<?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="sample20experiment1SpectrumParams">
        <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="2259" index="0">
          <cvParam cvRef="MS" accession="MS:1000235" name="total ion current chromatogram" />
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="6600">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="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=20 experiment=1 RT=3.45 ce=-10.00 name=Glyoxylate" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt23VAFE0YBnBKWoE7enfP7u52XjsRA7sDu7u7u7u7u7s7sPOzu0FQQZDvmZn3/vgePzjudmfnN7WzkcaHfaNr1xRrD0Zvn+HVUpw8V/mJY0sHsW37w1YDInuIWleLxnVI6iPOipH7bNcHiJL7Lg04sXKI8DJWtMx5dZRIePJgdN8q40T6cmd3OB2eKHxSk2/VKDJVFGvz4d+DDTPE7pcf5+/xnS1GPio7uPGm+eLb6i4vV4olonmXhdXf318hVrUfX3ST/xphCxQXnu5fJ6qf2Xrb1XeTOHZUvraKEVaJjpU67xRl3279ne/Qbv75XrE8YP3x0yEHxIal5zLs6nNI7Mz6ZuyK60dE3ozp47s1PC7u1pl1PvOzk8J37uYxdaufFjtSpmSavfaMqNOp25mYlLMi7nZEW//G58W8svld6uy5IIrhIGb6XhIPbHHlb3a4LKYv7GEbe+qKUMVjXBPH6y3IOKP/ddHq+MDT12/eEM7ztu1yD4oR9aovH5XtTIxY8296nSo9b4mfe0dk6GDeFpU69/wx/vJtMd/R+tT6AXdENq+dNfwK3BUHfqbcHfTxrihbN7VKjrX3xPXStW/Nbn5ftMy2vNnfoAfim/+Xt+1vPhD9e3xtFDj5oUjTpMyr4RUeiQUVp3Z7//eRyJbv8a86+x+LbVOfdHLq+USUHZDrZ+ccT8X11oOH33n5VLSsecmj7NL/xLeiIXM2RD0T/eeGujVM91ykGdFxxsmLz0XNIs2mzaMXYl2vst4P1r4Qg979GVrG46W4lelJ4oguL0UudYIvxdilKxNcC74ST+XlnfdKFA1sHzvp9yvhNSV9u29NX4u2F5xfFjjxWlR1HeSTJccbsXHwxZyl5rwR0w6Ujcqb/EZ8zjO9T8UOb0VMZ9flxWLeiv0b5BveiSDr8lux7p1IaiL8C6d7L5rGzMhXfdB7US6tPNP3InONoWPz1/ogUParKx/4IDql0LUSGT6KS31nfao95aPY3EIW1Efhn+51s8rdPomBJ1aG5//vk/ivR/NHobU/i0rpwxa5nPwstt681/BL/i8iYNScoPurvohBBSLvngz4Kp6/8EGN+Coqz75Ud+7Pr2Jb+fH+w9t/E/4r2zQa9fSb6JtcdsXYqO+iVd+MnWuc/y4yqdcP8eDrhfnT2/wQZfPcXfJu+Q/hknti8KMbP8SRx1NSon//EPd9FzwobsWK2HKrd3tVjBW9VEWI1fV/Wqz4W7xC2PHtsWJi7PZMB27EioGyon6JFR07zzMK+cSJxus9QnvljBPf8DUvK8WJKx+6N9naLk5s8K6Stf+YODE2jwMfHSda1f51zPNUnCjd68ak28/iRNOEwziCOFFMXm7zp7CV7NLHUfqn+Na0QrkPTX6Kq8PCvfcM+ikU2yU/xYuBuODHforwuo+NYS9/ivq5bpQb5h4vbna4975L7njhRZe9u9aJFzjavF37x4sTDc7db7IkXvzJdyixycl4UdBzm9n0TbzYXmnv+WpeCWLhLL8hxXIn6PYhIkF8/4ZXjwTxI9Zcd2RugijcuOXzfocS+DolCMXc7ZfYffLLijJ5fonPx316jGj4S2Q9lqvsqVG/hNmo2AT71l+igXzd+yVm1u+XZWHqLzHh28jun3L+Fqfkn0X9Fomf5B/+FoU/Pn28c9Nv0f39382xt3+LDW/DBxdO+S1evC5ZrX/2PyLsVeOQg3X/iIDh7Vt7D/sjzoRkq59m7R/Rd8/7yk5X/ogsEZtL/P3xR8iz/xWSqOuPSBTPshcp1qZTonCUnp9YZF4il3uieHWui/vVz4nivGwmg5NEXlnNyydxfUwSbc7eyR29OEm3ixeSuJ4liQVVDmfcm+GvUIcZ8VeU2L3kdNyQv2Jyh6mzbZv+ClyNNoXu/RW5b3UrWM8lWQyb0MK5T/5kXS+bJ4s2UfWyr5qcLPZ4Vfx98kCycD1Z+OLz18kiShaPf4p48x0FXipF9Ot6ck219inC7f20HF+npwj5MTsPpwivu/2P9n6bIm5uR0MY8E8ce/GuYwr9E18GvL5yodc/8WjztY2rV/3T1z/mn+hRZNRBckkVo6qdHG6VSBXAgyqZqj2uShXloGTg7VTxUVZTFyeaO64RarATLclbpcaqfE7U4qDRqFgVJ8pQPrbdtRZOJL+lbX8n2hi1bPifaU6U7WTjuKnrnaiKLMYTTpTp4dXLKx44kWzte/5wotlN0DB4OVO1JfV6/8roTE5P7tY/UcqZpJbHdZ1J1YfOzjQIrXHSaGfK2t9liedSZ7qTo3j74H3OpNqDG86kmu8PzqTaPScXcv/6Yc64EBdqC+1d87mQqS6cCz24tPRjzeYu9N0evrRAPxeSrZ3XdBcqYaFFXu9C25Oadz9/woWeHdpTcNlDF1LtY6wLvWmJhsLblWTxRmd2pV8RE0u7lXalww+a49BdCVe1QYEuriQ+e7S9MNqVtCdXQmWv+XWPK6lqf9WVfvd/sSzgrSsVOj128Jp/rpTuRIHFuULdqLq8cAXdKKv76PkVa7rR8deB1uVoN2pwetO62qPc6Cs43F3iRuOHxextst+NrKbtSz+/6UaTtowf+e+DGxVteaS6r0saqtD6bUwmIw1BMRreNBRT6eGP+BppaHd/1Mw2aUg5HZSGDpTKNqjAzDS0sOub6/Hr01BY7W0ddh1LQ0kjuhzrdyeNPp9PaehfxaSvn53cCbgr7gpxp5Mfe01snd+dlq3JfDi5qjsNaXb/06LW7tSw8VjvjEPcCX+Va/Ncd9rlioq53Z2mOaEDveBOqlt84U6q/ia5U2XZrAR60IYBi/v1yOtBMenR0lT2oKRLpwL/tPCgLH3uvikzwIOKfPGeNXS6B1XYUjrnhvUehMFF0etHPcivgRyBeJDqlz540Ijdb0Jq/vOgA63qZukT6Em1mu/7ujqXJ8ne6qrwpHftb051ivKkylX7JPp19iTVnY3wpHZNd8wuPteT2qgD96T1OYM6pj/hSR8y3FseeMeTro9flzPovac+vyRPUpctrRfl2dmz1NOMXqT6/WJeZAwuPHxyTS+6WLP45PKtvShoWo1Pbv28qP21FjUvTcT7oie1a7HMi9SwZKcXlZEd0Fkvks1TjftedCXt4jRfP3jRq8I44b9epPtNb1L9WgZvmhSPhqawN61C65qlijctWYxXE29a3JtKTOvpTU8xShg9zpsqy8u92JtmrfpT8N0Obxouu4Vz3nTpVcB3+2Nvanyl0Lnd37ypilONho1dfWhQgyGjnEN8aLrrmTbDcvsQas+TxHI+tPzL4IBR9XxIdTvRPrT9XkGcug+lWTunlPN0H2opO75VPiRHE8f2+RAKA7J9aFjI0+Rtz31odce9n/om+FAHjDYdvr6Uttbo54sz+9KefD3WOpfxpUYBzTp2jvKl5J9V0RT6UsVJ5QoVGO9LspuasNyXem7I3/vWAV+yXw/OnDXGl6q/2XR58Bdfkr31I4+0hFp5qmTmtHSnz/Rji8ulpW2/ZceVVvvon1bXj9lpqfTzyOkLd6SlCwenPCx1NS3JUd+992lJNT9p0tHTKrImpKNEv48Hd1ZMR6q/bJOOUGtGVhuZjprPPJOQY1k6GjHtcFevw+lo1eRdLz/eS0dnJmxsdCUuHcnR6BY/P+oom/fcfrQ/6O/Vb9X9KHpL66h6Hf1I9YPj/Eh2F2Fr/GhBpwOhOU/7kWpfX/jRk4r3zohUPxqHajXd358+5cTALKM/jXJe+Di6kD+9311/cWRFf5LFeK2+P6nxXDt/ujL4S9S7vv50qhla3rH+dFAOx+b663q11p/i5PBjjz/d9zs3zfWMP8nqWOSWP916OG713+f+hFpe7uw3f9LjCn+SzXw93wB6jWoSbgRQdnmiOQPo7+hFqGEBtBXNTKfKAZS7LUZ89QJIju6etwwgNS7oGkBq3DgwgO4sPNTpydgAWl0BF3RWAN0IQ4Euw+f8CBuQZlMA5ZAVcW8ANVy5dfvDkwE0dkC/6meuBtCuCIz8HwTQtXV9u558FUADIh3BXb4G0OhsKOnfAXTUBS2ws43GFUKL422jSLK3OWu3ETr/8/tMm24fstqojBzA57NRh99v2qwuZqPW3sk3TGGjqZgVZKtq0+1epI1256ZvRRvZdHvf0kZD5MC+g40G9DbSvuiOz1PjIhtdqIaGeaiNqksoo20kZwETJtoo464+nWZPt1F/NIsL59roz/uZDdcstlGtH61XbFpp0+3ZehuhkZl2eKuNNjWS8GykhpMHbTRy5vsM947bSPXvZ3Eccpx12aZ93rARJitnwu/atLtHNmrUDCOpZ/g5RuMN3thIttYnPuLnX/Ifzf7dRrL3nxVv0w4SbdRw+I4DbVPxc9d8+6+62UnNR7zs1A3NfdZ0dqqTHNr3gc3O/aSdSsgLZ9hp8YvTZeqmt9NVdONFM9spZVv6SWHZ7ZR/7o3tKbnsul3JZ9f1v5CdMAkbvqOYnWQzsrCUndA5ZB9azk6Hqzyr1aqCnYwoz1tVq9gpotTBX7lr2GkkZk3+te30Ii8+qa5du2pip1q2lmhK7fRJdi8d7TTp5q7c1AOfK1/97aSG2cPsNMe26fOAsXYqgNZh4hQc3y90qLPttLQBKtQiO+l5q53kr7est+vy3GEnUzYAR+z0EqeXesFOclaZ7Y6dusgDfc7H9wmfezS7n0+Cnd6g+32baqfL+Rckt/UKpFGZ5916YgskPf4OJNktXc8aSGo+mD+QJoV5jDtbIpDU/KZCICU4oeBrBtLWePyjQSCpaXLLQCqC0VzJToH06ch/h/b0DqQYOX0ZGkgTLked3jQuUNffGYEUt6tO1yULA2nzutpkXx1IrRbVCpq2JVD3m/sC6e+Gs9aY44Ekh5dJFwJJzvr6xgSSY8zxZV8eBepxyutAmtIZJ/glkMrLgdqvQJK1/25qIP3XNV+WCK8gmtsqT+J5WxBVlxMEM4jkbPVg1iDtJH8QdcsnR85BpOa/FYLIsyxKumYQqWFLgyCSw9JZLYMod+j8u16dguilnHb1DiL8dMTfIUEU8XNG/X7jgqhwOs+JsdOD6KOze/MuC4NoFWadr1cFUUP5gy1B5Ptf6uO7e4NI9o4Rx4No8Lm/4y5cCKL8ciATE0RBsqF/FKTr5esgGrqp6Z/334Moz5RKM5YkB/H5BJOeXweT/LrtmYJ5vBJMPa82texlgimDghZMajraIJhG9wp9nqttMKl5Xo9g2uvbe9vUocHUTk6sJgVToBxAzQumc7vRca0OJjXP3hGsx6FHg+k+Lt/Ri8G6P7sbTJ4/K6UYL4NJzUNjg0mPm0MI/x3jYQ8hNd/LHEJ6/SREu68eQpHyQrUMofFyeN0rhI5kedng4+gQ0vOrEB5Hh1CeaMx0DoYQJs8bvC+EUF45XbwVQnrehfePR0X6EEJdZMHHh3A9DqEWqqMLpQdr0YGEhFLdrksGLssUSpJHvnyhVEl1qKF0AizqVw4lOYp5WyeUdqMaDmweytc3lNY9P5FuWd9Qcmz8UC3fyFBaJJdPpoRSQDFZc0NJDgdfrA4lOXrqsz2UIqMh4nAoXcrTqerCc6FUIX726JwxoaTWd56EUtGxbxMi3oeSGh7GhVJOObH9F0prHrVd5+YdRubqac8WBIVRh/Klj2TJGEYvPKPjD+QJI7WeUCJM9zcVwyii1as13SPD6GI21KSmYURyYaRDGB3ZLweEYYTR2dQDw8N0eU8Oo+yyws0Lo1V33Et1XxVGn/ui594aRu3lgOFgGD1z8ZqS/mwYt8dhdGt2838VH4dRzSYTStx/G0bnM6ADiA3T5ZYYpvt3l3BSw1bvcN3/2sKpt2wQjXCS3cLIzOHUSw6Ucofr+UeRcFqBYppeJpzk9ONtpXBafrF2dLmIcH3eDcJp6ZArjb63CNftaIdwuoJmYl2PcKqeLzVjyoBwkqtADUaGU7WXQwJ3TAyni0cOTXefFU5V5v1yb7UonC50xwRvVTipdabN4RQvh1u7w0ktexwOp59JaEjO8HFf4eO+HU6rdjyZnvtJOGWQDdvrcFLLJp/DSc7yK/4Ip4hxaSN3xoeTr4STGE7XRmICmRJOU1Oif79xNnR/6m5QyQxoeb0N+rO85D+Hn0FyujjBbtCGU9+vxYYYJKtHE9MgtS6QwZC9+p3cWQ268+yFz9ycBs1BsSflNUgNywoZRHJ5sphBclhYp7hBcvh+B/kBw+iGJQzqLyeEyDty2a+kQXI69ARpQVHbUgYNDdxR9SVSLm+0L22QWm9DZpYD2TIGyW79K1KumvUqa9DV1ZUP/EQ2lh1LOYPHxwb1xduGCYOc5IsMUuuISAPDc/fyBm26ICcChp6XVTDobEKO5jORdeQbKxqEd2GiZxBmW3NDK6F86r9evxQ5/nPdQ47KBtnUwpjB432D8u5Z/n0jUs7yclc19PVG3hv0MVvBagbJs92H/LERX1zdoOFCfrNB6jRqGNopUs8vDZIfdwGp3lYL5XkNL6ScVkZGGKTXLwzd3tU2dPuIlMPh5pGGnn8it+BdbesY3F4Y2kVdg+odcuBUDJLD7x71DFLrNkg1v6xvkBwG/UbKyzEkyqA1KOYUpCy+0Q0MksXi1tCgGrKCIVW71cjQPpF6XdegkbIAkaoeNjF4XmRQdrWAZZAaDiDVvLiZQTd/o6CRalzf3CCUnuc2pGo/Wxjk1jBd3j1IeXWLtjQovbwgSFVdWhl6fIHU8zyDonDZziHV5WhjUE954ZDJsvjaGiSLJQYZIk+3ncHjd4PU4bU3SDXbyFry46INkm97jeygXgbFy2VkJK7a1G4dDUonKwJymVwO74TyLIKBN3LitTED+nU2qJJcPkbqdV6D1LJAV4O+oFqNRw6WJ9zNIHf1gYZe/+hu6PEsUl6OwB6GnjchL6P4wnsaJItlOVKeboZeBvVWQAz6h8PL1tsg+bWbkXKZLkcflCeG9VuRbr6H7ubri/Jcm+39bqRaZ+uH8rzt6nsIqZYx+xuklpmRUZjtlB+A8sQw9xyyh+w4BqI8W6ElRE7+7TU9YpBBwTMHrYxBrsPH1h+M8pQLLki17jIE5fm10MenyEeY7rQaivKUC0BIPY5EedbEG5BqOW+4odtZpOp/Rhh0YPPGYQnIiuXxTSMNPW9CqnnvKIPkMo/zaJTnypiH45DuxcVnjzEGyWHyFKQc5qYbi/KU9yOQ8rQDxxm6H0Q2xGGGj0d54uuXI9U68gSUp7x9gVTzlYkGhR5J3b8ZuaEuSmKSQWodFCmXlQpNNqi2fAPyyc4ctpJTDMKnZzmGTHiWpriYauj5FVItf00zaPl6fBAyt1yYmm4Qrs7cG0gcxfq6M9Bu4rLcRRbsl9q1/kyUp0+PEfeRNdc+ndVkFsqzlPwXyvP24f2tZqM8O2NGh1Tz1TkoT7mMgVxaAB8w19DzPaRal5mH8vx9slgCUo2/5ht6vIZU68MLDL0esdDQ8xKkWm9chPKUA3jkjr1FrqRdjPKUh4FU6xpLDD3/QKr561KUp7yBgFS3FZahPB/iwJGh6hcGyVHWZmThlRPG5FmB8sRR7URG3Gi3sdBKlGc0ThCp10FRnvN2PjuK1OvzKE85rUbK0WblNQbJuzOXkIemyC9CeWaqGnEDKYup7jr0Qzj9u0h5Wo3Wo3+UBYb0lAe0waD5+PgXSPln7TaiH8L/vkOq+z6bDL0+hFT3DzajHyqDXyBVv73FIFytyESkWsfZapBc3UxF4mQmjNmGfkh+wHaD5G8nISPlwvoO9EOzmsTMQHaRF2qnQeryINU4dBf6IVmcSFlMjt2GHm8i1bhqj0HqcJHyMHLtRT8kPx6pxjf7DFL/i/SWF36/QaglKBJDr+8dQD+k1rnRD8nbKQcNebVwpQ09vjuEfqgjLgBSVsfIw+iH1AegH5LD9yMGz+sMUveLjqIfUhfKIHl52hzDuEF+EfI5irPjcYO61ZdnbpC6r3AC7SZOKxYZKAvspEHyMH4j88sJ/yn0Q3L9HKnm/6cNXk9BuykLFqnuA501aIT8BdK3h/yXQYoBUk1HzqMfktUWWV6doEGqmiGbo/pkuoh2U1YLpLrNdwntprxQSLU+fhntpvwipCzOIld4XIXU61oGqdNCvpTL/dfQbsrDQMqPr3od7ab8M2SwqpgGSc4xN9j5TXZ+k53HsPMYdn6Lnd9i57fZ+W12foed32Hnd9n5XXZ+j53fY+f32fkDdv6AnT9k5w/Z+SN2/oidP2bnj9n5E3b+hJ0/ZedP2fl/7Pw/dv6MnT9j58/Z+XN2/oKdv2DnL9n5S3b+ip2/Yuev2flrdv6Gnb9h52/Z+Vt2/o6dv2Pn79n5e3b+gZ1/YOcf2flHdv6JnX9i55/Z+Wd2/oWdf2XnX9n5N3b+jZ1/Z+ff2fkPdv6Dncey81h2HsfO49j5T3b+k53Hs/N4dp7AzhPY+S92/oud/2bnv9n5H3b+h50nsvNEdp7EzpPY+V92/pedJ7PzZHaews5T2Pk/dv6Pnaey81R27mRq50jl3NnUzl1M7RypnLua2jlSOXcztXOkcp7G1M6Ryrm7qZ0jlXMPUztHKueepnaO1PfBTO0cqZx7mzx/MrVzH1M7RyrnvqZ2jlTO05raOVI5T2dq50jl3M/UzpHKub+pnSOV8wBTO0cq5zZTO0cq53ZTO0fq+yymdo5UzoNMXn8xtfNgk+8vmLzOaPL9Q1M7RyrnYSbJuzHTkIuPLpjlF25q50i9Hm1q50jl3DS1c6RybpnaOVI5d5jaOVI5T29q50i9z8DUzpHKeUZTO0cq55lM7RypnGc2tXOkcp7F1M6RynlWUztHKufZTO0cqZxnN7VzpN7HYWrnSLk83DWnqZ0jlfNcpnaO1PdlTO0cqZznMbXzvKZ2jlTVIp+pnSOV8/ymdo5UzguY2jlSFVNBUztHTpnxJi59IVM7R6r10cKmvp+H1OsVpnaOVNPxoijPvZ/67kcm1GgyoUQxUztHKufFTe0cqddrTO0cqZyXNLVzZCuPG2F1S5n6PidySLGt5RqVNrVzpHJextTOkTvnRU9qVxblKfdpIJXzcqZ2jlTOhamdI5VzYufEzsuz8wrsvAI7r8jOK7LzSuy8EjuvzM4rs/Mq7BwpD8eqatKRrl6Jq5Dq/mQ1k+SPNyLVfcbqKM/LZytsR6r7rDVMwrs77kWq+yk1TX3fAKn2T9RCecobAMhr3/CHESbJZajzyPfWxg/VaqM85Y0npLNcmIk0aSYu522kKb+gjkmb7TGVHiJlsTari/KssL3zM6RaV6ln0rPeqAHIbvJA6qM8cTifkPJrukeZeh0Uqe7rNTBJLj/9Qh4D1yENTb0ehcS7i4xqhPKUC46NUZ7xqBhIvc7Pzpuw86Yoz/pp1s5BymoU1AzlOebVxUVIdd+ouUnytscK5Mdq+IIWaDdfLAtYj1T3b1ui3URxbUWq9chWaDdxeruRJeWBtDb1+hdSfk2pNibJPz+OVPse2qLdvIoCRU5qhwNuh3ZT/gApb3NGtDcJtd8eg1TrotGmXv9DytusTTqg3ZR/iPyZ/nbPVh3Rbh6kMa+Q6SJRQzuh3cRl/9CJnXc29f1BZEUUf+8upr4/j1Trs11NvQ6JVLenu5n6fmt3tJs4nHHIDPgajx4myT+fgiwtL3hPky4tQoEiJVd7L7SbF/EDZC8Jq7ep75P0Zud90G7Kgu/Dzvuyc6Tad9PP1Ot7/dh5f3ben50PMElepqNIfwl1INpNuU8PKYur0iC0m/IdSHU/ejDaTRz2jcHsfAg7H8LOh5okf/wYqe6TD0O7KQ94GDsfzs6RV8Cm8whT3w9DvkU17zkS7aY8MaSslv1HmSSrWyJS3c8djXYT1SMVKS/7mDFoN+X+oLFoN+UXINXy+Di0mxICUu3TGG+SLIZ5SJssqAloN+U2jAnsfCI7n8jOJ7HzSex8MjufzM6nsPMp7HwqO5/Kzqex82nsfDo7n87OZ7DzGex8Jjufyc5nsfNZ7Hw2O5/Nzuew8znsfC47n8vO57Hzeex8Pjufz84XsPMF7HwhO1/Ezhex88XsfDE7X8LOl7Dzpex8KTtfxs6XsfPl7Hw5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw87XsPO17HwtO1/Hztex8/XsfD0738DON7Dzjex8IzvfxM43sfPN7HwzO9/Czrew863sfCs738bOt7Pz7ex8Bzvfwc53svOd7HwXO9/Fznez893sfA8738PO97Lzvex8Hzvfx873s/P97PwAOz/Azg+y84Ps/BA7P8TOD7Pzw+z8CDs/ws6PsvOj7PwYOz/Gzo+z8+Ps/AQ7P8HOT7Lzk+z8FDs/xc5Ps/PT7PwMOz/Lzs+y83Ps/Bw7P8/Oz7PzC+z8Aju/yM4vsvNL7PwSO7/Mzi+z8yvs/Ao7v8rOr7Lza+z8Gju/zs6vs/Mb7PwGO7/Jzm+y8xh2HsPOb7HzW+z8Nju/zc7vsPM77PwuO7/Lzu+x83vs/D47v8/OH7Dzh+z8ITt/xM4fsfPH7PwxO3/Czp+w86fs/Ck7/4+d/8fOn7Fz5He5DfQ5O3/Ozl+w8xfs/CU7f8nOX7HzV+z8NTt/zc7fsPM37PwtO3/Lzt+hPOWN+nfs/D07f8/OP5gkt12+QSY2DGjW8SM7/8jOP7HzT+z8s0lHa5U6+OszO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/wc5j2XksO49j53Hs/Cc7/8nO49l5PDtPYOcJ7PwXO//Fzn+b1F1uREKq/T9/TL2/4Q87T2TnyAIv6h2tlcTOk9j5X3b+l50ns/Nkdp5iktoGnsLO/7Hzf+w81aQK7ewTviFjknAATha1mPNjSzxS7Y9ytvR+UKTaN+9ikfq1q6WdI5VzN0s7RyrnaSxq8O5OnVlI5dzd0s6RyrmHRXI7wTKkcu5p0fq+uOLIQj6Pb2X1skhe/k1ItV/E2yL5051Ivb/b0vs+kGPktilfi/xkASHVfd20Fql990j89ZRK6SyqjK+7iLydVe6QtEhty0d+icKB+ls0RP4DKUu/YYCl98UiM+1dZbWwWfq+OVI+PdDObul9YUi1HyHQIrVtDtlHbhMMsij1wYYVcUj8z+7+wRaFyw9GblwRd29oiEVFJACk2m4baun792Eoz2S5EcgidZrhKE8c/gykOizDIvl185Ar5ceYlt6XgTycEQdqoTz1P0g9r+Gw9H4YpHKe3tL7BpFqn2gGi/Q+aouyyA3aGS29fxWp9tdksvQ+MaR6bCKzRfKynkeqfdFZLL3vCSmLt3ZWi0x1AS3ajOKIymZp58hzOPxm2S2qKx8jQar94Dks7RypnOe09D5kpF3+I5dFqy3USCS+ZV3f3JZ2jlT7FPNYdH8oTggpq/HIvBbFyuqZz6IRsmIjVXXKb+n9m0j93IhF8rLOQarLVdCiG7gMi5CqeAtZJIttBXKALI7CFsnTXIdUh1/EIoeEglT7jopa6mN2Iy/IXxezqL48UKRkW6q4pZ0j9T4/i/cxWRQkC7ykRWtR3S8jlfNSFqnHYpA1ZcUubdFDVKd7SHUfv4xFP3H5nyJHyQ8ua2nnyKXLJACLcsgKhpTF1lVY2jlSOSd2Tuy8PDsvz84rsPOKlt6XgNyOWulRyaJSCpRFlySzyuwcqVhUsaiXOiFL72erys6RqtpVY+fV2Hl1dl6dnddg5zXYeU12XpOd12Lntdh5BDuPYOe12Xltdh7JziPZeR12Xoed12Xnddl5PXZej53XZ+f12XkUO49i5w3YeQN23pCdN2Tnjdh5I3bemJ03YedN2HlTdt6UnTdj583YeXN23pydt2DnLdh5S3bekp23Yuet2Hlrdt6anbdh523YeVt23padt2Pn7dh5e3benp1Hs/Nodt6BnXdg5x3ZeUd23omdd2Lnndl5Z3behZ13Yedd2XlXdt6NnXdj593ZeQ923oOd92TnPdl5L3bei533Zue92Xkfdt6Hnfdl533ZeT923o+d92fn/dn5AHY+gJ0PZOcD2fkgdj6InQ9m54PZ+RB2PoSdD2XnQ9n5MHY+jJ0PZ+fD2fkIdj6CnY9k5yPZ+Sh2Poqdj2bno9n5GHY+lp2PZefj2Pk4dj6enY9n5xPY+QR2PpGdT2Tnk9j5JHY+mZ1PZudT2PkUdj6VnU9l59PY+TR2Pp2dT2fnM9j5DHY+k53PZOez2Pksdj6bnc9m53PY+Rx2Ppedz2Xn89j5PHY+n53PZ+cL2PkCdr6QnS9k54vY+WJ2vpidL2HnS9j5Una+lJ0vY+fL2Plydr6cna9g5yvY+Up2vpKdr2Lnq9j5ana+mp2vYedr2Pladr6Wna9j5+vY+Xp2vp6db2DnG9j5Rna+kZ1vYueb2Plmdr6ZnW9h51vY+VZ2vpWdb2Pn29j5dna+g53vYOc72flOdr6Lne9i57vZ+W52voed72Hne9n5Xna+z1LbGDfsY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnSPrVul5telxdn6cnZ9g5yfY+Ul2fpKdn2Lnp9j5aXZ+mp2fYedn2flZdn6OnZ9j5+fZOXJvw4tufhcsvb8TqZ7PuYjytOxlFiHVc2CX2Pkldn6ZnV9m51fY+RV2fpWdX2Xn19j5NXZ+nZ1fZ+c3LP38BFLt/76J8lyQ3PbyTXYew85j2Pktdn6Lnd9m58i08sGGOxbJx99e3mHnd9k5Uj2HcA/luSs3fUO2kA/K3Ud5PveMjkcOlK8HKE+/d5OTkHM2RC0b/tAi9Zz2I4ufH0B5dl91x/2xRSi9d5ORDZYN/+P7xNLPGyHV/uinaDfbXs6/ADklqXiFsP/QbsoPRKrnop5Z+rk1pNyOnPW5pZ93QD6eeHNX7hcoT/nFyPgD2+4VfInyrG182IeUh1f8lUXya48ic8kCfI3yxNtOIyvJ1xu0m0/2NLyIVM/lvrX0Pnuk2k/6DuUpTwQ57xbe+N7SzwMhdzodftD8A9rNRdk/PUeqffsfUZ7yhJHq+b1PFqGUC39BpsrHuD+j3cyKM0Gqxz2+WPq5RaR67uyrpZ/3QkbKB8S/od3E4bl9R7uJr52IlB/n/cPSz+8gA+Qr1iK523ceMo+sqHGWfk4QKRlZP9Fuym3HyDbyjfHsHDlMVugEtJvRKEGkrFb5f1kkHz/Yg1TPrfxGuykfw0eqbe1/0G7icpxEymKukGjp/b1IZ/nFSWg3cbpXkeo5979oN3F4t5DqeYZki+THPUhm5yloN//DC9m1P67wP4tw1VzeICeAW8dUtJuyoJFq/7STg/LJNyL1czoO/Twn8r58bMzFQe3kBUGqfdCuDhohP9DNQT64vOOR8rJ5pnHofe5I5dzdoZ0jlXMPh3aOVM49HSQPbwXSVV5gLwfJj1uHlG/L7u2grVvwQpaQkHwchKt2cxeyvqwIvg69nxwpeZRK6yD1/DZSPX+SzqGdI5VzP4d2jpTVpZa/g2Q1uIl8KB8DDXCQvGz3kPJyNLY5+LkRh3Zud2jnyBwScKCD9svHVpHKeZBDO0cq58EO7RypnIc4tHOkch7q0M7DHNo5UjkPd2jnSOXccGjnSOXcdGjnSOXccmjnSOXc4dDOkcp5eod2jlTOMzi0c6RyntGhnSOV80wO7RypnGd2aOdI5TyLQztHKudZHfw8jUM7z+bQzpHKeXaHdo5UznM4tHOkcp7ToZ0jlfNcDu0cqZzndmjnSOU8j0M7RyrneR3aOVI5z+fQzvM7tHOkcl7AoZ0jlfOCDu0cqZwXcmjnSOW8sEM7RyrnRRzaOVI5L+rQzpHKeTGHdo5Uzos7tHOkcl7CoZ0jlfOSDu0cqZyXcmjnSOW8tEM7RyrnZRzaOVI5L+vQzpHKeTmHdo5UzoVDO0cq58TOiZ2XZ+fl2XkFdl6BnVdk55XYeSV2XpmdV2bnVdh5FXZelZ1XZefV2Hk1dl6dnVdn5zXYeQ12XpOd12Tntdh5LXYewc4j2Hltdl6bnUey80h2Xoed12Hnddl5XXZej53XY+f12Xl9dh7FzqPYeQN23oCdN2TnDdl5I3beiJ03ZudN2HkTdt6UnTdl583YeTN23pydN2fnLdh5C3bekp23ZOet2Hkrdt6anbdm523YeRt23padt2Xn7dh5O3benp23Z+fR7DyanXdw0P+krfpA</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="3916">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="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=20 experiment=1 RT=3.89 ce=-10.00 name=glycine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0btKA0EYhuElrWghkVRCCr0AYdV2BStrL8DCOxDsxBVURFE2up4KIQhegIdSYtDgARvRFAoWkYgg2GmRQkGYb39hcgfC+zQvuzuzM8wEAQAAANCmthW5hrtqtKpWF9WTdfW1pDbW/E7uqOm2P87mzW+o46maL/nrNOay9abV4oJaXlHjqWz8jP99YsnfZ5SoY/tq96FrHN7oufLietf/5Vo8bel5+NO13Nt0rXY9afzBrTp4of+8Xet74V7vc8+u0Uc2PvegDqnRrP4XHX+r9c4Rt26Yd31sdbgGTe0n/qlr/sC5+n6mJpdqeqX2VNTCkTq6p/Ztqnbedj52Lla7Fzvf9nu1ecGyaudr46x/95j4+7D3AAAAAAAAAAAAAAAAAAAAAAAAAAAA+Dd+AaLkbJo=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=87.009 Q3=87.009 sample=20 experiment=1 RT=2.16 ce=-10.00 name=Pyruvic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="456">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0rEvQ0EAx/FKo4wGU2MQEyaJoSbRxMAfIekkJhNh6NDYdKqFJiSirZYonoREJIQIAyJNJF0YDB2kU2NgEcT97oZr0s34/Szf3OXu3nvXhkIAgH+TKI+Z1rbV9IFa3VPfd9WIHb/sqGf7anegxgJ/nLHrv926Q3+/O69e9tcl7f5p+9xs0/r+ov++jwV1KO933M4Xc/45bn/Cztfse/Udm6YGbjWeeTZNfNRNuyY/TSsLbfG/jgTt6nCn6WK0wzS7EDZtXPyY9cGg9vV+NXRe/E29fjW9XK6qQUXPj93p+cf3Gk9onCo+aP7Jjqf0nqnwjebnz9W1UzV5orrf48p25Uh191tuUXffaXuPs/beRkuqu/dC0/9nLu83mlOrW/a7VlV3/0sl//yIXZdZV3s27PmbKgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAALfwCtyuCRA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=87.045 Q3=86.900 sample=20 experiment=1 RT=1.02 ce=-15.00 name=1-butyric_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="400">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0r8uBFEYhvEt1z2IbOMShEKxNyCZ0gUoXIJC5BAhIoKxswbxZ4nCZqwVQjZRrBBUgorERUxELZJ5v1OcbbSK59c8mZMzM9/s2VIJ+Cfyw6p6oKZ76ve22myoble9T9VsQ4321Xfb1zpVH1pq3Lbn3RR1P4+6fn4tWh18K9odf9F650n9uLVehM/18/h5455GO+qnzZvH6nRic67bd9TUfrvO63bfltpeVmt2f2VFdUvhut9fSXrek4TrE2s236q9by7s5LyaLqhdp07N2n2L4RzRpprZ947auWXH6syJOnauli9t/Vqtd9ThK/XO+mXts31l+/2H7BzdmTrStO89Ugca4Tz+PPz/BQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAH/6BXPCcP8=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=88.040 Q3=88.040 sample=20 experiment=1 RT=3.63 ce=-10.00 name=alanine_" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0qtLQ1EAx/FhEMMQ7YbJyoJhapBpmc0/wCSIC6IGk8nmVURFNhDBF8zHHNMxRbHowhBfYWIQjUMQXBIMC4aJRTi/c8OVm5a/n/LlvHbudhcIAAAAoGHFhbhvo3Pe8UFKra+obRt2fV0dWvTf784n1v6dT6rOqv/+qWXvPve8e6/b6L46k1PTm+pbWh3f8s6Xduxz2HORjFrLeMddeXXiWE3a+eFDtdXe15FV947UDzt2st7n67frzWdq05U6VjR1fp9MQ91VtfxjWh9oGTRfv7PdNBQLmY5e9JiWX/tMc4VeU+ckbJr/Cpq2nX+bz7kJfprGU++6N1zR/OSL7o8/qokHrS/daVy9V7dtR261vnutxmyfbQsldfpSrZz6/x7ue3ffd21Wjczbffb/BwAAAAAAAAAAAAAAAAAAAAAAAAAAADToD+BBdyE=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=89.024 Q3=89.024 sample=20 experiment=1 RT=2.87 ce=-10.00 name=L-lactic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="568">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=102.056 Q3=101.900 sample=20 experiment=1 RT=2.98 ce=-10.00 name=dimethylglycine_(DMG)" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0k0rRGEYh/FJFmOvzMJiFhazmMVkacV3kA+glIXFJGoSzaRhDuU9TRKmIcpqFDUlOhayorHRNKUslL1kp+T8n0fdspe6fpur+zkvnfOcE4sBAIA/ldjpjzq2qwYVNbOm9pTVxJKa3rBz083FdbuemlPDFbVRUnPzanbKnu+vTy7Y+2aqau+J+liz89CpOn1o69+nUbbPPbpsn8PPYd4+TzBrj6c27XskZ2z99YVxtz5iZ9/M5O+z369g1a27/S9W1bsj9eNMvTlXry7VrQs17vZl4lhtuuu7t93s9sHvi/8+/r1/1n8Xvx/f3zVv17OL9v7+v+rcU9MH7nz3fz3su3X3/W7rUQuD12r8PmrY/qzjrbeouVLbwFefXjuiZhvxqPWK1mvD7zq/70X36WppBgAAAAAAAAAAAAAAAAAAAAAAAAAAAPCvfAKfUXnx</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=103.040 Q3=56.910 sample=20 experiment=1 RT=2.39 ce=-30.00 name=2-hydroxyisobutyric_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0bFKw0AAh/G8RPc+gIOPcEPwCTI4iYNDswgFEQSRxAcQBKEdSqlDEexSOnSUDOIWcCgdi2hfQxDufzm41BC6dPp+y8dxl9zlEkUAADSJTdi6xITd971t+7lO+upppo4e1ZMXNVnaZr0PW3O7Un83tpOjH80/b23P82/boqN5877We8pSfX1TZ3N1MVU/x2o8UIsn9fghPNcwV7s36te9G1+69XdufOWahuPqe83Z/+NqXXXv3Yuw/v6S8Dn/nxruuWp9vT/HdXgev28atu3/7pynNt/4PAAAAAAAAAAAAAAAAAAAAAAAAAAAAADgUP4Ao9RHHw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=103.040 