEd2ds9CQbefDt/jrDRpPCntxMnGejZ86tYf+W2EjNc1bbqOz1YunNjTZacN+3S8btNpKTm2x7bdSDu4OCh22kpgknbVRBfp23UeyVc+V2XOHz49Fz2C2b7t/u2+hbs3JlPjzhn8vh2isble9UtuTRGP7559PFM33C9cTyz+X4JYF/LrvhJBupYUkq/1wOLzzt9FtON3zttOM/voNp7KTG1XY7Ve77J+3HcDsNkRdu2OmZ7F7S2SlQTugy2Unwb4/MaqfVgitQTjvdzcwNTl47echutaCdinD3Zytqp0Wps0f+LWHX7WcZO8nh8blydmrxJKLW9kp23T9Ws9PpDQOX9K/F3+fkCWVDO+XiZmlpCzvJ5npbezup8VpXPu6NkrXu9LETV9ZB7wbbac0e3/KJo/h8eBbjM8lOL3rykWfaaZvsPhbYSc7uyiy3U72qK0ZnWWvX9WQbH79jZHSTQ3b63oYrzDk7HWiRqdfGW7jeZzi/d3btI85OP/aNTN8p2a77Le8QmpGNR6RBIdRPFrwjhLLLDjpTCL3K0e5zrtwhJFlsKBJCNWwshEL0eKZqCMnuOah+CPX82jhkSosQkt2bV6cQUsPZXiF0JvZ6XOLgEBr05urF3mNDKPejy8s+Tgsh+W27BSG6HFeG0KgnpflUQ3R57AmhL3zbqx0LobX7i/4+ez6EJsvm72YI8SjB5cijEJKzv/xRIbRtK399CtFOEkJIzbdTQujGhPXZQ71DaTzP8mYEhZLi5Ail9JMjvcdnCiU9Xg+l6b1C9wwoEkrl2tsnfhOhut2sGkrc2+R7XS+UFnTkGWCLUKouoXYMJZ78BtbuFUqHmcelwaG6HRsbSv/LNnL6kWmhul9eEEqneZS9a2UoqWn45lDK7Ywrs2ZPKL0JjrU7joXSEs+vH+aeD6Xafz6d8L8ZSl787fhHoXpc9zqU5PBj19dQsuS0NykU1xNGIztzDbOHUd6qgxsOTR+G+xNGswO4IhcPIzXgqBRGcbfS7ahQP0zXp9Zhut3rHkZuA7hGDQmjfY14xjgxjNrLCd/cMHobn+5ur1VhcBymx0+Hw0jNby6E6XHq3TDi2cSpLy/D4DGMZLeczyWchn5p8O5eUDjJWe6gDOEY54Xr864crvv7FuEULL/6hFNlHgZHjw2n4dsm79g3P5zG1eUKvTFc99OHw0kNc8+F07P79U8OvRVODZeP+B3wLFyPw9+FUxU5cY4Pp7NyeSclnNR82zeCDoypZXwIiUD5ROjxSq4Ikqs9S4tGUHe1gBBB7+Twp1YEtfa+GVm3WQRx61b/TccIqq86hgji0cxl7xERevw3OYJOy+nk/Agqvv8y9ygRpNaPtkWQmpcfjNDj0rMRlP5uLz5kBC1dwl9PIkit17yN0L6+R5C3GnBHUN3ZFzK99I7U41d7JFVIxzOsdJF08l25u/NzRFJROaAuEkl7BvBMvGwk5Sx9enT1mpGk5i9NIsl53f6zV4dIWszDcLfekRQsC3xYJE3LyDPHSZHkyR87PDeSuLcKr74yUreLWyKpL9+2Xgci6bN3u4uuZyKp461pLvOvR5Js9jM8jtTu30QSq6lTKTaS6qZWyrYuMZLuPOYJd2okcafuaODjIPlr24McVLtjmUDPSAfdLDN8YssMDqoVcTT1QHYHydGDrYCDhsuCL+FAO+kgtXxT3UFJI7se71/fodun5g5S6x4dHDTYnyV1d5CaF/d30MOAhY+KjnBQQznRneAgnhxe/TDDQQ1kB7LQQXKUvGSlg3g2Vjh+o0P73OWgMVnOTtx0yEEu8uu0Q7cvlx2Uupdv3G0HsdZuvk8clHtG3/Kdohy0vdPu4yc/OiiXBBTvoM8n/HuO/OWgp+24xJMcul9KdVCTVq/6H3Y3iFuP7el8DFLz5wCD5Ow3PsigCcNv72saalCFpK+fT0caVHDVxLG5nAbG0Qap5ZUsBvoZg1jLmRt5DXKWXPCnUCGDtt/liRynXFUsWdigi648cuZU11vE0ONozp5yYFjUoOTWy4Ze5VTzlmIGhc0avOo25/osPPEpblB+OezmlNG0hEFq/ZFzS8ssK5qXNKgoN1MvOeUwrW0pg+r+ry8PyQx6dYwbotIGda/PLRSnbKZ6ljFoEl9NHGeIY1m+/sLQ7Qun8kaGbr845bejyxr0MC0fuZxBHZjtRE7ZCvqWN2ik/A/OgJ78rwqGbg85+az+hlY0aH+hq4FLONX4opKB+bdBLfh/M1Y26ONcHkhxqva1ikEectmUc07T2zPzVOXylH+IUzYvhapxecoJKKcc3peobpC8rBOcal2sBpenPCFOdfiaXJ78a1c5w+S3tQxa93x209uc+fundqtfm8uTq8dDzuryP+oY9KQE/4uzEw8rWtc1SC6+RnOOduWZbD2D0sgL5ORS4wMYej7GebA1l3gDQ49rOOXZD25oUCtZEJyqHjYySBana2ND9xOcahzZxNDzas6dfLqBTQ0qqU7IIHl4ezOD5K8t4lT9TnODeqsbb1AKccG2MGgal8Y6TrXe1tIgtfzUEvW2laH7Mc6a8ga0NvS4ibOLPEAbg2T1OcY5TlaLtoYe73Oq29jOILUKzXlYFnt7Q68rcKpi6mBQG1nhONVldTRoqCowg3zkaXQySK87GqR+rbNBu1/KimmQWt/uYhDXEs+vnGpe+Z9Bb0vJ/zBI1uKBXQ2Sd+sPp1pX72aQQ90Ag2R1HNvdoMLyAD0MktVnMqdqv3saevzIWVI2KL24PBcfWzibU62P9+bylMvZnL1lB9KHy1NOezl51hCfri+Xp5xIcar5ST+D1DI2p+pH+nN5ymaKU40XBnB57vvU7wDnz2o80BhokFov51TriYO4PIP5SJxydb7CYAPjDy7Px98Tqg3h8pTdDqfqz4ZyefKfuc9ZXQ5jhhkkf/yUUzbXTYcbep7OuWs+D3BGGHp+xLls+aVaHUcaup/nVMvJoww9PuK8LZfXRhvUUi6ocar+fgzXzzM3biVxqsOMNUitt40z9HiLc0c6+Q+D5OrqVM7LtfhMJhho1w2KHiH/ApcnD8cWcqZs51+YxOXJw+blk9DeTuby7McTQc4CcmFuikFyWWQzZ011YC7POzxw51TDj2lcnjxsPsA5drEcsBgki+MY5wq+zDIzuDxlA8wpf7vCTC5P/nOXONX4fxbaZ045vKkz29DjHE7v8ed+N5pjkBxWPuXMuG+11XKuoceNnKXkBc3j+jmEf4GzseqgDYrZfGXIF07VDy/g+inXSTnVOHQh1095YM5NK+MfDFtkEM8mP/zjVMW72ND97RKDVHFwqnHtUkOve3DK0wpeZujxAOcqPkz4ckPPPziPZOATXWFQZfkPzvt1eCCy0iD+K3wmBsWO6vEp+yqDhssC51Tju9UGqecBnGodbI2hxyWcsjqVWmvQdfk4ilPe/nLrDNLr0oaet683yNVdPpkwSBZvrQ0GmfIGcm7h4miw0aAi6gQMvQ6zydDjI049nzb0+henGp9vMYgrY49PnLJW9tjK/ZAla6RB6vnHNoPUOj5nVVng2w093udU1XiHodfjdnI/JKsdp1rn3WXocS2nWm/abZC6rZzydoXu4X5I3gZOdTf3GqSKjXOgKiCD1GVyytPPup/7IXlanGr+dsDQh+G8yP9d6CD3Q/JEOblW8j8MUo+JOP8yMzpskFRzjjNUFTj3Q1wKVzhlNa5x1CBZPW8dhfNjBj2Wy+7H4Pw490N8+59z6udPcH4Czk9yPyQr2Ek4PwXnp+D8NJyfhvMzcH4Gzs/C+Tk4Pwfn5+H8PJxfgPMLcH4Rzi/C+SU4vwTnl+H8MpxfgfMrcH4Vzq/C+TU4vwbn1+H8OpzfgPMbcH4Tzm/C+S04vwXnt+H8NpzfgfM7cH4Xzu/C+T04vwfn9+H8Ppw/gPMHcP4Qzh/C+SM4fwTnj+H8CZw/gfOncP4Uzp/B+TM4fw7nz+H8BZy/gPOXcP4Szl/B+Ss4fw3nr+E8Cs6j4DwazqPh/A2cv4HzGDiPgfO3cP4Wzt/B+Ts4fw/n7+H8A5x/gPOPcP4Rzj/B+Sc4/wznn+H8C5x/gfOvcP4Nzr/BeSycx8L5dzj/DudxcB4H5/FwHg/nP+D8B5wnwHkCnP+E859w/gvOf8F5IpwnwvlvOP8N53/g/A+cJ8F5Epz/hfO/cJ4M58lwngLnKXD+D87/wXkqnKfCuYupnXMq566mds6pnLuZ2rm7qZ1zKucepnbOqZx7mto5p3LuZWrnnHr9wtTOOT/s54m6j0kDanxvs5JTPZ/0NWn2MP4kp3LuZ2rnnHo91NTOOZXzAFM751TOA03tnFM5T2Nq55zKeVpTO+dUzoNMrFuY2nmwqZ1zKuc2UzvnVM7tpnbOqZyHmNo5p3IeamrnnMp5mKmdcyrn4aZ2zqmcR5iYP5vaOadepzK1c051WoapnXMq56apnXMq55apnXMq505TO+dUztOZ2jmncp7e1M45lfMMpnbOqZxnNLVzTuU8k6mdc6p13P+Z2jlna/kgJrOpnXMq51lM7ZxTOc9qauecynk2UzvnVM6zm9o5p3Kew9TOOZXznKZ2zqmc5+LybLB8xG/OQl/8Zg/LbeL5mqmdc+rntqZ2zqmc5zO1c051u/Kb2jmnmvcX4PJ81KLKUk7lvKCpnXOq0y9k6ud5nMp5YS5PuQ+Fc2Fyuyt5i5jaOeeenPzRoqZ2zqmcF+PylI9dOZXz4qZ+jsXpKv9wCZNm1qnU6xqnXN6vVdLU6/KcReTCZimT1PInZ13+WLPSXJ4v+Iuzm4RUxqTfAcfcYjgnMrfOgsuz1OKsnzjV9hXi8pQf5FTP78uaVGVpvT6/OB/KbRXlTGp/Je/CZE61jlyey1MesAKXp4TJqZ7HV+TylA+QOdU6YiUT645wXtmk5hb/5cpwXgXOq8B5VTjnlB/LWs3U67icxcpFnshd3SS1nYizvtz4VMOk1z5c0JxqH05NLs+i/EFOtS5ci8tTPkDmVOtWtU3KJ28I54ncfMF1TP0cnlM9f6prkto+xClvR5N6Jo3mYn7GGSgLpr5JsliiOLPJ7QcNTL2uyClPr1tDk27zn/3G2VIWYCNuN/ljCZyD5FdjbjflRgpOtf2riUny8bZLU2435f4VzhLyQpqZpPbtcKr1zebcbhbkCs2p10tNSuFqtZBzahJfcEtTr29zbuDbm66VSWofE6d6nt/aJFnMmznV88I2pn6uzqnWy9tyu8mXsZ9T7fNoZ5L8s8c41T6s9txu8sfOtIfzDtxuPtvb6FIHOO/I7SZzu8E5VBZ0J2435YVwcuntbdTZJFmdn3Du4mraogu3m7LCcMpq1e4/bjflBXOq7ShdTVL72jhT+bb16sbtptw/xCmLeUB3OO8O5z243ZTbtjjV86+e3G7y6Xn04nZT3mBOtU2ut6nX/Tn1erNJ8vHA/D5w3hfOOSUjqx+3m8xjNad6jtAfzjmHywo9AM4HwPlAk2R12TsQzgeZ+rkEp7xtpQbDOafaTjMEzofA+VA4Hwrnw+B8GJwPh/PhcD4CzkfA+Ug4Hwnno+B8FJyPhvPRcD4GzsfA+Vg4Hwvn4+B8PJyPh/MJcD4BzifC+UQ4nwTnk+B8MpxPhvMpcD4FzqfC+VQ4nwbn0+B8OpxPh/MZcD4DzmfC+Uw4nwXns+B8NpzPhvM5cD4HzufC+Vw4nwfn8+B8PpzPh/MFcL4AzhfC+UI4XwTni+B8MZwvgfMlcL4UzpfC+TI4Xwbny+F8OZyvgPMVcL4SzlfC+So4XwXnq+F8NZyvgXPO1yfTLC+4lstTbmjllMvSxdfB+To4Xw/n6+F8A5xvgPONcL4RzjfB+SY43wznm+F8C5xvgfOtcL4VzrfB+TY43w7n2+F8B5zvgPOdcL4LznfB+W443w3ne+B8D5zvhfO9cL4PzvfB+X443w/nB+D8AJwfhPODcH4Izg/B+WE4PwznR+D8CJwfhfOjcH4Mzo/B+XE4Pw7nJ+D8BJyfhPOTcH4Kzk/B+Wk4Pw3nZ+D8DJyfhfOzcH4Ozs/D+Xk4vwDnF+D8IpxfhPNLcH4Jzi/D+WU4vwLnV+D8KpxfhfNrcH4Nzq/D+XU4vwHnN+D8JpzfhPNbcH4Lzm/D+W04vwPnd+D8LpzfhfN7cM75+2yHrW3uc3k2u3f8Dac9vuytTg+4PKfsjvrIqbY9PuTyPDzD6zun3gcD54/g/DGcPzFJbRN/AudP4fwpnD+D82dw/hzOn8P5Czh/Aecv4ZxT7dd4xeWpHpCbpLYNv+bylBfwGs6j4DwK/Xk0+vNo9Odv4PwNnMfAeQycv4Xzt3D+Ds7fwfl7OH8P5x/g/AOcf4Tzj3D+Cc4/wflnOP8M51/g/Aucf4Xzr3D+Dc5j4TwWzr/D+Xc4j4PzODiPh3POcHnDfsD5DzhPgPMEOP8J5z/h/Bec/4LzRDhPhPPfcP4bzv/A+R84T4LzJDj/a+rnmpz6eS+X56QJze4lw3kKnHPq/c6m3gfBqd47SIVzTr1vytLOOafzd71cLYrs98gWz6n3Q1pUSG6U4DxTPFO1Ye4WqcNyPuePj/Gw6D8ZnpZ+ns8pd4H6eVkUfOko13SLVrbKfi3I26Kc8gOcR7j6h/lY+vk3p9p+5GuR2m/Oqfbl+FmktpNy+hp8BH+LFu4N6LOdM5PcaBpg0Z6ojwv2cpaRBRJo0bUg/oOcav9RGks/h+eUl1M2rUXyNC9wzuQ/XyXIIkOdmEXy47WCLb0/hFPtV7dZpHhyvpzHBWy3qJu8AE7lPMTSzjmV81BLO+dUzsMs7ZxTOQ+3SG4T/8XZXj4wjrD0/lhO5TzSIn9ZIA6LFnMxTuBUxWNYel8eJ8nLMS2SpzmHU+/bsugDH3YRp/q40yIZKzmV83SWds6pnKe3tHPOC7PkByyS28x2c6r+PKOl+3NO1Z9nsmgyV6/jnKHyQP+z9L4ZTv0eikUn+CyucKr9v1ksksV9i1O/j2CRagY51XPybJbe18ep9t1mt/S+Uc4DfNgOOSwqxx9/zymja06LWv4rn/SV8xPf7T65LFL7xzk91QVYNLcFf4BTbr8dkcciVa3zWlRCVRSLVDXMZ+n9dJzRstrkt0hWh1mcej+BRVP59i3gVM4LWqq4l3OqfYOFLDolhzuc6rILW6S2FXGq/f9FLJJ/fienOmxRi9Lyx/dzqihmUXZZQTkPcateuriln+NzSk7lS1jUWn6AU+1PKmlp55zKeSlLO+dU+4xLW6S6B07lvIyFfWOWdi4sigmRN8zSzskiWYyfCc7LwnlZOC8H5+XgvDycl4fzCnBeEc4rwnklOK8E55XhvDKcV4HzKnBeFc6rwnk1OK8G59XhvDqc14DzGnBeE85rwnktOK8F57XhvDac14HzOnBeF87rwnk9OK8H5/XhvD6cN4DzBnDeEM4bwnkjOG8E543hvDGcN4HzJnDeFM6bwXkzOG8O583hvAWct4DzlnDeEs5bwXkrOG8N563hvA2ct4HztnDeFs7bwXk7OG8P5+3hvAOcd4DzjnDeEc47wXknOO8M553hvAucd4Hz/+D8PzjvCudd4bwbnHeD8+5w3h3Oe8B5DzjvCee9LOwHtLBfCc57w3kfOO8D533hvC+c94PzfnDeH877w/kAOB8A5wPhfCCcD4LzQXA+GM4Hw/kQOB8C50PhfCicD4PzYXA+HM6Hw/kIOB8B5yPhfCScj4LzUXA+Gs5Hw/kYOB8D52PhfCycj4PzcXA+Hs4nwPkEOJ8I5xPhfBKcT4LzyXA+Gc6nwPkUOJ8K51PhfBqcT4Pz6XA+Hc5nwPkMOJ8J5zPhfBacz4Lz2XA+G87nwPkcOJ8L53PhfB6cz4Pz+XA+H84XwPkCOF8I5wvhfBGcL4LzxXC+GM6XwPlSOF8K58vgfBmcL4fz5XC+As5XwPlKOF8J56vgnFO9VrnaIrktdiPnwi4HI7Kv4fKUb4Nyqvdo1lp6vzynej9unaX3mXG++1lzUsn1cM4pf63sBjjfAOcb4XwjnG+C801wvhnON8P5FjjfAudb4XwrnG+D821wvh3Ot8P5DjjfAec74XwX+vNdcL4bznfD+R443wPne+F8L5zvg/N9cL4fzvfD+QE451T7Iw/COad6L/MQnB+C88Pcbsr34DgnlfQYVvwIt5tywyDn2q5Rq8RROD8K58e4PPPnfnSZU25Trn7cog7yxbzjcH4Czk/A+Uk4Pwnnp+D8FJyfhvPTcH6Gy1O+JnkGzs/C+Vk4Pwfn5+D8PJxfgPMLcH4Rzi/C+SU455RvMdsuwznnevka4BWL5GUtuwLnV7k8+TTWcKr3kq9xuylfKOFMkK8pX+d282jPojs508iCvcHlKd/vvAHnNy1S789xqvdlb3G7Kd+T5JTVtvxtLs+Bb65e5BwiD3DHIvk273XO+Vwt6tzl8pQvzHCq98bucXnKF5A5r3Cxt7jP5VmQBXCqfeIPuDzbFR73lvPfH76hDy39/gtnpHyN7xGXJx8+jlP+Wv/Hlt53zllL3vgnln5vgfM/eeJPuTyZlcczLs+3DIwzeATf6eeWfu+Kk5VNCHph0eHyfIGcleQBXlp6vymnel/zFZfnGq5Ir+D8NZy/hvMoOI+C82g4j4bzN3D+Bs5juN3kw5+MgfO3Fslvz3Oq98becbv5mQuWs7A88ffcbjr4PzjVvtwPFqnXkzm7cfVu9tHS+3451fuWn7jdlAfgVPtPP1t6Pz7nMb7d3b9wuylvFKd6n+mrRbLYf3J+l9v4v3G7KUF8Q38eC+ffud2UBcaptgfHWXjPgNtN/rU08ZZ+vZ7zQ3o+8g9uN2XBcsq3hBwJFs16z//BaY3if/3k8VEY3+mfcP6Lx0cV+Qb8gvNEi2Q1282p3jP5Dee/4fwPnP+B8yRLv6fIeYKLs+JfOP8L58lwzqneV0/hdlOeEKc8fJN/ln5fi1N+2yrVItbTNYqznCxYFyfdMvk3OCWrrq5O7ZxTvffg5iT1fj2nei/b3Unp5AVyymo2wsNJsvq4eDrpknw9mlO9R+HlJHkbp3D2kgXh7SRZ7LM4lXMfJ4VLEJzKua9TO+c8xafr9HNq55zKub9TO+dUzgOc2jmnch7o1M45JauiaZzaOadyntapnXMq50FO7ZxTOQ92auecyrnNqZ1zKud2p3bOqZyHOLVzTuU81KmdcyrnYU7tnFM5D3dq55zKeYRTO+dUziOd2jmncu5waueGUzvnVM5Np3bOqZxbTu2cUzl3OrVzTuU8nVM751TO0zu1c07lPINTO+dUzjM6tXNO5TyTUzvnVM7/59TOOZXzzE7tnFM5z+LUzjmV86xO7ZxTOc/m1M45lfPsTu2cUznP4dTOOfU+c6d2zqmc53Jq55zKeW6nds6pnOdxauecynlep3aez6mdcyrn+Z3aOadyXsCpnXMq5wWd2jmncl7IqZ1zKueFndo5p37fwamdcyrnRZ3aOadyXsypnXMq58Wd2jmncl7CqZ1zKuclndo5p3Jeisuz+KwVVzmV89JO7ZxTOS/j1M45lXPh1M45lXOCc4LzsnBeFs7LwXk5OC8P5+XhvAKcV4TzinBeCc4rwXllOK8M51XgvAqcV4XzqnBeDc6rwXl1OK8O5zXgvAac14TzmnBeC85rwXltOK8N53XgvA6c14XzunBeD87rwXl9OK8P5w3gvAGcN4TzhnDeCM4bwXljOG8M503gvAmcN4XzpnDeDM6bw3lzOG8B5y3gvCWct4TzVnDeCs5bw3lrOG8D523gvC2ct4XzdnDeDs7bw3l7OO8A5x3gvCOcd4TzTnDO+X8vi/D4</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>eJzt0r8rxHEcx/EbLErHYLWwGIRSBtPZJJP8ATfpBqu6QTo6XOpyHPLj6A5xTMeAciGRiWTQTbosVoVOFvJ5fT7qM8v2fCzP3t/79vl8vt0nEAAAAMCflSZCpi+zIX+OqrFpf64bUY/H/bl9Rm0es7XrhVP+726fnrh6N+zv457/7mvfzybVyJT6kfCfu/fqM3bOqcVle945f3bni6/4c2ZRfdpUu7b9uvUHNvxurdl1cv66kXV1cEdtydtz7KpLR2q0aOdr01CubFq+fTdN9Fd1/zRfGzSdX2gwfextM92f7DQ9SHaYngYbTRNvNablQsWsE3t91j5fWj9UKWluulcfbvRe66Xmq3M1rcaqLzR/nqmjJ+rQobpnvyNdUFP2e8NZtW/VzvZeuHvk7o27f+5/BgAAAAAAAAAAAAAAAAAAAAAAAAAAAP7JN2Myeps=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=89.024 Q3=89.024 sample=42 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="13932">
              <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="572">
              <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=42 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="13932">
              <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>eJzt0U0rRFEYwPERyUeYlSZJs7CYZI/ic7CUlMlqmsg1xnjLOyPlpZGSEmEoC3UXs1AkCwtlr/gCLNV5nmfxzCeQ/r/Nv3vvueeec24iAQAA/oTOzd7Q9h1pfCh92pVm96TJfemLjpso+/eyi9L0tjTa0vlWpalJ38y6Xi/ovHM6T16aK/n3ixv+O6/H0ucTafOVtOtSOnIhrZ358bbu+nWmZ6VvM35dyWW/7/k1f23rjqd0X9M6ruDv274SA/rdcX0+ph30tXmtdh52DjX9H8UjaeFa2nYnPb3R9ei5JM+leT2vUsXPZ/t6WPK18xle8ffrz8vOycbZf7N57bxHD/z3I/0vHbqu9K20/z40an2UVt9D456v0KHGn9Bcd0NfuF9tCm2J5Trz8R2ep8qfMh8AAAAAAAAAAAAAAAAAAAAAAAAAAACAf+UXP0Z8jw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=103.040 Q3=56.910 sample=42 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="13932">
              <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="336">
              <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>eJzt0a9qw1AYh+Fcwm6gUDnZS4iIqZ8eERWtGQxixmCEsZbKsbqpwFTLRF1hqtDJDTYzk4mw+praikJ++QI5NIS6wt7HvJx/zUnqeQCA/+vCPzwfOPN1+5rOHfv8uvPFPv9SbUdFH9T+s3o+VSdveeP0Q+PxT95wm2n8+Zd3uVpX5uNVmtc/+9a+7rvaWqibV/XrRZ0l6u5R/X1Ss3s1HKrJqLjvTfU9Onfq/PbwervnvK+NB9Wx7U+uVftetm7f1dbtvPtdy/8jqNb2u+fLe0fOve1+V8Xv1Gh6brkOAAAAAAAAAAAAAAAAAAAAAAAAAAAAADhVe1DwSIM=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=103.040 Q3=56.900 sample=42 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="13932">
              <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>eJwt22VAFU0bBmC6UTiHPLt7rM/ubuexu7s7Xru7u7u7u7u7u7tA7EAQRRHke2bm5s8teFh2Z+ea2tkyed3q7D1bTYx5teRNbFwLsfNx64G1nZ3EsjPxSRvP9RAVHpwVo/b3FUerBrjlnDRQ7BsWv7tOt6Eix/eS/ZJLjxTUbEqnaXPGilzGuSkPAiaKRiN2Hmw3agqON108XF1ucpkCs0UN9YM5OM5Ckd1WvGtf5zKx6GnHu0cOrBInl38ZEjx6rchXY6NfpcwbRPjcjQ2Wj9gsnvzI6JI553ZR42uBj8+f7hL/q7ml2N/ve8TVxrEte//YJ7bvkCd8UMxwP9t2+LbDYuGMqPNdvY6JUifqLcww84To8yuq4Be/08Le9ty9nB3PiAPX1vfrduqsaFxkon1b5HnxZ3XnfZ/6XRDL/KvWz3Hzoig9MMeP/7JdFq9e+8/bMvaKGFNd/uGrItPBm3ezFb0uLqTf3bfLnBui87Q5ts2fbwqPYcX5FG+LhvlybLHfvi02vnUMKTjijkhcKg94V9R7UTV/7kd3xbq5JVxrjr+Hcrsvjj6dmtIx8b6oduHJpFu7H4g7GZ/9Gdn1oWgbmGP8h0yPRHzi4DT1XjwSY6MvLT628LGw3wjLlLnOE7HuUMcdM32fihyhndOVOfdUHE09sGXT8Gei+iePQsFFnos7lb02no59LtoWkGf0QsSb64/Oa/dSDB66IVd585Xw7ZhwcPuDV+LGpjXpp1V+LbLEjFt5Y+trkdRUBBVMEyVu3koas7hPlMga8CL16f0oMbrKqRFWsWjxZPyav62XRYsCZ8YNWfsvWkzjs49p+0bEFK8yIOuFN6LC7kXzSueNEdm/Bp7MtyRGTG7f8nkl97eix+p7XiV6vEU5vBV76y+pXb7sO7FodtqhRba9E4lerRfXCH0vnpWXFe29KHn0f1ENP74X6VUBfhCje3zK3vrEB9Fxa5sG9bJ+FNXePxxZcc5HkfNO9/z13D6JuWOyc4l+En/yv9uZOeaTaB29tkfahp/Fxbmtc/258FnkLm9+ji7yRcz78XjL9U1fRNK6BV0ORnwVbfloq6d8FZc80r6bkvRV5FEV45uYy3d14Jtv4mev8QWGNo8VUe86p9D1WPGmecXuKzJ/F4uzfnrl0/G7+Ccvf813ca4Dn9jd76LYnqUs5rtYWOlIhn3p40TY32vfrpSPEwt2vTz2ulOciHDN1rTtjDjRrvHo5912xul6eytOLP9YvcX+r3FieuZTTeL948VwdePihW3c6atrKsaL2PWLF3brEC+uXezdrvC4eLHpQ5U8qWvixTi/DEmXT8eLNnyVc1/Fi1K17sxp8S9eRPTe0jKL9UMkzJEF80Pc3tf055FmP8SOB/n5zv3Affwhzt5O2VXzxA+RvCXubs3oH2Lwu9/DSnkniD2nvqwslStBfF78+kypugmi84P3XXMOTBCrdz6bkXNZgpCl6TidIBqdf9jU8TZBzFpxdbjD76c4VqPEoV85f4oNfLoxNX/qetjrpwjZWTlq6PyfoknIFLPwkZ9i2VCW++Kn+LXoxbxJnr/Ew2Hhz5Nz/RJBXBvKNP4lvEPL8an/EuMG9q96dtsvMTR49NzQh7/E/rSr2jZ2SRSqeuVI1PWzQaJo45d80xyVKJps8OZLTxRz1mV5v+deori2puLBHymJwmN1hwmFs/0WZVaOazCo3m8xePnaTEeG/xbv7tWZfWHdb7G4pyzp36Kq7/0Bx+J+o378EXwyzfeIP8I9plW/DP/9EeUTTxX5Of8Pyv2P8BqzoPy0L3/ER1evFl3Dk4SsRUXLJYlBuTOkS+ieJCaO+tcl89IkEbnY7VTBS0mia80fM+snJIljbvKAf0XA4ft55tX6K1r2uPBv77C/YmdGbmA2/xWpjzaujH/wV9SZsainzT1ZrJHNZ75kUaj59PnUMllMCBrRoc3UZPHwQo9Cow8li6zDWnmsjkkWg/PVvn8qOEX4bDebdSiZgnqaIrKpBiNFbIvMtavX0RSRZ/bq3/nfpYg9XlzQwf/E6+XBG06U/Qf3/1Cv/+n7f+efmPt9a4KLe6pY7/Hp6ItiqeJgRPYxR3umimqNmozzW5Oqnd5LFc0cbyded3OhDdFfznWOcCH/p3cy++Z1oZvtNxVYVcmF5nwdLgq3cqGGg+rVuDbAhbQHFypmfQv6ssGFDk3aOmHUSReaN77xBu/HLqTaxe8u5MbFu8jXlY5UelmjdUZX6jOpTd6sJV1p05BL2UvUcyXVTHR1pSrHa3fpPtaVuNEf0GeZK+l+y5VqGx/2j7npSk1Vw+pKx18zaBc3GrSkf8+v4W50z13eCTfK23Od6/GKbvQxS36f7S3caF2mI8mT+rsRd4ZhXWe4UbVh4/LW2OhGrHRa5lNu9D2sSp3kx26UUJlbojg3auifmnzHz50qZqxc82Ymd9L3wZ2uFY7vlFTPnWaeutRvdld3Us3kWHdS3e5Sd9rZPSBro33udHPy3Zevr7mTrIZ93rrT29vcIfxzp/TmxUNTIzyoeef/5hsFPKhoh7D966p70K2yW0tm7+RBshfYOdqD+K9XK7TMg3R/6kF5D/9pKm570FIfY2Wrjx4ke9UBbp7U4OTQ2LGGJ6n+s6AnqeayuifJ3jGynSdVYjX3B3tS1vd76i+Z5UmrSuW6v3SjJ8la3eiEJ3Epedrue5LqNz55kvLq6kVTEn1n1Izwoi7duWXJ60Xyry2t4kX/e5m1UJG2XrRm+suFB4Z60Ygp0w6Wnu9FTScWe3hhhxc9KhRbrOIlL9qXf3mTG6+9KI/q4L3oW2EeAYR4U5ysfnm8yWjgc6dyJW+qmGKsmd7Km3ptzNvnzkBvGpW+kxk005tm8OFLbPSmlSH3+s447k3cGZY6cdebup1aWyXmgzet48v0T/Wmpwa3sKE+ZLv6oUfTnD705W2HW9PIh/wl6wY+1NV9RZHb//nQlbdi/auRPpTtcnRw7Dwf4s5id9QW/PykD6nu8Z4PqX7lvQ/J2/Q4yYcmxe3IeDCNL6l+N6MvJZfmhqeoL20OWjsroIYvNXizYdn5Nr6oX74U1/56y+qTfSljyq8Br5f70i/3/G9G7/alK37d6mQ470tR+U42PP/Ql1T79tGXel1rZtmTffF3/GhVOEPK4Eeh06vxCMCPcu9dEbupkh9lzS9roB9l8d1VLW1vP/LbO/j83/F+xI1ZtQtL/OjUx96T2uzCz8/7UWLOqRVmPvWjt23XPCwU60ey9b3r7k8fKrpUaxThT8k/uKLn8ifVDpO/vv76/nT+d6Pg5p399fUP9ad7UWnOtJrpT9zalHi+xp/UuOSgP229zgOOa/6k2o0of33/fvnTgxV8wwID6JkcDv0vgFR/XzqAMtd59PViwwDqHnMjIXPPAFKnPzGAlp48X/HZygAq/XZbYp7DATT2BA8c7wRQeCb5GwH0fdPF6kV9A+lyri6VF/0vkJ7y6ConBdK+gD7bpzUPJDVsGxhIhwweAc4LJNnbZN8dSDeuy69A+iMv52Mg9Wy6rf1Y7zQ0PrD2rvmZ05AslWIV09DZ8Cz1Pdunoegm4YfujE5DHo3ScJGnIf7purlH0xC3ChH9HqUh3d6nIXVbgtPSbvf307PlTktyVDS4eloK5NN51iUtsaYQMTEtdVs6aPnadWmpjGoY0lLQ+enuZ6PSkvqYSxA9blFlab3gIOrJrT5lDKL7MaUG5igYRGqcXj6ICsiOp0EQyeFFng5B2ln/IOovAYwP0uczP4hON09fNm5dEG04cSY8y74gmpqu/bdmZ4NIjePvBBEPPt3rvw6iKwNPrnLEBlGgZ9NS0SlBVE9W9IBg3b4awfRsVzZb8RzBtHNO0XuLigVTqwXONqcrBtPLPlNnxtQLJtX8tQ6manLg0C2YIqqP3BMzKJjUMHp8MKnh1+xgGiuHb8v592QzsTmYZDNabX8wFZcd3Olg6sSjXef1YPQLwbSLhyHGm2DdfnwNpg6yQH8H08ri/5y3XG2kmkl/G7VduXlUphAbNb93/E2IZaPMPKp0zWLT/UEeG1XNk5ohpYiN+nWRPZNN3+/KNlrSh4pNr22j+e2a7ZzT2Eaz83PBtrbRdJf523d3slGTzYVvlOxp0/VzgI22jMo0/84wm67vY2zEd2ds9CQbefDt/jrDRpPCntxMnGejZ86tYf+W2EjNc1bbqOz1YunNjTZacN+3S8btNpKTm2x7bdSDu4OCh22kpgknbVRBfp23UeyVc+V2XOHz49Fz2C2b7t/u2+hbs3JlPjzhn8vh2isble9UtuTRGP7559PFM33C9cTyz+X4JYF/LrvhJBupYUkq/1wOLzzt9FtON3zttOM/voNp7KTG1XY7Ve77J+3HcDsNkRdu2OmZ7F7S2SlQTugy2Unwb4/MaqfVgitQTjvdzcwNTl47echutaCdinD3Zytqp0Wps0f+LWHX7WcZO8nh8blydmrxJKLW9kp23T9Ws9PpDQOX9K/F3+fkCWVDO+XiZmlpCzvJ5npbezup8VpXPu6NkrXu9LETV9ZB7wbbac0e3/KJo/h8eBbjM8lOL3rykWfaaZvsPhbYSc7uyiy3U72qK0ZnWWvX9WQbH79jZHSTQ3b63oYrzDk7HWiRqdfGW7jeZzi/d3btI85OP/aNTN8p2a77Le8QmpGNR6RBIdRPFrwjhLLLDjpTCL3K0e5zrtwhJFlsKBJCNWwshEL0eKZqCMnuOah+CPX82jhkSosQkt2bV6cQUsPZXiF0JvZ6XOLgEBr05urF3mNDKPejy8s+Tgsh+W27BSG6HFeG0KgnpflUQ3R57AmhL3zbqx0LobX7i/4+ez6EJsvm72YI8SjB5cijEJKzv/xRIbRtK399CtFOEkJIzbdTQujGhPXZQ71DaTzP8mYEhZLi5Ail9JMjvcdnCiU9Xg+l6b1C9wwoEkrl2tsnfhOhut2sGkrc2+R7XS+UFnTkGWCLUKouoXYMJZ78BtbuFUqHmcelwaG6HRsbSv/LNnL6kWmhul9eEEqneZS9a2UoqWn45lDK7Ywrs2ZPKL0JjrU7joXSEs+vH+aeD6Xafz6d8L8ZSl787fhHoXpc9zqU5PBj19dQsuS0NykU1xNGIztzDbOHUd6qgxsOTR+G+xNGswO4IhcPIzXgqBRGcbfS7ahQP0zXp9Zhut3rHkZuA7hGDQmjfY14xjgxjNrLCd/cMHobn+5ur1VhcBymx0+Hw0jNby6E6XHq3TDi2cSpLy/D4DGMZLeczyWchn5p8O5eUDjJWe6gDOEY54Xr864crvv7FuEULL/6hFNlHgZHjw2n4dsm79g3P5zG1eUKvTFc99OHw0kNc8+F07P79U8OvRVODZeP+B3wLFyPw9+FUxU5cY4Pp7NyeSclnNR82zeCDoypZXwIiUD5ROjxSq4Ikqs9S4tGUHe1gBBB7+Twp1YEtfa+GVm3WQRx61b/TccIqq86hgji0cxl7xERevw3OYJOy+nk/Agqvv8y9ygRpNaPtkWQmpcfjNDj0rMRlP5uLz5kBC1dwl9PIkit17yN0L6+R5C3GnBHUN3ZFzK99I7U41d7JFVIxzOsdJF08l25u/NzRFJROaAuEkl7BvBMvGwk5Sx9enT1mpGk5i9NIsl53f6zV4dIWszDcLfekRQsC3xYJE3LyDPHSZHkyR87PDeSuLcKr74yUreLWyKpL9+2Xgci6bN3u4uuZyKp461pLvOvR5Js9jM8jtTu30QSq6lTKTaS6qZWyrYuMZLuPOYJd2okcafuaODjIPlr24McVLtjmUDPSAfdLDN8YssMDqoVcTT1QHYHydGDrYCDhsuCL+FAO+kgtXxT3UFJI7se71/fodun5g5S6x4dHDTYnyV1d5CaF/d30MOAhY+KjnBQQznRneAgnhxe/TDDQQ1kB7LQQXKUvGSlg3g2Vjh+o0P73OWgMVnOTtx0yEEu8uu0Q7cvlx2Uupdv3G0HsdZuvk8clHtG3/Kdohy0vdPu4yc/OiiXBBTvoM8n/HuO/OWgp+24xJMcul9KdVCTVq/6H3Y3iFuP7el8DFLz5wCD5Ow3PsigCcNv72saalCFpK+fT0caVHDVxLG5nAbG0Qap5ZUsBvoZg1jLmRt5DXKWXPCnUCGDtt/liRynXFUsWdigi648cuZU11vE0ONozp5yYFjUoOTWy4Ze5VTzlmIGhc0avOo25/osPPEpblB+OezmlNG0hEFq/ZFzS8ssK5qXNKgoN1MvOeUwrW0pg+r+ry8PyQx6dYwbotIGda/PLRSnbKZ6ljFoEl9NHGeIY1m+/sLQ7Qun8kaGbr845bejyxr0MC0fuZxBHZjtRE7ZCvqWN2ik/A/OgJ78rwqGbg85+az+hlY0aH+hq4FLONX4opKB+bdBLfh/M1Y26ONcHkhxqva1ikEectmUc07T2zPzVOXylH+IUzYvhapxecoJKKcc3peobpC8rBOcal2sBpenPCFOdfiaXJ78a1c5w+S3tQxa93x209uc+fundqtfm8uTq8dDzuryP+oY9KQE/4uzEw8rWtc1SC6+RnOOduWZbD2D0sgL5ORS4wMYej7GebA1l3gDQ49rOOXZD25oUCtZEJyqHjYySBana2ND9xOcahzZxNDzas6dfLqBTQ0qqU7IIHl4ezOD5K8t4lT9TnODeqsbb1AKccG2MGgal8Y6TrXe1tIgtfzUEvW2laH7Mc6a8ga0NvS4ibOLPEAbg2T1OcY5TlaLtoYe73Oq29jOILUKzXlYFnt7Q68rcKpi6mBQG1nhONVldTRoqCowg3zkaXQySK87GqR+rbNBu1/KimmQWt/uYhDXEs+vnGpe+Z9Bb0vJ/zBI1uKBXQ2Sd+sPp1pX72aQQ90Ag2R1HNvdoMLyAD0MktVnMqdqv3saevzIWVI2KL24PBcfWzibU62P9+bylMvZnL1lB9KHy1NOezl51hCfri+Xp5xIcar5ST+D1DI2p+pH+nN5ymaKU40XBnB57vvU7wDnz2o80BhokFov51TriYO4PIP5SJxydb7CYAPjDy7Px98Tqg3h8pTdDqfqz4ZyefKfuc9ZXQ5jhhkkf/yUUzbXTYcbep7OuWs+D3BGGHp+xLls+aVaHUcaup/nVMvJoww9PuK8LZfXRhvUUi6ocar+fgzXzzM3biVxqsOMNUitt40z9HiLc0c6+Q+D5OrqVM7LtfhMJhho1w2KHiH/ApcnD8cWcqZs51+YxOXJw+blk9DeTuby7McTQc4CcmFuikFyWWQzZ011YC7POzxw51TDj2lcnjxsPsA5drEcsBgki+MY5wq+zDIzuDxlA8wpf7vCTC5P/nOXONX4fxbaZ045vKkz29DjHE7v8ed+N5pjkBxWPuXMuG+11XKuoceNnKXkBc3j+jmEf4GzseqgDYrZfGXIF07VDy/g+inXSTnVOHQh1095YM5NK+MfDFtkEM8mP/zjVMW72ND97RKDVHFwqnHtUkOve3DK0wpeZujxAOcqPkz4ckPPPziPZOATXWFQZfkPzvt1eCCy0iD+K3wmBsWO6vEp+yqDhssC51Tju9UGqecBnGodbI2hxyWcsjqVWmvQdfk4ilPe/nLrDNLr0oaet683yNVdPpkwSBZvrQ0GmfIGcm7h4miw0aAi6gQMvQ6zydDjI049nzb0+henGp9vMYgrY49PnLJW9tjK/ZAla6RB6vnHNoPUOj5nVVng2w093udU1XiHodfjdnI/JKsdp1rn3WXocS2nWm/abZC6rZzydoXu4X5I3gZOdTf3GqSKjXOgKiCD1GVyytPPup/7IXlanGr+dsDQh+G8yP9d6CD3Q/JEOblW8j8MUo+JOP8yMzpskFRzjjNUFTj3Q1wKVzhlNa5x1CBZPW8dhfNjBj2Wy+7H4Pw490N8+59z6udPcH4Czk9yPyQr2Ek4PwXnp+D8NJyfhvMzcH4Gzs/C+Tk4Pwfn5+H8PJxfgPMLcH4Rzi/C+SU4vwTnl+H8MpxfgfMrcH4Vzq/C+TU4vwbn1+H8OpzfgPMbcH4Tzm/C+S04vwXnt+H8NpzfgfM7cH4Xzu/C+T04vwfn9+H8Ppw/gPMHcP4Qzh/C+SM4fwTnj+H8CZw/gfOncP4Uzp/B+TM4fw7nz+H8BZy/gPOXcP4Szl/B+Ss4fw3nr+E8Cs6j4DwazqPh/A2cv4HzGDiPgfO3cP4Wzt/B+Ts4fw/n7+H8A5x/gPOPcP4Rzj/B+Sc4/wznn+H8C5x/gfOvcP4Nzr/BeSycx8L5dzj/DudxcB4H5/FwHg/nP+D8B5wnwHkCnP+E859w/gvOf8F5IpwnwvlvOP8N53/g/A+cJ8F5Epz/hfO/cJ4M58lwngLnKXD+D87/wXkqnKfCuYupnXMq566mds6pnLuZ2rm7qZ1zKucepnbOqZx7mto5p3LuZWrnnHr9wtTOOT/s54m6j0kDanxvs5JTPZ/0NWn2MP4kp3LuZ2rnnHo91NTOOZXzAFM751TOA03tnFM5T2Nq55zKeVpTO+dUzoNMrFuY2nmwqZ1zKuc2UzvnVM7tpnbOqZyHmNo5p3IeamrnnMp5mKmdcyrn4aZ2zqmcR5iYP5vaOadepzK1c051WoapnXMq56apnXMq55apnXMq505TO+dUztOZ2jmncp7e1M45lfMMpnbOqZxnNLVzTuU8k6mdc6p13P+Z2jlna/kgJrOpnXMq51lM7ZxTOc9qauecynk2UzvnVM6zm9o5p3Kew9TOOZXznKZ2zqmc5+LybLB8xG/OQl/8Zg/LbeL5mqmdc+rntqZ2zqmc5zO1c051u/Kb2jmnmvcX4PJ81KLKUk7lvKCpnXOq0y9k6ud5nMp5YS5PuQ+Fc2Fyuyt5i5jaOeeenPzRoqZ2zqmcF+PylI9dOZXz4qZ+jsXpKv9wCZNm1qnU6xqnXN6vVdLU6/KcReTCZimT1PInZ13+WLPSXJ4v+Iuzm4RUxqTfAcfcYjgnMrfOgsuz1OKsnzjV9hXi8pQf5FTP78uaVGVpvT6/OB/KbRXlTGp/Je/CZE61jlyey1MesAKXp4TJqZ7HV+TylA+QOdU6YiUT645wXtmk5hb/5cpwXgXOq8B5VTjnlB/LWs3U67icxcpFnshd3SS1nYizvtz4VMOk1z5c0JxqH05NLs+i/EFOtS5ci8tTPkDmVOtWtU3KJ28I54ncfMF1TP0cnlM9f6prkto+xClvR5N6Jo3mYn7GGSgLpr5JsliiOLPJ7QcNTL2uyClPr1tDk27zn/3G2VIWYCNuN/ljCZyD5FdjbjflRgpOtf2riUny8bZLU2435f4VzhLyQpqZpPbtcKr1zebcbhbkCs2p10tNSuFqtZBzahJfcEtTr29zbuDbm66VSWofE6d6nt/aJFnMmznV88I2pn6uzqnWy9tyu8mXsZ9T7fNoZ5L8s8c41T6s9txu8sfOtIfzDtxuPtvb6FIHOO/I7SZzu8E5VBZ0J2435YVwcuntbdTZJFmdn3Du4mraogu3m7LCcMpq1e4/bjflBXOq7ShdTVL72jhT+bb16sbtptw/xCmLeUB3OO8O5z243ZTbtjjV86+e3G7y6Xn04nZT3mBOtU2ut6nX/Tn1erNJ8vHA/D5w3hfOOSUjqx+3m8xjNad6jtAfzjmHywo9AM4HwPlAk2R12TsQzgeZ+rkEp7xtpQbDOafaTjMEzofA+VA4Hwrnw+B8GJwPh/PhcD4CzkfA+Ug4Hwnno+B8FJyPhvPRcD4GzsfA+Vg4Hwvn4+B8PJyPh/MJcD4BzifC+UQ4nwTnk+B8MpxPhvMpcD4FzqfC+VQ4nwbn0+B8OpxPh/MZcD4DzmfC+Uw4nwXns+B8NpzPhvM5cD4HzufC+Vw4nwfn8+B8PpzPh/MFcL4AzhfC+UI4XwTni+B8MZwvgfMlcL4UzpfC+TI4Xwbny+F8OZyvgPMVcL4SzlfC+So4XwXnq+F8NZyvgXPO1yfTLC+4lstTbmjllMvSxdfB+To4Xw/n6+F8A5xvgPONcL4RzjfB+SY43wznm+F8C5xvgfOtcL4VzrfB+TY43w7n2+F8B5zvgPOdcL4LznfB+W443w3ne+B8D5zvhfO9cL4PzvfB+X443w/nB+D8AJwfhPODcH4Izg/B+WE4PwznR+D8CJwfhfOjcH4Mzo/B+XE4Pw7nJ+D8BJyfhPOTcH4Kzk/B+Wk4Pw3nZ+D8DJyfhfOzcH4Ozs/D+Xk4vwDnF+D8IpxfhPNLcH4Jzi/D+WU4vwLnV+D8KpxfhfNrcH4Nzq/D+XU4vwHnN+D8JpzfhPNbcH4Lzm/D+W04vwPnd+D8LpzfhfN7cM75+2yHrW3uc3k2u3f8Dac9vuytTg+4PKfsjvrIqbY9PuTyPDzD6zun3gcD54/g/DGcPzFJbRN/AudP4fwpnD+D82dw/hzOn8P5Czh/Aecv4ZxT7dd4xeWpHpCbpLYNv+bylBfwGs6j4DwK/Xk0+vNo9Odv4PwNnMfAeQycv4Xzt3D+Ds7fwfl7OH8P5x/g/AOcf4Tzj3D+Cc4/wflnOP8M51/g/Aucf4Xzr3D+Dc5j4TwWzr/D+Xc4j4PzODiPh3POcHnDfsD5DzhPgPMEOP8J5z/h/Bec/4LzRDhPhPPfcP4bzv/A+R84T4LzJDj/a+rnmpz6eS+X56QJze4lw3kKnHPq/c6m3gfBqd47SIVzTr1vytLOOafzd71cLYrs98gWz6n3Q1pUSG6U4DxTPFO1Ye4WqcNyPuePj/Gw6D8ZnpZ+ns8pd4H6eVkUfOko13SLVrbKfi3I26Kc8gOcR7j6h/lY+vk3p9p+5GuR2m/Oqfbl+FmktpNy+hp8BH+LFu4N6LOdM5PcaBpg0Z6ojwv2cpaRBRJo0bUg/oOcav9RGks/h+eUl1M2rUXyNC9wzuQ/XyXIIkOdmEXy47WCLb0/hFPtV7dZpHhyvpzHBWy3qJu8AE7lPMTSzjmV81BLO+dUzsMs7ZxTOQ+3SG4T/8XZXj4wjrD0/lhO5TzSIn9ZIA6LFnMxTuBUxWNYel8eJ8nLMS2SpzmHU+/bsugDH3YRp/q40yIZKzmV83SWds6pnKe3tHPOC7PkByyS28x2c6r+PKOl+3NO1Z9nsmgyV6/jnKHyQP+z9L4ZTv0eikUn+CyucKr9v1ksksV9i1O/j2CRagY51XPybJbe18ep9t1mt/S+Uc4DfNgOOSwqxx9/zymja06LWv4rn/SV8xPf7T65LFL7xzk91QVYNLcFf4BTbr8dkcciVa3zWlRCVRSLVDXMZ+n9dJzRstrkt0hWh1mcej+BRVP59i3gVM4LWqq4l3OqfYOFLDolhzuc6rILW6S2FXGq/f9FLJJ/fienOmxRi9Lyx/dzqihmUXZZQTkPcateuriln+NzSk7lS1jUWn6AU+1PKmlp55zKeSlLO+dU+4xLW6S6B07lvIyFfWOWdi4sigmRN8zSzskiWYyfCc7LwnlZOC8H5+XgvDycl4fzCnBeEc4rwnklOK8E55XhvDKcV4HzKnBeFc6rwnk1OK8G59XhvDqc14DzGnBeE85rwnktOK8F57XhvDac14HzOnBeF87rwnk9OK8H5/XhvD6cN4DzBnDeEM4bwnkjOG8E543hvDGcN4HzJnDeFM6bwXkzOG8O583hvAWct4DzlnDeEs5bwXkrOG8N563hvA2ct4HztnDeFs7bwXk7OG8P5+3hvAOcd4DzjnDeEc47wXknOO8M553hvAucd4Hz/+D8PzjvCudd4bwbnHeD8+5w3h3Oe8B5DzjvCee9LOwHtLBfCc57w3kfOO8D533hvC+c94PzfnDeH877w/kAOB8A5wPhfCCcD4LzQXA+GM4Hw/kQOB8C50PhfCicD4PzYXA+HM6Hw/kIOB8B5yPhfCScj4LzUXA+Gs5Hw/kYOB8D52PhfCycj4PzcXA+Hs4nwPkEOJ8I5xPhfBKcT4LzyXA+Gc6nwPkUOJ8K51PhfBqcT4Pz6XA+Hc5nwPkMOJ8J5zPhfBacz4Lz2XA+G87nwPkcOJ8L53PhfB6cz4Pz+XA+H84XwPkCOF8I5wvhfBGcL4LzxXC+GM6XwPlSOF8K58vgfBmcL4fz5XC+As5XwPlKOF8J56vgnFO9VrnaIrktdiPnwi4HI7Kv4fKUb4Nyqvdo1lp6vzynej9unaX3mXG++1lzUsn1cM4pf63sBjjfAOcb4XwjnG+C801wvhnON8P5FjjfAudb4XwrnG+D821wvh3Ot8P5DjjfAec74XwX+vNdcL4bznfD+R443wPne+F8L5zvg/N9cL4fzvfD+QE451T7Iw/COad6L/MQnB+C88Pcbsr34DgnlfQYVvwIt5tywyDn2q5Rq8RROD8K58e4PPPnfnSZU25Trn7cog7yxbzjcH4Czk/A+Uk4Pwnnp+D8FJyfhvPTcH6Gy1O+JnkGzs/C+Vk4Pwfn5+D8PJxfgPMLcH4Rzi/C+SU455RvMdsuwznnevka4BWL5GUtuwLnV7k8+TTWcKr3kq9xuylfKOFMkK8pX+d282jPojs508iCvcHlKd/vvAHnNy1S789xqvdlb3G7Kd+T5JTVtvxtLs+Bb65e5BwiD3DHIvk273XO+Vwt6tzl8pQvzHCq98bucXnKF5A5r3Cxt7jP5VmQBXCqfeIPuDzbFR73lvPfH76hDy39/gtnpHyN7xGXJx8+jlP+Wv/Hlt53zllL3vgnln5vgfM/eeJPuTyZlcczLs+3DIwzeATf6eeWfu+Kk5VNCHph0eHyfIGcleQBXlp6vymnel/zFZfnGq5Ir+D8NZy/hvMoOI+C82g4j4bzN3D+Bs5juN3kw5+MgfO3Fslvz3Oq98becbv5mQuWs7A88ffcbjr4PzjVvtwPFqnXkzm7cfVu9tHS+3451fuWn7jdlAfgVPtPP1t6Pz7nMb7d3b9wuylvFKd6n+mrRbLYf3J+l9v4v3G7KUF8Q38eC+ffud2UBcaptgfHWXjPgNtN/rU08ZZ+vZ7zQ3o+8g9uN2XBcsq3hBwJFs16z//BaY3if/3k8VEY3+mfcP6Lx0cV+Qb8gvNEi2Q1282p3jP5Dee/4fwPnP+B8yRLv6fIeYKLs+JfOP8L58lwzqneV0/hdlOeEKc8fJN/ln5fi1N+2yrVItbTNYqznCxYFyfdMvk3OCWrrq5O7ZxTvffg5iT1fj2nei/b3Unp5AVyymo2wsNJsvq4eDrpknw9mlO9R+HlJHkbp3D2kgXh7SRZ7LM4lXMfJ4VLEJzKua9TO+c8xafr9HNq55zKub9TO+dUzgOc2jmnch7o1M45JauiaZzaOadyntapnXMq50FO7ZxTOQ92auecyrnNqZ1zKud2p3bOqZyHOLVzTuU81KmdcyrnYU7tnFM5D3dq55zKeYRTO+dUziOd2jmncu5waueGUzvnVM5Np3bOqZxbTu2cUzl3OrVzTuU8nVM751TO0zu1c07lPINTO+dUzjM6tXNO5TyTUzvnVM7/59TOOZXzzE7tnFM5z+LUzjmV86xO7ZxTOc/m1M45lfPsTu2cUznP4dTOOfU+c6d2zqmc53Jq55zKeW6nds6pnOdxauecynlep3aez6mdcyrn+Z3aOadyXsCpnXMq5wWd2jmncl7IqZ1zKueFndo5p37fwamdcyrnRZ3aOadyXsypnXMq58Wd2jmncl7CqZ1zKuclndo5p3Jeisuz+KwVVzmV89JO7ZxTOS/j1M45lXPh1M45lXOCc4LzsnBeFs7LwXk5OC8P5+XhvAKcV4TzinBeCc4rwXllOK8M51XgvAqcV4XzqnBeDc6rwXl1OK8O5zXgvAac14TzmnBeC85rwXltOK8N53XgvA6c14XzunBeD87rwXl9OK8P5w3gvAGcN4TzhnDeCM4bwXljOG8M503gvAmcN4XzpnDeDM6bw3lzOG8B5y3gvCWct4TzVnDeCs5bw3lrOG8D523gvC2ct4XzdnDeDs7bw3l7OO8A5x3gvCOcd4TzTnDO+X8vi/D4</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>eJzt0qFKBEEcwOELPshFo08gG7ZZBZsWDZYD4RAsokW8rBwXLwhiuC5aLBaTUbGc4iP4AML8x4FZvSRc+r7yY2ZndmeX7fUAoG3+7qLry5Kf12zXz107jvH0LHo+iY6vo/d3qScXT9HRS2qzNU+db3ymTm8+Uh9m77Hv6zXW7T3HvrfHmN+5ja7Pov2r3Mvoyji6Oqo7Oa3bP8rnPsjjYWe8m99zM48Huft53WFTvX9Zl/f9fKfyvdr6/mU+7yvaznyn5VxtfZ7SYee8g3rfr3MtuO/S/y8AAAAAAAAAAAAAAAAAAAD+6xti50Rr</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=104.035 Q3=74.000 sample=42 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="13932">