Q3=56.900 sample=20 experiment=1 RT=2.39 ce=-30.00 name=2-hydroxybutyric_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0jFKA0EUgOG0eoocwELwAlvkCBZWwSKFNpZCEGQRrYQgWGmVwkKsREifTrESgmBhICi5h7BvszATJZDC6vuan9nM7rxk02oBwCqd4vfmdou0656TPa/di+5fRLcH0Y/76OWoavnwXLXYeI/16bTqcOs7ujOP61dfcd/mZ+zvTGL99hqdjKODp/r8u+jBbfTlJlpep/PMzur959HHk+hema7b/bqHdY/Sz4fH6fcuuum+5r5eul7sa37/Ve8ps3Re9vzm/MX1frpu3lc259L/Jp8vn/OvuQEAAAAAAAAAAAAAAAAAAPgvP9mRQn8=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=104.035 Q3=74.000 sample=20 experiment=1 RT=4.06 ce=-30.00 name=L-serine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="168">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0L0NgkAYBuAbhVGucgRqK2qiDGCsraiomYRRHMXik4KLBgtJjDxP8yaX+37uUgIAgD9xOeSf6vOpqc6LuXPO5/dz5PEWWQ2RpzGy6yPb67OueZ3lu8o55T6ltX9513/Nt+9tVQ8AAAAAAAAAAAAAAAAAsCMPPI8dVg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=112.054 Q3=68.003 sample=20 experiment=1 RT=1.73 ce=-15.00 name=creatinine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0rFqAkEURmHLdHkeO0vrCLJVikBAENIpaVw2KJbB9BEsBFOJYJNii61CypAUMYLvkEcQ9p87MBcJpPZ8zWFmx3GctdEAcF6arTpFO63N+3V+3q+38aIXxldp47owrrJ03j5ntefFTdq4v5s3cV875+3p742/25/P30Pz73Vx3r7/TuNsqr4+qflKLbdq961uNfxUOz/q5UHPV/u6xW6n8ceX+v2ubkr1ea32lurLXL14DJ2orXE4z4P6W6izQdg/D+tG6uJerfpp7b7tHv18vB9bd+3m3f8i7pOdfm737N+b599HfO/uvAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA4F+OD5NnVA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=114.056 Q3=114.056 sample=20 experiment=1 RT=3.30 ce=-10.00 name=Proline" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="516">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0j8ohHEcx/EnBiUDdfIngzI4Jsqo3FksBoldyEAsShQ5k5TiEFLcUdL5V/6kw/KUQomUASl0KH8G2YhBfp/nGW6xmbxfy7vv7373e37Xc5YFAADwB9pmfabRsHo7rVaG1JmIGltRq9dVe1ctjqrl2+q0U/dcT9CpM3cOqlW9v9fuUMMD6uOkGtxQa6bU1HF1c17NXYi/93skfvavqQH9jkBwz9QOXZr62l9NU1sS/D9tLEw39V4VmDbFSkw/P8tMx4f8fp1bbprSX2r6ta99nqN8087uHNPT7TTTzKdE0+GJD/O8cP2b7tX9ovn5wTS3VfVV3+ieSddqxpXu36N7B0bP9f3rC+2/1Od2l/ZbJ5qtIp1TN3mrOdnpnNZ9HZoDY/daP75T83QPO6p9VuxM+0YONFfYmrPs+Hl1X7P3RHOtaj0eqn07avOWmr2pNjjvOXtZtZfUmkXVfZ/uuvv/ct83AAAAAAAAAAAAAAAAAAAAAAAAAAAA8E98A8Fsj/A=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=115.004 Q3=70.900 sample=20 experiment=1 RT=4.19 ce=-15.00 name=fumaric_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt23VAFE0YBnBKWoE7enfP7u52XjsRA7sDu7u7u7u7u7s7sPOzu0FQQZDvmZn3/vgePzjudmfnN7WzkcaHfaNr1xRrD0Zvn+HVUpw8V/mJY0sHsW37w1YDInuIWleLxnVI6iPOipH7bNcHiJL7Lg04sXKI8DJWtMx5dZRIePJgdN8q40T6cmd3OB2eKHxSk2/VKDJVFGvz4d+DDTPE7pcf5+/xnS1GPio7uPGm+eLb6i4vV4olonmXhdXf318hVrUfX3ST/xphCxQXnu5fJ6qf2Xrb1XeTOHZUvraKEVaJjpU67xRl3279ne/Qbv75XrE8YP3x0yEHxIal5zLs6nNI7Mz6ZuyK60dE3ozp47s1PC7u1pl1PvOzk8J37uYxdaufFjtSpmSavfaMqNOp25mYlLMi7nZEW//G58W8svld6uy5IIrhIGb6XhIPbHHlb3a4LKYv7GEbe+qKUMVjXBPH6y3IOKP/ddHq+MDT12/eEM7ztu1yD4oR9aovH5XtTIxY8296nSo9b4mfe0dk6GDeFpU69/wx/vJtMd/R+tT6AXdENq+dNfwK3BUHfqbcHfTxrihbN7VKjrX3xPXStW/Nbn5ftMy2vNnfoAfim/+Xt+1vPhD9e3xtFDj5oUjTpMyr4RUeiQUVp3Z7//eRyJbv8a86+x+LbVOfdHLq+USUHZDrZ+ccT8X11oOH33n5VLSsecmj7NL/xLeiIXM2RD0T/eeGujVM91ykGdFxxsmLz0XNIs2mzaMXYl2vst4P1r4Qg979GVrG46W4lelJ4oguL0UudYIvxdilKxNcC74ST+XlnfdKFA1sHzvp9yvhNSV9u29NX4u2F5xfFjjxWlR1HeSTJccbsXHwxZyl5rwR0w6Ujcqb/EZ8zjO9T8UOb0VMZ9flxWLeiv0b5BveiSDr8lux7p1IaiL8C6d7L5rGzMhXfdB7US6tPNP3InONoWPz1/ogUParKx/4IDql0LUSGT6KS31nfao95aPY3EIW1Efhn+51s8rdPomBJ1aG5//vk/ivR/NHobU/i0rpwxa5nPwstt681/BL/i8iYNScoPurvohBBSLvngz4Kp6/8EGN+Coqz75Ud+7Pr2Jb+fH+w9t/E/4r2zQa9fSb6JtcdsXYqO+iVd+MnWuc/y4yqdcP8eDrhfnT2/wQZfPcXfJu+Q/hknti8KMbP8SRx1NSon//EPd9FzwobsWK2HKrd3tVjBW9VEWI1fV/Wqz4W7xC2PHtsWJi7PZMB27EioGyon6JFR07zzMK+cSJxus9QnvljBPf8DUvK8WJKx+6N9naLk5s8K6Stf+YODE2jwMfHSda1f51zPNUnCjd68ak28/iRNOEwziCOFFMXm7zp7CV7NLHUfqn+Na0QrkPTX6Kq8PCvfcM+ikU2yU/xYuBuODHforwuo+NYS9/ivq5bpQb5h4vbna4975L7njhRZe9u9aJFzjavF37x4sTDc7db7IkXvzJdyixycl4UdBzm9n0TbzYXmnv+WpeCWLhLL8hxXIn6PYhIkF8/4ZXjwTxI9Zcd2RugijcuOXzfocS+DolCMXc7ZfYffLLijJ5fonPx316jGj4S2Q9lqvsqVG/hNmo2AT71l+igXzd+yVm1u+XZWHqLzHh28jun3L+Fqfkn0X9Fomf5B/+FoU/Pn28c9Nv0f39382xt3+LDW/DBxdO+S1evC5ZrX/2PyLsVeOQg3X/iIDh7Vt7D/sjzoRkq59m7R/Rd8/7yk5X/ogsEZtL/P3xR8iz/xWSqOuPSBTPshcp1qZTonCUnp9YZF4il3uieHWui/vVz4nivGwmg5NEXlnNyydxfUwSbc7eyR29OEm3ixeSuJ4liQVVDmfcm+GvUIcZ8VeU2L3kdNyQv2Jyh6mzbZv+ClyNNoXu/RW5b3UrWM8lWQyb0MK5T/5kXS+bJ4s2UfWyr5qcLPZ4Vfx98kCycD1Z+OLz18kiShaPf4p48x0FXipF9Ot6ck219inC7f20HF+npwj5MTsPpwivu/2P9n6bIm5uR0MY8E8ce/GuYwr9E18GvL5yodc/8WjztY2rV/3T1z/mn+hRZNRBckkVo6qdHG6VSBXAgyqZqj2uShXloGTg7VTxUVZTFyeaO64RarATLclbpcaqfE7U4qDRqFgVJ8pQPrbdtRZOJL+lbX8n2hi1bPifaU6U7WTjuKnrnaiKLMYTTpTp4dXLKx44kWzte/5wotlN0DB4OVO1JfV6/8roTE5P7tY/UcqZpJbHdZ1J1YfOzjQIrXHSaGfK2t9liedSZ7qTo3j74H3OpNqDG86kmu8PzqTaPScXcv/6Yc64EBdqC+1d87mQqS6cCz24tPRjzeYu9N0evrRAPxeSrZ3XdBcqYaFFXu9C25Oadz9/woWeHdpTcNlDF1LtY6wLvWmJhsLblWTxRmd2pV8RE0u7lXalww+a49BdCVe1QYEuriQ+e7S9MNqVtCdXQmWv+XWPK6lqf9WVfvd/sSzgrSsVOj128Jp/rpTuRIHFuULdqLq8cAXdKKv76PkVa7rR8deB1uVoN2pwetO62qPc6Cs43F3iRuOHxextst+NrKbtSz+/6UaTtowf+e+DGxVteaS6r0saqtD6bUwmIw1BMRreNBRT6eGP+BppaHd/1Mw2aUg5HZSGDpTKNqjAzDS0sOub6/Hr01BY7W0ddh1LQ0kjuhzrdyeNPp9PaehfxaSvn53cCbgr7gpxp5Mfe01snd+dlq3JfDi5qjsNaXb/06LW7tSw8VjvjEPcCX+Va/Ncd9rlioq53Z2mOaEDveBOqlt84U6q/ia5U2XZrAR60IYBi/v1yOtBMenR0lT2oKRLpwL/tPCgLH3uvikzwIOKfPGeNXS6B1XYUjrnhvUehMFF0etHPcivgRyBeJDqlz540Ijdb0Jq/vOgA63qZukT6Em1mu/7ujqXJ8ne6qrwpHftb051ivKkylX7JPp19iTVnY3wpHZNd8wuPteT2qgD96T1OYM6pj/hSR8y3FseeMeTro9flzPovac+vyRPUpctrRfl2dmz1NOMXqT6/WJeZAwuPHxyTS+6WLP45PKtvShoWo1Pbv28qP21FjUvTcT7oie1a7HMi9SwZKcXlZEd0Fkvks1TjftedCXt4jRfP3jRq8I44b9epPtNb1L9WgZvmhSPhqawN61C65qlijctWYxXE29a3JtKTOvpTU8xShg9zpsqy8u92JtmrfpT8N0Obxouu4Vz3nTpVcB3+2Nvanyl0Lnd37ypilONho1dfWhQgyGjnEN8aLrrmTbDcvsQas+TxHI+tPzL4IBR9XxIdTvRPrT9XkGcug+lWTunlPN0H2opO75VPiRHE8f2+RAKA7J9aFjI0+Rtz31odce9n/om+FAHjDYdvr6Uttbo54sz+9KefD3WOpfxpUYBzTp2jvKl5J9V0RT6UsVJ5QoVGO9LspuasNyXem7I3/vWAV+yXw/OnDXGl6q/2XR58Bdfkr31I4+0hFp5qmTmtHSnz/Rji8ulpW2/ZceVVvvon1bXj9lpqfTzyOkLd6SlCwenPCx1NS3JUd+992lJNT9p0tHTKrImpKNEv48Hd1ZMR6q/bJOOUGtGVhuZjprPPJOQY1k6GjHtcFevw+lo1eRdLz/eS0dnJmxsdCUuHcnR6BY/P+oom/fcfrQ/6O/Vb9X9KHpL66h6Hf1I9YPj/Eh2F2Fr/GhBpwOhOU/7kWpfX/jRk4r3zohUPxqHajXd358+5cTALKM/jXJe+Di6kD+9311/cWRFf5LFeK2+P6nxXDt/ujL4S9S7vv50qhla3rH+dFAOx+b663q11p/i5PBjjz/d9zs3zfWMP8nqWOSWP916OG713+f+hFpe7uw3f9LjCn+SzXw93wB6jWoSbgRQdnmiOQPo7+hFqGEBtBXNTKfKAZS7LUZ89QJIju6etwwgNS7oGkBq3DgwgO4sPNTpydgAWl0BF3RWAN0IQ4Euw+f8CBuQZlMA5ZAVcW8ANVy5dfvDkwE0dkC/6meuBtCuCIz8HwTQtXV9u558FUADIh3BXb4G0OhsKOnfAXTUBS2ws43GFUKL422jSLK3OWu3ETr/8/tMm24fstqojBzA57NRh99v2qwuZqPW3sk3TGGjqZgVZKtq0+1epI1256ZvRRvZdHvf0kZD5MC+g40G9DbSvuiOz1PjIhtdqIaGeaiNqksoo20kZwETJtoo464+nWZPt1F/NIsL59roz/uZDdcstlGtH61XbFpp0+3ZehuhkZl2eKuNNjWS8GykhpMHbTRy5vsM947bSPXvZ3Eccpx12aZ93rARJitnwu/atLtHNmrUDCOpZ/g5RuMN3thIttYnPuLnX/Ifzf7dRrL3nxVv0w4SbdRw+I4DbVPxc9d8+6+62UnNR7zs1A3NfdZ0dqqTHNr3gc3O/aSdSsgLZ9hp8YvTZeqmt9NVdONFM9spZVv6SWHZ7ZR/7o3tKbnsul3JZ9f1v5CdMAkbvqOYnWQzsrCUndA5ZB9azk6Hqzyr1aqCnYwoz1tVq9gpotTBX7lr2GkkZk3+te30Ii8+qa5du2pip1q2lmhK7fRJdi8d7TTp5q7c1AOfK1/97aSG2cPsNMe26fOAsXYqgNZh4hQc3y90qLPttLQBKtQiO+l5q53kr7est+vy3GEnUzYAR+z0EqeXesFOclaZ7Y6dusgDfc7H9wmfezS7n0+Cnd6g+32baqfL+Rckt/UKpFGZ5916YgskPf4OJNktXc8aSGo+mD+QJoV5jDtbIpDU/KZCICU4oeBrBtLWePyjQSCpaXLLQCqC0VzJToH06ch/h/b0DqQYOX0ZGkgTLked3jQuUNffGYEUt6tO1yULA2nzutpkXx1IrRbVCpq2JVD3m/sC6e+Gs9aY44Ekh5dJFwJJzvr6xgSSY8zxZV8eBepxyutAmtIZJ/glkMrLgdqvQJK1/25qIP3XNV+WCK8gmtsqT+J5WxBVlxMEM4jkbPVg1iDtJH8QdcsnR85BpOa/FYLIsyxKumYQqWFLgyCSw9JZLYMod+j8u16dguilnHb1DiL8dMTfIUEU8XNG/X7jgqhwOs+JsdOD6KOze/MuC4NoFWadr1cFUUP5gy1B5Ptf6uO7e4NI9o4Rx4No8Lm/4y5cCKL8ciATE0RBsqF/FKTr5esgGrqp6Z/334Moz5RKM5YkB/H5BJOeXweT/LrtmYJ5vBJMPa82texlgimDghZMajraIJhG9wp9nqttMKl5Xo9g2uvbe9vUocHUTk6sJgVToBxAzQumc7vRca0OJjXP3hGsx6FHg+k+Lt/Ri8G6P7sbTJ4/K6UYL4NJzUNjg0mPm0MI/x3jYQ8hNd/LHEJ6/SREu68eQpHyQrUMofFyeN0rhI5kedng4+gQ0vOrEB5Hh1CeaMx0DoYQJs8bvC+EUF45XbwVQnrehfePR0X6EEJdZMHHh3A9DqEWqqMLpQdr0YGEhFLdrksGLssUSpJHvnyhVEl1qKF0AizqVw4lOYp5WyeUdqMaDmweytc3lNY9P5FuWd9Qcmz8UC3fyFBaJJdPpoRSQDFZc0NJDgdfrA4lOXrqsz2UIqMh4nAoXcrTqerCc6FUIX726JwxoaTWd56EUtGxbxMi3oeSGh7GhVJOObH9F0prHrVd5+YdRubqac8WBIVRh/Klj2TJGEYvPKPjD+QJI7WeUCJM9zcVwyii1as13SPD6GI21KSmYURyYaRDGB3ZLweEYYTR2dQDw8N0eU8Oo+yyws0Lo1V33Et1XxVGn/ui594aRu3lgOFgGD1z8ZqS/mwYt8dhdGt2838VH4dRzSYTStx/G0bnM6ADiA3T5ZYYpvt3l3BSw1bvcN3/2sKpt2wQjXCS3cLIzOHUSw6Ucofr+UeRcFqBYppeJpzk9ONtpXBafrF2dLmIcH3eDcJp6ZArjb63CNftaIdwuoJmYl2PcKqeLzVjyoBwkqtADUaGU7WXQwJ3TAyni0cOTXefFU5V5v1yb7UonC50xwRvVTipdabN4RQvh1u7w0ktexwOp59JaEjO8HFf4eO+HU6rdjyZnvtJOGWQDdvrcFLLJp/DSc7yK/4Ip4hxaSN3xoeTr4STGE7XRmICmRJOU1Oif79xNnR/6m5QyQxoeb0N+rO85D+Hn0FyujjBbtCGU9+vxYYYJKtHE9MgtS6QwZC9+p3cWQ268+yFz9ycBs1BsSflNUgNywoZRHJ5sphBclhYp7hBcvh+B/kBw+iGJQzqLyeEyDty2a+kQXI69ARpQVHbUgYNDdxR9SVSLm+0L22QWm9DZpYD2TIGyW79K1KumvUqa9DV1ZUP/EQ2lh1LOYPHxwb1xduGCYOc5IsMUuuISAPDc/fyBm26ICcChp6XVTDobEKO5jORdeQbKxqEd2GiZxBmW3NDK6F86r9evxQ5/nPdQ47KBtnUwpjB432D8u5Z/n0jUs7yclc19PVG3hv0MVvBagbJs92H/LERX1zdoOFCfrNB6jRqGNopUs8vDZIfdwGp3lYL5XkNL6ScVkZGGKTXLwzd3tU2dPuIlMPh5pGGnn8it+BdbesY3F4Y2kVdg+odcuBUDJLD7x71DFLrNkg1v6xvkBwG/UbKyzEkyqA1KOYUpCy+0Q0MksXi1tCgGrKCIVW71cjQPpF6XdegkbIAkaoeNjF4XmRQdrWAZZAaDiDVvLiZQTd/o6CRalzf3CCUnuc2pGo/Wxjk1jBd3j1IeXWLtjQovbwgSFVdWhl6fIHU8zyDonDZziHV5WhjUE954ZDJsvjaGiSLJQYZIk+3ncHjd4PU4bU3SDXbyFry46INkm97jeygXgbFy2VkJK7a1G4dDUonKwJymVwO74TyLIKBN3LitTED+nU2qJJcPkbqdV6D1LJAV4O+oFqNRw6WJ9zNIHf1gYZe/+hu6PEsUl6OwB6GnjchL6P4wnsaJItlOVKeboZeBvVWQAz6h8PL1tsg+bWbkXKZLkcflCeG9VuRbr6H7ubri/Jcm+39bqRaZ+uH8rzt6nsIqZYx+xuklpmRUZjtlB+A8sQw9xyyh+w4BqI8W6ElRE7+7TU9YpBBwTMHrYxBrsPH1h+M8pQLLki17jIE5fm10MenyEeY7rQaivKUC0BIPY5EedbEG5BqOW+4odtZpOp/Rhh0YPPGYQnIiuXxTSMNPW9CqnnvKIPkMo/zaJTnypiH45DuxcVnjzEGyWHyFKQc5qYbi/KU9yOQ8rQDxxm6H0Q2xGGGj0d54uuXI9U68gSUp7x9gVTzlYkGhR5J3b8ZuaEuSmKSQWodFCmXlQpNNqi2fAPyyc4ctpJTDMKnZzmGTHiWpriYauj5FVItf00zaPl6fBAyt1yYmm4Qrs7cG0gcxfq6M9Bu4rLcRRbsl9q1/kyUp0+PEfeRNdc+ndVkFsqzlPwXyvP24f2tZqM8O2NGh1Tz1TkoT7mMgVxaAB8w19DzPaRal5mH8vx9slgCUo2/5ht6vIZU68MLDL0esdDQ8xKkWm9chPKUA3jkjr1FrqRdjPKUh4FU6xpLDD3/QKr561KUp7yBgFS3FZahPB/iwJGh6hcGyVHWZmThlRPG5FmB8sRR7URG3Gi3sdBKlGc0ThCp10FRnvN2PjuK1OvzKE85rUbK0WblNQbJuzOXkIemyC9CeWaqGnEDKYup7jr0Qzj9u0h5Wo3Wo3+UBYb0lAe0waD5+PgXSPln7TaiH8L/vkOq+z6bDL0+hFT3DzajHyqDXyBVv73FIFytyESkWsfZapBc3UxF4mQmjNmGfkh+wHaD5G8nISPlwvoO9EOzmsTMQHaRF2qnQeryINU4dBf6IVmcSFlMjt2GHm8i1bhqj0HqcJHyMHLtRT8kPx6pxjf7DFL/i/SWF36/QaglKBJDr+8dQD+k1rnRD8nbKQcNebVwpQ09vjuEfqgjLgBSVsfIw+iH1AegH5LD9yMGz+sMUveLjqIfUhfKIHl52hzDuEF+EfI5irPjcYO61ZdnbpC6r3AC7SZOKxYZKAvspEHyMH4j88sJ/yn0Q3L9HKnm/6cNXk9BuykLFqnuA501aIT8BdK3h/yXQYoBUk1HzqMfktUWWV6doEGqmiGbo/pkuoh2U1YLpLrNdwntprxQSLU+fhntpvwipCzOIld4XIXU61oGqdNCvpTL/dfQbsrDQMqPr3od7ab8M2SwqpgGSc4xN9j5TXZ+k53HsPMYdn6Lnd9i57fZ+W12foed32Hnd9n5XXZ+j53fY+f32fkDdv6AnT9k5w/Z+SN2/oidP2bnj9n5E3b+hJ0/ZedP2fl/7Pw/dv6MnT9j58/Z+XN2/oKdv2DnL9n5S3b+ip2/Yuev2flrdv6Gnb9h52/Z+Vt2/o6dv2Pn79n5e3b+gZ1/YOcf2flHdv6JnX9i55/Z+Wd2/oWdf2XnX9n5N3b+jZ1/Z+ff2fkPdv6Dncey81h2HsfO49j5T3b+k53Hs/N4dp7AzhPY+S92/oud/2bnv9n5H3b+h50nsvNEdp7EzpPY+V92/pedJ7PzZHaews5T2Pk/dv6Pnaey81R27mRq50jl3NnUzl1M7RypnLua2jlSOXcztXOkcp7G1M6Ryrm7qZ0jlXMPUztHKueepnaO1PfBTO0cqZx7mzx/MrVzH1M7RyrnvqZ2jlTO05raOVI5T2dq50jl3M/UzpHKub+pnSOV8wBTO0cq5zZTO0cq53ZTO0fq+yymdo5UzoNMXn8xtfNgk+8vmLzOaPL9Q1M7RyrnYSbJuzHTkIuPLpjlF25q50i9Hm1q50jl3DS1c6RybpnaOVI5d5jaOVI5T29q50i9z8DUzpHKeUZTO0cq55lM7RypnGc2tXOkcp7F1M6RynlWUztHKufZTO0cqZxnN7VzpN7HYWrnSLk83DWnqZ0jlfNcpnaO1PdlTO0cqZznMbXzvKZ2jlTVIp+pnSOV8/ymdo5UzguY2jlSFVNBUztHTpnxJi59IVM7R6r10cKmvp+H1OsVpnaOVNPxoijPvZ/67kcm1GgyoUQxUztHKufFTe0cqddrTO0cqZyXNLVzZCuPG2F1S5n6PidySLGt5RqVNrVzpHJextTOkTvnRU9qVxblKfdpIJXzcqZ2jlTOhamdI5VzYufEzsuz8wrsvAI7r8jOK7LzSuy8EjuvzM4rs/Mq7BwpD8eqatKRrl6Jq5Dq/mQ1k+SPNyLVfcbqKM/LZytsR6r7rDVMwrs77kWq+yk1TX3fAKn2T9RCecobAMhr3/CHESbJZajzyPfWxg/VaqM85Y0npLNcmIk0aSYu522kKb+gjkmb7TGVHiJlsTari/KssL3zM6RaV6ln0rPeqAHIbvJA6qM8cTifkPJrukeZeh0Uqe7rNTBJLj/9Qh4D1yENTb0ehcS7i4xqhPKUC46NUZ7xqBhIvc7Pzpuw86Yoz/pp1s5BymoU1AzlOebVxUVIdd+ouUnytscK5Mdq+IIWaDdfLAtYj1T3b1ui3URxbUWq9chWaDdxeruRJeWBtDb1+hdSfk2pNibJPz+OVPse2qLdvIoCRU5qhwNuh3ZT/gApb3NGtDcJtd8eg1TrotGmXv9DytusTTqg3ZR/iPyZ/nbPVh3Rbh6kMa+Q6SJRQzuh3cRl/9CJnXc29f1BZEUUf+8upr4/j1Trs11NvQ6JVLenu5n6fmt3tJs4nHHIDPgajx4myT+fgiwtL3hPky4tQoEiJVd7L7SbF/EDZC8Jq7ep75P0Zud90G7Kgu/Dzvuyc6Tad9PP1Ot7/dh5f3ben50PMElepqNIfwl1INpNuU8PKYur0iC0m/IdSHU/ejDaTRz2jcHsfAg7H8LOh5okf/wYqe6TD0O7KQ94GDsfzs6RV8Cm8whT3w9DvkU17zkS7aY8MaSslv1HmSSrWyJS3c8djXYT1SMVKS/7mDFoN+X+oLFoN+UXINXy+Di0mxICUu3TGG+SLIZ5SJssqAloN+U2jAnsfCI7n8jOJ7HzSex8MjufzM6nsPMp7HwqO5/Kzqex82nsfDo7n87OZ7DzGex8Jjufyc5nsfNZ7Hw2O5/Nzuew8znsfC47n8vO57Hzeex8Pjufz84XsPMF7HwhO1/Ezhex88XsfDE7X8LOl7Dzpex8KTtfxs6XsfPl7Hw5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw87XsPO17HwtO1/Hztex8/XsfD0738DON7Dzjex8IzvfxM43sfPN7HwzO9/Czrew863sfCs738bOt7Pz7ex8Bzvfwc53svOd7HwXO9/Fznez893sfA8738PO97Lzvex8Hzvfx873s/P97PwAOz/Azg+y84Ps/BA7P8TOD7Pzw+z8CDs/ws6PsvOj7PwYOz/Gzo+z8+Ps/AQ7P8HOT7Lzk+z8FDs/xc5Ps/PT7PwMOz/Lzs+y83Ps/Bw7P8/Oz7PzC+z8Aju/yM4vsvNL7PwSO7/Mzi+z8yvs/Ao7v8rOr7Lza+z8Gju/zs6vs/Mb7PwGO7/Jzm+y8xh2HsPOb7HzW+z8Nju/zc7vsPM77PwuO7/Lzu+x83vs/D47v8/OH7Dzh+z8ITt/xM4fsfPH7PwxO3/Czp+w86fs/Ck7/4+d/8fOn7Fz5He5DfQ5O3/Ozl+w8xfs/CU7f8nOX7HzV+z8NTt/zc7fsPM37PwtO3/Lzt+hPOWN+nfs/D07f8/OP5gkt12+QSY2DGjW8SM7/8jOP7HzT+z8s0lHa5U6+OszO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/wc5j2XksO49j53Hs/Cc7/8nO49l5PDtPYOcJ7PwXO//Fzn+b1F1uREKq/T9/TL2/4Q87T2TnyAIv6h2tlcTOk9j5X3b+l50ns/Nkdp5iktoGnsLO/7Hzf+w81aQK7ewTviFjknAATha1mPNjSzxS7Y9ytvR+UKTaN+9ikfq1q6WdI5VzN0s7RyrnaSxq8O5OnVlI5dzd0s6RyrmHRXI7wTKkcu5p0fq+uOLIQj6Pb2X1skhe/k1ItV/E2yL5051Ivb/b0vs+kGPktilfi/xkASHVfd20Fql990j89ZRK6SyqjK+7iLydVe6QtEhty0d+icKB+ls0RP4DKUu/YYCl98UiM+1dZbWwWfq+OVI+PdDObul9YUi1HyHQIrVtDtlHbhMMsij1wYYVcUj8z+7+wRaFyw9GblwRd29oiEVFJACk2m4baun792Eoz2S5EcgidZrhKE8c/gykOizDIvl185Ar5ceYlt6XgTycEQdqoTz1P0g9r+Gw9H4YpHKe3tL7BpFqn2gGi/Q+aouyyA3aGS29fxWp9tdksvQ+MaR6bCKzRfKynkeqfdFZLL3vCSmLt3ZWi0x1AS3ajOKIymZp58hzOPxm2S2qKx8jQar94Dks7RypnOe09D5kpF3+I5dFqy3USCS+ZV3f3JZ2jlT7FPNYdH8oTggpq/HIvBbFyuqZz6IRsmIjVXXKb+n9m0j93IhF8rLOQarLVdCiG7gMi5CqeAtZJIttBXKALI7CFsnTXIdUh1/EIoeEglT7jopa6mN2Iy/IXxezqL48UKRkW6q4pZ0j9T4/i/cxWRQkC7ykRWtR3S8jlfNSFqnHYpA1ZcUubdFDVKd7SHUfv4xFP3H5nyJHyQ8ua2nnyKXLJACLcsgKhpTF1lVY2jlSOSd2Tuy8PDsvz84rsPOKlt6XgNyOWulRyaJSCpRFlySzyuwcqVhUsaiXOiFL72erys6RqtpVY+fV2Hl1dl6dnddg5zXYeU12XpOd12Lntdh5BDuPYOe12Xltdh7JziPZeR12Xoed12Xnddl5PXZej53XZ+f12XkUO49i5w3YeQN23pCdN2Tnjdh5I3bemJ03YedN2HlTdt6UnTdj583YeXN23pydt2DnLdh5S3bekp23Yuet2Hlrdt6anbdh523YeVt23padt2Pn7dh5e3benp1Hs/Nodt6BnXdg5x3ZeUd23omdd2Lnndl5Z3behZ13Yedd2XlXdt6NnXdj593ZeQ923oOd92TnPdl5L3bei533Zue92Xkfdt6Hnfdl533ZeT923o+d92fn/dn5AHY+gJ0PZOcD2fkgdj6InQ9m54PZ+RB2PoSdD2XnQ9n5MHY+jJ0PZ+fD2fkIdj6CnY9k5yPZ+Sh2Poqdj2bno9n5GHY+lp2PZefj2Pk4dj6enY9n5xPY+QR2PpGdT2Tnk9j5JHY+mZ1PZudT2PkUdj6VnU9l59PY+TR2Pp2dT2fnM9j5DHY+k53PZOez2Pksdj6bnc9m53PY+Rx2Ppedz2Xn89j5PHY+n53PZ+cL2PkCdr6QnS9k54vY+WJ2vpidL2HnS9j5Una+lJ0vY+fL2Plydr6cna9g5yvY+Up2vpKdr2Lnq9j5ana+mp2vYedr2Pladr6Wna9j5+vY+Xp2vp6db2DnG9j5Rna+kZ1vYueb2Plmdr6ZnW9h51vY+VZ2vpWdb2Pn29j5dna+g53vYOc72flOdr6Lne9i57vZ+W52voed72Hne9n5Xna+z1LbGDfsY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnSPrVul5telxdn6cnZ9g5yfY+Ul2fpKdn2Lnp9j5aXZ+mp2fYedn2flZdn6OnZ9j5+fZOXJvw4tufhcsvb8TqZ7PuYjytOxlFiHVc2CX2Pkldn6ZnV9m51fY+RV2fpWdX2Xn19j5NXZ+nZ1fZ+c3LP38BFLt/76J8lyQ3PbyTXYew85j2Pktdn6Lnd9m58i08sGGOxbJx99e3mHnd9k5Uj2HcA/luSs3fUO2kA/K3Ud5PveMjkcOlK8HKE+/d5OTkHM2RC0b/tAi9Zz2I4ufH0B5dl91x/2xRSi9d5ORDZYN/+P7xNLPGyHV/uinaDfbXs6/ADklqXiFsP/QbsoPRKrnop5Z+rk1pNyOnPW5pZ93QD6eeHNX7hcoT/nFyPgD2+4VfInyrG182IeUh1f8lUXya48ic8kCfI3yxNtOIyvJ1xu0m0/2NLyIVM/lvrX0Pnuk2k/6DuUpTwQ57xbe+N7SzwMhdzodftD8A9rNRdk/PUeqffsfUZ7yhJHq+b1PFqGUC39BpsrHuD+j3cyKM0Gqxz2+WPq5RaR67uyrpZ/3QkbKB8S/od3E4bl9R7uJr52IlB/n/cPSz+8gA+Qr1iK523ceMo+sqHGWfk4QKRlZP9Fuym3HyDbyjfHsHDlMVugEtJvRKEGkrFb5f1kkHz/Yg1TPrfxGuykfw0eqbe1/0G7icpxEymKukGjp/b1IZ/nFSWg3cbpXkeo5979oN3F4t5DqeYZki+THPUhm5yloN//DC9m1P67wP4tw1VzeICeAW8dUtJuyoJFq/7STg/LJNyL1czoO/Twn8r58bMzFQe3kBUGqfdCuDhohP9DNQT64vOOR8rJ5pnHofe5I5dzdoZ0jlXMPh3aOVM49HSQPbwXSVV5gLwfJj1uHlG/L7u2grVvwQpaQkHwchKt2cxeyvqwIvg69nxwpeZRK6yD1/DZSPX+SzqGdI5VzP4d2jpTVpZa/g2Q1uIl8KB8DDXCQvGz3kPJyNLY5+LkRh3Zud2jnyBwScKCD9svHVpHKeZBDO0cq58EO7RypnIc4tHOkch7q0M7DHNo5UjkPd2jnSOXccGjnSOXcdGjnSOXccmjnSOXc4dDOkcp5eod2jlTOMzi0c6RyntGhnSOV80wO7RypnGd2aOdI5TyLQztHKudZHfw8jUM7z+bQzpHKeXaHdo5UznM4tHOkcp7ToZ0jlfNcDu0cqZzndmjnSOU8j0M7RyrneR3aOVI5z+fQzvM7tHOkcl7AoZ0jlfOCDu0cqZwXcmjnSOW8sEM7RyrnRRzaOVI5L+rQzpHKeTGHdo5Uzos7tHOkcl7CoZ0jlfOSDu0cqZyXcmjnSOW8tEM7RyrnZRzaOVI5L+vQzpHKeTmHdo5UzoVDO0cq58TOiZ2XZ+fl2XkFdl6BnVdk55XYeSV2XpmdV2bnVdh5FXZelZ1XZefV2Hk1dl6dnVdn5zXYeQ12XpOd12Tntdh5LXYewc4j2Hltdl6bnUey80h2Xoed12Hnddl5XXZej53XY+f12Xl9dh7FzqPYeQN23oCdN2TnDdl5I3beiJ03ZudN2HkTdt6UnTdl583YeTN23pydN2fnLdh5C3bekp23ZOet2Hkrdt6anbdm523YeRt23padt2Xn7dh5O3benp23Z+fR7DyanXdw0P+krfpA</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>eJzt0T1OAzEQBtAcjRtQUlKkSLFFhFAUrVYRy5+4DkdImXJLjoPEzljyAD1C7zWfvLbHY+9mAwAA/9zycvWVl7c+l+c1P+Y130+RD/H9sR8vT/2+y2v/PdfnuNWZ+8zzc/48RY6RQ9S5j/FN5D5yt+Z8XeZ3ZTz0+1q9oazfxvxd2b/t12X/yyH6j/c6H0v/xzKf52T/U39e1sv+Wp9j6Svfad9ne8ccn36u1+qMJW/LukNZn/eL98j/XO/7rd+cz/v+ds+pHwMAAAAAAAAAAAAAAAAA/AGfnD5+yQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=116.047 Q3=73.900 sample=20 experiment=1 RT=3.70 ce=-15.00 name=guanidinoacetic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="292">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0DFKA0EUgOE9UogXSGvhAVIrS+wCqQSL2HgDNRIEsRGL2OQABtIJgYAXEvbNBPKIJJXV9zU/s8zOPKZpAAD4d+3XoOvmu+t0su26Wv7E94tN9GwdbZfR2Uu09xTd3kYHl9HpMK3Po6/XqTflvIdo8xbtv5fz59HRfdl3d/ic3mT/3npuXdf78xx1vma8/z3vr/I6+2v/7p4kv0/+P89T13Xeq8fobBFtP6P9j/L9ufxX3qO+026+4eF5s7zvVMfeCwAAAAAAAAAAAAAAAAAAjvgFFdtGKg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=116.072 Q3=116.070 sample=20 experiment=1 RT=3.05 ce=-10.00 name=valine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="596">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="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=20 experiment=1 RT=4.03 ce=-10.00 name=5-Amino_pentanoic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztzr1LQlEYx/G7CC6CiFsEtVtbFCHR2NzQy94WLeEcd4vCQBDCXjSztDGorBtFVPZCf4RjEG0u0Rj4e+7wNLa0fD/L957n3HM4QQAAAAD8j3Dwebr/MfWgLj72G2ashY7ms/dqXfOgca0O3Kjzkdprq1nbf4/8etU6Zv9lztTlK3XkXO1eqimbJ9p+PX6rrtzpnalXtfGm+fCL1p8d///v+6JT3/yJutRUh7bVj7JvuKWmN9TKupos+nlpU82V/XqipBZ31eyOPx/vT9bVhYrvzJ46eqTOHfp3x+uwqj7t+/34/Jfdv9ay+bH//8Luydf8fdGB+l3z74r3k3YeAAAAAAAAAAAAAAAAAAAAAAAAAAAAf/YDB8hkqw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=117.019 Q3=73.100 sample=20 experiment=1 RT=3.96 ce=-30.00 name=Succinic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="140">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0bEJgDAQBdCM4giOYOsI6QRHEKwd3UIsDIYYoti81xzHh/vFhQAAAB/bxqEqL+3V/bFwP5Ons1+ue64nm5/34n3+lrRnWo/ZzW29T//Q+i8AAAAAAAAAAAAAAAAAAH63A2Z8Frg=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=117.056 Q3=71.000 sample=20 experiment=1 RT=1.89 ce=-15.00 