              <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>eJzt0TEKwkAQBdAcy3KrHMHaNKlSaG8hXsAmheQ0OUQOJDhZIQtBtFH0vebD7swyy1QVAAD8iVOdPj3C3atzPOqbyF0XublE9n1kGiKna+T+PNcfI8c2Ld87zOfbJ/M0y76yvzzPmedcu8/e3cvae6X8v2/ZPwAAAAAAAAAAAAAAAADAD7kBvn8gsg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=112.054 Q3=68.003 sample=42 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="13932">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="352">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0i1Pw1AUxvHi+AAI5vgICExd5QQKVTWxhGTJDIJlSzA1G4qEMNTEgpvb1HxTCXNLEwhfAoHDLOlzS9LT3tTg+P/Mk3N7X85tGwQA/pXkKlJ2lUFo6nKeeW7nlfvU1ofNz73jpq/aOf3qurRXHU/j5n3Lcd/9yn18/fv6+j3f8x5eBi4nyuhBebx08zbKk1R5+ab82RcZTT+KTC8+VXfeVee55p2/Ko8yZbZVrlfK74Vy9+zOnytPn1zeK+NZtc+zsbvfnevzVvk4cuND5deNq817aPsuybWp+2Zdy39lv39tf7vO878AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIA/dQChLmRL</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=114.056 Q3=114.056 sample=42 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="13932">
              <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=115.004 Q3=70.900 sample=42 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="13932">
              <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>eJzt0jtOQzEQBdAsjZ1QUFBQRAhRIAog/ALiI3aSMqXLlK9IkeVEwh5LHgV6xDnNlcfjz7PebAYAAP9EeTn6zs1jzdVnzfVHzem+jd/HvvI6zm+eau5ux3Hevyxb393vfVGPnBYpL9q6szGn83G+952O82Xe8rjVL8e+mO/1k7R/yn5+O29108YPNddvNbdfrf+Hd4j3i3q5Hs/J+8Z7lKs0nqf+xZi5HuM4L2fcJ76j3zfuuTzcH/9J7J/X9e9o79z/p+fD6wAAAAAAAAAAAAAAAAAA/oA9Vc6Cug==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=116.047 Q3=73.900 sample=42 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="13932">
              <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>eJzt0T1KQ0EUgNEsKcQNpLVwAdZCiJ1gJaR4IIgBsX4BixQiiFgZexELiydKViTkzgjvQjBWNuc0X+YnMxMyGAAA8G/er8bx4SY6WW3adK8xPvjY9OVpHfPNZ8zvvUUXz9HuNtrOo8PTcu5Jv81h6X50fNRf/5pFp9dlvpw7ui/jtvQyujzrf3953D+33lf31XFer+/5adpX1fld1fO2jvN70v3192R1fnoR7cr/N3oofYxO7qLtIjo8T/dseU+ez35bz/t23Q8AAAAAAAAAAAAAAAAAAH/0DdHWRew=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=116.072 Q3=116.070 sample=42 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="13932">
              <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=116.072 Q3=116.072 sample=42 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="13932">
              <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>eJztz61LQ1EYx/GbNAgLYlkzC9oEo9H9A4LdYnN/gXfBIiKb8w0Z6PS6LciK17sJCjq1WAWT2IRhXBBtor/nhMculu+nfDn35TnnRBEAAADwzwb3s9+JJ29/Gj2q8dK11qUrdaGnFq2rN/798KWaT9XFc/Who2ZddSXz66p9N3ahTtv6s+O/b9rctq3Xz9RXzYlzOk/8ZvdIrBN23pLdZ8T6ZPMK1lpb7Z2oU8d2j221e6DOlG3/fXV5U21t+fcfG2paUctrar+q7u2qzzt+XvgvPL+r+X3Gfz1P6+rokT/nXKIOnaovDVvb/bKW7ddU5+t+bjhPWDcSP/f90O8fGvYJ8wAAAAAAAAAAAAAAAAAAAAAAAAAAAPBnvgALEnDo</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=117.019 Q3=73.100 sample=42 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="13932">
              <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="148">
              <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>eJztzrsNgDAMBUBGS8sI6WhZAImOERiBUSn4FFEE4VvdNZEdx3lVBQAAHxtiyPfrcFif9Uvntv5b+9P5qV37MX9eVZqneF+SY+yXuulC9v5u7v39w/xP/wcAAAAAAAAAAAAAAAAA4DczykEX1A==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=117.056 Q3=71.000 sample=42 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="13932">
              <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>eJwt22VAFU0bBmC6UTiHPLt7rM/ubuexu7s7Xru7u7u7u7u7u7tA7EAQRRHke2bm5s8teFh2Z+ea2tkyed3q7D1bTYx5teRNbFwLsfNx64G1nZ3EsjPxSRvP9RAVHpwVo/b3FUerBrjlnDRQ7BsWv7tOt6Eix/eS/ZJLjxTUbEqnaXPGilzGuSkPAiaKRiN2Hmw3agqON108XF1ucpkCs0UN9YM5OM5Ckd1WvGtf5zKx6GnHu0cOrBInl38ZEjx6rchXY6NfpcwbRPjcjQ2Wj9gsnvzI6JI553ZR42uBj8+f7hL/q7ml2N/ve8TVxrEte//YJ7bvkCd8UMxwP9t2+LbDYuGMqPNdvY6JUifqLcww84To8yuq4Be/08Le9ty9nB3PiAPX1vfrduqsaFxkon1b5HnxZ3XnfZ/6XRDL/KvWz3Hzoig9MMeP/7JdFq9e+8/bMvaKGFNd/uGrItPBm3ezFb0uLqTf3bfLnBui87Q5ts2fbwqPYcX5FG+LhvlybLHfvi02vnUMKTjijkhcKg94V9R7UTV/7kd3xbq5JVxrjr+Hcrsvjj6dmtIx8b6oduHJpFu7H4g7GZ/9Gdn1oWgbmGP8h0yPRHzi4DT1XjwSY6MvLT628LGw3wjLlLnOE7HuUMcdM32fihyhndOVOfdUHE09sGXT8Gei+iePQsFFnos7lb02no59LtoWkGf0QsSb64/Oa/dSDB66IVd585Xw7ZhwcPuDV+LGpjXpp1V+LbLEjFt5Y+trkdRUBBVMEyVu3koas7hPlMga8CL16f0oMbrKqRFWsWjxZPyav62XRYsCZ8YNWfsvWkzjs49p+0bEFK8yIOuFN6LC7kXzSueNEdm/Bp7MtyRGTG7f8nkl97eix+p7XiV6vEU5vBV76y+pXb7sO7FodtqhRba9E4lerRfXCH0vnpWXFe29KHn0f1ENP74X6VUBfhCje3zK3vrEB9Fxa5sG9bJ+FNXePxxZcc5HkfNO9/z13D6JuWOyc4l+En/yv9uZOeaTaB29tkfahp/Fxbmtc/258FnkLm9+ji7yRcz78XjL9U1fRNK6BV0ORnwVbfloq6d8FZc80r6bkvRV5FEV45uYy3d14Jtv4mev8QWGNo8VUe86p9D1WPGmecXuKzJ/F4uzfnrl0/G7+Ccvf813ca4Dn9jd76LYnqUs5rtYWOlIhn3p40TY32vfrpSPEwt2vTz2ulOciHDN1rTtjDjRrvHo5912xul6eytOLP9YvcX+r3FieuZTTeL948VwdePihW3c6atrKsaL2PWLF3brEC+uXezdrvC4eLHpQ5U8qWvixTi/DEmXT8eLNnyVc1/Fi1K17sxp8S9eRPTe0jKL9UMkzJEF80Pc3tf055FmP8SOB/n5zv3Affwhzt5O2VXzxA+RvCXubs3oH2Lwu9/DSnkniD2nvqwslStBfF78+kypugmi84P3XXMOTBCrdz6bkXNZgpCl6TidIBqdf9jU8TZBzFpxdbjD76c4VqPEoV85f4oNfLoxNX/qetjrpwjZWTlq6PyfoknIFLPwkZ9i2VCW++Kn+LXoxbxJnr/Ew2Hhz5Nz/RJBXBvKNP4lvEPL8an/EuMG9q96dtsvMTR49NzQh7/E/rSr2jZ2SRSqeuVI1PWzQaJo45d80xyVKJps8OZLTxRz1mV5v+deori2puLBHymJwmN1hwmFs/0WZVaOazCo3m8xePnaTEeG/xbv7tWZfWHdb7G4pyzp36Kq7/0Bx+J+o378EXwyzfeIP8I9plW/DP/9EeUTTxX5Of8Pyv2P8BqzoPy0L3/ER1evFl3Dk4SsRUXLJYlBuTOkS+ieJCaO+tcl89IkEbnY7VTBS0mia80fM+snJIljbvKAf0XA4ft55tX6K1r2uPBv77C/YmdGbmA2/xWpjzaujH/wV9SZsainzT1ZrJHNZ75kUaj59PnUMllMCBrRoc3UZPHwQo9Cow8li6zDWnmsjkkWg/PVvn8qOEX4bDebdSiZgnqaIrKpBiNFbIvMtavX0RSRZ/bq3/nfpYg9XlzQwf/E6+XBG06U/Qf3/1Cv/+n7f+efmPt9a4KLe6pY7/Hp6ItiqeJgRPYxR3umimqNmozzW5Oqnd5LFc0cbyded3OhDdFfznWOcCH/p3cy++Z1oZvtNxVYVcmF5nwdLgq3cqGGg+rVuDbAhbQHFypmfQv6ssGFDk3aOmHUSReaN77xBu/HLqTaxe8u5MbFu8jXlY5UelmjdUZX6jOpTd6sJV1p05BL2UvUcyXVTHR1pSrHa3fpPtaVuNEf0GeZK+l+y5VqGx/2j7npSk1Vw+pKx18zaBc3GrSkf8+v4W50z13eCTfK23Od6/GKbvQxS36f7S3caF2mI8mT+rsRd4ZhXWe4UbVh4/LW2OhGrHRa5lNu9D2sSp3kx26UUJlbojg3auifmnzHz50qZqxc82Ymd9L3wZ2uFY7vlFTPnWaeutRvdld3Us3kWHdS3e5Sd9rZPSBro33udHPy3Zevr7mTrIZ93rrT29vcIfxzp/TmxUNTIzyoeef/5hsFPKhoh7D966p70K2yW0tm7+RBshfYOdqD+K9XK7TMg3R/6kF5D/9pKm570FIfY2Wrjx4ke9UBbp7U4OTQ2LGGJ6n+s6AnqeayuifJ3jGynSdVYjX3B3tS1vd76i+Z5UmrSuW6v3SjJ8la3eiEJ3Epedrue5LqNz55kvLq6kVTEn1n1Izwoi7duWXJ60Xyry2t4kX/e5m1UJG2XrRm+suFB4Z60Ygp0w6Wnu9FTScWe3hhhxc9KhRbrOIlL9qXf3mTG6+9KI/q4L3oW2EeAYR4U5ysfnm8yWjgc6dyJW+qmGKsmd7Km3ptzNvnzkBvGpW+kxk005tm8OFLbPSmlSH3+s447k3cGZY6cdebup1aWyXmgzet48v0T/Wmpwa3sKE+ZLv6oUfTnD705W2HW9PIh/wl6wY+1NV9RZHb//nQlbdi/auRPpTtcnRw7Dwf4s5id9QW/PykD6nu8Z4PqX7lvQ/J2/Q4yYcmxe3IeDCNL6l+N6MvJZfmhqeoL20OWjsroIYvNXizYdn5Nr6oX74U1/56y+qTfSljyq8Br5f70i/3/G9G7/alK37d6mQ470tR+U42PP/Ql1T79tGXel1rZtmTffF3/GhVOEPK4Eeh06vxCMCPcu9dEbupkh9lzS9roB9l8d1VLW1vP/LbO/j83/F+xI1ZtQtL/OjUx96T2uzCz8/7UWLOqRVmPvWjt23XPCwU60ey9b3r7k8fKrpUaxThT8k/uKLn8ifVDpO/vv76/nT+d6Pg5p399fUP9ad7UWnOtJrpT9zalHi+xp/UuOSgP229zgOOa/6k2o0of33/fvnTgxV8wwID6JkcDv0vgFR/XzqAMtd59PViwwDqHnMjIXPPAFKnPzGAlp48X/HZygAq/XZbYp7DATT2BA8c7wRQeCb5GwH0fdPF6kV9A+lyri6VF/0vkJ7y6ConBdK+gD7bpzUPJDVsGxhIhwweAc4LJNnbZN8dSDeuy69A+iMv52Mg9Wy6rf1Y7zQ0PrD2rvmZ05AslWIV09DZ8Cz1Pdunoegm4YfujE5DHo3ScJGnIf7purlH0xC3ChH9HqUh3d6nIXVbgtPSbvf307PlTktyVDS4eloK5NN51iUtsaYQMTEtdVs6aPnadWmpjGoY0lLQ+enuZ6PSkvqYSxA9blFlab3gIOrJrT5lDKL7MaUG5igYRGqcXj6ICsiOp0EQyeFFng5B2ln/IOovAYwP0uczP4hON09fNm5dEG04cSY8y74gmpqu/bdmZ4NIjePvBBEPPt3rvw6iKwNPrnLEBlGgZ9NS0SlBVE9W9IBg3b4awfRsVzZb8RzBtHNO0XuLigVTqwXONqcrBtPLPlNnxtQLJtX8tQ6manLg0C2YIqqP3BMzKJjUMHp8MKnh1+xgGiuHb8v592QzsTmYZDNabX8wFZcd3Olg6sSjXef1YPQLwbSLhyHGm2DdfnwNpg6yQH8H08ri/5y3XG2kmkl/G7VduXlUphAbNb93/E2IZaPMPKp0zWLT/UEeG1XNk5ohpYiN+nWRPZNN3+/KNlrSh4pNr22j+e2a7ZzT2Eaz83PBtrbRdJf523d3slGTzYVvlOxp0/VzgI22jMo0/84wm67vY2zEd2ds9CQbefDt/jrDRpPCntxMnGejZ86tYf+W2EjNc1bbqOz1YunNjTZacN+3S8btNpKTm2x7bdSDu4OCh22kpgknbVRBfp23UeyVc+V2XOHz49Fz2C2b7t/u2+hbs3JlPjzhn8vh2isble9UtuTRGP7559PFM33C9cTyz+X4JYF/LrvhJBupYUkq/1wOLzzt9FtON3zttOM/voNp7KTG1XY7Ve77J+3HcDsNkRdu2OmZ7F7S2SlQTugy2Unwb4/MaqfVgitQTjvdzcwNTl47echutaCdinD3Zytqp0Wps0f+LWHX7WcZO8nh8blydmrxJKLW9kp23T9Ws9PpDQOX9K/F3+fkCWVDO+XiZmlpCzvJ5npbezup8VpXPu6NkrXu9LETV9ZB7wbbac0e3/KJo/h8eBbjM8lOL3rykWfaaZvsPhbYSc7uyiy3U72qK0ZnWWvX9WQbH79jZHSTQ3b63oYrzDk7HWiRqdfGW7jeZzi/d3btI85OP/aNTN8p2a77Le8QmpGNR6RBIdRPFrwjhLLLDjpTCL3K0e5zrtwhJFlsKBJCNWwshEL0eKZqCMnuOah+CPX82jhkSosQkt2bV6cQUsPZXiF0JvZ6XOLgEBr05urF3mNDKPejy8s+Tgsh+W27BSG6HFeG0KgnpflUQ3R57AmhL3zbqx0LobX7i/4+ez6EJsvm72YI8SjB5cijEJKzv/xRIbRtK399CtFOEkJIzbdTQujGhPXZQ71DaTzP8mYEhZLi5Ail9JMjvcdnCiU9Xg+l6b1C9wwoEkrl2tsnfhOhut2sGkrc2+R7XS+UFnTkGWCLUKouoXYMJZ78BtbuFUqHmcelwaG6HRsbSv/LNnL6kWmhul9eEEqneZS9a2UoqWn45lDK7Ywrs2ZPKL0JjrU7joXSEs+vH+aeD6Xafz6d8L8ZSl787fhHoXpc9zqU5PBj19dQsuS0NykU1xNGIztzDbOHUd6qgxsOTR+G+xNGswO4IhcPIzXgqBRGcbfS7ahQP0zXp9Zhut3rHkZuA7hGDQmjfY14xjgxjNrLCd/cMHobn+5ur1VhcBymx0+Hw0jNby6E6XHq3TDi2cSpLy/D4DGMZLeczyWchn5p8O5eUDjJWe6gDOEY54Xr864crvv7FuEULL/6hFNlHgZHjw2n4dsm79g3P5zG1eUKvTFc99OHw0kNc8+F07P79U8OvRVODZeP+B3wLFyPw9+FUxU5cY4Pp7NyeSclnNR82zeCDoypZXwIiUD5ROjxSq4Ikqs9S4tGUHe1gBBB7+Twp1YEtfa+GVm3WQRx61b/TccIqq86hgji0cxl7xERevw3OYJOy+nk/Agqvv8y9ygRpNaPtkWQmpcfjNDj0rMRlP5uLz5kBC1dwl9PIkit17yN0L6+R5C3GnBHUN3ZFzK99I7U41d7JFVIxzOsdJF08l25u/NzRFJROaAuEkl7BvBMvGwk5Sx9enT1mpGk5i9NIsl53f6zV4dIWszDcLfekRQsC3xYJE3LyDPHSZHkyR87PDeSuLcKr74yUreLWyKpL9+2Xgci6bN3u4uuZyKp461pLvOvR5Js9jM8jtTu30QSq6lTKTaS6qZWyrYuMZLuPOYJd2okcafuaODjIPlr24McVLtjmUDPSAfdLDN8YssMDqoVcTT1QHYHydGDrYCDhsuCL+FAO+kgtXxT3UFJI7se71/fodun5g5S6x4dHDTYnyV1d5CaF/d30MOAhY+KjnBQQznRneAgnhxe/TDDQQ1kB7LQQXKUvGSlg3g2Vjh+o0P73OWgMVnOTtx0yEEu8uu0Q7cvlx2Uupdv3G0HsdZuvk8clHtG3/Kdohy0vdPu4yc/OiiXBBTvoM8n/HuO/OWgp+24xJMcul9KdVCTVq/6H3Y3iFuP7el8DFLz5wCD5Ow3PsigCcNv72saalCFpK+fT0caVHDVxLG5nAbG0Qap5ZUsBvoZg1jLmRt5DXKWXPCnUCGDtt/liRynXFUsWdigi648cuZU11vE0ONozp5yYFjUoOTWy4Ze5VTzlmIGhc0avOo25/osPPEpblB+OezmlNG0hEFq/ZFzS8ssK5qXNKgoN1MvOeUwrW0pg+r+ry8PyQx6dYwbotIGda/PLRSnbKZ6ljFoEl9NHGeIY1m+/sLQ7Qun8kaGbr845bejyxr0MC0fuZxBHZjtRE7ZCvqWN2ik/A/OgJ78rwqGbg85+az+hlY0aH+hq4FLONX4opKB+bdBLfh/M1Y26ONcHkhxqva1ikEectmUc07T2zPzVOXylH+IUzYvhapxecoJKKcc3peobpC8rBOcal2sBpenPCFOdfiaXJ78a1c5w+S3tQxa93x209uc+fundqtfm8uTq8dDzuryP+oY9KQE/4uzEw8rWtc1SC6+RnOOduWZbD2D0sgL5ORS4wMYej7GebA1l3gDQ49rOOXZD25oUCtZEJyqHjYySBana2ND9xOcahzZxNDzas6dfLqBTQ0qqU7IIHl4ezOD5K8t4lT9TnODeqsbb1AKccG2MGgal8Y6TrXe1tIgtfzUEvW2laH7Mc6a8ga0NvS4ibOLPEAbg2T1OcY5TlaLtoYe73Oq29jOILUKzXlYFnt7Q68rcKpi6mBQG1nhONVldTRoqCowg3zkaXQySK87GqR+rbNBu1/KimmQWt/uYhDXEs+vnGpe+Z9Bb0vJ/zBI1uKBXQ2Sd+sPp1pX72aQQ90Ag2R1HNvdoMLyAD0MktVnMqdqv3saevzIWVI2KL24PBcfWzibU62P9+bylMvZnL1lB9KHy1NOezl51hCfri+Xp5xIcar5ST+D1DI2p+pH+nN5ymaKU40XBnB57vvU7wDnz2o80BhokFov51TriYO4PIP5SJxydb7CYAPjDy7Px98Tqg3h8pTdDqfqz4ZyefKfuc9ZXQ5jhhkkf/yUUzbXTYcbep7OuWs+D3BGGHp+xLls+aVaHUcaup/nVMvJoww9PuK8LZfXRhvUUi6ocar+fgzXzzM3biVxqsOMNUitt40z9HiLc0c6+Q+D5OrqVM7LtfhMJhho1w2KHiH/ApcnD8cWcqZs51+YxOXJw+blk9DeTuby7McTQc4CcmFuikFyWWQzZ011YC7POzxw51TDj2lcnjxsPsA5drEcsBgki+MY5wq+zDIzuDxlA8wpf7vCTC5P/nOXONX4fxbaZ045vKkz29DjHE7v8ed+N5pjkBxWPuXMuG+11XKuoceNnKXkBc3j+jmEf4GzseqgDYrZfGXIF07VDy/g+inXSTnVOHQh1095YM5NK+MfDFtkEM8mP/zjVMW72ND97RKDVHFwqnHtUkOve3DK0wpeZujxAOcqPkz4ckPPPziPZOATXWFQZfkPzvt1eCCy0iD+K3wmBsWO6vEp+yqDhssC51Tju9UGqecBnGodbI2hxyWcsjqVWmvQdfk4ilPe/nLrDNLr0oaet683yNVdPpkwSBZvrQ0GmfIGcm7h4miw0aAi6gQMvQ6zydDjI049nzb0+henGp9vMYgrY49PnLJW9tjK/ZAla6RB6vnHNoPUOj5nVVng2w093udU1XiHodfjdnI/JKsdp1rn3WXocS2nWm/abZC6rZzydoXu4X5I3gZOdTf3GqSKjXOgKiCD1GVyytPPup/7IXlanGr+dsDQh+G8yP9d6CD3Q/JEOblW8j8MUo+JOP8yMzpskFRzjjNUFTj3Q1wKVzhlNa5x1CBZPW8dhfNjBj2Wy+7H4Pw490N8+59z6udPcH4Czk9yPyQr2Ek4PwXnp+D8NJyfhvMzcH4Gzs/C+Tk4Pwfn5+H8PJxfgPMLcH4Rzi/C+SU4vwTnl+H8MpxfgfMrcH4Vzq/C+TU4vwbn1+H8OpzfgPMbcH4Tzm/C+S04vwXnt+H8NpzfgfM7cH4Xzu/C+T04vwfn9+H8Ppw/gPMHcP4Qzh/C+SM4fwTnj+H8CZw/gfOncP4Uzp/B+TM4fw7nz+H8BZy/gPOXcP4Szl/B+Ss4fw3nr+E8Cs6j4DwazqPh/A2cv4HzGDiPgfO3cP4Wzt/B+Ts4fw/n7+H8A5x/gPOPcP4Rzj/B+Sc4/wznn+H8C5x/gfOvcP4Nzr/BeSycx8L5dzj/DudxcB4H5/FwHg/nP+D8B5wnwHkCnP+E859w/gvOf8F5IpwnwvlvOP8N53/g/A+cJ8F5Epz/hfO/cJ4M58lwngLnKXD+D87/wXkqnKfCuYupnXMq566mds6pnLuZ2rm7qZ1zKucepnbOqZx7mto5p3LuZWrnnHr9wtTOOT/s54m6j0kDanxvs5JTPZ/0NWn2MP4kp3LuZ2rnnHo91NTOOZXzAFM751TOA03tnFM5T2Nq55zKeVpTO+dUzoNMrFuY2nmwqZ1zKuc2UzvnVM7tpnbOqZyHmNo5p3IeamrnnMp5mKmdcyrn4aZ2zqmcR5iYP5vaOadepzK1c051WoapnXMq56apnXMq55apnXMq505TO+dUztOZ2jmncp7e1M45lfMMpnbOqZxnNLVzTuU8k6mdc6p13P+Z2jlna/kgJrOpnXMq51lM7ZxTOc9qauecynk2UzvnVM6zm9o5p3Kew9TOOZXznKZ2zqmc5+LybLB8xG/OQl/8Zg/LbeL5mqmdc+rntqZ2zqmc5zO1c051u/Kb2jmnmvcX4PJ81KLKUk7lvKCpnXOq0y9k6ud5nMp5YS5PuQ+Fc2Fyuyt5i5jaOeeenPzRoqZ2zqmcF+PylI9dOZXz4qZ+jsXpKv9wCZNm1qnU6xqnXN6vVdLU6/KcReTCZimT1PInZ13+WLPSXJ4v+Iuzm4RUxqTfAcfcYjgnMrfOgsuz1OKsnzjV9hXi8pQf5FTP78uaVGVpvT6/OB/KbRXlTGp/Je/CZE61jlyey1MesAKXp4TJqZ7HV+TylA+QOdU6YiUT645wXtmk5hb/5cpwXgXOq8B5VTjnlB/LWs3U67icxcpFnshd3SS1nYizvtz4VMOk1z5c0JxqH05NLs+i/EFOtS5ci8tTPkDmVOtWtU3KJ28I54ncfMF1TP0cnlM9f6prkto+xClvR5N6Jo3mYn7GGSgLpr5JsliiOLPJ7QcNTL2uyClPr1tDk27zn/3G2VIWYCNuN/ljCZyD5FdjbjflRgpOtf2riUny8bZLU2435f4VzhLyQpqZpPbtcKr1zebcbhbkCs2p10tNSuFqtZBzahJfcEtTr29zbuDbm66VSWofE6d6nt/aJFnMmznV88I2pn6uzqnWy9tyu8mXsZ9T7fNoZ5L8s8c41T6s9txu8sfOtIfzDtxuPtvb6FIHOO/I7SZzu8E5VBZ0J2435YVwcuntbdTZJFmdn3Du4mraogu3m7LCcMpq1e4/bjflBXOq7ShdTVL72jhT+bb16sbtptw/xCmLeUB3OO8O5z243ZTbtjjV86+e3G7y6Xn04nZT3mBOtU2ut6nX/Tn1erNJ8vHA/D5w3hfOOSUjqx+3m8xjNad6jtAfzjmHywo9AM4HwPlAk2R12TsQzgeZ+rkEp7xtpQbDOafaTjMEzofA+VA4Hwrnw+B8GJwPh/PhcD4CzkfA+Ug4Hwnno+B8FJyPhvPRcD4GzsfA+Vg4Hwvn4+B8PJyPh/MJcD4BzifC+UQ4nwTnk+B8MpxPhvMpcD4FzqfC+VQ4nwbn0+B8OpxPh/MZcD4DzmfC+Uw4nwXns+B8NpzPhvM5cD4HzufC+Vw4nwfn8+B8PpzPh/MFcL4AzhfC+UI4XwTni+B8MZwvgfMlcL4UzpfC+TI4Xwbny+F8OZyvgPMVcL4SzlfC+So4XwXnq+F8NZyvgXPO1yfTLC+4lstTbmjllMvSxdfB+To4Xw/n6+F8A5xvgPONcL4RzjfB+SY43wznm+F8C5xvgfOtcL4VzrfB+TY43w7n2+F8B5zvgPOdcL4LznfB+W443w3ne+B8D5zvhfO9cL4PzvfB+X443w/nB+D8AJwfhPODcH4Izg/B+WE4PwznR+D8CJwfhfOjcH4Mzo/B+XE4Pw7nJ+D8BJyfhPOTcH4Kzk/B+Wk4Pw3nZ+D8DJyfhfOzcH4Ozs/D+Xk4vwDnF+D8IpxfhPNLcH4Jzi/D+WU4vwLnV+D8KpxfhfNrcH4Nzq/D+XU4vwHnN+D8JpzfhPNbcH4Lzm/D+W04vwPnd+D8LpzfhfN7cM75+2yHrW3uc3k2u3f8Dac9vuytTg+4PKfsjvrIqbY9PuTyPDzD6zun3gcD54/g/DGcPzFJbRN/AudP4fwpnD+D82dw/hzOn8P5Czh/Aecv4ZxT7dd4xeWpHpCbpLYNv+bylBfwGs6j4DwK/Xk0+vNo9Odv4PwNnMfAeQycv4Xzt3D+Ds7fwfl7OH8P5x/g/AOcf4Tzj3D+Cc4/wflnOP8M51/g/Aucf4Xzr3D+Dc5j4TwWzr/D+Xc4j4PzODiPh3POcHnDfsD5DzhPgPMEOP8J5z/h/Bec/4LzRDhPhPPfcP4bzv/A+R84T4LzJDj/a+rnmpz6eS+X56QJze4lw3kKnHPq/c6m3gfBqd47SIVzTr1vytLOOafzd71cLYrs98gWz6n3Q1pUSG6U4DxTPFO1Ye4WqcNyPuePj/Gw6D8ZnpZ+ns8pd4H6eVkUfOko13SLVrbKfi3I26Kc8gOcR7j6h/lY+vk3p9p+5GuR2m/Oqfbl+FmktpNy+hp8BH+LFu4N6LOdM5PcaBpg0Z6ojwv2cpaRBRJo0bUg/oOcav9RGks/h+eUl1M2rUXyNC9wzuQ/XyXIIkOdmEXy47WCLb0/hFPtV7dZpHhyvpzHBWy3qJu8AE7lPMTSzjmV81BLO+dUzsMs7ZxTOQ+3SG4T/8XZXj4wjrD0/lhO5TzSIn9ZIA6LFnMxTuBUxWNYel8eJ8nLMS2SpzmHU+/bsugDH3YRp/q40yIZKzmV83SWds6pnKe3tHPOC7PkByyS28x2c6r+PKOl+3NO1Z9nsmgyV6/jnKHyQP+z9L4ZTv0eikUn+CyucKr9v1ksksV9i1O/j2CRagY51XPybJbe18ep9t1mt/S+Uc4DfNgOOSwqxx9/zymja06LWv4rn/SV8xPf7T65LFL7xzk91QVYNLcFf4BTbr8dkcciVa3zWlRCVRSLVDXMZ+n9dJzRstrkt0hWh1mcej+BRVP59i3gVM4LWqq4l3OqfYOFLDolhzuc6rILW6S2FXGq/f9FLJJ/fienOmxRi9Lyx/dzqihmUXZZQTkPcateuriln+NzSk7lS1jUWn6AU+1PKmlp55zKeSlLO+dU+4xLW6S6B07lvIyFfWOWdi4sigmRN8zSzskiWYyfCc7LwnlZOC8H5+XgvDycl4fzCnBeEc4rwnklOK8E55XhvDKcV4HzKnBeFc6rwnk1OK8G59XhvDqc14DzGnBeE85rwnktOK8F57XhvDac14HzOnBeF87rwnk9OK8H5/XhvD6cN4DzBnDeEM4bwnkjOG8E543hvDGcN4HzJnDeFM6bwXkzOG8O583hvAWct4DzlnDeEs5bwXkrOG8N563hvA2ct4HztnDeFs7bwXk7OG8P5+3hvAOcd4DzjnDeEc47wXknOO8M553hvAucd4Hz/+D8PzjvCudd4bwbnHeD8+5w3h3Oe8B5DzjvCee9LOwHtLBfCc57w3kfOO8D533hvC+c94PzfnDeH877w/kAOB8A5wPhfCCcD4LzQXA+GM4Hw/kQOB8C50PhfCicD4PzYXA+HM6Hw/kIOB8B5yPhfCScj4LzUXA+Gs5Hw/kYOB8D52PhfCycj4PzcXA+Hs4nwPkEOJ8I5xPhfBKcT4LzyXA+Gc6nwPkUOJ8K51PhfBqcT4Pz6XA+Hc5nwPkMOJ8J5zPhfBacz4Lz2XA+G87nwPkcOJ8L53PhfB6cz4Pz+XA+H84XwPkCOF8I5wvhfBGcL4LzxXC+GM6XwPlSOF8K58vgfBmcL4fz5XC+As5XwPlKOF8J56vgnFO9VrnaIrktdiPnwi4HI7Kv4fKUb4Nyqvdo1lp6vzynej9unaX3mXG++1lzUsn1cM4pf63sBjjfAOcb4XwjnG+C801wvhnON8P5FjjfAudb4XwrnG+D821wvh3Ot8P5DjjfAec74XwX+vNdcL4bznfD+R443wPne+F8L5zvg/N9cL4fzvfD+QE451T7Iw/COad6L/MQnB+C88Pcbsr34DgnlfQYVvwIt5tywyDn2q5Rq8RROD8K58e4PPPnfnSZU25Trn7cog7yxbzjcH4Czk/A+Uk4Pwnnp+D8FJyfhvPTcH6Gy1O+JnkGzs/C+Vk4Pwfn5+D8PJxfgPMLcH4Rzi/C+SU455RvMdsuwznnevka4BWL5GUtuwLnV7k8+TTWcKr3kq9xuylfKOFMkK8pX+d282jPojs508iCvcHlKd/vvAHnNy1S789xqvdlb3G7Kd+T5JTVtvxtLs+Bb65e5BwiD3DHIvk273XO+Vwt6tzl8pQvzHCq98bucXnKF5A5r3Cxt7jP5VmQBXCqfeIPuDzbFR73lvPfH76hDy39/gtnpHyN7xGXJx8+jlP+Wv/Hlt53zllL3vgnln5vgfM/eeJPuTyZlcczLs+3DIwzeATf6eeWfu+Kk5VNCHph0eHyfIGcleQBXlp6vymnel/zFZfnGq5Ir+D8NZy/hvMoOI+C82g4j4bzN3D+Bs5juN3kw5+MgfO3Fslvz3Oq98becbv5mQuWs7A88ffcbjr4PzjVvtwPFqnXkzm7cfVu9tHS+3451fuWn7jdlAfgVPtPP1t6Pz7nMb7d3b9wuylvFKd6n+mrRbLYf3J+l9v4v3G7KUF8Q38eC+ffud2UBcaptgfHWXjPgNtN/rU08ZZ+vZ7zQ3o+8g9uN2XBcsq3hBwJFs16z//BaY3if/3k8VEY3+mfcP6Lx0cV+Qb8gvNEi2Q1282p3jP5Dee/4fwPnP+B8yRLv6fIeYKLs+JfOP8L58lwzqneV0/hdlOeEKc8fJN/ln5fi1N+2yrVItbTNYqznCxYFyfdMvk3OCWrrq5O7ZxTvffg5iT1fj2nei/b3Unp5AVyymo2wsNJsvq4eDrpknw9mlO9R+HlJHkbp3D2kgXh7SRZ7LM4lXMfJ4VLEJzKua9TO+c8xafr9HNq55zKub9TO+dUzgOc2jmnch7o1M45JauiaZzaOadyntapnXMq50FO7ZxTOQ92auecyrnNqZ1zKud2p3bOqZyHOLVzTuU81KmdcyrnYU7tnFM5D3dq55zKeYRTO+dUziOd2jmncu5waueGUzvnVM5Np3bOqZxbTu2cUzl3OrVzTuU8nVM751TO0zu1c07lPINTO+dUzjM6tXNO5TyTUzvnVM7/59TOOZXzzE7tnFM5z+LUzjmV86xO7ZxTOc/m1M45lfPsTu2cUznP4dTOOfU+c6d2zqmc53Jq55zKeW6nds6pnOdxauecynlep3aez6mdcyrn+Z3aOadyXsCpnXMq5wWd2jmncl7IqZ1zKueFndo5p37fwamdcyrnRZ3aOadyXsypnXMq58Wd2jmncl7CqZ1zKuclndo5p3Jeisuz+KwVVzmV89JO7ZxTOS/j1M45lXPh1M45lXOCc4LzsnBeFs7LwXk5OC8P5+XhvAKcV4TzinBeCc4rwXllOK8M51XgvAqcV4XzqnBeDc6rwXl1OK8O5zXgvAac14TzmnBeC85rwXltOK8N53XgvA6c14XzunBeD87rwXl9OK8P5w3gvAGcN4TzhnDeCM4bwXljOG8M503gvAmcN4XzpnDeDM6bw3lzOG8B5y3gvCWct4TzVnDeCs5bw3lrOG8D523gvC2ct4XzdnDeDs7bw3l7OO8A5x3gvCOcd4TzTnDO+X8vi/D4</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>eJzt0q1LA2EAx/EbaBMR8QVMJxiMsjTBcHaDxSJXDJoGTvRUxHCGIaLBaRIEhwYXFlY0zoHmYVPEsKKsCyaD+PyeO3gO/wDB76d8eZ5nz73sOc8DgD+gsRb82tK62llVgygzDm0XMrXz1SU7Xnav58249wmK7nrtwK5X1PcrdfrWNK7ca5x/Mg3KXdPWxKfmm7nZn/iFPtOBwyHTr+aw6W7vqOlUXY3zI6alzqDp5Kv2dft1ncczXdcff9P9rl/0HJtt3W/lQf24s++n5/RyN/b9Gva56upYze2Gfb/FS/X5Qm1X1blzNTxW/RO151Tt7Nv72s4fufOFsl3fUuMdtbHnjpP/P2lyPsm+9Lwid5zO23NOv4PIvV52X3LuyTj9ropuW9vuero/dH+Xfl8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPwP3y38cNo=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=118.051 Q3=54.900 sample=42 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="13932">
              <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="72">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztyKENAEAIwEBGQzPVj/6eYLDkzrURAADAyqscu38AAAAAAAAAAAAAAAAAADjuA48TAx8=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=118.051 Q3=74.100 sample=42 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="13932">
              <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="364">
              <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>eJzt0j1LQlEcx3GnxOFugZs0Br0DXU5rk/MdMmiRBhEMkkA4FUHk4t7aC4goCAoyGmoKiaamQGhpaSvBITg//8E5SC8gvp/ly73niftQKAAAAODf8blT19SNLffnfBsfbsbzfdvNnWf7/p6XnLO0E/esp446cdN5dv7yftzuYTxu+3mvtnfjfWzd49HsvAO1eqpOrkJ97SV0sPAZ2v0uroaWyqGji0poM18MfZtkofXqVPvsad3wdqyuvKqNZ41/PamtB533ca/273R/+1p9v1GzS3X9XHUnavM4fk5r+r7t/di4Xdv/YPfte9k6u073te+f/h8AAAAAAAAAAAAAAAAAAAAAAAAAAADAzA9GVl4N</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=122.025 Q3=78.000 sample=42 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="13932">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="152">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0ksKgCAQAFCPJnSE1t2lo3W0IHCRNTguo/c24mc+iqUA8BvHWq9xX+ptvc379XZ+pI+bjY/6iuo8+t/q6350z6juaL+/z6heuv9kXPZ8Ns9svuy/yb4HAAAAAAAAAAAAAAAAAAAAn3cC9AInug==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=128.072 Q3=128.072 sample=42 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="13932">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="312">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0S+LAkEch3FfxgWDwWD0HbjFajObLCIognAIx21QFC2imASLxSRY9DAtBwe+hAPfiUnwOyPM6LBZfD7lYf/9dmY3kwEAAK+tHLn1zwckNV2Pqmqurp4mamGhnnfq0PRyULtH9WOrZpfq59jM+zJzBmp/5p6PO+577TpC67bX7/eFpOw7zcN7zLy4oSbfql13sese2+eSljcnsE7/P9jjds+dP5qqzZVa2N8al/7U9ck896tWftT8Rv2fe/uoPV938PuVU/bj3QcAAAAAAAAAAAAAAAAAAAAAAAAAAADgLVwBvqs+pQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=130.051 Q3=83.900 sample=42 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="13932">
              <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>eJzt0jEKhDAQBVALD+QR0noEW2/hBaysLOwtLRY8Uo5iES3E2OwisvBe8xlIJjOQogAA4D11+I/+v/Z5eM/QhGxWXcpySjksKeMn5Trv9bjP15/vHX1ie64v+9T59+/O3dbfevofAQAAAAAAAAAAAAAAAABA3gZ7BRbD</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=130.062 Q3=88.000 sample=42 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="13932">
              <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>eJzt0b1KA0EUhuHFQvEuLK1CCouUYyP2NmIlNsYmhWRBEELwJygKiqAGRIiiEMEihUhKy3R6CXaCWFmJIAjznVk46w1YvE/zcmZmZ+OaZQAAAMiy+RAT6mo1t56qn7dqt68u3ak1m5fv1Y9r9eFM3blUm+fq9Imfw4X61bX7rE+H/p70XGptz5/rt/16OPDr1V11uG/zhl8fdPx+2LT9dZsb9v4tm+u+6b5iveHvCa3S8y3//uJ9uT9XPj868ucH2+r4lbrwGNtee44NzbfY19F3bG91bDbOMz/an3zXc5UXdWKozvXU9H+6OfYtf+fUP39f+s65/93Fd1os7dt6MrXiZwAAAAAAAAAAAAAAAAAAAAAAAAAAAOCf+QU50WHO</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=130.087 Q3=130.086 sample=42 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="13932">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="512">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=130.087 Q3=130.087 sample=42 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="13932">
              <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="528">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=131.046 Q3=131.046 sample=42 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="13932">
              <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="440">
              <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>eJzt0b1KQmEcx3HDCCnIINoaausGmlq0ya2hTSKabIkK6gLOVEE4dQcNJWXvL2pRHnpx0CGzQCEQozaHvICg4Pn9HbyBWr6f5cvzcnzOeQwEAAAAgD+ymI+4xm7UunXnVl25U5vXatrWJ219XfPe0KPaKmi+6KvPGXUrpwYfXP1qRW286bnBusbZF417S9pfs3MSfud7JK/U+awavexsyebt+7y+J9fIts4bKbxrPt9QZ3V+Y+PTtfzaco0ddUfduD/sOpfucQ1FulyX14KuqSnN+zM/One8qe/JVfX7cbuXit33qn1X2N53wMYT99q/pPf1P8oaJ4tab/8v+xfq9JkaP1Xb9107VDO2njhWT87VUZv/suc2rUXbFztQQ7uql1aHrWN76oKtf6dUAAAAAAAAAAAAAAAAAAAAAAAAAAAA/LtfODF5vQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=131.083 Q3=131.083 sample=42 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="13932">
              <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=42 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="13932">
              <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="364">
              <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>eJzt0r1KA0EUhuEpvYzUwcI61UK6VAHBQhAWBVkIooI2RmSr1EFBO03pJaRM4YXkEnIJFud8g2fcJYWV8D7Nx/ycMzPLpgQAAADgfxlWf9uv8b4+PXV1bdk2lstHy8MXy883y+nK8ujdsvmwPHi1/Hr2fa3lzcJy7ePN3HL34H2e/Pw7H9/7/a59/8xycGu5uui+b30V91dncT2dxvrtZVyvpjE3J7FO8+nccxL7aL497u6b+xX1uqfOyfXKsb+vjuPcr+ijunJddXm/3lOcm0ZxXn10vsbK8rvpf9J9ynurv/b3zZfrOq/vHb/uMYl9y++R36kxAAAAAAAAAAAAAAAAAAAAAAAAAAD46RtbL17T</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=133.014 Q3=71.200 sample=42 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="13932">
              <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>eJzt0LEJQCEMBUBHs/wjOI6jOdoHwVJUiFZ3TSCEl5CUAADgsVZyr/XLW/PRc7ui807zx59emd1z2o+yyr+9HwAAAAAAAAAAAAAAAACApR+9jw0B</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=135.056 Q3=78.200 sample=42 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="13932">