name=2-hydroxyisovaleric_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0s8rBGEAh/FVyk2rkNicHB0d9uAwykVJUnvbi8I6iN0kciL5mVDKkd3bctooLmKO2x7ICbcVWuUi7R8g73de9U7rrPR8Lk/vzOw78+77RiIA8JfmPZPsqOpPqulZ93p5xr3/29gbd6/beona83lT7vs2ttTtA7XnWL2/NvXjdxpXn02zQ1XT9Gdd33eH3xtNu0stptGuDtP6m5ju5zpNP1LtpoMDzab9xSbTYqbBtDyh+dIpze+/VvTet0f18lbNF4N1+mrqSn26UBPnaulMrZyq08G6Wk/UkbwaC9ZdPVTHjtSXfTW6oyb31IddNb4afM+mav/H8rratqYurKhLi2phWbX7YPuzb8F+2v0JP2fPjzfnjsMtZGrPGz4HdhzpdZ+z58ZLhn6XdOcFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOCf+AJNgXZ2</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=118.051 Q3=54.900 sample=20 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="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztybENADAIwDBOY+aqnl6JC2BEssckAgAAaK9y1acfAAAAAAAAAAAAAAAAAACO+WVbAx8=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=118.051 Q3=74.100 sample=20 experiment=1 RT=3.79 ce=-15.00 name=threonine（离子对正确具有唯一性）" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0rFLAlEcwHFBaBRxaBK7sdmpKXRtiOamoCXE4cAhaJCjBCNsbgoigqaaHQwOQbzFEGloaWh1CMdcQvr97g2/p/0B0vezfHl373cPvctkAAAAsPaiw8rK+vfj4/T+3up1FNo5Z2mfa2Tn/Aantu452+fa5FIbntm6+fGFPSdo23l33e07udLObrSlR2k0iaVx/UN6UPyWJp189bcP11vS5msg7WU3pTvhhvSuPNf5r6m0svuprb1rfyZ6zttIez/U83MD7XPftvWiLfTsev9J273V5jv29x3VbN3/5K//2r80n77HcSNd+9+R93wAAAAAAAAAAAAAAAAAAAAAAAAAAAD8GwtH1mN5</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=122.025 Q3=78.000 sample=20 experiment=1 RT=2.36 ce=-30.00 name=Nicotinic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="156">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0rEJwCAQBVBHEzJC6lRZJKNklIyWyuZQ1GAV3mvkgxznnSkB8FvXlqs5nsWz13O5F/NsH7F+q89enfucqxPfG/tozunI1Ry13jVrtP/evGb383Wvo3r/bdX8AAAAAAAAAAAAAAAAAAAAWOYF73kmrg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=128.072 Q3=128.072 sample=20 experiment=1 RT=2.95 ce=-30.00 name=pipecolic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0r8KQVEAx3GPYTQaPcJdvAGzSUmKlJKIWPyJUd1FWQwYGRR1C3UHmb2EdzD87lHn6JYyqe9n+XZO3Xv+3JtIAACA/5D1vpr38p7VoGCPU0W1V1YfA/Xmq5etujyo/knd7NT2Sq0s1OZYDSfR+0dqaRat343Wq9vru/sy53iPXXHn/5G5B/P+oKqmOmqmoQ779tjdv3u/H+czYs5Ra2m+PVfT0T1fj+rzrN5DdRSoub0artXk1N6v+x+Yuvt5z8f8Tx/7d56L/W4AAAAAAAAAAAAAAAAAAAAAAAAAAAAA/tELZ6BHKQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=130.051 Q3=83.900 sample=20 experiment=1 RT=3.65 ce=-30.00 name=L-4-hydroxyproline" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0rsNwjAUBdAMkZoZGMEtI9BmhHS0WYEFEBUSBSulZAyK50QyEoWxy3OaK1l+H1keBgAA+jmluvPavv/2yXXp3GmPrLlfp/lbrkvk4Rb5fkbOr8jxHvm4Rh4vuW5KZf+vXOdy7q999vtTeV79Tq3/BQAAAAAAAAAAAAAAAAAA2nwAEUwY9w==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=130.062 Q3=88.000 sample=20 experiment=1 RT=3.55 ce=-15.00 name=creatine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="400">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0T1Lw1AUh/FM4tdwE6eOHSNI6ejo6FgXB3EQfKFYLPW9KiqKqINIBZGgDkUcHLuJ38KhgrODivd/buBkcHPy+S0Puek9uUmTBAAA4B/rbaeh9wdqcqJeZurinbp2q1Zu1IcrdexUHTxT3/fVnl1XzlP3nNlDdeFYfTxSS7avuuXnxHMVz3m9p6brata0OSvq8PLv9zt1f5017PdL1mm7P+cb58Z5Txv+3HFOd9Wv5/t31XLLnjPv5+TnLqzn72X7Pzo2pxtan3oOnXzrh6aNz9B2MjD60/GhL63vvKqbL9o/Yv9r/L/6Nv+i7c8Zv398r/y7Nf1543sWv2e8Ls0U9tX8ejrh13PVwjUAAAAAAAAAAAAAAAAAAAAAAAAAAADwt74BGghtiw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=130.087 Q3=130.086 sample=20 experiment=1 RT=2.72 ce=-10.00 name=isoleucine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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=130.087 Q3=130.087 sample=20 experiment=1 RT=2.61 ce=-10.00 name=leucine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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=20 experiment=1 RT=3.99 ce=-10.00 name=asparagine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0L1KglEAh3GJghwiCKfWllqabGt427qJwJamiMAuwCUIyrG5FrNSMw0qS8tK+0SwIgqxMpCIIjBocDCIzv84eAFtz295OO/55HW5AAAAgH8WOXJM/cdqTQ10n7Z+/9hXx1Oaz+XV/IXq1/pAIqd1ybR6uKfvB5rP3t+o6WdTX7Ci8eid1g1cat+QPefRvi9gz7veUWe31FxC7bPvC23rnEG9L+u+1XjqRfOZN90bfzV1SlW1/mk6/dQ28ldvqcd0brjXtLHoMa39dJh2nrtNK1ddpk6xXePvL907Vta9S2e6N2XfF9T/aP5H1/uJ1sUKar3Qui+aUeeT6m5EdVbUckhdWFeLYbXfjn1ramPVnhdTvXY8s6F67DkPdjyxqS7H1Wq0dV+zk+HWewEAAAAAAAAAAAAAAAAAAAAAAAAAAPDvfgHpWIDR</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=131.083 Q3=131.083 sample=20 experiment=1 RT=6.23 ce=-10.00 name=Ornithine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="580">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="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=20 experiment=1 RT=4.50 ce=-30.00 name=aspartic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0T0KwkAQhuEcwlPkCKkCdlaCYCEKIaCNCKLBwkobK4tgI3oSS49h6REsLS1mZmGHiPZ5n+ZzJ7uzPyYJAAAAgFbZdXP5kebxhzSu34c63ki+j5Kdi+TtKlmdJccnyX4t+dpLPg463krWa+2/ivsXldbn2mcp+ZzpvFLnLSR3A62P4iwKybyvOXV9elqfNK/zfa0e3uPLetsvzBvF8y3D+7uxrQv7l/F3659kP9a5/Yy/l43Deu3n72v1cO6suR7e287Z+2+evaPfL7xj5tLfz5/n2zv4Pm6dP4//nwAAAAAAAAAAAAAAAAAAAAAAAAAAaJkPbiJcrQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=133.014 Q3=71.200 sample=20 experiment=1 RT=4.00 ce=-30.00 name=malate" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="108">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztz7ENgDAMBECPRskIGYfRGA0pXaqXAjLNXfON5berAACgyXUeM++xZpp/K/X87as/u/bu9qS5rnsBAAAAAAAAAAAAAAAAAIge3l4LQQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=135.056 Q3=78.200 sample=20 experiment=1 RT=0.61 ce=-30.00 name=N-methylnicotinamide" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="100">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0rkJACAMAEAHs3AA95/HyiYgSAofuCtDPkJK4Zzabm/wl+y9snU91K36xPjuvJnnDwAAAAAAAAAAAAAAAAAAAAB42wB/1QRt</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=136.040 Q3=91.900 sample=20 experiment=1 RT=1.46 ce=-15.00 name=4-aminobenzoic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0k8rRFEYx/H7Em6yuMnCSl6DpFmx9g4moZtGDTXihpCQiAXjfwaJhZSymDSLG5Ms2MzbsVH3+R11zlvw/Wx+Pec+9/zpnCgCUOiul4psHVlWTkveeKpMzpVnlrnG82P1n1hWryzja8upG8vhO8su5aC+t24tXxuq1d++9MfbF5YTqusP2q+y51HrP1kOad5c52ke6Dxr6qvp+7iffalflydVzymnNT7rZ7yueZfVt2P5uat1t7R/7SMJxuMN/ZcF+9R85RnVi9rnkvpXlJtB7TILcj7YfzDvX9b8dVzt/nPzuP54we9zdbKt8X2d69CyV+/EvYOqu2/Vqd7JiO6z0rQcfS9y9efL6rHvIkudjo0/Wx01Piz73ywHXizr95bufVf3dJ4sOK+7R903AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD4F34BO/WARw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=145.014 Q3=100.900 sample=20 experiment=1 RT=4.01 ce=-15.00 name=a-Ketoglutaric_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0b9LAmEcx/FryQan/oL7Q4KeFpEmaWqKo0kcQg4EIYgzCBoihCSoKRBXoXJrcRUdxMk/QFtc/AeC6Pncc/Ac2SRN79fy5rl7vg/3IwgAAACAf1a/N7bDRI2aav0q7aVaafg1p7m5W3//+k5td9TFU7r/Ra111f2+WnpTJw9q+do/350bpucMXm2TcKz17qdt83jn6KfTw4Lt3kHRNgq+7H3TWmluOdPc+0h9/lDPBupJT50//v5+JlaTC9V9F7evcpM+f9u/HlX9OfcdzXlunavbv2kuu+7W5b/3uf/sms3HG54n9t8zu587FwAAAAAAAAAAAAAAAAAAAAAAAAAAAFv3DYK+WBI=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=145.051 Q3=81.000 sample=20 experiment=1 RT=3.96 ce=-45.00 name=adipic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztzqERgDAQRcGUQilnUwIahaOElJJSI25iGFRMELvmiTvxSwEAgM3aGbsnLGk1snP/k+139rji83963wEAAAAAAAAAAAAAAAAA4CcGrlIHxA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=145.062 Q3=57.800 sample=20 experiment=1 RT=3.80 ce=-45.00 name=glutamine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztzyEOwkAQBdC9EcjKaiRB1XIGDGqD4Q7gsE04Axg0R+hRSDotSUmWuqr3zBczszObEgAAFORNvcyeZqE9M//5rY93dfvIfIzcXSNv9z5z9xr63n0+DpFp9YzctsP8JXJ9nr5XnerJvvGO0r3fevO/rzQHAAAAAAAAAAAAAAAAAAAzPhTFH8I=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=145.098 Q3=145.098 sample=20 experiment=1 RT=5.98 ce=-10.00 name=lysine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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=146.046 Q3=101.600 sample=20 experiment=1 RT=4.11 ce=-30.00 name=Glutamic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0b0JAkEQBtArxGI2sARjOcTYUBAMrgLFDkQwtxRLMhgnuAVdUQyU95KP2bud/es6AAD4MWVWPpo/TJ/Pz++P1qnn96v7/8vIflPG41Wf1vrfkvubHCK3x8jdOXJxirzsI6/ryDzHMB/X2S/Pl/Wr99saz7p+j/o+W+/U6vvufgEAAAAAAAAAAAAAAAAA/tgNqy4nDQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=148.044 Q3=148.044 sample=20 experiment=1 RT=2.89 ce=-10.00 name=Methionine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0j0vQ1Ecx/FGzCQI8QLshsbCoLwEixEh8ZCYrKSJSBokqo2kBjYWUo9tPEbTBjESVlGEpu0qYhHJ+f3PcAeT0fezfHPPPffmnntOKAQAAP6kZ6/bdexQndhXE1m1xa57d9W8za9aCzb+bvObC67R0L1rrqaiDn65Ps1+q4ufmhd903MPmh9qvFLnz9XOI3XlQB3NqCM2XrbxiH1nye6/2v0mW1fSxhszwXU1ZIPzzux6+FjfF8nrejKnTuv7os+3rgNTRdf2/g/X1GptxN1fqHet9jW4puY0nht60XuWboLr6dpUw2tqbF2Np2xdSTVh80obat2JWjxV/T769fle2H/y+xZOq622fx3bwf8R+eW5cbuO7aj+PPhz85gOfod/f2o3+FzF5sdtn/z/3srrevlavbPz0Gb/a+ZS88p2zvz+ZOy8DFj9uQAAAAAAAAAAAAAAAAAAAAAAAAAAAADwL/0AH2KNyg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=149.046 Q3=59.100 sample=20 experiment=1 RT=2.13 ce=-30.00 name=ribose" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="176">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0LkNwkAQBVCXQil2CYRkThw4o2RKoAQShDQDX7vk7yWjOTR7LAsA/9vWGkdzo/61zj323/WY93o6ZxTD/vVW5y5HzXu/51970/+98/7+ft5nX5t/3mt/P0Oe3t3v0+spzur/E/rxPml+tg4AAAAAAAAAAAAAAAAAAABzXrh5JL4=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=149.046 Q3=58.800 sample=20 experiment=1 RT=2.70 ce=-30.00 name=arabinose" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0jEOAiEQBdA9Go1HsKexsTImliYexSN4RAthE76SbGGhyXvNZBgWhoVlAYA/V/ZliPXwistpzHv9fmz1GvPDbVeGuHX/2Toz36qv82rkW8V3ea4c7/Pf4qSvevncT7+PvKdcJ/uYmdVzfN2nvZPsYz1Pqz/OrX4d8x7zXfU8/8PsnQAAAAAAAAAAAAAAAAAAAPyQJ30CNUo=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=151.026 Q3=108.000 sample=20 experiment=1 RT=1.88 ce=-30.00 name=xanthine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0i1LQ1EAh/ErGAyCqyKLgh/AD3BtYvEqrC1oEG4YqIhjYeJ8GSqo+MIUltRVwy0GQQz7ADLEMBDMBsVlk3j+5wzO5WaDPL/ycF7vCTcIAOAPdTZCtRx645NVNdlTc1V/X27dr9sfrfn7r5azzwcle66SfU//PWV/vrZozy9lj4OinY9T6yX/Pe6dbt3d37+n4O934/6+YuqeOLVeSs1vqsmxOtNSxx9Na40X04X2p2n0Gkz9Nj4fMa1Mjmr8lTftzo6Z9ua0HucHTKNmT/cNvpmGrWd95+JJ8zdtjb/v1Y87tZCo89fqQ1O9vVSHG/773X8Rb6u9QzVn2zlS90/V7pk6sauuHKhDdX//ez173f0n0zv23i17zv2PVX8eAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIB/5gfx4nGq</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=154.062 Q3=93.000 sample=20 experiment=1 RT=6.30 ce=-30.00 name=Histidine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztzy1Sw0AYh/EcoUeIREYiVyJ7hEhkJDKqlEIhfLYMXwEBtkeIROYIkcgegRn2WZEOlsE8P/Of3ffdd3ezTJIkSZIkSf+m+Ag/ufceMyP332JOyfw55lcb85OsXmIe0nfEfvMQ8+A1ZqCveYq5bsfZUO85N5Bz6hPOdbwjp79YxyypF48xN6wnq5jb+5g12ZOBLOib3vEv5na3zGG/Zl1d8c4b6mTJufaa+avxO8pL7iFz+jLO96wnaX7qa7g/zT1nDvvZBdn8nltyw9wpc2rmhFPuYZ3PYnbMzak3zKnIlnq35H9n/IN6uTN/INvlOAeypt6dUCcD7wlz+rgnoz8sWFMvU99iJznXpntm43NpPRzTn95JfUj9kiRJkiRJkiRJkiRJkiRJkiRJ+mvfJcKBWg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=157.037 Q3=96.900 sample=20 experiment=1 RT=2.45 ce=-30.00 name=allantoin" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0i9uAkEUB+A9Qu9Tg+gR8CBqUCSkSU0FpgmapB7FAUhFJUlJdY9RyRGa8PZtsg/GIb/P/DL/3szsbNcBQMPueXLJyWtkt+xzFnlc9Dkd9+e6HF8/3W7n/NrOelnnqm4//rAa103Deco9sn+YPyu5HI8391+UeS+36+b8zSby/BH5s4t8PET+ni65fv+O9v4z8m8f+bWNnL+Nz5mZ3yHz6n3Kfer3yHbrHVpZ9831dZ+sl/9R6x1zfSsH5XwAAAAAAAAAAAAAAAAAAADc3T+9iFy/</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=157.123 Q3=157.123 sample=20 experiment=1 RT=0.63 ce=-10.00 name=C9:0_pelargonic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztz61KREEcxuFjEcT1a/0CQdQiaxCLSRZk4wGLWIwavIMNBsM2BY0Go2kRrHsRm9ToFehewonivBeh4XnKj+HM/GdOVcH/sN1e7v328atd2hy1Si8OZkrHu1mPZ+dKz18XSp+u5ksnl0ul/bfMmQxXS7tTa6WH9Xrpx3HW1Wl6s5l9/e/c+7KXOSfDxdJBJ/dcN7n/eT/vqT6ns7/OelDnHd1Ozo3eM29lJ+952Mrc0Vm+t+7Tu9v8T7OR8wAAAAAAAAAAAAAAAAAAAADw134Ao+cngw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=160.062 Q3=99.800 sample=20 experiment=1 RT=4.27 ce=-45.00 name=2-aminoadipic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt23VAFE0YBnBKWoE7enfP7u52XjsRA7sDu7u7u7u7u7s7sPOzu0FQQZDvmZn3/vgePzjudmfnN7WzkcaHfaNr1xRrD0Zvn+HVUpw8V/mJY0sHsW37w1YDInuIWleLxnVI6iPOipH7bNcHiJL7Lg04sXKI8DJWtMx5dZRIePJgdN8q40T6cmd3OB2eKHxSk2/VKDJVFGvz4d+DDTPE7pcf5+/xnS1GPio7uPGm+eLb6i4vV4olonmXhdXf318hVrUfX3ST/xphCxQXnu5fJ6qf2Xrb1XeTOHZUvraKEVaJjpU67xRl3279ne/Qbv75XrE8YP3x0yEHxIal5zLs6nNI7Mz6ZuyK60dE3ozp47s1PC7u1pl1PvOzk8J37uYxdaufFjtSpmSavfaMqNOp25mYlLMi7nZEW//G58W8svld6uy5IIrhIGb6XhIPbHHlb3a4LKYv7GEbe+qKUMVjXBPH6y3IOKP/ddHq+MDT12/eEM7ztu1yD4oR9aovH5XtTIxY8296nSo9b4mfe0dk6GDeFpU69/wx/vJtMd/R+tT6AXdENq+dNfwK3BUHfqbcHfTxrihbN7VKjrX3xPXStW/Nbn5ftMy2vNnfoAfim/+Xt+1vPhD9e3xtFDj5oUjTpMyr4RUeiQUVp3Z7//eRyJbv8a86+x+LbVOfdHLq+USUHZDrZ+ccT8X11oOH33n5VLSsecmj7NL/xLeiIXM2RD0T/eeGujVM91ykGdFxxsmLz0XNIs2mzaMXYl2vst4P1r4Qg979GVrG46W4lelJ4oguL0UudYIvxdilKxNcC74ST+XlnfdKFA1sHzvp9yvhNSV9u29NX4u2F5xfFjjxWlR1HeSTJccbsXHwxZyl5rwR0w6Ujcqb/EZ8zjO9T8UOb0VMZ9flxWLeiv0b5BveiSDr8lux7p1IaiL8C6d7L5rGzMhXfdB7US6tPNP3InONoWPz1/ogUParKx/4IDql0LUSGT6KS31nfao95aPY3EIW1Efhn+51s8rdPomBJ1aG5//vk/ivR/NHobU/i0rpwxa5nPwstt681/BL/i8iYNScoPurvohBBSLvngz4Kp6/8EGN+Coqz75Ud+7Pr2Jb+fH+w9t/E/4r2zQa9fSb6JtcdsXYqO+iVd+MnWuc/y4yqdcP8eDrhfnT2/wQZfPcXfJu+Q/hknti8KMbP8SRx1NSon//EPd9FzwobsWK2HKrd3tVjBW9VEWI1fV/Wqz4W7xC2PHtsWJi7PZMB27EioGyon6JFR07zzMK+cSJxus9QnvljBPf8DUvK8WJKx+6N9naLk5s8K6Stf+YODE2jwMfHSda1f51zPNUnCjd68ak28/iRNOEwziCOFFMXm7zp7CV7NLHUfqn+Na0QrkPTX6Kq8PCvfcM+ikU2yU/xYuBuODHforwuo+NYS9/ivq5bpQb5h4vbna4975L7njhRZe9u9aJFzjavF37x4sTDc7db7IkXvzJdyixycl4UdBzm9n0TbzYXmnv+WpeCWLhLL8hxXIn6PYhIkF8/4ZXjwTxI9Zcd2RugijcuOXzfocS+DolCMXc7ZfYffLLijJ5fonPx316jGj4S2Q9lqvsqVG/hNmo2AT71l+igXzd+yVm1u+XZWHqLzHh28jun3L+Fqfkn0X9Fomf5B/+FoU/Pn28c9Nv0f39382xt3+LDW/DBxdO+S1evC5ZrX/2PyLsVeOQg3X/iIDh7Vt7D/sjzoRkq59m7R/Rd8/7yk5X/ogsEZtL/P3xR8iz/xWSqOuPSBTPshcp1qZTonCUnp9YZF4il3uieHWui/vVz4nivGwmg5NEXlnNyydxfUwSbc7eyR29OEm3ixeSuJ4liQVVDmfcm+GvUIcZ8VeU2L3kdNyQv2Jyh6mzbZv+ClyNNoXu/RW5b3UrWM8lWQyb0MK5T/5kXS+bJ4s2UfWyr5qcLPZ4Vfx98kCycD1Z+OLz18kiShaPf4p48x0FXipF9Ot6ck219inC7f20HF+npwj5MTsPpwivu/2P9n6bIm5uR0MY8E8ce/GuYwr9E18GvL5yodc/8WjztY2rV/3T1z/mn+hRZNRBckkVo6qdHG6VSBXAgyqZqj2uShXloGTg7VTxUVZTFyeaO64RarATLclbpcaqfE7U4qDRqFgVJ8pQPrbdtRZOJL+lbX8n2hi1bPifaU6U7WTjuKnrnaiKLMYTTpTp4dXLKx44kWzte/5wotlN0DB4OVO1JfV6/8roTE5P7tY/UcqZpJbHdZ1J1YfOzjQIrXHSaGfK2t9liedSZ7qTo3j74H3OpNqDG86kmu8PzqTaPScXcv/6Yc64EBdqC+1d87mQqS6cCz24tPRjzeYu9N0evrRAPxeSrZ3XdBcqYaFFXu9C25Oadz9/woWeHdpTcNlDF1LtY6wLvWmJhsLblWTxRmd2pV8RE0u7lXalww+a49BdCVe1QYEuriQ+e7S9MNqVtCdXQmWv+XWPK6lqf9WVfvd/sSzgrSsVOj128Jp/rpTuRIHFuULdqLq8cAXdKKv76PkVa7rR8deB1uVoN2pwetO62qPc6Cs43F3iRuOHxextst+NrKbtSz+/6UaTtowf+e+DGxVteaS6r0saqtD6bUwmIw1BMRreNBRT6eGP+BppaHd/1Mw2aUg5HZSGDpTKNqjAzDS0sOub6/Hr01BY7W0ddh1LQ0kjuhzrdyeNPp9PaehfxaSvn53cCbgr7gpxp5Mfe01snd+dlq3JfDi5qjsNaXb/06LW7tSw8VjvjEPcCX+Va/Ncd9rlioq53Z2mOaEDveBOqlt84U6q/ia5U2XZrAR60IYBi/v1yOtBMenR0lT2oKRLpwL/tPCgLH3uvikzwIOKfPGeNXS6B1XYUjrnhvUehMFF0etHPcivgRyBeJDqlz540Ijdb0Jq/vOgA63qZukT6Em1mu/7ujqXJ8ne6qrwpHftb051ivKkylX7JPp19iTVnY3wpHZNd8wuPteT2qgD96T1OYM6pj/hSR8y3FseeMeTro9flzPovac+vyRPUpctrRfl2dmz1NOMXqT6/WJeZAwuPHxyTS+6WLP45PKtvShoWo1Pbv28qP21FjUvTcT7oie1a7HMi9SwZKcXlZEd0Fkvks1TjftedCXt4jRfP3jRq8I44b9epPtNb1L9WgZvmhSPhqawN61C65qlijctWYxXE29a3JtKTOvpTU8xShg9zpsqy8u92JtmrfpT8N0Obxouu4Vz3nTpVcB3+2Nvanyl0Lnd37ypilONho1dfWhQgyGjnEN8aLrrmTbDcvsQas+TxHI+tPzL4IBR9XxIdTvRPrT9XkGcug+lWTunlPN0H2opO75VPiRHE8f2+RAKA7J9aFjI0+Rtz31odce9n/om+FAHjDYdvr6Uttbo54sz+9KefD3WOpfxpUYBzTp2jvKl5J9V0RT6UsVJ5QoVGO9LspuasNyXem7I3/vWAV+yXw/OnDXGl6q/2XR58Bdfkr31I4+0hFp5qmTmtHSnz/Rji8ulpW2/ZceVVvvon1bXj9lpqfTzyOkLd6SlCwenPCx1NS3JUd+992lJNT9p0tHTKrImpKNEv48Hd1ZMR6q/bJOOUGtGVhuZjprPPJOQY1k6GjHtcFevw+lo1eRdLz/eS0dnJmxsdCUuHcnR6BY/P+oom/fcfrQ/6O/Vb9X9KHpL66h6Hf1I9YPj/Eh2F2Fr/GhBpwOhOU/7kWpfX/jRk4r3zohUPxqHajXd358+5cTALKM/jXJe+Di6kD+9311/cWRFf5LFeK2+P6nxXDt/ujL4S9S7vv50qhla3rH+dFAOx+b663q11p/i5PBjjz/d9zs3zfWMP8nqWOSWP916OG713+f+hFpe7uw3f9LjCn+SzXw93wB6jWoSbgRQdnmiOQPo7+hFqGEBtBXNTKfKAZS7LUZ89QJIju6etwwgNS7oGkBq3DgwgO4sPNTpydgAWl0BF3RWAN0IQ4Euw+f8CBuQZlMA5ZAVcW8ANVy5dfvDkwE0dkC/6meuBtCuCIz8HwTQtXV9u558FUADIh3BXb4G0OhsKOnfAXTUBS2ws43GFUKL422jSLK3OWu3ETr/8/tMm24fstqojBzA57NRh99v2qwuZqPW3sk3TGGjqZgVZKtq0+1epI1256ZvRRvZdHvf0kZD5MC+g40G9DbSvuiOz1PjIhtdqIaGeaiNqksoo20kZwETJtoo464+nWZPt1F/NIsL59roz/uZDdcstlGtH61XbFpp0+3ZehuhkZl2eKuNNjWS8GykhpMHbTRy5vsM947bSPXvZ3Eccpx12aZ93rARJitnwu/atLtHNmrUDCOpZ/g5RuMN3thIttYnPuLnX/Ifzf7dRrL3nxVv0w4SbdRw+I4DbVPxc9d8+6+62UnNR7zs1A3NfdZ0dqqTHNr3gc3O/aSdSsgLZ9hp8YvTZeqmt9NVdONFM9spZVv6SWHZ7ZR/7o3tKbnsul3JZ9f1v5CdMAkbvqOYnWQzsrCUndA5ZB9azk6Hqzyr1aqCnYwoz1tVq9gpotTBX7lr2GkkZk3+te30Ii8+qa5du2pip1q2lmhK7fRJdi8d7TTp5q7c1AOfK1/97aSG2cPsNMe26fOAsXYqgNZh4hQc3y90qLPttLQBKtQiO+l5q53kr7est+vy3GEnUzYAR+z0EqeXesFOclaZ7Y6dusgDfc7H9wmfezS7n0+Cnd6g+32baqfL+Rckt/UKpFGZ5916YgskPf4OJNktXc8aSGo+mD+QJoV5jDtbIpDU/KZCICU4oeBrBtLWePyjQSCpaXLLQCqC0VzJToH06ch/h/b0DqQYOX0ZGkgTLked3jQuUNffGYEUt6tO1yULA2nzutpkXx1IrRbVCpq2JVD3m/sC6e+Gs9aY44Ekh5dJFwJJzvr6xgSSY8zxZV8eBepxyutAmtIZJ/glkMrLgdqvQJK1/25qIP3XNV+WCK8gmtsqT+J5WxBVlxMEM4jkbPVg1iDtJH8QdcsnR85BpOa/FYLIsyxKumYQqWFLgyCSw9JZLYMod+j8u16dguilnHb1DiL8dMTfIUEU8XNG/X7jgqhwOs+JsdOD6KOze/MuC4NoFWadr1cFUUP5gy1B5Ptf6uO7e4NI9o4Rx4No8Lm/4y5cCKL8ciATE0RBsqF/FKTr5esgGrqp6Z/334Moz5RKM5YkB/H5BJOeXweT/LrtmYJ5vBJMPa82texlgimDghZMajraIJhG9wp9nqttMKl5Xo9g2uvbe9vUocHUTk6sJgVToBxAzQumc7vRca0OJjXP3hGsx6FHg+k+Lt/Ri8G6P7sbTJ4/K6UYL4NJzUNjg0mPm0MI/x3jYQ8hNd/LHEJ6/SREu68eQpHyQrUMofFyeN0rhI5kedng4+gQ0vOrEB5Hh1CeaMx0DoYQJs8bvC+EUF45XbwVQnrehfePR0X6EEJdZMHHh3A9DqEWqqMLpQdr0YGEhFLdrksGLssUSpJHvnyhVEl1qKF0AizqVw4lOYp5WyeUdqMaDmweytc3lNY9P5FuWd9Qcmz8UC3fyFBaJJdPpoRSQDFZc0NJDgdfrA4lOXrqsz2UIqMh4nAoXcrTqerCc6FUIX726JwxoaTWd56EUtGxbxMi3oeSGh7GhVJOObH9F0prHrVd5+YdRubqac8WBIVRh/Klj2TJGEYvPKPjD+QJI7WeUCJM9zcVwyii1as13SPD6GI21KSmYURyYaRDGB3ZLweEYYTR2dQDw8N0eU8Oo+yyws0Lo1V33Et1XxVGn/ui594aRu3lgOFgGD1z8ZqS/mwYt8dhdGt2838VH4dRzSYTStx/G0bnM6ADiA3T5ZYYpvt3l3BSw1bvcN3/2sKpt2wQjXCS3cLIzOHUSw6Ucofr+UeRcFqBYppeJpzk9ONtpXBafrF2dLmIcH3eDcJp6ZArjb63CNftaIdwuoJmYl2PcKqeLzVjyoBwkqtADUaGU7WXQwJ3TAyni0cOTXefFU5V5v1yb7UonC50xwRvVTipdabN4RQvh1u7w0ktexwOp59JaEjO8HFf4eO+HU6rdjyZnvtJOGWQDdvrcFLLJp/DSc7yK/4Ip4hxaSN3xoeTr4STGE7XRmICmRJOU1Oif79xNnR/6m5QyQxoeb0N+rO85D+Hn0FyujjBbtCGU9+vxYYYJKtHE9MgtS6QwZC9+p3cWQ268+yFz9ycBs1BsSflNUgNywoZRHJ5sphBclhYp7hBcvh+B/kBw+iGJQzqLyeEyDty2a+kQXI69ARpQVHbUgYNDdxR9SVSLm+0L22QWm9DZpYD2TIGyW79K1KumvUqa9DV1ZUP/EQ2lh1LOYPHxwb1xduGCYOc5IsMUuuISAPDc/fyBm26ICcChp6XVTDobEKO5jORdeQbKxqEd2GiZxBmW3NDK6F86r9evxQ5/nPdQ47KBtnUwpjB432D8u5Z/n0jUs7yclc19PVG3hv0MVvBagbJs92H/LERX1zdoOFCfrNB6jRqGNopUs8vDZIfdwGp3lYL5XkNL6ScVkZGGKTXLwzd3tU2dPuIlMPh5pGGnn8it+BdbesY3F4Y2kVdg+odcuBUDJLD7x71DFLrNkg1v6xvkBwG/UbKyzEkyqA1KOYUpCy+0Q0MksXi1tCgGrKCIVW71cjQPpF6XdegkbIAkaoeNjF4XmRQdrWAZZAaDiDVvLiZQTd/o6CRalzf3CCUnuc2pGo/Wxjk1jBd3j1IeXWLtjQovbwgSFVdWhl6fIHU8zyDonDZziHV5WhjUE954ZDJsvjaGiSLJQYZIk+3ncHjd4PU4bU3SDXbyFry46INkm97jeygXgbFy2VkJK7a1G4dDUonKwJymVwO74TyLIKBN3LitTED+nU2qJJcPkbqdV6D1LJAV4O+oFqNRw6WJ9zNIHf1gYZe/+hu6PEsUl6OwB6GnjchL6P4wnsaJItlOVKeboZeBvVWQAz6h8PL1tsg+bWbkXKZLkcflCeG9VuRbr6H7ubri/Jcm+39bqRaZ+uH8rzt6nsIqZYx+xuklpmRUZjtlB+A8sQw9xyyh+w4BqI8W6ElRE7+7TU9YpBBwTMHrYxBrsPH1h+M8pQLLki17jIE5fm10MenyEeY7rQaivKUC0BIPY5EedbEG5BqOW+4odtZpOp/Rhh0YPPGYQnIiuXxTSMNPW9CqnnvKIPkMo/zaJTnypiH45DuxcVnjzEGyWHyFKQc5qYbi/KU9yOQ8rQDxxm6H0Q2xGGGj0d54uuXI9U68gSUp7x9gVTzlYkGhR5J3b8ZuaEuSmKSQWodFCmXlQpNNqi2fAPyyc4ctpJTDMKnZzmGTHiWpriYauj5FVItf00zaPl6fBAyt1yYmm4Qrs7cG0gcxfq6M9Bu4rLcRRbsl9q1/kyUp0+PEfeRNdc+ndVkFsqzlPwXyvP24f2tZqM8O2NGh1Tz1TkoT7mMgVxaAB8w19DzPaRal5mH8vx9slgCUo2/5ht6vIZU68MLDL0esdDQ8xKkWm9chPKUA3jkjr1FrqRdjPKUh4FU6xpLDD3/QKr561KUp7yBgFS3FZahPB/iwJGh6hcGyVHWZmThlRPG5FmB8sRR7URG3Gi3sdBKlGc0ThCp10FRnvN2PjuK1OvzKE85rUbK0WblNQbJuzOXkIemyC9CeWaqGnEDKYup7jr0Qzj9u0h5Wo3Wo3+UBYb0lAe0waD5+PgXSPln7TaiH8L/vkOq+z6bDL0+hFT3DzajHyqDXyBVv73FIFytyESkWsfZapBc3UxF4mQmjNmGfkh+wHaD5G8nISPlwvoO9EOzmsTMQHaRF2qnQeryINU4dBf6IVmcSFlMjt2GHm8i1bhqj0HqcJHyMHLtRT8kPx6pxjf7DFL/i/SWF36/QaglKBJDr+8dQD+k1rnRD8nbKQcNebVwpQ09vjuEfqgjLgBSVsfIw+iH1AegH5LD9yMGz+sMUveLjqIfUhfKIHl52hzDuEF+EfI5irPjcYO61ZdnbpC6r3AC7SZOKxYZKAvspEHyMH4j88sJ/yn0Q3L9HKnm/6cNXk9BuykLFqnuA501aIT8BdK3h/yXQYoBUk1HzqMfktUWWV6doEGqmiGbo/pkuoh2U1YLpLrNdwntprxQSLU+fhntpvwipCzOIld4XIXU61oGqdNCvpTL/dfQbsrDQMqPr3od7ab8M2SwqpgGSc4xN9j5TXZ+k53HsPMYdn6Lnd9i57fZ+W12foed32Hnd9n5XXZ+j53fY+f32fkDdv6AnT9k5w/Z+SN2/oidP2bnj9n5E3b+hJ0/ZedP2fl/7Pw/dv6MnT9j58/Z+XN2/oKdv2DnL9n5S3b+ip2/Yuev2flrdv6Gnb9h52/Z+Vt2/o6dv2Pn79n5e3b+gZ1/YOcf2flHdv6JnX9i55/Z+Wd2/oWdf2XnX9n5N3b+jZ1/Z+ff2fkPdv6Dncey81h2HsfO49j5T3b+k53Hs/N4dp7AzhPY+S92/oud/2bnv9n5H3b+h50nsvNEdp7EzpPY+V92/pedJ7PzZHaews5T2Pk/dv6Pnaey81R27mRq50jl3NnUzl1M7RypnLua2jlSOXcztXOkcp7G1M6Ryrm7qZ0jlXMPUztHKueepnaO1PfBTO0cqZx7mzx/MrVzH1M7RyrnvqZ2jlTO05raOVI5T2dq50jl3M/UzpHKub+pnSOV8wBTO0cq5zZTO0cq53ZTO0fq+yymdo5UzoNMXn8xtfNgk+8vmLzOaPL9Q1M7RyrnYSbJuzHTkIuPLpjlF25q50i9Hm1q50jl3DS1c6RybpnaOVI5d5jaOVI5T29q50i9z8DUzpHKeUZTO0cq55lM7RypnGc2tXOkcp7F1M6RynlWUztHKufZTO0cqZxnN7VzpN7HYWrnSLk83DWnqZ0jlfNcpnaO1PdlTO0cqZznMbXzvKZ2jlTVIp+pnSOV8/ymdo5UzguY2jlSFVNBUztHTpnxJi59IVM7R6r10cKmvp+H1OsVpnaOVNPxoijPvZ/67kcm1GgyoUQxUztHKufFTe0cqddrTO0cqZyXNLVzZCuPG2F1S5n6PidySLGt5RqVNrVzpHJextTOkTvnRU9qVxblKfdpIJXzcqZ2jlTOhamdI5VzYufEzsuz8wrsvAI7r8jOK7LzSuy8EjuvzM4rs/Mq7BwpD8eqatKRrl6Jq5Dq/mQ1k+SPNyLVfcbqKM/LZytsR6r7rDVMwrs77kWq+yk1TX3fAKn2T9RCecobAMhr3/CHESbJZajzyPfWxg/VaqM85Y0npLNcmIk0aSYu522kKb+gjkmb7TGVHiJlsTari/KssL3zM6RaV6ln0rPeqAHIbvJA6qM8cTifkPJrukeZeh0Uqe7rNTBJLj/9Qh4D1yENTb0ehcS7i4xqhPKUC46NUZ7xqBhIvc7Pzpuw86Yoz/pp1s5BymoU1AzlOebVxUVIdd+ouUnytscK5Mdq+IIWaDdfLAtYj1T3b1ui3URxbUWq9chWaDdxeruRJeWBtDb1+hdSfk2pNibJPz+OVPse2qLdvIoCRU5qhwNuh3ZT/gApb3NGtDcJtd8eg1TrotGmXv9DytusTTqg3ZR/iPyZ/nbPVh3Rbh6kMa+Q6SJRQzuh3cRl/9CJnXc29f1BZEUUf+8upr4/j1Trs11NvQ6JVLenu5n6fmt3tJs4nHHIDPgajx4myT+fgiwtL3hPky4tQoEiJVd7L7SbF/EDZC8Jq7ep75P0Zud90G7Kgu/Dzvuyc6Tad9PP1Ot7/dh5f3ben50PMElepqNIfwl1INpNuU8PKYur0iC0m/IdSHU/ejDaTRz2jcHsfAg7H8LOh5okf/wYqe6TD0O7KQ94GDsfzs6RV8Cm8whT3w9DvkU17zkS7aY8MaSslv1HmSSrWyJS3c8djXYT1SMVKS/7mDFoN+X+oLFoN+UXINXy+Di0mxICUu3TGG+SLIZ5SJssqAloN+U2jAnsfCI7n8jOJ7HzSex8MjufzM6nsPMp7HwqO5/Kzqex82nsfDo7n87OZ7DzGex8Jjufyc5nsfNZ7Hw2O5/Nzuew8znsfC47n8vO57Hzeex8Pjufz84XsPMF7HwhO1/Ezhex88XsfDE7X8LOl7Dzpex8KTtfxs6XsfPl7Hw5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw87XsPO17HwtO1/Hztex8/XsfD0738DON7Dzjex8IzvfxM43sfPN7HwzO9/Czrew863sfCs738bOt7Pz7ex8Bzvfwc53svOd7HwXO9/Fznez893sfA8738PO97Lzvex8Hzvfx873s/P97PwAOz/Azg+y84Ps/BA7P8TOD7Pzw+z8CDs/ws6PsvOj7PwYOz/Gzo+z8+Ps/AQ7P8HOT7Lzk+z8FDs/xc5Ps/PT7PwMOz/Lzs+y83Ps/Bw7P8/Oz7PzC+z8Aju/yM4vsvNL7PwSO7/Mzi+z8yvs/Ao7v8rOr7Lza+z8Gju/zs6vs/Mb7PwGO7/Jzm+y8xh2HsPOb7HzW+z8Nju/zc7vsPM77PwuO7/Lzu+x83vs/D47v8/OH7Dzh+z8ITt/xM4fsfPH7PwxO3/Czp+w86fs/Ck7/4+d/8fOn7Fz5He5DfQ5O3/Ozl+w8xfs/CU7f8nOX7HzV+z8NTt/zc7fsPM37PwtO3/Lzt+hPOWN+nfs/D07f8/OP5gkt12+QSY2DGjW8SM7/8jOP7HzT+z8s0lHa5U6+OszO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/wc5j2XksO49j53Hs/Cc7/8nO49l5PDtPYOcJ7PwXO//Fzn+b1F1uREKq/T9/TL2/4Q87T2TnyAIv6h2tlcTOk9j5X3b+l50ns/Nkdp5iktoGnsLO/7Hzf+w81aQK7ewTviFjknAATha1mPNjSzxS7Y9ytvR+UKTaN+9ikfq1q6WdI5VzN0s7RyrnaSxq8O5OnVlI5dzd0s6RyrmHRXI7wTKkcu5p0fq+uOLIQj6Pb2X1skhe/k1ItV/E2yL5051Ivb/b0vs+kGPktilfi/xkASHVfd20Fql990j89ZRK6SyqjK+7iLydVe6QtEhty0d+icKB+ls0RP4DKUu/YYCl98UiM+1dZbWwWfq+OVI+PdDObul9YUi1HyHQIrVtDtlHbhMMsij1wYYVcUj8z+7+wRaFyw9GblwRd29oiEVFJACk2m4baun792Eoz2S5EcgidZrhKE8c/gykOizDIvl185Ar5ceYlt6XgTycEQdqoTz1P0g9r+Gw9H4YpHKe3tL7BpFqn2gGi/Q+aouyyA3aGS29fxWp9tdksvQ+MaR6bCKzRfKynkeqfdFZLL3vCSmLt3ZWi0x1AS3ajOKIymZp58hzOPxm2S2qKx8jQar94Dks7RypnOe09D5kpF3+I5dFqy3USCS+ZV3f3JZ2jlT7FPNYdH8oTggpq/HIvBbFyuqZz6IRsmIjVXXKb+n9m0j93IhF8rLOQarLVdCiG7gMi5CqeAtZJIttBXKALI7CFsnTXIdUh1/EIoeEglT7jopa6mN2Iy/IXxezqL48UKRkW6q4pZ0j9T4/i/cxWRQkC7ykRWtR3S8jlfNSFqnHYpA1ZcUubdFDVKd7SHUfv4xFP3H5nyJHyQ8ua2nnyKXLJACLcsgKhpTF1lVY2jlSOSd2Tuy8PDsvz84rsPOKlt6XgNyOWulRyaJSCpRFlySzyuwcqVhUsaiXOiFL72erys6RqtpVY+fV2Hl1dl6dnddg5zXYeU12XpOd12Lntdh5BDuPYOe12Xltdh7JziPZeR12Xoed12Xnddl5PXZej53XZ+f12XkUO49i5w3YeQN23pCdN2Tnjdh5I3bemJ03YedN2HlTdt6UnTdj583YeXN23pydt2DnLdh5S3bekp23Yuet2Hlrdt6anbdh523YeVt23padt2Pn7dh5e3benp1Hs/Nodt6BnXdg5x3ZeUd23omdd2Lnndl5Z3behZ13Yedd2XlXdt6NnXdj593ZeQ923oOd92TnPdl5L3bei533Zue92Xkfdt6Hnfdl533ZeT923o+d92fn/dn5AHY+gJ0PZOcD2fkgdj6InQ9m54PZ+RB2PoSdD2XnQ9n5MHY+jJ0PZ+fD2fkIdj6CnY9k5yPZ+Sh2Poqdj2bno9n5GHY+lp2PZefj2Pk4dj6enY9n5xPY+QR2PpGdT2Tnk9j5JHY+mZ1PZudT2PkUdj6VnU9l59PY+TR2Pp2dT2fnM9j5DHY+k53PZOez2Pksdj6bnc9m53PY+Rx2Ppedz2Xn89j5PHY+n53PZ+cL2PkCdr6QnS9k54vY+WJ2vpidL2HnS9j5Una+lJ0vY+fL2Plydr6cna9g5yvY+Up2vpKdr2Lnq9j5ana+mp2vYedr2Pladr6Wna9j5+vY+Xp2vp6db2DnG9j5Rna+kZ1vYueb2Plmdr6ZnW9h51vY+VZ2vpWdb2Pn29j5dna+g53vYOc72flOdr6Lne9i57vZ+W52voed72Hne9n5Xna+z1LbGDfsY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnSPrVul5telxdn6cnZ9g5yfY+Ul2fpKdn2Lnp9j5aXZ+mp2fYedn2flZdn6OnZ9j5+fZOXJvw4tufhcsvb8TqZ7PuYjytOxlFiHVc2CX2Pkldn6ZnV9m51fY+RV2fpWdX2Xn19j5NXZ+nZ1fZ+c3LP38BFLt/76J8lyQ3PbyTXYew85j2Pktdn6Lnd9m58i08sGGOxbJx99e3mHnd9k5Uj2HcA/luSs3fUO2kA/K3Ud5PveMjkcOlK8HKE+/d5OTkHM2RC0b/tAi9Zz2I4ufH0B5dl91x/2xRSi9d5ORDZYN/+P7xNLPGyHV/uinaDfbXs6/ADklqXiFsP/QbsoPRKrnop5Z+rk1pNyOnPW5pZ93QD6eeHNX7hcoT/nFyPgD2+4VfInyrG182IeUh1f8lUXya48ic8kCfI3yxNtOIyvJ1xu0m0/2NLyIVM/lvrX0Pnuk2k/6DuUpTwQ57xbe+N7SzwMhdzodftD8A9rNRdk/PUeqffsfUZ7yhJHq+b1PFqGUC39BpsrHuD+j3cyKM0Gqxz2+WPq5RaR67uyrpZ/3QkbKB8S/od3E4bl9R7uJr52IlB/n/cPSz+8gA+Qr1iK523ceMo+sqHGWfk4QKRlZP9Fuym3HyDbyjfHsHDlMVugEtJvRKEGkrFb5f1kkHz/Yg1TPrfxGuykfw0eqbe1/0G7icpxEymKukGjp/b1IZ/nFSWg3cbpXkeo5979oN3F4t5DqeYZki+THPUhm5yloN//DC9m1P67wP4tw1VzeICeAW8dUtJuyoJFq/7STg/LJNyL1czoO/Twn8r58bMzFQe3kBUGqfdCuDhohP9DNQT64vOOR8rJ5pnHofe5I5dzdoZ0jlXMPh3aOVM49HSQPbwXSVV5gLwfJj1uHlG/L7u2grVvwQpaQkHwchKt2cxeyvqwIvg69nxwpeZRK6yD1/DZSPX+SzqGdI5VzP4d2jpTVpZa/g2Q1uIl8KB8DDXCQvGz3kPJyNLY5+LkRh3Zud2jnyBwScKCD9svHVpHKeZBDO0cq58EO7RypnIc4tHOkch7q0M7DHNo5UjkPd2jnSOXccGjnSOXcdGjnSOXccmjnSOXc4dDOkcp5eod2jlTOMzi0c6RyntGhnSOV80wO7RypnGd2aOdI5TyLQztHKudZHfw8jUM7z+bQzpHKeXaHdo5UznM4tHOkcp7ToZ0jlfNcDu0cqZzndmjnSOU8j0M7RyrneR3aOVI5z+fQzvM7tHOkcl7AoZ0jlfOCDu0cqZwXcmjnSOW8sEM7RyrnRRzaOVI5L+rQzpHKeTGHdo5Uzos7tHOkcl7CoZ0jlfOSDu0cqZyXcmjnSOW8tEM7RyrnZRzaOVI5L+vQzpHKeTmHdo5UzoVDO0cq58TOiZ2XZ+fl2XkFdl6BnVdk55XYeSV2XpmdV2bnVdh5FXZelZ1XZefV2Hk1dl6dnVdn5zXYeQ12XpOd12Tntdh5LXYewc4j2Hltdl6bnUey80h2Xoed12Hnddl5XXZej53XY+f12Xl9dh7FzqPYeQN23oCdN2TnDdl5I3beiJ03ZudN2HkTdt6UnTdl583YeTN23pydN2fnLdh5C3bekp23ZOet2Hkrdt6anbdm523YeRt23padt2Xn7dh5O3benp23Z+fR7DyanXdw0P+krfpA</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>eJzt0jEOwjAMAMA+q2PGzkxMCDExMTL3qTwFRONKdYkCYr1bLCeOk6oeBgAAYKMcyjuer0t83Jc432o81f1LzY9lcy6fj7pYj/phLB/v3Rkb6w3z1KmPfj/27dZ/u5/rOvn6Pa3+//Zt3VNjXl//4/RdXbdPnYeYq10+bfPcL78nYsxfnsu1b7ov5hQAAAAAAAAAAAAAAAAA4OUJ9Pw1PQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=163.061 Q3=100.800 sample=20 experiment=1 RT=2.58 ce=-15.00 name=&quot;1,5-anhydroglucitol&quot;" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0CFOA0EUgOE9A2fgAtxgEAgOUI9BI1GEJiQYBMg6Gm6AxCEIGttgqgiyIQRBSNNk3u4mfZQsDsH3mT8zO7M7O00DAH+sjErteG+92U/z3f7mYP15OSwb39+Nv+1L+/N5ftv+vQPnzuv78Ul0cRF9u4k+3NWW6VPtfPZSe7/8qL1aNru1W1+xfntRO/58ju48xvz+bfR9Gn29bnvZfves7XHb0+j8KDo533ze7v66e+/HozTfyv+d7z/L95jvOa8bet4b+C4AAAAAAAAAAAAAAAAAAMA/tAKE70pu</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=164.072 Q3=103.100 sample=20 experiment=1 RT=2.53 ce=-30.00 name=phenylalanine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="388">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0rtKA0EUgOFtRBFBLQJBBFNYKEjII4xFGrFIE7SzWpAlkCAIYrUGtLaxsfCGl0oIIhLSWQl2eYMUFoKSwicQz9kJzEnExvL/mp8zm53ZbBJFAAD8t7KTpFsumF0S1q8PfT421704vN7YyeaqaWzm8uj1wXkZO9t9Z3ZHn1PZ/+V72HPMPHGo3byTpouvOs9+SNvbY6s/fesvSAvLK9L5fkmaf1ySvl/MSVsb49LK2pfcXyj2pG66q/sXX7TNZz1nr6OttrW5B+3nffBc0dO1dvJG27rVJlfa2qX2+FzrzrTrp9qpk2y/I23+IGxaz+5LwvfjZ/9+/brt4PfwzP9qaB0AAAAAAAAAAAAAAAAAAAAAAAAAAAAA8JdvRDVQfA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=167.021 Q3=69.100 sample=20 experiment=1 RT=3.27 ce=-45.00 name=uric_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="316">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0qFKQ1EYwPEr7hnMPoLgC1xBfAI1L5kMA7teELQIisiS0WA1CEaLWAzaRYYYTFNMNoXz7YS7XZnCTfL7lT+H7zvbOKwoAABaUK2U9fN62bj32/sT87HPm7bf1ve2bdAtG88T7zfl/JO8994b7R9GX06jyxej+U307Sn1aO0j9b7zlbpwN7uU5g+d1PPhTOrgcZjm3cXnuL93G92+jM6dRQ/60d5JdPU4+rlfb7ETze+Qf3fu9Vb0tYpe7Uarjfq9fM77+X5+j/F3zvP5zeb5X/+/AAAAAAAAAAAAAAAAAADwz3wDH11Jhg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=173.082 Q3=111.000 sample=20 experiment=1 RT=3.58 ce=-30.00 name=Sebacic_acid写错，正确那个是suberic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0SEOwkAQBdAeAclhEEiOUNlUVSFQyB6hCoHiqCQ0Q7K73WxRmPfMz0w6u5Nt1wEAUPW6nj85X9IMe+u5357/VcwPY2OvvrHXlM3HflNaF/dXviv62fnDLe1H/X3f6I/b97feOe/X5ot+n+4TeVzWPDzXPD3WXO7pOfl/jf0ja/vt7QMAAAAAAAAAAAAAAAAAwJ+8ARmmOQE=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=174.041 Q3=88.000 sample=20 experiment=1 RT=4.25 ce=-30.00 name=N-acetyl-L-aspartic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0q0NgEAMBlD2wlSjUSgSBBOQIBmBERiNURAlJAgsP+E9851p79pcUQAAwM9NVeShjCefcbupicx9/rXLXNrMYx9XWWfOw14/nvtEH6d7vrLf4z+8tB8AAAAAAAAAAAAAAAAAwA02w38R3Q==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=174.057 Q3=130.066 sample=20 experiment=1 RT=1.74 ce=-15.00 name=Indole-3-acetic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt23VAFE0YBnBKWoE7enfP7u52XjsRA7sDu7u7u7u7u7s7sPOzu0FQQZDvmZn3/vgePzjudmfnN7WzkcaHfaNr1xRrD0Zvn+HVUpw8V/mJY0sHsW37w1YDInuIWleLxnVI6iPOipH7bNcHiJL7Lg04sXKI8DJWtMx5dZRIePJgdN8q40T6cmd3OB2eKHxSk2/VKDJVFGvz4d+DDTPE7pcf5+/xnS1GPio7uPGm+eLb6i4vV4olonmXhdXf318hVrUfX3ST/xphCxQXnu5fJ6qf2Xrb1XeTOHZUvraKEVaJjpU67xRl3279ne/Qbv75XrE8YP3x0yEHxIal5zLs6nNI7Mz6ZuyK60dE3ozp47s1PC7u1pl1PvOzk8J37uYxdaufFjtSpmSavfaMqNOp25mYlLMi7nZEW//G58W8svld6uy5IIrhIGb6XhIPbHHlb3a4LKYv7GEbe+qKUMVjXBPH6y3IOKP/ddHq+MDT12/eEM7ztu1yD4oR9aovH5XtTIxY8296nSo9b4mfe0dk6GDeFpU69/wx/vJtMd/R+tT6AXdENq+dNfwK3BUHfqbcHfTxrihbN7VKjrX3xPXStW/Nbn5ftMy2vNnfoAfim/+Xt+1vPhD9e3xtFDj5oUjTpMyr4RUeiQUVp3Z7//eRyJbv8a86+x+LbVOfdHLq+USUHZDrZ+ccT8X11oOH33n5VLSsecmj7NL/xLeiIXM2RD0T/eeGujVM91ykGdFxxsmLz0XNIs2mzaMXYl2vst4P1r4Qg979GVrG46W4lelJ4oguL0UudYIvxdilKxNcC74ST+XlnfdKFA1sHzvp9yvhNSV9u29NX4u2F5xfFjjxWlR1HeSTJccbsXHwxZyl5rwR0w6Ujcqb/EZ8zjO9T8UOb0VMZ9flxWLeiv0b5BveiSDr8lux7p1IaiL8C6d7L5rGzMhXfdB7US6tPNP3InONoWPz1/ogUParKx/4IDql0LUSGT6KS31nfao95aPY3EIW1Efhn+51s8rdPomBJ1aG5//vk/ivR/NHobU/i0rpwxa5nPwstt681/BL/i8iYNScoPurvohBBSLvngz4Kp6/8EGN+Coqz75Ud+7Pr2Jb+fH+w9t/E/4r2zQa9fSb6JtcdsXYqO+iVd+MnWuc/y4yqdcP8eDrhfnT2/wQZfPcXfJu+Q/hknti8KMbP8SRx1NSon//EPd9FzwobsWK2HKrd3tVjBW9VEWI1fV/Wqz4W7xC2PHtsWJi7PZMB27EioGyon6JFR07zzMK+cSJxus9QnvljBPf8DUvK8WJKx+6N9naLk5s8K6Stf+YODE2jwMfHSda1f51zPNUnCjd68ak28/iRNOEwziCOFFMXm7zp7CV7NLHUfqn+Na0QrkPTX6Kq8PCvfcM+ikU2yU/xYuBuODHforwuo+NYS9/ivq5bpQb5h4vbna4975L7njhRZe9u9aJFzjavF37x4sTDc7db7IkXvzJdyixycl4UdBzm9n0TbzYXmnv+WpeCWLhLL8hxXIn6PYhIkF8/4ZXjwTxI9Zcd2RugijcuOXzfocS+DolCMXc7ZfYffLLijJ5fonPx316jGj4S2Q9lqvsqVG/hNmo2AT71l+igXzd+yVm1u+XZWHqLzHh28jun3L+Fqfkn0X9Fomf5B/+FoU/Pn28c9Nv0f39382xt3+LDW/DBxdO+S1evC5ZrX/2PyLsVeOQg3X/iIDh7Vt7D/sjzoRkq59m7R/Rd8/7yk5X/ogsEZtL/P3xR8iz/xWSqOuPSBTPshcp1qZTonCUnp9YZF4il3uieHWui/vVz4nivGwmg5NEXlnNyydxfUwSbc7eyR29OEm3ixeSuJ4liQVVDmfcm+GvUIcZ8VeU2L3kdNyQv2Jyh6mzbZv+ClyNNoXu/RW5b3UrWM8lWQyb0MK5T/5kXS+bJ4s2UfWyr5qcLPZ4Vfx98kCycD1Z+OLz18kiShaPf4p48x0FXipF9Ot6ck219inC7f20HF+npwj5MTsPpwivu/2P9n6bIm5uR0MY8E8ce/GuYwr9E18GvL5yodc/8WjztY2rV/3T1z/mn+hRZNRBckkVo6qdHG6VSBXAgyqZqj2uShXloGTg7VTxUVZTFyeaO64RarATLclbpcaqfE7U4qDRqFgVJ8pQPrbdtRZOJL+lbX8n2hi1bPifaU6U7WTjuKnrnaiKLMYTTpTp4dXLKx44kWzte/5wotlN0DB4OVO1JfV6/8roTE5P7tY/UcqZpJbHdZ1J1YfOzjQIrXHSaGfK2t9liedSZ7qTo3j74H3OpNqDG86kmu8PzqTaPScXcv/6Yc64EBdqC+1d87mQqS6cCz24tPRjzeYu9N0evrRAPxeSrZ3XdBcqYaFFXu9C25Oadz9/woWeHdpTcNlDF1LtY6wLvWmJhsLblWTxRmd2pV8RE0u7lXalww+a49BdCVe1QYEuriQ+e7S9MNqVtCdXQmWv+XWPK6lqf9WVfvd/sSzgrSsVOj128Jp/rpTuRIHFuULdqLq8cAXdKKv76PkVa7rR8deB1uVoN2pwetO62qPc6Cs43F3iRuOHxextst+NrKbtSz+/6UaTtowf+e+DGxVteaS6r0saqtD6bUwmIw1BMRreNBRT6eGP+BppaHd/1Mw2aUg5HZSGDpTKNqjAzDS0sOub6/Hr01BY7W0ddh1LQ0kjuhzrdyeNPp9PaehfxaSvn53cCbgr7gpxp5Mfe01snd+dlq3JfDi5qjsNaXb/06LW7tSw8VjvjEPcCX+Va/Ncd9rlioq53Z2mOaEDveBOqlt84U6q/ia5U2XZrAR60IYBi/v1yOtBMenR0lT2oKRLpwL/tPCgLH3uvikzwIOKfPGeNXS6B1XYUjrnhvUehMFF0etHPcivgRyBeJDqlz540Ijdb0Jq/vOgA63qZukT6Em1mu/7ujqXJ8ne6qrwpHftb051ivKkylX7JPp19iTVnY3wpHZNd8wuPteT2qgD96T1OYM6pj/hSR8y3FseeMeTro9flzPovac+vyRPUpctrRfl2dmz1NOMXqT6/WJeZAwuPHxyTS+6WLP45PKtvShoWo1Pbv28qP21FjUvTcT7oie1a7HMi9SwZKcXlZEd0Fkvks1TjftedCXt4jRfP3jRq8I44b9epPtNb1L9WgZvmhSPhqawN61C65qlijctWYxXE29a3JtKTOvpTU8xShg9zpsqy8u92JtmrfpT8N0Obxouu4Vz3nTpVcB3+2Nvanyl0Lnd37ypilONho1dfWhQgyGjnEN8aLrrmTbDcvsQas+TxHI+tPzL4IBR9XxIdTvRPrT9XkGcug+lWTunlPN0H2opO75VPiRHE8f2+RAKA7J9aFjI0+Rtz31odce9n/om+FAHjDYdvr6Uttbo54sz+9KefD3WOpfxpUYBzTp2jvKl5J9V0RT6UsVJ5QoVGO9LspuasNyXem7I3/vWAV+yXw/OnDXGl6q/2XR58Bdfkr31I4+0hFp5qmTmtHSnz/Rji8ulpW2/ZceVVvvon1bXj9lpqfTzyOkLd6SlCwenPCx1NS3JUd+992lJNT9p0tHTKrImpKNEv48Hd1ZMR6q/bJOOUGtGVhuZjprPPJOQY1k6GjHtcFevw+lo1eRdLz/eS0dnJmxsdCUuHcnR6BY/P+oom/fcfrQ/6O/Vb9X9KHpL66h6Hf1I9YPj/Eh2F2Fr/GhBpwOhOU/7kWpfX/jRk4r3zohUPxqHajXd358+5cTALKM/jXJe+Di6kD+9311/cWRFf5LFeK2+P6nxXDt/ujL4S9S7vv50qhla3rH+dFAOx+b663q11p/i5PBjjz/d9zs3zfWMP8nqWOSWP916OG713+f+hFpe7uw3f9LjCn+SzXw93wB6jWoSbgRQdnmiOQPo7+hFqGEBtBXNTKfKAZS7LUZ89QJIju6etwwgNS7oGkBq3DgwgO4sPNTpydgAWl0BF3RWAN0IQ4Euw+f8CBuQZlMA5ZAVcW8ANVy5dfvDkwE0dkC/6meuBtCuCIz8HwTQtXV9u558FUADIh3BXb4G0OhsKOnfAXTUBS2ws43GFUKL422jSLK3OWu3ETr/8/tMm24fstqojBzA57NRh99v2qwuZqPW3sk3TGGjqZgVZKtq0+1epI1256ZvRRvZdHvf0kZD5MC+g40G9DbSvuiOz1PjIhtdqIaGeaiNqksoo20kZwETJtoo464+nWZPt1F/NIsL59roz/uZDdcstlGtH61XbFpp0+3ZehuhkZl2eKuNNjWS8GykhpMHbTRy5vsM947bSPXvZ3Eccpx12aZ93rARJitnwu/atLtHNmrUDCOpZ/g5RuMN3thIttYnPuLnX/Ifzf7dRrL3nxVv0w4SbdRw+I4DbVPxc9d8+6+62UnNR7zs1A3NfdZ0dqqTHNr3gc3O/aSdSsgLZ9hp8YvTZeqmt9NVdONFM9spZVv6SWHZ7ZR/7o3tKbnsul3JZ9f1v5CdMAkbvqOYnWQzsrCUndA5ZB9azk6Hqzyr1aqCnYwoz1tVq9gpotTBX7lr2GkkZk3+te30Ii8+qa5du2pip1q2lmhK7fRJdi8d7TTp5q7c1AOfK1/97aSG2cPsNMe26fOAsXYqgNZh4hQc3y90qLPttLQBKtQiO+l5q53kr7est+vy3GEnUzYAR+z0EqeXesFOclaZ7Y6dusgDfc7H9wmfezS7n0+Cnd6g+32baqfL+Rckt/UKpFGZ5916YgskPf4OJNktXc8aSGo+mD+QJoV5jDtbIpDU/KZCICU4oeBrBtLWePyjQSCpaXLLQCqC0VzJToH06ch/h/b0DqQYOX0ZGkgTLked3jQuUNffGYEUt6tO1yULA2nzutpkXx1IrRbVCpq2JVD3m/sC6e+Gs9aY44Ekh5dJFwJJzvr6xgSSY8zxZV8eBepxyutAmtIZJ/glkMrLgdqvQJK1/25qIP3XNV+WCK8gmtsqT+J5WxBVlxMEM4jkbPVg1iDtJH8QdcsnR85BpOa/FYLIsyxKumYQqWFLgyCSw9JZLYMod+j8u16dguilnHb1DiL8dMTfIUEU8XNG/X7jgqhwOs+JsdOD6KOze/MuC4NoFWadr1cFUUP5gy1B5Ptf6uO7e4NI9o4Rx4No8Lm/4y5cCKL8ciATE0RBsqF/FKTr5esgGrqp6Z/334Moz5RKM5YkB/H5BJOeXweT/LrtmYJ5vBJMPa82texlgimDghZMajraIJhG9wp9nqttMKl5Xo9g2uvbe9vUocHUTk6sJgVToBxAzQumc7vRca0OJjXP3hGsx6FHg+k+Lt/Ri8G6P7sbTJ4/K6UYL4NJzUNjg0mPm0MI/x3jYQ8hNd/LHEJ6/SREu68eQpHyQrUMofFyeN0rhI5kedng4+gQ0vOrEB5Hh1CeaMx0DoYQJs8bvC+EUF45XbwVQnrehfePR0X6EEJdZMHHh3A9DqEWqqMLpQdr0YGEhFLdrksGLssUSpJHvnyhVEl1qKF0AizqVw4lOYp5WyeUdqMaDmweytc3lNY9P5FuWd9Qcmz8UC3fyFBaJJdPpoRSQDFZc0NJDgdfrA4lOXrqsz2UIqMh4nAoXcrTqerCc6FUIX726JwxoaTWd56EUtGxbxMi3oeSGh7GhVJOObH9F0prHrVd5+YdRubqac8WBIVRh/Klj2TJGEYvPKPjD+QJI7WeUCJM9zcVwyii1as13SPD6GI21KSmYURyYaRDGB3ZLweEYYTR2dQDw8N0eU8Oo+yyws0Lo1V33Et1XxVGn/ui594aRu3lgOFgGD1z8ZqS/mwYt8dhdGt2838VH4dRzSYTStx/G0bnM6ADiA3T5ZYYpvt3l3BSw1bvcN3/2sKpt2wQjXCS3cLIzOHUSw6Ucofr+UeRcFqBYppeJpzk9ONtpXBafrF2dLmIcH3eDcJp6ZArjb63CNftaIdwuoJmYl2PcKqeLzVjyoBwkqtADUaGU7WXQwJ3TAyni0cOTXefFU5V5v1yb7UonC50xwRvVTipdabN4RQvh1u7w0ktexwOp59JaEjO8HFf4eO+HU6rdjyZnvtJOGWQDdvrcFLLJp/DSc7yK/4Ip4hxaSN3xoeTr4STGE7XRmICmRJOU1Oif79xNnR/6m5QyQxoeb0N+rO85D+Hn0FyujjBbtCGU9+vxYYYJKtHE9MgtS6QwZC9+p3cWQ268+yFz9ycBs1BsSflNUgNywoZRHJ5sphBclhYp7hBcvh+B/kBw+iGJQzqLyeEyDty2a+kQXI69ARpQVHbUgYNDdxR9SVSLm+0L22QWm9DZpYD2TIGyW79K1KumvUqa9DV1ZUP/EQ2lh1LOYPHxwb1xduGCYOc5IsMUuuISAPDc/fyBm26ICcChp6XVTDobEKO5jORdeQbKxqEd2GiZxBmW3NDK6F86r9evxQ5/nPdQ47KBtnUwpjB432D8u5Z/n0jUs7yclc19PVG3hv0MVvBagbJs92H/LERX1zdoOFCfrNB6jRqGNopUs8vDZIfdwGp3lYL5XkNL6ScVkZGGKTXLwzd3tU2dPuIlMPh5pGGnn8it+BdbesY3F4Y2kVdg+odcuBUDJLD7x71DFLrNkg1v6xvkBwG/UbKyzEkyqA1KOYUpCy+0Q0MksXi1tCgGrKCIVW71cjQPpF6XdegkbIAkaoeNjF4XmRQdrWAZZAaDiDVvLiZQTd/o6CRalzf3CCUnuc2pGo/Wxjk1jBd3j1IeXWLtjQovbwgSFVdWhl6fIHU8zyDonDZziHV5WhjUE954ZDJsvjaGiSLJQYZIk+3ncHjd4PU4bU3SDXbyFry46INkm97jeygXgbFy2VkJK7a1G4dDUonKwJymVwO74TyLIKBN3LitTED+nU2qJJcPkbqdV6D1LJAV4O+oFqNRw6WJ9zNIHf1gYZe/+hu6PEsUl6OwB6GnjchL6P4wnsaJItlOVKeboZeBvVWQAz6h8PL1tsg+bWbkXKZLkcflCeG9VuRbr6H7ubri/Jcm+39bqRaZ+uH8rzt6nsIqZYx+xuklpmRUZjtlB+A8sQw9xyyh+w4BqI8W6ElRE7+7TU9YpBBwTMHrYxBrsPH1h+M8pQLLki17jIE5fm10MenyEeY7rQaivKUC0BIPY5EedbEG5BqOW+4odtZpOp/Rhh0YPPGYQnIiuXxTSMNPW9CqnnvKIPkMo/zaJTnypiH45DuxcVnjzEGyWHyFKQc5qYbi/KU9yOQ8rQDxxm6H0Q2xGGGj0d54uuXI9U68gSUp7x9gVTzlYkGhR5J3b8ZuaEuSmKSQWodFCmXlQpNNqi2fAPyyc4ctpJTDMKnZzmGTHiWpriYauj5FVItf00zaPl6fBAyt1yYmm4Qrs7cG0gcxfq6M9Bu4rLcRRbsl9q1/kyUp0+PEfeRNdc+ndVkFsqzlPwXyvP24f2tZqM8O2NGh1Tz1TkoT7mMgVxaAB8w19DzPaRal5mH8vx9slgCUo2/5ht6vIZU68MLDL0esdDQ8xKkWm9chPKUA3jkjr1FrqRdjPKUh4FU6xpLDD3/QKr561KUp7yBgFS3FZahPB/iwJGh6hcGyVHWZmThlRPG5FmB8sRR7URG3Gi3sdBKlGc0ThCp10FRnvN2PjuK1OvzKE85rUbK0WblNQbJuzOXkIemyC9CeWaqGnEDKYup7jr0Qzj9u0h5Wo3Wo3+UBYb0lAe0waD5+PgXSPln7TaiH8L/vkOq+z6bDL0+hFT3DzajHyqDXyBVv73FIFytyESkWsfZapBc3UxF4mQmjNmGfkh+wHaD5G8nISPlwvoO9EOzmsTMQHaRF2qnQeryINU4dBf6IVmcSFlMjt2GHm8i1bhqj0HqcJHyMHLtRT8kPx6pxjf7DFL/i/SWF36/QaglKBJDr+8dQD+k1rnRD8nbKQcNebVwpQ09vjuEfqgjLgBSVsfIw+iH1AegH5LD9yMGz+sMUveLjqIfUhfKIHl52hzDuEF+EfI5irPjcYO61ZdnbpC6r3AC7SZOKxYZKAvspEHyMH4j88sJ/yn0Q3L9HKnm/6cNXk9BuykLFqnuA501aIT8BdK3h/yXQYoBUk1HzqMfktUWWV6doEGqmiGbo/pkuoh2U1YLpLrNdwntprxQSLU+fhntpvwipCzOIld4XIXU61oGqdNCvpTL/dfQbsrDQMqPr3od7ab8M2SwqpgGSc4xN9j5TXZ+k53HsPMYdn6Lnd9i57fZ+W12foed32Hnd9n5XXZ+j53fY+f32fkDdv6AnT9k5w/Z+SN2/oidP2bnj9n5E3b+hJ0/ZedP2fl/7Pw/dv6MnT9j58/Z+XN2/oKdv2DnL9n5S3b+ip2/Yuev2flrdv6Gnb9h52/Z+Vt2/o6dv2Pn79n5e3b+gZ1/YOcf2flHdv6JnX9i55/Z+Wd2/oWdf2XnX9n5N3b+jZ1/Z+ff2fkPdv6Dncey81h2HsfO49j5T3b+k53Hs/N4dp7AzhPY+S92/oud/2bnv9n5H3b+h50nsvNEdp7EzpPY+V92/pedJ7PzZHaews5T2Pk/dv6Pnaey81R27mRq50jl3NnUzl1M7RypnLua2jlSOXcztXOkcp7G1M6Ryrm7qZ0jlXMPUztHKueepnaO1PfBTO0cqZx7mzx/MrVzH1M7RyrnvqZ2jlTO05raOVI5T2dq50jl3M/UzpHKub+pnSOV8wBTO0cq5zZTO0cq53ZTO0fq+yymdo5UzoNMXn8xtfNgk+8vmLzOaPL9Q1M7RyrnYSbJuzHTkIuPLpjlF25q50i9Hm1q50jl3DS1c6RybpnaOVI5d5jaOVI5T29q50i9z8DUzpHKeUZTO0cq55lM7RypnGc2tXOkcp7F1M6RynlWUztHKufZTO0cqZxnN7VzpN7HYWrnSLk83