              <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>eJwt22VAFU0bBmC6UTiHPLt7rM/ubuexu7s7Xru7u7u7u7u7u7tA7EAQRRHke2bm5s8teFh2Z+ea2tkyed3q7D1bTYx5teRNbFwLsfNx64G1nZ3EsjPxSRvP9RAVHpwVo/b3FUerBrjlnDRQ7BsWv7tOt6Eix/eS/ZJLjxTUbEqnaXPGilzGuSkPAiaKRiN2Hmw3agqON108XF1ucpkCs0UN9YM5OM5Ckd1WvGtf5zKx6GnHu0cOrBInl38ZEjx6rchXY6NfpcwbRPjcjQ2Wj9gsnvzI6JI553ZR42uBj8+f7hL/q7ml2N/ve8TVxrEte//YJ7bvkCd8UMxwP9t2+LbDYuGMqPNdvY6JUifqLcww84To8yuq4Be/08Le9ty9nB3PiAPX1vfrduqsaFxkon1b5HnxZ3XnfZ/6XRDL/KvWz3Hzoig9MMeP/7JdFq9e+8/bMvaKGFNd/uGrItPBm3ezFb0uLqTf3bfLnBui87Q5ts2fbwqPYcX5FG+LhvlybLHfvi02vnUMKTjijkhcKg94V9R7UTV/7kd3xbq5JVxrjr+Hcrsvjj6dmtIx8b6oduHJpFu7H4g7GZ/9Gdn1oWgbmGP8h0yPRHzi4DT1XjwSY6MvLT628LGw3wjLlLnOE7HuUMcdM32fihyhndOVOfdUHE09sGXT8Gei+iePQsFFnos7lb02no59LtoWkGf0QsSb64/Oa/dSDB66IVd585Xw7ZhwcPuDV+LGpjXpp1V+LbLEjFt5Y+trkdRUBBVMEyVu3koas7hPlMga8CL16f0oMbrKqRFWsWjxZPyav62XRYsCZ8YNWfsvWkzjs49p+0bEFK8yIOuFN6LC7kXzSueNEdm/Bp7MtyRGTG7f8nkl97eix+p7XiV6vEU5vBV76y+pXb7sO7FodtqhRba9E4lerRfXCH0vnpWXFe29KHn0f1ENP74X6VUBfhCje3zK3vrEB9Fxa5sG9bJ+FNXePxxZcc5HkfNO9/z13D6JuWOyc4l+En/yv9uZOeaTaB29tkfahp/Fxbmtc/258FnkLm9+ji7yRcz78XjL9U1fRNK6BV0ORnwVbfloq6d8FZc80r6bkvRV5FEV45uYy3d14Jtv4mev8QWGNo8VUe86p9D1WPGmecXuKzJ/F4uzfnrl0/G7+Ccvf813ca4Dn9jd76LYnqUs5rtYWOlIhn3p40TY32vfrpSPEwt2vTz2ulOciHDN1rTtjDjRrvHo5912xul6eytOLP9YvcX+r3FieuZTTeL948VwdePihW3c6atrKsaL2PWLF3brEC+uXezdrvC4eLHpQ5U8qWvixTi/DEmXT8eLNnyVc1/Fi1K17sxp8S9eRPTe0jKL9UMkzJEF80Pc3tf055FmP8SOB/n5zv3Affwhzt5O2VXzxA+RvCXubs3oH2Lwu9/DSnkniD2nvqwslStBfF78+kypugmi84P3XXMOTBCrdz6bkXNZgpCl6TidIBqdf9jU8TZBzFpxdbjD76c4VqPEoV85f4oNfLoxNX/qetjrpwjZWTlq6PyfoknIFLPwkZ9i2VCW++Kn+LXoxbxJnr/Ew2Hhz5Nz/RJBXBvKNP4lvEPL8an/EuMG9q96dtsvMTR49NzQh7/E/rSr2jZ2SRSqeuVI1PWzQaJo45d80xyVKJps8OZLTxRz1mV5v+deori2puLBHymJwmN1hwmFs/0WZVaOazCo3m8xePnaTEeG/xbv7tWZfWHdb7G4pyzp36Kq7/0Bx+J+o378EXwyzfeIP8I9plW/DP/9EeUTTxX5Of8Pyv2P8BqzoPy0L3/ER1evFl3Dk4SsRUXLJYlBuTOkS+ieJCaO+tcl89IkEbnY7VTBS0mia80fM+snJIljbvKAf0XA4ft55tX6K1r2uPBv77C/YmdGbmA2/xWpjzaujH/wV9SZsainzT1ZrJHNZ75kUaj59PnUMllMCBrRoc3UZPHwQo9Cow8li6zDWnmsjkkWg/PVvn8qOEX4bDebdSiZgnqaIrKpBiNFbIvMtavX0RSRZ/bq3/nfpYg9XlzQwf/E6+XBG06U/Qf3/1Cv/+n7f+efmPt9a4KLe6pY7/Hp6ItiqeJgRPYxR3umimqNmozzW5Oqnd5LFc0cbyded3OhDdFfznWOcCH/p3cy++Z1oZvtNxVYVcmF5nwdLgq3cqGGg+rVuDbAhbQHFypmfQv6ssGFDk3aOmHUSReaN77xBu/HLqTaxe8u5MbFu8jXlY5UelmjdUZX6jOpTd6sJV1p05BL2UvUcyXVTHR1pSrHa3fpPtaVuNEf0GeZK+l+y5VqGx/2j7npSk1Vw+pKx18zaBc3GrSkf8+v4W50z13eCTfK23Od6/GKbvQxS36f7S3caF2mI8mT+rsRd4ZhXWe4UbVh4/LW2OhGrHRa5lNu9D2sSp3kx26UUJlbojg3auifmnzHz50qZqxc82Ymd9L3wZ2uFY7vlFTPnWaeutRvdld3Us3kWHdS3e5Sd9rZPSBro33udHPy3Zevr7mTrIZ93rrT29vcIfxzp/TmxUNTIzyoeef/5hsFPKhoh7D966p70K2yW0tm7+RBshfYOdqD+K9XK7TMg3R/6kF5D/9pKm570FIfY2Wrjx4ke9UBbp7U4OTQ2LGGJ6n+s6AnqeayuifJ3jGynSdVYjX3B3tS1vd76i+Z5UmrSuW6v3SjJ8la3eiEJ3Epedrue5LqNz55kvLq6kVTEn1n1Izwoi7duWXJ60Xyry2t4kX/e5m1UJG2XrRm+suFB4Z60Ygp0w6Wnu9FTScWe3hhhxc9KhRbrOIlL9qXf3mTG6+9KI/q4L3oW2EeAYR4U5ysfnm8yWjgc6dyJW+qmGKsmd7Km3ptzNvnzkBvGpW+kxk005tm8OFLbPSmlSH3+s447k3cGZY6cdebup1aWyXmgzet48v0T/Wmpwa3sKE+ZLv6oUfTnD705W2HW9PIh/wl6wY+1NV9RZHb//nQlbdi/auRPpTtcnRw7Dwf4s5id9QW/PykD6nu8Z4PqX7lvQ/J2/Q4yYcmxe3IeDCNL6l+N6MvJZfmhqeoL20OWjsroIYvNXizYdn5Nr6oX74U1/56y+qTfSljyq8Br5f70i/3/G9G7/alK37d6mQ470tR+U42PP/Ql1T79tGXel1rZtmTffF3/GhVOEPK4Eeh06vxCMCPcu9dEbupkh9lzS9roB9l8d1VLW1vP/LbO/j83/F+xI1ZtQtL/OjUx96T2uzCz8/7UWLOqRVmPvWjt23XPCwU60ey9b3r7k8fKrpUaxThT8k/uKLn8ifVDpO/vv76/nT+d6Pg5p399fUP9ad7UWnOtJrpT9zalHi+xp/UuOSgP229zgOOa/6k2o0of33/fvnTgxV8wwID6JkcDv0vgFR/XzqAMtd59PViwwDqHnMjIXPPAFKnPzGAlp48X/HZygAq/XZbYp7DATT2BA8c7wRQeCb5GwH0fdPF6kV9A+lyri6VF/0vkJ7y6ConBdK+gD7bpzUPJDVsGxhIhwweAc4LJNnbZN8dSDeuy69A+iMv52Mg9Wy6rf1Y7zQ0PrD2rvmZ05AslWIV09DZ8Cz1Pdunoegm4YfujE5DHo3ScJGnIf7purlH0xC3ChH9HqUh3d6nIXVbgtPSbvf307PlTktyVDS4eloK5NN51iUtsaYQMTEtdVs6aPnadWmpjGoY0lLQ+enuZ6PSkvqYSxA9blFlab3gIOrJrT5lDKL7MaUG5igYRGqcXj6ICsiOp0EQyeFFng5B2ln/IOovAYwP0uczP4hON09fNm5dEG04cSY8y74gmpqu/bdmZ4NIjePvBBEPPt3rvw6iKwNPrnLEBlGgZ9NS0SlBVE9W9IBg3b4awfRsVzZb8RzBtHNO0XuLigVTqwXONqcrBtPLPlNnxtQLJtX8tQ6manLg0C2YIqqP3BMzKJjUMHp8MKnh1+xgGiuHb8v592QzsTmYZDNabX8wFZcd3Olg6sSjXef1YPQLwbSLhyHGm2DdfnwNpg6yQH8H08ri/5y3XG2kmkl/G7VduXlUphAbNb93/E2IZaPMPKp0zWLT/UEeG1XNk5ohpYiN+nWRPZNN3+/KNlrSh4pNr22j+e2a7ZzT2Eaz83PBtrbRdJf523d3slGTzYVvlOxp0/VzgI22jMo0/84wm67vY2zEd2ds9CQbefDt/jrDRpPCntxMnGejZ86tYf+W2EjNc1bbqOz1YunNjTZacN+3S8btNpKTm2x7bdSDu4OCh22kpgknbVRBfp23UeyVc+V2XOHz49Fz2C2b7t/u2+hbs3JlPjzhn8vh2isble9UtuTRGP7559PFM33C9cTyz+X4JYF/LrvhJBupYUkq/1wOLzzt9FtON3zttOM/voNp7KTG1XY7Ve77J+3HcDsNkRdu2OmZ7F7S2SlQTugy2Unwb4/MaqfVgitQTjvdzcwNTl47echutaCdinD3Zytqp0Wps0f+LWHX7WcZO8nh8blydmrxJKLW9kp23T9Ws9PpDQOX9K/F3+fkCWVDO+XiZmlpCzvJ5npbezup8VpXPu6NkrXu9LETV9ZB7wbbac0e3/KJo/h8eBbjM8lOL3rykWfaaZvsPhbYSc7uyiy3U72qK0ZnWWvX9WQbH79jZHSTQ3b63oYrzDk7HWiRqdfGW7jeZzi/d3btI85OP/aNTN8p2a77Le8QmpGNR6RBIdRPFrwjhLLLDjpTCL3K0e5zrtwhJFlsKBJCNWwshEL0eKZqCMnuOah+CPX82jhkSosQkt2bV6cQUsPZXiF0JvZ6XOLgEBr05urF3mNDKPejy8s+Tgsh+W27BSG6HFeG0KgnpflUQ3R57AmhL3zbqx0LobX7i/4+ez6EJsvm72YI8SjB5cijEJKzv/xRIbRtK399CtFOEkJIzbdTQujGhPXZQ71DaTzP8mYEhZLi5Ail9JMjvcdnCiU9Xg+l6b1C9wwoEkrl2tsnfhOhut2sGkrc2+R7XS+UFnTkGWCLUKouoXYMJZ78BtbuFUqHmcelwaG6HRsbSv/LNnL6kWmhul9eEEqneZS9a2UoqWn45lDK7Ywrs2ZPKL0JjrU7joXSEs+vH+aeD6Xafz6d8L8ZSl787fhHoXpc9zqU5PBj19dQsuS0NykU1xNGIztzDbOHUd6qgxsOTR+G+xNGswO4IhcPIzXgqBRGcbfS7ahQP0zXp9Zhut3rHkZuA7hGDQmjfY14xjgxjNrLCd/cMHobn+5ur1VhcBymx0+Hw0jNby6E6XHq3TDi2cSpLy/D4DGMZLeczyWchn5p8O5eUDjJWe6gDOEY54Xr864crvv7FuEULL/6hFNlHgZHjw2n4dsm79g3P5zG1eUKvTFc99OHw0kNc8+F07P79U8OvRVODZeP+B3wLFyPw9+FUxU5cY4Pp7NyeSclnNR82zeCDoypZXwIiUD5ROjxSq4Ikqs9S4tGUHe1gBBB7+Twp1YEtfa+GVm3WQRx61b/TccIqq86hgji0cxl7xERevw3OYJOy+nk/Agqvv8y9ygRpNaPtkWQmpcfjNDj0rMRlP5uLz5kBC1dwl9PIkit17yN0L6+R5C3GnBHUN3ZFzK99I7U41d7JFVIxzOsdJF08l25u/NzRFJROaAuEkl7BvBMvGwk5Sx9enT1mpGk5i9NIsl53f6zV4dIWszDcLfekRQsC3xYJE3LyDPHSZHkyR87PDeSuLcKr74yUreLWyKpL9+2Xgci6bN3u4uuZyKp461pLvOvR5Js9jM8jtTu30QSq6lTKTaS6qZWyrYuMZLuPOYJd2okcafuaODjIPlr24McVLtjmUDPSAfdLDN8YssMDqoVcTT1QHYHydGDrYCDhsuCL+FAO+kgtXxT3UFJI7se71/fodun5g5S6x4dHDTYnyV1d5CaF/d30MOAhY+KjnBQQznRneAgnhxe/TDDQQ1kB7LQQXKUvGSlg3g2Vjh+o0P73OWgMVnOTtx0yEEu8uu0Q7cvlx2Uupdv3G0HsdZuvk8clHtG3/Kdohy0vdPu4yc/OiiXBBTvoM8n/HuO/OWgp+24xJMcul9KdVCTVq/6H3Y3iFuP7el8DFLz5wCD5Ow3PsigCcNv72saalCFpK+fT0caVHDVxLG5nAbG0Qap5ZUsBvoZg1jLmRt5DXKWXPCnUCGDtt/liRynXFUsWdigi648cuZU11vE0ONozp5yYFjUoOTWy4Ze5VTzlmIGhc0avOo25/osPPEpblB+OezmlNG0hEFq/ZFzS8ssK5qXNKgoN1MvOeUwrW0pg+r+ry8PyQx6dYwbotIGda/PLRSnbKZ6ljFoEl9NHGeIY1m+/sLQ7Qun8kaGbr845bejyxr0MC0fuZxBHZjtRE7ZCvqWN2ik/A/OgJ78rwqGbg85+az+hlY0aH+hq4FLONX4opKB+bdBLfh/M1Y26ONcHkhxqva1ikEectmUc07T2zPzVOXylH+IUzYvhapxecoJKKcc3peobpC8rBOcal2sBpenPCFOdfiaXJ78a1c5w+S3tQxa93x209uc+fundqtfm8uTq8dDzuryP+oY9KQE/4uzEw8rWtc1SC6+RnOOduWZbD2D0sgL5ORS4wMYej7GebA1l3gDQ49rOOXZD25oUCtZEJyqHjYySBana2ND9xOcahzZxNDzas6dfLqBTQ0qqU7IIHl4ezOD5K8t4lT9TnODeqsbb1AKccG2MGgal8Y6TrXe1tIgtfzUEvW2laH7Mc6a8ga0NvS4ibOLPEAbg2T1OcY5TlaLtoYe73Oq29jOILUKzXlYFnt7Q68rcKpi6mBQG1nhONVldTRoqCowg3zkaXQySK87GqR+rbNBu1/KimmQWt/uYhDXEs+vnGpe+Z9Bb0vJ/zBI1uKBXQ2Sd+sPp1pX72aQQ90Ag2R1HNvdoMLyAD0MktVnMqdqv3saevzIWVI2KL24PBcfWzibU62P9+bylMvZnL1lB9KHy1NOezl51hCfri+Xp5xIcar5ST+D1DI2p+pH+nN5ymaKU40XBnB57vvU7wDnz2o80BhokFov51TriYO4PIP5SJxydb7CYAPjDy7Px98Tqg3h8pTdDqfqz4ZyefKfuc9ZXQ5jhhkkf/yUUzbXTYcbep7OuWs+D3BGGHp+xLls+aVaHUcaup/nVMvJoww9PuK8LZfXRhvUUi6ocar+fgzXzzM3biVxqsOMNUitt40z9HiLc0c6+Q+D5OrqVM7LtfhMJhho1w2KHiH/ApcnD8cWcqZs51+YxOXJw+blk9DeTuby7McTQc4CcmFuikFyWWQzZ011YC7POzxw51TDj2lcnjxsPsA5drEcsBgki+MY5wq+zDIzuDxlA8wpf7vCTC5P/nOXONX4fxbaZ045vKkz29DjHE7v8ed+N5pjkBxWPuXMuG+11XKuoceNnKXkBc3j+jmEf4GzseqgDYrZfGXIF07VDy/g+inXSTnVOHQh1095YM5NK+MfDFtkEM8mP/zjVMW72ND97RKDVHFwqnHtUkOve3DK0wpeZujxAOcqPkz4ckPPPziPZOATXWFQZfkPzvt1eCCy0iD+K3wmBsWO6vEp+yqDhssC51Tju9UGqecBnGodbI2hxyWcsjqVWmvQdfk4ilPe/nLrDNLr0oaet683yNVdPpkwSBZvrQ0GmfIGcm7h4miw0aAi6gQMvQ6zydDjI049nzb0+henGp9vMYgrY49PnLJW9tjK/ZAla6RB6vnHNoPUOj5nVVng2w093udU1XiHodfjdnI/JKsdp1rn3WXocS2nWm/abZC6rZzydoXu4X5I3gZOdTf3GqSKjXOgKiCD1GVyytPPup/7IXlanGr+dsDQh+G8yP9d6CD3Q/JEOblW8j8MUo+JOP8yMzpskFRzjjNUFTj3Q1wKVzhlNa5x1CBZPW8dhfNjBj2Wy+7H4Pw490N8+59z6udPcH4Czk9yPyQr2Ek4PwXnp+D8NJyfhvMzcH4Gzs/C+Tk4Pwfn5+H8PJxfgPMLcH4Rzi/C+SU4vwTnl+H8MpxfgfMrcH4Vzq/C+TU4vwbn1+H8OpzfgPMbcH4Tzm/C+S04vwXnt+H8NpzfgfM7cH4Xzu/C+T04vwfn9+H8Ppw/gPMHcP4Qzh/C+SM4fwTnj+H8CZw/gfOncP4Uzp/B+TM4fw7nz+H8BZy/gPOXcP4Szl/B+Ss4fw3nr+E8Cs6j4DwazqPh/A2cv4HzGDiPgfO3cP4Wzt/B+Ts4fw/n7+H8A5x/gPOPcP4Rzj/B+Sc4/wznn+H8C5x/gfOvcP4Nzr/BeSycx8L5dzj/DudxcB4H5/FwHg/nP+D8B5wnwHkCnP+E859w/gvOf8F5IpwnwvlvOP8N53/g/A+cJ8F5Epz/hfO/cJ4M58lwngLnKXD+D87/wXkqnKfCuYupnXMq566mds6pnLuZ2rm7qZ1zKucepnbOqZx7mto5p3LuZWrnnHr9wtTOOT/s54m6j0kDanxvs5JTPZ/0NWn2MP4kp3LuZ2rnnHo91NTOOZXzAFM751TOA03tnFM5T2Nq55zKeVpTO+dUzoNMrFuY2nmwqZ1zKuc2UzvnVM7tpnbOqZyHmNo5p3IeamrnnMp5mKmdcyrn4aZ2zqmcR5iYP5vaOadepzK1c051WoapnXMq56apnXMq55apnXMq505TO+dUztOZ2jmncp7e1M45lfMMpnbOqZxnNLVzTuU8k6mdc6p13P+Z2jlna/kgJrOpnXMq51lM7ZxTOc9qauecynk2UzvnVM6zm9o5p3Kew9TOOZXznKZ2zqmc5+LybLB8xG/OQl/8Zg/LbeL5mqmdc+rntqZ2zqmc5zO1c051u/Kb2jmnmvcX4PJ81KLKUk7lvKCpnXOq0y9k6ud5nMp5YS5PuQ+Fc2Fyuyt5i5jaOeeenPzRoqZ2zqmcF+PylI9dOZXz4qZ+jsXpKv9wCZNm1qnU6xqnXN6vVdLU6/KcReTCZimT1PInZ13+WLPSXJ4v+Iuzm4RUxqTfAcfcYjgnMrfOgsuz1OKsnzjV9hXi8pQf5FTP78uaVGVpvT6/OB/KbRXlTGp/Je/CZE61jlyey1MesAKXp4TJqZ7HV+TylA+QOdU6YiUT645wXtmk5hb/5cpwXgXOq8B5VTjnlB/LWs3U67icxcpFnshd3SS1nYizvtz4VMOk1z5c0JxqH05NLs+i/EFOtS5ci8tTPkDmVOtWtU3KJ28I54ncfMF1TP0cnlM9f6prkto+xClvR5N6Jo3mYn7GGSgLpr5JsliiOLPJ7QcNTL2uyClPr1tDk27zn/3G2VIWYCNuN/ljCZyD5FdjbjflRgpOtf2riUny8bZLU2435f4VzhLyQpqZpPbtcKr1zebcbhbkCs2p10tNSuFqtZBzahJfcEtTr29zbuDbm66VSWofE6d6nt/aJFnMmznV88I2pn6uzqnWy9tyu8mXsZ9T7fNoZ5L8s8c41T6s9txu8sfOtIfzDtxuPtvb6FIHOO/I7SZzu8E5VBZ0J2435YVwcuntbdTZJFmdn3Du4mraogu3m7LCcMpq1e4/bjflBXOq7ShdTVL72jhT+bb16sbtptw/xCmLeUB3OO8O5z243ZTbtjjV86+e3G7y6Xn04nZT3mBOtU2ut6nX/Tn1erNJ8vHA/D5w3hfOOSUjqx+3m8xjNad6jtAfzjmHywo9AM4HwPlAk2R12TsQzgeZ+rkEp7xtpQbDOafaTjMEzofA+VA4Hwrnw+B8GJwPh/PhcD4CzkfA+Ug4Hwnno+B8FJyPhvPRcD4GzsfA+Vg4Hwvn4+B8PJyPh/MJcD4BzifC+UQ4nwTnk+B8MpxPhvMpcD4FzqfC+VQ4nwbn0+B8OpxPh/MZcD4DzmfC+Uw4nwXns+B8NpzPhvM5cD4HzufC+Vw4nwfn8+B8PpzPh/MFcL4AzhfC+UI4XwTni+B8MZwvgfMlcL4UzpfC+TI4Xwbny+F8OZyvgPMVcL4SzlfC+So4XwXnq+F8NZyvgXPO1yfTLC+4lstTbmjllMvSxdfB+To4Xw/n6+F8A5xvgPONcL4RzjfB+SY43wznm+F8C5xvgfOtcL4VzrfB+TY43w7n2+F8B5zvgPOdcL4LznfB+W443w3ne+B8D5zvhfO9cL4PzvfB+X443w/nB+D8AJwfhPODcH4Izg/B+WE4PwznR+D8CJwfhfOjcH4Mzo/B+XE4Pw7nJ+D8BJyfhPOTcH4Kzk/B+Wk4Pw3nZ+D8DJyfhfOzcH4Ozs/D+Xk4vwDnF+D8IpxfhPNLcH4Jzi/D+WU4vwLnV+D8KpxfhfNrcH4Nzq/D+XU4vwHnN+D8JpzfhPNbcH4Lzm/D+W04vwPnd+D8LpzfhfN7cM75+2yHrW3uc3k2u3f8Dac9vuytTg+4PKfsjvrIqbY9PuTyPDzD6zun3gcD54/g/DGcPzFJbRN/AudP4fwpnD+D82dw/hzOn8P5Czh/Aecv4ZxT7dd4xeWpHpCbpLYNv+bylBfwGs6j4DwK/Xk0+vNo9Odv4PwNnMfAeQycv4Xzt3D+Ds7fwfl7OH8P5x/g/AOcf4Tzj3D+Cc4/wflnOP8M51/g/Aucf4Xzr3D+Dc5j4TwWzr/D+Xc4j4PzODiPh3POcHnDfsD5DzhPgPMEOP8J5z/h/Bec/4LzRDhPhPPfcP4bzv/A+R84T4LzJDj/a+rnmpz6eS+X56QJze4lw3kKnHPq/c6m3gfBqd47SIVzTr1vytLOOafzd71cLYrs98gWz6n3Q1pUSG6U4DxTPFO1Ye4WqcNyPuePj/Gw6D8ZnpZ+ns8pd4H6eVkUfOko13SLVrbKfi3I26Kc8gOcR7j6h/lY+vk3p9p+5GuR2m/Oqfbl+FmktpNy+hp8BH+LFu4N6LOdM5PcaBpg0Z6ojwv2cpaRBRJo0bUg/oOcav9RGks/h+eUl1M2rUXyNC9wzuQ/XyXIIkOdmEXy47WCLb0/hFPtV7dZpHhyvpzHBWy3qJu8AE7lPMTSzjmV81BLO+dUzsMs7ZxTOQ+3SG4T/8XZXj4wjrD0/lhO5TzSIn9ZIA6LFnMxTuBUxWNYel8eJ8nLMS2SpzmHU+/bsugDH3YRp/q40yIZKzmV83SWds6pnKe3tHPOC7PkByyS28x2c6r+PKOl+3NO1Z9nsmgyV6/jnKHyQP+z9L4ZTv0eikUn+CyucKr9v1ksksV9i1O/j2CRagY51XPybJbe18ep9t1mt/S+Uc4DfNgOOSwqxx9/zymja06LWv4rn/SV8xPf7T65LFL7xzk91QVYNLcFf4BTbr8dkcciVa3zWlRCVRSLVDXMZ+n9dJzRstrkt0hWh1mcej+BRVP59i3gVM4LWqq4l3OqfYOFLDolhzuc6rILW6S2FXGq/f9FLJJ/fienOmxRi9Lyx/dzqihmUXZZQTkPcateuriln+NzSk7lS1jUWn6AU+1PKmlp55zKeSlLO+dU+4xLW6S6B07lvIyFfWOWdi4sigmRN8zSzskiWYyfCc7LwnlZOC8H5+XgvDycl4fzCnBeEc4rwnklOK8E55XhvDKcV4HzKnBeFc6rwnk1OK8G59XhvDqc14DzGnBeE85rwnktOK8F57XhvDac14HzOnBeF87rwnk9OK8H5/XhvD6cN4DzBnDeEM4bwnkjOG8E543hvDGcN4HzJnDeFM6bwXkzOG8O583hvAWct4DzlnDeEs5bwXkrOG8N563hvA2ct4HztnDeFs7bwXk7OG8P5+3hvAOcd4DzjnDeEc47wXknOO8M553hvAucd4Hz/+D8PzjvCudd4bwbnHeD8+5w3h3Oe8B5DzjvCee9LOwHtLBfCc57w3kfOO8D533hvC+c94PzfnDeH877w/kAOB8A5wPhfCCcD4LzQXA+GM4Hw/kQOB8C50PhfCicD4PzYXA+HM6Hw/kIOB8B5yPhfCScj4LzUXA+Gs5Hw/kYOB8D52PhfCycj4PzcXA+Hs4nwPkEOJ8I5xPhfBKcT4LzyXA+Gc6nwPkUOJ8K51PhfBqcT4Pz6XA+Hc5nwPkMOJ8J5zPhfBacz4Lz2XA+G87nwPkcOJ8L53PhfB6cz4Pz+XA+H84XwPkCOF8I5wvhfBGcL4LzxXC+GM6XwPlSOF8K58vgfBmcL4fz5XC+As5XwPlKOF8J56vgnFO9VrnaIrktdiPnwi4HI7Kv4fKUb4Nyqvdo1lp6vzynej9unaX3mXG++1lzUsn1cM4pf63sBjjfAOcb4XwjnG+C801wvhnON8P5FjjfAudb4XwrnG+D821wvh3Ot8P5DjjfAec74XwX+vNdcL4bznfD+R443wPne+F8L5zvg/N9cL4fzvfD+QE451T7Iw/COad6L/MQnB+C88Pcbsr34DgnlfQYVvwIt5tywyDn2q5Rq8RROD8K58e4PPPnfnSZU25Trn7cog7yxbzjcH4Czk/A+Uk4Pwnnp+D8FJyfhvPTcH6Gy1O+JnkGzs/C+Vk4Pwfn5+D8PJxfgPMLcH4Rzi/C+SU455RvMdsuwznnevka4BWL5GUtuwLnV7k8+TTWcKr3kq9xuylfKOFMkK8pX+d282jPojs508iCvcHlKd/vvAHnNy1S789xqvdlb3G7Kd+T5JTVtvxtLs+Bb65e5BwiD3DHIvk273XO+Vwt6tzl8pQvzHCq98bucXnKF5A5r3Cxt7jP5VmQBXCqfeIPuDzbFR73lvPfH76hDy39/gtnpHyN7xGXJx8+jlP+Wv/Hlt53zllL3vgnln5vgfM/eeJPuTyZlcczLs+3DIwzeATf6eeWfu+Kk5VNCHph0eHyfIGcleQBXlp6vymnel/zFZfnGq5Ir+D8NZy/hvMoOI+C82g4j4bzN3D+Bs5juN3kw5+MgfO3Fslvz3Oq98becbv5mQuWs7A88ffcbjr4PzjVvtwPFqnXkzm7cfVu9tHS+3451fuWn7jdlAfgVPtPP1t6Pz7nMb7d3b9wuylvFKd6n+mrRbLYf3J+l9v4v3G7KUF8Q38eC+ffud2UBcaptgfHWXjPgNtN/rU08ZZ+vZ7zQ3o+8g9uN2XBcsq3hBwJFs16z//BaY3if/3k8VEY3+mfcP6Lx0cV+Qb8gvNEi2Q1282p3jP5Dee/4fwPnP+B8yRLv6fIeYKLs+JfOP8L58lwzqneV0/hdlOeEKc8fJN/ln5fi1N+2yrVItbTNYqznCxYFyfdMvk3OCWrrq5O7ZxTvffg5iT1fj2nei/b3Unp5AVyymo2wsNJsvq4eDrpknw9mlO9R+HlJHkbp3D2kgXh7SRZ7LM4lXMfJ4VLEJzKua9TO+c8xafr9HNq55zKub9TO+dUzgOc2jmnch7o1M45JauiaZzaOadyntapnXMq50FO7ZxTOQ92auecyrnNqZ1zKud2p3bOqZyHOLVzTuU81KmdcyrnYU7tnFM5D3dq55zKeYRTO+dUziOd2jmncu5waueGUzvnVM5Np3bOqZxbTu2cUzl3OrVzTuU8nVM751TO0zu1c07lPINTO+dUzjM6tXNO5TyTUzvnVM7/59TOOZXzzE7tnFM5z+LUzjmV86xO7ZxTOc/m1M45lfPsTu2cUznP4dTOOfU+c6d2zqmc53Jq55zKeW6nds6pnOdxauecynlep3aez6mdcyrn+Z3aOadyXsCpnXMq5wWd2jmncl7IqZ1zKueFndo5p37fwamdcyrnRZ3aOadyXsypnXMq58Wd2jmncl7CqZ1zKuclndo5p3Jeisuz+KwVVzmV89JO7ZxTOS/j1M45lXPh1M45lXOCc4LzsnBeFs7LwXk5OC8P5+XhvAKcV4TzinBeCc4rwXllOK8M51XgvAqcV4XzqnBeDc6rwXl1OK8O5zXgvAac14TzmnBeC85rwXltOK8N53XgvA6c14XzunBeD87rwXl9OK8P5w3gvAGcN4TzhnDeCM4bwXljOG8M503gvAmcN4XzpnDeDM6bw3lzOG8B5y3gvCWct4TzVnDeCs5bw3lrOG8D523gvC2ct4XzdnDeDs7bw3l7OO8A5x3gvCOcd4TzTnDO+X8vi/D4</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="88">
              <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>eJztzzEKACAMA8A+zMH/v8pdKFJQ7HC3pUNII6C7Md/27Pcsn3ZU+2/9BQAAAAAAAAAAAAAAAAAAAAB/LLIZBNk=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=136.040 Q3=91.900 sample=42 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="13932">
              <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>eJzt0jtKBEEQxvE9wgYbbGDgGYxFvImLjMsgCuMTFRd8oYnIouIDFB+rgpGBYCCyTiAoGCgewEwxELyCsvWVUHOG/y/5qOqe7p6eKZUABE/r/Z2sblgmm5blpmVlR/WWZaq6uq/+tvoaz/cs6y3Lz1PNa8V+Xf3k2LLrSPNPtO9uHB9RfafnKheW7XPLpvp96n+dWWaH8Vypzltesuye17yG6lTzhy1rY6oHC+Oqa6Px+WwqrptPa9/FuG95NWa6pnpFOVOYrzofL4xPxnX8HD4vm43zvO/n9vP5ef/XzeK430NtKL5nMX19vz+/L3//RP+Vf4dc/1Gv/ou2vt/3peXBleXyreX7g+XHcycXJl46mQ+8Wv1j/dLNo2XPveXbddzH/1e/73yu8P5KvxcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIA/v4sweuQ=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=145.014 Q3=100.900 sample=42 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="13932">
              <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>eJzt0T9LQlEYx3GX6i04+gJ6ESdoEFocGxrEyUkkCAJBLkZQGOKQaBDNFQTR2qJLNNTUUG0u0upoW3B+5xGeG661fD/Ll/vvnHPPKRQAAACAfzI9DbHzM99mK7WtZg21eqiGmr8f9v37lWO13lXLHX89Gvo+3KmdG3X7No0z8OPb/P1zdXyvfjzFloqz2PnOIrbYXduK07yvx4bP73h/fPWl717fYrOXia43HtW9a3XzUrV9sf96PvLrsfXZvizXW089UZs9tXSR1p/57/L7a+ewHDfV9n1VV51T/rzCrmrnY88rB36cX+fcys2TxgEAAAAAAAAAAAAAAAAAAAAAAAAAAMCf+wEFx1zC</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=145.051 Q3=81.000 sample=42 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="13932">
              <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="116">
              <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>eJztzrENwCAMBEBGyShpGSE1VbZgFEaloAIpUmiQi7vmJduynRIAAART831039r/e/9r7iqj3t4567Pk5l9RRP0LAAAAAAAAAAAAAAAAAIDjOjoqDdA=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=145.062 Q3=57.800 sample=42 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="13932">
              <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>eJzt0CEOwkAQBdAeAI/CoisJCs0ROAK2F1iHbcINsPiqKtDlDBylSSclaRMCTRMM75mf2ezsbCbLAADgS2m/m9d/mNbf35/aN9enef0e0jEyP0XW1y7T+h71sol6+4hc3eK8rCI3l8jFefjesxjOf7eH1z/G+eN9AQAAAAAAAAAAAAAAAADwt1qUQx0h</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=145.098 Q3=145.098 sample=42 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="13932">
              <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=146.046 Q3=101.600 sample=42 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="13932">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="224">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0jEKwjAUBmAHD5ahR3AuHVxcRC8gXdwFN1cdPYTH8DgOaQp92KKCQ+H7lp/klZeX0MUCAABmKq3SZL2tpuu/Kn3j+WWd1jnbOmezGa5LjvX9dP9bZb7Yr8x3Oua83HI+7zmX1y7POXeHnI99GvQt9+7P69bNNnwXsujfp3o/Zz9/PV2Pc4z1i/vxfeKc//qfAAAAAAAAAAAAAAAAAABm7AUqry43</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=148.044 Q3=148.044 sample=42 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="13932">
              <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>eJzt0rtKA0EUgOEVsRDFTtBOsLKXCCqSxCfwDYJgJYqPELtgFWW9gIIg4jXxkosEISauCoIgYmOnQSGgmC4gduKcM8KElJb/1/zsZCeZsxvPAwAA/2I6EzYdP5Gu6PVCStpzKn0+ctdtrxr2jRRM45N3puH0m6x3f0kDL/Kbh5Zvcx2bqMn9mSfpluyLRwK5/yInfdfO6u/1amvaNW3i2D1fKavnT0sjes5BnSehDXTOqLaYl07JPF7XubS9JB24kfke9dy1D9O+IZmrkGozc5Y3Okzncp2mt/2tpslYXfbV7/W8Ral9jtUd6eiy1PellXWdNyn9XNT7VnWuTff8MzpP5VA6vOfOH0q5n/9V10N2337za/u/8bel9n3Y+6q77vfZuV4P3PPY97p0Jh2T88ejl1L/WtbnA+mLPq98Q+3/pazPEQAAAAAAAAAAAAAAAAAAAAAAAAAAAACa+AEPAY5y</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=149.046 Q3=59.100 sample=42 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="13932">
              <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>eJzt0TEOwjAMAMA+hac0T+jI1oWBAYkn8TSewBMYGleqK0uRYLxbrDiJY7fTBMD/LPMWW4rdfD2uR+ud7sU7S8q3Il+da2P595rq9ni5FXX6/n4v99XX+1z5u3XrPZ3r+6/H8V6cixj7ET/P436so/+of5ozz5VV/yGvcz7PH6r3Rvup6lT9AAAAAAAAAAAAAAAAAAAAwG++WUkpwA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=149.046 Q3=58.800 sample=42 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="13932">
              <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>eJzt0bENAjEMAMCMloYRvk9DQ/UNDRWjMAIjIvEyUvyKoqcD3TVW7ES2nFIA4E/cT/Ud27l259L6c7tusS59jHs5/6mnPt/ONxP94n5+N8ofnTPq+d1hab+j+SO/+5/BXLP/mM09q8/2GPnHJfVbt/i8pXzr74/2EvlcBwAAAAAAAAAAAAAAAAAA+EEv5qUyBg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=151.026 Q3=108.000 sample=42 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="13932">
              <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="424">
              <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>eJzt0rFLQlEYhvGLNDVJ0NTiGPQXtNXW0CBEtLhICBZCRSgRRFZCBQ1i7YoENRTcoa0GacnRqRxcA0dpD6Lznk84t/aGnt/ycK/fuedcNYoA4A/UdxZcW1tquqz2KmpUULO74Zyts3n73O5HJX+9569XfXPhc2yuWgzns/vh/jY3Plcp0cLv+1fz4b7J/ax2nh/zy4lz5BJzyff0c7M1f94DNT5Vb1vqfOxafX9RXweuncqHa5yaWPxutjblOlibce2vqN2radfh9aRrvPHp1mVSQz0v/6Z9Rl1dt5913XxU5x7Udd/evXp3o2621UxTfbpU+43wfbbP1WIjfF+7P7pQ0772PS2dqPY92fPqh+H94rFfXw7Xnx2F8/a/GP8OAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD8L18WAW7W</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=154.062 Q3=93.000 sample=42 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="13932">
              <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>eJztzytSA0EURuGWyEjkLCES2UtAIrOESGTLVHgNhFDhPTwKImcJs4TIyFlCJJIq+oxoNgDifOav233v7ZkQJEmSJEmS9Ge2H/En02eZNefNe86v15zhLeeaevOSsyX3ON+n74C6emYf9RH9k4ecqybnMeczcvPEPPWavvo+55a6e2Qf2TKX6Iu8U1HXdznHnPfU7Yp3qdNtzhF9ifvInmqZ8/CGPctyTzfMc99e8Z30NeTokn30BTJd851kRQb2xAX/w3lkX10zN7zHfarL98aLcl9HveO+O6ePuXCRc8p9ZG7Hfcd9PKWffYk9PffNr/0b5nsyDvW8zIb+QE6Gd2bsOynvp8N3Mx85r/iOjvk4L+f6M/qYn7BfkiRJkiRJkiRJkiRJkiRJkiRJ/843CE6CHg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=157.037 Q3=96.900 sample=42 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="13932">
              <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>eJzt0bFNQzEQBuCMwAhMwAyvoKdJHwpSUEWKIqFIKSJ6JCZANFkgNQVkgoySkhIJ+yz58iI6qu9rfvnZ73y2JxMA+Mti6MezMt7eDt38+0PNVRrX/HysOR2fj7oxH/Xzf8NTyatln7mf3Ff8H/XyeULeL+pHvUv9tXWzfpzvI/q/fi152pWcf/zm9uar5N2hfH/Zl/x+q3Wf+7rRx/1m/JztvLX/43q831jX3mPR12/3lL63/abj6y71cfYu+b6rXLeNYz6/JwAAAAAAAAAAAAAAAAAAAP/lB813WMA=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=157.123 Q3=157.123 sample=42 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="13932">
              <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>eJztz61OA0EUgNFNCNtu+ekGCgkocIQXQFeBRGFpgsGQYAiVFYjKPgKK1OBwGDQhgMERNIKEykrCvX2IinPMl9mZvbNbFDBfRsPF7n87X3W0uGhHj19a0b0y+36SnTwuRz/38/zN2Vp05zT78NGJfh9s5P7dZnTU3IrWb7k+3509v1qP9g7z/Z8q59avq3l/tRI9mi5FL3tVdNDK7366b0TH12W02cj98XOe72/n/9wuZKe/OW8ymz8scw0AAAAAAAAAAAAAAAAAAAAA8+4PuNMoxw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=160.062 Q3=99.800 sample=42 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="13932">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="224">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0rEKgzAQAFA/y9Gxc6dOIgWhU+nYsZ8u1FwgSUWL63vLcbl4iUm6DgAA+OkzDt/4eq9xuqf4GIr6NKf8tsauT/lljcO1rMd4U095o98YP+tg38P7OrvPje/z+v/2T/PjfOP+alHP91bdY1OP+xvL+ZHX60U9j89lvyaP76J/ff59OX9vveb9Rd9n2T+/6/h/AAAAAAAAAAAAAAAAAIB9C4LINHg=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=163.061 Q3=100.800 sample=42 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="13932">
              <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>eJzt0SFLBEEYgOH7KSazP2GCgtgMYhOLWRCMBwcGqybFdE1sNpPBZLIJVpNRDJoMCvPdLMyc42GyPE95md1vZ2fZ0QgA/knaSrmTtfTj/eH67u9z7Xxp2b88P6w77+/N954rnR4sOH9n3e43t/9efZ7Vs+j5VfTuNnr/lDt5eM293v7MXdn8yj1Z/shd2niJ+Z3H6NtN9OIy+j6Nrp/O7h/VTePZ+rhel3MOPYw+76f6e8b198y10f7P9npvvchf5wEAAAAAAAAAAAAAAAAAAOj6BjtYQi4=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=164.072 Q3=103.100 sample=42 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="13932">
              <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>eJzt0iFIQ1EUh/EbbBaLYBDEYBmCoM3iU5h2UbApDMvKVjQZVhRtWsSgIBYXJojFMmWIwWIVo0EwumoTz/+ewbv6sGj7fuXjXLjvbve9EAAA+CeN1SzXsJzM5dh1dWAjWff6vtrP+3+bs2r+HH/et9/j6+WC2RXt9/NryXnJeu9e4tzdUuun1sbSnXVt9NW6Oxdmv/owNWQtHZas04sT1s225uHtEWs21m99ufmw/dnkm547/qxePOq8yr3mQZ0XFtrq07V6e6XOxL5fqvMtte9cbTbV6pnaiuvdY/XoJPf/Qn1f7RzE+9lTV3ZU/w68vftM32+8X78/V3T/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAIA/9wlYPlav</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=167.021 Q3=69.100 sample=42 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="13932">
              <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>eJwt22VAFU0bBmC6UTiHPLt7rM/ubuexu7s7Xru7u7u7u7u7u7tA7EAQRRHke2bm5s8teFh2Z+ea2tkyed3q7D1bTYx5teRNbFwLsfNx64G1nZ3EsjPxSRvP9RAVHpwVo/b3FUerBrjlnDRQ7BsWv7tOt6Eix/eS/ZJLjxTUbEqnaXPGilzGuSkPAiaKRiN2Hmw3agqON108XF1ucpkCs0UN9YM5OM5Ckd1WvGtf5zKx6GnHu0cOrBInl38ZEjx6rchXY6NfpcwbRPjcjQ2Wj9gsnvzI6JI553ZR42uBj8+f7hL/q7ml2N/ve8TVxrEte//YJ7bvkCd8UMxwP9t2+LbDYuGMqPNdvY6JUifqLcww84To8yuq4Be/08Le9ty9nB3PiAPX1vfrduqsaFxkon1b5HnxZ3XnfZ/6XRDL/KvWz3Hzoig9MMeP/7JdFq9e+8/bMvaKGFNd/uGrItPBm3ezFb0uLqTf3bfLnBui87Q5ts2fbwqPYcX5FG+LhvlybLHfvi02vnUMKTjijkhcKg94V9R7UTV/7kd3xbq5JVxrjr+Hcrsvjj6dmtIx8b6oduHJpFu7H4g7GZ/9Gdn1oWgbmGP8h0yPRHzi4DT1XjwSY6MvLT628LGw3wjLlLnOE7HuUMcdM32fihyhndOVOfdUHE09sGXT8Gei+iePQsFFnos7lb02no59LtoWkGf0QsSb64/Oa/dSDB66IVd585Xw7ZhwcPuDV+LGpjXpp1V+LbLEjFt5Y+trkdRUBBVMEyVu3koas7hPlMga8CL16f0oMbrKqRFWsWjxZPyav62XRYsCZ8YNWfsvWkzjs49p+0bEFK8yIOuFN6LC7kXzSueNEdm/Bp7MtyRGTG7f8nkl97eix+p7XiV6vEU5vBV76y+pXb7sO7FodtqhRba9E4lerRfXCH0vnpWXFe29KHn0f1ENP74X6VUBfhCje3zK3vrEB9Fxa5sG9bJ+FNXePxxZcc5HkfNO9/z13D6JuWOyc4l+En/yv9uZOeaTaB29tkfahp/Fxbmtc/258FnkLm9+ji7yRcz78XjL9U1fRNK6BV0ORnwVbfloq6d8FZc80r6bkvRV5FEV45uYy3d14Jtv4mev8QWGNo8VUe86p9D1WPGmecXuKzJ/F4uzfnrl0/G7+Ccvf813ca4Dn9jd76LYnqUs5rtYWOlIhn3p40TY32vfrpSPEwt2vTz2ulOciHDN1rTtjDjRrvHo5912xul6eytOLP9YvcX+r3FieuZTTeL948VwdePihW3c6atrKsaL2PWLF3brEC+uXezdrvC4eLHpQ5U8qWvixTi/DEmXT8eLNnyVc1/Fi1K17sxp8S9eRPTe0jKL9UMkzJEF80Pc3tf055FmP8SOB/n5zv3Affwhzt5O2VXzxA+RvCXubs3oH2Lwu9/DSnkniD2nvqwslStBfF78+kypugmi84P3XXMOTBCrdz6bkXNZgpCl6TidIBqdf9jU8TZBzFpxdbjD76c4VqPEoV85f4oNfLoxNX/qetjrpwjZWTlq6PyfoknIFLPwkZ9i2VCW++Kn+LXoxbxJnr/Ew2Hhz5Nz/RJBXBvKNP4lvEPL8an/EuMG9q96dtsvMTR49NzQh7/E/rSr2jZ2SRSqeuVI1PWzQaJo45d80xyVKJps8OZLTxRz1mV5v+deori2puLBHymJwmN1hwmFs/0WZVaOazCo3m8xePnaTEeG/xbv7tWZfWHdb7G4pyzp36Kq7/0Bx+J+o378EXwyzfeIP8I9plW/DP/9EeUTTxX5Of8Pyv2P8BqzoPy0L3/ER1evFl3Dk4SsRUXLJYlBuTOkS+ieJCaO+tcl89IkEbnY7VTBS0mia80fM+snJIljbvKAf0XA4ft55tX6K1r2uPBv77C/YmdGbmA2/xWpjzaujH/wV9SZsainzT1ZrJHNZ75kUaj59PnUMllMCBrRoc3UZPHwQo9Cow8li6zDWnmsjkkWg/PVvn8qOEX4bDebdSiZgnqaIrKpBiNFbIvMtavX0RSRZ/bq3/nfpYg9XlzQwf/E6+XBG06U/Qf3/1Cv/+n7f+efmPt9a4KLe6pY7/Hp6ItiqeJgRPYxR3umimqNmozzW5Oqnd5LFc0cbyded3OhDdFfznWOcCH/p3cy++Z1oZvtNxVYVcmF5nwdLgq3cqGGg+rVuDbAhbQHFypmfQv6ssGFDk3aOmHUSReaN77xBu/HLqTaxe8u5MbFu8jXlY5UelmjdUZX6jOpTd6sJV1p05BL2UvUcyXVTHR1pSrHa3fpPtaVuNEf0GeZK+l+y5VqGx/2j7npSk1Vw+pKx18zaBc3GrSkf8+v4W50z13eCTfK23Od6/GKbvQxS36f7S3caF2mI8mT+rsRd4ZhXWe4UbVh4/LW2OhGrHRa5lNu9D2sSp3kx26UUJlbojg3auifmnzHz50qZqxc82Ymd9L3wZ2uFY7vlFTPnWaeutRvdld3Us3kWHdS3e5Sd9rZPSBro33udHPy3Zevr7mTrIZ93rrT29vcIfxzp/TmxUNTIzyoeef/5hsFPKhoh7D966p70K2yW0tm7+RBshfYOdqD+K9XK7TMg3R/6kF5D/9pKm570FIfY2Wrjx4ke9UBbp7U4OTQ2LGGJ6n+s6AnqeayuifJ3jGynSdVYjX3B3tS1vd76i+Z5UmrSuW6v3SjJ8la3eiEJ3Epedrue5LqNz55kvLq6kVTEn1n1Izwoi7duWXJ60Xyry2t4kX/e5m1UJG2XrRm+suFB4Z60Ygp0w6Wnu9FTScWe3hhhxc9KhRbrOIlL9qXf3mTG6+9KI/q4L3oW2EeAYR4U5ysfnm8yWjgc6dyJW+qmGKsmd7Km3ptzNvnzkBvGpW+kxk005tm8OFLbPSmlSH3+s447k3cGZY6cdebup1aWyXmgzet48v0T/Wmpwa3sKE+ZLv6oUfTnD705W2HW9PIh/wl6wY+1NV9RZHb//nQlbdi/auRPpTtcnRw7Dwf4s5id9QW/PykD6nu8Z4PqX7lvQ/J2/Q4yYcmxe3IeDCNL6l+N6MvJZfmhqeoL20OWjsroIYvNXizYdn5Nr6oX74U1/56y+qTfSljyq8Br5f70i/3/G9G7/alK37d6mQ470tR+U42PP/Ql1T79tGXel1rZtmTffF3/GhVOEPK4Eeh06vxCMCPcu9dEbupkh9lzS9roB9l8d1VLW1vP/LbO/j83/F+xI1ZtQtL/OjUx96T2uzCz8/7UWLOqRVmPvWjt23XPCwU60ey9b3r7k8fKrpUaxThT8k/uKLn8ifVDpO/vv76/nT+d6Pg5p399fUP9ad7UWnOtJrpT9zalHi+xp/UuOSgP229zgOOa/6k2o0of33/fvnTgxV8wwID6JkcDv0vgFR/XzqAMtd59PViwwDqHnMjIXPPAFKnPzGAlp48X/HZygAq/XZbYp7DATT2BA8c7wRQeCb5GwH0fdPF6kV9A+lyri6VF/0vkJ7y6ConBdK+gD7bpzUPJDVsGxhIhwweAc4LJNnbZN8dSDeuy69A+iMv52Mg9Wy6rf1Y7zQ0PrD2rvmZ05AslWIV09DZ8Cz1Pdunoegm4YfujE5DHo3ScJGnIf7purlH0xC3ChH9HqUh3d6nIXVbgtPSbvf307PlTktyVDS4eloK5NN51iUtsaYQMTEtdVs6aPnadWmpjGoY0lLQ+enuZ6PSkvqYSxA9blFlab3gIOrJrT5lDKL7MaUG5igYRGqcXj6ICsiOp0EQyeFFng5B2ln/IOovAYwP0uczP4hON09fNm5dEG04cSY8y74gmpqu/bdmZ4NIjePvBBEPPt3rvw6iKwNPrnLEBlGgZ9NS0SlBVE9W9IBg3b4awfRsVzZb8RzBtHNO0XuLigVTqwXONqcrBtPLPlNnxtQLJtX8tQ6manLg0C2YIqqP3BMzKJjUMHp8MKnh1+xgGiuHb8v592QzsTmYZDNabX8wFZcd3Olg6sSjXef1YPQLwbSLhyHGm2DdfnwNpg6yQH8H08ri/5y3XG2kmkl/G7VduXlUphAbNb93/E2IZaPMPKp0zWLT/UEeG1XNk5ohpYiN+nWRPZNN3+/KNlrSh4pNr22j+e2a7ZzT2Eaz83PBtrbRdJf523d3slGTzYVvlOxp0/VzgI22jMo0/84wm67vY2zEd2ds9CQbefDt/jrDRpPCntxMnGejZ86tYf+W2EjNc1bbqOz1YunNjTZacN+3S8btNpKTm2x7bdSDu4OCh22kpgknbVRBfp23UeyVc+V2XOHz49Fz2C2b7t/u2+hbs3JlPjzhn8vh2isble9UtuTRGP7559PFM33C9cTyz+X4JYF/LrvhJBupYUkq/1wOLzzt9FtON3zttOM/voNp7KTG1XY7Ve77J+3HcDsNkRdu2OmZ7F7S2SlQTugy2Unwb4/MaqfVgitQTjvdzcwNTl47echutaCdinD3Zytqp0Wps0f+LWHX7WcZO8nh8blydmrxJKLW9kp23T9Ws9PpDQOX9K/F3+fkCWVDO+XiZmlpCzvJ5npbezup8VpXPu6NkrXu9LETV9ZB7wbbac0e3/KJo/h8eBbjM8lOL3rykWfaaZvsPhbYSc7uyiy3U72qK0ZnWWvX9WQbH79jZHSTQ3b63oYrzDk7HWiRqdfGW7jeZzi/d3btI85OP/aNTN8p2a77Le8QmpGNR6RBIdRPFrwjhLLLDjpTCL3K0e5zrtwhJFlsKBJCNWwshEL0eKZqCMnuOah+CPX82jhkSosQkt2bV6cQUsPZXiF0JvZ6XOLgEBr05urF3mNDKPejy8s+Tgsh+W27BSG6HFeG0KgnpflUQ3R57AmhL3zbqx0LobX7i/4+ez6EJsvm72YI8SjB5cijEJKzv/xRIbRtK399CtFOEkJIzbdTQujGhPXZQ71DaTzP8mYEhZLi5Ail9JMjvcdnCiU9Xg+l6b1C9wwoEkrl2tsnfhOhut2sGkrc2+R7XS+UFnTkGWCLUKouoXYMJZ78BtbuFUqHmcelwaG6HRsbSv/LNnL6kWmhul9eEEqneZS9a2UoqWn45lDK7Ywrs2ZPKL0JjrU7joXSEs+vH+aeD6Xafz6d8L8ZSl787fhHoXpc9zqU5PBj19dQsuS0NykU1xNGIztzDbOHUd6qgxsOTR+G+xNGswO4IhcPIzXgqBRGcbfS7ahQP0zXp9Zhut3rHkZuA7hGDQmjfY14xjgxjNrLCd/cMHobn+5ur1VhcBymx0+Hw0jNby6E6XHq3TDi2cSpLy/D4DGMZLeczyWchn5p8O5eUDjJWe6gDOEY54Xr864crvv7FuEULL/6hFNlHgZHjw2n4dsm79g3P5zG1eUKvTFc99OHw0kNc8+F07P79U8OvRVODZeP+B3wLFyPw9+FUxU5cY4Pp7NyeSclnNR82zeCDoypZXwIiUD5ROjxSq4Ikqs9S4tGUHe1gBBB7+Twp1YEtfa+GVm3WQRx61b/TccIqq86hgji0cxl7xERevw3OYJOy+nk/Agqvv8y9ygRpNaPtkWQmpcfjNDj0rMRlP5uLz5kBC1dwl9PIkit17yN0L6+R5C3GnBHUN3ZFzK99I7U41d7JFVIxzOsdJF08l25u/NzRFJROaAuEkl7BvBMvGwk5Sx9enT1mpGk5i9NIsl53f6zV4dIWszDcLfekRQsC3xYJE3LyDPHSZHkyR87PDeSuLcKr74yUreLWyKpL9+2Xgci6bN3u4uuZyKp461pLvOvR5Js9jM8jtTu30QSq6lTKTaS6qZWyrYuMZLuPOYJd2okcafuaODjIPlr24McVLtjmUDPSAfdLDN8YssMDqoVcTT1QHYHydGDrYCDhsuCL+FAO+kgtXxT3UFJI7se71/fodun5g5S6x4dHDTYnyV1d5CaF/d30MOAhY+KjnBQQznRneAgnhxe/TDDQQ1kB7LQQXKUvGSlg3g2Vjh+o0P73OWgMVnOTtx0yEEu8uu0Q7cvlx2Uupdv3G0HsdZuvk8clHtG3/Kdohy0vdPu4yc/OiiXBBTvoM8n/HuO/OWgp+24xJMcul9KdVCTVq/6H3Y3iFuP7el8DFLz5wCD5Ow3PsigCcNv72saalCFpK+fT0caVHDVxLG5nAbG0Qap5ZUsBvoZg1jLmRt5DXKWXPCnUCGDtt/liRynXFUsWdigi648cuZU11vE0ONozp5yYFjUoOTWy4Ze5VTzlmIGhc0avOo25/osPPEpblB+OezmlNG0hEFq/ZFzS8ssK5qXNKgoN1MvOeUwrW0pg+r+ry8PyQx6dYwbotIGda/PLRSnbKZ6ljFoEl9NHGeIY1m+/sLQ7Qun8kaGbr845bejyxr0MC0fuZxBHZjtRE7ZCvqWN2ik/A/OgJ78rwqGbg85+az+hlY0aH+hq4FLONX4opKB+bdBLfh/M1Y26ONcHkhxqva1ikEectmUc07T2zPzVOXylH+IUzYvhapxecoJKKcc3peobpC8rBOcal2sBpenPCFOdfiaXJ78a1c5w+S3tQxa93x209uc+fundqtfm8uTq8dDzuryP+oY9KQE/4uzEw8rWtc1SC6+RnOOduWZbD2D0sgL5ORS4wMYej7GebA1l3gDQ49rOOXZD25oUCtZEJyqHjYySBana2ND9xOcahzZxNDzas6dfLqBTQ0qqU7IIHl4ezOD5K8t4lT9TnODeqsbb1AKccG2MGgal8Y6TrXe1tIgtfzUEvW2laH7Mc6a8ga0NvS4ibOLPEAbg2T1OcY5TlaLtoYe73Oq29jOILUKzXlYFnt7Q68rcKpi6mBQG1nhONVldTRoqCowg3zkaXQySK87GqR+rbNBu1/KimmQWt/uYhDXEs+vnGpe+Z9Bb0vJ/zBI1uKBXQ2Sd+sPp1pX72aQQ90Ag2R1HNvdoMLyAD0MktVnMqdqv3saevzIWVI2KL24PBcfWzibU62P9+bylMvZnL1lB9KHy1NOezl51hCfri+Xp5xIcar5ST+D1DI2p+pH+nN5ymaKU40XBnB57vvU7wDnz2o80BhokFov51TriYO4PIP5SJxydb7CYAPjDy7Px98Tqg3h8pTdDqfqz4ZyefKfuc9ZXQ5jhhkkf/yUUzbXTYcbep7OuWs+D3BGGHp+xLls+aVaHUcaup/nVMvJoww9PuK8LZfXRhvUUi6ocar+fgzXzzM3biVxqsOMNUitt40z9HiLc0c6+Q+D5OrqVM7LtfhMJhho1w2KHiH/ApcnD8cWcqZs51+YxOXJw+blk9DeTuby7McTQc4CcmFuikFyWWQzZ011YC7POzxw51TDj2lcnjxsPsA5drEcsBgki+MY5wq+zDIzuDxlA8wpf7vCTC5P/nOXONX4fxbaZ045vKkz29DjHE7v8ed+N5pjkBxWPuXMuG+11XKuoceNnKXkBc3j+jmEf4GzseqgDYrZfGXIF07VDy/g+inXSTnVOHQh1095YM5NK+MfDFtkEM8mP/zjVMW72ND97RKDVHFwqnHtUkOve3DK0wpeZujxAOcqPkz4ckPPPziPZOATXWFQZfkPzvt1eCCy0iD+K3wmBsWO6vEp+yqDhssC51Tju9UGqecBnGodbI2hxyWcsjqVWmvQdfk4ilPe/nLrDNLr0oaet683yNVdPpkwSBZvrQ0GmfIGcm7h4miw0aAi6gQMvQ6zydDjI049nzb0+henGp9vMYgrY49PnLJW9tjK/ZAla6RB6vnHNoPUOj5nVVng2w093udU1XiHodfjdnI/JKsdp1rn3WXocS2nWm/abZC6rZzydoXu4X5I3gZOdTf3GqSKjXOgKiCD1GVyytPPup/7IXlanGr+dsDQh+G8yP9d6CD3Q/JEOblW8j8MUo+JOP8yMzpskFRzjjNUFTj3Q1wKVzhlNa5x1CBZPW8dhfNjBj2Wy+7H4Pw490N8+59z6udPcH4Czk9yPyQr2Ek4PwXnp+D8NJyfhvMzcH4Gzs/C+Tk4Pwfn5+H8PJxfgPMLcH4Rzi/C+SU4vwTnl+H8MpxfgfMrcH4Vzq/C+TU4vwbn1+H8OpzfgPMbcH4Tzm/C+S04vwXnt+H8NpzfgfM7cH4Xzu/C+T04vwfn9+H8Ppw/gPMHcP4Qzh/C+SM4fwTnj+H8CZw/gfOncP4Uzp/B+TM4fw7nz+H8BZy/gPOXcP4Szl/B+Ss4fw3nr+E8Cs6j4DwazqPh/A2cv4HzGDiPgfO3cP4Wzt/B+Ts4fw/n7+H8A5x/gPOPcP4Rzj/B+Sc4/wznn+H8C5x/gfOvcP4Nzr/BeSycx8L5dzj/DudxcB4H5/FwHg/nP+D8B5wnwHkCnP+E859w/gvOf8F5IpwnwvlvOP8N53/g/A+cJ8F5Epz/hfO/cJ4M58lwngLnKXD+D87/wXkqnKfCuYupnXMq566mds6pnLuZ2rm7qZ1zKucepnbOqZx7mto5p3LuZWrnnHr9wtTOOT/s54m6j0kDanxvs5JTPZ/0NWn2MP4kp3LuZ2rnnHo91NTOOZXzAFM751TOA03tnFM5T2Nq55zKeVpTO+dUzoNMrFuY2nmwqZ1zKuc2UzvnVM7tpnbOqZyHmNo5p3IeamrnnMp5mKmdcyrn4aZ2zqmcR5iYP5vaOadepzK1c051WoapnXMq56apnXMq55apnXMq505TO+dUztOZ2jmncp7e1M45lfMMpnbOqZxnNLVzTuU8k6mdc6p13P+Z2jlna/kgJrOpnXMq51lM7ZxTOc9qauecynk2UzvnVM6zm9o5p3Kew9TOOZXznKZ2zqmc5+LybLB8xG/OQl/8Zg/LbeL5mqmdc+rntqZ2zqmc5zO1c051u/Kb2jmnmvcX4PJ81KLKUk7lvKCpnXOq0y9k6ud5nMp5YS5PuQ+Fc2Fyuyt5i5jaOeeenPzRoqZ2zqmcF+PylI9dOZXz4qZ+jsXpKv9wCZNm1qnU6xqnXN6vVdLU6/KcReTCZimT1PInZ13+WLPSXJ4v+Iuzm4RUxqTfAcfcYjgnMrfOgsuz1OKsnzjV9hXi8pQf5FTP78uaVGVpvT6/OB/KbRXlTGp/Je/CZE61jlyey1MesAKXp4TJqZ7HV+TylA+QOdU6YiUT645wXtmk5hb/5cpwXgXOq8B5VTjnlB/LWs3U67icxcpFnshd3SS1nYizvtz4VMOk1z5c0JxqH05NLs+i/EFOtS5ci8tTPkDmVOtWtU3KJ28I54ncfMF1TP0cnlM9f6prkto+xClvR5N6Jo3mYn7GGSgLpr5JsliiOLPJ7QcNTL2uyClPr1tDk27zn/3G2VIWYCNuN/ljCZyD5FdjbjflRgpOtf2riUny8bZLU2435f4VzhLyQpqZpPbtcKr1zebcbhbkCs2p10tNSuFqtZBzahJfcEtTr29zbuDbm66VSWofE6d6nt/aJFnMmznV88I2pn6uzqnWy9tyu8mXsZ9T7fNoZ5L8s8c41T6s9txu8sfOtIfzDtxuPtvb6FIHOO/I7SZzu8E5VBZ0J2435YVwcuntbdTZJFmdn3Du4mraogu3m7LCcMpq1e4/bjflBXOq7ShdTVL72jhT+bb16sbtptw/xCmLeUB3OO8O5z243ZTbtjjV86+e3G7y6Xn04nZT3mBOtU2ut6nX/Tn1erNJ8vHA/D5w3hfOOSUjqx+3m8xjNad6jtAfzjmHywo9AM4HwPlAk2R12TsQzgeZ+rkEp7xtpQbDOafaTjMEzofA+VA4Hwrnw+B8GJwPh/PhcD4CzkfA+Ug4Hwnno+B8FJyPhvPRcD4GzsfA+Vg4Hwvn4+B8PJyPh/MJcD4BzifC+UQ4nwTnk+B8MpxPhvMpcD4FzqfC+VQ4nwbn0+B8OpxPh/MZcD4DzmfC+Uw4nwXns+B8NpzPhvM5cD4HzufC+Vw4nwfn8+B8PpzPh/MFcL4AzhfC+UI4XwTni+B8MZwvgfMlcL4UzpfC+TI4Xwbny+F8OZyvgPMVcL4SzlfC+So4XwXnq+F8NZyvgXPO1yfTLC+4lstTbmjllMvSxdfB+To4Xw/n6+F8A5xvgPONcL4RzjfB+SY43wznm+F8C5xvgfOtcL4VzrfB+TY43w7n2+F8B5zvgPOdcL4LznfB+W443w3ne+B8D5zvhfO9cL4PzvfB+X443w/nB+D8AJwfhPODcH4Izg/B+WE4PwznR+D8CJwfhfOjcH4Mzo/B+XE4Pw7nJ+D8BJyfhPOTcH4Kzk/B+Wk4Pw3nZ+D8DJyfhfOzcH4Ozs/D+Xk4vwDnF+D8IpxfhPNLcH4Jzi/D+WU4vwLnV+D8KpxfhfNrcH4Nzq/D+XU4vwHnN+D8JpzfhPNbcH4Lzm/D+W04vwPnd+D8LpzfhfN7cM75+2yHrW3uc3k2u3f8Dac9vuytTg+4PKfsjvrIqbY9PuTyPDzD6zun3gcD54/g/DGcPzFJbRN/AudP4fwpnD+D82dw/hzOn8P5Czh/Aecv4ZxT7dd4xeWpHpCbpLYNv+bylBfwGs6j4DwK/Xk0+vNo9Odv4PwNnMfAeQycv4Xzt3D+Ds7fwfl7OH8P5x/g/AOcf4Tzj3D+Cc4/wflnOP8M51/g/Aucf4Xzr3D+Dc5j4TwWzr/D+Xc4j4PzODiPh3POcHnDfsD5DzhPgPMEOP8J5z/h/Bec/4LzRDhPhPPfcP4bzv/A+R84T4LzJDj/a+rnmpz6eS+X56QJze4lw3kKnHPq/c6m3gfBqd47SIVzTr1vytLOOafzd71cLYrs98gWz6n3Q1pUSG6U4DxTPFO1Ye4WqcNyPuePj/Gw6D8ZnpZ+ns8pd4H6eVkUfOko13SLVrbKfi3I26Kc8gOcR7j6h/lY+vk3p9p+5GuR2m/Oqfbl+FmktpNy+hp8BH+LFu4N6LOdM5PcaBpg0Z6ojwv2cpaRBRJo0bUg/oOcav9RGks/h+eUl1M2rUXyNC9wzuQ/XyXIIkOdmEXy47WCLb0/hFPtV7dZpHhyvpzHBWy3qJu8AE7lPMTSzjmV81BLO+dUzsMs7ZxTOQ+3SG4T/8XZXj4wjrD0/lhO5TzSIn9ZIA6LFnMxTuBUxWNYel8eJ8nLMS2SpzmHU+/bsugDH3YRp/q40yIZKzmV83SWds6pnKe3tHPOC7PkByyS28x2c6r+PKOl+3NO1Z9nsmgyV6/jnKHyQP+z9L4ZTv0eikUn+CyucKr9v1ksksV9i1O/j2CRagY51XPybJbe18ep9t1mt/S+Uc4DfNgOOSwqxx9/zymja06LWv4rn/SV8xPf7T65LFL7xzk91QVYNLcFf4BTbr8dkcciVa3zWlRCVRSLVDXMZ+n9dJzRstrkt0hWh1mcej+BRVP59i3gVM4LWqq4l3OqfYOFLDolhzuc6rILW6S2FXGq/f9FLJJ/fienOmxRi9Lyx/dzqihmUXZZQTkPcateuriln+NzSk7lS1jUWn6AU+1PKmlp55zKeSlLO+dU+4xLW6S6B07lvIyFfWOWdi4sigmRN8zSzskiWYyfCc7LwnlZOC8H5+XgvDycl4fzCnBeEc4rwnklOK8E55XhvDKcV4HzKnBeFc6rwnk1OK8G59XhvDqc14DzGnBeE85rwnktOK8F57XhvDac14HzOnBeF87rwnk9OK8H5/XhvD6cN4DzBnDeEM4bwnkjOG8E543hvDGcN4HzJnDeFM6bwXkzOG8O583hvAWct4DzlnDeEs5bwXkrOG8N563hvA2ct4HztnDeFs7bwXk7OG8P5+3hvAOcd4DzjnDeEc47wXknOO8M553hvAucd4Hz/+D8PzjvCudd4bwbnHeD8+5w3h3Oe8B5DzjvCee9LOwHtLBfCc57w3kfOO8D533hvC+c94PzfnDeH877w/kAOB8A5wPhfCCcD4LzQXA+GM4Hw/kQOB8C50PhfCicD4PzYXA+HM6Hw/kIOB8B5yPhfCScj4LzUXA+Gs5Hw/kYOB8D52PhfCycj4PzcXA+Hs4nwPkEOJ8I5xPhfBKcT4LzyXA+Gc6nwPkUOJ8K51PhfBqcT4Pz6XA+Hc5nwPkMOJ8J5zPhfBacz4Lz2XA+G87nwPkcOJ8L53PhfB6cz4Pz+XA+H84XwPkCOF8I5wvhfBGcL4LzxXC+GM6XwPlSOF8K58vgfBmcL4fz5XC+As5XwPlKOF8J56vgnFO9VrnaIrktdiPnwi4HI7Kv4fKUb4Nyqvdo1lp6vzynej9unaX3mXG++1lzUsn1cM4pf63sBjjfAOcb4XwjnG+C801wvhnON8P5FjjfAudb4XwrnG+D821wvh3Ot8P5DjjfAec74XwX+vNdcL4bznfD+R443wPne+F8L5zvg/N9cL4fzvfD+QE451T7Iw/COad6L/MQnB+C88Pcbsr34DgnlfQYVvwIt5tywyDn2q5Rq8RROD8K58e4PPPnfnSZU25Trn7cog7yxbzjcH4Czk/A+Uk4Pwnnp+D8FJyfhvPTcH6Gy1O+JnkGzs/C+Vk4Pwfn5+D8PJxfgPMLcH4Rzi/C+SU455RvMdsuwznnevka4BWL5GUtuwLnV7k8+TTWcKr3kq9xuylfKOFMkK8pX+d282jPojs508iCvcHlKd/vvAHnNy1S789xqvdlb3G7Kd+T5JTVtvxtLs+Bb65e5BwiD3DHIvk273XO+Vwt6tzl8pQvzHCq98bucXnKF5A5r3Cxt7jP5VmQBXCqfeIPuDzbFR73lvPfH76hDy39/gtnpHyN7xGXJx8+jlP+Wv/Hlt53zllL3vgnln5vgfM/eeJPuTyZlcczLs+3DIwzeATf6eeWfu+Kk5VNCHph0eHyfIGcleQBXlp6vymnel/zFZfnGq5Ir+D8NZy/hvMoOI+C82g4j4bzN3D+Bs5juN3kw5+MgfO3Fslvz3Oq98becbv5mQuWs7A88ffcbjr4PzjVvtwPFqnXkzm7cfVu9tHS+3451fuWn7jdlAfgVPtPP1t6Pz7nMb7d3b9wuylvFKd6n+mrRbLYf3J+l9v4v3G7KUF8Q38eC+ffud2UBcaptgfHWXjPgNtN/rU08ZZ+vZ7zQ3o+8g9uN2XBcsq3hBwJFs16z//BaY3if/3k8VEY3+mfcP6Lx0cV+Qb8gvNEi2Q1282p3jP5Dee/4fwPnP+B8yRLv6fIeYKLs+JfOP8L58lwzqneV0/hdlOeEKc8fJN/ln5fi1N+2yrVItbTNYqznCxYFyfdMvk3OCWrrq5O7ZxTvffg5iT1fj2nei/b3Unp5AVyymo2wsNJsvq4eDrpknw9mlO9R+HlJHkbp3D2kgXh7SRZ7LM4lXMfJ4VLEJzKua9TO+c8xafr9HNq55zKub9TO+dUzgOc2jmnch7o1M45JauiaZzaOadyntapnXMq50FO7ZxTOQ92auecyrnNqZ1zKud2p3bOqZyHOLVzTuU81KmdcyrnYU7tnFM5D3dq55zKeYRTO+dUziOd2jmncu5waueGUzvnVM5Np3bOqZxbTu2cUzl3OrVzTuU8nVM751TO0zu1c07lPINTO+dUzjM6tXNO5TyTUzvnVM7/59TOOZXzzE7tnFM5z+LUzjmV86xO7ZxTOc/m1M45lfPsTu2cUznP4dTOOfU+c6d2zqmc53Jq55zKeW6nds6pnOdxauecynlep3aez6mdcyrn+Z3aOadyXsCpnXMq5wWd2jmncl7IqZ1zKueFndo5p37fwamdcyrnRZ3aOadyXsypnXMq58Wd2jmncl7CqZ1zKuclndo5p3Jeisuz+KwVVzmV89JO7ZxTOS/j1M45lXPh1M45lXOCc4LzsnBeFs7LwXk5OC8P5+XhvAKcV4TzinBeCc4rwXllOK8M51XgvAqcV4XzqnBeDc6rwXl1OK8O5zXgvAac14TzmnBeC85rwXltOK8N53XgvA6c14XzunBeD87rwXl9OK8P5w3gvAGcN4TzhnDeCM4bwXljOG8M503gvAmcN4XzpnDeDM6bw3lzOG8B5y3gvCWct4TzVnDeCs5bw3lrOG8D523gvC2ct4XzdnDeDs7bw3l7OO8A5x3gvCOcd4TzTnDO+X8vi/D4</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="308">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0K9KQ1EcwPHJxNdw+AQGi20Ws2EsL4lhQRAEQfAWg7AwDD6AgkXDonE+gk3bijZhUUzi+Z0b7mVu4p/2+ZQv595zzj3nNhoAAH+g2G7/6v2i+YvGP/3Ofyu67fnv83m/ul+9k97sed8ed6v7dM6jg+vo6jh6/5A6uXhJHXfeUh/vlrY+O3pupu5sLqdOD95j3d5rdPQUHeb91m6iK1fR28vo+iDaO4tuDPP4KK8/zOc/qXa6n9cfR1unuf3a8351fnnv8nn5P8rW5xW7+bsAAAAAAAAAAAAAAAAAAMAsH93PRNM=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=173.082 Q3=111.000 sample=42 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="13932">
              <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>eJzt0bENwjAQAMCMlpIRUiIqKgqqlJEQPSMwWkZgBApjS37HioQoKO6al+3P+98ZBgAAupbDWMW438vv1pvq8+P1yzo/7qv0cxo3Y7yve/9nvmbOUKepf66/e17qmN8pr/fmLn3szF3uD/l5/ZhTfN1SnO8prku9H+ft/odpe7/JC+8EAAAAAAAAAAAAAAAAAAB/6g1lajVK</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=174.041 Q3=88.000 sample=42 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="13932">
              <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>eJwt22VAFU0bBmC6UTiHPLt7rM/ubuexu7s7Xru7u7u7u7u7u7tA7EAQRRHke2bm5s8teFh2Z+ea2tkyed3q7D1bTYx5teRNbFwLsfNx64G1nZ3EsjPxSRvP9RAVHpwVo/b3FUerBrjlnDRQ7BsWv7tOt6Eix/eS/ZJLjxTUbEqnaXPGilzGuSkPAiaKRiN2Hmw3agqON108XF1ucpkCs0UN9YM5OM5Ckd1WvGtf5zKx6GnHu0cOrBInl38ZEjx6rchXY6NfpcwbRPjcjQ2Wj9gsnvzI6JI553ZR42uBj8+f7hL/q7ml2N/ve8TVxrEte//YJ7bvkCd8UMxwP9t2+LbDYuGMqPNdvY6JUifqLcww84To8yuq4Be/08Le9ty9nB3PiAPX1vfrduqsaFxkon1b5HnxZ3XnfZ/6XRDL/KvWz3Hzoig9MMeP/7JdFq9e+8/bMvaKGFNd/uGrItPBm3ezFb0uLqTf3bfLnBui87Q5ts2fbwqPYcX5FG+LhvlybLHfvi02vnUMKTjijkhcKg94V9R7UTV/7kd3xbq5JVxrjr+Hcrsvjj6dmtIx8b6oduHJpFu7H4g7GZ/9Gdn1oWgbmGP8h0yPRHzi4DT1XjwSY6MvLT628LGw3wjLlLnOE7HuUMcdM32fihyhndOVOfdUHE09sGXT8Gei+iePQsFFnos7lb02no59LtoWkGf0QsSb64/Oa/dSDB66IVd585Xw7ZhwcPuDV+LGpjXpp1V+LbLEjFt5Y+trkdRUBBVMEyVu3koas7hPlMga8CL16f0oMbrKqRFWsWjxZPyav62XRYsCZ8YNWfsvWkzjs49p+0bEFK8yIOuFN6LC7kXzSueNEdm/Bp7MtyRGTG7f8nkl97eix+p7XiV6vEU5vBV76y+pXb7sO7FodtqhRba9E4lerRfXCH0vnpWXFe29KHn0f1ENP74X6VUBfhCje3zK3vrEB9Fxa5sG9bJ+FNXePxxZcc5HkfNO9/z13D6JuWOyc4l+En/yv9uZOeaTaB29tkfahp/Fxbmtc/258FnkLm9+ji7yRcz78XjL9U1fRNK6BV0ORnwVbfloq6d8FZc80r6bkvRV5FEV45uYy3d14Jtv4mev8QWGNo8VUe86p9D1WPGmecXuKzJ/F4uzfnrl0/G7+Ccvf813ca4Dn9jd76LYnqUs5rtYWOlIhn3p40TY32vfrpSPEwt2vTz2ulOciHDN1rTtjDjRrvHo5912xul6eytOLP9YvcX+r3FieuZTTeL948VwdePihW3c6atrKsaL2PWLF3brEC+uXezdrvC4eLHpQ5U8qWvixTi/DEmXT8eLNnyVc1/Fi1K17sxp8S9eRPTe0jKL9UMkzJEF80Pc3tf055FmP8SOB/n5zv3Affwhzt5O2VXzxA+RvCXubs3oH2Lwu9/DSnkniD2nvqwslStBfF78+kypugmi84P3XXMOTBCrdz6bkXNZgpCl6TidIBqdf9jU8TZBzFpxdbjD76c4VqPEoV85f4oNfLoxNX/qetjrpwjZWTlq6PyfoknIFLPwkZ9i2VCW++Kn+LXoxbxJnr/Ew2Hhz5Nz/RJBXBvKNP4lvEPL8an/EuMG9q96dtsvMTR49NzQh7/E/rSr2jZ2SRSqeuVI1PWzQaJo45d80xyVKJps8OZLTxRz1mV5v+deori2puLBHymJwmN1hwmFs/0WZVaOazCo3m8xePnaTEeG/xbv7tWZfWHdb7G4pyzp36Kq7/0Bx+J+o378EXwyzfeIP8I9plW/DP/9EeUTTxX5Of8Pyv2P8BqzoPy0L3/ER1evFl3Dk4SsRUXLJYlBuTOkS+ieJCaO+tcl89IkEbnY7VTBS0mia80fM+snJIljbvKAf0XA4ft55tX6K1r2uPBv77C/YmdGbmA2/xWpjzaujH/wV9SZsainzT1ZrJHNZ75kUaj59PnUMllMCBrRoc3UZPHwQo9Cow8li6zDWnmsjkkWg/PVvn8qOEX4bDebdSiZgnqaIrKpBiNFbIvMtavX0RSRZ/bq3/nfpYg9XlzQwf/E6+XBG06U/Qf3/1Cv/+n7f+efmPt9a4KLe6pY7/Hp6ItiqeJgRPYxR3umimqNmozzW5Oqnd5LFc0cbyded3OhDdFfznWOcCH/p3cy++Z1oZvtNxVYVcmF5nwdLgq3cqGGg+rVuDbAhbQHFypmfQv6ssGFDk3aOmHUSReaN77xBu/HLqTaxe8u5MbFu8jXlY5UelmjdUZX6jOpTd6sJV1p05BL2UvUcyXVTHR1pSrHa3fpPtaVuNEf0GeZK+l+y5VqGx/2j7npSk1Vw+pKx18zaBc3GrSkf8+v4W50z13eCTfK23Od6/GKbvQxS36f7S3caF2mI8mT+rsRd4ZhXWe4UbVh4/LW2OhGrHRa5lNu9D2sSp3kx26UUJlbojg3auifmnzHz50qZqxc82Ymd9L3wZ2uFY7vlFTPnWaeutRvdld3Us3kWHdS3e5Sd9rZPSBro33udHPy3Zevr7mTrIZ93rrT29vcIfxzp/TmxUNTIzyoeef/5hsFPKhoh7D966p70K2yW0tm7+RBshfYOdqD+K9XK7TMg3R/6kF5D/9pKm570FIfY2Wrjx4ke9UBbp7U4OTQ2LGGJ6n+s6AnqeayuifJ3jGynSdVYjX3B3tS1vd76i+Z5UmrSuW6v3SjJ8la3eiEJ3Epedrue5LqNz55kvLq6kVTEn1n1Izwoi7duWXJ60Xyry2t4kX/e5m1UJG2XrRm+suFB4Z60Ygp0w6Wnu9FTScWe3hhhxc9KhRbrOIlL9qXf3mTG6+9KI/q4L3oW2EeAYR4U5ysfnm8yWjgc6dyJW+qmGKsmd7Km3ptzNvnzkBvGpW+kxk005tm8OFLbPSmlSH3+s447k3cGZY6cdebup1aWyXmgzet48v0T/Wmpwa3sKE+ZLv6oUfTnD705W2HW9PIh/wl6wY+1NV9RZHb//nQlbdi/auRPpTtcnRw7Dwf4s5id9QW/PykD6nu8Z4PqX7lvQ/J2/Q4yYcmxe3IeDCNL6l+N6MvJZfmhqeoL20OWjsroIYvNXizYdn5Nr6oX74U1/56y+qTfSljyq8Br5f70i/3/G9G7/alK37d6mQ470tR+U42PP/Ql1T79tGXel1rZtmTffF3/GhVOEPK4Eeh06vxCMCPcu9dEbupkh9lzS9roB9l8d1VLW1vP/LbO/j83/F+xI1ZtQtL/OjUx96T2uzCz8/7UWLOqRVmPvWjt23XPCwU60ey9b3r7k8fKrpUaxThT8k/uKLn8ifVDpO/vv76/nT+d6Pg5p399fUP9ad7UWnOtJrpT9zalHi+xp/UuOSgP229zgOOa/6k2o0of33/fvnTgxV8wwID6JkcDv0vgFR/XzqAMtd59PViwwDqHnMjIXPPAFKnPzGAlp48X/HZygAq/XZbYp7DATT2BA8c7wRQeCb5GwH0fdPF6kV9A+lyri6VF/0vkJ7y6ConBdK+gD7bpzUPJDVsGxhIhwweAc4LJNnbZN8dSDeuy69A+iMv52Mg9Wy6rf1Y7zQ0PrD2rvmZ05AslWIV09DZ8Cz1Pdunoegm4YfujE5DHo3ScJGnIf7purlH0xC3ChH9HqUh3d6nIXVbgtPSbvf307PlTktyVDS4eloK5NN51iUtsaYQMTEtdVs6aPnadWmpjGoY0lLQ+enuZ6PSkvqYSxA9blFlab3gIOrJrT5lDKL7MaUG5igYRGqcXj6ICsiOp0EQyeFFng5B2ln/IOovAYwP0uczP4hON09fNm5dEG04cSY8y74gmpqu/bdmZ4NIjePvBBEPPt3rvw6iKwNPrnLEBlGgZ9NS0SlBVE9W9IBg3b4awfRsVzZb8RzBtHNO0XuLigVTqwXONqcrBtPLPlNnxtQLJtX8tQ6manLg0C2YIqqP3BMzKJjUMHp8MKnh1+xgGiuHb8v592QzsTmYZDNabX8wFZcd3Olg6sSjXef1YPQLwbSLhyHGm2DdfnwNpg6yQH8H08ri/5y3XG2kmkl/G7VduXlUphAbNb93/E2IZaPMPKp0zWLT/UEeG1XNk5ohpYiN+nWRPZNN3+/KNlrSh4pNr22j+e2a7ZzT2Eaz83PBtrbRdJf523d3slGTzYVvlOxp0/VzgI22jMo0/84wm67vY2zEd2ds9CQbefDt/jrDRpPCntxMnGejZ86tYf+W2EjNc1bbqOz1YunNjTZacN+3S8btNpKTm2x7bdSDu4OCh22kpgknbVRBfp23UeyVc+V2XOHz49Fz2C2b7t/u2+hbs3JlPjzhn8vh2isble9UtuTRGP7559PFM33C9cTyz+X4JYF/LrvhJBupYUkq/1wOLzzt9FtON3zttOM/voNp7KTG1XY7Ve77J+3HcDsNkRdu2OmZ7F7S2SlQTugy2Unwb4/MaqfVgitQTjvdzcwNTl47echutaCdinD3Zytqp0Wps0f+LWHX7WcZO8nh8blydmrxJKLW9kp23T9Ws9PpDQOX9K/F3+fkCWVDO+XiZmlpCzvJ5npbezup8VpXPu6NkrXu9LETV9ZB7wbbac0e3/KJo/h8eBbjM8lOL3rykWfaaZvsPhbYSc7uyiy3U72qK0ZnWWvX9WQbH79jZHSTQ3b63oYrzDk7HWiRqdfGW7jeZzi/d3btI85OP/aNTN8p2a77Le8QmpGNR6RBIdRPFrwjhLLLDjpTCL3K0e5zrtwhJFlsKBJCNWwshEL0eKZqCMnuOah+CPX82jhkSosQkt2bV6cQUsPZXiF0JvZ6XOLgEBr05urF3mNDKPejy8s+Tgsh+W27BSG6HFeG0KgnpflUQ3R57AmhL3zbqx0LobX7i/4+ez6EJsvm72YI8SjB5cijEJKzv/xRIbRtK399CtFOEkJIzbdTQujGhPXZQ71DaTzP8mYEhZLi5Ail9JMjvcdnCiU9Xg+l6b1C9wwoEkrl2tsnfhOhut2sGkrc2+R7XS+UFnTkGWCLUKouoXYMJZ78BtbuFUqHmcelwaG6HRsbSv/LNnL6kWmhul9eEEqneZS9a2UoqWn45lDK7Ywrs2ZPKL0JjrU7joXSEs+vH+aeD6Xafz6d8L8ZSl787fhHoXpc9zqU5PBj19dQsuS0NykU1xNGIztzDbOHUd6qgxsOTR+G+xNGswO4IhcPIzXgqBRGcbfS7ahQP0zXp9Zhut3rHkZuA7hGDQmjfY14xjgxjNrLCd/cMHobn+5ur1VhcBymx0+Hw0jNby6E6XHq3TDi2cSpLy/D4DGMZLeczyWchn5p8O5eUDjJWe6gDOEY54Xr864crvv7FuEULL/6hFNlHgZHjw2n4dsm79g3P5zG1eUKvTFc99OHw0kNc8+F07P79U8OvRVODZeP+B3wLFyPw9+FUxU5cY4Pp7NyeSclnNR82zeCDoypZXwIiUD5ROjxSq4Ikqs9S4tGUHe1gBBB7+Twp1YEtfa+GVm3WQRx61b/TccIqq86hgji0cxl7xERevw3OYJOy+nk/Agqvv8y9ygRpNaPtkWQmpcfjNDj0rMRlP5uLz5kBC1dwl9PIkit17yN0L6+R5C3GnBHUN3ZFzK99I7U41d7JFVIxzOsdJF08l25u/NzRFJROaAuEkl7BvBMvGwk5Sx9enT1mpGk5i9NIsl53f6zV4dIWszDcLfekRQsC3xYJE3LyDPHSZHkyR87PDeSuLcKr74yUreLWyKpL9+2Xgci6bN3u4uuZyKp461pLvOvR5Js9jM8jtTu30QSq6lTKTaS6qZWyrYuMZLuPOYJd2okcafuaODjIPlr24McVLtjmUDPSAfdLDN8YssMDqoVcTT1QHYHydGDrYCDhsuCL+FAO+kgtXxT3UFJI7se71/fodun5g5S6x4dHDTYnyV1d5CaF/d30MOAhY+KjnBQQznRneAgnhxe/TDDQQ1kB7LQQXKUvGSlg3g2Vjh+o0P73OWgMVnOTtx0yEEu8uu0Q7cvlx2Uupdv3G0HsdZuvk8clHtG3/Kdohy0vdPu4yc/OiiXBBTvoM8n/HuO/OWgp+24xJMcul9KdVCTVq/6H3Y3iFuP7el8DFLz5wCD5Ow3PsigCcNv72saalCFpK+fT0caVHDVxLG5nAbG0Qap5ZUsBvoZg1jLmRt5DXKWXPCnUCGDtt/liRynXFUsWdigi648cuZU11vE0ONozp5yYFjUoOTWy4Ze5VTzlmIGhc0avOo25/osPPEpblB+OezmlNG0hEFq/ZFzS8ssK5qXNKgoN1MvOeUwrW0pg+r+ry8PyQx6dYwbotIGda/PLRSnbKZ6ljFoEl9NHGeIY1m+/sLQ7Qun8kaGbr845bejyxr0MC0fuZxBHZjtRE7ZCvqWN2ik/A/OgJ78rwqGbg85+az+hlY0aH+hq4FLONX4opKB+bdBLfh/M1Y26ONcHkhxqva1ikEectmUc07T2zPzVOXylH+IUzYvhapxecoJKKcc3peobpC8rBOcal2sBpenPCFOdfiaXJ78a1c5w+S3tQxa93x209uc+fundqtfm8uTq8dDzuryP+oY9KQE/4uzEw8rWtc1SC6+RnOOduWZbD2D0sgL5ORS4wMYej7GebA1l3gDQ49rOOXZD25oUCtZEJyqHjYySBana2ND9xOcahzZxNDzas6dfLqBTQ0qqU7IIHl4ezOD5K8t4lT9TnODeqsbb1AKccG2MGgal8Y6TrXe1tIgtfzUEvW2laH7Mc6a8ga0NvS4ibOLPEAbg2T1OcY5TlaLtoYe73Oq29jOILUKzXlYFnt7Q68rcKpi6mBQG1nhONVldTRoqCowg3zkaXQySK87GqR+rbNBu1/KimmQWt/uYhDXEs+vnGpe+Z9Bb0vJ/zBI1uKBXQ2Sd+sPp1pX72aQQ90Ag2R1HNvdoMLyAD0MktVnMqdqv3saevzIWVI2KL24PBcfWzibU62P9+bylMvZnL1lB9KHy1NOezl51hCfri+Xp5xIcar5ST+D1DI2p+pH+nN5ymaKU40XBnB57vvU7wDnz2o80BhokFov51TriYO4PIP5SJxydb7CYAPjDy7Px98Tqg3h8pTdDqfqz4ZyefKfuc9ZXQ5jhhkkf/yUUzbXTYcbep7OuWs+D3BGGHp+xLls+aVaHUcaup/nVMvJoww9PuK8LZfXRhvUUi6ocar+fgzXzzM3biVxqsOMNUitt40z9HiLc0c6+Q+D5OrqVM7LtfhMJhho1w2KHiH/ApcnD8cWcqZs51+YxOXJw+blk9DeTuby7McTQc4CcmFuikFyWWQzZ011YC7POzxw51TDj2lcnjxsPsA5drEcsBgki+MY5wq+zDIzuDxlA8wpf7vCTC5P/nOXONX4fxbaZ045vKkz29DjHE7v8ed+N5pjkBxWPuXMuG+11XKuoceNnKXkBc3j+jmEf4GzseqgDYrZfGXIF07VDy/g+inXSTnVOHQh1095YM5NK+MfDFtkEM8mP/zjVMW72ND97RKDVHFwqnHtUkOve3DK0wpeZujxAOcqPkz4ckPPPziPZOATXWFQZfkPzvt1eCCy0iD+K3wmBsWO6vEp+yqDhssC51Tju9UGqecBnGodbI2hxyWcsjqVWmvQdfk4ilPe/nLrDNLr0oaet683yNVdPpkwSBZvrQ0GmfIGcm7h4miw0aAi6gQMvQ6zydDjI049nzb0+henGp9vMYgrY49PnLJW9tjK/ZAla6RB6vnHNoPUOj5nVVng2w093udU1XiHodfjdnI/JKsdp1rn3WXocS2nWm/abZC6rZzydoXu4X5I3gZOdTf3GqSKjXOgKiCD1GVyytPPup/7IXlanGr+dsDQh+G8yP9d6CD3Q/JEOblW8j8MUo+JOP8yMzpskFRzjjNUFTj3Q1wKVzhlNa5x1CBZPW8dhfNjBj2Wy+7H4Pw490N8+59z6udPcH4Czk9yPyQr2Ek4PwXnp+D8NJyfhvMzcH4Gzs/C+Tk4Pwfn5+H8PJxfgPMLcH4Rzi/C+SU4vwTnl+H8MpxfgfMrcH4Vzq/C+TU4vwbn1+H8OpzfgPMbcH4Tzm/C+S04vwXnt+H8NpzfgfM7cH4Xzu/C+T04vwfn9+H8Ppw/gPMHcP4Qzh/C+SM4fwTnj+H8CZw/gfOncP4Uzp/B+TM4fw7nz+H8BZy/gPOXcP4Szl/B+Ss4fw3nr+E8Cs6j4DwazqPh/A2cv4HzGDiPgfO3cP4Wzt/B+Ts4fw/n7+H8A5x/gPOPcP4Rzj/B+Sc4/wznn+H8C5x/gfOvcP4Nzr/BeSycx8L5dzj/DudxcB4H5/FwHg/nP+D8B5wnwHkCnP+E859w/gvOf8F5IpwnwvlvOP8N53/g/A+cJ8F5Epz/hfO/cJ4M58lwngLnKXD+D87/wXkqnKfCuYupnXMq566mds6pnLuZ2rm7qZ1zKucepnbOqZx7mto5p3LuZWrnnHr9wtTOOT/s54m6j0kDanxvs5JTPZ/0NWn2MP4kp3LuZ2rnnHo91NTOOZXzAFM751TOA03tnFM5T2Nq55zKeVpTO+dUzoNMrFuY2nmwqZ1zKuc2UzvnVM7tpnbOqZyHmNo5p3IeamrnnMp5mKmdcyrn4aZ2zqmcR5iYP5vaOadepzK1c051WoapnXMq56apnXMq55apnXMq505TO+dUztOZ2jmncp7e1M45lfMMpnbOqZxnNLVzTuU8k6mdc6p13P+Z2jlna/kgJrOpnXMq51lM7ZxTOc9qauecynk2UzvnVM6zm9o5p3Kew9TOOZXznKZ2zqmc5+LybLB8xG/OQl/8Zg/LbeL5mqmdc+rntqZ2zqmc5zO1c051u/Kb2jmnmvcX4PJ81KLKUk7lvKCpnXOq0y9k6ud5nMp5YS5PuQ+Fc2Fyuyt5i5jaOeeenPzRoqZ2zqmcF+PylI9dOZXz4qZ+jsXpKv9wCZNm1qnU6xqnXN6vVdLU6/KcReTCZimT1PInZ13+WLPSXJ4v+Iuzm4RUxqTfAcfcYjgnMrfOgsuz1OKsnzjV9hXi8pQf5FTP78uaVGVpvT6/OB/KbRXlTGp/Je/CZE61jlyey1MesAKXp4TJqZ7HV+TylA+QOdU6YiUT645wXtmk5hb/5cpwXgXOq8B5VTjnlB/LWs3U67icxcpFnshd3SS1nYizvtz4VMOk1z5c0JxqH05NLs+i/EFOtS5ci8tTPkDmVOtWtU3KJ28I54ncfMF1TP0cnlM9f6prkto+xClvR5N6Jo3mYn7GGSgLpr5JsliiOLPJ7QcNTL2uyClPr1tDk27zn/3G2VIWYCNuN/ljCZyD5FdjbjflRgpOtf2riUny8bZLU2435f4VzhLyQpqZpPbtcKr1zebcbhbkCs2p10tNSuFqtZBzahJfcEtTr29zbuDbm66VSWofE6d6nt/aJFnMmznV88I2pn6uzqnWy9tyu8mXsZ9T7fNoZ5L8s8c41T6s9txu8sfOtIfzDtxuPtvb6FIHOO/I7SZzu8E5VBZ0J2435YVwcuntbdTZJFmdn3Du4mraogu3m7LCcMpq1e4/bjflBXOq7ShdTVL72jhT+bb16sbtptw/xCmLeUB3OO8O5z243ZTbtjjV86+e3G7y6Xn04nZT3mBOtU2ut6nX/Tn1erNJ8vHA/D5w3hfOOSUjqx+3m8xjNad6jtAfzjmHywo9AM4HwPlAk2R12TsQzgeZ+rkEp7xtpQbDOafaTjMEzofA+VA4Hwrnw+B8GJwPh/PhcD4CzkfA+Ug4Hwnno+B8FJyPhvPRcD4GzsfA+Vg4Hwvn4+B8PJyPh/MJcD4BzifC+UQ4nwTnk+B8MpxPhvMpcD4FzqfC+VQ4nwbn0+B8OpxPh/MZcD4DzmfC+Uw4nwXns+B8NpzPhvM5cD4HzufC+Vw4nwfn8+B8PpzPh/MFcL4AzhfC+UI4XwTni+B8MZwvgfMlcL4UzpfC+TI4Xwbny+F8OZyvgPMVcL4SzlfC+So4XwXnq+F8NZyvgXPO1yfTLC+4lstTbmjllMvSxdfB+To4Xw/n6+F8A5xvgPONcL4RzjfB+SY43wznm+F8C5xvgfOtcL4VzrfB+TY43w7n2+F8B5zvgPOdcL4LznfB+W443w3ne+B8D5zvhfO9cL4PzvfB+X443w/nB+D8AJwfhPODcH4Izg/B+WE4PwznR+D8CJwfhfOjcH4Mzo/B+XE4Pw7nJ+D8BJyfhPOTcH4Kzk/B+Wk4Pw3nZ+D8DJyfhfOzcH4Ozs/D+Xk4vwDnF+D8IpxfhPNLcH4Jzi/D+WU4vwLnV+D8KpxfhfNrcH4Nzq/D+XU4vwHnN+D8JpzfhPNbcH4Lzm/D+W04vwPnd+D8LpzfhfN7cM75+2yHrW3uc3k2u3f8Dac9vuytTg+4PKfsjvrIqbY9PuTyPDzD6zun3gcD54/g/DGcPzFJbRN/AudP4fwpnD+D82dw/hzOn8P5Czh/Aecv4ZxT7dd4xeWpHpCbpLYNv+bylBfwGs6j4DwK/Xk0+vNo9Odv4PwNnMfAeQycv4Xzt3D+Ds7fwfl7OH8P5x/g/AOcf4Tzj3D+Cc4/wflnOP8M51/g/Aucf4Xzr3D+Dc5j4TwWzr/D+Xc4j4PzODiPh3POcHnDfsD5DzhPgPMEOP8J5z/h/Bec/4LzRDhPhPPfcP4bzv/A+R84T4LzJDj/a+rnmpz6eS+X56QJze4lw3kKnHPq/c6m3gfBqd47SIVzTr1vytLOOafzd71cLYrs98gWz6n3Q1pUSG6U4DxTPFO1Ye4WqcNyPuePj/Gw6D8ZnpZ+ns8pd4H6eVkUfOko13SLVrbKfi3I26Kc8gOcR7j6h/lY+vk3p9p+5GuR2m/Oqfbl+FmktpNy+hp8BH+LFu4N6LOdM5PcaBpg0Z6ojwv2cpaRBRJo0bUg/oOcav9RGks/h+eUl1M2rUXyNC9wzuQ/XyXIIkOdmEXy47WCLb0/hFPtV7dZpHhyvpzHBWy3qJu8AE7lPMTSzjmV81BLO+dUzsMs7ZxTOQ+3SG4T/8XZXj4wjrD0/lhO5TzSIn9ZIA6LFnMxTuBUxWNYel8eJ8nLMS2SpzmHU+/bsugDH3YRp/q40yIZKzmV83SWds6pnKe3tHPOC7PkByyS28x2c6r+PKOl+3NO1Z9nsmgyV6/jnKHyQP+z9L4ZTv0eikUn+CyucKr9v1ksksV9i1O/j2CRagY51XPybJbe18ep9t1mt/S+Uc4DfNgOOSwqxx9/zymja06LWv4rn/SV8xPf7T65LFL7xzk91QVYNLcFf4BTbr8dkcciVa3zWlRCVRSLVDXMZ+n9dJzRstrkt0hWh1mcej+BRVP59i3gVM4LWqq4l3OqfYOFLDolhzuc6rILW6S2FXGq/f9FLJJ/fienOmxRi9Lyx/dzqihmUXZZQTkPcateuriln+NzSk7lS1jUWn6AU+1PKmlp55zKeSlLO+dU+4xLW6S6B07lvIyFfWOWdi4sigmRN8zSzskiWYyfCc7LwnlZOC8H5+XgvDycl4fzCnBeEc4rwnklOK8E55XhvDKcV4HzKnBeFc6rwnk1OK8G59XhvDqc14DzGnBeE85rwnktOK8F57XhvDac14HzOnBeF87rwnk9OK8H5/XhvD6cN4DzBnDeEM4bwnkjOG8E543hvDGcN4HzJnDeFM6bwXkzOG8O583hvAWct4DzlnDeEs5bwXkrOG8N563hvA2ct4HztnDeFs7bwXk7OG8P5+3hvAOcd4DzjnDeEc47wXknOO8M553hvAucd4Hz/+D8PzjvCudd4bwbnHeD8+5w3h3Oe8B5DzjvCee9LOwHtLBfCc57w3kfOO8D533hvC+c94PzfnDeH877w/kAOB8A5wPhfCCcD4LzQXA+GM4Hw/kQOB8C50PhfCicD4PzYXA+HM6Hw/kIOB8B5yPhfCScj4LzUXA+Gs5Hw/kYOB8D52PhfCycj4PzcXA+Hs4nwPkEOJ8I5xPhfBKcT4LzyXA+Gc6nwPkUOJ8K51PhfBqcT4Pz6XA+Hc5nwPkMOJ8J5zPhfBacz4Lz2XA+G87nwPkcOJ8L53PhfB6cz4Pz+XA+H84XwPkCOF8I5wvhfBGcL4LzxXC+GM6XwPlSOF8K58vgfBmcL4fz5XC+As5XwPlKOF8J56vgnFO9VrnaIrktdiPnwi4HI7Kv4fKUb4Nyqvdo1lp6vzynej9unaX3mXG++1lzUsn1cM4pf63sBjjfAOcb4XwjnG+C801wvhnON8P5FjjfAudb4XwrnG+D821wvh3Ot8P5DjjfAec74XwX+vNdcL4bznfD+R443wPne+F8L5zvg/N9cL4fzvfD+QE451T7Iw/COad6L/MQnB+C88Pcbsr34DgnlfQYVvwIt5tywyDn2q5Rq8RROD8K58e4PPPnfnSZU25Trn7cog7yxbzjcH4Czk/A+Uk4Pwnnp+D8FJyfhvPTcH6Gy1O+JnkGzs/C+Vk4Pwfn5+D8PJxfgPMLcH4Rzi/C+SU455RvMdsuwznnevka4BWL5GUtuwLnV7k8+TTWcKr3kq9xuylfKOFMkK8pX+d282jPojs508iCvcHlKd/vvAHnNy1S789xqvdlb3G7Kd+T5JTVtvxtLs+Bb65e5BwiD3DHIvk273XO+Vwt6tzl8pQvzHCq98bucXnKF5A5r3Cxt7jP5VmQBXCqfeIPuDzbFR73lvPfH76hDy39/gtnpHyN7xGXJx8+jlP+Wv/Hlt53zllL3vgnln5vgfM/eeJPuTyZlcczLs+3DIwzeATf6eeWfu+Kk5VNCHph0eHyfIGcleQBXlp6vymnel/zFZfnGq5Ir+D8NZy/hvMoOI+C82g4j4bzN3D+Bs5juN3kw5+MgfO3Fslvz3Oq98becbv5mQuWs7A88ffcbjr4PzjVvtwPFqnXkzm7cfVu9tHS+3451fuWn7jdlAfgVPtPP1t6Pz7nMb7d3b9wuylvFKd6n+mrRbLYf3J+l9v4v3G7KUF8Q38eC+ffud2UBcaptgfHWXjPgNtN/rU08ZZ+vZ7zQ3o+8g9uN2XBcsq3hBwJFs16z//BaY3if/3k8VEY3+mfcP6Lx0cV+Qb8gvNEi2Q1282p3jP5Dee/4fwPnP+B8yRLv6fIeYKLs+JfOP8L58lwzqneV0/hdlOeEKc8fJN/ln5fi1N+2yrVItbTNYqznCxYFyfdMvk3OCWrrq5O7ZxTvffg5iT1fj2nei/b3Unp5AVyymo2wsNJsvq4eDrpknw9mlO9R+HlJHkbp3D2kgXh7SRZ7LM4lXMfJ4VLEJzKua9TO+c8xafr9HNq55zKub9TO+dUzgOc2jmnch7o1M45JauiaZzaOadyntapnXMq50FO7ZxTOQ92auecyrnNqZ1zKud2p3bOqZyHOLVzTuU81KmdcyrnYU7tnFM5D3dq55zKeYRTO+dUziOd2jmncu5waueGUzvnVM5Np3bOqZxbTu2cUzl3OrVzTuU8nVM751TO0zu1c07lPINTO+dUzjM6tXNO5TyTUzvnVM7/59TOOZXzzE7tnFM5z+LUzjmV86xO7ZxTOc/m1M45lfPsTu2cUznP4dTOOfU+c6d2zqmc53Jq55zKeW6nds6pnOdxauecynlep3aez6mdcyrn+Z3aOadyXsCpnXMq5wWd2jmncl7IqZ1zKueFndo5p37fwamdcyrnRZ3aOadyXsypnXMq58Wd2jmncl7CqZ1zKuclndo5p3Jeisuz+KwVVzmV89JO7ZxTOS/j1M45lXPh1M45lXOCc4LzsnBeFs7LwXk5OC8P5+XhvAKcV4TzinBeCc4rwXllOK8M51XgvAqcV4XzqnBeDc6rwXl1OK8O5zXgvAac14TzmnBeC85rwXltOK8N53XgvA6c14XzunBeD87rwXl9OK8P5w3gvAGcN4TzhnDeCM4bwXljOG8M503gvAmcN4XzpnDeDM6bw3lzOG8B5y3gvCWct4TzVnDeCs5bw3lrOG8D523gvC2ct4XzdnDeDs7bw3l7OO8A5x3gvCOcd4TzTnDO+X8vi/D4</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>eJztzjsKg0AUBdDZl83ULsEqYBcQxGzAJWQJLs2lBJxn5ScQMdU5zWUe8z4pAQAA7Jgeecm5LZmHkmMd2ZRMVd7tn7tSf48x5xV9z6j35/0/i3nrnd/+bfLi3sP3Xf61BwAAAAAAAAAAAAAAAABg6wNShRIR</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=174.057 Q3=130.066 sample=42 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="13932">
              <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>eJzt0r8rRWEcx/GzW/wBhvtv3O10Y7BJGZQipQzKJSIpXAZGWYwn00Hqbmwem8UmmbgyUPInqFvn8/2eeh53tHm/ls95nu95fpznPFkG4F8LC7kepi2bluNJziZ153UbHybjureL+fi93mIerd/btPq2sjyy/kPl8Iny0XLkVHlTKKe6yqFr5c+dcuxBef5UZTh4Ufv9o8q5+68qi8tv9d+qHUbV3n39VHbelOFZWdq8LVtn5kp5cWb7O1Y2dixXlBMbynzNvn9d2d4afA4+rrsaj8+WBtcbyzavnbufc5q+ru+vvW/1PWXZUfq5e9vX8/Ge6fz1fUn26f/bx3nd70d6T3yeur8Z19Pv9Pfqfdj8v+4xAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD4C30Ud3Lb</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=174.088 Q3=131.000 sample=42 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="13932">
              <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="276">
              <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>eJzt0LFKQlEYwHEfodHHuWtvoFu0NQUOYRBoSxEk+AYuIe45NLbnA+TmUnNjY+B3vuCei9AkDb/f8vd6rud8nl4PAACOrBk28eG0aq18vzuPNhel19Gzm/Z6trNffc4fm3P+zlt0zjk0f/3+gXlyPf/P4yL6vI5+vu37+vEefdjuO+1vYv3pJTpeRr9n0dV9mb/c13zSfs6eXJXeRb9G7Xbuv3R6GR3ctp9zv3r/XM/W5+T79Xl5T/k7AAAAAAAAAAAAAAAAAAD+jR9ERUbV</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=178.051 Q3=77.200 sample=42 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="13932">
              <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="276">
              <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>eJzt0SFyAjEUBmDO0iOUC+QIlUgEAoHgBrQKi8Ayg6FTwSAQaI7SI1RXIV6Smc2yXVX3feaf7L7Ny75MJgAMen9Lkel53pfpz7r7LHX2Oy669XW9btbzbl3pU/Yr74u2T3uO9vlYfc3c/3sVufvI328jV4fI18/IW87fS+TLOXJ6jfw5RX7tc/9N9396cxyZf3lf/6Nd57o616G5lD7N93Xe7XlG7rtXP3Jf7Xnrvc/S0/revAbODwAAAAAAAAAAAAAAAAAAAP/sAbSrVXU=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=178.072 Q3=58.800 sample=42 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="13932">
              <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>eJzt0DEOgCAMBVCOxuARnI2rt+DoLjJoUmqik763EBrafFoKAAB8XJvq8H63L6rXuT6a25Zx/1v1NFeQo9/7P6+y/0f7CnMc79ftPDfbe3ZmubK+LDcAAAAAAAAAAAAAAAAAwA/t9eAipg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=179.056 Q3=59.000 sample=42 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="13932">