DWnqZ0jlfNcpnaO1PdlTO0cqZznMbXzvKZ2jlTVIp+pnSOV8/ymdo5UzguY2jlSFVNBUztHTpnxJi59IVM7R6r10cKmvp+H1OsVpnaOVNPxoijPvZ/67kcm1GgyoUQxUztHKufFTe0cqddrTO0cqZyXNLVzZCuPG2F1S5n6PidySLGt5RqVNrVzpHJextTOkTvnRU9qVxblKfdpIJXzcqZ2jlTOhamdI5VzYufEzsuz8wrsvAI7r8jOK7LzSuy8EjuvzM4rs/Mq7BwpD8eqatKRrl6Jq5Dq/mQ1k+SPNyLVfcbqKM/LZytsR6r7rDVMwrs77kWq+yk1TX3fAKn2T9RCecobAMhr3/CHESbJZajzyPfWxg/VaqM85Y0npLNcmIk0aSYu522kKb+gjkmb7TGVHiJlsTari/KssL3zM6RaV6ln0rPeqAHIbvJA6qM8cTifkPJrukeZeh0Uqe7rNTBJLj/9Qh4D1yENTb0ehcS7i4xqhPKUC46NUZ7xqBhIvc7Pzpuw86Yoz/pp1s5BymoU1AzlOebVxUVIdd+ouUnytscK5Mdq+IIWaDdfLAtYj1T3b1ui3URxbUWq9chWaDdxeruRJeWBtDb1+hdSfk2pNibJPz+OVPse2qLdvIoCRU5qhwNuh3ZT/gApb3NGtDcJtd8eg1TrotGmXv9DytusTTqg3ZR/iPyZ/nbPVh3Rbh6kMa+Q6SJRQzuh3cRl/9CJnXc29f1BZEUUf+8upr4/j1Trs11NvQ6JVLenu5n6fmt3tJs4nHHIDPgajx4myT+fgiwtL3hPky4tQoEiJVd7L7SbF/EDZC8Jq7ep75P0Zud90G7Kgu/Dzvuyc6Tad9PP1Ot7/dh5f3ben50PMElepqNIfwl1INpNuU8PKYur0iC0m/IdSHU/ejDaTRz2jcHsfAg7H8LOh5okf/wYqe6TD0O7KQ94GDsfzs6RV8Cm8whT3w9DvkU17zkS7aY8MaSslv1HmSSrWyJS3c8djXYT1SMVKS/7mDFoN+X+oLFoN+UXINXy+Di0mxICUu3TGG+SLIZ5SJssqAloN+U2jAnsfCI7n8jOJ7HzSex8MjufzM6nsPMp7HwqO5/Kzqex82nsfDo7n87OZ7DzGex8Jjufyc5nsfNZ7Hw2O5/Nzuew8znsfC47n8vO57Hzeex8Pjufz84XsPMF7HwhO1/Ezhex88XsfDE7X8LOl7Dzpex8KTtfxs6XsfPl7Hw5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw87XsPO17HwtO1/Hztex8/XsfD0738DON7Dzjex8IzvfxM43sfPN7HwzO9/Czrew863sfCs738bOt7Pz7ex8Bzvfwc53svOd7HwXO9/Fznez893sfA8738PO97Lzvex8Hzvfx873s/P97PwAOz/Azg+y84Ps/BA7P8TOD7Pzw+z8CDs/ws6PsvOj7PwYOz/Gzo+z8+Ps/AQ7P8HOT7Lzk+z8FDs/xc5Ps/PT7PwMOz/Lzs+y83Ps/Bw7P8/Oz7PzC+z8Aju/yM4vsvNL7PwSO7/Mzi+z8yvs/Ao7v8rOr7Lza+z8Gju/zs6vs/Mb7PwGO7/Jzm+y8xh2HsPOb7HzW+z8Nju/zc7vsPM77PwuO7/Lzu+x83vs/D47v8/OH7Dzh+z8ITt/xM4fsfPH7PwxO3/Czp+w86fs/Ck7/4+d/8fOn7Fz5He5DfQ5O3/Ozl+w8xfs/CU7f8nOX7HzV+z8NTt/zc7fsPM37PwtO3/Lzt+hPOWN+nfs/D07f8/OP5gkt12+QSY2DGjW8SM7/8jOP7HzT+z8s0lHa5U6+OszO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/wc5j2XksO49j53Hs/Cc7/8nO49l5PDtPYOcJ7PwXO//Fzn+b1F1uREKq/T9/TL2/4Q87T2TnyAIv6h2tlcTOk9j5X3b+l50ns/Nkdp5iktoGnsLO/7Hzf+w81aQK7ewTviFjknAATha1mPNjSzxS7Y9ytvR+UKTaN+9ikfq1q6WdI5VzN0s7RyrnaSxq8O5OnVlI5dzd0s6RyrmHRXI7wTKkcu5p0fq+uOLIQj6Pb2X1skhe/k1ItV/E2yL5051Ivb/b0vs+kGPktilfi/xkASHVfd20Fql990j89ZRK6SyqjK+7iLydVe6QtEhty0d+icKB+ls0RP4DKUu/YYCl98UiM+1dZbWwWfq+OVI+PdDObul9YUi1HyHQIrVtDtlHbhMMsij1wYYVcUj8z+7+wRaFyw9GblwRd29oiEVFJACk2m4baun792Eoz2S5EcgidZrhKE8c/gykOizDIvl185Ar5ceYlt6XgTycEQdqoTz1P0g9r+Gw9H4YpHKe3tL7BpFqn2gGi/Q+aouyyA3aGS29fxWp9tdksvQ+MaR6bCKzRfKynkeqfdFZLL3vCSmLt3ZWi0x1AS3ajOKIymZp58hzOPxm2S2qKx8jQar94Dks7RypnOe09D5kpF3+I5dFqy3USCS+ZV3f3JZ2jlT7FPNYdH8oTggpq/HIvBbFyuqZz6IRsmIjVXXKb+n9m0j93IhF8rLOQarLVdCiG7gMi5CqeAtZJIttBXKALI7CFsnTXIdUh1/EIoeEglT7jopa6mN2Iy/IXxezqL48UKRkW6q4pZ0j9T4/i/cxWRQkC7ykRWtR3S8jlfNSFqnHYpA1ZcUubdFDVKd7SHUfv4xFP3H5nyJHyQ8ua2nnyKXLJACLcsgKhpTF1lVY2jlSOSd2Tuy8PDsvz84rsPOKlt6XgNyOWulRyaJSCpRFlySzyuwcqVhUsaiXOiFL72erys6RqtpVY+fV2Hl1dl6dnddg5zXYeU12XpOd12Lntdh5BDuPYOe12Xltdh7JziPZeR12Xoed12Xnddl5PXZej53XZ+f12XkUO49i5w3YeQN23pCdN2Tnjdh5I3bemJ03YedN2HlTdt6UnTdj583YeXN23pydt2DnLdh5S3bekp23Yuet2Hlrdt6anbdh523YeVt23padt2Pn7dh5e3benp1Hs/Nodt6BnXdg5x3ZeUd23omdd2Lnndl5Z3behZ13Yedd2XlXdt6NnXdj593ZeQ923oOd92TnPdl5L3bei533Zue92Xkfdt6Hnfdl533ZeT923o+d92fn/dn5AHY+gJ0PZOcD2fkgdj6InQ9m54PZ+RB2PoSdD2XnQ9n5MHY+jJ0PZ+fD2fkIdj6CnY9k5yPZ+Sh2Poqdj2bno9n5GHY+lp2PZefj2Pk4dj6enY9n5xPY+QR2PpGdT2Tnk9j5JHY+mZ1PZudT2PkUdj6VnU9l59PY+TR2Pp2dT2fnM9j5DHY+k53PZOez2Pksdj6bnc9m53PY+Rx2Ppedz2Xn89j5PHY+n53PZ+cL2PkCdr6QnS9k54vY+WJ2vpidL2HnS9j5Una+lJ0vY+fL2Plydr6cna9g5yvY+Up2vpKdr2Lnq9j5ana+mp2vYedr2Pladr6Wna9j5+vY+Xp2vp6db2DnG9j5Rna+kZ1vYueb2Plmdr6ZnW9h51vY+VZ2vpWdb2Pn29j5dna+g53vYOc72flOdr6Lne9i57vZ+W52voed72Hne9n5Xna+z1LbGDfsY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnSPrVul5telxdn6cnZ9g5yfY+Ul2fpKdn2Lnp9j5aXZ+mp2fYedn2flZdn6OnZ9j5+fZOXJvw4tufhcsvb8TqZ7PuYjytOxlFiHVc2CX2Pkldn6ZnV9m51fY+RV2fpWdX2Xn19j5NXZ+nZ1fZ+c3LP38BFLt/76J8lyQ3PbyTXYew85j2Pktdn6Lnd9m58i08sGGOxbJx99e3mHnd9k5Uj2HcA/luSs3fUO2kA/K3Ud5PveMjkcOlK8HKE+/d5OTkHM2RC0b/tAi9Zz2I4ufH0B5dl91x/2xRSi9d5ORDZYN/+P7xNLPGyHV/uinaDfbXs6/ADklqXiFsP/QbsoPRKrnop5Z+rk1pNyOnPW5pZ93QD6eeHNX7hcoT/nFyPgD2+4VfInyrG182IeUh1f8lUXya48ic8kCfI3yxNtOIyvJ1xu0m0/2NLyIVM/lvrX0Pnuk2k/6DuUpTwQ57xbe+N7SzwMhdzodftD8A9rNRdk/PUeqffsfUZ7yhJHq+b1PFqGUC39BpsrHuD+j3cyKM0Gqxz2+WPq5RaR67uyrpZ/3QkbKB8S/od3E4bl9R7uJr52IlB/n/cPSz+8gA+Qr1iK523ceMo+sqHGWfk4QKRlZP9Fuym3HyDbyjfHsHDlMVugEtJvRKEGkrFb5f1kkHz/Yg1TPrfxGuykfw0eqbe1/0G7icpxEymKukGjp/b1IZ/nFSWg3cbpXkeo5979oN3F4t5DqeYZki+THPUhm5yloN//DC9m1P67wP4tw1VzeICeAW8dUtJuyoJFq/7STg/LJNyL1czoO/Twn8r58bMzFQe3kBUGqfdCuDhohP9DNQT64vOOR8rJ5pnHofe5I5dzdoZ0jlXMPh3aOVM49HSQPbwXSVV5gLwfJj1uHlG/L7u2grVvwQpaQkHwchKt2cxeyvqwIvg69nxwpeZRK6yD1/DZSPX+SzqGdI5VzP4d2jpTVpZa/g2Q1uIl8KB8DDXCQvGz3kPJyNLY5+LkRh3Zud2jnyBwScKCD9svHVpHKeZBDO0cq58EO7RypnIc4tHOkch7q0M7DHNo5UjkPd2jnSOXccGjnSOXcdGjnSOXccmjnSOXc4dDOkcp5eod2jlTOMzi0c6RyntGhnSOV80wO7RypnGd2aOdI5TyLQztHKudZHfw8jUM7z+bQzpHKeXaHdo5UznM4tHOkcp7ToZ0jlfNcDu0cqZzndmjnSOU8j0M7RyrneR3aOVI5z+fQzvM7tHOkcl7AoZ0jlfOCDu0cqZwXcmjnSOW8sEM7RyrnRRzaOVI5L+rQzpHKeTGHdo5Uzos7tHOkcl7CoZ0jlfOSDu0cqZyXcmjnSOW8tEM7RyrnZRzaOVI5L+vQzpHKeTmHdo5UzoVDO0cq58TOiZ2XZ+fl2XkFdl6BnVdk55XYeSV2XpmdV2bnVdh5FXZelZ1XZefV2Hk1dl6dnVdn5zXYeQ12XpOd12Tntdh5LXYewc4j2Hltdl6bnUey80h2Xoed12Hnddl5XXZej53XY+f12Xl9dh7FzqPYeQN23oCdN2TnDdl5I3beiJ03ZudN2HkTdt6UnTdl583YeTN23pydN2fnLdh5C3bekp23ZOet2Hkrdt6anbdm523YeRt23padt2Xn7dh5O3benp23Z+fR7DyanXdw0P+krfpA</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="432">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0kErBGEcx/G5uUhegpexTua6t83JjdSWJMZGSivLWkRqykVOWxyUkoOS21zc3Ghz0gpXOVA4qef3/KeesQd338/l287zPPPMPDtRBOB/Go/V4bj3uL+ejfrxcu/57ck4qM0fmguvn9f8+KI61lCTHbW0q6ab6uC+/72n9h+qnSN1+0ztu1DLmVq9cc06t67xwINro/ni2m29al7t3TW9+nZNTr9c20+fWj/74Vo5eHOdeHzWuvq9OnKtbl2q08fqnX/uqOXPYTV833ghrJ2TnU+6oibLamUprM37dZ95v++M2p1S7fxtfzv/pKmWNvz8tfB5T9bDcdvf7l/8322/4v9u+2XV8DmL6+37su8n/+4K36ntY2x9/v511c7J5uf3AwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAf/EDZjly8A==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=174.088 Q3=131.000 sample=20 experiment=1 RT=3.98 ce=-30.00 name=Citrulline" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0D1qAkEYBmCPkEPkINMGLxBbu60CFoFUKlgJgniClClzggRvEGxsE/EAFhaWgh+zsKNTmup5mpf52dl3ptcDAIB7e0qdYWpSd75Yz+PJS+TzNPLhtbs/DSrfF+e0+wq1+ateZf/yv5X1ct/vMDLf67SIPH5GHr4vmf42Me7vL/m+i0yzbcyvvyJHH5GPq8ifeeRy3M30FpnfL/fKffL8YXS7d+5b9q/dq7aez217NLfPv3o/AAAAAAAAAAAAAAAAAAD+2xlo8kHZ</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=178.051 Q3=77.200 sample=20 experiment=1 RT=2.09 ce=-45.00 name=hippuric_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt23VAFE0YBnBKWoE7enfP7u52XjsRA7sDu7u7u7u7u7s7sPOzu0FQQZDvmZn3/vgePzjudmfnN7WzkcaHfaNr1xRrD0Zvn+HVUpw8V/mJY0sHsW37w1YDInuIWleLxnVI6iPOipH7bNcHiJL7Lg04sXKI8DJWtMx5dZRIePJgdN8q40T6cmd3OB2eKHxSk2/VKDJVFGvz4d+DDTPE7pcf5+/xnS1GPio7uPGm+eLb6i4vV4olonmXhdXf318hVrUfX3ST/xphCxQXnu5fJ6qf2Xrb1XeTOHZUvraKEVaJjpU67xRl3279ne/Qbv75XrE8YP3x0yEHxIal5zLs6nNI7Mz6ZuyK60dE3ozp47s1PC7u1pl1PvOzk8J37uYxdaufFjtSpmSavfaMqNOp25mYlLMi7nZEW//G58W8svld6uy5IIrhIGb6XhIPbHHlb3a4LKYv7GEbe+qKUMVjXBPH6y3IOKP/ddHq+MDT12/eEM7ztu1yD4oR9aovH5XtTIxY8296nSo9b4mfe0dk6GDeFpU69/wx/vJtMd/R+tT6AXdENq+dNfwK3BUHfqbcHfTxrihbN7VKjrX3xPXStW/Nbn5ftMy2vNnfoAfim/+Xt+1vPhD9e3xtFDj5oUjTpMyr4RUeiQUVp3Z7//eRyJbv8a86+x+LbVOfdHLq+USUHZDrZ+ccT8X11oOH33n5VLSsecmj7NL/xLeiIXM2RD0T/eeGujVM91ykGdFxxsmLz0XNIs2mzaMXYl2vst4P1r4Qg979GVrG46W4lelJ4oguL0UudYIvxdilKxNcC74ST+XlnfdKFA1sHzvp9yvhNSV9u29NX4u2F5xfFjjxWlR1HeSTJccbsXHwxZyl5rwR0w6Ujcqb/EZ8zjO9T8UOb0VMZ9flxWLeiv0b5BveiSDr8lux7p1IaiL8C6d7L5rGzMhXfdB7US6tPNP3InONoWPz1/ogUParKx/4IDql0LUSGT6KS31nfao95aPY3EIW1Efhn+51s8rdPomBJ1aG5//vk/ivR/NHobU/i0rpwxa5nPwstt681/BL/i8iYNScoPurvohBBSLvngz4Kp6/8EGN+Coqz75Ud+7Pr2Jb+fH+w9t/E/4r2zQa9fSb6JtcdsXYqO+iVd+MnWuc/y4yqdcP8eDrhfnT2/wQZfPcXfJu+Q/hknti8KMbP8SRx1NSon//EPd9FzwobsWK2HKrd3tVjBW9VEWI1fV/Wqz4W7xC2PHtsWJi7PZMB27EioGyon6JFR07zzMK+cSJxus9QnvljBPf8DUvK8WJKx+6N9naLk5s8K6Stf+YODE2jwMfHSda1f51zPNUnCjd68ak28/iRNOEwziCOFFMXm7zp7CV7NLHUfqn+Na0QrkPTX6Kq8PCvfcM+ikU2yU/xYuBuODHforwuo+NYS9/ivq5bpQb5h4vbna4975L7njhRZe9u9aJFzjavF37x4sTDc7db7IkXvzJdyixycl4UdBzm9n0TbzYXmnv+WpeCWLhLL8hxXIn6PYhIkF8/4ZXjwTxI9Zcd2RugijcuOXzfocS+DolCMXc7ZfYffLLijJ5fonPx316jGj4S2Q9lqvsqVG/hNmo2AT71l+igXzd+yVm1u+XZWHqLzHh28jun3L+Fqfkn0X9Fomf5B/+FoU/Pn28c9Nv0f39382xt3+LDW/DBxdO+S1evC5ZrX/2PyLsVeOQg3X/iIDh7Vt7D/sjzoRkq59m7R/Rd8/7yk5X/ogsEZtL/P3xR8iz/xWSqOuPSBTPshcp1qZTonCUnp9YZF4il3uieHWui/vVz4nivGwmg5NEXlnNyydxfUwSbc7eyR29OEm3ixeSuJ4liQVVDmfcm+GvUIcZ8VeU2L3kdNyQv2Jyh6mzbZv+ClyNNoXu/RW5b3UrWM8lWQyb0MK5T/5kXS+bJ4s2UfWyr5qcLPZ4Vfx98kCycD1Z+OLz18kiShaPf4p48x0FXipF9Ot6ck219inC7f20HF+npwj5MTsPpwivu/2P9n6bIm5uR0MY8E8ce/GuYwr9E18GvL5yodc/8WjztY2rV/3T1z/mn+hRZNRBckkVo6qdHG6VSBXAgyqZqj2uShXloGTg7VTxUVZTFyeaO64RarATLclbpcaqfE7U4qDRqFgVJ8pQPrbdtRZOJL+lbX8n2hi1bPifaU6U7WTjuKnrnaiKLMYTTpTp4dXLKx44kWzte/5wotlN0DB4OVO1JfV6/8roTE5P7tY/UcqZpJbHdZ1J1YfOzjQIrXHSaGfK2t9liedSZ7qTo3j74H3OpNqDG86kmu8PzqTaPScXcv/6Yc64EBdqC+1d87mQqS6cCz24tPRjzeYu9N0evrRAPxeSrZ3XdBcqYaFFXu9C25Oadz9/woWeHdpTcNlDF1LtY6wLvWmJhsLblWTxRmd2pV8RE0u7lXalww+a49BdCVe1QYEuriQ+e7S9MNqVtCdXQmWv+XWPK6lqf9WVfvd/sSzgrSsVOj128Jp/rpTuRIHFuULdqLq8cAXdKKv76PkVa7rR8deB1uVoN2pwetO62qPc6Cs43F3iRuOHxextst+NrKbtSz+/6UaTtowf+e+DGxVteaS6r0saqtD6bUwmIw1BMRreNBRT6eGP+BppaHd/1Mw2aUg5HZSGDpTKNqjAzDS0sOub6/Hr01BY7W0ddh1LQ0kjuhzrdyeNPp9PaehfxaSvn53cCbgr7gpxp5Mfe01snd+dlq3JfDi5qjsNaXb/06LW7tSw8VjvjEPcCX+Va/Ncd9rlioq53Z2mOaEDveBOqlt84U6q/ia5U2XZrAR60IYBi/v1yOtBMenR0lT2oKRLpwL/tPCgLH3uvikzwIOKfPGeNXS6B1XYUjrnhvUehMFF0etHPcivgRyBeJDqlz540Ijdb0Jq/vOgA63qZukT6Em1mu/7ujqXJ8ne6qrwpHftb051ivKkylX7JPp19iTVnY3wpHZNd8wuPteT2qgD96T1OYM6pj/hSR8y3FseeMeTro9flzPovac+vyRPUpctrRfl2dmz1NOMXqT6/WJeZAwuPHxyTS+6WLP45PKtvShoWo1Pbv28qP21FjUvTcT7oie1a7HMi9SwZKcXlZEd0Fkvks1TjftedCXt4jRfP3jRq8I44b9epPtNb1L9WgZvmhSPhqawN61C65qlijctWYxXE29a3JtKTOvpTU8xShg9zpsqy8u92JtmrfpT8N0Obxouu4Vz3nTpVcB3+2Nvanyl0Lnd37ypilONho1dfWhQgyGjnEN8aLrrmTbDcvsQas+TxHI+tPzL4IBR9XxIdTvRPrT9XkGcug+lWTunlPN0H2opO75VPiRHE8f2+RAKA7J9aFjI0+Rtz31odce9n/om+FAHjDYdvr6Uttbo54sz+9KefD3WOpfxpUYBzTp2jvKl5J9V0RT6UsVJ5QoVGO9LspuasNyXem7I3/vWAV+yXw/OnDXGl6q/2XR58Bdfkr31I4+0hFp5qmTmtHSnz/Rji8ulpW2/ZceVVvvon1bXj9lpqfTzyOkLd6SlCwenPCx1NS3JUd+992lJNT9p0tHTKrImpKNEv48Hd1ZMR6q/bJOOUGtGVhuZjprPPJOQY1k6GjHtcFevw+lo1eRdLz/eS0dnJmxsdCUuHcnR6BY/P+oom/fcfrQ/6O/Vb9X9KHpL66h6Hf1I9YPj/Eh2F2Fr/GhBpwOhOU/7kWpfX/jRk4r3zohUPxqHajXd358+5cTALKM/jXJe+Di6kD+9311/cWRFf5LFeK2+P6nxXDt/ujL4S9S7vv50qhla3rH+dFAOx+b663q11p/i5PBjjz/d9zs3zfWMP8nqWOSWP916OG713+f+hFpe7uw3f9LjCn+SzXw93wB6jWoSbgRQdnmiOQPo7+hFqGEBtBXNTKfKAZS7LUZ89QJIju6etwwgNS7oGkBq3DgwgO4sPNTpydgAWl0BF3RWAN0IQ4Euw+f8CBuQZlMA5ZAVcW8ANVy5dfvDkwE0dkC/6meuBtCuCIz8HwTQtXV9u558FUADIh3BXb4G0OhsKOnfAXTUBS2ws43GFUKL422jSLK3OWu3ETr/8/tMm24fstqojBzA57NRh99v2qwuZqPW3sk3TGGjqZgVZKtq0+1epI1256ZvRRvZdHvf0kZD5MC+g40G9DbSvuiOz1PjIhtdqIaGeaiNqksoo20kZwETJtoo464+nWZPt1F/NIsL59roz/uZDdcstlGtH61XbFpp0+3ZehuhkZl2eKuNNjWS8GykhpMHbTRy5vsM947bSPXvZ3Eccpx12aZ93rARJitnwu/atLtHNmrUDCOpZ/g5RuMN3thIttYnPuLnX/Ifzf7dRrL3nxVv0w4SbdRw+I4DbVPxc9d8+6+62UnNR7zs1A3NfdZ0dqqTHNr3gc3O/aSdSsgLZ9hp8YvTZeqmt9NVdONFM9spZVv6SWHZ7ZR/7o3tKbnsul3JZ9f1v5CdMAkbvqOYnWQzsrCUndA5ZB9azk6Hqzyr1aqCnYwoz1tVq9gpotTBX7lr2GkkZk3+te30Ii8+qa5du2pip1q2lmhK7fRJdi8d7TTp5q7c1AOfK1/97aSG2cPsNMe26fOAsXYqgNZh4hQc3y90qLPttLQBKtQiO+l5q53kr7est+vy3GEnUzYAR+z0EqeXesFOclaZ7Y6dusgDfc7H9wmfezS7n0+Cnd6g+32baqfL+Rckt/UKpFGZ5916YgskPf4OJNktXc8aSGo+mD+QJoV5jDtbIpDU/KZCICU4oeBrBtLWePyjQSCpaXLLQCqC0VzJToH06ch/h/b0DqQYOX0ZGkgTLked3jQuUNffGYEUt6tO1yULA2nzutpkXx1IrRbVCpq2JVD3m/sC6e+Gs9aY44Ekh5dJFwJJzvr6xgSSY8zxZV8eBepxyutAmtIZJ/glkMrLgdqvQJK1/25qIP3XNV+WCK8gmtsqT+J5WxBVlxMEM4jkbPVg1iDtJH8QdcsnR85BpOa/FYLIsyxKumYQqWFLgyCSw9JZLYMod+j8u16dguilnHb1DiL8dMTfIUEU8XNG/X7jgqhwOs+JsdOD6KOze/MuC4NoFWadr1cFUUP5gy1B5Ptf6uO7e4NI9o4Rx4No8Lm/4y5cCKL8ciATE0RBsqF/FKTr5esgGrqp6Z/334Moz5RKM5YkB/H5BJOeXweT/LrtmYJ5vBJMPa82texlgimDghZMajraIJhG9wp9nqttMKl5Xo9g2uvbe9vUocHUTk6sJgVToBxAzQumc7vRca0OJjXP3hGsx6FHg+k+Lt/Ri8G6P7sbTJ4/K6UYL4NJzUNjg0mPm0MI/x3jYQ8hNd/LHEJ6/SREu68eQpHyQrUMofFyeN0rhI5kedng4+gQ0vOrEB5Hh1CeaMx0DoYQJs8bvC+EUF45XbwVQnrehfePR0X6EEJdZMHHh3A9DqEWqqMLpQdr0YGEhFLdrksGLssUSpJHvnyhVEl1qKF0AizqVw4lOYp5WyeUdqMaDmweytc3lNY9P5FuWd9Qcmz8UC3fyFBaJJdPpoRSQDFZc0NJDgdfrA4lOXrqsz2UIqMh4nAoXcrTqerCc6FUIX726JwxoaTWd56EUtGxbxMi3oeSGh7GhVJOObH9F0prHrVd5+YdRubqac8WBIVRh/Klj2TJGEYvPKPjD+QJI7WeUCJM9zcVwyii1as13SPD6GI21KSmYURyYaRDGB3ZLweEYYTR2dQDw8N0eU8Oo+yyws0Lo1V33Et1XxVGn/ui594aRu3lgOFgGD1z8ZqS/mwYt8dhdGt2838VH4dRzSYTStx/G0bnM6ADiA3T5ZYYpvt3l3BSw1bvcN3/2sKpt2wQjXCS3cLIzOHUSw6Ucofr+UeRcFqBYppeJpzk9ONtpXBafrF2dLmIcH3eDcJp6ZArjb63CNftaIdwuoJmYl2PcKqeLzVjyoBwkqtADUaGU7WXQwJ3TAyni0cOTXefFU5V5v1yb7UonC50xwRvVTipdabN4RQvh1u7w0ktexwOp59JaEjO8HFf4eO+HU6rdjyZnvtJOGWQDdvrcFLLJp/DSc7yK/4Ip4hxaSN3xoeTr4STGE7XRmICmRJOU1Oif79xNnR/6m5QyQxoeb0N+rO85D+Hn0FyujjBbtCGU9+vxYYYJKtHE9MgtS6QwZC9+p3cWQ268+yFz9ycBs1BsSflNUgNywoZRHJ5sphBclhYp7hBcvh+B/kBw+iGJQzqLyeEyDty2a+kQXI69ARpQVHbUgYNDdxR9SVSLm+0L22QWm9DZpYD2TIGyW79K1KumvUqa9DV1ZUP/EQ2lh1LOYPHxwb1xduGCYOc5IsMUuuISAPDc/fyBm26ICcChp6XVTDobEKO5jORdeQbKxqEd2GiZxBmW3NDK6F86r9evxQ5/nPdQ47KBtnUwpjB432D8u5Z/n0jUs7yclc19PVG3hv0MVvBagbJs92H/LERX1zdoOFCfrNB6jRqGNopUs8vDZIfdwGp3lYL5XkNL6ScVkZGGKTXLwzd3tU2dPuIlMPh5pGGnn8it+BdbesY3F4Y2kVdg+odcuBUDJLD7x71DFLrNkg1v6xvkBwG/UbKyzEkyqA1KOYUpCy+0Q0MksXi1tCgGrKCIVW71cjQPpF6XdegkbIAkaoeNjF4XmRQdrWAZZAaDiDVvLiZQTd/o6CRalzf3CCUnuc2pGo/Wxjk1jBd3j1IeXWLtjQovbwgSFVdWhl6fIHU8zyDonDZziHV5WhjUE954ZDJsvjaGiSLJQYZIk+3ncHjd4PU4bU3SDXbyFry46INkm97jeygXgbFy2VkJK7a1G4dDUonKwJymVwO74TyLIKBN3LitTED+nU2qJJcPkbqdV6D1LJAV4O+oFqNRw6WJ9zNIHf1gYZe/+hu6PEsUl6OwB6GnjchL6P4wnsaJItlOVKeboZeBvVWQAz6h8PL1tsg+bWbkXKZLkcflCeG9VuRbr6H7ubri/Jcm+39bqRaZ+uH8rzt6nsIqZYx+xuklpmRUZjtlB+A8sQw9xyyh+w4BqI8W6ElRE7+7TU9YpBBwTMHrYxBrsPH1h+M8pQLLki17jIE5fm10MenyEeY7rQaivKUC0BIPY5EedbEG5BqOW+4odtZpOp/Rhh0YPPGYQnIiuXxTSMNPW9CqnnvKIPkMo/zaJTnypiH45DuxcVnjzEGyWHyFKQc5qYbi/KU9yOQ8rQDxxm6H0Q2xGGGj0d54uuXI9U68gSUp7x9gVTzlYkGhR5J3b8ZuaEuSmKSQWodFCmXlQpNNqi2fAPyyc4ctpJTDMKnZzmGTHiWpriYauj5FVItf00zaPl6fBAyt1yYmm4Qrs7cG0gcxfq6M9Bu4rLcRRbsl9q1/kyUp0+PEfeRNdc+ndVkFsqzlPwXyvP24f2tZqM8O2NGh1Tz1TkoT7mMgVxaAB8w19DzPaRal5mH8vx9slgCUo2/5ht6vIZU68MLDL0esdDQ8xKkWm9chPKUA3jkjr1FrqRdjPKUh4FU6xpLDD3/QKr561KUp7yBgFS3FZahPB/iwJGh6hcGyVHWZmThlRPG5FmB8sRR7URG3Gi3sdBKlGc0ThCp10FRnvN2PjuK1OvzKE85rUbK0WblNQbJuzOXkIemyC9CeWaqGnEDKYup7jr0Qzj9u0h5Wo3Wo3+UBYb0lAe0waD5+PgXSPln7TaiH8L/vkOq+z6bDL0+hFT3DzajHyqDXyBVv73FIFytyESkWsfZapBc3UxF4mQmjNmGfkh+wHaD5G8nISPlwvoO9EOzmsTMQHaRF2qnQeryINU4dBf6IVmcSFlMjt2GHm8i1bhqj0HqcJHyMHLtRT8kPx6pxjf7DFL/i/SWF36/QaglKBJDr+8dQD+k1rnRD8nbKQcNebVwpQ09vjuEfqgjLgBSVsfIw+iH1AegH5LD9yMGz+sMUveLjqIfUhfKIHl52hzDuEF+EfI5irPjcYO61ZdnbpC6r3AC7SZOKxYZKAvspEHyMH4j88sJ/yn0Q3L9HKnm/6cNXk9BuykLFqnuA501aIT8BdK3h/yXQYoBUk1HzqMfktUWWV6doEGqmiGbo/pkuoh2U1YLpLrNdwntprxQSLU+fhntpvwipCzOIld4XIXU61oGqdNCvpTL/dfQbsrDQMqPr3od7ab8M2SwqpgGSc4xN9j5TXZ+k53HsPMYdn6Lnd9i57fZ+W12foed32Hnd9n5XXZ+j53fY+f32fkDdv6AnT9k5w/Z+SN2/oidP2bnj9n5E3b+hJ0/ZedP2fl/7Pw/dv6MnT9j58/Z+XN2/oKdv2DnL9n5S3b+ip2/Yuev2flrdv6Gnb9h52/Z+Vt2/o6dv2Pn79n5e3b+gZ1/YOcf2flHdv6JnX9i55/Z+Wd2/oWdf2XnX9n5N3b+jZ1/Z+ff2fkPdv6Dncey81h2HsfO49j5T3b+k53Hs/N4dp7AzhPY+S92/oud/2bnv9n5H3b+h50nsvNEdp7EzpPY+V92/pedJ7PzZHaews5T2Pk/dv6Pnaey81R27mRq50jl3NnUzl1M7RypnLua2jlSOXcztXOkcp7G1M6Ryrm7qZ0jlXMPUztHKueepnaO1PfBTO0cqZx7mzx/MrVzH1M7RyrnvqZ2jlTO05raOVI5T2dq50jl3M/UzpHKub+pnSOV8wBTO0cq5zZTO0cq53ZTO0fq+yymdo5UzoNMXn8xtfNgk+8vmLzOaPL9Q1M7RyrnYSbJuzHTkIuPLpjlF25q50i9Hm1q50jl3DS1c6RybpnaOVI5d5jaOVI5T29q50i9z8DUzpHKeUZTO0cq55lM7RypnGc2tXOkcp7F1M6RynlWUztHKufZTO0cqZxnN7VzpN7HYWrnSLk83DWnqZ0jlfNcpnaO1PdlTO0cqZznMbXzvKZ2jlTVIp+pnSOV8/ymdo5UzguY2jlSFVNBUztHTpnxJi59IVM7R6r10cKmvp+H1OsVpnaOVNPxoijPvZ/67kcm1GgyoUQxUztHKufFTe0cqddrTO0cqZyXNLVzZCuPG2F1S5n6PidySLGt5RqVNrVzpHJextTOkTvnRU9qVxblKfdpIJXzcqZ2jlTOhamdI5VzYufEzsuz8wrsvAI7r8jOK7LzSuy8EjuvzM4rs/Mq7BwpD8eqatKRrl6Jq5Dq/mQ1k+SPNyLVfcbqKM/LZytsR6r7rDVMwrs77kWq+yk1TX3fAKn2T9RCecobAMhr3/CHESbJZajzyPfWxg/VaqM85Y0npLNcmIk0aSYu522kKb+gjkmb7TGVHiJlsTari/KssL3zM6RaV6ln0rPeqAHIbvJA6qM8cTifkPJrukeZeh0Uqe7rNTBJLj/9Qh4D1yENTb0ehcS7i4xqhPKUC46NUZ7xqBhIvc7Pzpuw86Yoz/pp1s5BymoU1AzlOebVxUVIdd+ouUnytscK5Mdq+IIWaDdfLAtYj1T3b1ui3URxbUWq9chWaDdxeruRJeWBtDb1+hdSfk2pNibJPz+OVPse2qLdvIoCRU5qhwNuh3ZT/gApb3NGtDcJtd8eg1TrotGmXv9DytusTTqg3ZR/iPyZ/nbPVh3Rbh6kMa+Q6SJRQzuh3cRl/9CJnXc29f1BZEUUf+8upr4/j1Trs11NvQ6JVLenu5n6fmt3tJs4nHHIDPgajx4myT+fgiwtL3hPky4tQoEiJVd7L7SbF/EDZC8Jq7ep75P0Zud90G7Kgu/Dzvuyc6Tad9PP1Ot7/dh5f3ben50PMElepqNIfwl1INpNuU8PKYur0iC0m/IdSHU/ejDaTRz2jcHsfAg7H8LOh5okf/wYqe6TD0O7KQ94GDsfzs6RV8Cm8whT3w9DvkU17zkS7aY8MaSslv1HmSSrWyJS3c8djXYT1SMVKS/7mDFoN+X+oLFoN+UXINXy+Di0mxICUu3TGG+SLIZ5SJssqAloN+U2jAnsfCI7n8jOJ7HzSex8MjufzM6nsPMp7HwqO5/Kzqex82nsfDo7n87OZ7DzGex8Jjufyc5nsfNZ7Hw2O5/Nzuew8znsfC47n8vO57Hzeex8Pjufz84XsPMF7HwhO1/Ezhex88XsfDE7X8LOl7Dzpex8KTtfxs6XsfPl7Hw5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw87XsPO17HwtO1/Hztex8/XsfD0738DON7Dzjex8IzvfxM43sfPN7HwzO9/Czrew863sfCs738bOt7Pz7ex8Bzvfwc53svOd7HwXO9/Fznez893sfA8738PO97Lzvex8Hzvfx873s/P97PwAOz/Azg+y84Ps/BA7P8TOD7Pzw+z8CDs/ws6PsvOj7PwYOz/Gzo+z8+Ps/AQ7P8HOT7Lzk+z8FDs/xc5Ps/PT7PwMOz/Lzs+y83Ps/Bw7P8/Oz7PzC+z8Aju/yM4vsvNL7PwSO7/Mzi+z8yvs/Ao7v8rOr7Lza+z8Gju/zs6vs/Mb7PwGO7/Jzm+y8xh2HsPOb7HzW+z8Nju/zc7vsPM77PwuO7/Lzu+x83vs/D47v8/OH7Dzh+z8ITt/xM4fsfPH7PwxO3/Czp+w86fs/Ck7/4+d/8fOn7Fz5He5DfQ5O3/Ozl+w8xfs/CU7f8nOX7HzV+z8NTt/zc7fsPM37PwtO3/Lzt+hPOWN+nfs/D07f8/OP5gkt12+QSY2DGjW8SM7/8jOP7HzT+z8s0lHa5U6+OszO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/wc5j2XksO49j53Hs/Cc7/8nO49l5PDtPYOcJ7PwXO//Fzn+b1F1uREKq/T9/TL2/4Q87T2TnyAIv6h2tlcTOk9j5X3b+l50ns/Nkdp5iktoGnsLO/7Hzf+w81aQK7ewTviFjknAATha1mPNjSzxS7Y9ytvR+UKTaN+9ikfq1q6WdI5VzN0s7RyrnaSxq8O5OnVlI5dzd0s6RyrmHRXI7wTKkcu5p0fq+uOLIQj6Pb2X1skhe/k1ItV/E2yL5051Ivb/b0vs+kGPktilfi/xkASHVfd20Fql990j89ZRK6SyqjK+7iLydVe6QtEhty0d+icKB+ls0RP4DKUu/YYCl98UiM+1dZbWwWfq+OVI+PdDObul9YUi1HyHQIrVtDtlHbhMMsij1wYYVcUj8z+7+wRaFyw9GblwRd29oiEVFJACk2m4baun792Eoz2S5EcgidZrhKE8c/gykOizDIvl185Ar5ceYlt6XgTycEQdqoTz1P0g9r+Gw9H4YpHKe3tL7BpFqn2gGi/Q+aouyyA3aGS29fxWp9tdksvQ+MaR6bCKzRfKynkeqfdFZLL3vCSmLt3ZWi0x1AS3ajOKIymZp58hzOPxm2S2qKx8jQar94Dks7RypnOe09D5kpF3+I5dFqy3USCS+ZV3f3JZ2jlT7FPNYdH8oTggpq/HIvBbFyuqZz6IRsmIjVXXKb+n9m0j93IhF8rLOQarLVdCiG7gMi5CqeAtZJIttBXKALI7CFsnTXIdUh1/EIoeEglT7jopa6mN2Iy/IXxezqL48UKRkW6q4pZ0j9T4/i/cxWRQkC7ykRWtR3S8jlfNSFqnHYpA1ZcUubdFDVKd7SHUfv4xFP3H5nyJHyQ8ua2nnyKXLJACLcsgKhpTF1lVY2jlSOSd2Tuy8PDsvz84rsPOKlt6XgNyOWulRyaJSCpRFlySzyuwcqVhUsaiXOiFL72erys6RqtpVY+fV2Hl1dl6dnddg5zXYeU12XpOd12Lntdh5BDuPYOe12Xltdh7JziPZeR12Xoed12Xnddl5PXZej53XZ+f12XkUO49i5w3YeQN23pCdN2Tnjdh5I3bemJ03YedN2HlTdt6UnTdj583YeXN23pydt2DnLdh5S3bekp23Yuet2Hlrdt6anbdh523YeVt23padt2Pn7dh5e3benp1Hs/Nodt6BnXdg5x3ZeUd23omdd2Lnndl5Z3behZ13Yedd2XlXdt6NnXdj593ZeQ923oOd92TnPdl5L3bei533Zue92Xkfdt6Hnfdl533ZeT923o+d92fn/dn5AHY+gJ0PZOcD2fkgdj6InQ9m54PZ+RB2PoSdD2XnQ9n5MHY+jJ0PZ+fD2fkIdj6CnY9k5yPZ+Sh2Poqdj2bno9n5GHY+lp2PZefj2Pk4dj6enY9n5xPY+QR2PpGdT2Tnk9j5JHY+mZ1PZudT2PkUdj6VnU9l59PY+TR2Pp2dT2fnM9j5DHY+k53PZOez2Pksdj6bnc9m53PY+Rx2Ppedz2Xn89j5PHY+n53PZ+cL2PkCdr6QnS9k54vY+WJ2vpidL2HnS9j5Una+lJ0vY+fL2Plydr6cna9g5yvY+Up2vpKdr2Lnq9j5ana+mp2vYedr2Pladr6Wna9j5+vY+Xp2vp6db2DnG9j5Rna+kZ1vYueb2Plmdr6ZnW9h51vY+VZ2vpWdb2Pn29j5dna+g53vYOc72flOdr6Lne9i57vZ+W52voed72Hne9n5Xna+z1LbGDfsY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnSPrVul5telxdn6cnZ9g5yfY+Ul2fpKdn2Lnp9j5aXZ+mp2fYedn2flZdn6OnZ9j5+fZOXJvw4tufhcsvb8TqZ7PuYjytOxlFiHVc2CX2Pkldn6ZnV9m51fY+RV2fpWdX2Xn19j5NXZ+nZ1fZ+c3LP38BFLt/76J8lyQ3PbyTXYew85j2Pktdn6Lnd9m58i08sGGOxbJx99e3mHnd9k5Uj2HcA/luSs3fUO2kA/K3Ud5PveMjkcOlK8HKE+/d5OTkHM2RC0b/tAi9Zz2I4ufH0B5dl91x/2xRSi9d5ORDZYN/+P7xNLPGyHV/uinaDfbXs6/ADklqXiFsP/QbsoPRKrnop5Z+rk1pNyOnPW5pZ93QD6eeHNX7hcoT/nFyPgD2+4VfInyrG182IeUh1f8lUXya48ic8kCfI3yxNtOIyvJ1xu0m0/2NLyIVM/lvrX0Pnuk2k/6DuUpTwQ57xbe+N7SzwMhdzodftD8A9rNRdk/PUeqffsfUZ7yhJHq+b1PFqGUC39BpsrHuD+j3cyKM0Gqxz2+WPq5RaR67uyrpZ/3QkbKB8S/od3E4bl9R7uJr52IlB/n/cPSz+8gA+Qr1iK523ceMo+sqHGWfk4QKRlZP9Fuym3HyDbyjfHsHDlMVugEtJvRKEGkrFb5f1kkHz/Yg1TPrfxGuykfw0eqbe1/0G7icpxEymKukGjp/b1IZ/nFSWg3cbpXkeo5979oN3F4t5DqeYZki+THPUhm5yloN//DC9m1P67wP4tw1VzeICeAW8dUtJuyoJFq/7STg/LJNyL1czoO/Twn8r58bMzFQe3kBUGqfdCuDhohP9DNQT64vOOR8rJ5pnHofe5I5dzdoZ0jlXMPh3aOVM49HSQPbwXSVV5gLwfJj1uHlG/L7u2grVvwQpaQkHwchKt2cxeyvqwIvg69nxwpeZRK6yD1/DZSPX+SzqGdI5VzP4d2jpTVpZa/g2Q1uIl8KB8DDXCQvGz3kPJyNLY5+LkRh3Zud2jnyBwScKCD9svHVpHKeZBDO0cq58EO7RypnIc4tHOkch7q0M7DHNo5UjkPd2jnSOXccGjnSOXcdGjnSOXccmjnSOXc4dDOkcp5eod2jlTOMzi0c6RyntGhnSOV80wO7RypnGd2aOdI5TyLQztHKudZHfw8jUM7z+bQzpHKeXaHdo5UznM4tHOkcp7ToZ0jlfNcDu0cqZzndmjnSOU8j0M7RyrneR3aOVI5z+fQzvM7tHOkcl7AoZ0jlfOCDu0cqZwXcmjnSOW8sEM7RyrnRRzaOVI5L+rQzpHKeTGHdo5Uzos7tHOkcl7CoZ0jlfOSDu0cqZyXcmjnSOW8tEM7RyrnZRzaOVI5L+vQzpHKeTmHdo5UzoVDO0cq58TOiZ2XZ+fl2XkFdl6BnVdk55XYeSV2XpmdV2bnVdh5FXZelZ1XZefV2Hk1dl6dnVdn5zXYeQ12XpOd12Tntdh5LXYewc4j2Hltdl6bnUey80h2Xoed12Hnddl5XXZej53XY+f12Xl9dh7FzqPYeQN23oCdN2TnDdl5I3beiJ03ZudN2HkTdt6UnTdl583YeTN23pydN2fnLdh5C3bekp23ZOet2Hkrdt6anbdm523YeRt23padt2Xn7dh5O3benp23Z+fR7DyanXdw0P+krfpA</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>eJzt0SEOwkAQBdCehzMgNsEiEAgkAskBkDgUB8ARElAkcASOwhE4AmK2JN2yKUG/Z352utNOpk0DQNV2liJT6tZTt17eO67yeRn5XHf7P8+LvvZ+b47K92tzlnOV9wb7cj4WOTc5d5HTQ+ToHDm+Ra7ukZOcl2vk/BT52ke2+2jfX9tjbb5WtT9nb8/L7rlUrafv9SGD/6Oy93KeX+f6d04AAAAAAAAAAAAAAAAAAAAovAGR3UbH</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=178.072 Q3=58.800 sample=20 experiment=1 RT=4.11 ce=-45.00 name=mannosamine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0jEKwCAMBVCP5tAjdO5ZPHqnFBpoo9Cl8N4iiIl+tTUAAPiZsfXbWM2v1oe+v/dZFf2j7zjW+s/mfco/ey85d96nWpddeaM+5a7On/er3mX2H1T1X78/AAAAAAAAAAAAAAAAAMCPnLKhIkE=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=179.056 Q3=59.000 sample=20 experiment=1 RT=3.40 ce=-30.00 name=galactose__" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="492">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0c0r7FEcx/Ep8pQyHrOwsLllKWU/NmJhexMWlGLhisjCQkYWUyRuV3c85HmYhSQpKQuUkoiELCyUjaVkQ5H6fs5RP3/BvfV+bd6d75zO70wnFAIAAPgHhfsj1uZutbRNvR0Kzr/aEtwX+uXm0UjgvJo/6kJMLf+rViyro2vq27q6uq12bgTnfn/Nilo2r8Zm3Hw42K4xNXVSvXf7S36ryfHgffw+f1//3bpNd88dtfLAOpg4cvc817r+zBrJu7TuT19rHX3QvvZn68XDh/W4PqXK5uE062Y0wzqem2WN12Zb2xvC1tn3XM0T+dbetTzrQk6Rfn8ttCar1fVDzeNDxdaVH1o/Zeqc5M90a7jnRfccuNP/eD/RfRt31Zst9XI12LRFdS+hnk6r/Utqwbe1r3/vPnfOo1vvu/M65tSmKfXKvVdsRI3Mqv6dWidU/65+DQAAAAAAAAAAAAAAAAAAAAAAAAAAAPxnPgF2Tnq+</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=179.056 Q3=87.000 sample=20 experiment=1 RT=3.83 ce=-30.00 name=inositol" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="252">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0KGKAlEUBuAJ4hMYrL7J5E2bTYLNJBgEk6yI3Sib9RWM0+1bfBlh7h7hXlhRUITl+8rPPXPPzJlTVQAA/HvLj7rNelLfPE+nv/Vhys9FymaWP682KUfroj7P70d//yvPuBdZ1o+rvD/mvOYwn/te0Vf2/1Vvxvn7y3O5r5jveq/YR2+bcrdvczlo0vn7p826Oad695TqnUPK2ENkzPfo/z/bu78PAAAAAAAAAAAAAAAAAMDLXACl6Tnv</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=180.067 Q3=93.100 sample=20 experiment=1 RT=3.28 ce=-45.00 name=tyrosine_" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0KFqQlEYwPH7CHsEH+WmpRWLWFeWDBNBsN1oEePqYM1iMSy6JgyGwTLWfAgxCvfjG9wLuiYMf7/y55xzD/ecUxQAANf0WNap7suLn617l9f/m7xP3jvH7fl8n+zrOHo3jb7PovtF3Wr5Ef35rLvefNctD9HqYRftbmJfbxX9eov2X6LPk+Z/c1wOmufLcTbPl/fI+e2oOS6GrX1PzX2/925pv0ueqzOPHqtovs/Zdz3jr3UAAAAAAAAAAAAAAAAAALhRJ3mnPds=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=188.056 Q3=58.000 sample=20 experiment=1 RT=4.11 ce=-45.00 name=N-acetyl-L-glutamic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="84">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0KERACAMALGOVsEIDNTRqxDISo5Ev/oIAAD4TO4c9bVmPbfzz0cAAAAAAAAAAAAAAAAAgGc0BhQD4Q==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=188.071 Q3=144.081 sample=20 experiment=1 RT=1.31 ce=-15.00 name=3-Indolepropionic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0i9IA1EcwPETbIoaDIYFMS2a1HiCoNlgviIsiJygeOjAqYg6Ff+C/8ZYkmG6oGBzqGFgEUEQi2saFBa1ie/3+4UTo0X4fsqXe+/27t29eR7wz3TM+67BrDRakN5N+In59i1pbld6HbtW4nvXUuHNNbpq6P9uuafJ1au2uD5mW139YRmPBxtdw9Sn+11QfJd1e1+kY8+u/uqDXKdvpV2X0o1z6dOptO1E91uUhtqBfWlzQfpxIC3ouHckHdLxkrZ8mLyu6/1nx9LuPZ1fkV6sSytZaSan85E+Z0aam0xe16Z0fE5q59A5LrXz6FuSvmrjvPRGzyVY0/t3kvO2Pzu3qp5nelH3kU/+3vZhz7H3sfut9r+w97T7/Onfx23/tr69v72v9ed3sO9l3yMMpbVRXWck2SDQef2upUxyP7a+fZ/6sjTalKa2dT0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIC/8wWmt34Y</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=191.020 Q3=191.020 sample=20 experiment=1 RT=5.43 ce=-30.00 name=citric_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="348">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0rFxwlAQhGGFhC7BISGhQ5Xg0CGhQ8GAjRFglBFSAiVQgkqgBJWgEjzjt8vMXU7E/yU7At7dvRNVBQAAAADAkzju6/88HUteU06V50PJz67kuKlVoOSH8q2LefkpWf/qWeeanfpsS76s1UfnZt86d4jnRj+rXtOWnG9jv5vqD6pTuU8b53P9vo3fex/u53t6X02qP+zjPfs0V9/FZ8/nOt6f9+H7nxexfr+Kdd69X+8n7df7qdL79P4mmmvQ596H836/tI9L6uv6ntN7cr/R/4elcpPmSXN7P96nfzdTXb8nn7t9lXzVOQAAAAAAAAAAAAAAAAAAAAAAAAB4gD/7mG4/</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=193.035 Q3=58.900 sample=20 experiment=1 RT=4.08 ce=-45.00 name=glucuronic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0DEKwzAMBdAcoUfylLlLoWOWTF0KvUCPlqN1MA74gzFk6vDeIgvLktGyAADAnzsepR7WGretxmMvXd39XfPyKv276HO+W6Mu8qxveevf5mW8ffr8+e3z/H/Ov6y9jz65p3Z/7invs98oH80d7HX2z+nc2X5yLgAAAAAAAAAAAAAAAAAAV/0A9igsPw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=199.170 Q3=199.170 sample=20 experiment=1 RT=0.59 ce=-10.00 name=C12:0_lauric_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0CtOQ1EUQNFbBkCQCMSTyErkQ+Ag6RAK6QBQ1XQGWBoEAk9FRUUFI8DhSWoIgdC0IST803PeBFAg1jJb3N/JLQX+h+rwo161O3iOlpt5tP25jJ4+vEY3jt6iF8dld9Wdk7Xo5ll2st6Kbg+z1UHuGw2+41xnlh3NvvLey+bdrfe8dy/fqW+b7r9Er4eL7CLn6/Yec87pU/RunC3nTfu5Xl3d17//DQAAAAAAAAAAAAAAAAAAAAD4Oz/GFTXv</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=203.083 Q3=116.100 sample=20 experiment=1 RT=2.67 ce=-45.00 name=tryptophan" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="344">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0bFKw0AcgPEjdOjgMxT6BIUMtXS6CqVP0FG5xcVJXF0yWOjUyal7l0JUHMRFqXQpTj5Cxk4O+gLi/y4HuRy0a+D7LR+Xy+WSi1IAADSMnmppNtaV635s4vO1dSa+vryvrHfkc8OW8+Yy/vxD68L39Nevg/dz49eF7cuDNDOf0s33XrqbtEb/vU860jvVk/aHqXR9a8dneVc6eDyRqo9fWV8khVT/fNl9zre2p++2/Tfb9Nl9d257sbJtL13nbn7m6s7n6aZa/53BOdQcmg/UzjnYJ/wf4f/z+5nq/OYqvg4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAGuQPqNBMow==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=207.078 Q3=144.000 sample=20 experiment=1 RT=2.60 ce=-30.00 name=kynurenine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0qGKAkEcwOF9kPMBbD7CFuEwWewW24EgWCweiCBct1gE8Q2MFy7fMxhMlw2CFy4czMwKLq4IGgzfV37Mf4ZhGTbLAODJvDfzh95T7q3nq+Sd6/v3Ku7/ncS2VrEvn6F5fRvaeDuEtjd/oV/HY2i39hPPz75jl5t0zzp2v0j9SPvz2Ndpmo/TfJQ6uLxuD2N3/fzsu4t11i3t987PnVqaF+9f9c6P+j8AAAAAAAAAAAAAAAAAAACo9A8SmDWj</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=209.030 Q3=85.000 sample=20 experiment=1 RT=5.42 ce=-15.00 name=galactaric_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0S0SAjEMgNE9BidYvwa1Agzn4ugIqPlmMoPA8Z7pNGmT/mwbAAAA/Iv99h4vn/HIvFZ8T77zxq9D3SPz9un6xqdz9D77MH5bZ9rX9+o91/oz8aX7W396t+brnvzqP/1H6033nf6lum86V/LPR/LT+7TPmTgAAAAAAAAAAAAAAADA770AaxUb7w==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=212.002 Q3=79.900 sample=20 experiment=1 RT=1.12 ce=-45.00 name=3-indoxyl_sulfate" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="508">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=218.103 Q3=88.000 sample=20 experiment=1 RT=2.85 ce=-15.00 name=pantothenic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztzzEOAVEQBuC9gDtto0FLdNROsVG6hHUGiZpKKxRqvUK1tWRnI9m1EgUSyfc1f+bNy5t5SQIA8ANZN22t83k9b8vI/jqycyxzuzuVmY0PUV/jPBmdo75U/ck+znubyGJVf/cxbxE5qPr5rL7fk2n002H7veb/Pq0599Ue7/r2vgAAAAAAAAAAAAAAAAAAwF+7A3h0JY4=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=219.078 Q3=144.000 sample=20 experiment=1 RT=3.37 ce=-30.00 name=5-hydroxy-L-tryptophan" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="160">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0bsRgCAQBUBLsCQySiC2Cts3kYAbb/yMjsluwvA74DFNAAB/qmXstzKOtzBfy3G7K0tYH/e1se3r5zU5L94nq3dVrPOWJI8uzeVu/e7s3SHn9N3ZvbP+R/k9zuer/wQAAAAAAAAAAAAAAAAAgH9txEwUNw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=220.083 Q3=59.200 sample=20 experiment=1 RT=2.81 ce=-45.00 name=N-acetylglucosamine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0D1qAkEUAGCPlCNskyOktrJJEwgEQRDUlAlkm4CF4FU8ypYew2LeE2Zx3dX6+5rHm/czszubAQC11+Z+PrVvaG6g3rxNvGfq/rG9A32neYntZ4ndT4m/h8iPJTb/kf+VeP6u50ffHbF/b+rvefj/jMh9m/fYv6jz7qPE63+IvFtG//Z2nv2Z73f1/Ms66l91vV3V9dyT5/335Hl+R55f56MOAAAAAAAAAAAAAAAAAADwhAuH8j4c</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=227.202 Q3=227.202 sample=20 experiment=1 RT=0.57 ce=-10.00 name=C14:0_myristic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt23VAFE0YBnBKWoE7enfP7u52XjsRA7sDu7u7u7u7u7s7sPOzu0FQQZDvmZn3/vgePzjudmfnN7WzkcaHfaNr1xRrD0Zvn+HVUpw8V/mJY0sHsW37w1YDInuIWleLxnVI6iPOipH7bNcHiJL7Lg04sXKI8DJWtMx5dZRIePJgdN8q40T6cmd3OB2eKHxSk2/VKDJVFGvz4d+DDTPE7pcf5+/xnS1GPio7uPGm+eLb6i4vV4olonmXhdXf318hVrUfX3ST/xphCxQXnu5fJ6qf2Xrb1XeTOHZUvraKEVaJjpU67xRl3279ne/Qbv75XrE8YP3x0yEHxIal5zLs6nNI7Mz6ZuyK60dE3ozp47s1PC7u1pl1PvOzk8J37uYxdaufFjtSpmSavfaMqNOp25mYlLMi7nZEW//G58W8svld6uy5IIrhIGb6XhIPbHHlb3a4LKYv7GEbe+qKUMVjXBPH6y3IOKP/ddHq+MDT12/eEM7ztu1yD4oR9aovH5XtTIxY8296nSo9b4mfe0dk6GDeFpU69/wx/vJtMd/R+tT6AXdENq+dNfwK3BUHfqbcHfTxrihbN7VKjrX3xPXStW/Nbn5ftMy2vNnfoAfim/+Xt+1vPhD9e3xtFDj5oUjTpMyr4RUeiQUVp3Z7//eRyJbv8a86+x+LbVOfdHLq+USUHZDrZ+ccT8X11oOH33n5VLSsecmj7NL/xLeiIXM2RD0T/eeGujVM91ykGdFxxsmLz0XNIs2mzaMXYl2vst4P1r4Qg979GVrG46W4lelJ4oguL0UudYIvxdilKxNcC74ST+XlnfdKFA1sHzvp9yvhNSV9u29NX4u2F5xfFjjxWlR1HeSTJccbsXHwxZyl5rwR0w6Ujcqb/EZ8zjO9T8UOb0VMZ9flxWLeiv0b5BveiSDr8lux7p1IaiL8C6d7L5rGzMhXfdB7US6tPNP3InONoWPz1/ogUParKx/4IDql0LUSGT6KS31nfao95aPY3EIW1Efhn+51s8rdPomBJ1aG5//vk/ivR/NHobU/i0rpwxa5nPwstt681/BL/i8iYNScoPurvohBBSLvngz4Kp6/8EGN+Coqz75Ud+7Pr2Jb+fH+w9t/E/4r2zQa9fSb6JtcdsXYqO+iVd+MnWuc/y4yqdcP8eDrhfnT2/wQZfPcXfJu+Q/hknti8KMbP8SRx1NSon//EPd9FzwobsWK2HKrd3tVjBW9VEWI1fV/Wqz4W7xC2PHtsWJi7PZMB27EioGyon6JFR07zzMK+cSJxus9QnvljBPf8DUvK8WJKx+6N9naLk5s8K6Stf+YODE2jwMfHSda1f51zPNUnCjd68ak28/iRNOEwziCOFFMXm7zp7CV7NLHUfqn+Na0QrkPTX6Kq8PCvfcM+ikU2yU/xYuBuODHforwuo+NYS9/ivq5bpQb5h4vbna4975L7njhRZe9u9aJFzjavF37x4sTDc7db7IkXvzJdyixycl4UdBzm9n0TbzYXmnv+WpeCWLhLL8hxXIn6PYhIkF8/4ZXjwTxI9Zcd2RugijcuOXzfocS+DolCMXc7ZfYffLLijJ5fonPx316jGj4S2Q9lqvsqVG/hNmo2AT71l+igXzd+yVm1u+XZWHqLzHh28jun3L+Fqfkn0X9Fomf5B/+FoU/Pn28c9Nv0f39382xt3+LDW/DBxdO+S1evC5ZrX/2PyLsVeOQg3X/iIDh7Vt7D/sjzoRkq59m7R/Rd8/7yk5X/ogsEZtL/P3xR8iz/xWSqOuPSBTPshcp1qZTonCUnp9YZF4il3uieHWui/vVz4nivGwmg5NEXlnNyydxfUwSbc7eyR29OEm3ixeSuJ4liQVVDmfcm+GvUIcZ8VeU2L3kdNyQv2Jyh6mzbZv+ClyNNoXu/RW5b3UrWM8lWQyb0MK5T/5kXS+bJ4s2UfWyr5qcLPZ4Vfx98kCycD1Z+OLz18kiShaPf4p48x0FXipF9Ot6ck219inC7f20HF+npwj5MTsPpwivu/2P9n6bIm5uR0MY8E8ce/GuYwr9E18GvL5yodc/8WjztY2rV/3T1z/mn+hRZNRBckkVo6qdHG6VSBXAgyqZqj2uShXloGTg7VTxUVZTFyeaO64RarATLclbpcaqfE7U4qDRqFgVJ8pQPrbdtRZOJL+lbX8n2hi1bPifaU6U7WTjuKnrnaiKLMYTTpTp4dXLKx44kWzte/5wotlN0DB4OVO1JfV6/8roTE5P7tY/UcqZpJbHdZ1J1YfOzjQIrXHSaGfK2t9liedSZ7qTo3j74H3OpNqDG86kmu8PzqTaPScXcv/6Yc64EBdqC+1d87mQqS6cCz24tPRjzeYu9N0evrRAPxeSrZ3XdBcqYaFFXu9C25Oadz9/woWeHdpTcNlDF1LtY6wLvWmJhsLblWTxRmd2pV8RE0u7lXalww+a49BdCVe1QYEuriQ+e7S9MNqVtCdXQmWv+XWPK6lqf9WVfvd/sSzgrSsVOj128Jp/rpTuRIHFuULdqLq8cAXdKKv76PkVa7rR8deB1uVoN2pwetO62qPc6Cs43F3iRuOHxextst+NrKbtSz+/6UaTtowf+e+DGxVteaS6r0saqtD6bUwmIw1BMRreNBRT6eGP+BppaHd/1Mw2aUg5HZSGDpTKNqjAzDS0sOub6/Hr01BY7W0ddh1LQ0kjuhzrdyeNPp9PaehfxaSvn53cCbgr7gpxp5Mfe01snd+dlq3JfDi5qjsNaXb/06LW7tSw8VjvjEPcCX+Va/Ncd9rlioq53Z2mOaEDveBOqlt84U6q/ia5U2XZrAR60IYBi/v1yOtBMenR0lT2oKRLpwL/tPCgLH3uvikzwIOKfPGeNXS6B1XYUjrnhvUehMFF0etHPcivgRyBeJDqlz540Ijdb0Jq/vOgA63qZukT6Em1mu/7ujqXJ8ne6qrwpHftb051ivKkylX7JPp19iTVnY3wpHZNd8wuPteT2qgD96T1OYM6pj/hSR8y3FseeMeTro9flzPovac+vyRPUpctrRfl2dmz1NOMXqT6/WJeZAwuPHxyTS+6WLP45PKtvShoWo1Pbv28qP21FjUvTcT7oie1a7HMi9SwZKcXlZEd0Fkvks1TjftedCXt4jRfP3jRq8I44b9epPtNb1L9WgZvmhSPhqawN61C65qlijctWYxXE29a3JtKTOvpTU8xShg9zpsqy8u92JtmrfpT8N0Obxouu4Vz3nTpVcB3+2Nvanyl0Lnd37ypilONho1dfWhQgyGjnEN8aLrrmTbDcvsQas+TxHI+tPzL4IBR9XxIdTvRPrT9XkGcug+lWTunlPN0H2opO75VPiRHE8f2+RAKA7J9aFjI0+Rtz31odce9n/om+FAHjDYdvr6Uttbo54sz+9KefD3WOpfxpUYBzTp2jvKl5J9V0RT6UsVJ5QoVGO9LspuasNyXem7I3/vWAV+yXw/OnDXGl6q/2XR58Bdfkr31I4+0hFp5qmTmtHSnz/Rji8ulpW2/ZceVVvvon1bXj9lpqfTzyOkLd6SlCwenPCx1NS3JUd+992lJNT9p0tHTKrImpKNEv48Hd1ZMR6q/bJOOUGtGVhuZjprPPJOQY1k6GjHtcFevw+lo1eRdLz/eS0dnJmxsdCUuHcnR6BY/P+oom/fcfrQ/6O/Vb9X9KHpL66h6Hf1I9YPj/Eh2F2Fr/GhBpwOhOU/7kWpfX/jRk4r3zohUPxqHajXd358+5cTALKM/jXJe+Di6kD+9311/cWRFf5LFeK2+P6nxXDt/ujL4S9S7vv50qhla3rH+dFAOx+b663q11p/i5PBjjz/d9zs3zfWMP8nqWOSWP916OG713+f+hFpe7uw3f9LjCn+SzXw93wB6jWoSbgRQdnmiOQPo7+hFqGEBtBXNTKfKAZS7LUZ89QJIju6etwwgNS7oGkBq3DgwgO4sPNTpydgAWl0BF3RWAN0IQ4Euw+f8CBuQZlMA5ZAVcW8ANVy5dfvDkwE0dkC/6meuBtCuCIz8HwTQtXV9u558FUADIh3BXb4G0OhsKOnfAXTUBS2ws43GFUKL422jSLK3OWu3ETr/8/tMm24fstqojBzA57NRh99v2qwuZqPW3sk3TGGjqZgVZKtq0+1epI1256ZvRRvZdHvf0kZD5MC+g40G9DbSvuiOz1PjIhtdqIaGeaiNqksoo20kZwETJtoo464+nWZPt1F/NIsL59roz/uZDdcstlGtH61XbFpp0+3ZehuhkZl2eKuNNjWS8GykhpMHbTRy5vsM947bSPXvZ3Eccpx12aZ93rARJitnwu/atLtHNmrUDCOpZ/g5RuMN3thIttYnPuLnX/Ifzf7dRrL3nxVv0w4SbdRw+I4DbVPxc9d8+6+62UnNR7zs1A3NfdZ0dqqTHNr3gc3O/aSdSsgLZ9hp8YvTZeqmt9NVdONFM9spZVv6SWHZ7ZR/7o3tKbnsul3JZ9f1v5CdMAkbvqOYnWQzsrCUndA5ZB9azk6Hqzyr1aqCnYwoz1tVq9gpotTBX7lr2GkkZk3+te30Ii8+qa5du2pip1q2lmhK7fRJdi8d7TTp5q7c1AOfK1/97aSG2cPsNMe26fOAsXYqgNZh4hQc3y90qLPttLQBKtQiO+l5q53kr7est+vy3GEnUzYAR+z0EqeXesFOclaZ7Y6dusgDfc7H9wmfezS7n0+Cnd6g+32baqfL+Rckt/UKpFGZ5916YgskPf4OJNktXc8aSGo+mD+QJoV5jDtbIpDU/KZCICU4oeBrBtLWePyjQSCpaXLLQCqC0VzJToH06ch/h/b0DqQYOX0ZGkgTLked3jQuUNffGYEUt6tO1yULA2nzutpkXx1IrRbVCpq2JVD3m/sC6e+Gs9aY44Ekh5dJFwJJzvr6xgSSY8zxZV8eBepxyutAmtIZJ/glkMrLgdqvQJK1/25qIP3XNV+WCK8gmtsqT+J5WxBVlxMEM4jkbPVg1iDtJH8QdcsnR85BpOa/FYLIsyxKumYQqWFLgyCSw9JZLYMod+j8u16dguilnHb1DiL8dMTfIUEU8XNG/X7jgqhwOs+JsdOD6KOze/MuC4NoFWadr1cFUUP5gy1B5Ptf6uO7e4NI9o4Rx4No8Lm/4y5cCKL8ciATE0RBsqF/FKTr5esgGrqp6Z/334Moz5RKM5YkB/H5BJOeXweT/LrtmYJ5vBJMPa82texlgimDghZMajraIJhG9wp9nqttMKl5Xo9g2uvbe9vUocHUTk6sJgVToBxAzQumc7vRca0OJjXP3hGsx6FHg+k+Lt/Ri8G6P7sbTJ4/K6UYL4NJzUNjg0mPm0MI/x3jYQ8hNd/LHEJ6/SREu68eQpHyQrUMofFyeN0rhI5kedng4+gQ0vOrEB5Hh1CeaMx0DoYQJs8bvC+EUF45XbwVQnrehfePR0X6EEJdZMHHh3A9DqEWqqMLpQdr0YGEhFLdrksGLssUSpJHvnyhVEl1qKF0AizqVw4lOYp5WyeUdqMaDmweytc3lNY9P5FuWd9Qcmz8UC3fyFBaJJdPpoRSQDFZc0NJDgdfrA4lOXrqsz2UIqMh4nAoXcrTqerCc6FUIX726JwxoaTWd56EUtGxbxMi3oeSGh7GhVJOObH9F0prHrVd5+YdRubqac8WBIVRh/Klj2TJGEYvPKPjD+QJI7WeUCJM9zcVwyii1as13SPD6GI21KSmYURyYaRDGB3ZLweEYYTR2dQDw8N0eU8Oo+yyws0Lo1V33Et1XxVGn/ui594aRu3lgOFgGD1z8ZqS/mwYt8dhdGt2838VH4dRzSYTStx/G0bnM6ADiA3T5ZYYpvt3l3BSw1bvcN3/2sKpt2wQjXCS3cLIzOHUSw6Ucofr+UeRcFqBYppeJpzk9ONtpXBafrF2dLmIcH3eDcJp6ZArjb63CNftaIdwuoJmYl2PcKqeLzVjyoBwkqtADUaGU7WXQwJ3TAyni0cOTXefFU5V5v1yb7UonC50xwRvVTipdabN4RQvh1u7w0ktexwOp59JaEjO8HFf4eO+HU6rdjyZnvtJOGWQDdvrcFLLJp/DSc7yK/4Ip4hxaSN3xoeTr4STGE7XRmICmRJOU1Oif79xNnR/6m5QyQxoeb0N+rO85D+Hn0FyujjBbtCGU9+vxYYYJKtHE9MgtS6QwZC9+p3cWQ268+yFz9ycBs1BsSflNUgNywoZRHJ5sphBclhYp7hBcvh+B/kBw+iGJQzqLyeEyDty2a+kQXI69ARpQVHbUgYNDdxR9SVSLm+0L22QWm9DZpYD2TIGyW79K1KumvUqa9DV1ZUP/EQ2lh1LOYPHxwb1xduGCYOc5IsMUuuISAPDc/fyBm26ICcChp6XVTDobEKO5jORdeQbKxqEd2GiZxBmW3NDK6F86r9evxQ5/nPdQ47KBtnUwpjB432D8u5Z/n0jUs7yclc19PVG3hv0MVvBagbJs92H/LERX1zdoOFCfrNB6jRqGNopUs8vDZIfdwGp3lYL5XkNL6ScVkZGGKTXLwzd3tU2dPuIlMPh5pGGnn8it+BdbesY3F4Y2kVdg+odcuBUDJLD7x71DFLrNkg1v6xvkBwG/UbKyzEkyqA1KOYUpCy+0Q0MksXi1tCgGrKCIVW71cjQPpF6XdegkbIAkaoeNjF4XmRQdrWAZZAaDiDVvLiZQTd/o6CRalzf3CCUnuc2pGo/Wxjk1jBd3j1IeXWLtjQovbwgSFVdWhl6fIHU8zyDonDZziHV5WhjUE954ZDJsvjaGiSLJQYZIk+3ncHjd4PU4bU3SDXbyFry46INkm97jeygXgbFy2VkJK7a1G4dDUonKwJymVwO74TyLIKBN3LitTED+nU2qJJcPkbqdV6D1LJAV4O+oFqNRw6WJ9zNIHf1gYZe/+hu6PEsUl6OwB6GnjchL6P4wnsaJItlOVKeboZeBvVWQAz6h8PL1tsg+bWbkXKZLkcflCeG9VuRbr6H7ubri/Jcm+39bqRaZ+uH8rzt6nsIqZYx+xuklpmRUZjtlB+A8sQw9xyyh+w4BqI8W6ElRE7+7TU9YpBBwTMHrYxBrsPH1h+M8pQLLki17jIE5fm10MenyEeY7rQaivKUC0BIPY5EedbEG5BqOW+4odtZpOp/Rhh0YPPGYQnIiuXxTSMNPW9CqnnvKIPkMo/zaJTnypiH45DuxcVnjzEGyWHyFKQc5qYbi/KU9yOQ8rQDxxm6H0Q2xGGGj0d54uuXI9U68gSUp7x9gVTzlYkGhR5J3b8ZuaEuSmKSQWodFCmXlQpNNqi2fAPyyc4ctpJTDMKnZzmGTHiWpriYauj5FVItf00zaPl6fBAyt1yYmm4Qrs7cG0gcxfq6M9Bu4rLcRRbsl9q1/kyUp0+PEfeRNdc+ndVkFsqzlPwXyvP24f2tZqM8O2NGh1Tz1TkoT7mMgVxaAB8w19DzPaRal5mH8vx9slgCUo2/5ht6vIZU68MLDL0esdDQ8xKkWm9chPKUA3jkjr1FrqRdjPKUh4FU6xpLDD3/QKr561KUp7yBgFS3FZahPB/iwJGh6hcGyVHWZmThlRPG5FmB8sRR7URG3Gi3sdBKlGc0ThCp10FRnvN2PjuK1OvzKE85rUbK0WblNQbJuzOXkIemyC9CeWaqGnEDKYup7jr0Qzj9u0h5Wo3Wo3+UBYb0lAe0waD5+PgXSPln7TaiH8L/vkOq+z6bDL0+hFT3DzajHyqDXyBVv73FIFytyESkWsfZapBc3UxF4mQmjNmGfkh+wHaD5G8nISPlwvoO9EOzmsTMQHaRF2qnQeryINU4dBf6IVmcSFlMjt2GHm8i1bhqj0HqcJHyMHLtRT8kPx6pxjf7DFL/i/SWF36/QaglKBJDr+8dQD+k1rnRD8nbKQcNebVwpQ09vjuEfqgjLgBSVsfIw+iH1AegH5LD9yMGz+sMUveLjqIfUhfKIHl52hzDuEF+EfI5irPjcYO61ZdnbpC6r3AC7SZOKxYZKAvspEHyMH4j88sJ/yn0Q3L9HKnm/6cNXk9BuykLFqnuA501aIT8BdK3h/yXQYoBUk1HzqMfktUWWV6doEGqmiGbo/pkuoh2U1YLpLrNdwntprxQSLU+fhntpvwipCzOIld4XIXU61oGqdNCvpTL/dfQbsrDQMqPr3od7ab8M2SwqpgGSc4xN9j5TXZ+k53HsPMYdn6Lnd9i57fZ+W12foed32Hnd9n5XXZ+j53fY+f32fkDdv6AnT9k5w/Z+SN2/oidP2bnj9n5E3b+hJ0/ZedP2fl/7Pw/dv6MnT9j58/Z+XN2/oKdv2DnL9n5S3b+ip2/Yuev2flrdv6Gnb9h52/Z+Vt2/o6dv2Pn79n5e3b+gZ1/YOcf2flHdv6JnX9i55/Z+Wd2/oWdf2XnX9n5N3b+jZ1/Z+ff2fkPdv6Dncey81h2HsfO49j5T3b+k53Hs/N4dp7AzhPY+S92/oud/2bnv9n5H3b+h50nsvNEdp7EzpPY+V92/pedJ7PzZHaews5T2Pk/dv6Pnaey81R27mRq50jl3NnUzl1M7RypnLua2jlSOXcztXOkcp7G1M6Ryrm7qZ0jlXMPUztHKueepnaO1PfBTO0cqZx7mzx/MrVzH1M7RyrnvqZ2jlTO05raOVI5T2dq50jl3M/UzpHKub+pnSOV8wBTO0cq5zZTO0cq53ZTO0fq+yymdo5UzoNMXn8xtfNgk+8vmLzOaPL9Q1M7RyrnYSbJuzHTkIuPLpjlF25q50i9Hm1q50jl3DS1c6RybpnaOVI5d5jaOVI5T29q50i9z8DUzpHKeUZTO0cq55lM7RypnGc2tXOkcp7F1M6RynlWUztHKufZTO0cqZxnN7VzpN7HYWrnSLk83DWnqZ0jlfNcpnaO1PdlTO0cqZznMbXzvKZ2jlTVIp+pnSOV8/ymdo5UzguY2jlSFVNBUztHTpnxJi59IVM7R6r10cKmvp+H1OsVpnaOVNPxoijPvZ/67kcm1GgyoUQxUztHKufFTe0cqddrTO0cqZyXNLVzZCuPG2F1S5n6PidySLGt5RqVNrVzpHJextTOkTvnRU9qVxblKfdpIJXzcqZ2jlTOhamdI5VzYufEzsuz8wrsvAI7r8jOK7LzSuy8EjuvzM4rs/Mq7BwpD8eqatKRrl6Jq5Dq/mQ1k+SPNyLVfcbqKM/LZytsR6r7rDVMwrs77kWq+yk1TX3fAKn2T9RCecobAMhr3/CHESbJZajzyPfWxg/VaqM85Y0npLNcmIk0aSYu522kKb+gjkmb7TGVHiJlsTari/KssL3zM6RaV6ln0rPeqAHIbvJA6qM8cTifkPJrukeZeh0Uqe7rNTBJLj/9Qh4D1yENTb0ehcS7i4xqhPKUC46NUZ7xqBhIvc7Pzpuw86Yoz/pp1s5BymoU1AzlOebVxUVIdd+ouUnytscK5Mdq+IIWaDdfLAtYj1T3b1ui3URxbUWq9chWaDdxeruRJeWBtDb1+hdSfk2pNibJPz+OVPse2qLdvIoCRU5qhwNuh3ZT/gApb3NGtDcJtd8eg1TrotGmXv9DytusTTqg3ZR/iPyZ/nbPVh3Rbh6kMa+Q6SJRQzuh3cRl/9CJnXc29f1BZEUUf+8upr4/j1Trs11NvQ6JVLenu5n6fmt3tJs4nHHIDPgajx4myT+fgiwtL3hPky4tQoEiJVd7L7SbF/EDZC8Jq7ep75P0Zud90G7Kgu/Dzvuyc6Tad9PP1Ot7/dh5f3ben50PMElepqNIfwl1INpNuU8PKYur0iC0m/IdSHU/ejDaTRz2jcHsfAg7H8LOh5okf/wYqe6TD0O7KQ94GDsfzs6RV8Cm8whT3w9DvkU17zkS7aY8MaSslv1HmSSrWyJS3c8djXYT1SMVKS/7mDFoN+X+oLFoN+UXINXy+Di0mxICUu3TGG+SLIZ5SJssqAloN+U2jAnsfCI7n8jOJ7HzSex8MjufzM6nsPMp7HwqO5/Kzqex82nsfDo7n87OZ7DzGex8Jjufyc5nsfNZ7Hw2O5/Nzuew8znsfC47n8vO57Hzeex8Pjufz84XsPMF7HwhO1/Ezhex88XsfDE7X8LOl7Dzpex8KTtfxs6XsfPl7Hw5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw87XsPO17HwtO1/Hztex8/XsfD0738DON7Dzjex8IzvfxM43sfPN7HwzO9/Czrew863sfCs738bOt7Pz7ex8Bzvfwc53svOd7HwXO9/Fznez893sfA8738PO97Lzvex8Hzvfx873s/P97PwAOz/Azg+y84Ps/BA7P8TOD7Pzw+z8CDs/ws6PsvOj7PwYOz/Gzo+z8+Ps/AQ7P8HOT7Lzk+z8FDs/xc5Ps/PT7PwMOz/Lzs+y83Ps/Bw7P8/Oz7PzC+z8Aju/yM4vsvNL7PwSO7/Mzi+z8yvs/Ao7v8rOr7Lza+z8Gju/zs6vs/Mb7PwGO7/Jzm+y8xh2HsPOb7HzW+z8Nju/zc7vsPM77PwuO7/Lzu+x83vs/D47v8/OH7Dzh+z8ITt/xM4fsfPH7PwxO3/Czp+w86fs/Ck7/4+d/8fOn7Fz5He5DfQ5O3/Ozl+w8xfs/CU7f8nOX7HzV+z8NTt/zc7fsPM37PwtO3/Lzt+hPOWN+nfs/D07f8/OP5gkt12+QSY2DGjW8SM7/8jOP7HzT+z8s0lHa5U6+OszO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/wc5j2XksO49j53Hs/Cc7/8nO49l5PDtPYOcJ7PwXO//Fzn+b1F1uREKq/T9/TL2/4Q87T2TnyAIv6h2tlcTOk9j5X3b+l50ns/Nkdp5iktoGnsLO/7Hzf+w81aQK7ewTviFjknAATha1mPNjSzxS7Y9ytvR+UKTaN+9ikfq1q6WdI5VzN0s7RyrnaSxq8O5OnVlI5dzd0s6RyrmHRXI7wTKkcu5p0fq+uOLIQj6Pb2X1skhe/k1ItV/E2yL5051Ivb/b0vs+kGPktilfi/xkASHVfd20Fql990j89ZRK6SyqjK+7iLydVe6QtEhty0d+icKB+ls0RP4DKUu/YYCl98UiM+1dZbWwWfq+OVI+PdDObul9YUi1HyHQIrVtDtlHbhMMsij1wYYVcUj8z+7+wRaFyw9GblwRd29oiEVFJACk2m4baun792Eoz2S5EcgidZrhKE8c/gykOizDIvl185Ar5ceYlt6XgTycEQdqoTz1P0g9r+Gw9H4YpHKe3tL7BpFqn2gGi/Q+aouyyA3aGS29fxWp9tdksvQ+MaR6bCKzRfKynkeqfdFZLL3vCSmLt3ZWi0x1AS3ajOKIymZp58hzOPxm2S2qKx8jQar94Dks7RypnOe09D5kpF3+I5dFqy3USCS+ZV3f3JZ2jlT7FPNYdH8oTggpq/HIvBbFyuqZz6IRsmIjVXXKb+n9m0j93IhF8rLOQarLVdCiG7gMi5CqeAtZJIttBXKALI7CFsnTXIdUh1/EIoeEglT7jopa6mN2Iy/IXxezqL48UKRkW6q4pZ0j9T4/i/cxWRQkC7ykRWtR3S8jlfNSFqnHYpA1ZcUubdFDVKd7SHUfv4xFP3H5nyJHyQ8ua2nnyKXLJACLcsgKhpTF1lVY2jlSOSd2Tuy8PDsvz84rsPOKlt6XgNyOWulRyaJSCpRFlySzyuwcqVhUsaiXOiFL72erys6RqtpVY+fV2Hl1dl6dnddg5zXYeU12XpOd12Lntdh5BDuPYOe12Xltdh7JziPZeR12Xoed12Xnddl5PXZej53XZ+f12XkUO49i5w3YeQN23pCdN2Tnjdh5I3bemJ03YedN2HlTdt6UnTdj583YeXN23pydt2DnLdh5S3bekp23Yuet2Hlrdt6anbdh523YeVt23padt2Pn7dh5e3benp1Hs/Nodt6BnXdg5x3ZeUd23omdd2Lnndl5Z3behZ13Yedd2XlXdt6NnXdj593ZeQ923oOd92TnPdl5L3bei533Zue92Xkfdt6Hnfdl533ZeT923o+d92fn/dn5AHY+gJ0PZOcD2fkgdj6InQ9m54PZ+RB2PoSdD2XnQ9n5MHY+jJ0PZ+fD2fkIdj6CnY9k5yPZ+Sh2Poqdj2bno9n5GHY+lp2PZefj2Pk4dj6enY9n5xPY+QR2PpGdT2Tnk9j5JHY+mZ1PZudT2PkUdj6VnU9l59PY+TR2Pp2dT2fnM9j5DHY+k53PZOez2Pksdj6bnc9m53PY+Rx2Ppedz2Xn89j5PHY+n53PZ+cL2PkCdr6QnS9k54vY+WJ2vpidL2HnS9j5Una+lJ0vY+fL2Plydr6cna9g5yvY+Up2vpKdr2Lnq9j5ana+mp2vYedr2Pladr6Wna9j5+vY+Xp2vp6db2DnG9j5Rna+kZ1vYueb2Plmdr6ZnW9h51vY+VZ2vpWdb2Pn29j5dna+g53vYOc72flOdr6Lne9i57vZ+W52voed72Hne9n5Xna+z1LbGDfsY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnSPrVul5telxdn6cnZ9g5yfY+Ul2fpKdn2Lnp9j5aXZ+mp2fYedn2flZdn6OnZ9j5+fZOXJvw4tufhcsvb8TqZ7PuYjytOxlFiHVc2CX2Pkldn6ZnV9m51fY+RV2fpWdX2Xn19j5NXZ+nZ1fZ+c3LP38BFLt/76J8lyQ3PbyTXYew85j2Pktdn6Lnd9m58i08sGGOxbJx99e3mHnd9k5Uj2HcA/luSs3fUO2kA/K3Ud5PveMjkcOlK8HKE+/d5OTkHM2RC0b/tAi9Zz2I4ufH0B5dl91x/2xRSi9d5ORDZYN/+P7xNLPGyHV/uinaDfbXs6/ADklqXiFsP/QbsoPRKrnop5Z+rk1pNyOnPW5pZ93QD6eeHNX7hcoT/nFyPgD2+4VfInyrG182IeUh1f8lUXya48ic8kCfI3yxNtOIyvJ1xu0m0/2NLyIVM/lvrX0Pnuk2k/6DuUpTwQ57xbe+N7SzwMhdzodftD8A9rNRdk/PUeqffsfUZ7yhJHq+b1PFqGUC39BpsrHuD+j3cyKM0Gqxz2+WPq5RaR67uyrpZ/3QkbKB8S/od3E4bl9R7uJr52IlB/n/cPSz+8gA+Qr1iK523ceMo+sqHGWfk4QKRlZP9Fuym3HyDbyjfHsHDlMVugEtJvRKEGkrFb5f1kkHz/Yg1TPrfxGuykfw0eqbe1/0G7icpxEymKukGjp/b1IZ/nFSWg3cbpXkeo5979oN3F4t5DqeYZki+THPUhm5yloN//DC9m1P67wP4tw1VzeICeAW8dUtJuyoJFq/7STg/LJNyL1czoO/Twn8r58bMzFQe3kBUGqfdCuDhohP9DNQT64vOOR8rJ5pnHofe5I5dzdoZ0jlXMPh3aOVM49HSQPbwXSVV5gLwfJj1uHlG/L7u2grVvwQpaQkHwchKt2cxeyvqwIvg69nxwpeZRK6yD1/DZSPX+SzqGdI5VzP4d2jpTVpZa/g2Q1uIl8KB8DDXCQvGz3kPJyNLY5+LkRh3Zud2jnyBwScKCD9svHVpHKeZBDO0cq58EO7RypnIc4tHOkch7q0M7DHNo5UjkPd2jnSOXccGjnSOXcdGjnSOXccmjnSOXc4dDOkcp5eod2jlTOMzi0c6RyntGhnSOV80wO7RypnGd2aOdI5TyLQztHKudZHfw8jUM7z+bQzpHKeXaHdo5UznM4tHOkcp7ToZ0jlfNcDu0cqZzndmjnSOU8j0M7RyrneR3aOVI5z+fQzvM7tHOkcl7AoZ0jlfOCDu0cqZwXcmjnSOW8sEM7RyrnRRzaOVI5L+rQzpHKeTGHdo5Uzos7tHOkcl7CoZ0jlfOSDu0cqZyXcmjnSOW8tEM7RyrnZRzaOVI5L+vQzpHKeTmHdo5UzoVDO0cq58TOiZ2XZ+fl2XkFdl6BnVdk55XYeSV2XpmdV2bnVdh5FXZelZ1XZefV2Hk1dl6dnVdn5zXYeQ12XpOd12Tntdh5LXYewc4j2Hltdl6bnUey80h2Xoed12Hnddl5XXZej53XY+f12Xl9dh7FzqPYeQN23oCdN2TnDdl5I3beiJ03ZudN2HkTdt6UnTdl583YeTN23pydN2fnLdh5C3bekp23ZOet2Hkrdt6anbdm523YeRt23padt2Xn7dh5O3benp23Z+fR7DyanXdw0P+krfpA</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>eJztzq9OQmEYwOHTGRtF86k0L+Ek3UhUmoV+5thszEsgWB2FCzAYDVSDm5dwNm/gyNAJCDrf14vA7XnKb9//ryjgONS379Vvb57a6Ms4Wz+/RZvFKnuR+y5fP6JF9zN61sk2o12eL7PV9Cs6u9pH2+vsbJDz5enfvuE2upxvovePud7rfOd954ccn+T88C7fK/vr/M8k/1U85BgAAAAAAAAAAAAAAAAAAAAA/qsfqYQ2eA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=239.017 Q3=119.900 sample=20 experiment=1 RT=5.34 ce=-15.00 name=L-cystine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="464">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztzssrhGEYhvFRs/AXOJWUxEZSSrOcLCZZSEKShZUsJCsryWKSrOwUOTMhx0kakcaUTGwcppFD9lKykLV03xbjH2Bx/TZXz/N+3/t9gQAAAAAAAH8rWfwY/m44dqe+uoPqaGlW80NG86Ibv1Hz1WSeGni+0r7KTVxqf51Wy8613zzTfJtSP0/V+6RaeKKmj9Q6t/LQc0J9cZ8O1KZ9td1NxdX3PbXFDXm/u6Nmd9XMlhrZVI+31QnPBZ4719Rmty+mhjfUHjfo/Zife1tVqz0Hfr3f6POs5/p1f9/7jmV1aEWdXs7tz3O1fr9r0f/l87jnCjeyoEZ9fuF9jZtxW9wBPzc5p6Zn1aLZ3O91+97ypdz7PvzcnM/759XhX/e9T+f+b2JGbfB9I36/1+dR31Pi/bgbdCvd0JTa6rnN30l6DwAAAAAAAAAAAAAAAAAAAAAAAAD/wBf8ro7I</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=241.217 Q3=241.217 sample=20 experiment=1 RT=0.56 ce=-10.00 name=C15:0_pentadecanoic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztzqGNAkEUgOEtgiDJahQ5g90CUFRABYQgrgFKQGL2DAaDxVECCQ2AB25zwJ295L0tgpDvM/+8zMzuFAW8hknRVLH4+o6Ww1u0Xl2ik3M7b3J/f7xGT/Oct4ef6GD4iDaLe97rP6OH3W901s0Wn395bpX7ZSfP19Nsuc7vnUY57z/aeZz/q5f53qqX7wIAAAAAAAAAAAAAAAAAAACAd/EPfZAzhA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=243.062 Q3=110.000 sample=20 experiment=1 RT=1.85 ce=-30.00 name=Uridine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt23VAFE0YBnBKWoE7enfP7u52XjsRA7sDu7u7u7u7u7s7sPOzu0FQQZDvmZn3/vgePzjudmfnN7WzkcaHfaNr1xRrD0Zvn+HVUpw8V/mJY0sHsW37w1YDInuIWleLxnVI6iPOipH7bNcHiJL7Lg04sXKI8DJWtMx5dZRIePJgdN8q40T6cmd3OB2eKHxSk2/VKDJVFGvz4d+DDTPE7pcf5+/xnS1GPio7uPGm+eLb6i4vV4olonmXhdXf318hVrUfX3ST/xphCxQXnu5fJ6qf2Xrb1XeTOHZUvraKEVaJjpU67xRl3279ne/Qbv75XrE8YP3x0yEHxIal5zLs6nNI7Mz6ZuyK60dE3ozp47s1PC7u1pl1PvOzk8J37uYxdaufFjtSpmSavfaMqNOp25mYlLMi7nZEW//G58W8svld6uy5IIrhIGb6XhIPbHHlb3a4LKYv7GEbe+qKUMVjXBPH6y3IOKP/ddHq+MDT12/eEM7ztu1yD4oR9aovH5XtTIxY8296nSo9b4mfe0dk6GDeFpU69/wx/vJtMd/R+tT6AXdENq+dNfwK3BUHfqbcHfTxrihbN7VKjrX3xPXStW/Nbn5ftMy2vNnfoAfim/+Xt+1vPhD9e3xtFDj5oUjTpMyr4RUeiQUVp3Z7//eRyJbv8a86+x+LbVOfdHLq+USUHZDrZ+ccT8X11oOH33n5VLSsecmj7NL/xLeiIXM2RD0T/eeGujVM91ykGdFxxsmLz0XNIs2mzaMXYl2vst4P1r4Qg979GVrG46W4lelJ4oguL0UudYIvxdilKxNcC74ST+XlnfdKFA1sHzvp9yvhNSV9u29NX4u2F5xfFjjxWlR1HeSTJccbsXHwxZyl5rwR0w6Ujcqb/EZ8zjO9T8UOb0VMZ9flxWLeiv0b5BveiSDr8lux7p1IaiL8C6d7L5rGzMhXfdB7US6tPNP3InONoWPz1/ogUParKx/4IDql0LUSGT6KS31nfao95aPY3EIW1Efhn+51s8rdPomBJ1aG5//vk/ivR/NHobU/i0rpwxa5nPwstt681/BL/i8iYNScoPurvohBBSLvngz4Kp6/8EGN+Coqz75Ud+7Pr2Jb+fH+w9t/E/4r2zQa9fSb6JtcdsXYqO+iVd+MnWuc/y4yqdcP8eDrhfnT2/wQZfPcXfJu+Q/hknti8KMbP8SRx1NSon//EPd9FzwobsWK2HKrd3tVjBW9VEWI1fV/Wqz4W7xC2PHtsWJi7PZMB27EioGyon6JFR07zzMK+cSJxus9QnvljBPf8DUvK8WJKx+6N9naLk5s8K6Stf+YODE2jwMfHSda1f51zPNUnCjd68ak28/iRNOEwziCOFFMXm7zp7CV7NLHUfqn+Na0QrkPTX6Kq8PCvfcM+ikU2yU/xYuBuODHforwuo+NYS9/ivq5bpQb5h4vbna4975L7njhRZe9u9aJFzjavF37x4sTDc7db7IkXvzJdyixycl4UdBzm9n0TbzYXmnv+WpeCWLhLL8hxXIn6PYhIkF8/4ZXjwTxI9Zcd2RugijcuOXzfocS+DolCMXc7ZfYffLLijJ5fonPx316jGj4S2Q9lqvsqVG/hNmo2AT71l+igXzd+yVm1u+XZWHqLzHh28jun3L+Fqfkn0X9Fomf5B/+FoU/Pn28c9Nv0f39382xt3+LDW/DBxdO+S1evC5ZrX/2PyLsVeOQg3X/iIDh7Vt7D/sjzoRkq59m7R/Rd8/7yk5X/ogsEZtL/P3xR8iz/xWSqOuPSBTPshcp1qZTonCUnp9YZF4il3uieHWui/vVz4nivGwmg5NEXlnNyydxfUwSbc7eyR29OEm3ixeSuJ4liQVVDmfcm+GvUIcZ8VeU2L3kdNyQv2Jyh6mzbZv+ClyNNoXu/RW5b3UrWM8lWQyb0MK5T/5kXS+bJ4s2UfWyr5qcLPZ4Vfx98kCycD1Z+OLz18kiShaPf4p48x0FXipF9Ot6ck219inC7f20HF+npwj5MTsPpwivu/2P9n6bIm5uR0MY8E8ce/GuYwr9E18GvL5yodc/8WjztY2rV/3T1z/mn+hRZNRBckkVo6qdHG6VSBXAgyqZqj2uShXloGTg7VTxUVZTFyeaO64RarATLclbpcaqfE7U4qDRqFgVJ8pQPrbdtRZOJL+lbX8n2hi1bPifaU6U7WTjuKnrnaiKLMYTTpTp4dXLKx44kWzte/5wotlN0DB4OVO1JfV6/8roTE5P7tY/UcqZpJbHdZ1J1YfOzjQIrXHSaGfK2t9liedSZ7qTo3j74H3OpNqDG86kmu8PzqTaPScXcv/6Yc64EBdqC+1d87mQqS6cCz24tPRjzeYu9N0evrRAPxeSrZ3XdBcqYaFFXu9C25Oadz9/woWeHdpTcNlDF1LtY6wLvWmJhsLblWTxRmd2pV8RE0u7lXalww+a49BdCVe1QYEuriQ+e7S9MNqVtCdXQmWv+XWPK6lqf9WVfvd/sSzgrSsVOj128Jp/rpTuRIHFuULdqLq8cAXdKKv76PkVa7rR8deB1uVoN2pwetO62qPc6Cs43F3iRuOHxextst+NrKbtSz+/6UaTtowf+e+DGxVteaS6r0saqtD6bUwmIw1BMRreNBRT6eGP+BppaHd/1Mw2aUg5HZSGDpTKNqjAzDS0sOub6/Hr01BY7W0ddh1LQ0kjuhzrdyeNPp9PaehfxaSvn53cCbgr7gpxp5Mfe01snd+dlq3JfDi5qjsNaXb/06LW7tSw8VjvjEPcCX+Va/Ncd9rlioq53Z2mOaEDveBOqlt84U6q/ia5U2XZrAR60IYBi/v1yOtBMenR0lT2oKRLpwL/tPCgLH3uvikzwIOKfPGeNXS6B1XYUjrnhvUehMFF0etHPcivgRyBeJDqlz540Ijdb0Jq/vOgA63qZukT6Em1mu/7ujqXJ8ne6qrwpHftb051ivKkylX7JPp19iTVnY3wpHZNd8wuPteT2qgD96T1OYM6pj/hSR8y3FseeMeTro9flzPovac+vyRPUpctrRfl2dmz1NOMXqT6/WJeZAwuPHxyTS+6WLP45PKtvShoWo1Pbv28qP21FjUvTcT7oie1a7HMi9SwZKcXlZEd0Fkvks1TjftedCXt4jRfP3jRq8I44b9epPtNb1L9WgZvmhSPhqawN61C65qlijctWYxXE29a3JtKTOvpTU8xShg9zpsqy8u92JtmrfpT8N0Obxouu4Vz3nTpVcB3+2Nvanyl0Lnd37ypilONho1dfWhQgyGjnEN8aLrrmTbDcvsQas+TxHI+tPzL4IBR9XxIdTvRPrT9XkGcug+lWTunlPN0H2opO75VPiRHE8f2+RAKA7J9aFjI0+Rtz31odce9n/om+FAHjDYdvr6Uttbo54sz+9KefD3WOpfxpUYBzTp2jvKl5J9V0RT6UsVJ5QoVGO9LspuasNyXem7I3/vWAV+yXw/OnDXGl6q/2XR58Bdfkr31I4+0hFp5qmTmtHSnz/Rji8ulpW2/ZceVVvvon1bXj9lpqfTzyOkLd6SlCwenPCx1NS3JUd+992lJNT9p0tHTKrImpKNEv48Hd1ZMR6q/bJOOUGtGVhuZjprPPJOQY1k6GjHtcFevw+lo1eRdLz/eS0dnJmxsdCUuHcnR6BY/P+oom/fcfrQ/6O/Vb9X9KHpL66h6Hf1I9YPj/Eh2F2Fr/GhBpwOhOU/7kWpfX/jRk4r3zohUPxqHajXd358+5cTALKM/jXJe+Di6kD+9311/cWRFf5LFeK2+P6nxXDt/ujL4S9S7vv50qhla3rH+dFAOx+b663q11p/i5PBjjz/d9zs3zfWMP8nqWOSWP916OG713+f+hFpe7uw3f9LjCn+SzXw93wB6jWoSbgRQdnmiOQPo7+hFqGEBtBXNTKfKAZS7LUZ89QJIju6etwwgNS7oGkBq3DgwgO4sPNTpydgAWl0BF3RWAN0IQ4Euw+f8CBuQZlMA5ZAVcW8ANVy5dfvDkwE0dkC/6meuBtCuCIz8HwTQtXV9u558FUADIh3BXb4G0OhsKOnfAXTUBS2ws43GFUKL422jSLK3OWu3ETr/8/tMm24fstqojBzA57NRh99v2qwuZqPW3sk3TGGjqZgVZKtq0+1epI1256ZvRRvZdHvf0kZD5MC+g40G9DbSvuiOz1PjIhtdqIaGeaiNqksoo20kZwETJtoo464+nWZPt1F/NIsL59roz/uZDdcstlGtH61XbFpp0+3ZehuhkZl2eKuNNjWS8GykhpMHbTRy5vsM947bSPXvZ3Eccpx12aZ93rARJitnwu/atLtHNmrUDCOpZ/g5RuMN3thIttYnPuLnX/Ifzf7dRrL3nxVv0w4SbdRw+I4DbVPxc9d8+6+62UnNR7zs1A3NfdZ0dqqTHNr3gc3O/aSdSsgLZ9hp8YvTZeqmt9NVdONFM9spZVv6SWHZ7ZR/7o3tKbnsul3JZ9f1v5CdMAkbvqOYnWQzsrCUndA5ZB9azk6Hqzyr1aqCnYwoz1tVq9gpotTBX7lr2GkkZk3+te30Ii8+qa5du2pip1q2lmhK7fRJdi8d7TTp5q7c1AOfK1/97aSG2cPsNMe26fOAsXYqgNZh4hQc3y90qLPttLQBKtQiO+l5q53kr7est+vy3GEnUzYAR+z0EqeXesFOclaZ7Y6dusgDfc7H9wmfezS7n0+Cnd6g+32baqfL+Rckt/UKpFGZ5916YgskPf4OJNktXc8aSGo+mD+QJoV5jDtbIpDU/KZCICU4oeBrBtLWePyjQSCpaXLLQCqC0VzJToH06ch/h/b0DqQYOX0ZGkgTLked3jQuUNffGYEUt6tO1yULA2nzutpkXx1IrRbVCpq2JVD3m/sC6e+Gs9aY44Ekh5dJFwJJzvr6xgSSY8zxZV8eBepxyutAmtIZJ/glkMrLgdqvQJK1/25qIP3XNV+WCK8gmtsqT+J5WxBVlxMEM4jkbPVg1iDtJH8QdcsnR85BpOa/FYLIsyxKumYQqWFLgyCSw9JZLYMod+j8u16dguilnHb1DiL8dMTfIUEU8XNG/X7jgqhwOs+JsdOD6KOze/MuC4NoFWadr1cFUUP5gy1B5Ptf6uO7e4NI9o4Rx4No8Lm/4y5cCKL8ciATE0RBsqF/FKTr5esgGrqp6Z/334Moz5RKM5YkB/H5BJOeXweT/LrtmYJ5vBJMPa82texlgimDghZMajraIJhG9wp9nqttMKl5Xo9g2uvbe9vUocHUTk6sJgVToBxAzQumc7vRca0OJjXP3hGsx6FHg+k+Lt/Ri8G6P7sbTJ4/K6UYL4NJzUNjg0mPm0MI/x3jYQ8hNd/LHEJ6/SREu68eQpHyQrUMofFyeN0rhI5kedng4+gQ0vOrEB5Hh1CeaMx0DoYQJs8bvC+EUF45XbwVQnrehfePR0X6EEJdZMHHh3A9DqEWqqMLpQdr0YGEhFLdrksGLssUSpJHvnyhVEl1qKF0AizqVw4lOYp5WyeUdqMaDmweytc3lNY9P5FuWd9Qcmz8UC3fyFBaJJdPpoRSQDFZc0NJDgdfrA4lOXrqsz2UIqMh4nAoXcrTqerCc6FUIX726JwxoaTWd56EUtGxbxMi3oeSGh7GhVJOObH9F0prHrVd5+YdRubqac8WBIVRh/Klj2TJGEYvPKPjD+QJI7WeUCJM9zcVwyii1as13SPD6GI21KSmYURyYaRDGB3ZLweEYYTR2dQDw8N0eU8Oo+yyws0Lo1V33Et1XxVGn/ui594aRu3lgOFgGD1z8ZqS/mwYt8dhdGt2838VH4dRzSYTStx/G0bnM6ADiA3T5ZYYpvt3l3BSw1bvcN3/2sKpt2wQjXCS3cLIzOHUSw6Ucofr+UeRcFqBYppeJpzk9ONtpXBafrF2dLmIcH3eDcJp6ZArjb63CNftaIdwuoJmYl2PcKqeLzVjyoBwkqtADUaGU7WXQwJ3TAyni0cOTXefFU5V5v1yb7UonC50xwRvVTipdabN4RQvh1u7w0ktexwOp59JaEjO8HFf4eO+HU6rdjyZnvtJOGWQDdvrcFLLJp/DSc7yK/4Ip4hxaSN3xoeTr4STGE7XRmICmRJOU1Oif79xNnR/6m5QyQxoeb0N+rO85D+Hn0FyujjBbtCGU9+vxYYYJKtHE9MgtS6QwZC9+p3cWQ268+yFz9ycBs1BsSflNUgNywoZRHJ5sphBclhYp7hBcvh+B/kBw+iGJQzqLyeEyDty2a+kQXI69ARpQVHbUgYNDdxR9SVSLm+0L22QWm9DZpYD2TIGyW79K1KumvUqa9DV1ZUP/EQ2lh1LOYPHxwb1xduGCYOc5IsMUuuISAPDc/fyBm26ICcChp6XVTDobEKO5jORdeQbKxqEd2GiZxBmW3NDK6F86r9evxQ5/nPdQ47KBtnUwpjB432D8u5Z/n0jUs7yclc19PVG3hv0MVvBagbJs92H/LERX1zdoOFCfrNB6jRqGNopUs8vDZIfdwGp3lYL5XkNL6ScVkZGGKTXLwzd3tU2dPuIlMPh5pGGnn8it+BdbesY3F4Y2kVdg+odcuBUDJLD7x71DFLrNkg1v6xvkBwG/UbKyzEkyqA1KOYUpCy+0Q0MksXi1tCgGrKCIVW71cjQPpF6XdegkbIAkaoeNjF4XmRQdrWAZZAaDiDVvLiZQTd/o6CRalzf3CCUnuc2pGo/Wxjk1jBd3j1IeXWLtjQovbwgSFVdWhl6fIHU8zyDonDZziHV5WhjUE954ZDJsvjaGiSLJQYZIk+3ncHjd4PU4bU3SDXbyFry46INkm97jeygXgbFy2VkJK7a1G4dDUonKwJymVwO74TyLIKBN3LitTED+nU2qJJcPkbqdV6D1LJAV4O+oFqNRw6WJ9zNIHf1gYZe/+hu6PEsUl6OwB6GnjchL6P4wnsaJItlOVKeboZeBvVWQAz6h8PL1tsg+bWbkXKZLkcflCeG9VuRbr6H7ubri/Jcm+39bqRaZ+uH8rzt6nsIqZYx+xuklpmRUZjtlB+A8sQw9xyyh+w4BqI8W6ElRE7+7TU9YpBBwTMHrYxBrsPH1h+M8pQLLki17jIE5fm10MenyEeY7rQaivKUC0BIPY5EedbEG5BqOW+4odtZpOp/Rhh0YPPGYQnIiuXxTSMNPW9CqnnvKIPkMo/zaJTnypiH45DuxcVnjzEGyWHyFKQc5qYbi/KU9yOQ8rQDxxm6H0Q2xGGGj0d54uuXI9U68gSUp7x9gVTzlYkGhR5J3b8ZuaEuSmKSQWodFCmXlQpNNqi2fAPyyc4ctpJTDMKnZzmGTHiWpriYauj5FVItf00zaPl6fBAyt1yYmm4Qrs7cG0gcxfq6M9Bu4rLcRRbsl9q1/kyUp0+PEfeRNdc+ndVkFsqzlPwXyvP24f2tZqM8O2NGh1Tz1TkoT7mMgVxaAB8w19DzPaRal5mH8vx9slgCUo2/5ht6vIZU68MLDL0esdDQ8xKkWm9chPKUA3jkjr1FrqRdjPKUh4FU6xpLDD3/QKr561KUp7yBgFS3FZahPB/iwJGh6hcGyVHWZmThlRPG5FmB8sRR7URG3Gi3sdBKlGc0ThCp10FRnvN2PjuK1OvzKE85rUbK0WblNQbJuzOXkIemyC9CeWaqGnEDKYup7jr0Qzj9u0h5Wo3Wo3+UBYb0lAe0waD5+PgXSPln7TaiH8L/vkOq+z6bDL0+hFT3DzajHyqDXyBVv73FIFytyESkWsfZapBc3UxF4mQmjNmGfkh+wHaD5G8nISPlwvoO9EOzmsTMQHaRF2qnQeryINU4dBf6IVmcSFlMjt2GHm8i1bhqj0HqcJHyMHLtRT8kPx6pxjf7DFL/i/SWF36/QaglKBJDr+8dQD+k1rnRD8nbKQcNebVwpQ09vjuEfqgjLgBSVsfIw+iH1AegH5LD9yMGz+sMUveLjqIfUhfKIHl52hzDuEF+EfI5irPjcYO61ZdnbpC6r3AC7SZOKxYZKAvspEHyMH4j88sJ/yn0Q3L9HKnm/6cNXk9BuykLFqnuA501aIT8BdK3h/yXQYoBUk1HzqMfktUWWV6doEGqmiGbo/pkuoh2U1YLpLrNdwntprxQSLU+fhntpvwipCzOIld4XIXU61oGqdNCvpTL/dfQbsrDQMqPr3od7ab8M2SwqpgGSc4xN9j5TXZ+k53HsPMYdn6Lnd9i57fZ+W12foed32Hnd9n5XXZ+j53fY+f32fkDdv6AnT9k5w/Z+SN2/oidP2bnj9n5E3b+hJ0/ZedP2fl/7Pw/dv6MnT9j58/Z+XN2/oKdv2DnL9n5S3b+ip2/Yuev2flrdv6Gnb9h52/Z+Vt2/o6dv2Pn79n5e3b+gZ1/YOcf2flHdv6JnX9i55/Z+Wd2/oWdf2XnX9n5N3b+jZ1/Z+ff2fkPdv6Dncey81h2HsfO49j5T3b+k53Hs/N4dp7AzhPY+S92/oud/2bnv9n5H3b+h50nsvNEdp7EzpPY+V92/pedJ7PzZHaews5T2Pk/dv6Pnaey81R27mRq50jl3NnUzl1M7RypnLua2jlSOXcztXOkcp7G1M6Ryrm7qZ0jlXMPUztHKueepnaO1PfBTO0cqZx7mzx/MrVzH1M7RyrnvqZ2jlTO05raOVI5T2dq50jl3M/UzpHKub+pnSOV8wBTO0cq5zZTO0cq53ZTO0fq+yymdo5UzoNMXn8xtfNgk+8vmLzOaPL9Q1M7RyrnYSbJuzHTkIuPLpjlF25q50i9Hm1q50jl3DS1c6RybpnaOVI5d5jaOVI5T29q50i9z8DUzpHKeUZTO0cq55lM7RypnGc2tXOkcp7F1M6RynlWUztHKufZTO0cqZxnN7VzpN7HYWrnSLk83DWnqZ0jlfNcpnaO1PdlTO0cqZznMbXzvKZ2jlTVIp+pnSOV8/ymdo5UzguY2jlSFVNBUztHTpnxJi59IVM7R6r10cKmvp+H1OsVpnaOVNPxoijPvZ/67kcm1GgyoUQxUztHKufFTe0cqddrTO0cqZyXNLVzZCuPG2F1S5n6PidySLGt5RqVNrVzpHJextTOkTvnRU9qVxblKfdpIJXzcqZ2jlTOhamdI5VzYufEzsuz8wrsvAI7r8jOK7LzSuy8EjuvzM4rs/Mq7BwpD8eqatKRrl6Jq5Dq/mQ1k+SPNyLVfcbqKM/LZytsR6r7rDVMwrs77kWq+yk1TX3fAKn2T9RCecobAMhr3/CHESbJZajzyPfWxg/VaqM85Y0npLNcmIk0aSYu522kKb+gjkmb7TGVHiJlsTari/KssL3zM6RaV6ln0rPeqAHIbvJA6qM8cTifkPJrukeZeh0Uqe7rNTBJLj/9Qh4D1yENTb0ehcS7i4xqhPKUC46NUZ7xqBhIvc7Pzpuw86Yoz/pp1s5BymoU1AzlOebVxUVIdd+ouUnytscK5Mdq+IIWaDdfLAtYj1T3b1ui3URxbUWq9chWaDdxeruRJeWBtDb1+hdSfk2pNibJPz+OVPse2qLdvIoCRU5qhwNuh3ZT/gApb3NGtDcJtd8eg1TrotGmXv9DytusTTqg3ZR/iPyZ/nbPVh3Rbh6kMa+Q6SJRQzuh3cRl/9CJnXc29f1BZEUUf+8upr4/j1Trs11NvQ6JVLenu5n6fmt3tJs4nHHIDPgajx4myT+fgiwtL3hPky4tQoEiJVd7L7SbF/EDZC8Jq7ep75P0Zud90G7Kgu/Dzvuyc6Tad9PP1Ot7/dh5f3ben50PMElepqNIfwl1INpNuU8PKYur0iC0m/IdSHU/ejDaTRz2jcHsfAg7H8LOh5okf/wYqe6TD0O7KQ94GDsfzs6RV8Cm8whT3w9DvkU17zkS7aY8MaSslv1HmSSrWyJS3c8djXYT1SMVKS/7mDFoN+X+oLFoN+UXINXy+Di0mxICUu3TGG+SLIZ5SJssqAloN+U2jAnsfCI7n8jOJ7HzSex8MjufzM6nsPMp7HwqO5/Kzqex82nsfDo7n87OZ7DzGex8Jjufyc5nsfNZ7Hw2O5/Nzuew8znsfC47n8vO57Hzeex8Pjufz84XsPMF7HwhO1/Ezhex88XsfDE7X8LOl7Dzpex8KTtfxs6XsfPl7Hw5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw87XsPO17HwtO1/Hztex8/XsfD0738DON7Dzjex8IzvfxM43sfPN7HwzO9/Czrew863sfCs738bOt7Pz7ex8Bzvfwc53svOd7HwXO9/Fznez893sfA8738PO97Lzvex8Hzvfx873s/P97PwAOz/Azg+y84Ps/BA7P8TOD7Pzw+z8CDs/ws6PsvOj7PwYOz/Gzo+z8+Ps/AQ7P8HOT7Lzk+z8FDs/xc5Ps/PT7PwMOz/Lzs+y83Ps/Bw7P8/Oz7PzC+z8Aju/yM4vsvNL7PwSO7/Mzi+z8yvs/Ao7v8rOr7Lza+z8Gju/zs6vs/Mb7PwGO7/Jzm+y8xh2HsPOb7HzW+z8Nju/zc7vsPM77PwuO7/Lzu+x83vs/D47v8/OH7Dzh+z8ITt/xM4fsfPH7PwxO3/Czp+w86fs/Ck7/4+d/8fOn7Fz5He5DfQ5O3/Ozl+w8xfs/CU7f8nOX7HzV+z8NTt/zc7fsPM37PwtO3/Lzt+hPOWN+nfs/D07f8/OP5gkt12+QSY2DGjW8SM7/8jOP7HzT+z8s0lHa5U6+OszO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/wc5j2XksO49j53Hs/Cc7/8nO49l5PDtPYOcJ7PwXO//Fzn+b1F1uREKq/T9/TL2/4Q87T2TnyAIv6h2tlcTOk9j5X3b+l50ns/Nkdp5iktoGnsLO/7Hzf+w81aQK7ewTviFjknAATha1mPNjSzxS7Y9ytvR+UKTaN+9ikfq1q6WdI5VzN0s7RyrnaSxq8O5OnVlI5dzd0s6RyrmHRXI7wTKkcu5p0fq+uOLIQj6Pb2X1skhe/k1ItV/E2yL5051Ivb/b0vs+kGPktilfi/xkASHVfd20Fql990j89ZRK6SyqjK+7iLydVe6QtEhty0d+icKB+ls0RP4DKUu/YYCl98UiM+1dZbWwWfq+OVI+PdDObul9YUi1HyHQIrVtDtlHbhMMsij1wYYVcUj8z+7+wRaFyw9GblwRd29oiEVFJACk2m4baun792Eoz2S5EcgidZrhKE8c/gykOizDIvl185Ar5ceYlt6XgTycEQdqoTz1P0g9r+Gw9H4YpHKe3tL7BpFqn2gGi/Q+aouyyA3aGS29fxWp9tdksvQ+MaR6bCKzRfKynkeqfdFZLL3vCSmLt3ZWi0x1AS3ajOKIymZp58hzOPxm2S2qKx8jQar94Dks7RypnOe09D5kpF3+I5dFqy3USCS+ZV3f3JZ2jlT7FPNYdH8oTggpq/HIvBbFyuqZz6IRsmIjVXXKb+n9m0j93IhF8rLOQarLVdCiG7gMi5CqeAtZJIttBXKALI7CFsnTXIdUh1/EIoeEglT7jopa6mN2Iy/IXxezqL48UKRkW6q4pZ0j9T4/i/cxWRQkC7ykRWtR3S8jlfNSFqnHYpA1ZcUubdFDVKd7SHUfv4xFP3H5nyJHyQ8ua2nnyKXLJACLcsgKhpTF1lVY2jlSOSd2Tuy8PDsvz84rsPOKlt6XgNyOWulRyaJSCpRFlySzyuwcqVhUsaiXOiFL72erys6RqtpVY+fV2Hl1dl6dnddg5zXYeU12XpOd12Lntdh5BDuPYOe12Xltdh7JziPZeR12Xoed12Xnddl5PXZej53XZ+f12XkUO49i5w3YeQN23pCdN2Tnjdh5I3bemJ03YedN2HlTdt6UnTdj583YeXN23pydt2DnLdh5S3bekp23Yuet2Hlrdt6anbdh523YeVt23padt2Pn7dh5e3benp1Hs/Nodt6BnXdg5x3ZeUd23omdd2Lnndl5Z3behZ13Yedd2XlXdt6NnXdj593ZeQ923oOd92TnPdl5L3bei533Zue92Xkfdt6Hnfdl533ZeT923o+d92fn/dn5AHY+gJ0PZOcD2fkgdj6InQ9m54PZ+RB2PoSdD2XnQ9n5MHY+jJ0PZ+fD2fkIdj6CnY9k5yPZ+Sh2Poqdj2bno9n5GHY+lp2PZefj2Pk4dj6enY9n5xPY+QR2PpGdT2Tnk9j5JHY+mZ1PZudT2PkUdj6VnU9l59PY+TR2Pp2dT2fnM9j5DHY+k53PZOez2Pksdj6bnc9m53PY+Rx2Ppedz2Xn89j5PHY+n53PZ+cL2PkCdr6QnS9k54vY+WJ2vpidL2HnS9j5Una+lJ0vY+fL2Plydr6cna9g5yvY+Up2vpKdr2Lnq9j5ana+mp2vYedr2Pladr6Wna9j5+vY+Xp2vp6db2DnG9j5Rna+kZ1vYueb2Plmdr6ZnW9h51vY+VZ2vpWdb2Pn29j5dna+g53vYOc72flOdr6Lne9i57vZ+W52voed72Hne9n5Xna+z1LbGDfsY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnSPrVul5telxdn6cnZ9g5yfY+Ul2fpKdn2Lnp9j5aXZ+mp2fYedn2flZdn6OnZ9j5+fZOXJvw4tufhcsvb8TqZ7PuYjytOxlFiHVc2CX2Pkldn6ZnV9m51fY+RV2fpWdX2Xn19j5NXZ+nZ1fZ+c3LP38BFLt/76J8lyQ3PbyTXYew85j2Pktdn6Lnd9m58i08sGGOxbJx99e3mHnd9k5Uj2HcA/luSs3fUO2kA/K3Ud5PveMjkcOlK8HKE+/d5OTkHM2RC0b/tAi9Zz2I4ufH0B5dl91x/2xRSi9d5ORDZYN/+P7xNLPGyHV/uinaDfbXs6/ADklqXiFsP/QbsoPRKrnop5Z+rk1pNyOnPW5pZ93QD6eeHNX7hcoT/nFyPgD2+4VfInyrG182IeUh1f8lUXya48ic8kCfI3yxNtOIyvJ1xu0m0/2NLyIVM/lvrX0Pnuk2k/6DuUpTwQ57xbe+N7SzwMhdzodftD8A9rNRdk/PUeqffsfUZ7yhJHq+b1PFqGUC39BpsrHuD+j3cyKM0Gqxz2+WPq5RaR67uyrpZ/3QkbKB8S/od3E4bl9R7uJr52IlB/n/cPSz+8gA+Qr1iK523ceMo+sqHGWfk4QKRlZP9Fuym3HyDbyjfHsHDlMVugEtJvRKEGkrFb5f1kkHz/Yg1TPrfxGuykfw0eqbe1/0G7icpxEymKukGjp/b1IZ/nFSWg3cbpXkeo5979oN3F4t5DqeYZki+THPUhm5yloN//DC9m1P67wP4tw1VzeICeAW8dUtJuyoJFq/7STg/LJNyL1czoO/Twn8r58bMzFQe3kBUGqfdCuDhohP9DNQT64vOOR8rJ5pnHofe5I5dzdoZ0jlXMPh3aOVM49HSQPbwXSVV5gLwfJj1uHlG/L7u2grVvwQpaQkHwchKt2cxeyvqwIvg69nxwpeZRK6yD1/DZSPX+SzqGdI5VzP4d2jpTVpZa/g2Q1uIl8KB8DDXCQvGz3kPJyNLY5+LkRh3Zud2jnyBwScKCD9svHVpHKeZBDO0cq58EO7RypnIc4tHOkch7q0M7DHNo5UjkPd2jnSOXccGjnSOXcdGjnSOXccmjnSOXc4dDOkcp5eod2jlTOMzi0c6RyntGhnSOV80wO7RypnGd2aOdI5TyLQztHKudZHfw8jUM7z+bQzpHKeXaHdo5UznM4tHOkcp7ToZ0jlfNcDu0cqZzndmjnSOU8j0M7RyrneR3aOVI5z+fQzvM7tHOkcl7AoZ0jlfOCDu0cqZwXcmjnSOW8sEM7RyrnRRzaOVI5L+rQzpHKeTGHdo5Uzos7tHOkcl7CoZ0jlfOSDu0cqZyXcmjnSOW8tEM7RyrnZRzaOVI5L+vQzpHKeTmHdo5UzoVDO0cq58TOiZ2XZ+fl2XkFdl6BnVdk55XYeSV2XpmdV2bnVdh5FXZelZ1XZefV2Hk1dl6dnVdn5zXYeQ12XpOd12Tntdh5LXYewc4j2Hltdl6bnUey80h2Xoed12Hnddl5XXZej53XY+f12Xl9dh7FzqPYeQN23oCdN2TnDdl5I3beiJ03ZudN2HkTdt6UnTdl583YeTN23pydN2fnLdh5C3bekp23ZOet2Hkrdt6anbdm523YeRt23padt2Xn7dh5O3benp23Z+fR7DyanXdw0P+krfpA</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>eJzt0jFLAmEcx/FrCRuFXkAvwMGhzeWca3BwU8IgcHBpkEa5liBCFCdtanANegm2NTo4uAQOQUujkA6C8P89F9xTx7m4xPezfHm85/53J08QAMA+nIVqyWvMraNq+Pf+tHm7Pidtjvf8tPfK3Jf1fbve7++7VK/bavigrkZq/kXtvVonxbm1cfphLRaW1sr9xrqqH5Zt//rIOqzkrPOvA+v0+Nv2RcGn5r7PtM5PtL54Vsdjdfqong/UqKe+ddVh373vnbq4VZ867nta6smN2rhK/h7W3H1NN7+abHw9/v9+zk8peT2uf778eWnzf53LrPMJAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMD/sgWCbk1r</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=255.233 