              <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>eJwt22VAFU0bBmC6UTiHPLt7rM/ubuexu7s7Xru7u7u7u7u7u7tA7EAQRRHke2bm5s8teFh2Z+ea2tkyed3q7D1bTYx5teRNbFwLsfNx64G1nZ3EsjPxSRvP9RAVHpwVo/b3FUerBrjlnDRQ7BsWv7tOt6Eix/eS/ZJLjxTUbEqnaXPGilzGuSkPAiaKRiN2Hmw3agqON108XF1ucpkCs0UN9YM5OM5Ckd1WvGtf5zKx6GnHu0cOrBInl38ZEjx6rchXY6NfpcwbRPjcjQ2Wj9gsnvzI6JI553ZR42uBj8+f7hL/q7ml2N/ve8TVxrEte//YJ7bvkCd8UMxwP9t2+LbDYuGMqPNdvY6JUifqLcww84To8yuq4Be/08Le9ty9nB3PiAPX1vfrduqsaFxkon1b5HnxZ3XnfZ/6XRDL/KvWz3Hzoig9MMeP/7JdFq9e+8/bMvaKGFNd/uGrItPBm3ezFb0uLqTf3bfLnBui87Q5ts2fbwqPYcX5FG+LhvlybLHfvi02vnUMKTjijkhcKg94V9R7UTV/7kd3xbq5JVxrjr+Hcrsvjj6dmtIx8b6oduHJpFu7H4g7GZ/9Gdn1oWgbmGP8h0yPRHzi4DT1XjwSY6MvLT628LGw3wjLlLnOE7HuUMcdM32fihyhndOVOfdUHE09sGXT8Gei+iePQsFFnos7lb02no59LtoWkGf0QsSb64/Oa/dSDB66IVd585Xw7ZhwcPuDV+LGpjXpp1V+LbLEjFt5Y+trkdRUBBVMEyVu3koas7hPlMga8CL16f0oMbrKqRFWsWjxZPyav62XRYsCZ8YNWfsvWkzjs49p+0bEFK8yIOuFN6LC7kXzSueNEdm/Bp7MtyRGTG7f8nkl97eix+p7XiV6vEU5vBV76y+pXb7sO7FodtqhRba9E4lerRfXCH0vnpWXFe29KHn0f1ENP74X6VUBfhCje3zK3vrEB9Fxa5sG9bJ+FNXePxxZcc5HkfNO9/z13D6JuWOyc4l+En/yv9uZOeaTaB29tkfahp/Fxbmtc/258FnkLm9+ji7yRcz78XjL9U1fRNK6BV0ORnwVbfloq6d8FZc80r6bkvRV5FEV45uYy3d14Jtv4mev8QWGNo8VUe86p9D1WPGmecXuKzJ/F4uzfnrl0/G7+Ccvf813ca4Dn9jd76LYnqUs5rtYWOlIhn3p40TY32vfrpSPEwt2vTz2ulOciHDN1rTtjDjRrvHo5912xul6eytOLP9YvcX+r3FieuZTTeL948VwdePihW3c6atrKsaL2PWLF3brEC+uXezdrvC4eLHpQ5U8qWvixTi/DEmXT8eLNnyVc1/Fi1K17sxp8S9eRPTe0jKL9UMkzJEF80Pc3tf055FmP8SOB/n5zv3Affwhzt5O2VXzxA+RvCXubs3oH2Lwu9/DSnkniD2nvqwslStBfF78+kypugmi84P3XXMOTBCrdz6bkXNZgpCl6TidIBqdf9jU8TZBzFpxdbjD76c4VqPEoV85f4oNfLoxNX/qetjrpwjZWTlq6PyfoknIFLPwkZ9i2VCW++Kn+LXoxbxJnr/Ew2Hhz5Nz/RJBXBvKNP4lvEPL8an/EuMG9q96dtsvMTR49NzQh7/E/rSr2jZ2SRSqeuVI1PWzQaJo45d80xyVKJps8OZLTxRz1mV5v+deori2puLBHymJwmN1hwmFs/0WZVaOazCo3m8xePnaTEeG/xbv7tWZfWHdb7G4pyzp36Kq7/0Bx+J+o378EXwyzfeIP8I9plW/DP/9EeUTTxX5Of8Pyv2P8BqzoPy0L3/ER1evFl3Dk4SsRUXLJYlBuTOkS+ieJCaO+tcl89IkEbnY7VTBS0mia80fM+snJIljbvKAf0XA4ft55tX6K1r2uPBv77C/YmdGbmA2/xWpjzaujH/wV9SZsainzT1ZrJHNZ75kUaj59PnUMllMCBrRoc3UZPHwQo9Cow8li6zDWnmsjkkWg/PVvn8qOEX4bDebdSiZgnqaIrKpBiNFbIvMtavX0RSRZ/bq3/nfpYg9XlzQwf/E6+XBG06U/Qf3/1Cv/+n7f+efmPt9a4KLe6pY7/Hp6ItiqeJgRPYxR3umimqNmozzW5Oqnd5LFc0cbyded3OhDdFfznWOcCH/p3cy++Z1oZvtNxVYVcmF5nwdLgq3cqGGg+rVuDbAhbQHFypmfQv6ssGFDk3aOmHUSReaN77xBu/HLqTaxe8u5MbFu8jXlY5UelmjdUZX6jOpTd6sJV1p05BL2UvUcyXVTHR1pSrHa3fpPtaVuNEf0GeZK+l+y5VqGx/2j7npSk1Vw+pKx18zaBc3GrSkf8+v4W50z13eCTfK23Od6/GKbvQxS36f7S3caF2mI8mT+rsRd4ZhXWe4UbVh4/LW2OhGrHRa5lNu9D2sSp3kx26UUJlbojg3auifmnzHz50qZqxc82Ymd9L3wZ2uFY7vlFTPnWaeutRvdld3Us3kWHdS3e5Sd9rZPSBro33udHPy3Zevr7mTrIZ93rrT29vcIfxzp/TmxUNTIzyoeef/5hsFPKhoh7D966p70K2yW0tm7+RBshfYOdqD+K9XK7TMg3R/6kF5D/9pKm570FIfY2Wrjx4ke9UBbp7U4OTQ2LGGJ6n+s6AnqeayuifJ3jGynSdVYjX3B3tS1vd76i+Z5UmrSuW6v3SjJ8la3eiEJ3Epedrue5LqNz55kvLq6kVTEn1n1Izwoi7duWXJ60Xyry2t4kX/e5m1UJG2XrRm+suFB4Z60Ygp0w6Wnu9FTScWe3hhhxc9KhRbrOIlL9qXf3mTG6+9KI/q4L3oW2EeAYR4U5ysfnm8yWjgc6dyJW+qmGKsmd7Km3ptzNvnzkBvGpW+kxk005tm8OFLbPSmlSH3+s447k3cGZY6cdebup1aWyXmgzet48v0T/Wmpwa3sKE+ZLv6oUfTnD705W2HW9PIh/wl6wY+1NV9RZHb//nQlbdi/auRPpTtcnRw7Dwf4s5id9QW/PykD6nu8Z4PqX7lvQ/J2/Q4yYcmxe3IeDCNL6l+N6MvJZfmhqeoL20OWjsroIYvNXizYdn5Nr6oX74U1/56y+qTfSljyq8Br5f70i/3/G9G7/alK37d6mQ470tR+U42PP/Ql1T79tGXel1rZtmTffF3/GhVOEPK4Eeh06vxCMCPcu9dEbupkh9lzS9roB9l8d1VLW1vP/LbO/j83/F+xI1ZtQtL/OjUx96T2uzCz8/7UWLOqRVmPvWjt23XPCwU60ey9b3r7k8fKrpUaxThT8k/uKLn8ifVDpO/vv76/nT+d6Pg5p399fUP9ad7UWnOtJrpT9zalHi+xp/UuOSgP229zgOOa/6k2o0of33/fvnTgxV8wwID6JkcDv0vgFR/XzqAMtd59PViwwDqHnMjIXPPAFKnPzGAlp48X/HZygAq/XZbYp7DATT2BA8c7wRQeCb5GwH0fdPF6kV9A+lyri6VF/0vkJ7y6ConBdK+gD7bpzUPJDVsGxhIhwweAc4LJNnbZN8dSDeuy69A+iMv52Mg9Wy6rf1Y7zQ0PrD2rvmZ05AslWIV09DZ8Cz1Pdunoegm4YfujE5DHo3ScJGnIf7purlH0xC3ChH9HqUh3d6nIXVbgtPSbvf307PlTktyVDS4eloK5NN51iUtsaYQMTEtdVs6aPnadWmpjGoY0lLQ+enuZ6PSkvqYSxA9blFlab3gIOrJrT5lDKL7MaUG5igYRGqcXj6ICsiOp0EQyeFFng5B2ln/IOovAYwP0uczP4hON09fNm5dEG04cSY8y74gmpqu/bdmZ4NIjePvBBEPPt3rvw6iKwNPrnLEBlGgZ9NS0SlBVE9W9IBg3b4awfRsVzZb8RzBtHNO0XuLigVTqwXONqcrBtPLPlNnxtQLJtX8tQ6manLg0C2YIqqP3BMzKJjUMHp8MKnh1+xgGiuHb8v592QzsTmYZDNabX8wFZcd3Olg6sSjXef1YPQLwbSLhyHGm2DdfnwNpg6yQH8H08ri/5y3XG2kmkl/G7VduXlUphAbNb93/E2IZaPMPKp0zWLT/UEeG1XNk5ohpYiN+nWRPZNN3+/KNlrSh4pNr22j+e2a7ZzT2Eaz83PBtrbRdJf523d3slGTzYVvlOxp0/VzgI22jMo0/84wm67vY2zEd2ds9CQbefDt/jrDRpPCntxMnGejZ86tYf+W2EjNc1bbqOz1YunNjTZacN+3S8btNpKTm2x7bdSDu4OCh22kpgknbVRBfp23UeyVc+V2XOHz49Fz2C2b7t/u2+hbs3JlPjzhn8vh2isble9UtuTRGP7559PFM33C9cTyz+X4JYF/LrvhJBupYUkq/1wOLzzt9FtON3zttOM/voNp7KTG1XY7Ve77J+3HcDsNkRdu2OmZ7F7S2SlQTugy2Unwb4/MaqfVgitQTjvdzcwNTl47echutaCdinD3Zytqp0Wps0f+LWHX7WcZO8nh8blydmrxJKLW9kp23T9Ws9PpDQOX9K/F3+fkCWVDO+XiZmlpCzvJ5npbezup8VpXPu6NkrXu9LETV9ZB7wbbac0e3/KJo/h8eBbjM8lOL3rykWfaaZvsPhbYSc7uyiy3U72qK0ZnWWvX9WQbH79jZHSTQ3b63oYrzDk7HWiRqdfGW7jeZzi/d3btI85OP/aNTN8p2a77Le8QmpGNR6RBIdRPFrwjhLLLDjpTCL3K0e5zrtwhJFlsKBJCNWwshEL0eKZqCMnuOah+CPX82jhkSosQkt2bV6cQUsPZXiF0JvZ6XOLgEBr05urF3mNDKPejy8s+Tgsh+W27BSG6HFeG0KgnpflUQ3R57AmhL3zbqx0LobX7i/4+ez6EJsvm72YI8SjB5cijEJKzv/xRIbRtK399CtFOEkJIzbdTQujGhPXZQ71DaTzP8mYEhZLi5Ail9JMjvcdnCiU9Xg+l6b1C9wwoEkrl2tsnfhOhut2sGkrc2+R7XS+UFnTkGWCLUKouoXYMJZ78BtbuFUqHmcelwaG6HRsbSv/LNnL6kWmhul9eEEqneZS9a2UoqWn45lDK7Ywrs2ZPKL0JjrU7joXSEs+vH+aeD6Xafz6d8L8ZSl787fhHoXpc9zqU5PBj19dQsuS0NykU1xNGIztzDbOHUd6qgxsOTR+G+xNGswO4IhcPIzXgqBRGcbfS7ahQP0zXp9Zhut3rHkZuA7hGDQmjfY14xjgxjNrLCd/cMHobn+5ur1VhcBymx0+Hw0jNby6E6XHq3TDi2cSpLy/D4DGMZLeczyWchn5p8O5eUDjJWe6gDOEY54Xr864crvv7FuEULL/6hFNlHgZHjw2n4dsm79g3P5zG1eUKvTFc99OHw0kNc8+F07P79U8OvRVODZeP+B3wLFyPw9+FUxU5cY4Pp7NyeSclnNR82zeCDoypZXwIiUD5ROjxSq4Ikqs9S4tGUHe1gBBB7+Twp1YEtfa+GVm3WQRx61b/TccIqq86hgji0cxl7xERevw3OYJOy+nk/Agqvv8y9ygRpNaPtkWQmpcfjNDj0rMRlP5uLz5kBC1dwl9PIkit17yN0L6+R5C3GnBHUN3ZFzK99I7U41d7JFVIxzOsdJF08l25u/NzRFJROaAuEkl7BvBMvGwk5Sx9enT1mpGk5i9NIsl53f6zV4dIWszDcLfekRQsC3xYJE3LyDPHSZHkyR87PDeSuLcKr74yUreLWyKpL9+2Xgci6bN3u4uuZyKp461pLvOvR5Js9jM8jtTu30QSq6lTKTaS6qZWyrYuMZLuPOYJd2okcafuaODjIPlr24McVLtjmUDPSAfdLDN8YssMDqoVcTT1QHYHydGDrYCDhsuCL+FAO+kgtXxT3UFJI7se71/fodun5g5S6x4dHDTYnyV1d5CaF/d30MOAhY+KjnBQQznRneAgnhxe/TDDQQ1kB7LQQXKUvGSlg3g2Vjh+o0P73OWgMVnOTtx0yEEu8uu0Q7cvlx2Uupdv3G0HsdZuvk8clHtG3/Kdohy0vdPu4yc/OiiXBBTvoM8n/HuO/OWgp+24xJMcul9KdVCTVq/6H3Y3iFuP7el8DFLz5wCD5Ow3PsigCcNv72saalCFpK+fT0caVHDVxLG5nAbG0Qap5ZUsBvoZg1jLmRt5DXKWXPCnUCGDtt/liRynXFUsWdigi648cuZU11vE0ONozp5yYFjUoOTWy4Ze5VTzlmIGhc0avOo25/osPPEpblB+OezmlNG0hEFq/ZFzS8ssK5qXNKgoN1MvOeUwrW0pg+r+ry8PyQx6dYwbotIGda/PLRSnbKZ6ljFoEl9NHGeIY1m+/sLQ7Qun8kaGbr845bejyxr0MC0fuZxBHZjtRE7ZCvqWN2ik/A/OgJ78rwqGbg85+az+hlY0aH+hq4FLONX4opKB+bdBLfh/M1Y26ONcHkhxqva1ikEectmUc07T2zPzVOXylH+IUzYvhapxecoJKKcc3peobpC8rBOcal2sBpenPCFOdfiaXJ78a1c5w+S3tQxa93x209uc+fundqtfm8uTq8dDzuryP+oY9KQE/4uzEw8rWtc1SC6+RnOOduWZbD2D0sgL5ORS4wMYej7GebA1l3gDQ49rOOXZD25oUCtZEJyqHjYySBana2ND9xOcahzZxNDzas6dfLqBTQ0qqU7IIHl4ezOD5K8t4lT9TnODeqsbb1AKccG2MGgal8Y6TrXe1tIgtfzUEvW2laH7Mc6a8ga0NvS4ibOLPEAbg2T1OcY5TlaLtoYe73Oq29jOILUKzXlYFnt7Q68rcKpi6mBQG1nhONVldTRoqCowg3zkaXQySK87GqR+rbNBu1/KimmQWt/uYhDXEs+vnGpe+Z9Bb0vJ/zBI1uKBXQ2Sd+sPp1pX72aQQ90Ag2R1HNvdoMLyAD0MktVnMqdqv3saevzIWVI2KL24PBcfWzibU62P9+bylMvZnL1lB9KHy1NOezl51hCfri+Xp5xIcar5ST+D1DI2p+pH+nN5ymaKU40XBnB57vvU7wDnz2o80BhokFov51TriYO4PIP5SJxydb7CYAPjDy7Px98Tqg3h8pTdDqfqz4ZyefKfuc9ZXQ5jhhkkf/yUUzbXTYcbep7OuWs+D3BGGHp+xLls+aVaHUcaup/nVMvJoww9PuK8LZfXRhvUUi6ocar+fgzXzzM3biVxqsOMNUitt40z9HiLc0c6+Q+D5OrqVM7LtfhMJhho1w2KHiH/ApcnD8cWcqZs51+YxOXJw+blk9DeTuby7McTQc4CcmFuikFyWWQzZ011YC7POzxw51TDj2lcnjxsPsA5drEcsBgki+MY5wq+zDIzuDxlA8wpf7vCTC5P/nOXONX4fxbaZ045vKkz29DjHE7v8ed+N5pjkBxWPuXMuG+11XKuoceNnKXkBc3j+jmEf4GzseqgDYrZfGXIF07VDy/g+inXSTnVOHQh1095YM5NK+MfDFtkEM8mP/zjVMW72ND97RKDVHFwqnHtUkOve3DK0wpeZujxAOcqPkz4ckPPPziPZOATXWFQZfkPzvt1eCCy0iD+K3wmBsWO6vEp+yqDhssC51Tju9UGqecBnGodbI2hxyWcsjqVWmvQdfk4ilPe/nLrDNLr0oaet683yNVdPpkwSBZvrQ0GmfIGcm7h4miw0aAi6gQMvQ6zydDjI049nzb0+henGp9vMYgrY49PnLJW9tjK/ZAla6RB6vnHNoPUOj5nVVng2w093udU1XiHodfjdnI/JKsdp1rn3WXocS2nWm/abZC6rZzydoXu4X5I3gZOdTf3GqSKjXOgKiCD1GVyytPPup/7IXlanGr+dsDQh+G8yP9d6CD3Q/JEOblW8j8MUo+JOP8yMzpskFRzjjNUFTj3Q1wKVzhlNa5x1CBZPW8dhfNjBj2Wy+7H4Pw490N8+59z6udPcH4Czk9yPyQr2Ek4PwXnp+D8NJyfhvMzcH4Gzs/C+Tk4Pwfn5+H8PJxfgPMLcH4Rzi/C+SU4vwTnl+H8MpxfgfMrcH4Vzq/C+TU4vwbn1+H8OpzfgPMbcH4Tzm/C+S04vwXnt+H8NpzfgfM7cH4Xzu/C+T04vwfn9+H8Ppw/gPMHcP4Qzh/C+SM4fwTnj+H8CZw/gfOncP4Uzp/B+TM4fw7nz+H8BZy/gPOXcP4Szl/B+Ss4fw3nr+E8Cs6j4DwazqPh/A2cv4HzGDiPgfO3cP4Wzt/B+Ts4fw/n7+H8A5x/gPOPcP4Rzj/B+Sc4/wznn+H8C5x/gfOvcP4Nzr/BeSycx8L5dzj/DudxcB4H5/FwHg/nP+D8B5wnwHkCnP+E859w/gvOf8F5IpwnwvlvOP8N53/g/A+cJ8F5Epz/hfO/cJ4M58lwngLnKXD+D87/wXkqnKfCuYupnXMq566mds6pnLuZ2rm7qZ1zKucepnbOqZx7mto5p3LuZWrnnHr9wtTOOT/s54m6j0kDanxvs5JTPZ/0NWn2MP4kp3LuZ2rnnHo91NTOOZXzAFM751TOA03tnFM5T2Nq55zKeVpTO+dUzoNMrFuY2nmwqZ1zKuc2UzvnVM7tpnbOqZyHmNo5p3IeamrnnMp5mKmdcyrn4aZ2zqmcR5iYP5vaOadepzK1c051WoapnXMq56apnXMq55apnXMq505TO+dUztOZ2jmncp7e1M45lfMMpnbOqZxnNLVzTuU8k6mdc6p13P+Z2jlna/kgJrOpnXMq51lM7ZxTOc9qauecynk2UzvnVM6zm9o5p3Kew9TOOZXznKZ2zqmc5+LybLB8xG/OQl/8Zg/LbeL5mqmdc+rntqZ2zqmc5zO1c051u/Kb2jmnmvcX4PJ81KLKUk7lvKCpnXOq0y9k6ud5nMp5YS5PuQ+Fc2Fyuyt5i5jaOeeenPzRoqZ2zqmcF+PylI9dOZXz4qZ+jsXpKv9wCZNm1qnU6xqnXN6vVdLU6/KcReTCZimT1PInZ13+WLPSXJ4v+Iuzm4RUxqTfAcfcYjgnMrfOgsuz1OKsnzjV9hXi8pQf5FTP78uaVGVpvT6/OB/KbRXlTGp/Je/CZE61jlyey1MesAKXp4TJqZ7HV+TylA+QOdU6YiUT645wXtmk5hb/5cpwXgXOq8B5VTjnlB/LWs3U67icxcpFnshd3SS1nYizvtz4VMOk1z5c0JxqH05NLs+i/EFOtS5ci8tTPkDmVOtWtU3KJ28I54ncfMF1TP0cnlM9f6prkto+xClvR5N6Jo3mYn7GGSgLpr5JsliiOLPJ7QcNTL2uyClPr1tDk27zn/3G2VIWYCNuN/ljCZyD5FdjbjflRgpOtf2riUny8bZLU2435f4VzhLyQpqZpPbtcKr1zebcbhbkCs2p10tNSuFqtZBzahJfcEtTr29zbuDbm66VSWofE6d6nt/aJFnMmznV88I2pn6uzqnWy9tyu8mXsZ9T7fNoZ5L8s8c41T6s9txu8sfOtIfzDtxuPtvb6FIHOO/I7SZzu8E5VBZ0J2435YVwcuntbdTZJFmdn3Du4mraogu3m7LCcMpq1e4/bjflBXOq7ShdTVL72jhT+bb16sbtptw/xCmLeUB3OO8O5z243ZTbtjjV86+e3G7y6Xn04nZT3mBOtU2ut6nX/Tn1erNJ8vHA/D5w3hfOOSUjqx+3m8xjNad6jtAfzjmHywo9AM4HwPlAk2R12TsQzgeZ+rkEp7xtpQbDOafaTjMEzofA+VA4Hwrnw+B8GJwPh/PhcD4CzkfA+Ug4Hwnno+B8FJyPhvPRcD4GzsfA+Vg4Hwvn4+B8PJyPh/MJcD4BzifC+UQ4nwTnk+B8MpxPhvMpcD4FzqfC+VQ4nwbn0+B8OpxPh/MZcD4DzmfC+Uw4nwXns+B8NpzPhvM5cD4HzufC+Vw4nwfn8+B8PpzPh/MFcL4AzhfC+UI4XwTni+B8MZwvgfMlcL4UzpfC+TI4Xwbny+F8OZyvgPMVcL4SzlfC+So4XwXnq+F8NZyvgXPO1yfTLC+4lstTbmjllMvSxdfB+To4Xw/n6+F8A5xvgPONcL4RzjfB+SY43wznm+F8C5xvgfOtcL4VzrfB+TY43w7n2+F8B5zvgPOdcL4LznfB+W443w3ne+B8D5zvhfO9cL4PzvfB+X443w/nB+D8AJwfhPODcH4Izg/B+WE4PwznR+D8CJwfhfOjcH4Mzo/B+XE4Pw7nJ+D8BJyfhPOTcH4Kzk/B+Wk4Pw3nZ+D8DJyfhfOzcH4Ozs/D+Xk4vwDnF+D8IpxfhPNLcH4Jzi/D+WU4vwLnV+D8KpxfhfNrcH4Nzq/D+XU4vwHnN+D8JpzfhPNbcH4Lzm/D+W04vwPnd+D8LpzfhfN7cM75+2yHrW3uc3k2u3f8Dac9vuytTg+4PKfsjvrIqbY9PuTyPDzD6zun3gcD54/g/DGcPzFJbRN/AudP4fwpnD+D82dw/hzOn8P5Czh/Aecv4ZxT7dd4xeWpHpCbpLYNv+bylBfwGs6j4DwK/Xk0+vNo9Odv4PwNnMfAeQycv4Xzt3D+Ds7fwfl7OH8P5x/g/AOcf4Tzj3D+Cc4/wflnOP8M51/g/Aucf4Xzr3D+Dc5j4TwWzr/D+Xc4j4PzODiPh3POcHnDfsD5DzhPgPMEOP8J5z/h/Bec/4LzRDhPhPPfcP4bzv/A+R84T4LzJDj/a+rnmpz6eS+X56QJze4lw3kKnHPq/c6m3gfBqd47SIVzTr1vytLOOafzd71cLYrs98gWz6n3Q1pUSG6U4DxTPFO1Ye4WqcNyPuePj/Gw6D8ZnpZ+ns8pd4H6eVkUfOko13SLVrbKfi3I26Kc8gOcR7j6h/lY+vk3p9p+5GuR2m/Oqfbl+FmktpNy+hp8BH+LFu4N6LOdM5PcaBpg0Z6ojwv2cpaRBRJo0bUg/oOcav9RGks/h+eUl1M2rUXyNC9wzuQ/XyXIIkOdmEXy47WCLb0/hFPtV7dZpHhyvpzHBWy3qJu8AE7lPMTSzjmV81BLO+dUzsMs7ZxTOQ+3SG4T/8XZXj4wjrD0/lhO5TzSIn9ZIA6LFnMxTuBUxWNYel8eJ8nLMS2SpzmHU+/bsugDH3YRp/q40yIZKzmV83SWds6pnKe3tHPOC7PkByyS28x2c6r+PKOl+3NO1Z9nsmgyV6/jnKHyQP+z9L4ZTv0eikUn+CyucKr9v1ksksV9i1O/j2CRagY51XPybJbe18ep9t1mt/S+Uc4DfNgOOSwqxx9/zymja06LWv4rn/SV8xPf7T65LFL7xzk91QVYNLcFf4BTbr8dkcciVa3zWlRCVRSLVDXMZ+n9dJzRstrkt0hWh1mcej+BRVP59i3gVM4LWqq4l3OqfYOFLDolhzuc6rILW6S2FXGq/f9FLJJ/fienOmxRi9Lyx/dzqihmUXZZQTkPcateuriln+NzSk7lS1jUWn6AU+1PKmlp55zKeSlLO+dU+4xLW6S6B07lvIyFfWOWdi4sigmRN8zSzskiWYyfCc7LwnlZOC8H5+XgvDycl4fzCnBeEc4rwnklOK8E55XhvDKcV4HzKnBeFc6rwnk1OK8G59XhvDqc14DzGnBeE85rwnktOK8F57XhvDac14HzOnBeF87rwnk9OK8H5/XhvD6cN4DzBnDeEM4bwnkjOG8E543hvDGcN4HzJnDeFM6bwXkzOG8O583hvAWct4DzlnDeEs5bwXkrOG8N563hvA2ct4HztnDeFs7bwXk7OG8P5+3hvAOcd4DzjnDeEc47wXknOO8M553hvAucd4Hz/+D8PzjvCudd4bwbnHeD8+5w3h3Oe8B5DzjvCee9LOwHtLBfCc57w3kfOO8D533hvC+c94PzfnDeH877w/kAOB8A5wPhfCCcD4LzQXA+GM4Hw/kQOB8C50PhfCicD4PzYXA+HM6Hw/kIOB8B5yPhfCScj4LzUXA+Gs5Hw/kYOB8D52PhfCycj4PzcXA+Hs4nwPkEOJ8I5xPhfBKcT4LzyXA+Gc6nwPkUOJ8K51PhfBqcT4Pz6XA+Hc5nwPkMOJ8J5zPhfBacz4Lz2XA+G87nwPkcOJ8L53PhfB6cz4Pz+XA+H84XwPkCOF8I5wvhfBGcL4LzxXC+GM6XwPlSOF8K58vgfBmcL4fz5XC+As5XwPlKOF8J56vgnFO9VrnaIrktdiPnwi4HI7Kv4fKUb4Nyqvdo1lp6vzynej9unaX3mXG++1lzUsn1cM4pf63sBjjfAOcb4XwjnG+C801wvhnON8P5FjjfAudb4XwrnG+D821wvh3Ot8P5DjjfAec74XwX+vNdcL4bznfD+R443wPne+F8L5zvg/N9cL4fzvfD+QE451T7Iw/COad6L/MQnB+C88Pcbsr34DgnlfQYVvwIt5tywyDn2q5Rq8RROD8K58e4PPPnfnSZU25Trn7cog7yxbzjcH4Czk/A+Uk4Pwnnp+D8FJyfhvPTcH6Gy1O+JnkGzs/C+Vk4Pwfn5+D8PJxfgPMLcH4Rzi/C+SU455RvMdsuwznnevka4BWL5GUtuwLnV7k8+TTWcKr3kq9xuylfKOFMkK8pX+d282jPojs508iCvcHlKd/vvAHnNy1S789xqvdlb3G7Kd+T5JTVtvxtLs+Bb65e5BwiD3DHIvk273XO+Vwt6tzl8pQvzHCq98bucXnKF5A5r3Cxt7jP5VmQBXCqfeIPuDzbFR73lvPfH76hDy39/gtnpHyN7xGXJx8+jlP+Wv/Hlt53zllL3vgnln5vgfM/eeJPuTyZlcczLs+3DIwzeATf6eeWfu+Kk5VNCHph0eHyfIGcleQBXlp6vymnel/zFZfnGq5Ir+D8NZy/hvMoOI+C82g4j4bzN3D+Bs5juN3kw5+MgfO3Fslvz3Oq98becbv5mQuWs7A88ffcbjr4PzjVvtwPFqnXkzm7cfVu9tHS+3451fuWn7jdlAfgVPtPP1t6Pz7nMb7d3b9wuylvFKd6n+mrRbLYf3J+l9v4v3G7KUF8Q38eC+ffud2UBcaptgfHWXjPgNtN/rU08ZZ+vZ7zQ3o+8g9uN2XBcsq3hBwJFs16z//BaY3if/3k8VEY3+mfcP6Lx0cV+Qb8gvNEi2Q1282p3jP5Dee/4fwPnP+B8yRLv6fIeYKLs+JfOP8L58lwzqneV0/hdlOeEKc8fJN/ln5fi1N+2yrVItbTNYqznCxYFyfdMvk3OCWrrq5O7ZxTvffg5iT1fj2nei/b3Unp5AVyymo2wsNJsvq4eDrpknw9mlO9R+HlJHkbp3D2kgXh7SRZ7LM4lXMfJ4VLEJzKua9TO+c8xafr9HNq55zKub9TO+dUzgOc2jmnch7o1M45JauiaZzaOadyntapnXMq50FO7ZxTOQ92auecyrnNqZ1zKud2p3bOqZyHOLVzTuU81KmdcyrnYU7tnFM5D3dq55zKeYRTO+dUziOd2jmncu5waueGUzvnVM5Np3bOqZxbTu2cUzl3OrVzTuU8nVM751TO0zu1c07lPINTO+dUzjM6tXNO5TyTUzvnVM7/59TOOZXzzE7tnFM5z+LUzjmV86xO7ZxTOc/m1M45lfPsTu2cUznP4dTOOfU+c6d2zqmc53Jq55zKeW6nds6pnOdxauecynlep3aez6mdcyrn+Z3aOadyXsCpnXMq5wWd2jmncl7IqZ1zKueFndo5p37fwamdcyrnRZ3aOadyXsypnXMq58Wd2jmncl7CqZ1zKuclndo5p3Jeisuz+KwVVzmV89JO7ZxTOS/j1M45lXPh1M45lXOCc4LzsnBeFs7LwXk5OC8P5+XhvAKcV4TzinBeCc4rwXllOK8M51XgvAqcV4XzqnBeDc6rwXl1OK8O5zXgvAac14TzmnBeC85rwXltOK8N53XgvA6c14XzunBeD87rwXl9OK8P5w3gvAGcN4TzhnDeCM4bwXljOG8M503gvAmcN4XzpnDeDM6bw3lzOG8B5y3gvCWct4TzVnDeCs5bw3lrOG8D523gvC2ct4XzdnDeDs7bw3l7OO8A5x3gvCOcd4TzTnDO+X8vi/D4</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="496">
              <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>eJzt0c8r5HEcx/GxTUjKj10iF+UiJO1RDiPKlJT/wKyjlCUitVk3RZnalZJfQ4Zd2hQhtCkHkgMnF4c5KJItBwe1E/J+zefw+Q+k5+PynPe3z3y+n76fQAAAAOANiwyH9OObmhhScwf9OdCk1vT761t7Q94+kS/+/90c6VZHRtWbSfUgpj6tqD2/1cbUHFpTi+Lq5oyanPbn0ym1fE4N//TflxhX9yfU6A9/bo/5+3XO+udI21Ybdq3f/x5q3j1W+47U2Ik1VHGudesXer5xbc0tfLDW7D1bB1qD9a/92pVhjZZkWjNL06033VnW4//Z1oH5HOtlOM9at55vDf5Tkx0frb1lBda7WvWxqtB63/xJ+8S1b3lbwJqovNV5r8503pYDtXhLPfmj7vzyv5dr9bJ6tap+WFIHF1R3z58X/fVjy/7z2dR9B909pZ67+3bvc/fj7sutBwAAAAAAAAAAAAAAAAAAAAAAAAAAAN6ZF6pCeoA=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=179.056 Q3=87.000 sample=42 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="13932">
              <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>eJztzyGOQjEQBuB3AwyCoyCf5ggkKBzqJQgU5AUOAGfgCCjkLh7BjUh2GJI2gFvF95k/03baTtMAAPA1+kn7Mdtp5M88slm93m8Xj3PLsq77sz6sy/q8ixxty3fyntx/9i3KOuX6u3/W873Tda/P13PW6/W8mXlf9tXzdX3keB85PEbOfv+yP12jHtyivl6i3hzL/vrdlP8CAAAAAAAAAAAAAAAAAIB/dgdw5z/W</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=180.067 Q3=93.100 sample=42 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="13932">
              <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>eJzt0b9Kw0AcwPE8mWQQ8QXa3cXJpQrFsUMRBEcfIG9Q6NjFTB1FULu4+SBFyC+/IecfQlGnz2f5csnl7shVFQDAH1ic1D+Ox2qn9a+ud6j/3u/b/WfRZh69vo0eN9GHdXS/7Vq/PXdtL1+jR7uui8ljzHvfRF9W0eV9v/5N9OmqH58Pm/dSjvOc2U/3dxatL4bv83n5Xfl9OT/Hec78H6d3X++T5y2V5wYAAAAAAAAAAAAAAAAAAEb5AKuQP8M=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=188.056 Q3=58.000 sample=42 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="13932">
              <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="72">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0UEJAAAIADGj+TCY0U0hgmwJDi4CAACe68rrBBb4CgAAAAAAAAAAAAAAAABwbgDhKQIJ</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=188.071 Q3=144.081 sample=42 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="13932">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="452">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0qFLQ0EcwPGnCKIWg9GwaDQuzuYfIePBUB4IMnGyoaInMmcQ2QYmi2IRwWISMYwhMkwyEETLEINxyWAS7/e7wW+IURC+n/Ll3rvdu3tvUQT8U6mljO9xSdrY0HFir99Wpfcn0uja1yWPvtMTXd/Gx8DMd0sXo75nzTHfWTfim14Y9o27g75u8dP/LpOV37uXV2n5WdbLtvU5d/Lc9o00d6n7OJdOnUqHjqRz2rdD23COVF2aqeg596Tj+9JWzc4v1e31yZpd572s97el1V1dvyjtrOp8fd8Py/rcxM5L5ez9MD+f71tnU+q2pImz47Tu50rP87Rj54XvHOb3j11B91Wx++tdL/7csM/e/gr2ehiH/1W8bse9863Y+eF9dOZt4/j350Rr9nz936mr52sd2AIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPyhL3Nrg+g=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=191.020 Q3=191.020 sample=42 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="13932">
              <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>eJzt0i2SwkAQhmEkEomMXLkSyRGQyBwhct2mNvxMihUrV0ZyhJUrOUKOEIlEUsV8n+g5AVW8j5nqmU6np5PZDAAAAACAF7E4rR/r2OX1f6f4kNf6mNc/rZX2b/u8TtpfK/7R8+/aX6S8toeY3yj/Te+9Km+p/baLdbeK50Vd16v62J/fN+zj/vCl+Dv24efPylvt4n2ct9G55+W+PB/f56b3NCnWqT3fLp43xfx83hb38dzPfZFf9O1+vD8q3/Nyf5Pvl2J/SXlz963Y8/T8fV/H/u5L1f9NsZ7v4dj3/Ohjv/4PGtW5KB4+4/nF/4H6BAAAAAAAAAAAAAAAAAAAAAAAAIAncAf8l3Iu</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=193.035 Q3=58.900 sample=42 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="13932">
              <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>eJzt0TEKwzAMAMA8oU/y1B9kz9IpY5eMfVqeVigoYCUiXgt3i0CSLWFPEwAA/Itn+4V9bpf5tvb1ZSn6i3tDnMv5/XV9b+Qf774e+3y2Ph99cS768rzRfW/zScw9+tO7nvac+3ial2NVH9w3z6n+7/in3Dc6b/S9AQAAAAAAAAAAAAAAAACofAGZgymV</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=199.170 Q3=199.170 sample=42 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="13932">
              <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>eJwt22VAFU0bBmC6UTiHPLt7rM/ubuexu7s7Xru7u7u7u7u7u7tA7EAQRRHke2bm5s8teFh2Z+ea2tkyed3q7D1bTYx5teRNbFwLsfNx64G1nZ3EsjPxSRvP9RAVHpwVo/b3FUerBrjlnDRQ7BsWv7tOt6Eix/eS/ZJLjxTUbEqnaXPGilzGuSkPAiaKRiN2Hmw3agqON108XF1ucpkCs0UN9YM5OM5Ckd1WvGtf5zKx6GnHu0cOrBInl38ZEjx6rchXY6NfpcwbRPjcjQ2Wj9gsnvzI6JI553ZR42uBj8+f7hL/q7ml2N/ve8TVxrEte//YJ7bvkCd8UMxwP9t2+LbDYuGMqPNdvY6JUifqLcww84To8yuq4Be/08Le9ty9nB3PiAPX1vfrduqsaFxkon1b5HnxZ3XnfZ/6XRDL/KvWz3Hzoig9MMeP/7JdFq9e+8/bMvaKGFNd/uGrItPBm3ezFb0uLqTf3bfLnBui87Q5ts2fbwqPYcX5FG+LhvlybLHfvi02vnUMKTjijkhcKg94V9R7UTV/7kd3xbq5JVxrjr+Hcrsvjj6dmtIx8b6oduHJpFu7H4g7GZ/9Gdn1oWgbmGP8h0yPRHzi4DT1XjwSY6MvLT628LGw3wjLlLnOE7HuUMcdM32fihyhndOVOfdUHE09sGXT8Gei+iePQsFFnos7lb02no59LtoWkGf0QsSb64/Oa/dSDB66IVd585Xw7ZhwcPuDV+LGpjXpp1V+LbLEjFt5Y+trkdRUBBVMEyVu3koas7hPlMga8CL16f0oMbrKqRFWsWjxZPyav62XRYsCZ8YNWfsvWkzjs49p+0bEFK8yIOuFN6LC7kXzSueNEdm/Bp7MtyRGTG7f8nkl97eix+p7XiV6vEU5vBV76y+pXb7sO7FodtqhRba9E4lerRfXCH0vnpWXFe29KHn0f1ENP74X6VUBfhCje3zK3vrEB9Fxa5sG9bJ+FNXePxxZcc5HkfNO9/z13D6JuWOyc4l+En/yv9uZOeaTaB29tkfahp/Fxbmtc/258FnkLm9+ji7yRcz78XjL9U1fRNK6BV0ORnwVbfloq6d8FZc80r6bkvRV5FEV45uYy3d14Jtv4mev8QWGNo8VUe86p9D1WPGmecXuKzJ/F4uzfnrl0/G7+Ccvf813ca4Dn9jd76LYnqUs5rtYWOlIhn3p40TY32vfrpSPEwt2vTz2ulOciHDN1rTtjDjRrvHo5912xul6eytOLP9YvcX+r3FieuZTTeL948VwdePihW3c6atrKsaL2PWLF3brEC+uXezdrvC4eLHpQ5U8qWvixTi/DEmXT8eLNnyVc1/Fi1K17sxp8S9eRPTe0jKL9UMkzJEF80Pc3tf055FmP8SOB/n5zv3Affwhzt5O2VXzxA+RvCXubs3oH2Lwu9/DSnkniD2nvqwslStBfF78+kypugmi84P3XXMOTBCrdz6bkXNZgpCl6TidIBqdf9jU8TZBzFpxdbjD76c4VqPEoV85f4oNfLoxNX/qetjrpwjZWTlq6PyfoknIFLPwkZ9i2VCW++Kn+LXoxbxJnr/Ew2Hhz5Nz/RJBXBvKNP4lvEPL8an/EuMG9q96dtsvMTR49NzQh7/E/rSr2jZ2SRSqeuVI1PWzQaJo45d80xyVKJps8OZLTxRz1mV5v+deori2puLBHymJwmN1hwmFs/0WZVaOazCo3m8xePnaTEeG/xbv7tWZfWHdb7G4pyzp36Kq7/0Bx+J+o378EXwyzfeIP8I9plW/DP/9EeUTTxX5Of8Pyv2P8BqzoPy0L3/ER1evFl3Dk4SsRUXLJYlBuTOkS+ieJCaO+tcl89IkEbnY7VTBS0mia80fM+snJIljbvKAf0XA4ft55tX6K1r2uPBv77C/YmdGbmA2/xWpjzaujH/wV9SZsainzT1ZrJHNZ75kUaj59PnUMllMCBrRoc3UZPHwQo9Cow8li6zDWnmsjkkWg/PVvn8qOEX4bDebdSiZgnqaIrKpBiNFbIvMtavX0RSRZ/bq3/nfpYg9XlzQwf/E6+XBG06U/Qf3/1Cv/+n7f+efmPt9a4KLe6pY7/Hp6ItiqeJgRPYxR3umimqNmozzW5Oqnd5LFc0cbyded3OhDdFfznWOcCH/p3cy++Z1oZvtNxVYVcmF5nwdLgq3cqGGg+rVuDbAhbQHFypmfQv6ssGFDk3aOmHUSReaN77xBu/HLqTaxe8u5MbFu8jXlY5UelmjdUZX6jOpTd6sJV1p05BL2UvUcyXVTHR1pSrHa3fpPtaVuNEf0GeZK+l+y5VqGx/2j7npSk1Vw+pKx18zaBc3GrSkf8+v4W50z13eCTfK23Od6/GKbvQxS36f7S3caF2mI8mT+rsRd4ZhXWe4UbVh4/LW2OhGrHRa5lNu9D2sSp3kx26UUJlbojg3auifmnzHz50qZqxc82Ymd9L3wZ2uFY7vlFTPnWaeutRvdld3Us3kWHdS3e5Sd9rZPSBro33udHPy3Zevr7mTrIZ93rrT29vcIfxzp/TmxUNTIzyoeef/5hsFPKhoh7D966p70K2yW0tm7+RBshfYOdqD+K9XK7TMg3R/6kF5D/9pKm570FIfY2Wrjx4ke9UBbp7U4OTQ2LGGJ6n+s6AnqeayuifJ3jGynSdVYjX3B3tS1vd76i+Z5UmrSuW6v3SjJ8la3eiEJ3Epedrue5LqNz55kvLq6kVTEn1n1Izwoi7duWXJ60Xyry2t4kX/e5m1UJG2XrRm+suFB4Z60Ygp0w6Wnu9FTScWe3hhhxc9KhRbrOIlL9qXf3mTG6+9KI/q4L3oW2EeAYR4U5ysfnm8yWjgc6dyJW+qmGKsmd7Km3ptzNvnzkBvGpW+kxk005tm8OFLbPSmlSH3+s447k3cGZY6cdebup1aWyXmgzet48v0T/Wmpwa3sKE+ZLv6oUfTnD705W2HW9PIh/wl6wY+1NV9RZHb//nQlbdi/auRPpTtcnRw7Dwf4s5id9QW/PykD6nu8Z4PqX7lvQ/J2/Q4yYcmxe3IeDCNL6l+N6MvJZfmhqeoL20OWjsroIYvNXizYdn5Nr6oX74U1/56y+qTfSljyq8Br5f70i/3/G9G7/alK37d6mQ470tR+U42PP/Ql1T79tGXel1rZtmTffF3/GhVOEPK4Eeh06vxCMCPcu9dEbupkh9lzS9roB9l8d1VLW1vP/LbO/j83/F+xI1ZtQtL/OjUx96T2uzCz8/7UWLOqRVmPvWjt23XPCwU60ey9b3r7k8fKrpUaxThT8k/uKLn8ifVDpO/vv76/nT+d6Pg5p399fUP9ad7UWnOtJrpT9zalHi+xp/UuOSgP229zgOOa/6k2o0of33/fvnTgxV8wwID6JkcDv0vgFR/XzqAMtd59PViwwDqHnMjIXPPAFKnPzGAlp48X/HZygAq/XZbYp7DATT2BA8c7wRQeCb5GwH0fdPF6kV9A+lyri6VF/0vkJ7y6ConBdK+gD7bpzUPJDVsGxhIhwweAc4LJNnbZN8dSDeuy69A+iMv52Mg9Wy6rf1Y7zQ0PrD2rvmZ05AslWIV09DZ8Cz1Pdunoegm4YfujE5DHo3ScJGnIf7purlH0xC3ChH9HqUh3d6nIXVbgtPSbvf307PlTktyVDS4eloK5NN51iUtsaYQMTEtdVs6aPnadWmpjGoY0lLQ+enuZ6PSkvqYSxA9blFlab3gIOrJrT5lDKL7MaUG5igYRGqcXj6ICsiOp0EQyeFFng5B2ln/IOovAYwP0uczP4hON09fNm5dEG04cSY8y74gmpqu/bdmZ4NIjePvBBEPPt3rvw6iKwNPrnLEBlGgZ9NS0SlBVE9W9IBg3b4awfRsVzZb8RzBtHNO0XuLigVTqwXONqcrBtPLPlNnxtQLJtX8tQ6manLg0C2YIqqP3BMzKJjUMHp8MKnh1+xgGiuHb8v592QzsTmYZDNabX8wFZcd3Olg6sSjXef1YPQLwbSLhyHGm2DdfnwNpg6yQH8H08ri/5y3XG2kmkl/G7VduXlUphAbNb93/E2IZaPMPKp0zWLT/UEeG1XNk5ohpYiN+nWRPZNN3+/KNlrSh4pNr22j+e2a7ZzT2Eaz83PBtrbRdJf523d3slGTzYVvlOxp0/VzgI22jMo0/84wm67vY2zEd2ds9CQbefDt/jrDRpPCntxMnGejZ86tYf+W2EjNc1bbqOz1YunNjTZacN+3S8btNpKTm2x7bdSDu4OCh22kpgknbVRBfp23UeyVc+V2XOHz49Fz2C2b7t/u2+hbs3JlPjzhn8vh2isble9UtuTRGP7559PFM33C9cTyz+X4JYF/LrvhJBupYUkq/1wOLzzt9FtON3zttOM/voNp7KTG1XY7Ve77J+3HcDsNkRdu2OmZ7F7S2SlQTugy2Unwb4/MaqfVgitQTjvdzcwNTl47echutaCdinD3Zytqp0Wps0f+LWHX7WcZO8nh8blydmrxJKLW9kp23T9Ws9PpDQOX9K/F3+fkCWVDO+XiZmlpCzvJ5npbezup8VpXPu6NkrXu9LETV9ZB7wbbac0e3/KJo/h8eBbjM8lOL3rykWfaaZvsPhbYSc7uyiy3U72qK0ZnWWvX9WQbH79jZHSTQ3b63oYrzDk7HWiRqdfGW7jeZzi/d3btI85OP/aNTN8p2a77Le8QmpGNR6RBIdRPFrwjhLLLDjpTCL3K0e5zrtwhJFlsKBJCNWwshEL0eKZqCMnuOah+CPX82jhkSosQkt2bV6cQUsPZXiF0JvZ6XOLgEBr05urF3mNDKPejy8s+Tgsh+W27BSG6HFeG0KgnpflUQ3R57AmhL3zbqx0LobX7i/4+ez6EJsvm72YI8SjB5cijEJKzv/xRIbRtK399CtFOEkJIzbdTQujGhPXZQ71DaTzP8mYEhZLi5Ail9JMjvcdnCiU9Xg+l6b1C9wwoEkrl2tsnfhOhut2sGkrc2+R7XS+UFnTkGWCLUKouoXYMJZ78BtbuFUqHmcelwaG6HRsbSv/LNnL6kWmhul9eEEqneZS9a2UoqWn45lDK7Ywrs2ZPKL0JjrU7joXSEs+vH+aeD6Xafz6d8L8ZSl787fhHoXpc9zqU5PBj19dQsuS0NykU1xNGIztzDbOHUd6qgxsOTR+G+xNGswO4IhcPIzXgqBRGcbfS7ahQP0zXp9Zhut3rHkZuA7hGDQmjfY14xjgxjNrLCd/cMHobn+5ur1VhcBymx0+Hw0jNby6E6XHq3TDi2cSpLy/D4DGMZLeczyWchn5p8O5eUDjJWe6gDOEY54Xr864crvv7FuEULL/6hFNlHgZHjw2n4dsm79g3P5zG1eUKvTFc99OHw0kNc8+F07P79U8OvRVODZeP+B3wLFyPw9+FUxU5cY4Pp7NyeSclnNR82zeCDoypZXwIiUD5ROjxSq4Ikqs9S4tGUHe1gBBB7+Twp1YEtfa+GVm3WQRx61b/TccIqq86hgji0cxl7xERevw3OYJOy+nk/Agqvv8y9ygRpNaPtkWQmpcfjNDj0rMRlP5uLz5kBC1dwl9PIkit17yN0L6+R5C3GnBHUN3ZFzK99I7U41d7JFVIxzOsdJF08l25u/NzRFJROaAuEkl7BvBMvGwk5Sx9enT1mpGk5i9NIsl53f6zV4dIWszDcLfekRQsC3xYJE3LyDPHSZHkyR87PDeSuLcKr74yUreLWyKpL9+2Xgci6bN3u4uuZyKp461pLvOvR5Js9jM8jtTu30QSq6lTKTaS6qZWyrYuMZLuPOYJd2okcafuaODjIPlr24McVLtjmUDPSAfdLDN8YssMDqoVcTT1QHYHydGDrYCDhsuCL+FAO+kgtXxT3UFJI7se71/fodun5g5S6x4dHDTYnyV1d5CaF/d30MOAhY+KjnBQQznRneAgnhxe/TDDQQ1kB7LQQXKUvGSlg3g2Vjh+o0P73OWgMVnOTtx0yEEu8uu0Q7cvlx2Uupdv3G0HsdZuvk8clHtG3/Kdohy0vdPu4yc/OiiXBBTvoM8n/HuO/OWgp+24xJMcul9KdVCTVq/6H3Y3iFuP7el8DFLz5wCD5Ow3PsigCcNv72saalCFpK+fT0caVHDVxLG5nAbG0Qap5ZUsBvoZg1jLmRt5DXKWXPCnUCGDtt/liRynXFUsWdigi648cuZU11vE0ONozp5yYFjUoOTWy4Ze5VTzlmIGhc0avOo25/osPPEpblB+OezmlNG0hEFq/ZFzS8ssK5qXNKgoN1MvOeUwrW0pg+r+ry8PyQx6dYwbotIGda/PLRSnbKZ6ljFoEl9NHGeIY1m+/sLQ7Qun8kaGbr845bejyxr0MC0fuZxBHZjtRE7ZCvqWN2ik/A/OgJ78rwqGbg85+az+hlY0aH+hq4FLONX4opKB+bdBLfh/M1Y26ONcHkhxqva1ikEectmUc07T2zPzVOXylH+IUzYvhapxecoJKKcc3peobpC8rBOcal2sBpenPCFOdfiaXJ78a1c5w+S3tQxa93x209uc+fundqtfm8uTq8dDzuryP+oY9KQE/4uzEw8rWtc1SC6+RnOOduWZbD2D0sgL5ORS4wMYej7GebA1l3gDQ49rOOXZD25oUCtZEJyqHjYySBana2ND9xOcahzZxNDzas6dfLqBTQ0qqU7IIHl4ezOD5K8t4lT9TnODeqsbb1AKccG2MGgal8Y6TrXe1tIgtfzUEvW2laH7Mc6a8ga0NvS4ibOLPEAbg2T1OcY5TlaLtoYe73Oq29jOILUKzXlYFnt7Q68rcKpi6mBQG1nhONVldTRoqCowg3zkaXQySK87GqR+rbNBu1/KimmQWt/uYhDXEs+vnGpe+Z9Bb0vJ/zBI1uKBXQ2Sd+sPp1pX72aQQ90Ag2R1HNvdoMLyAD0MktVnMqdqv3saevzIWVI2KL24PBcfWzibU62P9+bylMvZnL1lB9KHy1NOezl51hCfri+Xp5xIcar5ST+D1DI2p+pH+nN5ymaKU40XBnB57vvU7wDnz2o80BhokFov51TriYO4PIP5SJxydb7CYAPjDy7Px98Tqg3h8pTdDqfqz4ZyefKfuc9ZXQ5jhhkkf/yUUzbXTYcbep7OuWs+D3BGGHp+xLls+aVaHUcaup/nVMvJoww9PuK8LZfXRhvUUi6ocar+fgzXzzM3biVxqsOMNUitt40z9HiLc0c6+Q+D5OrqVM7LtfhMJhho1w2KHiH/ApcnD8cWcqZs51+YxOXJw+blk9DeTuby7McTQc4CcmFuikFyWWQzZ011YC7POzxw51TDj2lcnjxsPsA5drEcsBgki+MY5wq+zDIzuDxlA8wpf7vCTC5P/nOXONX4fxbaZ045vKkz29DjHE7v8ed+N5pjkBxWPuXMuG+11XKuoceNnKXkBc3j+jmEf4GzseqgDYrZfGXIF07VDy/g+inXSTnVOHQh1095YM5NK+MfDFtkEM8mP/zjVMW72ND97RKDVHFwqnHtUkOve3DK0wpeZujxAOcqPkz4ckPPPziPZOATXWFQZfkPzvt1eCCy0iD+K3wmBsWO6vEp+yqDhssC51Tju9UGqecBnGodbI2hxyWcsjqVWmvQdfk4ilPe/nLrDNLr0oaet683yNVdPpkwSBZvrQ0GmfIGcm7h4miw0aAi6gQMvQ6zydDjI049nzb0+henGp9vMYgrY49PnLJW9tjK/ZAla6RB6vnHNoPUOj5nVVng2w093udU1XiHodfjdnI/JKsdp1rn3WXocS2nWm/abZC6rZzydoXu4X5I3gZOdTf3GqSKjXOgKiCD1GVyytPPup/7IXlanGr+dsDQh+G8yP9d6CD3Q/JEOblW8j8MUo+JOP8yMzpskFRzjjNUFTj3Q1wKVzhlNa5x1CBZPW8dhfNjBj2Wy+7H4Pw490N8+59z6udPcH4Czk9yPyQr2Ek4PwXnp+D8NJyfhvMzcH4Gzs/C+Tk4Pwfn5+H8PJxfgPMLcH4Rzi/C+SU4vwTnl+H8MpxfgfMrcH4Vzq/C+TU4vwbn1+H8OpzfgPMbcH4Tzm/C+S04vwXnt+H8NpzfgfM7cH4Xzu/C+T04vwfn9+H8Ppw/gPMHcP4Qzh/C+SM4fwTnj+H8CZw/gfOncP4Uzp/B+TM4fw7nz+H8BZy/gPOXcP4Szl/B+Ss4fw3nr+E8Cs6j4DwazqPh/A2cv4HzGDiPgfO3cP4Wzt/B+Ts4fw/n7+H8A5x/gPOPcP4Rzj/B+Sc4/wznn+H8C5x/gfOvcP4Nzr/BeSycx8L5dzj/DudxcB4H5/FwHg/nP+D8B5wnwHkCnP+E859w/gvOf8F5IpwnwvlvOP8N53/g/A+cJ8F5Epz/hfO/cJ4M58lwngLnKXD+D87/wXkqnKfCuYupnXMq566mds6pnLuZ2rm7qZ1zKucepnbOqZx7mto5p3LuZWrnnHr9wtTOOT/s54m6j0kDanxvs5JTPZ/0NWn2MP4kp3LuZ2rnnHo91NTOOZXzAFM751TOA03tnFM5T2Nq55zKeVpTO+dUzoNMrFuY2nmwqZ1zKuc2UzvnVM7tpnbOqZyHmNo5p3IeamrnnMp5mKmdcyrn4aZ2zqmcR5iYP5vaOadepzK1c051WoapnXMq56apnXMq55apnXMq505TO+dUztOZ2jmncp7e1M45lfMMpnbOqZxnNLVzTuU8k6mdc6p13P+Z2jlna/kgJrOpnXMq51lM7ZxTOc9qauecynk2UzvnVM6zm9o5p3Kew9TOOZXznKZ2zqmc5+LybLB8xG/OQl/8Zg/LbeL5mqmdc+rntqZ2zqmc5zO1c051u/Kb2jmnmvcX4PJ81KLKUk7lvKCpnXOq0y9k6ud5nMp5YS5PuQ+Fc2Fyuyt5i5jaOeeenPzRoqZ2zqmcF+PylI9dOZXz4qZ+jsXpKv9wCZNm1qnU6xqnXN6vVdLU6/KcReTCZimT1PInZ13+WLPSXJ4v+Iuzm4RUxqTfAcfcYjgnMrfOgsuz1OKsnzjV9hXi8pQf5FTP78uaVGVpvT6/OB/KbRXlTGp/Je/CZE61jlyey1MesAKXp4TJqZ7HV+TylA+QOdU6YiUT645wXtmk5hb/5cpwXgXOq8B5VTjnlB/LWs3U67icxcpFnshd3SS1nYizvtz4VMOk1z5c0JxqH05NLs+i/EFOtS5ci8tTPkDmVOtWtU3KJ28I54ncfMF1TP0cnlM9f6prkto+xClvR5N6Jo3mYn7GGSgLpr5JsliiOLPJ7QcNTL2uyClPr1tDk27zn/3G2VIWYCNuN/ljCZyD5FdjbjflRgpOtf2riUny8bZLU2435f4VzhLyQpqZpPbtcKr1zebcbhbkCs2p10tNSuFqtZBzahJfcEtTr29zbuDbm66VSWofE6d6nt/aJFnMmznV88I2pn6uzqnWy9tyu8mXsZ9T7fNoZ5L8s8c41T6s9txu8sfOtIfzDtxuPtvb6FIHOO/I7SZzu8E5VBZ0J2435YVwcuntbdTZJFmdn3Du4mraogu3m7LCcMpq1e4/bjflBXOq7ShdTVL72jhT+bb16sbtptw/xCmLeUB3OO8O5z243ZTbtjjV86+e3G7y6Xn04nZT3mBOtU2ut6nX/Tn1erNJ8vHA/D5w3hfOOSUjqx+3m8xjNad6jtAfzjmHywo9AM4HwPlAk2R12TsQzgeZ+rkEp7xtpQbDOafaTjMEzofA+VA4Hwrnw+B8GJwPh/PhcD4CzkfA+Ug4Hwnno+B8FJyPhvPRcD4GzsfA+Vg4Hwvn4+B8PJyPh/MJcD4BzifC+UQ4nwTnk+B8MpxPhvMpcD4FzqfC+VQ4nwbn0+B8OpxPh/MZcD4DzmfC+Uw4nwXns+B8NpzPhvM5cD4HzufC+Vw4nwfn8+B8PpzPh/MFcL4AzhfC+UI4XwTni+B8MZwvgfMlcL4UzpfC+TI4Xwbny+F8OZyvgPMVcL4SzlfC+So4XwXnq+F8NZyvgXPO1yfTLC+4lstTbmjllMvSxdfB+To4Xw/n6+F8A5xvgPONcL4RzjfB+SY43wznm+F8C5xvgfOtcL4VzrfB+TY43w7n2+F8B5zvgPOdcL4LznfB+W443w3ne+B8D5zvhfO9cL4PzvfB+X443w/nB+D8AJwfhPODcH4Izg/B+WE4PwznR+D8CJwfhfOjcH4Mzo/B+XE4Pw7nJ+D8BJyfhPOTcH4Kzk/B+Wk4Pw3nZ+D8DJyfhfOzcH4Ozs/D+Xk4vwDnF+D8IpxfhPNLcH4Jzi/D+WU4vwLnV+D8KpxfhfNrcH4Nzq/D+XU4vwHnN+D8JpzfhPNbcH4Lzm/D+W04vwPnd+D8LpzfhfN7cM75+2yHrW3uc3k2u3f8Dac9vuytTg+4PKfsjvrIqbY9PuTyPDzD6zun3gcD54/g/DGcPzFJbRN/AudP4fwpnD+D82dw/hzOn8P5Czh/Aecv4ZxT7dd4xeWpHpCbpLYNv+bylBfwGs6j4DwK/Xk0+vNo9Odv4PwNnMfAeQycv4Xzt3D+Ds7fwfl7OH8P5x/g/AOcf4Tzj3D+Cc4/wflnOP8M51/g/Aucf4Xzr3D+Dc5j4TwWzr/D+Xc4j4PzODiPh3POcHnDfsD5DzhPgPMEOP8J5z/h/Bec/4LzRDhPhPPfcP4bzv/A+R84T4LzJDj/a+rnmpz6eS+X56QJze4lw3kKnHPq/c6m3gfBqd47SIVzTr1vytLOOafzd71cLYrs98gWz6n3Q1pUSG6U4DxTPFO1Ye4WqcNyPuePj/Gw6D8ZnpZ+ns8pd4H6eVkUfOko13SLVrbKfi3I26Kc8gOcR7j6h/lY+vk3p9p+5GuR2m/Oqfbl+FmktpNy+hp8BH+LFu4N6LOdM5PcaBpg0Z6ojwv2cpaRBRJo0bUg/oOcav9RGks/h+eUl1M2rUXyNC9wzuQ/XyXIIkOdmEXy47WCLb0/hFPtV7dZpHhyvpzHBWy3qJu8AE7lPMTSzjmV81BLO+dUzsMs7ZxTOQ+3SG4T/8XZXj4wjrD0/lhO5TzSIn9ZIA6LFnMxTuBUxWNYel8eJ8nLMS2SpzmHU+/bsugDH3YRp/q40yIZKzmV83SWds6pnKe3tHPOC7PkByyS28x2c6r+PKOl+3NO1Z9nsmgyV6/jnKHyQP+z9L4ZTv0eikUn+CyucKr9v1ksksV9i1O/j2CRagY51XPybJbe18ep9t1mt/S+Uc4DfNgOOSwqxx9/zymja06LWv4rn/SV8xPf7T65LFL7xzk91QVYNLcFf4BTbr8dkcciVa3zWlRCVRSLVDXMZ+n9dJzRstrkt0hWh1mcej+BRVP59i3gVM4LWqq4l3OqfYOFLDolhzuc6rILW6S2FXGq/f9FLJJ/fienOmxRi9Lyx/dzqihmUXZZQTkPcateuriln+NzSk7lS1jUWn6AU+1PKmlp55zKeSlLO+dU+4xLW6S6B07lvIyFfWOWdi4sigmRN8zSzskiWYyfCc7LwnlZOC8H5+XgvDycl4fzCnBeEc4rwnklOK8E55XhvDKcV4HzKnBeFc6rwnk1OK8G59XhvDqc14DzGnBeE85rwnktOK8F57XhvDac14HzOnBeF87rwnk9OK8H5/XhvD6cN4DzBnDeEM4bwnkjOG8E543hvDGcN4HzJnDeFM6bwXkzOG8O583hvAWct4DzlnDeEs5bwXkrOG8N563hvA2ct4HztnDeFs7bwXk7OG8P5+3hvAOcd4DzjnDeEc47wXknOO8M553hvAucd4Hz/+D8PzjvCudd4bwbnHeD8+5w3h3Oe8B5DzjvCee9LOwHtLBfCc57w3kfOO8D533hvC+c94PzfnDeH877w/kAOB8A5wPhfCCcD4LzQXA+GM4Hw/kQOB8C50PhfCicD4PzYXA+HM6Hw/kIOB8B5yPhfCScj4LzUXA+Gs5Hw/kYOB8D52PhfCycj4PzcXA+Hs4nwPkEOJ8I5xPhfBKcT4LzyXA+Gc6nwPkUOJ8K51PhfBqcT4Pz6XA+Hc5nwPkMOJ8J5zPhfBacz4Lz2XA+G87nwPkcOJ8L53PhfB6cz4Pz+XA+H84XwPkCOF8I5wvhfBGcL4LzxXC+GM6XwPlSOF8K58vgfBmcL4fz5XC+As5XwPlKOF8J56vgnFO9VrnaIrktdiPnwi4HI7Kv4fKUb4Nyqvdo1lp6vzynej9unaX3mXG++1lzUsn1cM4pf63sBjjfAOcb4XwjnG+C801wvhnON8P5FjjfAudb4XwrnG+D821wvh3Ot8P5DjjfAec74XwX+vNdcL4bznfD+R443wPne+F8L5zvg/N9cL4fzvfD+QE451T7Iw/COad6L/MQnB+C88Pcbsr34DgnlfQYVvwIt5tywyDn2q5Rq8RROD8K58e4PPPnfnSZU25Trn7cog7yxbzjcH4Czk/A+Uk4Pwnnp+D8FJyfhvPTcH6Gy1O+JnkGzs/C+Vk4Pwfn5+D8PJxfgPMLcH4Rzi/C+SU455RvMdsuwznnevka4BWL5GUtuwLnV7k8+TTWcKr3kq9xuylfKOFMkK8pX+d282jPojs508iCvcHlKd/vvAHnNy1S789xqvdlb3G7Kd+T5JTVtvxtLs+Bb65e5BwiD3DHIvk273XO+Vwt6tzl8pQvzHCq98bucXnKF5A5r3Cxt7jP5VmQBXCqfeIPuDzbFR73lvPfH76hDy39/gtnpHyN7xGXJx8+jlP+Wv/Hlt53zllL3vgnln5vgfM/eeJPuTyZlcczLs+3DIwzeATf6eeWfu+Kk5VNCHph0eHyfIGcleQBXlp6vymnel/zFZfnGq5Ir+D8NZy/hvMoOI+C82g4j4bzN3D+Bs5juN3kw5+MgfO3Fslvz3Oq98becbv5mQuWs7A88ffcbjr4PzjVvtwPFqnXkzm7cfVu9tHS+3451fuWn7jdlAfgVPtPP1t6Pz7nMb7d3b9wuylvFKd6n+mrRbLYf3J+l9v4v3G7KUF8Q38eC+ffud2UBcaptgfHWXjPgNtN/rU08ZZ+vZ7zQ3o+8g9uN2XBcsq3hBwJFs16z//BaY3if/3k8VEY3+mfcP6Lx0cV+Qb8gvNEi2Q1282p3jP5Dee/4fwPnP+B8yRLv6fIeYKLs+JfOP8L58lwzqneV0/hdlOeEKc8fJN/ln5fi1N+2yrVItbTNYqznCxYFyfdMvk3OCWrrq5O7ZxTvffg5iT1fj2nei/b3Unp5AVyymo2wsNJsvq4eDrpknw9mlO9R+HlJHkbp3D2kgXh7SRZ7LM4lXMfJ4VLEJzKua9TO+c8xafr9HNq55zKub9TO+dUzgOc2jmnch7o1M45JauiaZzaOadyntapnXMq50FO7ZxTOQ92auecyrnNqZ1zKud2p3bOqZyHOLVzTuU81KmdcyrnYU7tnFM5D3dq55zKeYRTO+dUziOd2jmncu5waueGUzvnVM5Np3bOqZxbTu2cUzl3OrVzTuU8nVM751TO0zu1c07lPINTO+dUzjM6tXNO5TyTUzvnVM7/59TOOZXzzE7tnFM5z+LUzjmV86xO7ZxTOc/m1M45lfPsTu2cUznP4dTOOfU+c6d2zqmc53Jq55zKeW6nds6pnOdxauecynlep3aez6mdcyrn+Z3aOadyXsCpnXMq5wWd2jmncl7IqZ1zKueFndo5p37fwamdcyrnRZ3aOadyXsypnXMq58Wd2jmncl7CqZ1zKuclndo5p3Jeisuz+KwVVzmV89JO7ZxTOS/j1M45lXPh1M45lXOCc4LzsnBeFs7LwXk5OC8P5+XhvAKcV4TzinBeCc4rwXllOK8M51XgvAqcV4XzqnBeDc6rwXl1OK8O5zXgvAac14TzmnBeC85rwXltOK8N53XgvA6c14XzunBeD87rwXl9OK8P5w3gvAGcN4TzhnDeCM4bwXljOG8M503gvAmcN4XzpnDeDM6bw3lzOG8B5y3gvCWct4TzVnDeCs5bw3lrOG8D523gvC2ct4XzdnDeDs7bw3l7OO8A5x3gvCOcd4TzTnDO+X8vi/D4</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>eJztz69Ow1AUwOH7AAjs3BwCsZopTEEjZqcgmZsiM9g+wiwOicLsRZY9wVQhgSXLskDC+BfO2UMs5PvMr7f39rQtBQ5L3W/ruHh4jta912j1uMlOttHp7D26PPqI3o9/8v7wKzq/2kUHo3L+15vL3L++/Y42d3mumWer9jPafcp53WnOP77Yv6eX88pZrtedt9w/3ezPrfO5k1WeG7zk95dcN4v8HwAAAAAAAAAAAAAAAAAAAAD4L34BxKI2EA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=203.083 Q3=116.100 sample=42 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="13932">
              <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>eJzt0j8LQVEYx3GlpHgBBuXPaFFewTXYLWTSXZRMFovpWsR7UKSMJjaluzGYZbTbTEZ5zjnqHvey6/tZfh3nPM99nHtjMQAA/oRXc8LXrhNY2+k0guferDq/F173q4+973bC5zB19r6pe/fvf//dZHKiMj3TfXcqF2fJ+vAu+fBT1Vcu9wXJ5LUsmTlWJIvrkmR2mpXsjuOSi/xN6p3mRT/npDJ3kPQSvp5jq3Ky0efWKtsrPdc8OG9rpNde+H2YtTvQ/9cN3sPHvUb4tW+fs/ub78HME/Xe7fkBAAAAAAAAAAAAAAAAAAAAAAAAAAAA4I88AQipTdI=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=207.078 Q3=144.000 sample=42 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="13932">
              <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="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>eJzt0q1Ow1AYgOFdCpdSs4SgMFzCzAxqkjDUEpKZBQEJSxpQs0gUBoWaQaNhYmbBLul3jmiTUtIgSPY85k3P1/T0bzAAgH9mOiz+9DrNdp332+u2rRdnP8+ztvOa8+1ltLyJvj1VfdmsqxYPn1Wnm13MX7+rHi2+Yl6+x/ryOXq/ip48Ro/vUudpv1n09jqtX9XvI7cYRU8n6fgi+nGe7ndcb17Pz9U8bns/bfOs67v1/Z/67gcAAAAAAAAAAAAAAAAAAHBA9sNSP18=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=209.030 Q3=85.000 sample=42 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="13932">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="184">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0bENwzAMBECPkQncu3HlwvtPlSJhkQceShcguGsIiZRE09sGAAAA/26/X/Fxf+7nev8y3+7Lcy1/vvePqGtx6vLdVpf72ffE6WO0+9tcsq9m8kfEfG/1n1b1+f3t3clfsW7zGtn3al4Zr1ifsV7NJ88DAAAAAAAAAAAAAAAA/N4TlL8dmw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=212.002 Q3=79.900 sample=42 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="13932">
              <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="520">
              <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=42 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="13932">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="208">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0aENwkAUgOHOgsMxwhkSSLD4GhZAomrqGaEewwyECQgCAxNgwGBJ+oooCkIaEvg+8yf3cne5NssAgJ9QDFOr7+57db1zedw7KqPVMnpd1S3ybd00PtUdnC8x3x9j3o+m6hDt7WI+2URv6/a51bzpIvp4d5o1nbbXn3X1nT4992v/DwAAAAAAAAAAAAAAAAAA+Cd3+NwkLg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=219.078 Q3=144.000 sample=42 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="13932">
              <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>eJwt22VAFU0bBmC6UTiHPLt7rM/ubuexu7s7Xru7u7u7u7u7u7tA7EAQRRHke2bm5s8teFh2Z+ea2tkyed3q7D1bTYx5teRNbFwLsfNx64G1nZ3EsjPxSRvP9RAVHpwVo/b3FUerBrjlnDRQ7BsWv7tOt6Eix/eS/ZJLjxTUbEqnaXPGilzGuSkPAiaKRiN2Hmw3agqON108XF1ucpkCs0UN9YM5OM5Ckd1WvGtf5zKx6GnHu0cOrBInl38ZEjx6rchXY6NfpcwbRPjcjQ2Wj9gsnvzI6JI553ZR42uBj8+f7hL/q7ml2N/ve8TVxrEte//YJ7bvkCd8UMxwP9t2+LbDYuGMqPNdvY6JUifqLcww84To8yuq4Be/08Le9ty9nB3PiAPX1vfrduqsaFxkon1b5HnxZ3XnfZ/6XRDL/KvWz3Hzoig9MMeP/7JdFq9e+8/bMvaKGFNd/uGrItPBm3ezFb0uLqTf3bfLnBui87Q5ts2fbwqPYcX5FG+LhvlybLHfvi02vnUMKTjijkhcKg94V9R7UTV/7kd3xbq5JVxrjr+Hcrsvjj6dmtIx8b6oduHJpFu7H4g7GZ/9Gdn1oWgbmGP8h0yPRHzi4DT1XjwSY6MvLT628LGw3wjLlLnOE7HuUMcdM32fihyhndOVOfdUHE09sGXT8Gei+iePQsFFnos7lb02no59LtoWkGf0QsSb64/Oa/dSDB66IVd585Xw7ZhwcPuDV+LGpjXpp1V+LbLEjFt5Y+trkdRUBBVMEyVu3koas7hPlMga8CL16f0oMbrKqRFWsWjxZPyav62XRYsCZ8YNWfsvWkzjs49p+0bEFK8yIOuFN6LC7kXzSueNEdm/Bp7MtyRGTG7f8nkl97eix+p7XiV6vEU5vBV76y+pXb7sO7FodtqhRba9E4lerRfXCH0vnpWXFe29KHn0f1ENP74X6VUBfhCje3zK3vrEB9Fxa5sG9bJ+FNXePxxZcc5HkfNO9/z13D6JuWOyc4l+En/yv9uZOeaTaB29tkfahp/Fxbmtc/258FnkLm9+ji7yRcz78XjL9U1fRNK6BV0ORnwVbfloq6d8FZc80r6bkvRV5FEV45uYy3d14Jtv4mev8QWGNo8VUe86p9D1WPGmecXuKzJ/F4uzfnrl0/G7+Ccvf813ca4Dn9jd76LYnqUs5rtYWOlIhn3p40TY32vfrpSPEwt2vTz2ulOciHDN1rTtjDjRrvHo5912xul6eytOLP9YvcX+r3FieuZTTeL948VwdePihW3c6atrKsaL2PWLF3brEC+uXezdrvC4eLHpQ5U8qWvixTi/DEmXT8eLNnyVc1/Fi1K17sxp8S9eRPTe0jKL9UMkzJEF80Pc3tf055FmP8SOB/n5zv3Affwhzt5O2VXzxA+RvCXubs3oH2Lwu9/DSnkniD2nvqwslStBfF78+kypugmi84P3XXMOTBCrdz6bkXNZgpCl6TidIBqdf9jU8TZBzFpxdbjD76c4VqPEoV85f4oNfLoxNX/qetjrpwjZWTlq6PyfoknIFLPwkZ9i2VCW++Kn+LXoxbxJnr/Ew2Hhz5Nz/RJBXBvKNP4lvEPL8an/EuMG9q96dtsvMTR49NzQh7/E/rSr2jZ2SRSqeuVI1PWzQaJo45d80xyVKJps8OZLTxRz1mV5v+deori2puLBHymJwmN1hwmFs/0WZVaOazCo3m8xePnaTEeG/xbv7tWZfWHdb7G4pyzp36Kq7/0Bx+J+o378EXwyzfeIP8I9plW/DP/9EeUTTxX5Of8Pyv2P8BqzoPy0L3/ER1evFl3Dk4SsRUXLJYlBuTOkS+ieJCaO+tcl89IkEbnY7VTBS0mia80fM+snJIljbvKAf0XA4ft55tX6K1r2uPBv77C/YmdGbmA2/xWpjzaujH/wV9SZsainzT1ZrJHNZ75kUaj59PnUMllMCBrRoc3UZPHwQo9Cow8li6zDWnmsjkkWg/PVvn8qOEX4bDebdSiZgnqaIrKpBiNFbIvMtavX0RSRZ/bq3/nfpYg9XlzQwf/E6+XBG06U/Qf3/1Cv/+n7f+efmPt9a4KLe6pY7/Hp6ItiqeJgRPYxR3umimqNmozzW5Oqnd5LFc0cbyded3OhDdFfznWOcCH/p3cy++Z1oZvtNxVYVcmF5nwdLgq3cqGGg+rVuDbAhbQHFypmfQv6ssGFDk3aOmHUSReaN77xBu/HLqTaxe8u5MbFu8jXlY5UelmjdUZX6jOpTd6sJV1p05BL2UvUcyXVTHR1pSrHa3fpPtaVuNEf0GeZK+l+y5VqGx/2j7npSk1Vw+pKx18zaBc3GrSkf8+v4W50z13eCTfK23Od6/GKbvQxS36f7S3caF2mI8mT+rsRd4ZhXWe4UbVh4/LW2OhGrHRa5lNu9D2sSp3kx26UUJlbojg3auifmnzHz50qZqxc82Ymd9L3wZ2uFY7vlFTPnWaeutRvdld3Us3kWHdS3e5Sd9rZPSBro33udHPy3Zevr7mTrIZ93rrT29vcIfxzp/TmxUNTIzyoeef/5hsFPKhoh7D966p70K2yW0tm7+RBshfYOdqD+K9XK7TMg3R/6kF5D/9pKm570FIfY2Wrjx4ke9UBbp7U4OTQ2LGGJ6n+s6AnqeayuifJ3jGynSdVYjX3B3tS1vd76i+Z5UmrSuW6v3SjJ8la3eiEJ3Epedrue5LqNz55kvLq6kVTEn1n1Izwoi7duWXJ60Xyry2t4kX/e5m1UJG2XrRm+suFB4Z60Ygp0w6Wnu9FTScWe3hhhxc9KhRbrOIlL9qXf3mTG6+9KI/q4L3oW2EeAYR4U5ysfnm8yWjgc6dyJW+qmGKsmd7Km3ptzNvnzkBvGpW+kxk005tm8OFLbPSmlSH3+s447k3cGZY6cdebup1aWyXmgzet48v0T/Wmpwa3sKE+ZLv6oUfTnD705W2HW9PIh/wl6wY+1NV9RZHb//nQlbdi/auRPpTtcnRw7Dwf4s5id9QW/PykD6nu8Z4PqX7lvQ/J2/Q4yYcmxe3IeDCNL6l+N6MvJZfmhqeoL20OWjsroIYvNXizYdn5Nr6oX74U1/56y+qTfSljyq8Br5f70i/3/G9G7/alK37d6mQ470tR+U42PP/Ql1T79tGXel1rZtmTffF3/GhVOEPK4Eeh06vxCMCPcu9dEbupkh9lzS9roB9l8d1VLW1vP/LbO/j83/F+xI1ZtQtL/OjUx96T2uzCz8/7UWLOqRVmPvWjt23XPCwU60ey9b3r7k8fKrpUaxThT8k/uKLn8ifVDpO/vv76/nT+d6Pg5p399fUP9ad7UWnOtJrpT9zalHi+xp/UuOSgP229zgOOa/6k2o0of33/fvnTgxV8wwID6JkcDv0vgFR/XzqAMtd59PViwwDqHnMjIXPPAFKnPzGAlp48X/HZygAq/XZbYp7DATT2BA8c7wRQeCb5GwH0fdPF6kV9A+lyri6VF/0vkJ7y6ConBdK+gD7bpzUPJDVsGxhIhwweAc4LJNnbZN8dSDeuy69A+iMv52Mg9Wy6rf1Y7zQ0PrD2rvmZ05AslWIV09DZ8Cz1Pdunoegm4YfujE5DHo3ScJGnIf7purlH0xC3ChH9HqUh3d6nIXVbgtPSbvf307PlTktyVDS4eloK5NN51iUtsaYQMTEtdVs6aPnadWmpjGoY0lLQ+enuZ6PSkvqYSxA9blFlab3gIOrJrT5lDKL7MaUG5igYRGqcXj6ICsiOp0EQyeFFng5B2ln/IOovAYwP0uczP4hON09fNm5dEG04cSY8y74gmpqu/bdmZ4NIjePvBBEPPt3rvw6iKwNPrnLEBlGgZ9NS0SlBVE9W9IBg3b4awfRsVzZb8RzBtHNO0XuLigVTqwXONqcrBtPLPlNnxtQLJtX8tQ6manLg0C2YIqqP3BMzKJjUMHp8MKnh1+xgGiuHb8v592QzsTmYZDNabX8wFZcd3Olg6sSjXef1YPQLwbSLhyHGm2DdfnwNpg6yQH8H08ri/5y3XG2kmkl/G7VduXlUphAbNb93/E2IZaPMPKp0zWLT/UEeG1XNk5ohpYiN+nWRPZNN3+/KNlrSh4pNr22j+e2a7ZzT2Eaz83PBtrbRdJf523d3slGTzYVvlOxp0/VzgI22jMo0/84wm67vY2zEd2ds9CQbefDt/jrDRpPCntxMnGejZ86tYf+W2EjNc1bbqOz1YunNjTZacN+3S8btNpKTm2x7bdSDu4OCh22kpgknbVRBfp23UeyVc+V2XOHz49Fz2C2b7t/u2+hbs3JlPjzhn8vh2isble9UtuTRGP7559PFM33C9cTyz+X4JYF/LrvhJBupYUkq/1wOLzzt9FtON3zttOM/voNp7KTG1XY7Ve77J+3HcDsNkRdu2OmZ7F7S2SlQTugy2Unwb4/MaqfVgitQTjvdzcwNTl47echutaCdinD3Zytqp0Wps0f+LWHX7WcZO8nh8blydmrxJKLW9kp23T9Ws9PpDQOX9K/F3+fkCWVDO+XiZmlpCzvJ5npbezup8VpXPu6NkrXu9LETV9ZB7wbbac0e3/KJo/h8eBbjM8lOL3rykWfaaZvsPhbYSc7uyiy3U72qK0ZnWWvX9WQbH79jZHSTQ3b63oYrzDk7HWiRqdfGW7jeZzi/d3btI85OP/aNTN8p2a77Le8QmpGNR6RBIdRPFrwjhLLLDjpTCL3K0e5zrtwhJFlsKBJCNWwshEL0eKZqCMnuOah+CPX82jhkSosQkt2bV6cQUsPZXiF0JvZ6XOLgEBr05urF3mNDKPejy8s+Tgsh+W27BSG6HFeG0KgnpflUQ3R57AmhL3zbqx0LobX7i/4+ez6EJsvm72YI8SjB5cijEJKzv/xRIbRtK399CtFOEkJIzbdTQujGhPXZQ71DaTzP8mYEhZLi5Ail9JMjvcdnCiU9Xg+l6b1C9wwoEkrl2tsnfhOhut2sGkrc2+R7XS+UFnTkGWCLUKouoXYMJZ78BtbuFUqHmcelwaG6HRsbSv/LNnL6kWmhul9eEEqneZS9a2UoqWn45lDK7Ywrs2ZPKL0JjrU7joXSEs+vH+aeD6Xafz6d8L8ZSl787fhHoXpc9zqU5PBj19dQsuS0NykU1xNGIztzDbOHUd6qgxsOTR+G+xNGswO4IhcPIzXgqBRGcbfS7ahQP0zXp9Zhut3rHkZuA7hGDQmjfY14xjgxjNrLCd/cMHobn+5ur1VhcBymx0+Hw0jNby6E6XHq3TDi2cSpLy/D4DGMZLeczyWchn5p8O5eUDjJWe6gDOEY54Xr864crvv7FuEULL/6hFNlHgZHjw2n4dsm79g3P5zG1eUKvTFc99OHw0kNc8+F07P79U8OvRVODZeP+B3wLFyPw9+FUxU5cY4Pp7NyeSclnNR82zeCDoypZXwIiUD5ROjxSq4Ikqs9S4tGUHe1gBBB7+Twp1YEtfa+GVm3WQRx61b/TccIqq86hgji0cxl7xERevw3OYJOy+nk/Agqvv8y9ygRpNaPtkWQmpcfjNDj0rMRlP5uLz5kBC1dwl9PIkit17yN0L6+R5C3GnBHUN3ZFzK99I7U41d7JFVIxzOsdJF08l25u/NzRFJROaAuEkl7BvBMvGwk5Sx9enT1mpGk5i9NIsl53f6zV4dIWszDcLfekRQsC3xYJE3LyDPHSZHkyR87PDeSuLcKr74yUreLWyKpL9+2Xgci6bN3u4uuZyKp461pLvOvR5Js9jM8jtTu30QSq6lTKTaS6qZWyrYuMZLuPOYJd2okcafuaODjIPlr24McVLtjmUDPSAfdLDN8YssMDqoVcTT1QHYHydGDrYCDhsuCL+FAO+kgtXxT3UFJI7se71/fodun5g5S6x4dHDTYnyV1d5CaF/d30MOAhY+KjnBQQznRneAgnhxe/TDDQQ1kB7LQQXKUvGSlg3g2Vjh+o0P73OWgMVnOTtx0yEEu8uu0Q7cvlx2Uupdv3G0HsdZuvk8clHtG3/Kdohy0vdPu4yc/OiiXBBTvoM8n/HuO/OWgp+24xJMcul9KdVCTVq/6H3Y3iFuP7el8DFLz5wCD5Ow3PsigCcNv72saalCFpK+fT0caVHDVxLG5nAbG0Qap5ZUsBvoZg1jLmRt5DXKWXPCnUCGDtt/liRynXFUsWdigi648cuZU11vE0ONozp5yYFjUoOTWy4Ze5VTzlmIGhc0avOo25/osPPEpblB+OezmlNG0hEFq/ZFzS8ssK5qXNKgoN1MvOeUwrW0pg+r+ry8PyQx6dYwbotIGda/PLRSnbKZ6ljFoEl9NHGeIY1m+/sLQ7Qun8kaGbr845bejyxr0MC0fuZxBHZjtRE7ZCvqWN2ik/A/OgJ78rwqGbg85+az+hlY0aH+hq4FLONX4opKB+bdBLfh/M1Y26ONcHkhxqva1ikEectmUc07T2zPzVOXylH+IUzYvhapxecoJKKcc3peobpC8rBOcal2sBpenPCFOdfiaXJ78a1c5w+S3tQxa93x209uc+fundqtfm8uTq8dDzuryP+oY9KQE/4uzEw8rWtc1SC6+RnOOduWZbD2D0sgL5ORS4wMYej7GebA1l3gDQ49rOOXZD25oUCtZEJyqHjYySBana2ND9xOcahzZxNDzas6dfLqBTQ0qqU7IIHl4ezOD5K8t4lT9TnODeqsbb1AKccG2MGgal8Y6TrXe1tIgtfzUEvW2laH7Mc6a8ga0NvS4ibOLPEAbg2T1OcY5TlaLtoYe73Oq29jOILUKzXlYFnt7Q68rcKpi6mBQG1nhONVldTRoqCowg3zkaXQySK87GqR+rbNBu1/KimmQWt/uYhDXEs+vnGpe+Z9Bb0vJ/zBI1uKBXQ2Sd+sPp1pX72aQQ90Ag2R1HNvdoMLyAD0MktVnMqdqv3saevzIWVI2KL24PBcfWzibU62P9+bylMvZnL1lB9KHy1NOezl51hCfri+Xp5xIcar5ST+D1DI2p+pH+nN5ymaKU40XBnB57vvU7wDnz2o80BhokFov51TriYO4PIP5SJxydb7CYAPjDy7Px98Tqg3h8pTdDqfqz4ZyefKfuc9ZXQ5jhhkkf/yUUzbXTYcbep7OuWs+D3BGGHp+xLls+aVaHUcaup/nVMvJoww9PuK8LZfXRhvUUi6ocar+fgzXzzM3biVxqsOMNUitt40z9HiLc0c6+Q+D5OrqVM7LtfhMJhho1w2KHiH/ApcnD8cWcqZs51+YxOXJw+blk9DeTuby7McTQc4CcmFuikFyWWQzZ011YC7POzxw51TDj2lcnjxsPsA5drEcsBgki+MY5wq+zDIzuDxlA8wpf7vCTC5P/nOXONX4fxbaZ045vKkz29DjHE7v8ed+N5pjkBxWPuXMuG+11XKuoceNnKXkBc3j+jmEf4GzseqgDYrZfGXIF07VDy/g+inXSTnVOHQh1095YM5NK+MfDFtkEM8mP/zjVMW72ND97RKDVHFwqnHtUkOve3DK0wpeZujxAOcqPkz4ckPPPziPZOATXWFQZfkPzvt1eCCy0iD+K3wmBsWO6vEp+yqDhssC51Tju9UGqecBnGodbI2hxyWcsjqVWmvQdfk4ilPe/nLrDNLr0oaet683yNVdPpkwSBZvrQ0GmfIGcm7h4miw0aAi6gQMvQ6zydDjI049nzb0+henGp9vMYgrY49PnLJW9tjK/ZAla6RB6vnHNoPUOj5nVVng2w093udU1XiHodfjdnI/JKsdp1rn3WXocS2nWm/abZC6rZzydoXu4X5I3gZOdTf3GqSKjXOgKiCD1GVyytPPup/7IXlanGr+dsDQh+G8yP9d6CD3Q/JEOblW8j8MUo+JOP8yMzpskFRzjjNUFTj3Q1wKVzhlNa5x1CBZPW8dhfNjBj2Wy+7H4Pw490N8+59z6udPcH4Czk9yPyQr2Ek4PwXnp+D8NJyfhvMzcH4Gzs/C+Tk4Pwfn5+H8PJxfgPMLcH4Rzi/C+SU4vwTnl+H8MpxfgfMrcH4Vzq/C+TU4vwbn1+H8OpzfgPMbcH4Tzm/C+S04vwXnt+H8NpzfgfM7cH4Xzu/C+T04vwfn9+H8Ppw/gPMHcP4Qzh/C+SM4fwTnj+H8CZw/gfOncP4Uzp/B+TM4fw7nz+H8BZy/gPOXcP4Szl/B+Ss4fw3nr+E8Cs6j4DwazqPh/A2cv4HzGDiPgfO3cP4Wzt/B+Ts4fw/n7+H8A5x/gPOPcP4Rzj/B+Sc4/wznn+H8C5x/gfOvcP4Nzr/BeSycx8L5dzj/DudxcB4H5/FwHg/nP+D8B5wnwHkCnP+E859w/gvOf8F5IpwnwvlvOP8N53/g/A+cJ8F5Epz/hfO/cJ4M58lwngLnKXD+D87/wXkqnKfCuYupnXMq566mds6pnLuZ2rm7qZ1zKucepnbOqZx7mto5p3LuZWrnnHr9wtTOOT/s54m6j0kDanxvs5JTPZ/0NWn2MP4kp3LuZ2rnnHo91NTOOZXzAFM751TOA03tnFM5T2Nq55zKeVpTO+dUzoNMrFuY2nmwqZ1zKuc2UzvnVM7tpnbOqZyHmNo5p3IeamrnnMp5mKmdcyrn4aZ2zqmcR5iYP5vaOadepzK1c051WoapnXMq56apnXMq55apnXMq505TO+dUztOZ2jmncp7e1M45lfMMpnbOqZxnNLVzTuU8k6mdc6p13P+Z2jlna/kgJrOpnXMq51lM7ZxTOc9qauecynk2UzvnVM6zm9o5p3Kew9TOOZXznKZ2zqmc5+LybLB8xG/OQl/8Zg/LbeL5mqmdc+rntqZ2zqmc5zO1c051u/Kb2jmnmvcX4PJ81KLKUk7lvKCpnXOq0y9k6ud5nMp5YS5PuQ+Fc2Fyuyt5i5jaOeeenPzRoqZ2zqmcF+PylI9dOZXz4qZ+jsXpKv9wCZNm1qnU6xqnXN6vVdLU6/KcReTCZimT1PInZ13+WLPSXJ4v+Iuzm4RUxqTfAcfcYjgnMrfOgsuz1OKsnzjV9hXi8pQf5FTP78uaVGVpvT6/OB/KbRXlTGp/Je/CZE61jlyey1MesAKXp4TJqZ7HV+TylA+QOdU6YiUT645wXtmk5hb/5cpwXgXOq8B5VTjnlB/LWs3U67icxcpFnshd3SS1nYizvtz4VMOk1z5c0JxqH05NLs+i/EFOtS5ci8tTPkDmVOtWtU3KJ28I54ncfMF1TP0cnlM9f6prkto+xClvR5N6Jo3mYn7GGSgLpr5JsliiOLPJ7QcNTL2uyClPr1tDk27zn/3G2VIWYCNuN/ljCZyD5FdjbjflRgpOtf2riUny8bZLU2435f4VzhLyQpqZpPbtcKr1zebcbhbkCs2p10tNSuFqtZBzahJfcEtTr29zbuDbm66VSWofE6d6nt/aJFnMmznV88I2pn6uzqnWy9tyu8mXsZ9T7fNoZ5L8s8c41T6s9txu8sfOtIfzDtxuPtvb6FIHOO/I7SZzu8E5VBZ0J2435YVwcuntbdTZJFmdn3Du4mraogu3m7LCcMpq1e4/bjflBXOq7ShdTVL72jhT+bb16sbtptw/xCmLeUB3OO8O5z243ZTbtjjV86+e3G7y6Xn04nZT3mBOtU2ut6nX/Tn1erNJ8vHA/D5w3hfOOSUjqx+3m8xjNad6jtAfzjmHywo9AM4HwPlAk2R12TsQzgeZ+rkEp7xtpQbDOafaTjMEzofA+VA4Hwrnw+B8GJwPh/PhcD4CzkfA+Ug4Hwnno+B8FJyPhvPRcD4GzsfA+Vg4Hwvn4+B8PJyPh/MJcD4BzifC+UQ4nwTnk+B8MpxPhvMpcD4FzqfC+VQ4nwbn0+B8OpxPh/MZcD4DzmfC+Uw4nwXns+B8NpzPhvM5cD4HzufC+Vw4nwfn8+B8PpzPh/MFcL4AzhfC+UI4XwTni+B8MZwvgfMlcL4UzpfC+TI4Xwbny+F8OZyvgPMVcL4SzlfC+So4XwXnq+F8NZyvgXPO1yfTLC+4lstTbmjllMvSxdfB+To4Xw/n6+F8A5xvgPONcL4RzjfB+SY43wznm+F8C5xvgfOtcL4VzrfB+TY43w7n2+F8B5zvgPOdcL4LznfB+W443w3ne+B8D5zvhfO9cL4PzvfB+X443w/nB+D8AJwfhPODcH4Izg/B+WE4PwznR+D8CJwfhfOjcH4Mzo/B+XE4Pw7nJ+D8BJyfhPOTcH4Kzk/B+Wk4Pw3nZ+D8DJyfhfOzcH4Ozs/D+Xk4vwDnF+D8IpxfhPNLcH4Jzi/D+WU4vwLnV+D8KpxfhfNrcH4Nzq/D+XU4vwHnN+D8JpzfhPNbcH4Lzm/D+W04vwPnd+D8LpzfhfN7cM75+2yHrW3uc3k2u3f8Dac9vuytTg+4PKfsjvrIqbY9PuTyPDzD6zun3gcD54/g/DGcPzFJbRN/AudP4fwpnD+D82dw/hzOn8P5Czh/Aecv4ZxT7dd4xeWpHpCbpLYNv+bylBfwGs6j4DwK/Xk0+vNo9Odv4PwNnMfAeQycv4Xzt3D+Ds7fwfl7OH8P5x/g/AOcf4Tzj3D+Cc4/wflnOP8M51/g/Aucf4Xzr3D+Dc5j4TwWzr/D+Xc4j4PzODiPh3POcHnDfsD5DzhPgPMEOP8J5z/h/Bec/4LzRDhPhPPfcP4bzv/A+R84T4LzJDj/a+rnmpz6eS+X56QJze4lw3kKnHPq/c6m3gfBqd47SIVzTr1vytLOOafzd71cLYrs98gWz6n3Q1pUSG6U4DxTPFO1Ye4WqcNyPuePj/Gw6D8ZnpZ+ns8pd4H6eVkUfOko13SLVrbKfi3I26Kc8gOcR7j6h/lY+vk3p9p+5GuR2m/Oqfbl+FmktpNy+hp8BH+LFu4N6LOdM5PcaBpg0Z6ojwv2cpaRBRJo0bUg/oOcav9RGks/h+eUl1M2rUXyNC9wzuQ/XyXIIkOdmEXy47WCLb0/hFPtV7dZpHhyvpzHBWy3qJu8AE7lPMTSzjmV81BLO+dUzsMs7ZxTOQ+3SG4T/8XZXj4wjrD0/lhO5TzSIn9ZIA6LFnMxTuBUxWNYel8eJ8nLMS2SpzmHU+/bsugDH3YRp/q40yIZKzmV83SWds6pnKe3tHPOC7PkByyS28x2c6r+PKOl+3NO1Z9nsmgyV6/jnKHyQP+z9L4ZTv0eikUn+CyucKr9v1ksksV9i1O/j2CRagY51XPybJbe18ep9t1mt/S+Uc4DfNgOOSwqxx9/zymja06LWv4rn/SV8xPf7T65LFL7xzk91QVYNLcFf4BTbr8dkcciVa3zWlRCVRSLVDXMZ+n9dJzRstrkt0hWh1mcej+BRVP59i3gVM4LWqq4l3OqfYOFLDolhzuc6rILW6S2FXGq/f9FLJJ/fienOmxRi9Lyx/dzqihmUXZZQTkPcateuriln+NzSk7lS1jUWn6AU+1PKmlp55zKeSlLO+dU+4xLW6S6B07lvIyFfWOWdi4sigmRN8zSzskiWYyfCc7LwnlZOC8H5+XgvDycl4fzCnBeEc4rwnklOK8E55XhvDKcV4HzKnBeFc6rwnk1OK8G59XhvDqc14DzGnBeE85rwnktOK8F57XhvDac14HzOnBeF87rwnk9OK8H5/XhvD6cN4DzBnDeEM4bwnkjOG8E543hvDGcN4HzJnDeFM6bwXkzOG8O583hvAWct4DzlnDeEs5bwXkrOG8N563hvA2ct4HztnDeFs7bwXk7OG8P5+3hvAOcd4DzjnDeEc47wXknOO8M553hvAucd4Hz/+D8PzjvCudd4bwbnHeD8+5w3h3Oe8B5DzjvCee9LOwHtLBfCc57w3kfOO8D533hvC+c94PzfnDeH877w/kAOB8A5wPhfCCcD4LzQXA+GM4Hw/kQOB8C50PhfCicD4PzYXA+HM6Hw/kIOB8B5yPhfCScj4LzUXA+Gs5Hw/kYOB8D52PhfCycj4PzcXA+Hs4nwPkEOJ8I5xPhfBKcT4LzyXA+Gc6nwPkUOJ8K51PhfBqcT4Pz6XA+Hc5nwPkMOJ8J5zPhfBacz4Lz2XA+G87nwPkcOJ8L53PhfB6cz4Pz+XA+H84XwPkCOF8I5wvhfBGcL4LzxXC+GM6XwPlSOF8K58vgfBmcL4fz5XC+As5XwPlKOF8J56vgnFO9VrnaIrktdiPnwi4HI7Kv4fKUb4Nyqvdo1lp6vzynej9unaX3mXG++1lzUsn1cM4pf63sBjjfAOcb4XwjnG+C801wvhnON8P5FjjfAudb4XwrnG+D821wvh3Ot8P5DjjfAec74XwX+vNdcL4bznfD+R443wPne+F8L5zvg/N9cL4fzvfD+QE451T7Iw/COad6L/MQnB+C88Pcbsr34DgnlfQYVvwIt5tywyDn2q5Rq8RROD8K58e4PPPnfnSZU25Trn7cog7yxbzjcH4Czk/A+Uk4Pwnnp+D8FJyfhvPTcH6Gy1O+JnkGzs/C+Vk4Pwfn5+D8PJxfgPMLcH4Rzi/C+SU455RvMdsuwznnevka4BWL5GUtuwLnV7k8+TTWcKr3kq9xuylfKOFMkK8pX+d282jPojs508iCvcHlKd/vvAHnNy1S789xqvdlb3G7Kd+T5JTVtvxtLs+Bb65e5BwiD3DHIvk273XO+Vwt6tzl8pQvzHCq98bucXnKF5A5r3Cxt7jP5VmQBXCqfeIPuDzbFR73lvPfH76hDy39/gtnpHyN7xGXJx8+jlP+Wv/Hlt53zllL3vgnln5vgfM/eeJPuTyZlcczLs+3DIwzeATf6eeWfu+Kk5VNCHph0eHyfIGcleQBXlp6vymnel/zFZfnGq5Ir+D8NZy/hvMoOI+C82g4j4bzN3D+Bs5juN3kw5+MgfO3Fslvz3Oq98becbv5mQuWs7A88ffcbjr4PzjVvtwPFqnXkzm7cfVu9tHS+3451fuWn7jdlAfgVPtPP1t6Pz7nMb7d3b9wuylvFKd6n+mrRbLYf3J+l9v4v3G7KUF8Q38eC+ffud2UBcaptgfHWXjPgNtN/rU08ZZ+vZ7zQ3o+8g9uN2XBcsq3hBwJFs16z//BaY3if/3k8VEY3+mfcP6Lx0cV+Qb8gvNEi2Q1282p3jP5Dee/4fwPnP+B8yRLv6fIeYKLs+JfOP8L58lwzqneV0/hdlOeEKc8fJN/ln5fi1N+2yrVItbTNYqznCxYFyfdMvk3OCWrrq5O7ZxTvffg5iT1fj2nei/b3Unp5AVyymo2wsNJsvq4eDrpknw9mlO9R+HlJHkbp3D2kgXh7SRZ7LM4lXMfJ4VLEJzKua9TO+c8xafr9HNq55zKub9TO+dUzgOc2jmnch7o1M45JauiaZzaOadyntapnXMq50FO7ZxTOQ92auecyrnNqZ1zKud2p3bOqZyHOLVzTuU81KmdcyrnYU7tnFM5D3dq55zKeYRTO+dUziOd2jmncu5waueGUzvnVM5Np3bOqZxbTu2cUzl3OrVzTuU8nVM751TO0zu1c07lPINTO+dUzjM6tXNO5TyTUzvnVM7/59TOOZXzzE7tnFM5z+LUzjmV86xO7ZxTOc/m1M45lfPsTu2cUznP4dTOOfU+c6d2zqmc53Jq55zKeW6nds6pnOdxauecynlep3aez6mdcyrn+Z3aOadyXsCpnXMq5wWd2jmncl7IqZ1zKueFndo5p37fwamdcyrnRZ3aOadyXsypnXMq58Wd2jmncl7CqZ1zKuclndo5p3Jeisuz+KwVVzmV89JO7ZxTOS/j1M45lXPh1M45lXOCc4LzsnBeFs7LwXk5OC8P5+XhvAKcV4TzinBeCc4rwXllOK8M51XgvAqcV4XzqnBeDc6rwXl1OK8O5zXgvAac14TzmnBeC85rwXltOK8N53XgvA6c14XzunBeD87rwXl9OK8P5w3gvAGcN4TzhnDeCM4bwXljOG8M503gvAmcN4XzpnDeDM6bw3lzOG8B5y3gvCWct4TzVnDeCs5bw3lrOG8D523gvC2ct4XzdnDeDs7bw3l7OO8A5x3gvCOcd4TzTnDO+X8vi/D4</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="168">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0bEKgzAUBdB8mltXt8ydurj0j/spgtXlQhpFCgrnLBfN8+WZlAIAcAV1WGJ8f7O81nzE82Z7X6Ou4TNFffbJrJE5T+6bfVfD8/dcTZ3/6a636vO7o33OznFUnuvO+z6tdU7/3hcAAAAAAAAAAAAAAAAAAO5lBsLbFDE=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=220.083 Q3=59.200 sample=42 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="13932">
              <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>eJzt0DEKwjAUBmCP5BG6eARnJxcXpyIIouLiJIIX8igdPYZDkkKe1NrB7fuWnyZ576WZzQCAaRZNnWPrv9ZP7TMm9GmW3+d97Md75DxtUt73ue6R8npL+bqk7I55f53yuarrh/6vnCsZDdZPff8RZX65//zQVPPLeretv5tzXt+lLO9UzvX1bb3fv2cb+oZz8X3KvDg39gEAAAAAAAAAAAAAAAAAAPiDN3MJOn0=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=227.202 Q3=227.202 sample=42 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="13932">
              <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>eJztzD1Kg0EUhtFp0ooLCBjbVKmEdF9r7QayhCzAMpVNViB8pbFKZ+sCBAPZQIogWCiKvyEWIfO6CJFzmoe53LmlwN9ye7xu9l3NH2ubh7Q3fK5tr5/Si7RcvtTOT19rRwfvtYdnn/l//5F7s3S0zLx0fnK3v8n+9Dt3T/Je3H3Vjm/S3nnm5Wibvclvr3KvXb7VDropAAAAAAAAAAAAAAAAAAAAAPx3O0EQNAw=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=239.017 Q3=119.900 sample=42 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="13932">
              <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>eJztz0srhGEYxvEnCyl2ZKMsbEnzASwmNJ/BwqGslLJAstAkWSMlOSZnklMTo4ScQnLKWoqFpEiUKCnXZeETSP1/m3/3/Tzv+86EAAAAAADA32qd2Y5+93L/V8Prgeb0Y81PZ5o/NUdrNUcrzr+7Vek5rjl0aw4fJ3ru4lRzrubwcqT2HOp8XN8Lj3uaS9Rwv6OmuHn6vaFhS83ZVKs21OC5c12Nr6k3Se9X1Hw3saq2e85M+P8uqRnLaqo77fMNnz8vqk0/84Ia8b7F+2rPabPq25z64Ba5MfduWi2eUffdwim1zOexSfV4Qj3w/t733sfVAu93PX+Oqim+V+73THo/7H2Xn3seU2/9nTrPV77f5vc2j/1+/7z36547fB4ZUbO9Tw6oR97XuPVu17B6PaSWuo1+7mFQjfv+ne9HfC/hRvv9O/vUmO9neZ/RqwIAAAAAAAAAAAAAAAAAAAAAAADAP/AF/tmX3w==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=241.217 Q3=241.217 sample=42 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="13932">
              <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>eJztzT1qQkEUgNEBi2xDk06wtgrMErIEC/s0LkBQ3IFVGgu7NGnSv5WENEZB/H2Kbcjct4iA5zQfc2e4kxL8L7nzlf86fluX5vQTfdxEh6vSRS/uU7fpZ7yrnrZx/34o/X7dR6en0kErWtV1nJ/PpR+za+x/uJS+LGM+mB9j3ySab7v4bxRt17G/6jdzAAAAAAAAAAAAAAAAAAAAALgTv1ETMGw=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=243.062 Q3=110.000 sample=42 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="13932">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="352">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0qFrAlEcwPEL2/KCZbDg/2G5NcFiuLZyA5swFFYGBosIS1sQ11xdE0EQLIZVm3AyrmxgPxwMi2z4fvfC+52HK0t+P+XL3fN8/t7peQDwn0r+/h5ar6iq9XbgNndfq+LvX8/b968OfT7vd6j7eh7/Wtq4k4YP0sJAOhhJ4zdTvxiZzsYr0+Lky3T4/mP6fHlytWv14sx083RqmkRbee58bRrGH/K933Pp51QavEoXfWm5J1123SatdL2Tztd053i8T+erp3PVpC+37rV3456DrT0/fU6Wvp/5n5TUPvq9q2v9XOZ9AgAAAAAAAAAAAAAAAAAAAAAAAAAAAABw3H4B6yFNUg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=255.233 Q3=255.233 sample=42 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="13932">
              <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="244">
              <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>eJzt0D9KAnAUwHEHB4dWQYTA0sT8Nza46Qm8gNCQ0A2SyAi6gYsODdLU4GZTR3BzcxRHaYmgoUl6vzMEDp/P8uW95cHLZOC4zAcn3b/mHvPR2+FpNNs8i/avzqOdSTX69FWO/v5cRF/uL6MP63p0tG1FP6btaO85ddNJ+9VbmnN3af68bkZvCo3o63ctuh+nFheV6Psy3d3NSt3/+QQAAAAAAAAAAAAAAAAAAAAAHLcDPFYhqw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=259.022 Q3=78.800 sample=42 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="13932">
              <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>eJzt0LFtAkEQAMAvhQJcAgEJGQkBgSUHWMjCAbLAcgFfCiVQAiW4BEpx8Lcv7cEJISJLM8lqb/d277/rAACA/+Vl9lz92fmP9rfqcV7HaeO8Ne/enNbeqt4v8v1+nvvq/Or+vJHX/TG/7JutqvnVe8Z3vQ7x/D7EybbUdzk/bkrfcoiXz3wv8m6d98d5/5b7I4++iHE/9sT7x/vLnNffO/7Xxe38qr/sW3+U86/8zt/DEE/fub7/KfN2eU78r/iv4x4AAAAAAAAAAAAAAAAA4BF/JBRDXw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=263.104 Q3=145.000 sample=42 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="13932">
              <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>eJzt0S9LA2EcwPGtWC2+gMmEGQyLxg0uiBiGLJiWrgyGOBicYeEpgvgGTLKL615aehgIi4bFhYFvQIZ28fe7Z/A8KHdLK99P+XL3/Lk/T6UCAEBJJmrtdD8ctz2t6f7T6O/rcJ+i8SJl39fE+bxEO33WZjOpte/SNPuSnl8etH+7ah5L7+NT6fVZQ3pyWJdevR1JL76rUjP/kPVms9D9l6/am4l28KJdP2k7j1r74F+nxp93N/JbG+frbrWfQ/873f20H8wPzy08T/c/E39fN+6ev13v/msuPFe3Lnyu4/YDAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOzdD9n8U1g=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=266.090 Q3=134.200 sample=42 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="13932">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="240">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0iEOwkAQBdDeqsi6agwKQUKCIkEQJEkDhmP1KEgkR0BsV+xAU6pAvGd+Ors7nW5aVcB/a5uUdcgs1uN63Df061cjfdqQU33bkfrY/nhuYt5u3XysT2Ybzn97f/F+luV6ty/75ux3Ke/bcC5mNna/cX9d9n8eh/ecU24OKR+3st5dUi6u5fPmVM6Zv+dtrrnyvPH/if3m9p/6jwAAAAAAAAAAAAAAAAAAAIBfegGtHDLm</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=269.249 Q3=269.249 sample=42 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="13932">
              <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>eJwt22VAFU0bBmC6UTiHPLt7rM/ubuexu7s7Xru7u7u7u7u7u7tA7EAQRRHke2bm5s8teFh2Z+ea2tkyed3q7D1bTYx5teRNbFwLsfNx64G1nZ3EsjPxSRvP9RAVHpwVo/b3FUerBrjlnDRQ7BsWv7tOt6Eix/eS/ZJLjxTUbEqnaXPGilzGuSkPAiaKRiN2Hmw3agqON108XF1ucpkCs0UN9YM5OM5Ckd1WvGtf5zKx6GnHu0cOrBInl38ZEjx6rchXY6NfpcwbRPjcjQ2Wj9gsnvzI6JI553ZR42uBj8+f7hL/q7ml2N/ve8TVxrEte//YJ7bvkCd8UMxwP9t2+LbDYuGMqPNdvY6JUifqLcww84To8yuq4Be/08Le9ty9nB3PiAPX1vfrduqsaFxkon1b5HnxZ3XnfZ/6XRDL/KvWz3Hzoig9MMeP/7JdFq9e+8/bMvaKGFNd/uGrItPBm3ezFb0uLqTf3bfLnBui87Q5ts2fbwqPYcX5FG+LhvlybLHfvi02vnUMKTjijkhcKg94V9R7UTV/7kd3xbq5JVxrjr+Hcrsvjj6dmtIx8b6oduHJpFu7H4g7GZ/9Gdn1oWgbmGP8h0yPRHzi4DT1XjwSY6MvLT628LGw3wjLlLnOE7HuUMcdM32fihyhndOVOfdUHE09sGXT8Gei+iePQsFFnos7lb02no59LtoWkGf0QsSb64/Oa/dSDB66IVd585Xw7ZhwcPuDV+LGpjXpp1V+LbLEjFt5Y+trkdRUBBVMEyVu3koas7hPlMga8CL16f0oMbrKqRFWsWjxZPyav62XRYsCZ8YNWfsvWkzjs49p+0bEFK8yIOuFN6LC7kXzSueNEdm/Bp7MtyRGTG7f8nkl97eix+p7XiV6vEU5vBV76y+pXb7sO7FodtqhRba9E4lerRfXCH0vnpWXFe29KHn0f1ENP74X6VUBfhCje3zK3vrEB9Fxa5sG9bJ+FNXePxxZcc5HkfNO9/z13D6JuWOyc4l+En/yv9uZOeaTaB29tkfahp/Fxbmtc/258FnkLm9+ji7yRcz78XjL9U1fRNK6BV0ORnwVbfloq6d8FZc80r6bkvRV5FEV45uYy3d14Jtv4mev8QWGNo8VUe86p9D1WPGmecXuKzJ/F4uzfnrl0/G7+Ccvf813ca4Dn9jd76LYnqUs5rtYWOlIhn3p40TY32vfrpSPEwt2vTz2ulOciHDN1rTtjDjRrvHo5912xul6eytOLP9YvcX+r3FieuZTTeL948VwdePihW3c6atrKsaL2PWLF3brEC+uXezdrvC4eLHpQ5U8qWvixTi/DEmXT8eLNnyVc1/Fi1K17sxp8S9eRPTe0jKL9UMkzJEF80Pc3tf055FmP8SOB/n5zv3Affwhzt5O2VXzxA+RvCXubs3oH2Lwu9/DSnkniD2nvqwslStBfF78+kypugmi84P3XXMOTBCrdz6bkXNZgpCl6TidIBqdf9jU8TZBzFpxdbjD76c4VqPEoV85f4oNfLoxNX/qetjrpwjZWTlq6PyfoknIFLPwkZ9i2VCW++Kn+LXoxbxJnr/Ew2Hhz5Nz/RJBXBvKNP4lvEPL8an/EuMG9q96dtsvMTR49NzQh7/E/rSr2jZ2SRSqeuVI1PWzQaJo45d80xyVKJps8OZLTxRz1mV5v+deori2puLBHymJwmN1hwmFs/0WZVaOazCo3m8xePnaTEeG/xbv7tWZfWHdb7G4pyzp36Kq7/0Bx+J+o378EXwyzfeIP8I9plW/DP/9EeUTTxX5Of8Pyv2P8BqzoPy0L3/ER1evFl3Dk4SsRUXLJYlBuTOkS+ieJCaO+tcl89IkEbnY7VTBS0mia80fM+snJIljbvKAf0XA4ft55tX6K1r2uPBv77C/YmdGbmA2/xWpjzaujH/wV9SZsainzT1ZrJHNZ75kUaj59PnUMllMCBrRoc3UZPHwQo9Cow8li6zDWnmsjkkWg/PVvn8qOEX4bDebdSiZgnqaIrKpBiNFbIvMtavX0RSRZ/bq3/nfpYg9XlzQwf/E6+XBG06U/Qf3/1Cv/+n7f+efmPt9a4KLe6pY7/Hp6ItiqeJgRPYxR3umimqNmozzW5Oqnd5LFc0cbyded3OhDdFfznWOcCH/p3cy++Z1oZvtNxVYVcmF5nwdLgq3cqGGg+rVuDbAhbQHFypmfQv6ssGFDk3aOmHUSReaN77xBu/HLqTaxe8u5MbFu8jXlY5UelmjdUZX6jOpTd6sJV1p05BL2UvUcyXVTHR1pSrHa3fpPtaVuNEf0GeZK+l+y5VqGx/2j7npSk1Vw+pKx18zaBc3GrSkf8+v4W50z13eCTfK23Od6/GKbvQxS36f7S3caF2mI8mT+rsRd4ZhXWe4UbVh4/LW2OhGrHRa5lNu9D2sSp3kx26UUJlbojg3auifmnzHz50qZqxc82Ymd9L3wZ2uFY7vlFTPnWaeutRvdld3Us3kWHdS3e5Sd9rZPSBro33udHPy3Zevr7mTrIZ93rrT29vcIfxzp/TmxUNTIzyoeef/5hsFPKhoh7D966p70K2yW0tm7+RBshfYOdqD+K9XK7TMg3R/6kF5D/9pKm570FIfY2Wrjx4ke9UBbp7U4OTQ2LGGJ6n+s6AnqeayuifJ3jGynSdVYjX3B3tS1vd76i+Z5UmrSuW6v3SjJ8la3eiEJ3Epedrue5LqNz55kvLq6kVTEn1n1Izwoi7duWXJ60Xyry2t4kX/e5m1UJG2XrRm+suFB4Z60Ygp0w6Wnu9FTScWe3hhhxc9KhRbrOIlL9qXf3mTG6+9KI/q4L3oW2EeAYR4U5ysfnm8yWjgc6dyJW+qmGKsmd7Km3ptzNvnzkBvGpW+kxk005tm8OFLbPSmlSH3+s447k3cGZY6cdebup1aWyXmgzet48v0T/Wmpwa3sKE+ZLv6oUfTnD705W2HW9PIh/wl6wY+1NV9RZHb//nQlbdi/auRPpTtcnRw7Dwf4s5id9QW/PykD6nu8Z4PqX7lvQ/J2/Q4yYcmxe3IeDCNL6l+N6MvJZfmhqeoL20OWjsroIYvNXizYdn5Nr6oX74U1/56y+qTfSljyq8Br5f70i/3/G9G7/alK37d6mQ470tR+U42PP/Ql1T79tGXel1rZtmTffF3/GhVOEPK4Eeh06vxCMCPcu9dEbupkh9lzS9roB9l8d1VLW1vP/LbO/j83/F+xI1ZtQtL/OjUx96T2uzCz8/7UWLOqRVmPvWjt23XPCwU60ey9b3r7k8fKrpUaxThT8k/uKLn8ifVDpO/vv76/nT+d6Pg5p399fUP9ad7UWnOtJrpT9zalHi+xp/UuOSgP229zgOOa/6k2o0of33/fvnTgxV8wwID6JkcDv0vgFR/XzqAMtd59PViwwDqHnMjIXPPAFKnPzGAlp48X/HZygAq/XZbYp7DATT2BA8c7wRQeCb5GwH0fdPF6kV9A+lyri6VF/0vkJ7y6ConBdK+gD7bpzUPJDVsGxhIhwweAc4LJNnbZN8dSDeuy69A+iMv52Mg9Wy6rf1Y7zQ0PrD2rvmZ05AslWIV09DZ8Cz1Pdunoegm4YfujE5DHo3ScJGnIf7purlH0xC3ChH9HqUh3d6nIXVbgtPSbvf307PlTktyVDS4eloK5NN51iUtsaYQMTEtdVs6aPnadWmpjGoY0lLQ+enuZ6PSkvqYSxA9blFlab3gIOrJrT5lDKL7MaUG5igYRGqcXj6ICsiOp0EQyeFFng5B2ln/IOovAYwP0uczP4hON09fNm5dEG04cSY8y74gmpqu/bdmZ4NIjePvBBEPPt3rvw6iKwNPrnLEBlGgZ9NS0SlBVE9W9IBg3b4awfRsVzZb8RzBtHNO0XuLigVTqwXONqcrBtPLPlNnxtQLJtX8tQ6manLg0C2YIqqP3BMzKJjUMHp8MKnh1+xgGiuHb8v592QzsTmYZDNabX8wFZcd3Olg6sSjXef1YPQLwbSLhyHGm2DdfnwNpg6yQH8H08ri/5y3XG2kmkl/G7VduXlUphAbNb93/E2IZaPMPKp0zWLT/UEeG1XNk5ohpYiN+nWRPZNN3+/KNlrSh4pNr22j+e2a7ZzT2Eaz83PBtrbRdJf523d3slGTzYVvlOxp0/VzgI22jMo0/84wm67vY2zEd2ds9CQbefDt/jrDRpPCntxMnGejZ86tYf+W2EjNc1bbqOz1YunNjTZacN+3S8btNpKTm2x7bdSDu4OCh22kpgknbVRBfp23UeyVc+V2XOHz49Fz2C2b7t/u2+hbs3JlPjzhn8vh2isble9UtuTRGP7559PFM33C9cTyz+X4JYF/LrvhJBupYUkq/1wOLzzt9FtON3zttOM/voNp7KTG1XY7Ve77J+3HcDsNkRdu2OmZ7F7S2SlQTugy2Unwb4/MaqfVgitQTjvdzcwNTl47echutaCdinD3Zytqp0Wps0f+LWHX7WcZO8nh8blydmrxJKLW9kp23T9Ws9PpDQOX9K/F3+fkCWVDO+XiZmlpCzvJ5npbezup8VpXPu6NkrXu9LETV9ZB7wbbac0e3/KJo/h8eBbjM8lOL3rykWfaaZvsPhbYSc7uyiy3U72qK0ZnWWvX9WQbH79jZHSTQ3b63oYrzDk7HWiRqdfGW7jeZzi/d3btI85OP/aNTN8p2a77Le8QmpGNR6RBIdRPFrwjhLLLDjpTCL3K0e5zrtwhJFlsKBJCNWwshEL0eKZqCMnuOah+CPX82jhkSosQkt2bV6cQUsPZXiF0JvZ6XOLgEBr05urF3mNDKPejy8s+Tgsh+W27BSG6HFeG0KgnpflUQ3R57AmhL3zbqx0LobX7i/4+ez6EJsvm72YI8SjB5cijEJKzv/xRIbRtK399CtFOEkJIzbdTQujGhPXZQ71DaTzP8mYEhZLi5Ail9JMjvcdnCiU9Xg+l6b1C9wwoEkrl2tsnfhOhut2sGkrc2+R7XS+UFnTkGWCLUKouoXYMJZ78BtbuFUqHmcelwaG6HRsbSv/LNnL6kWmhul9eEEqneZS9a2UoqWn45lDK7Ywrs2ZPKL0JjrU7joXSEs+vH+aeD6Xafz6d8L8ZSl787fhHoXpc9zqU5PBj19dQsuS0NykU1xNGIztzDbOHUd6qgxsOTR+G+xNGswO4IhcPIzXgqBRGcbfS7ahQP0zXp9Zhut3rHkZuA7hGDQmjfY14xjgxjNrLCd/cMHobn+5ur1VhcBymx0+Hw0jNby6E6XHq3TDi2cSpLy/D4DGMZLeczyWchn5p8O5eUDjJWe6gDOEY54Xr864crvv7FuEULL/6hFNlHgZHjw2n4dsm79g3P5zG1eUKvTFc99OHw0kNc8+F07P79U8OvRVODZeP+B3wLFyPw9+FUxU5cY4Pp7NyeSclnNR82zeCDoypZXwIiUD5ROjxSq4Ikqs9S4tGUHe1gBBB7+Twp1YEtfa+GVm3WQRx61b/TccIqq86hgji0cxl7xERevw3OYJOy+nk/Agqvv8y9ygRpNaPtkWQmpcfjNDj0rMRlP5uLz5kBC1dwl9PIkit17yN0L6+R5C3GnBHUN3ZFzK99I7U41d7JFVIxzOsdJF08l25u/NzRFJROaAuEkl7BvBMvGwk5Sx9enT1mpGk5i9NIsl53f6zV4dIWszDcLfekRQsC3xYJE3LyDPHSZHkyR87PDeSuLcKr74yUreLWyKpL9+2Xgci6bN3u4uuZyKp461pLvOvR5Js9jM8jtTu30QSq6lTKTaS6qZWyrYuMZLuPOYJd2okcafuaODjIPlr24McVLtjmUDPSAfdLDN8YssMDqoVcTT1QHYHydGDrYCDhsuCL+FAO+kgtXxT3UFJI7se71/fodun5g5S6x4dHDTYnyV1d5CaF/d30MOAhY+KjnBQQznRneAgnhxe/TDDQQ1kB7LQQXKUvGSlg3g2Vjh+o0P73OWgMVnOTtx0yEEu8uu0Q7cvlx2Uupdv3G0HsdZuvk8clHtG3/Kdohy0vdPu4yc/OiiXBBTvoM8n/HuO/OWgp+24xJMcul9KdVCTVq/6H3Y3iFuP7el8DFLz5wCD5Ow3PsigCcNv72saalCFpK+fT0caVHDVxLG5nAbG0Qap5ZUsBvoZg1jLmRt5DXKWXPCnUCGDtt/liRynXFUsWdigi648cuZU11vE0ONozp5yYFjUoOTWy4Ze5VTzlmIGhc0avOo25/osPPEpblB+OezmlNG0hEFq/ZFzS8ssK5qXNKgoN1MvOeUwrW0pg+r+ry8PyQx6dYwbotIGda/PLRSnbKZ6ljFoEl9NHGeIY1m+/sLQ7Qun8kaGbr845bejyxr0MC0fuZxBHZjtRE7ZCvqWN2ik/A/OgJ78rwqGbg85+az+hlY0aH+hq4FLONX4opKB+bdBLfh/M1Y26ONcHkhxqva1ikEectmUc07T2zPzVOXylH+IUzYvhapxecoJKKcc3peobpC8rBOcal2sBpenPCFOdfiaXJ78a1c5w+S3tQxa93x209uc+fundqtfm8uTq8dDzuryP+oY9KQE/4uzEw8rWtc1SC6+RnOOduWZbD2D0sgL5ORS4wMYej7GebA1l3gDQ49rOOXZD25oUCtZEJyqHjYySBana2ND9xOcahzZxNDzas6dfLqBTQ0qqU7IIHl4ezOD5K8t4lT9TnODeqsbb1AKccG2MGgal8Y6TrXe1tIgtfzUEvW2laH7Mc6a8ga0NvS4ibOLPEAbg2T1OcY5TlaLtoYe73Oq29jOILUKzXlYFnt7Q68rcKpi6mBQG1nhONVldTRoqCowg3zkaXQySK87GqR+rbNBu1/KimmQWt/uYhDXEs+vnGpe+Z9Bb0vJ/zBI1uKBXQ2Sd+sPp1pX72aQQ90Ag2R1HNvdoMLyAD0MktVnMqdqv3saevzIWVI2KL24PBcfWzibU62P9+bylMvZnL1lB9KHy1NOezl51hCfri+Xp5xIcar5ST+D1DI2p+pH+nN5ymaKU40XBnB57vvU7wDnz2o80BhokFov51TriYO4PIP5SJxydb7CYAPjDy7Px98Tqg3h8pTdDqfqz4ZyefKfuc9ZXQ5jhhkkf/yUUzbXTYcbep7OuWs+D3BGGHp+xLls+aVaHUcaup/nVMvJoww9PuK8LZfXRhvUUi6ocar+fgzXzzM3biVxqsOMNUitt40z9HiLc0c6+Q+D5OrqVM7LtfhMJhho1w2KHiH/ApcnD8cWcqZs51+YxOXJw+blk9DeTuby7McTQc4CcmFuikFyWWQzZ011YC7POzxw51TDj2lcnjxsPsA5drEcsBgki+MY5wq+zDIzuDxlA8wpf7vCTC5P/nOXONX4fxbaZ045vKkz29DjHE7v8ed+N5pjkBxWPuXMuG+11XKuoceNnKXkBc3j+jmEf4GzseqgDYrZfGXIF07VDy/g+inXSTnVOHQh1095YM5NK+MfDFtkEM8mP/zjVMW72ND97RKDVHFwqnHtUkOve3DK0wpeZujxAOcqPkz4ckPPPziPZOATXWFQZfkPzvt1eCCy0iD+K3wmBsWO6vEp+yqDhssC51Tju9UGqecBnGodbI2hxyWcsjqVWmvQdfk4ilPe/nLrDNLr0oaet683yNVdPpkwSBZvrQ0GmfIGcm7h4miw0aAi6gQMvQ6zydDjI049nzb0+henGp9vMYgrY49PnLJW9tjK/ZAla6RB6vnHNoPUOj5nVVng2w093udU1XiHodfjdnI/JKsdp1rn3WXocS2nWm/abZC6rZzydoXu4X5I3gZOdTf3GqSKjXOgKiCD1GVyytPPup/7IXlanGr+dsDQh+G8yP9d6CD3Q/JEOblW8j8MUo+JOP8yMzpskFRzjjNUFTj3Q1wKVzhlNa5x1CBZPW8dhfNjBj2Wy+7H4Pw490N8+59z6udPcH4Czk9yPyQr2Ek4PwXnp+D8NJyfhvMzcH4Gzs/C+Tk4Pwfn5+H8PJxfgPMLcH4Rzi/C+SU4vwTnl+H8MpxfgfMrcH4Vzq/C+TU4vwbn1+H8OpzfgPMbcH4Tzm/C+S04vwXnt+H8NpzfgfM7cH4Xzu/C+T04vwfn9+H8Ppw/gPMHcP4Qzh/C+SM4fwTnj+H8CZw/gfOncP4Uzp/B+TM4fw7nz+H8BZy/gPOXcP4Szl/B+Ss4fw3nr+E8Cs6j4DwazqPh/A2cv4HzGDiPgfO3cP4Wzt/B+Ts4fw/n7+H8A5x/gPOPcP4Rzj/B+Sc4/wznn+H8C5x/gfOvcP4Nzr/BeSycx8L5dzj/DudxcB4H5/FwHg/nP+D8B5wnwHkCnP+E859w/gvOf8F5IpwnwvlvOP8N53/g/A+cJ8F5Epz/hfO/cJ4M58lwngLnKXD+D87/wXkqnKfCuYupnXMq566mds6pnLuZ2rm7qZ1zKucepnbOqZx7mto5p3LuZWrnnHr9wtTOOT/s54m6j0kDanxvs5JTPZ/0NWn2MP4kp3LuZ2rnnHo91NTOOZXzAFM751TOA03tnFM5T2Nq55zKeVpTO+dUzoNMrFuY2nmwqZ1zKuc2UzvnVM7tpnbOqZyHmNo5p3IeamrnnMp5mKmdcyrn4aZ2zqmcR5iYP5vaOadepzK1c051WoapnXMq56apnXMq55apnXMq505TO+dUztOZ2jmncp7e1M45lfMMpnbOqZxnNLVzTuU8k6mdc6p13P+Z2jlna/kgJrOpnXMq51lM7ZxTOc9qauecynk2UzvnVM6zm9o5p3Kew9TOOZXznKZ2zqmc5+LybLB8xG/OQl/8Zg/LbeL5mqmdc+rntqZ2zqmc5zO1c051u/Kb2jmnmvcX4PJ81KLKUk7lvKCpnXOq0y9k6ud5nMp5YS5PuQ+Fc2Fyuyt5i5jaOeeenPzRoqZ2zqmcF+PylI9dOZXz4qZ+jsXpKv9wCZNm1qnU6xqnXN6vVdLU6/KcReTCZimT1PInZ13+WLPSXJ4v+Iuzm4RUxqTfAcfcYjgnMrfOgsuz1OKsnzjV9hXi8pQf5FTP78uaVGVpvT6/OB/KbRXlTGp/Je/CZE61jlyey1MesAKXp4TJqZ7HV+TylA+QOdU6YiUT645wXtmk5hb/5cpwXgXOq8B5VTjnlB/LWs3U67icxcpFnshd3SS1nYizvtz4VMOk1z5c0JxqH05NLs+i/EFOtS5ci8tTPkDmVOtWtU3KJ28I54ncfMF1TP0cnlM9f6prkto+xClvR5N6Jo3mYn7GGSgLpr5JsliiOLPJ7QcNTL2uyClPr1tDk27zn/3G2VIWYCNuN/ljCZyD5FdjbjflRgpOtf2riUny8bZLU2435f4VzhLyQpqZpPbtcKr1zebcbhbkCs2p10tNSuFqtZBzahJfcEtTr29zbuDbm66VSWofE6d6nt/aJFnMmznV88I2pn6uzqnWy9tyu8mXsZ9T7fNoZ5L8s8c41T6s9txu8sfOtIfzDtxuPtvb6FIHOO/I7SZzu8E5VBZ0J2435YVwcuntbdTZJFmdn3Du4mraogu3m7LCcMpq1e4/bjflBXOq7ShdTVL72jhT+bb16sbtptw/xCmLeUB3OO8O5z243ZTbtjjV86+e3G7y6Xn04nZT3mBOtU2ut6nX/Tn1erNJ8vHA/D5w3hfOOSUjqx+3m8xjNad6jtAfzjmHywo9AM4HwPlAk2R12TsQzgeZ+rkEp7xtpQbDOafaTjMEzofA+VA4Hwrnw+B8GJwPh/PhcD4CzkfA+Ug4Hwnno+B8FJyPhvPRcD4GzsfA+Vg4Hwvn4+B8PJyPh/MJcD4BzifC+UQ4nwTnk+B8MpxPhvMpcD4FzqfC+VQ4nwbn0+B8OpxPh/MZcD4DzmfC+Uw4nwXns+B8NpzPhvM5cD4HzufC+Vw4nwfn8+B8PpzPh/MFcL4AzhfC+UI4XwTni+B8MZwvgfMlcL4UzpfC+TI4Xwbny+F8OZyvgPMVcL4SzlfC+So4XwXnq+F8NZyvgXPO1yfTLC+4lstTbmjllMvSxdfB+To4Xw/n6+F8A5xvgPONcL4RzjfB+SY43wznm+F8C5xvgfOtcL4VzrfB+TY43w7n2+F8B5zvgPOdcL4LznfB+W443w3ne+B8D5zvhfO9cL4PzvfB+X443w/nB+D8AJwfhPODcH4Izg/B+WE4PwznR+D8CJwfhfOjcH4Mzo/B+XE4Pw7nJ+D8BJyfhPOTcH4Kzk/B+Wk4Pw3nZ+D8DJyfhfOzcH4Ozs/D+Xk4vwDnF+D8IpxfhPNLcH4Jzi/D+WU4vwLnV+D8KpxfhfNrcH4Nzq/D+XU4vwHnN+D8JpzfhPNbcH4Lzm/D+W04vwPnd+D8LpzfhfN7cM75+2yHrW3uc3k2u3f8Dac9vuytTg+4PKfsjvrIqbY9PuTyPDzD6zun3gcD54/g/DGcPzFJbRN/AudP4fwpnD+D82dw/hzOn8P5Czh/Aecv4ZxT7dd4xeWpHpCbpLYNv+bylBfwGs6j4DwK/Xk0+vNo9Odv4PwNnMfAeQycv4Xzt3D+Ds7fwfl7OH8P5x/g/AOcf4Tzj3D+Cc4/wflnOP8M51/g/Aucf4Xzr3D+Dc5j4TwWzr/D+Xc4j4PzODiPh3POcHnDfsD5DzhPgPMEOP8J5z/h/Bec/4LzRDhPhPPfcP4bzv/A+R84T4LzJDj/a+rnmpz6eS+X56QJze4lw3kKnHPq/c6m3gfBqd47SIVzTr1vytLOOafzd71cLYrs98gWz6n3Q1pUSG6U4DxTPFO1Ye4WqcNyPuePj/Gw6D8ZnpZ+ns8pd4H6eVkUfOko13SLVrbKfi3I26Kc8gOcR7j6h/lY+vk3p9p+5GuR2m/Oqfbl+FmktpNy+hp8BH+LFu4N6LOdM5PcaBpg0Z6ojwv2cpaRBRJo0bUg/oOcav9RGks/h+eUl1M2rUXyNC9wzuQ/XyXIIkOdmEXy47WCLb0/hFPtV7dZpHhyvpzHBWy3qJu8AE7lPMTSzjmV81BLO+dUzsMs7ZxTOQ+3SG4T/8XZXj4wjrD0/lhO5TzSIn9ZIA6LFnMxTuBUxWNYel8eJ8nLMS2SpzmHU+/bsugDH3YRp/q40yIZKzmV83SWds6pnKe3tHPOC7PkByyS28x2c6r+PKOl+3NO1Z9nsmgyV6/jnKHyQP+z9L4ZTv0eikUn+CyucKr9v1ksksV9i1O/j2CRagY51XPybJbe18ep9t1mt/S+Uc4DfNgOOSwqxx9/zymja06LWv4rn/SV8xPf7T65LFL7xzk91QVYNLcFf4BTbr8dkcciVa3zWlRCVRSLVDXMZ+n9dJzRstrkt0hWh1mcej+BRVP59i3gVM4LWqq4l3OqfYOFLDolhzuc6rILW6S2FXGq/f9FLJJ/fienOmxRi9Lyx/dzqihmUXZZQTkPcateuriln+NzSk7lS1jUWn6AU+1PKmlp55zKeSlLO+dU+4xLW6S6B07lvIyFfWOWdi4sigmRN8zSzskiWYyfCc7LwnlZOC8H5+XgvDycl4fzCnBeEc4rwnklOK8E55XhvDKcV4HzKnBeFc6rwnk1OK8G59XhvDqc14DzGnBeE85rwnktOK8F57XhvDac14HzOnBeF87rwnk9OK8H5/XhvD6cN4DzBnDeEM4bwnkjOG8E543hvDGcN4HzJnDeFM6bwXkzOG8O583hvAWct4DzlnDeEs5bwXkrOG8N563hvA2ct4HztnDeFs7bwXk7OG8P5+3hvAOcd4DzjnDeEc47wXknOO8M553hvAucd4Hz/+D8PzjvCudd4bwbnHeD8+5w3h3Oe8B5DzjvCee9LOwHtLBfCc57w3kfOO8D533hvC+c94PzfnDeH877w/kAOB8A5wPhfCCcD4LzQXA+GM4Hw/kQOB8C50PhfCicD4PzYXA+HM6Hw/kIOB8B5yPhfCScj4LzUXA+Gs5Hw/kYOB8D52PhfCycj4PzcXA+Hs4nwPkEOJ8I5xPhfBKcT4LzyXA+Gc6nwPkUOJ8K51PhfBqcT4Pz6XA+Hc5nwPkMOJ8J5zPhfBacz4Lz2XA+G87nwPkcOJ8L53PhfB6cz4Pz+XA+H84XwPkCOF8I5wvhfBGcL4LzxXC+GM6XwPlSOF8K58vgfBmcL4fz5XC+As5XwPlKOF8J56vgnFO9VrnaIrktdiPnwi4HI7Kv4fKUb4Nyqvdo1lp6vzynej9unaX3mXG++1lzUsn1cM4pf63sBjjfAOcb4XwjnG+C801wvhnON8P5FjjfAudb4XwrnG+D821wvh3Ot8P5DjjfAec74XwX+vNdcL4bznfD+R443wPne+F8L5zvg/N9cL4fzvfD+QE451T7Iw/COad6L/MQnB+C88Pcbsr34DgnlfQYVvwIt5tywyDn2q5Rq8RROD8K58e4PPPnfnSZU25Trn7cog7yxbzjcH4Czk/A+Uk4Pwnnp+D8FJyfhvPTcH6Gy1O+JnkGzs/C+Vk4Pwfn5+D8PJxfgPMLcH4Rzi/C+SU455RvMdsuwznnevka4BWL5GUtuwLnV7k8+TTWcKr3kq9xuylfKOFMkK8pX+d282jPojs508iCvcHlKd/vvAHnNy1S789xqvdlb3G7Kd+T5JTVtvxtLs+Bb65e5BwiD3DHIvk273XO+Vwt6tzl8pQvzHCq98bucXnKF5A5r3Cxt7jP5VmQBXCqfeIPuDzbFR73lvPfH76hDy39/gtnpHyN7xGXJx8+jlP+Wv/Hlt53zllL3vgnln5vgfM/eeJPuTyZlcczLs+3DIwzeATf6eeWfu+Kk5VNCHph0eHyfIGcleQBXlp6vymnel/zFZfnGq5Ir+D8NZy/hvMoOI+C82g4j4bzN3D+Bs5juN3kw5+MgfO3Fslvz3Oq98becbv5mQuWs7A88ffcbjr4PzjVvtwPFqnXkzm7cfVu9tHS+3451fuWn7jdlAfgVPtPP1t6Pz7nMb7d3b9wuylvFKd6n+mrRbLYf3J+l9v4v3G7KUF8Q38eC+ffud2UBcaptgfHWXjPgNtN/rU08ZZ+vZ7zQ3o+8g9uN2XBcsq3hBwJFs16z//BaY3if/3k8VEY3+mfcP6Lx0cV+Qb8gvNEi2Q1282p3jP5Dee/4fwPnP+B8yRLv6fIeYKLs+JfOP8L58lwzqneV0/hdlOeEKc8fJN/ln5fi1N+2yrVItbTNYqznCxYFyfdMvk3OCWrrq5O7ZxTvffg5iT1fj2nei/b3Unp5AVyymo2wsNJsvq4eDrpknw9mlO9R+HlJHkbp3D2kgXh7SRZ7LM4lXMfJ4VLEJzKua9TO+c8xafr9HNq55zKub9TO+dUzgOc2jmnch7o1M45JauiaZzaOadyntapnXMq50FO7ZxTOQ92auecyrnNqZ1zKud2p3bOqZyHOLVzTuU81KmdcyrnYU7tnFM5D3dq55zKeYRTO+dUziOd2jmncu5waueGUzvnVM5Np3bOqZxbTu2cUzl3OrVzTuU8nVM751TO0zu1c07lPINTO+dUzjM6tXNO5TyTUzvnVM7/59TOOZXzzE7tnFM5z+LUzjmV86xO7ZxTOc/m1M45lfPsTu2cUznP4dTOOfU+c6d2zqmc53Jq55zKeW6nds6pnOdxauecynlep3aez6mdcyrn+Z3aOadyXsCpnXMq5wWd2jmncl7IqZ1zKueFndo5p37fwamdcyrnRZ3aOadyXsypnXMq58Wd2jmncl7CqZ1zKuclndo5p3Jeisuz+KwVVzmV89JO7ZxTOS/j1M45lXPh1M45lXOCc4LzsnBeFs7LwXk5OC8P5+XhvAKcV4TzinBeCc4rwXllOK8M51XgvAqcV4XzqnBeDc6rwXl1OK8O5zXgvAac14TzmnBeC85rwXltOK8N53XgvA6c14XzunBeD87rwXl9OK8P5w3gvAGcN4TzhnDeCM4bwXljOG8M503gvAmcN4XzpnDeDM6bw3lzOG8B5y3gvCWct4TzVnDeCs5bw3lrOG8D523gvC2ct4XzdnDeDs7bw3l7OO8A5x3gvCOcd4TzTnDO+X8vi/D4</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>eJztz68OQWEcx+ETSVyA4B4E9VyCG7AJijuQZUGWJEGyuQFJdgWmOTbmfzfvT5IFtucpn533+25nb5bBj2ls8lcm/V1qNitSt9OPFrFPVtHOfR/ng0NqvXRKzWvX1NE42hreYi/fU+e9R/yn+94Xsa8r8b2cneN++5habV7yL7wSAAAAAAAAAAAAAAAAAAAAAP7eE6svK9o=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=277.217 Q3=277.217 sample=42 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="13932">
              <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>eJztzy1uQkEUgNGnKqpYQhWqAoUeV1OBr6rAs4S3BDRBIFF1tYR0Aa2qJSQYguI/tFSQ3ruEmpKcY77M3MxMpqrgf5mOZ+W3pb+Ijh6W0V5zHZ0/bbP3m2w71+V1F12/7fPc5Jjz259o/XyOtoZf0cbLKdp//I52PnK/fs9z9We2UQ45v8l76262ust3p4NV+duPAQAAAAAAAAAAAAAAAAAAAOA6XQCYhjGb</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=282.084 Q3=191.900 sample=42 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="13932">
              <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>eJzt0LENwjAQBdCMdg0jpKaioUSKkGgAsUBGYhRKxqCIXTgCWTYp32tOPtnnrxsGAKC0i7Z+RYx975p15qu+33gf1XmpPvdLjSm+3st7fZ3L8+1YnrM8rzV3njNf0tz7Ut+Psj+fUp5rmb/bag/r/i85bxz+/B8AAAAAAAAAAAAAAAAAAKDuA2jaHfg=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=283.264 Q3=283.264 sample=42 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="13932">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="224">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztzr1KAmAUgGGR0D1CFITwL6e6Bt0iQhoaWwSvRHDT+zDQQWgIJ+9AEMcQW5scGhqjc24i8HmWF873cTiFAvwvm+9y/68/F5fRfasanQ8r0cWsHp3eXuf8lH34aEbfStldrRM9fLaiX6fs09VNtNjLHl/zX/O9Hd0MsqO7bvRxku/rZc7H29zz/NKI3q/yHgAAAAAAAAAAAAAAAAAAAAA4N78oCiEq</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=305.249 Q3=305.249 sample=42 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="13932">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="224">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztzjFqAkEUgOG9gR7C3lLQZq+RzsrWztrS1gtIulxgC0tPIIhgI8KCKApK1oTEVpjnGRTx+5qft7O8mSx7JZ382S/gAXqLPPVjnjqrrVLzYhmdbuJ7sU4dNnap3cEpzi/HOK//pJbta2o1/ov/Rv8x92Mum79x31cVc+079h7OqZ+T+/7WPvZvy9jfi3cAAAAAAAAAAAAAAAAAAAAAwLu6AXZ/Lzw=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=307.264 Q3=307.264 sample=42 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="13932">
              <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>eJztzD0OQVEQgNG3A7VOqUCl07yWRifRqURiE28RFvQajZJEFARB4S+2IO5YhMQ5zZe5M7lZBr+lrCzzT4vGKtrdRF/r1HK6Tc2q+9S8HS37x5hbp9TR/Bzvi0vcT26x7z3ivyKa17/z4Jl66MRdNr7GfhZz2Yx9sbun1oZRAAAAAAAAAAAAAAAAAAAAAPhXb6u9KvU=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=309.280 Q3=309.280 sample=42 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="13932">
              <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>eJztz6FOQgEAheEbnIWiJmC6adICuzYjbMxosztfweYbEHwA2n0EEiOQeACqRth0JqbBqTM5z30FA2zfV/7ttFMUsFl614+99G6ZHpfPdfde0uL2Na0e3uqu1un46SNdzr/S8uonfT8q+n+9+dxNy539dDw9SL/brXQ2bNb7/WG6OD9Jq9FpejHtpJeNbjoZnPX/9TgAAAAAAAAAAAAAAAAAAAAAbJlfkSYkaQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=343.125 Q3=59.000 sample=42 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="13932">
              <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>eJzt0bENAjEMBdAbiRGoGeFaulRIFLSMwIg3CgWXSPkhuh7eayzHjmUlywIAwM95rudPvOyx9Hn2bdc+tnq9P4lDX8xL0/lxr+6bsv+onu8w9B2cD3H93t/yyXvWvtdtz0vUJ/nwf3Ge87d7v+cwr/R7ZL3tN7l/evR1AAAAAAAAAAAAAAAAAAD+3hsMyErE</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=346.056 Q3=78.800 sample=42 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="13932">
              <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="116">
              <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>eJzt0bEJwCAQQFFHygi3/1QWYiNaKMRoeK8RBOHfmRIAALDXE+WM6N9/bbWjfffWPLv2dPo/VW3fSO0+rX/W7f0AAAAAAAAAAAAAAAAA8C8ZfEMGUQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=361.202 Q3=331.300 sample=42 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="13932">
              <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>eJwt22VAFU0bBmC6UTiHPLt7rM/ubuexu7s7Xru7u7u7u7u7u7tA7EAQRRHke2bm5s8teFh2Z+ea2tkyed3q7D1bTYx5teRNbFwLsfNx64G1nZ3EsjPxSRvP9RAVHpwVo/b3FUerBrjlnDRQ7BsWv7tOt6Eix/eS/ZJLjxTUbEqnaXPGilzGuSkPAiaKRiN2Hmw3agqON108XF1ucpkCs0UN9YM5OM5Ckd1WvGtf5zKx6GnHu0cOrBInl38ZEjx6rchXY6NfpcwbRPjcjQ2Wj9gsnvzI6JI553ZR42uBj8+f7hL/q7ml2N/ve8TVxrEte//YJ7bvkCd8UMxwP9t2+LbDYuGMqPNdvY6JUifqLcww84To8yuq4Be/08Le9ty9nB3PiAPX1vfrduqsaFxkon1b5HnxZ3XnfZ/6XRDL/KvWz3Hzoig9MMeP/7JdFq9e+8/bMvaKGFNd/uGrItPBm3ezFb0uLqTf3bfLnBui87Q5ts2fbwqPYcX5FG+LhvlybLHfvi02vnUMKTjijkhcKg94V9R7UTV/7kd3xbq5JVxrjr+Hcrsvjj6dmtIx8b6oduHJpFu7H4g7GZ/9Gdn1oWgbmGP8h0yPRHzi4DT1XjwSY6MvLT628LGw3wjLlLnOE7HuUMcdM32fihyhndOVOfdUHE09sGXT8Gei+iePQsFFnos7lb02no59LtoWkGf0QsSb64/Oa/dSDB66IVd585Xw7ZhwcPuDV+LGpjXpp1V+LbLEjFt5Y+trkdRUBBVMEyVu3koas7hPlMga8CL16f0oMbrKqRFWsWjxZPyav62XRYsCZ8YNWfsvWkzjs49p+0bEFK8yIOuFN6LC7kXzSueNEdm/Bp7MtyRGTG7f8nkl97eix+p7XiV6vEU5vBV76y+pXb7sO7FodtqhRba9E4lerRfXCH0vnpWXFe29KHn0f1ENP74X6VUBfhCje3zK3vrEB9Fxa5sG9bJ+FNXePxxZcc5HkfNO9/z13D6JuWOyc4l+En/yv9uZOeaTaB29tkfahp/Fxbmtc/258FnkLm9+ji7yRcz78XjL9U1fRNK6BV0ORnwVbfloq6d8FZc80r6bkvRV5FEV45uYy3d14Jtv4mev8QWGNo8VUe86p9D1WPGmecXuKzJ/F4uzfnrl0/G7+Ccvf813ca4Dn9jd76LYnqUs5rtYWOlIhn3p40TY32vfrpSPEwt2vTz2ulOciHDN1rTtjDjRrvHo5912xul6eytOLP9YvcX+r3FieuZTTeL948VwdePihW3c6atrKsaL2PWLF3brEC+uXezdrvC4eLHpQ5U8qWvixTi/DEmXT8eLNnyVc1/Fi1K17sxp8S9eRPTe0jKL9UMkzJEF80Pc3tf055FmP8SOB/n5zv3Affwhzt5O2VXzxA+RvCXubs3oH2Lwu9/DSnkniD2nvqwslStBfF78+kypugmi84P3XXMOTBCrdz6bkXNZgpCl6TidIBqdf9jU8TZBzFpxdbjD76c4VqPEoV85f4oNfLoxNX/qetjrpwjZWTlq6PyfoknIFLPwkZ9i2VCW++Kn+LXoxbxJnr/Ew2Hhz5Nz/RJBXBvKNP4lvEPL8an/EuMG9q96dtsvMTR49NzQh7/E/rSr2jZ2SRSqeuVI1PWzQaJo45d80xyVKJps8OZLTxRz1mV5v+deori2puLBHymJwmN1hwmFs/0WZVaOazCo3m8xePnaTEeG/xbv7tWZfWHdb7G4pyzp36Kq7/0Bx+J+o378EXwyzfeIP8I9plW/DP/9EeUTTxX5Of8Pyv2P8BqzoPy0L3/ER1evFl3Dk4SsRUXLJYlBuTOkS+ieJCaO+tcl89IkEbnY7VTBS0mia80fM+snJIljbvKAf0XA4ft55tX6K1r2uPBv77C/YmdGbmA2/xWpjzaujH/wV9SZsainzT1ZrJHNZ75kUaj59PnUMllMCBrRoc3UZPHwQo9Cow8li6zDWnmsjkkWg/PVvn8qOEX4bDebdSiZgnqaIrKpBiNFbIvMtavX0RSRZ/bq3/nfpYg9XlzQwf/E6+XBG06U/Qf3/1Cv/+n7f+efmPt9a4KLe6pY7/Hp6ItiqeJgRPYxR3umimqNmozzW5Oqnd5LFc0cbyded3OhDdFfznWOcCH/p3cy++Z1oZvtNxVYVcmF5nwdLgq3cqGGg+rVuDbAhbQHFypmfQv6ssGFDk3aOmHUSReaN77xBu/HLqTaxe8u5MbFu8jXlY5UelmjdUZX6jOpTd6sJV1p05BL2UvUcyXVTHR1pSrHa3fpPtaVuNEf0GeZK+l+y5VqGx/2j7npSk1Vw+pKx18zaBc3GrSkf8+v4W50z13eCTfK23Od6/GKbvQxS36f7S3caF2mI8mT+rsRd4ZhXWe4UbVh4/LW2OhGrHRa5lNu9D2sSp3kx26UUJlbojg3auifmnzHz50qZqxc82Ymd9L3wZ2uFY7vlFTPnWaeutRvdld3Us3kWHdS3e5Sd9rZPSBro33udHPy3Zevr7mTrIZ93rrT29vcIfxzp/TmxUNTIzyoeef/5hsFPKhoh7D966p70K2yW0tm7+RBshfYOdqD+K9XK7TMg3R/6kF5D/9pKm570FIfY2Wrjx4ke9UBbp7U4OTQ2LGGJ6n+s6AnqeayuifJ3jGynSdVYjX3B3tS1vd76i+Z5UmrSuW6v3SjJ8la3eiEJ3Epedrue5LqNz55kvLq6kVTEn1n1Izwoi7duWXJ60Xyry2t4kX/e5m1UJG2XrRm+suFB4Z60Ygp0w6Wnu9FTScWe3hhhxc9KhRbrOIlL9qXf3mTG6+9KI/q4L3oW2EeAYR4U5ysfnm8yWjgc6dyJW+qmGKsmd7Km3ptzNvnzkBvGpW+kxk005tm8OFLbPSmlSH3+s447k3cGZY6cdebup1aWyXmgzet48v0T/Wmpwa3sKE+ZLv6oUfTnD705W2HW9PIh/wl6wY+1NV9RZHb//nQlbdi/auRPpTtcnRw7Dwf4s5id9QW/PykD6nu8Z4PqX7lvQ/J2/Q4yYcmxe3IeDCNL6l+N6MvJZfmhqeoL20OWjsroIYvNXizYdn5Nr6oX74U1/56y+qTfSljyq8Br5f70i/3/G9G7/alK37d6mQ470tR+U42PP/Ql1T79tGXel1rZtmTffF3/GhVOEPK4Eeh06vxCMCPcu9dEbupkh9lzS9roB9l8d1VLW1vP/LbO/j83/F+xI1ZtQtL/OjUx96T2uzCz8/7UWLOqRVmPvWjt23XPCwU60ey9b3r7k8fKrpUaxThT8k/uKLn8ifVDpO/vv76/nT+d6Pg5p399fUP9ad7UWnOtJrpT9zalHi+xp/UuOSgP229zgOOa/6k2o0of33/fvnTgxV8wwID6JkcDv0vgFR/XzqAMtd59PViwwDqHnMjIXPPAFKnPzGAlp48X/HZygAq/XZbYp7DATT2BA8c7wRQeCb5GwH0fdPF6kV9A+lyri6VF/0vkJ7y6ConBdK+gD7bpzUPJDVsGxhIhwweAc4LJNnbZN8dSDeuy69A+iMv52Mg9Wy6rf1Y7zQ0PrD2rvmZ05AslWIV09DZ8Cz1Pdunoegm4YfujE5DHo3ScJGnIf7purlH0xC3ChH9HqUh3d6nIXVbgtPSbvf307PlTktyVDS4eloK5NN51iUtsaYQMTEtdVs6aPnadWmpjGoY0lLQ+enuZ6PSkvqYSxA9blFlab3gIOrJrT5lDKL7MaUG5igYRGqcXj6ICsiOp0EQyeFFng5B2ln/IOovAYwP0uczP4hON09fNm5dEG04cSY8y74gmpqu/bdmZ4NIjePvBBEPPt3rvw6iKwNPrnLEBlGgZ9NS0SlBVE9W9IBg3b4awfRsVzZb8RzBtHNO0XuLigVTqwXONqcrBtPLPlNnxtQLJtX8tQ6manLg0C2YIqqP3BMzKJjUMHp8MKnh1+xgGiuHb8v592QzsTmYZDNabX8wFZcd3Olg6sSjXef1YPQLwbSLhyHGm2DdfnwNpg6yQH8H08ri/5y3XG2kmkl/G7VduXlUphAbNb93/E2IZaPMPKp0zWLT/UEeG1XNk5ohpYiN+nWRPZNN3+/KNlrSh4pNr22j+e2a7ZzT2Eaz83PBtrbRdJf523d3slGTzYVvlOxp0/VzgI22jMo0/84wm67vY2zEd2ds9CQbefDt/jrDRpPCntxMnGejZ86tYf+W2EjNc1bbqOz1YunNjTZacN+3S8btNpKTm2x7bdSDu4OCh22kpgknbVRBfp23UeyVc+V2XOHz49Fz2C2b7t/u2+hbs3JlPjzhn8vh2isble9UtuTRGP7559PFM33C9cTyz+X4JYF/LrvhJBupYUkq/1wOLzzt9FtON3zttOM/voNp7KTG1XY7Ve77J+3HcDsNkRdu2OmZ7F7S2SlQTugy2Unwb4/MaqfVgitQTjvdzcwNTl47echutaCdinD3Zytqp0Wps0f+LWHX7WcZO8nh8blydmrxJKLW9kp23T9Ws9PpDQOX9K/F3+fkCWVDO+XiZmlpCzvJ5npbezup8VpXPu6NkrXu9LETV9ZB7wbbac0e3/KJo/h8eBbjM8lOL3rykWfaaZvsPhbYSc7uyiy3U72qK0ZnWWvX9WQbH79jZHSTQ3b63oYrzDk7HWiRqdfGW7jeZzi/d3btI85OP/aNTN8p2a77Le8QmpGNR6RBIdRPFrwjhLLLDjpTCL3K0e5zrtwhJFlsKBJCNWwshEL0eKZqCMnuOah+CPX82jhkSosQkt2bV6cQUsPZXiF0JvZ6XOLgEBr05urF3mNDKPejy8s+Tgsh+W27BSG6HFeG0KgnpflUQ3R57AmhL3zbqx0LobX7i/4+ez6EJsvm72YI8SjB5cijEJKzv/xRIbRtK399CtFOEkJIzbdTQujGhPXZQ71DaTzP8mYEhZLi5Ail9JMjvcdnCiU9Xg+l6b1C9wwoEkrl2tsnfhOhut2sGkrc2+R7XS+UFnTkGWCLUKouoXYMJZ78BtbuFUqHmcelwaG6HRsbSv/LNnL6kWmhul9eEEqneZS9a2UoqWn45lDK7Ywrs2ZPKL0JjrU7joXSEs+vH+aeD6Xafz6d8L8ZSl787fhHoXpc9zqU5PBj19dQsuS0NykU1xNGIztzDbOHUd6qgxsOTR+G+xNGswO4IhcPIzXgqBRGcbfS7ahQP0zXp9Zhut3rHkZuA7hGDQmjfY14xjgxjNrLCd/cMHobn+5ur1VhcBymx0+Hw0jNby6E6XHq3TDi2cSpLy/D4DGMZLeczyWchn5p8O5eUDjJWe6gDOEY54Xr864crvv7FuEULL/6hFNlHgZHjw2n4dsm79g3P5zG1eUKvTFc99OHw0kNc8+F07P79U8OvRVODZeP+B3wLFyPw9+FUxU5cY4Pp7NyeSclnNR82zeCDoypZXwIiUD5ROjxSq4Ikqs9S4tGUHe1gBBB7+Twp1YEtfa+GVm3WQRx61b/TccIqq86hgji0cxl7xERevw3OYJOy+nk/Agqvv8y9ygRpNaPtkWQmpcfjNDj0rMRlP5uLz5kBC1dwl9PIkit17yN0L6+R5C3GnBHUN3ZFzK99I7U41d7JFVIxzOsdJF08l25u/NzRFJROaAuEkl7BvBMvGwk5Sx9enT1mpGk5i9NIsl53f6zV4dIWszDcLfekRQsC3xYJE3LyDPHSZHkyR87PDeSuLcKr74yUreLWyKpL9+2Xgci6bN3u4uuZyKp461pLvOvR5Js9jM8jtTu30QSq6lTKTaS6qZWyrYuMZLuPOYJd2okcafuaODjIPlr24McVLtjmUDPSAfdLDN8YssMDqoVcTT1QHYHydGDrYCDhsuCL+FAO+kgtXxT3UFJI7se71/fodun5g5S6x4dHDTYnyV1d5CaF/d30MOAhY+KjnBQQznRneAgnhxe/TDDQQ1kB7LQQXKUvGSlg3g2Vjh+o0P73OWgMVnOTtx0yEEu8uu0Q7cvlx2Uupdv3G0HsdZuvk8clHtG3/Kdohy0vdPu4yc/OiiXBBTvoM8n/HuO/OWgp+24xJMcul9KdVCTVq/6H3Y3iFuP7el8DFLz5wCD5Ow3PsigCcNv72saalCFpK+fT0caVHDVxLG5nAbG0Qap5ZUsBvoZg1jLmRt5DXKWXPCnUCGDtt/liRynXFUsWdigi648cuZU11vE0ONozp5yYFjUoOTWy4Ze5VTzlmIGhc0avOo25/osPPEpblB+OezmlNG0hEFq/ZFzS8ssK5qXNKgoN1MvOeUwrW0pg+r+ry8PyQx6dYwbotIGda/PLRSnbKZ6ljFoEl9NHGeIY1m+/sLQ7Qun8kaGbr845bejyxr0MC0fuZxBHZjtRE7ZCvqWN2ik/A/OgJ78rwqGbg85+az+hlY0aH+hq4FLONX4opKB+bdBLfh/M1Y26ONcHkhxqva1ikEectmUc07T2zPzVOXylH+IUzYvhapxecoJKKcc3peobpC8rBOcal2sBpenPCFOdfiaXJ78a1c5w+S3tQxa93x209uc+fundqtfm8uTq8dDzuryP+oY9KQE/4uzEw8rWtc1SC6+RnOOduWZbD2D0sgL5ORS4wMYej7GebA1l3gDQ49rOOXZD25oUCtZEJyqHjYySBana2ND9xOcahzZxNDzas6dfLqBTQ0qqU7IIHl4ezOD5K8t4lT9TnODeqsbb1AKccG2MGgal8Y6TrXe1tIgtfzUEvW2laH7Mc6a8ga0NvS4ibOLPEAbg2T1OcY5TlaLtoYe73Oq29jOILUKzXlYFnt7Q68rcKpi6mBQG1nhONVldTRoqCowg3zkaXQySK87GqR+rbNBu1/KimmQWt/uYhDXEs+vnGpe+Z9Bb0vJ/zBI1uKBXQ2Sd+sPp1pX72aQQ90Ag2R1HNvdoMLyAD0MktVnMqdqv3saevzIWVI2KL24PBcfWzibU62P9+bylMvZnL1lB9KHy1NOezl51hCfri+Xp5xIcar5ST+D1DI2p+pH+nN5ymaKU40XBnB57vvU7wDnz2o80BhokFov51TriYO4PIP5SJxydb7CYAPjDy7Px98Tqg3h8pTdDqfqz4ZyefKfuc9ZXQ5jhhkkf/yUUzbXTYcbep7OuWs+D3BGGHp+xLls+aVaHUcaup/nVMvJoww9PuK8LZfXRhvUUi6ocar+fgzXzzM3biVxqsOMNUitt40z9HiLc0c6+Q+D5OrqVM7LtfhMJhho1w2KHiH/ApcnD8cWcqZs51+YxOXJw+blk9DeTuby7McTQc4CcmFuikFyWWQzZ011YC7POzxw51TDj2lcnjxsPsA5drEcsBgki+MY5wq+zDIzuDxlA8wpf7vCTC5P/nOXONX4fxbaZ045vKkz29DjHE7v8ed+N5pjkBxWPuXMuG+11XKuoceNnKXkBc3j+jmEf4GzseqgDYrZfGXIF07VDy/g+inXSTnVOHQh1095YM5NK+MfDFtkEM8mP/zjVMW72ND97RKDVHFwqnHtUkOve3DK0wpeZujxAOcqPkz4ckPPPziPZOATXWFQZfkPzvt1eCCy0iD+K3wmBsWO6vEp+yqDhssC51Tju9UGqecBnGodbI2hxyWcsjqVWmvQdfk4ilPe/nLrDNLr0oaet683yNVdPpkwSBZvrQ0GmfIGcm7h4miw0aAi6gQMvQ6zydDjI049nzb0+henGp9vMYgrY49PnLJW9tjK/ZAla6RB6vnHNoPUOj5nVVng2w093udU1XiHodfjdnI/JKsdp1rn3WXocS2nWm/abZC6rZzydoXu4X5I3gZOdTf3GqSKjXOgKiCD1GVyytPPup/7IXlanGr+dsDQh+G8yP9d6CD3Q/JEOblW8j8MUo+JOP8yMzpskFRzjjNUFTj3Q1wKVzhlNa5x1CBZPW8dhfNjBj2Wy+7H4Pw490N8+59z6udPcH4Czk9yPyQr2Ek4PwXnp+D8NJyfhvMzcH4Gzs/C+Tk4Pwfn5+H8PJxfgPMLcH4Rzi/C+SU4vwTnl+H8MpxfgfMrcH4Vzq/C+TU4vwbn1+H8OpzfgPMbcH4Tzm/C+S04vwXnt+H8NpzfgfM7cH4Xzu/C+T04vwfn9+H8Ppw/gPMHcP4Qzh/C+SM4fwTnj+H8CZw/gfOncP4Uzp/B+TM4fw7nz+H8BZy/gPOXcP4Szl/B+Ss4fw3nr+E8Cs6j4DwazqPh/A2cv4HzGDiPgfO3cP4Wzt/B+Ts4fw/n7+H8A5x/gPOPcP4Rzj/B+Sc4/wznn+H8C5x/gfOvcP4Nzr/BeSycx8L5dzj/DudxcB4H5/FwHg/nP+D8B5wnwHkCnP+E859w/gvOf8F5IpwnwvlvOP8N53/g/A+cJ8F5Epz/hfO/cJ4M58lwngLnKXD+D87/wXkqnKfCuYupnXMq566mds6pnLuZ2rm7qZ1zKucepnbOqZx7mto5p3LuZWrnnHr9wtTOOT/s54m6j0kDanxvs5JTPZ/0NWn2MP4kp3LuZ2rnnHo91NTOOZXzAFM751TOA03tnFM5T2Nq55zKeVpTO+dUzoNMrFuY2nmwqZ1zKuc2UzvnVM7tpnbOqZyHmNo5p3IeamrnnMp5mKmdcyrn4aZ2zqmcR5iYP5vaOadepzK1c051WoapnXMq56apnXMq55apnXMq505TO+dUztOZ2jmncp7e1M45lfMMpnbOqZxnNLVzTuU8k6mdc6p13P+Z2jlna/kgJrOpnXMq51lM7ZxTOc9qauecynk2UzvnVM6zm9o5p3Kew9TOOZXznKZ2zqmc5+LybLB8xG/OQl/8Zg/LbeL5mqmdc+rntqZ2zqmc5zO1c051u/Kb2jmnmvcX4PJ81KLKUk7lvKCpnXOq0y9k6ud5nMp5YS5PuQ+Fc2Fyuyt5i5jaOeeenPzRoqZ2zqmcF+PylI9dOZXz4qZ+jsXpKv9wCZNm1qnU6xqnXN6vVdLU6/KcReTCZimT1PInZ13+WLPSXJ4v+Iuzm4RUxqTfAcfcYjgnMrfOgsuz1OKsnzjV9hXi8pQf5FTP78uaVGVpvT6/OB/KbRXlTGp/Je/CZE61jlyey1MesAKXp4TJqZ7HV+TylA+QOdU6YiUT645wXtmk5hb/5cpwXgXOq8B5VTjnlB/LWs3U67icxcpFnshd3SS1nYizvtz4VMOk1z5c0JxqH05NLs+i/EFOtS5ci8tTPkDmVOtWtU3KJ28I54ncfMF1TP0cnlM9f6prkto+xClvR5N6Jo3mYn7GGSgLpr5JsliiOLPJ7QcNTL2uyClPr1tDk27zn/3G2VIWYCNuN/ljCZyD5FdjbjflRgpOtf2riUny8bZLU2435f4VzhLyQpqZpPbtcKr1zebcbhbkCs2p10tNSuFqtZBzahJfcEtTr29zbuDbm66VSWofE6d6nt/aJFnMmznV88I2pn6uzqnWy9tyu8mXsZ9T7fNoZ5L8s8c41T6s9txu8sfOtIfzDtxuPtvb6FIHOO/I7SZzu8E5VBZ0J2435YVwcuntbdTZJFmdn3Du4mraogu3m7LCcMpq1e4/bjflBXOq7ShdTVL72jhT+bb16sbtptw/xCmLeUB3OO8O5z243ZTbtjjV86+e3G7y6Xn04nZT3mBOtU2ut6nX/Tn1erNJ8vHA/D5w3hfOOSUjqx+3m8xjNad6jtAfzjmHywo9AM4HwPlAk2R12TsQzgeZ+rkEp7xtpQbDOafaTjMEzofA+VA4Hwrnw+B8GJwPh/PhcD4CzkfA+Ug4Hwnno+B8FJyPhvPRcD4GzsfA+Vg4Hwvn4+B8PJyPh/MJcD4BzifC+UQ4nwTnk+B8MpxPhvMpcD4FzqfC+VQ4nwbn0+B8OpxPh/MZcD4DzmfC+Uw4nwXns+B8NpzPhvM5cD4HzufC+Vw4nwfn8+B8PpzPh/MFcL4AzhfC+UI4XwTni+B8MZwvgfMlcL4UzpfC+TI4Xwbny+F8OZyvgPMVcL4SzlfC+So4XwXnq+F8NZyvgXPO1yfTLC+4lstTbmjllMvSxdfB+To4Xw/n6+F8A5xvgPONcL4RzjfB+SY43wznm+F8C5xvgfOtcL4VzrfB+TY43w7n2+F8B5zvgPOdcL4LznfB+W443w3ne+B8D5zvhfO9cL4PzvfB+X443w/nB+D8AJwfhPODcH4Izg/B+WE4PwznR+D8CJwfhfOjcH4Mzo/B+XE4Pw7nJ+D8BJyfhPOTcH4Kzk/B+Wk4Pw3nZ+D8DJyfhfOzcH4Ozs/D+Xk4vwDnF+D8IpxfhPNLcH4Jzi/D+WU4vwLnV+D8KpxfhfNrcH4Nzq/D+XU4vwHnN+D8JpzfhPNbcH4Lzm/D+W04vwPnd+D8LpzfhfN7cM75+2yHrW3uc3k2u3f8Dac9vuytTg+4PKfsjvrIqbY9PuTyPDzD6zun3gcD54/g/DGcPzFJbRN/AudP4fwpnD+D82dw/hzOn8P5Czh/Aecv4ZxT7dd4xeWpHpCbpLYNv+bylBfwGs6j4DwK/Xk0+vNo9Odv4PwNnMfAeQycv4Xzt3D+Ds7fwfl7OH8P5x/g/AOcf4Tzj3D+Cc4/wflnOP8M51/g/Aucf4Xzr3D+Dc5j4TwWzr/D+Xc4j4PzODiPh3POcHnDfsD5DzhPgPMEOP8J5z/h/Bec/4LzRDhPhPPfcP4bzv/A+R84T4LzJDj/a+rnmpz6eS+X56QJze4lw3kKnHPq/c6m3gfBqd47SIVzTr1vytLOOafzd71cLYrs98gWz6n3Q1pUSG6U4DxTPFO1Ye4WqcNyPuePj/Gw6D8ZnpZ+ns8pd4H6eVkUfOko13SLVrbKfi3I26Kc8gOcR7j6h/lY+vk3p9p+5GuR2m/Oqfbl+FmktpNy+hp8BH+LFu4N6LOdM5PcaBpg0Z6ojwv2cpaRBRJo0bUg/oOcav9RGks/h+eUl1M2rUXyNC9wzuQ/XyXIIkOdmEXy47WCLb0/hFPtV7dZpHhyvpzHBWy3qJu8AE7lPMTSzjmV81BLO+dUzsMs7ZxTOQ+3SG4T/8XZXj4wjrD0/lhO5TzSIn9ZIA6LFnMxTuBUxWNYel8eJ8nLMS2SpzmHU+/bsugDH3YRp/q40yIZKzmV83SWds6pnKe3tHPOC7PkByyS28x2c6r+PKOl+3NO1Z9nsmgyV6/jnKHyQP+z9L4ZTv0eikUn+CyucKr9v1ksksV9i1O/j2CRagY51XPybJbe18ep9t1mt/S+Uc4DfNgOOSwqxx9/zymja06LWv4rn/SV8xPf7T65LFL7xzk91QVYNLcFf4BTbr8dkcciVa3zWlRCVRSLVDXMZ+n9dJzRstrkt0hWh1mcej+BRVP59i3gVM4LWqq4l3OqfYOFLDolhzuc6rILW6S2FXGq/f9FLJJ/fienOmxRi9Lyx/dzqihmUXZZQTkPcateuriln+NzSk7lS1jUWn6AU+1PKmlp55zKeSlLO+dU+4xLW6S6B07lvIyFfWOWdi4sigmRN8zSzskiWYyfCc7LwnlZOC8H5+XgvDycl4fzCnBeEc4rwnklOK8E55XhvDKcV4HzKnBeFc6rwnk1OK8G59XhvDqc14DzGnBeE85rwnktOK8F57XhvDac14HzOnBeF87rwnk9OK8H5/XhvD6cN4DzBnDeEM4bwnkjOG8E543hvDGcN4HzJnDeFM6bwXkzOG8O583hvAWct4DzlnDeEs5bwXkrOG8N563hvA2ct4HztnDeFs7bwXk7OG8P5+3hvAOcd4DzjnDeEc47wXknOO8M553hvAucd4Hz/+D8PzjvCudd4bwbnHeD8+5w3h3Oe8B5DzjvCee9LOwHtLBfCc57w3kfOO8D533hvC+c94PzfnDeH877w/kAOB8A5wPhfCCcD4LzQXA+GM4Hw/kQOB8C50PhfCicD4PzYXA+HM6Hw/kIOB8B5yPhfCScj4LzUXA+Gs5Hw/kYOB8D52PhfCycj4PzcXA+Hs4nwPkEOJ8I5xPhfBKcT4LzyXA+Gc6nwPkUOJ8K51PhfBqcT4Pz6XA+Hc5nwPkMOJ8J5zPhfBacz4Lz2XA+G87nwPkcOJ8L53PhfB6cz4Pz+XA+H84XwPkCOF8I5wvhfBGcL4LzxXC+GM6XwPlSOF8K58vgfBmcL4fz5XC+As5XwPlKOF8J56vgnFO9VrnaIrktdiPnwi4HI7Kv4fKUb4Nyqvdo1lp6vzynej9unaX3mXG++1lzUsn1cM4pf63sBjjfAOcb4XwjnG+C801wvhnON8P5FjjfAudb4XwrnG+D821wvh3Ot8P5DjjfAec74XwX+vNdcL4bznfD+R443wPne+F8L5zvg/N9cL4fzvfD+QE451T7Iw/COad6L/MQnB+C88Pcbsr34DgnlfQYVvwIt5tywyDn2q5Rq8RROD8K58e4PPPnfnSZU25Trn7cog7yxbzjcH4Czk/A+Uk4Pwnnp+D8FJyfhvPTcH6Gy1O+JnkGzs/C+Vk4Pwfn5+D8PJxfgPMLcH4Rzi/C+SU455RvMdsuwznnevka4BWL5GUtuwLnV7k8+TTWcKr3kq9xuylfKOFMkK8pX+d282jPojs508iCvcHlKd/vvAHnNy1S789xqvdlb3G7Kd+T5JTVtvxtLs+Bb65e5BwiD3DHIvk273XO+Vwt6tzl8pQvzHCq98bucXnKF5A5r3Cxt7jP5VmQBXCqfeIPuDzbFR73lvPfH76hDy39/gtnpHyN7xGXJx8+jlP+Wv/Hlt53zllL3vgnln5vgfM/eeJPuTyZlcczLs+3DIwzeATf6eeWfu+Kk5VNCHph0eHyfIGcleQBXlp6vymnel/zFZfnGq5Ir+D8NZy/hvMoOI+C82g4j4bzN3D+Bs5juN3kw5+MgfO3Fslvz3Oq98becbv5mQuWs7A88ffcbjr4PzjVvtwPFqnXkzm7cfVu9tHS+3451fuWn7jdlAfgVPtPP1t6Pz7nMb7d3b9wuylvFKd6n+mrRbLYf3J+l9v4v3G7KUF8Q38eC+ffud2UBcaptgfHWXjPgNtN/rU08ZZ+vZ7zQ3o+8g9uN2XBcsq3hBwJFs16z//BaY3if/3k8VEY3+mfcP6Lx0cV+Qb8gvNEi2Q1282p3jP5Dee/4fwPnP+B8yRLv6fIeYKLs+JfOP8L58lwzqneV0/hdlOeEKc8fJN/ln5fi1N+2yrVItbTNYqznCxYFyfdMvk3OCWrrq5O7ZxTvffg5iT1fj2nei/b3Unp5AVyymo2wsNJsvq4eDrpknw9mlO9R+HlJHkbp3D2kgXh7SRZ7LM4lXMfJ4VLEJzKua9TO+c8xafr9HNq55zKub9TO+dUzgOc2jmnch7o1M45JauiaZzaOadyntapnXMq50FO7ZxTOQ92auecyrnNqZ1zKud2p3bOqZyHOLVzTuU81KmdcyrnYU7tnFM5D3dq55zKeYRTO+dUziOd2jmncu5waueGUzvnVM5Np3bOqZxbTu2cUzl3OrVzTuU8nVM751TO0zu1c07lPINTO+dUzjM6tXNO5TyTUzvnVM7/59TOOZXzzE7tnFM5z+LUzjmV86xO7ZxTOc/m1M45lfPsTu2cUznP4dTOOfU+c6d2zqmc53Jq55zKeW6nds6pnOdxauecynlep3aez6mdcyrn+Z3aOadyXsCpnXMq5wWd2jmncl7IqZ1zKueFndo5p37fwamdcyrnRZ3aOadyXsypnXMq58Wd2jmncl7CqZ1zKuclndo5p3Jeisuz+KwVVzmV89JO7ZxTOS/j1M45lXPh1M45lXOCc4LzsnBeFs7LwXk5OC8P5+XhvAKcV4TzinBeCc4rwXllOK8M51XgvAqcV4XzqnBeDc6rwXl1OK8O5zXgvAac14TzmnBeC85rwXltOK8N53XgvA6c14XzunBeD87rwXl9OK8P5w3gvAGcN4TzhnDeCM4bwXljOG8M503gvAmcN4XzpnDeDM6bw3lzOG8B5y3gvCWct4TzVnDeCs5bw3lrOG8D523gvC2ct4XzdnDeDs7bw3l7OO8A5x3gvCOcd4TzTnDO+X8vi/D4</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="132">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztzjEKgDAMBdAezCEHcHVzcfAeHsWjCtIILSKOIu8toT9NSCnwFUOcJaZ4zLexvtdo+pmn61+d25d2LvOr9vl8f0/ueX1/1wcAAAAAAAAAAAAAAAAAAACAnzgAQWMSRg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=391.285 Q3=345.400 sample=42 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="13932">
              <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="320">
              <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>eJztzjFLQlEYh/GztvVNcnXqDo1+gCZ1CRoCTQolEa/gFBK0tWgOOkdQFOIgguEo5XCHBledpME58H/e4Ti1OPX8lodz3nPPPc4B+5aO/nTs6E3nNmo8GasHc+0v1ejjW10l244evzSvT9WLoXr/oh6/qp9P6s+zOuir2Z66aKuZrnrSUd9bavFBje7U/K26bvr9spo01FnFz6vhulvy39+ocS2snbO5K6ipq3BtHZ2qh5d+fR3W7rF32XtsvvvfVDOc2702dzl1ce7Pnfl9AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA/De/tGBO0Q==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=407.280 Q3=343.300 sample=42 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="13932">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="452">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0K9LA2Ecx/ELgv+DGBZEFgwLrq9oU0QwuKIMBiIICypTFk5BnSL+xBmEMRTUYNNm2JIsiTbDkIEWVxQRNAr3+d7gORbsvl/lzXN873meO88D8Cfxy1TQ8Qt1+Vz9OlVjZ+pdRR0sqwMnbgvH6sOR2ley9w/dde+e6m/afFGNW3Mr7jq/5s7V9229bnPWuu2bD8+3xrfUp233vUTB1ot2nyV3v9iq7XugFnfVYfsP/fafRm7UZFUdfVQ3noOmkq9BK5m3oLWfVtBc4zNorOdD893vaknzXutFLTfUqu07da9O3qrf12rXldrccb973v5/Im/f47vfV8u4bc6q/oLNzbjPwzl/QvXG3HVs2m04H137Weuc23DOH7L5dOd7RM+P3qPdbOT8dOf7tt+3c71k5BwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPCf/AKwrH15</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=429.374 Q3=163.000 sample=42 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="13932">
              <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>eJztzzEKgDAMBdBeyj1LZycXF6/i0R1qhVYodBN8b/lpQgJNCT4i9ihFbvPpb3cuJc+1ndf3ay+P57Xf34sj5j8BAAAAAAAAAAAAAAAAAAAAAP9xAdjuDuo=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=464.302 Q3=74.024 sample=42 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="13932">
              <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>eJzt0DEKwkAQBdAcLYXHELSwsbIJiGCRI1iIhVXOoBcQ0wg2HsGjCE42kGBQBCvfaz4zs7sMm2UA8CPlKO/U1Szv9Iey7zRv+pPefPG6377T9Nv7zfm0R5qnuioi82XkdN2t+/PbKnK7ixwfn1nWddT7yPJ6jvp+iCyqyMum+27ar7//p/801H83//YeAAAAAAAAAAAAAAAAAAAAf+8BOXYxLA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=498.290 Q3=498.290 sample=42 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="13932">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="644">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=258.252 Q3=258.252 sample=42 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="13932">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="216">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztzj2KwlAUgNEsxY0MpLJzDZPC1tJ6LGWwywasraysLV2ACDow8RdF0GBlK/NuFiHMOc1H7nvJTZbBe8gn6/yvg+4ydd7fpG4725iPqtT8d5eaLWI+/jjGc/uQ2qpO8f5PNPu+xr3yljrtPVKLWR3fq2NefN6jz3PsKy/Neewrhs2e1T7mX81/AAAAAAAAAAAAAAAAAAAAAMA/9QIZIDEV</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=411.306 Q3=347.300 sample=42 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="13932">
              <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="476">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0q1LQ1EYx/EFg4IIXkEUg4tG/4Q7DEaTRQxDGAxRmGPKFpSDDkUQGSZf8C9QxKDBNhBksLKB4QbDis2yZhgonOd5Lpwlu99P+XFe7nPPuffJZAD8SbYYS1Y0S5KLVUm3K9lck+xthuudchzU6eyFdZobWmdbc1WytBPWdYWwfvpcIdxn77H1bH4oi+H5rJ6tp+ethPez+d6Bzp/oORuSyY3kx73kyrNP132T7Cc+s3NfPh9z3z5HX8Zzfv/SpM+naNpnfWLW50xZ5pP3KZ+D5cini8Z8Xv6M+MyvD6T+fF+y/ekz7sp7M9dtya1Xvb+e8+FOx7dhLlzpfc/1fmf6XS50n867U8nWoT53rGOn+6xPapKduo71+1WPwvr2XKsRrts5bOz2w7H1U/q/tM+sj9L/VgvfM7zP+snqDPed9an1lyUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPhXfgF4eIPT</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=183.082 Q3=82.000 sample=42 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="13932">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="308">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0T1KA0EYBuAcwSN4AA8xYGmTMmUKCxtBxCLl1goheADZwt5CbKyCF7CxSJFisZQEJF5AmNkJ7LArWGj1PM3LfvP37cxoBMCfWU5Cb70K/fXf7jO0XzUOP58/7q83Z911y6uUh7cp1w8xq9VLzPD8FrM+eo85vf6IuXj6TOObr5gH613M5nib6idN2u/mNeX8MeXiLuV9e14zS1lftv2et/Mu2v5OQ6fvetqt7+cV95DHcz3f3/6/J9398n2VmeX1Q+8w+F3Mz32V/ZSG3g8AAAAAAAAAAAAAAAAAAAD+2Tf/oUpX</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=169.103 Q3=152.100 sample=42 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="13932">
              <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>eJzt0rErRWEYx/Fruym7uqXuoluku1uOGzODUzaWU7KQshlOBspECUkpJoO66k5SlDJfJRFJ/gLJquT5ve+p89a7yPj9LN+e033f03vuW6kAAPDfJpJSkwU3Z2o+6+ZUnVpOSsvzxfL6ommwPnhf8Tyc0+D3XhZ5T1gv3MfPrsU5/fMsmGPnceetbqsvF2rj2dr+/rQ+PvSN/bZ3tG5tPTWsIyuD1v6zmvUjq1q7PV+27vr9Vfvd3lnz+RvNA1fq0KU62VHXz9VOW307VWeO1aUjdfpEHd9Vhw/Ve9edPXeeA3VuS93fUJubanfV7b8WfBf//4Xf0d+j2D2Jid0DAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMBf/QAMO04P</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=121.100 Q3=121.100 sample=42 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="13932">
              <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="536">
              <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=42 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="13932">
              <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="172">
              <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>eJzt0LENwkAMBdAMkxFSUlzLCNmCbJCWlgGo2YAB0jBWCotIXHSCOyFB8V7z5cKW9bsOAAD+xDymtr1j217pTule7X/f+qvW88/TOfJwi7wskf0jcrpHDtf0srf1kM+FfvJe3vVY+nd390f9AQAAAAAAAAAAAAAAAADwsRWN2Bu0</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=150.093 Q3=131.100 sample=42 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="13932">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="248">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0TEOAUEUBuAtHEVEqUO3WicQlUSncgS1KESt5wo6icYphCOolMSMlVi7Wb3va/68mfdmJrtJAgAAP5oN04/6PE4L+979/bSwL1uvmqvqK3tXfi6/X3Vv2flZdlYxW5uQs8Yh5Kh9Cbkc3UIOBknvmfv6PdT7zTVkujjF+e4xZm8Xs7aN2Vy/7pu/chIz+475zL/va79fXC+nxevv80rqqv8OAAAAAAAAAAAAAAAAAMDfeACK5zvV</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
      </chromatogramList>
    </run>
  </mzML>
  <indexList count="1">
    <index name="chromatogram">
      <offset idRef="TIC">3914</offset>
      <offset idRef="SRM SIC Q1=72.993 Q3=72.993 sample=42 experiment=1 RT=3.45 ce=-10.00 name=Glyoxylate">25410</offset>
      <offset idRef="SRM SIC Q1=74.025 Q3=74.025 sample=42 experiment=1 RT=3.89 ce=-10.00 name=glycine">45220</offset>
      <offset idRef="SRM SIC Q1=87.009 Q3=87.009 sample=42 experiment=1 RT=2.16 ce=-10.00 name=Pyruvic_acid">61738</offset>
      <offset idRef="SRM SIC Q1=87.045 Q3=86.900 sample=42 experiment=1 RT=1.02 ce=-15.00 name=1-butyric_acid">78289</offset>
      <offset idRef="SRM SIC Q1=88.040 Q3=88.040 sample=42 experiment=1 RT=3.63 ce=-10.00 name=alanine_">94787</offset>
      <offset idRef="SRM SIC Q1=89.024 Q3=89.024 sample=42 experiment=1 RT=2.87 ce=-10.00 name=L-lactic_acid">111338</offset>
      <offset idRef="SRM SIC Q1=102.056 Q3=101.900 sample=42 experiment=1 RT=2.98 ce=-10.00 name=dimethylglycine_(DMG)">128018</offset>
      <offset idRef="SRM SIC Q1=103.040 Q3=56.910 sample=42 experiment=1 RT=2.39 ce=-30.00 name=2-hydroxyisobutyric_acid">144582</offset>
      <offset idRef="SRM SIC Q1=103.040 Q3=56.900 sample=42 experiment=1 RT=2.39 ce=-30.00 name=2-hydroxybutyric_acid">161035</offset>
      <offset idRef="SRM SIC Q1=104.035 Q3=74.000 sample=42 experiment=1 RT=4.06 ce=-30.00 name=L-serine">177464</offset>
      <offset idRef="SRM SIC Q1=112.054 Q3=68.003 sample=42 experiment=1 RT=1.73 ce=-15.00 name=creatinine">193753</offset>
      <offset idRef="SRM SIC Q1=114.056 Q3=114.056 sample=42 experiment=1 RT=3.30 ce=-10.00 name=Proline">210213</offset>
      <offset idRef="SRM SIC Q1=115.004 Q3=70.900 sample=42 experiment=1 RT=4.19 ce=-15.00 name=fumaric_acid">226866</offset>
      <offset idRef="SRM SIC Q1=116.047 Q3=73.900 sample=42 experiment=1 RT=3.70 ce=-15.00 name=guanidinoacetic_acid">243269</offset>
      <offset idRef="SRM SIC Q1=116.072 Q3=116.070 sample=42 experiment=1 RT=3.05 ce=-10.00 name=valine">259680</offset>
      <offset idRef="SRM SIC Q1=116.072 Q3=116.072 sample=42 experiment=1 RT=4.03 ce=-10.00 name=5-Amino_pentanoic_acid">276367</offset>
      <offset idRef="SRM SIC Q1=117.019 Q3=73.100 sample=42 experiment=1 RT=3.96 ce=-30.00 name=Succinic_acid">292873</offset>
      <offset idRef="SRM SIC Q1=117.056 Q3=71.000 sample=42 experiment=1 RT=1.89 ce=-15.00 name=2-hydroxyisovaleric_acid">309129</offset>
      <offset idRef="SRM SIC Q1=118.051 Q3=54.900 sample=42 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）">325690</offset>
      <offset idRef="SRM SIC Q1=118.051 Q3=74.100 sample=42 experiment=1 RT=3.79 ce=-15.00 name=threonine（离子对正确具有唯一性）">341917</offset>
      <offset idRef="SRM SIC Q1=122.025 Q3=78.000 sample=42 experiment=1 RT=2.36 ce=-30.00 name=Nicotinic_acid">358409</offset>
      <offset idRef="SRM SIC Q1=128.072 Q3=128.072 sample=42 experiment=1 RT=2.95 ce=-30.00 name=pipecolic_acid">374668</offset>
      <offset idRef="SRM SIC Q1=130.051 Q3=83.900 sample=42 experiment=1 RT=3.65 ce=-30.00 name=L-4-hydroxyproline">391094</offset>
      <offset idRef="SRM SIC Q1=130.062 Q3=88.000 sample=42 experiment=1 RT=3.55 ce=-15.00 name=creatine">407371</offset>
      <offset idRef="SRM SIC Q1=130.087 Q3=130.086 sample=42 experiment=1 RT=2.72 ce=-10.00 name=isoleucine">423856</offset>
      <offset idRef="SRM SIC Q1=130.087 Q3=130.087 sample=42 experiment=1 RT=2.61 ce=-10.00 name=leucine">440476</offset>
      <offset idRef="SRM SIC Q1=131.046 Q3=131.046 sample=42 experiment=1 RT=3.99 ce=-10.00 name=asparagine">457111</offset>
      <offset idRef="SRM SIC Q1=131.083 Q3=131.083 sample=42 experiment=1 RT=6.23 ce=-10.00 name=Ornithine">473661</offset>
      <offset idRef="SRM SIC Q1=132.030 Q3=88.200 sample=42 experiment=1 RT=4.50 ce=-30.00 name=aspartic_acid">490354</offset>
      <offset idRef="SRM SIC Q1=133.014 Q3=71.200 sample=42 experiment=1 RT=4.00 ce=-30.00 name=malate">506826</offset>
      <offset idRef="SRM SIC Q1=135.056 Q3=78.200 sample=42 experiment=1 RT=0.61 ce=-30.00 name=N-methylnicotinamide">523039</offset>
      <offset idRef="SRM SIC Q1=136.040 Q3=91.900 sample=42 experiment=1 RT=1.46 ce=-15.00 name=4-aminobenzoic_acid">539241</offset>
      <offset idRef="SRM SIC Q1=145.014 Q3=100.900 sample=42 experiment=1 RT=4.01 ce=-15.00 name=a-Ketoglutaric_acid">555799</offset>
      <offset idRef="SRM SIC Q1=145.051 Q3=81.000 sample=42 experiment=1 RT=3.96 ce=-45.00 name=adipic_acid">572271</offset>
      <offset idRef="SRM SIC Q1=145.062 Q3=57.800 sample=42 experiment=1 RT=3.80 ce=-45.00 name=glutamine">588491</offset>
      <offset idRef="SRM SIC Q1=145.098 Q3=145.098 sample=42 experiment=1 RT=5.98 ce=-10.00 name=lysine">604783</offset>
      <offset idRef="SRM SIC Q1=146.046 Q3=101.600 sample=42 experiment=1 RT=4.11 ce=-30.00 name=Glutamic_acid">621421</offset>
      <offset idRef="SRM SIC Q1=148.044 Q3=148.044 sample=42 experiment=1 RT=2.89 ce=-10.00 name=Methionine">637755</offset>
      <offset idRef="SRM SIC Q1=149.046 Q3=59.100 sample=42 experiment=1 RT=2.13 ce=-30.00 name=ribose">654337</offset>
      <offset idRef="SRM SIC Q1=149.046 Q3=58.800 sample=42 experiment=1 RT=2.70 ce=-30.00 name=arabinose">670650</offset>
      <offset idRef="SRM SIC Q1=151.026 Q3=108.000 sample=42 experiment=1 RT=1.88 ce=-30.00 name=xanthine">686950</offset>
      <offset idRef="SRM SIC Q1=154.062 Q3=93.000 sample=42 experiment=1 RT=6.30 ce=-30.00 name=Histidine">703477</offset>
      <offset idRef="SRM SIC Q1=157.037 Q3=96.900 sample=42 experiment=1 RT=2.45 ce=-30.00 name=allantoin">719991</offset>
      <offset idRef="SRM SIC Q1=157.123 Q3=157.123 sample=42 experiment=1 RT=0.63 ce=-10.00 name=C9:0_pelargonic_acid">736391</offset>
      <offset idRef="SRM SIC Q1=160.062 Q3=99.800 sample=42 experiment=1 RT=4.27 ce=-45.00 name=2-aminoadipic_acid">752795</offset>
      <offset idRef="SRM SIC Q1=163.061 Q3=100.800 sample=42 experiment=1 RT=2.58 ce=-15.00 name=&quot;1,5-anhydroglucitol&quot;">769132</offset>
      <offset idRef="SRM SIC Q1=164.072 Q3=103.100 sample=42 experiment=1 RT=2.53 ce=-30.00 name=phenylalanine">785548</offset>
      <offset idRef="SRM SIC Q1=167.021 Q3=69.100 sample=42 experiment=1 RT=3.27 ce=-45.00 name=uric_acid">802034</offset>
      <offset idRef="SRM SIC Q1=173.082 Q3=111.000 sample=42 experiment=1 RT=3.58 ce=-30.00 name=Sebacic_acid写错，正确那个是suberic_acid">818445</offset>
      <offset idRef="SRM SIC Q1=174.041 Q3=88.000 sample=42 experiment=1 RT=4.25 ce=-30.00 name=N-acetyl-L-aspartic_acid">834784</offset>
      <offset idRef="SRM SIC Q1=174.057 Q3=130.066 sample=42 experiment=1 RT=1.74 ce=-15.00 name=Indole-3-acetic_acid">851057</offset>
      <offset idRef="SRM SIC Q1=174.088 Q3=131.000 sample=42 experiment=1 RT=3.98 ce=-30.00 name=Citrulline">867585</offset>
      <offset idRef="SRM SIC Q1=178.051 Q3=77.200 sample=42 experiment=1 RT=2.09 ce=-45.00 name=hippuric_acid">883966</offset>
      <offset idRef="SRM SIC Q1=178.072 Q3=58.800 sample=42 experiment=1 RT=4.11 ce=-45.00 name=mannosamine">900350</offset>
      <offset idRef="SRM SIC Q1=179.056 Q3=59.000 sample=42 experiment=1 RT=3.40 ce=-30.00 name=galactose__">916600</offset>
      <offset idRef="SRM SIC Q1=179.056 Q3=87.000 sample=42 experiment=1 RT=3.83 ce=-30.00 name=inositol">933200</offset>
      <offset idRef="SRM SIC Q1=180.067 Q3=93.100 sample=42 experiment=1 RT=3.28 ce=-45.00 name=tyrosine_">949533</offset>
      <offset idRef="SRM SIC Q1=188.056 Q3=58.000 sample=42 experiment=1 RT=4.11 ce=-45.00 name=N-acetyl-L-glutamic_acid">965893</offset>
      <offset idRef="SRM SIC Q1=188.071 Q3=144.081 sample=42 experiment=1 RT=1.31 ce=-15.00 name=3-Indolepropionic_acid">982081</offset>
      <offset idRef="SRM SIC Q1=191.020 Q3=191.020 sample=42 experiment=1 RT=5.43 ce=-30.00 name=citric_acid">998655</offset>
      <offset idRef="SRM SIC Q1=193.035 Q3=58.900 sample=42 experiment=1 RT=4.08 ce=-45.00 name=glucuronic_acid">1015122</offset>
      <offset idRef="SRM SIC Q1=199.170 Q3=199.170 sample=42 experiment=1 RT=0.59 ce=-10.00 name=C12:0_lauric_acid">1031420</offset>
      <offset idRef="SRM SIC Q1=203.083 Q3=116.100 sample=42 experiment=1 RT=2.67 ce=-45.00 name=tryptophan">1047793</offset>
      <offset idRef="SRM SIC Q1=207.078 Q3=144.000 sample=42 experiment=1 RT=2.60 ce=-30.00 name=kynurenine">1064232</offset>
      <offset idRef="SRM SIC Q1=209.030 Q3=85.000 sample=42 experiment=1 RT=5.42 ce=-15.00 name=galactaric_acid">1080609</offset>
      <offset idRef="SRM SIC Q1=212.002 Q3=79.900 sample=42 experiment=1 RT=1.12 ce=-45.00 name=3-indoxyl_sulfate">1096901</offset>
      <offset idRef="SRM SIC Q1=218.103 Q3=88.000 sample=42 experiment=1 RT=2.85 ce=-15.00 name=pantothenic_acid">1113533</offset>
      <offset idRef="SRM SIC Q1=219.078 Q3=144.000 sample=42 experiment=1 RT=3.37 ce=-30.00 name=5-hydroxy-L-tryptophan">1129850</offset>
      <offset idRef="SRM SIC Q1=220.083 Q3=59.200 sample=42 experiment=1 RT=2.81 ce=-45.00 name=N-acetylglucosamine">1146135</offset>
      <offset idRef="SRM SIC Q1=227.202 Q3=227.202 sample=42 experiment=1 RT=0.57 ce=-10.00 name=C14:0_myristic_acid">1162481</offset>
      <offset idRef="SRM SIC Q1=239.017 Q3=119.900 sample=42 experiment=1 RT=5.34 ce=-15.00 name=L-cystine">1178832</offset>
      <offset idRef="SRM SIC Q1=241.217 Q3=241.217 sample=42 experiment=1 RT=0.56 ce=-10.00 name=C15:0_pentadecanoic_acid">1195422</offset>
      <offset idRef="SRM SIC Q1=243.062 Q3=110.000 sample=42 experiment=1 RT=1.85 ce=-30.00 name=Uridine">1211766</offset>
      <offset idRef="SRM SIC Q1=255.233 Q3=255.233 sample=42 experiment=1 RT=0.55 ce=-10.00 name=C16:0_palmitic_acid">1228220</offset>
      <offset idRef="SRM SIC Q1=259.022 Q3=78.800 sample=42 experiment=1 RT=4.46 ce=-45.00 name=D-fructose-6-phosphate">1244583</offset>
      <offset idRef="SRM SIC Q1=263.104 Q3=145.000 sample=42 experiment=1 RT=2.43 ce=-15.00 name=α-N-phenylacetyl-L-glutamine">1260988</offset>
      <offset idRef="SRM SIC Q1=266.090 Q3=134.200 sample=42 experiment=1 RT=1.65 ce=-30.00 name=adenosine">1277452</offset>
      <offset idRef="SRM SIC Q1=269.249 Q3=269.249 sample=42 experiment=1 RT=0.52 ce=-10.00 name=C17:0_heptadecanoic_acid">1293798</offset>
      <offset idRef="SRM SIC Q1=277.217 Q3=277.217 sample=42 experiment=1 RT=0.55 ce=-10.00 name=&quot;C18:3_n-3_(9Z,_12Z,_15Z)_alpha-linolenic_acid&quot;">1310126</offset>
      <offset idRef="SRM SIC Q1=282.084 Q3=191.900 sample=42 experiment=1 RT=2.80 ce=-30.00 name=8-hydroxy-2_-deoxyguanosine">1326511</offset>
      <offset idRef="SRM SIC Q1=283.264 Q3=283.264 sample=42 experiment=1 RT=0.54 ce=-10.00 name=C18:0_stearic_acid_">1342823</offset>
      <offset idRef="SRM SIC Q1=305.249 Q3=305.249 sample=42 experiment=1 RT=0.53 ce=-10.00 name=&quot;C20:3_n-6_8,11,14-eicostrienoic_acid&quot;">1359166</offset>
      <offset idRef="SRM SIC Q1=307.264 Q3=307.264 sample=42 experiment=1 RT=0.53 ce=-10.00 name=C20:2_eicosadienoic_acid">1375538</offset>
      <offset idRef="SRM SIC Q1=309.280 Q3=309.280 sample=42 experiment=1 RT=0.53 ce=-10.00 name=C20:1_eicosenoic_acid">1391862</offset>
      <offset idRef="SRM SIC Q1=343.125 Q3=59.000 sample=42 experiment=1 RT=3.80 ce=-45.00 name=maltitol">1408215</offset>
      <offset idRef="SRM SIC Q1=346.056 Q3=78.800 sample=42 experiment=1 RT=4.40 ce=-45.00 name=AMP_(adenosine_monophosphate)">1424508</offset>
      <offset idRef="SRM SIC Q1=361.202 Q3=331.300 sample=42 experiment=1 RT=0.59 ce=-15.00 name=cortisol_">1440748</offset>
      <offset idRef="SRM SIC Q1=391.285 Q3=345.400 sample=42 experiment=1 RT=0.81 ce=-45.00 name=deoxycholate">1456985</offset>
      <offset idRef="SRM SIC Q1=407.280 Q3=343.300 sample=42 experiment=1 RT=1.50 ce=-45.00 name=Cholate_">1473414</offset>
      <offset idRef="SRM SIC Q1=429.374 Q3=163.000 sample=42 experiment=1 RT=0.47 ce=-30.00 name=α-tocopherol">1489971</offset>
      <offset idRef="SRM SIC Q1=464.302 Q3=74.024 sample=42 experiment=1 RT=2.45 ce=-45.00 name=glycocholic_acid">1506199</offset>
      <offset idRef="SRM SIC Q1=498.290 Q3=498.290 sample=42 experiment=1 RT=1.60 ce=-10.00 name=Taurochenodeoxycholic_acid">1522533</offset>
      <offset idRef="SRM SIC Q1=258.252 Q3=258.252 sample=42 experiment=1 RT=0.53 ce=-10.00 name=FFA16:0-d3">1539303</offset>
      <offset idRef="SRM SIC Q1=411.306 Q3=347.300 sample=42 experiment=1 RT=1.50 ce=-45.00 name=cholic_acid-d4">1555629</offset>
      <offset idRef="SRM SIC Q1=183.082 Q3=82.000 sample=42 experiment=1 RT=2.10 ce=-30.00 name=hippuric_acid-d5">1572216</offset>
      <offset idRef="SRM SIC Q1=169.103 Q3=152.100 sample=42 experiment=1 RT=2.52 ce=-15.00 name=phenylalanine-d5">1588633</offset>
      <offset idRef="SRM SIC Q1=121.100 Q3=121.100 sample=42 experiment=1 RT=3.11 ce=-10.00 name=proline-d7">1605126</offset>
      <offset idRef="SRM SIC Q1=121.045 Q3=76.100 sample=42 experiment=1 RT=3.97 ce=-15.00 name=succinic_acid-13C4">1621772</offset>
      <offset idRef="SRM SIC Q1=150.093 Q3=131.100 sample=42 experiment=1 RT=3.80 ce=-15.00 name=glutamine-d5">1638057</offset>
    </index>
  </indexList>
  <indexListOffset>1654463</indexListOffset>
  <fileChecksum>23D8C29E388D8B9A045EDBF85CDDCCFF7905CEEC</fileChecksum>
</indexedmzML>