Q3=255.233 sample=20 experiment=1 RT=0.55 ce=-10.00 name=C16:0_palmitic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt23VAFE0YBnBKWoE7enfP7u52XjsRA7sDu7u7u7u7u7s7sPOzu0FQQZDvmZn3/vgePzjudmfnN7WzkcaHfaNr1xRrD0Zvn+HVUpw8V/mJY0sHsW37w1YDInuIWleLxnVI6iPOipH7bNcHiJL7Lg04sXKI8DJWtMx5dZRIePJgdN8q40T6cmd3OB2eKHxSk2/VKDJVFGvz4d+DDTPE7pcf5+/xnS1GPio7uPGm+eLb6i4vV4olonmXhdXf318hVrUfX3ST/xphCxQXnu5fJ6qf2Xrb1XeTOHZUvraKEVaJjpU67xRl3279ne/Qbv75XrE8YP3x0yEHxIal5zLs6nNI7Mz6ZuyK60dE3ozp47s1PC7u1pl1PvOzk8J37uYxdaufFjtSpmSavfaMqNOp25mYlLMi7nZEW//G58W8svld6uy5IIrhIGb6XhIPbHHlb3a4LKYv7GEbe+qKUMVjXBPH6y3IOKP/ddHq+MDT12/eEM7ztu1yD4oR9aovH5XtTIxY8296nSo9b4mfe0dk6GDeFpU69/wx/vJtMd/R+tT6AXdENq+dNfwK3BUHfqbcHfTxrihbN7VKjrX3xPXStW/Nbn5ftMy2vNnfoAfim/+Xt+1vPhD9e3xtFDj5oUjTpMyr4RUeiQUVp3Z7//eRyJbv8a86+x+LbVOfdHLq+USUHZDrZ+ccT8X11oOH33n5VLSsecmj7NL/xLeiIXM2RD0T/eeGujVM91ykGdFxxsmLz0XNIs2mzaMXYl2vst4P1r4Qg979GVrG46W4lelJ4oguL0UudYIvxdilKxNcC74ST+XlnfdKFA1sHzvp9yvhNSV9u29NX4u2F5xfFjjxWlR1HeSTJccbsXHwxZyl5rwR0w6Ujcqb/EZ8zjO9T8UOb0VMZ9flxWLeiv0b5BveiSDr8lux7p1IaiL8C6d7L5rGzMhXfdB7US6tPNP3InONoWPz1/ogUParKx/4IDql0LUSGT6KS31nfao95aPY3EIW1Efhn+51s8rdPomBJ1aG5//vk/ivR/NHobU/i0rpwxa5nPwstt681/BL/i8iYNScoPurvohBBSLvngz4Kp6/8EGN+Coqz75Ud+7Pr2Jb+fH+w9t/E/4r2zQa9fSb6JtcdsXYqO+iVd+MnWuc/y4yqdcP8eDrhfnT2/wQZfPcXfJu+Q/hknti8KMbP8SRx1NSon//EPd9FzwobsWK2HKrd3tVjBW9VEWI1fV/Wqz4W7xC2PHtsWJi7PZMB27EioGyon6JFR07zzMK+cSJxus9QnvljBPf8DUvK8WJKx+6N9naLk5s8K6Stf+YODE2jwMfHSda1f51zPNUnCjd68ak28/iRNOEwziCOFFMXm7zp7CV7NLHUfqn+Na0QrkPTX6Kq8PCvfcM+ikU2yU/xYuBuODHforwuo+NYS9/ivq5bpQb5h4vbna4975L7njhRZe9u9aJFzjavF37x4sTDc7db7IkXvzJdyixycl4UdBzm9n0TbzYXmnv+WpeCWLhLL8hxXIn6PYhIkF8/4ZXjwTxI9Zcd2RugijcuOXzfocS+DolCMXc7ZfYffLLijJ5fonPx316jGj4S2Q9lqvsqVG/hNmo2AT71l+igXzd+yVm1u+XZWHqLzHh28jun3L+Fqfkn0X9Fomf5B/+FoU/Pn28c9Nv0f39382xt3+LDW/DBxdO+S1evC5ZrX/2PyLsVeOQg3X/iIDh7Vt7D/sjzoRkq59m7R/Rd8/7yk5X/ogsEZtL/P3xR8iz/xWSqOuPSBTPshcp1qZTonCUnp9YZF4il3uieHWui/vVz4nivGwmg5NEXlnNyydxfUwSbc7eyR29OEm3ixeSuJ4liQVVDmfcm+GvUIcZ8VeU2L3kdNyQv2Jyh6mzbZv+ClyNNoXu/RW5b3UrWM8lWQyb0MK5T/5kXS+bJ4s2UfWyr5qcLPZ4Vfx98kCycD1Z+OLz18kiShaPf4p48x0FXipF9Ot6ck219inC7f20HF+npwj5MTsPpwivu/2P9n6bIm5uR0MY8E8ce/GuYwr9E18GvL5yodc/8WjztY2rV/3T1z/mn+hRZNRBckkVo6qdHG6VSBXAgyqZqj2uShXloGTg7VTxUVZTFyeaO64RarATLclbpcaqfE7U4qDRqFgVJ8pQPrbdtRZOJL+lbX8n2hi1bPifaU6U7WTjuKnrnaiKLMYTTpTp4dXLKx44kWzte/5wotlN0DB4OVO1JfV6/8roTE5P7tY/UcqZpJbHdZ1J1YfOzjQIrXHSaGfK2t9liedSZ7qTo3j74H3OpNqDG86kmu8PzqTaPScXcv/6Yc64EBdqC+1d87mQqS6cCz24tPRjzeYu9N0evrRAPxeSrZ3XdBcqYaFFXu9C25Oadz9/woWeHdpTcNlDF1LtY6wLvWmJhsLblWTxRmd2pV8RE0u7lXalww+a49BdCVe1QYEuriQ+e7S9MNqVtCdXQmWv+XWPK6lqf9WVfvd/sSzgrSsVOj128Jp/rpTuRIHFuULdqLq8cAXdKKv76PkVa7rR8deB1uVoN2pwetO62qPc6Cs43F3iRuOHxextst+NrKbtSz+/6UaTtowf+e+DGxVteaS6r0saqtD6bUwmIw1BMRreNBRT6eGP+BppaHd/1Mw2aUg5HZSGDpTKNqjAzDS0sOub6/Hr01BY7W0ddh1LQ0kjuhzrdyeNPp9PaehfxaSvn53cCbgr7gpxp5Mfe01snd+dlq3JfDi5qjsNaXb/06LW7tSw8VjvjEPcCX+Va/Ncd9rlioq53Z2mOaEDveBOqlt84U6q/ia5U2XZrAR60IYBi/v1yOtBMenR0lT2oKRLpwL/tPCgLH3uvikzwIOKfPGeNXS6B1XYUjrnhvUehMFF0etHPcivgRyBeJDqlz540Ijdb0Jq/vOgA63qZukT6Em1mu/7ujqXJ8ne6qrwpHftb051ivKkylX7JPp19iTVnY3wpHZNd8wuPteT2qgD96T1OYM6pj/hSR8y3FseeMeTro9flzPovac+vyRPUpctrRfl2dmz1NOMXqT6/WJeZAwuPHxyTS+6WLP45PKtvShoWo1Pbv28qP21FjUvTcT7oie1a7HMi9SwZKcXlZEd0Fkvks1TjftedCXt4jRfP3jRq8I44b9epPtNb1L9WgZvmhSPhqawN61C65qlijctWYxXE29a3JtKTOvpTU8xShg9zpsqy8u92JtmrfpT8N0Obxouu4Vz3nTpVcB3+2Nvanyl0Lnd37ypilONho1dfWhQgyGjnEN8aLrrmTbDcvsQas+TxHI+tPzL4IBR9XxIdTvRPrT9XkGcug+lWTunlPN0H2opO75VPiRHE8f2+RAKA7J9aFjI0+Rtz31odce9n/om+FAHjDYdvr6Uttbo54sz+9KefD3WOpfxpUYBzTp2jvKl5J9V0RT6UsVJ5QoVGO9LspuasNyXem7I3/vWAV+yXw/OnDXGl6q/2XR58Bdfkr31I4+0hFp5qmTmtHSnz/Rji8ulpW2/ZceVVvvon1bXj9lpqfTzyOkLd6SlCwenPCx1NS3JUd+992lJNT9p0tHTKrImpKNEv48Hd1ZMR6q/bJOOUGtGVhuZjprPPJOQY1k6GjHtcFevw+lo1eRdLz/eS0dnJmxsdCUuHcnR6BY/P+oom/fcfrQ/6O/Vb9X9KHpL66h6Hf1I9YPj/Eh2F2Fr/GhBpwOhOU/7kWpfX/jRk4r3zohUPxqHajXd358+5cTALKM/jXJe+Di6kD+9311/cWRFf5LFeK2+P6nxXDt/ujL4S9S7vv50qhla3rH+dFAOx+b663q11p/i5PBjjz/d9zs3zfWMP8nqWOSWP916OG713+f+hFpe7uw3f9LjCn+SzXw93wB6jWoSbgRQdnmiOQPo7+hFqGEBtBXNTKfKAZS7LUZ89QJIju6etwwgNS7oGkBq3DgwgO4sPNTpydgAWl0BF3RWAN0IQ4Euw+f8CBuQZlMA5ZAVcW8ANVy5dfvDkwE0dkC/6meuBtCuCIz8HwTQtXV9u558FUADIh3BXb4G0OhsKOnfAXTUBS2ws43GFUKL422jSLK3OWu3ETr/8/tMm24fstqojBzA57NRh99v2qwuZqPW3sk3TGGjqZgVZKtq0+1epI1256ZvRRvZdHvf0kZD5MC+g40G9DbSvuiOz1PjIhtdqIaGeaiNqksoo20kZwETJtoo464+nWZPt1F/NIsL59roz/uZDdcstlGtH61XbFpp0+3ZehuhkZl2eKuNNjWS8GykhpMHbTRy5vsM947bSPXvZ3Eccpx12aZ93rARJitnwu/atLtHNmrUDCOpZ/g5RuMN3thIttYnPuLnX/Ifzf7dRrL3nxVv0w4SbdRw+I4DbVPxc9d8+6+62UnNR7zs1A3NfdZ0dqqTHNr3gc3O/aSdSsgLZ9hp8YvTZeqmt9NVdONFM9spZVv6SWHZ7ZR/7o3tKbnsul3JZ9f1v5CdMAkbvqOYnWQzsrCUndA5ZB9azk6Hqzyr1aqCnYwoz1tVq9gpotTBX7lr2GkkZk3+te30Ii8+qa5du2pip1q2lmhK7fRJdi8d7TTp5q7c1AOfK1/97aSG2cPsNMe26fOAsXYqgNZh4hQc3y90qLPttLQBKtQiO+l5q53kr7est+vy3GEnUzYAR+z0EqeXesFOclaZ7Y6dusgDfc7H9wmfezS7n0+Cnd6g+32baqfL+Rckt/UKpFGZ5916YgskPf4OJNktXc8aSGo+mD+QJoV5jDtbIpDU/KZCICU4oeBrBtLWePyjQSCpaXLLQCqC0VzJToH06ch/h/b0DqQYOX0ZGkgTLked3jQuUNffGYEUt6tO1yULA2nzutpkXx1IrRbVCpq2JVD3m/sC6e+Gs9aY44Ekh5dJFwJJzvr6xgSSY8zxZV8eBepxyutAmtIZJ/glkMrLgdqvQJK1/25qIP3XNV+WCK8gmtsqT+J5WxBVlxMEM4jkbPVg1iDtJH8QdcsnR85BpOa/FYLIsyxKumYQqWFLgyCSw9JZLYMod+j8u16dguilnHb1DiL8dMTfIUEU8XNG/X7jgqhwOs+JsdOD6KOze/MuC4NoFWadr1cFUUP5gy1B5Ptf6uO7e4NI9o4Rx4No8Lm/4y5cCKL8ciATE0RBsqF/FKTr5esgGrqp6Z/334Moz5RKM5YkB/H5BJOeXweT/LrtmYJ5vBJMPa82texlgimDghZMajraIJhG9wp9nqttMKl5Xo9g2uvbe9vUocHUTk6sJgVToBxAzQumc7vRca0OJjXP3hGsx6FHg+k+Lt/Ri8G6P7sbTJ4/K6UYL4NJzUNjg0mPm0MI/x3jYQ8hNd/LHEJ6/SREu68eQpHyQrUMofFyeN0rhI5kedng4+gQ0vOrEB5Hh1CeaMx0DoYQJs8bvC+EUF45XbwVQnrehfePR0X6EEJdZMHHh3A9DqEWqqMLpQdr0YGEhFLdrksGLssUSpJHvnyhVEl1qKF0AizqVw4lOYp5WyeUdqMaDmweytc3lNY9P5FuWd9Qcmz8UC3fyFBaJJdPpoRSQDFZc0NJDgdfrA4lOXrqsz2UIqMh4nAoXcrTqerCc6FUIX726JwxoaTWd56EUtGxbxMi3oeSGh7GhVJOObH9F0prHrVd5+YdRubqac8WBIVRh/Klj2TJGEYvPKPjD+QJI7WeUCJM9zcVwyii1as13SPD6GI21KSmYURyYaRDGB3ZLweEYYTR2dQDw8N0eU8Oo+yyws0Lo1V33Et1XxVGn/ui594aRu3lgOFgGD1z8ZqS/mwYt8dhdGt2838VH4dRzSYTStx/G0bnM6ADiA3T5ZYYpvt3l3BSw1bvcN3/2sKpt2wQjXCS3cLIzOHUSw6Ucofr+UeRcFqBYppeJpzk9ONtpXBafrF2dLmIcH3eDcJp6ZArjb63CNftaIdwuoJmYl2PcKqeLzVjyoBwkqtADUaGU7WXQwJ3TAyni0cOTXefFU5V5v1yb7UonC50xwRvVTipdabN4RQvh1u7w0ktexwOp59JaEjO8HFf4eO+HU6rdjyZnvtJOGWQDdvrcFLLJp/DSc7yK/4Ip4hxaSN3xoeTr4STGE7XRmICmRJOU1Oif79xNnR/6m5QyQxoeb0N+rO85D+Hn0FyujjBbtCGU9+vxYYYJKtHE9MgtS6QwZC9+p3cWQ268+yFz9ycBs1BsSflNUgNywoZRHJ5sphBclhYp7hBcvh+B/kBw+iGJQzqLyeEyDty2a+kQXI69ARpQVHbUgYNDdxR9SVSLm+0L22QWm9DZpYD2TIGyW79K1KumvUqa9DV1ZUP/EQ2lh1LOYPHxwb1xduGCYOc5IsMUuuISAPDc/fyBm26ICcChp6XVTDobEKO5jORdeQbKxqEd2GiZxBmW3NDK6F86r9evxQ5/nPdQ47KBtnUwpjB432D8u5Z/n0jUs7yclc19PVG3hv0MVvBagbJs92H/LERX1zdoOFCfrNB6jRqGNopUs8vDZIfdwGp3lYL5XkNL6ScVkZGGKTXLwzd3tU2dPuIlMPh5pGGnn8it+BdbesY3F4Y2kVdg+odcuBUDJLD7x71DFLrNkg1v6xvkBwG/UbKyzEkyqA1KOYUpCy+0Q0MksXi1tCgGrKCIVW71cjQPpF6XdegkbIAkaoeNjF4XmRQdrWAZZAaDiDVvLiZQTd/o6CRalzf3CCUnuc2pGo/Wxjk1jBd3j1IeXWLtjQovbwgSFVdWhl6fIHU8zyDonDZziHV5WhjUE954ZDJsvjaGiSLJQYZIk+3ncHjd4PU4bU3SDXbyFry46INkm97jeygXgbFy2VkJK7a1G4dDUonKwJymVwO74TyLIKBN3LitTED+nU2qJJcPkbqdV6D1LJAV4O+oFqNRw6WJ9zNIHf1gYZe/+hu6PEsUl6OwB6GnjchL6P4wnsaJItlOVKeboZeBvVWQAz6h8PL1tsg+bWbkXKZLkcflCeG9VuRbr6H7ubri/Jcm+39bqRaZ+uH8rzt6nsIqZYx+xuklpmRUZjtlB+A8sQw9xyyh+w4BqI8W6ElRE7+7TU9YpBBwTMHrYxBrsPH1h+M8pQLLki17jIE5fm10MenyEeY7rQaivKUC0BIPY5EedbEG5BqOW+4odtZpOp/Rhh0YPPGYQnIiuXxTSMNPW9CqnnvKIPkMo/zaJTnypiH45DuxcVnjzEGyWHyFKQc5qYbi/KU9yOQ8rQDxxm6H0Q2xGGGj0d54uuXI9U68gSUp7x9gVTzlYkGhR5J3b8ZuaEuSmKSQWodFCmXlQpNNqi2fAPyyc4ctpJTDMKnZzmGTHiWpriYauj5FVItf00zaPl6fBAyt1yYmm4Qrs7cG0gcxfq6M9Bu4rLcRRbsl9q1/kyUp0+PEfeRNdc+ndVkFsqzlPwXyvP24f2tZqM8O2NGh1Tz1TkoT7mMgVxaAB8w19DzPaRal5mH8vx9slgCUo2/5ht6vIZU68MLDL0esdDQ8xKkWm9chPKUA3jkjr1FrqRdjPKUh4FU6xpLDD3/QKr561KUp7yBgFS3FZahPB/iwJGh6hcGyVHWZmThlRPG5FmB8sRR7URG3Gi3sdBKlGc0ThCp10FRnvN2PjuK1OvzKE85rUbK0WblNQbJuzOXkIemyC9CeWaqGnEDKYup7jr0Qzj9u0h5Wo3Wo3+UBYb0lAe0waD5+PgXSPln7TaiH8L/vkOq+z6bDL0+hFT3DzajHyqDXyBVv73FIFytyESkWsfZapBc3UxF4mQmjNmGfkh+wHaD5G8nISPlwvoO9EOzmsTMQHaRF2qnQeryINU4dBf6IVmcSFlMjt2GHm8i1bhqj0HqcJHyMHLtRT8kPx6pxjf7DFL/i/SWF36/QaglKBJDr+8dQD+k1rnRD8nbKQcNebVwpQ09vjuEfqgjLgBSVsfIw+iH1AegH5LD9yMGz+sMUveLjqIfUhfKIHl52hzDuEF+EfI5irPjcYO61ZdnbpC6r3AC7SZOKxYZKAvspEHyMH4j88sJ/yn0Q3L9HKnm/6cNXk9BuykLFqnuA501aIT8BdK3h/yXQYoBUk1HzqMfktUWWV6doEGqmiGbo/pkuoh2U1YLpLrNdwntprxQSLU+fhntpvwipCzOIld4XIXU61oGqdNCvpTL/dfQbsrDQMqPr3od7ab8M2SwqpgGSc4xN9j5TXZ+k53HsPMYdn6Lnd9i57fZ+W12foed32Hnd9n5XXZ+j53fY+f32fkDdv6AnT9k5w/Z+SN2/oidP2bnj9n5E3b+hJ0/ZedP2fl/7Pw/dv6MnT9j58/Z+XN2/oKdv2DnL9n5S3b+ip2/Yuev2flrdv6Gnb9h52/Z+Vt2/o6dv2Pn79n5e3b+gZ1/YOcf2flHdv6JnX9i55/Z+Wd2/oWdf2XnX9n5N3b+jZ1/Z+ff2fkPdv6Dncey81h2HsfO49j5T3b+k53Hs/N4dp7AzhPY+S92/oud/2bnv9n5H3b+h50nsvNEdp7EzpPY+V92/pedJ7PzZHaews5T2Pk/dv6Pnaey81R27mRq50jl3NnUzl1M7RypnLua2jlSOXcztXOkcp7G1M6Ryrm7qZ0jlXMPUztHKueepnaO1PfBTO0cqZx7mzx/MrVzH1M7RyrnvqZ2jlTO05raOVI5T2dq50jl3M/UzpHKub+pnSOV8wBTO0cq5zZTO0cq53ZTO0fq+yymdo5UzoNMXn8xtfNgk+8vmLzOaPL9Q1M7RyrnYSbJuzHTkIuPLpjlF25q50i9Hm1q50jl3DS1c6RybpnaOVI5d5jaOVI5T29q50i9z8DUzpHKeUZTO0cq55lM7RypnGc2tXOkcp7F1M6RynlWUztHKufZTO0cqZxnN7VzpN7HYWrnSLk83DWnqZ0jlfNcpnaO1PdlTO0cqZznMbXzvKZ2jlTVIp+pnSOV8/ymdo5UzguY2jlSFVNBUztHTpnxJi59IVM7R6r10cKmvp+H1OsVpnaOVNPxoijPvZ/67kcm1GgyoUQxUztHKufFTe0cqddrTO0cqZyXNLVzZCuPG2F1S5n6PidySLGt5RqVNrVzpHJextTOkTvnRU9qVxblKfdpIJXzcqZ2jlTOhamdI5VzYufEzsuz8wrsvAI7r8jOK7LzSuy8EjuvzM4rs/Mq7BwpD8eqatKRrl6Jq5Dq/mQ1k+SPNyLVfcbqKM/LZytsR6r7rDVMwrs77kWq+yk1TX3fAKn2T9RCecobAMhr3/CHESbJZajzyPfWxg/VaqM85Y0npLNcmIk0aSYu522kKb+gjkmb7TGVHiJlsTari/KssL3zM6RaV6ln0rPeqAHIbvJA6qM8cTifkPJrukeZeh0Uqe7rNTBJLj/9Qh4D1yENTb0ehcS7i4xqhPKUC46NUZ7xqBhIvc7Pzpuw86Yoz/pp1s5BymoU1AzlOebVxUVIdd+ouUnytscK5Mdq+IIWaDdfLAtYj1T3b1ui3URxbUWq9chWaDdxeruRJeWBtDb1+hdSfk2pNibJPz+OVPse2qLdvIoCRU5qhwNuh3ZT/gApb3NGtDcJtd8eg1TrotGmXv9DytusTTqg3ZR/iPyZ/nbPVh3Rbh6kMa+Q6SJRQzuh3cRl/9CJnXc29f1BZEUUf+8upr4/j1Trs11NvQ6JVLenu5n6fmt3tJs4nHHIDPgajx4myT+fgiwtL3hPky4tQoEiJVd7L7SbF/EDZC8Jq7ep75P0Zud90G7Kgu/Dzvuyc6Tad9PP1Ot7/dh5f3ben50PMElepqNIfwl1INpNuU8PKYur0iC0m/IdSHU/ejDaTRz2jcHsfAg7H8LOh5okf/wYqe6TD0O7KQ94GDsfzs6RV8Cm8whT3w9DvkU17zkS7aY8MaSslv1HmSSrWyJS3c8djXYT1SMVKS/7mDFoN+X+oLFoN+UXINXy+Di0mxICUu3TGG+SLIZ5SJssqAloN+U2jAnsfCI7n8jOJ7HzSex8MjufzM6nsPMp7HwqO5/Kzqex82nsfDo7n87OZ7DzGex8Jjufyc5nsfNZ7Hw2O5/Nzuew8znsfC47n8vO57Hzeex8Pjufz84XsPMF7HwhO1/Ezhex88XsfDE7X8LOl7Dzpex8KTtfxs6XsfPl7Hw5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw87XsPO17HwtO1/Hztex8/XsfD0738DON7Dzjex8IzvfxM43sfPN7HwzO9/Czrew863sfCs738bOt7Pz7ex8Bzvfwc53svOd7HwXO9/Fznez893sfA8738PO97Lzvex8Hzvfx873s/P97PwAOz/Azg+y84Ps/BA7P8TOD7Pzw+z8CDs/ws6PsvOj7PwYOz/Gzo+z8+Ps/AQ7P8HOT7Lzk+z8FDs/xc5Ps/PT7PwMOz/Lzs+y83Ps/Bw7P8/Oz7PzC+z8Aju/yM4vsvNL7PwSO7/Mzi+z8yvs/Ao7v8rOr7Lza+z8Gju/zs6vs/Mb7PwGO7/Jzm+y8xh2HsPOb7HzW+z8Nju/zc7vsPM77PwuO7/Lzu+x83vs/D47v8/OH7Dzh+z8ITt/xM4fsfPH7PwxO3/Czp+w86fs/Ck7/4+d/8fOn7Fz5He5DfQ5O3/Ozl+w8xfs/CU7f8nOX7HzV+z8NTt/zc7fsPM37PwtO3/Lzt+hPOWN+nfs/D07f8/OP5gkt12+QSY2DGjW8SM7/8jOP7HzT+z8s0lHa5U6+OszO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/wc5j2XksO49j53Hs/Cc7/8nO49l5PDtPYOcJ7PwXO//Fzn+b1F1uREKq/T9/TL2/4Q87T2TnyAIv6h2tlcTOk9j5X3b+l50ns/Nkdp5iktoGnsLO/7Hzf+w81aQK7ewTviFjknAATha1mPNjSzxS7Y9ytvR+UKTaN+9ikfq1q6WdI5VzN0s7RyrnaSxq8O5OnVlI5dzd0s6RyrmHRXI7wTKkcu5p0fq+uOLIQj6Pb2X1skhe/k1ItV/E2yL5051Ivb/b0vs+kGPktilfi/xkASHVfd20Fql990j89ZRK6SyqjK+7iLydVe6QtEhty0d+icKB+ls0RP4DKUu/YYCl98UiM+1dZbWwWfq+OVI+PdDObul9YUi1HyHQIrVtDtlHbhMMsij1wYYVcUj8z+7+wRaFyw9GblwRd29oiEVFJACk2m4baun792Eoz2S5EcgidZrhKE8c/gykOizDIvl185Ar5ceYlt6XgTycEQdqoTz1P0g9r+Gw9H4YpHKe3tL7BpFqn2gGi/Q+aouyyA3aGS29fxWp9tdksvQ+MaR6bCKzRfKynkeqfdFZLL3vCSmLt3ZWi0x1AS3ajOKIymZp58hzOPxm2S2qKx8jQar94Dks7RypnOe09D5kpF3+I5dFqy3USCS+ZV3f3JZ2jlT7FPNYdH8oTggpq/HIvBbFyuqZz6IRsmIjVXXKb+n9m0j93IhF8rLOQarLVdCiG7gMi5CqeAtZJIttBXKALI7CFsnTXIdUh1/EIoeEglT7jopa6mN2Iy/IXxezqL48UKRkW6q4pZ0j9T4/i/cxWRQkC7ykRWtR3S8jlfNSFqnHYpA1ZcUubdFDVKd7SHUfv4xFP3H5nyJHyQ8ua2nnyKXLJACLcsgKhpTF1lVY2jlSOSd2Tuy8PDsvz84rsPOKlt6XgNyOWulRyaJSCpRFlySzyuwcqVhUsaiXOiFL72erys6RqtpVY+fV2Hl1dl6dnddg5zXYeU12XpOd12Lntdh5BDuPYOe12Xltdh7JziPZeR12Xoed12Xnddl5PXZej53XZ+f12XkUO49i5w3YeQN23pCdN2Tnjdh5I3bemJ03YedN2HlTdt6UnTdj583YeXN23pydt2DnLdh5S3bekp23Yuet2Hlrdt6anbdh523YeVt23padt2Pn7dh5e3benp1Hs/Nodt6BnXdg5x3ZeUd23omdd2Lnndl5Z3behZ13Yedd2XlXdt6NnXdj593ZeQ923oOd92TnPdl5L3bei533Zue92Xkfdt6Hnfdl533ZeT923o+d92fn/dn5AHY+gJ0PZOcD2fkgdj6InQ9m54PZ+RB2PoSdD2XnQ9n5MHY+jJ0PZ+fD2fkIdj6CnY9k5yPZ+Sh2Poqdj2bno9n5GHY+lp2PZefj2Pk4dj6enY9n5xPY+QR2PpGdT2Tnk9j5JHY+mZ1PZudT2PkUdj6VnU9l59PY+TR2Pp2dT2fnM9j5DHY+k53PZOez2Pksdj6bnc9m53PY+Rx2Ppedz2Xn89j5PHY+n53PZ+cL2PkCdr6QnS9k54vY+WJ2vpidL2HnS9j5Una+lJ0vY+fL2Plydr6cna9g5yvY+Up2vpKdr2Lnq9j5ana+mp2vYedr2Pladr6Wna9j5+vY+Xp2vp6db2DnG9j5Rna+kZ1vYueb2Plmdr6ZnW9h51vY+VZ2vpWdb2Pn29j5dna+g53vYOc72flOdr6Lne9i57vZ+W52voed72Hne9n5Xna+z1LbGDfsY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnSPrVul5telxdn6cnZ9g5yfY+Ul2fpKdn2Lnp9j5aXZ+mp2fYedn2flZdn6OnZ9j5+fZOXJvw4tufhcsvb8TqZ7PuYjytOxlFiHVc2CX2Pkldn6ZnV9m51fY+RV2fpWdX2Xn19j5NXZ+nZ1fZ+c3LP38BFLt/76J8lyQ3PbyTXYew85j2Pktdn6Lnd9m58i08sGGOxbJx99e3mHnd9k5Uj2HcA/luSs3fUO2kA/K3Ud5PveMjkcOlK8HKE+/d5OTkHM2RC0b/tAi9Zz2I4ufH0B5dl91x/2xRSi9d5ORDZYN/+P7xNLPGyHV/uinaDfbXs6/ADklqXiFsP/QbsoPRKrnop5Z+rk1pNyOnPW5pZ93QD6eeHNX7hcoT/nFyPgD2+4VfInyrG182IeUh1f8lUXya48ic8kCfI3yxNtOIyvJ1xu0m0/2NLyIVM/lvrX0Pnuk2k/6DuUpTwQ57xbe+N7SzwMhdzodftD8A9rNRdk/PUeqffsfUZ7yhJHq+b1PFqGUC39BpsrHuD+j3cyKM0Gqxz2+WPq5RaR67uyrpZ/3QkbKB8S/od3E4bl9R7uJr52IlB/n/cPSz+8gA+Qr1iK523ceMo+sqHGWfk4QKRlZP9Fuym3HyDbyjfHsHDlMVugEtJvRKEGkrFb5f1kkHz/Yg1TPrfxGuykfw0eqbe1/0G7icpxEymKukGjp/b1IZ/nFSWg3cbpXkeo5979oN3F4t5DqeYZki+THPUhm5yloN//DC9m1P67wP4tw1VzeICeAW8dUtJuyoJFq/7STg/LJNyL1czoO/Twn8r58bMzFQe3kBUGqfdCuDhohP9DNQT64vOOR8rJ5pnHofe5I5dzdoZ0jlXMPh3aOVM49HSQPbwXSVV5gLwfJj1uHlG/L7u2grVvwQpaQkHwchKt2cxeyvqwIvg69nxwpeZRK6yD1/DZSPX+SzqGdI5VzP4d2jpTVpZa/g2Q1uIl8KB8DDXCQvGz3kPJyNLY5+LkRh3Zud2jnyBwScKCD9svHVpHKeZBDO0cq58EO7RypnIc4tHOkch7q0M7DHNo5UjkPd2jnSOXccGjnSOXcdGjnSOXccmjnSOXc4dDOkcp5eod2jlTOMzi0c6RyntGhnSOV80wO7RypnGd2aOdI5TyLQztHKudZHfw8jUM7z+bQzpHKeXaHdo5UznM4tHOkcp7ToZ0jlfNcDu0cqZzndmjnSOU8j0M7RyrneR3aOVI5z+fQzvM7tHOkcl7AoZ0jlfOCDu0cqZwXcmjnSOW8sEM7RyrnRRzaOVI5L+rQzpHKeTGHdo5Uzos7tHOkcl7CoZ0jlfOSDu0cqZyXcmjnSOW8tEM7RyrnZRzaOVI5L+vQzpHKeTmHdo5UzoVDO0cq58TOiZ2XZ+fl2XkFdl6BnVdk55XYeSV2XpmdV2bnVdh5FXZelZ1XZefV2Hk1dl6dnVdn5zXYeQ12XpOd12Tntdh5LXYewc4j2Hltdl6bnUey80h2Xoed12Hnddl5XXZej53XY+f12Xl9dh7FzqPYeQN23oCdN2TnDdl5I3beiJ03ZudN2HkTdt6UnTdl583YeTN23pydN2fnLdh5C3bekp23ZOet2Hkrdt6anbdm523YeRt23padt2Xn7dh5O3benp23Z+fR7DyanXdw0P+krfpA</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>eJzt0LFKQmEUwPG7OQUtSQRBOWhZyvXi5nSjJ2gI2toyuE/Q2BQNDj5Es+giOAji4FOID9AjBIXne4ao4fdb/nwczhm+LIP/oVoclft+FqfR6+VZ9LXejI4OWtH+/WV0dXMVnW9Tq2E3urvrRR/XeXQ8SO/nXerDpIjmX2lee0t9+U7701kn9Snd/di0o+8nF9Hb40b0sH5e/s5PAAAAAAAAAAAAAAAAAAAAAMDf+gFIdB+q</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=259.022 Q3=78.800 sample=20 experiment=1 RT=4.46 ce=-45.00 name=D-fructose-6-phosphate" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="292">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0TFOAzEQAMB7Sh7AEyiuSUeTIgUSxUUIgVJESERKmyfwhDyFp/AUCnsteblDiAYkZprVnnfttW8YAACA33E19vGvy3N+c+7zzXzdeb3Qfz1+fd4Pv7c50v5tjpRHfVuvfW+b/pyW5/51Xx+xrd+VOG5r/1TrdiWuHuv6IZ236/tin/j+/tTnsb4Y0/+Jfdu94r3qfMPt/L1aXcjvNc3nMW/OX19KXJ1KfD6WeNmXOD3U/eo9L/cLebx73LPOn9/t0/wAAAAAAAAAAAAAAAAA8L99AIBRSXI=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=263.104 Q3=145.000 sample=20 experiment=1 RT=2.43 ce=-15.00 name=α-N-phenylacetyl-L-glutamine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="348">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0rFKw0AYwPEgIvoCDp1KoTjaB2ghgo+QUTJUBx0aUhDs0CFCu0rAQboFunTTxT0P4CDiQ6SI0EcofF8ucEkPunT7/5Y/X7m7XNN6HgAANcm1b8+BznnoN9bu2mfWu85zPufOt8/Zc5/zPMfcaFBr+XmWao/fpcn6R/v/J/0OT65k2aIlve9fSIeDrvQm7khXZ+fS9uWR1E8LPff2Szv61PaW2tM37ceLdjLT/r5q87m2eNa2p/a8GZffo3yfWVL2wa75Pc0cP9pztd/M5n8Q2fsb789Vx/uu7hPZ9/ee7HuZ+wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADm4L2vBWLg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=266.090 Q3=134.200 sample=20 experiment=1 RT=1.65 ce=-30.00 name=adenosine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0iFuw0AQBVAfoUfoEcJKzYxNggpaUqlSQRSpqK1kUEU9Ro4SmGPkKAG7C3bkUVgV8B758mpmZ23vMAD3aRr756exz2hO6uN+cT32ZfNiX3vO+jOxL55rWl9fnm/UzaEu7pv1hf5Wd9rW/fYlLz8ld999PnyVfPkseXzv9zu9lXx8retNnDutzz3+ltz81XmHfv18COdYav9HzfY94tz4PZrsP2f17fzhHrT3SO/RrXuVzQcAAAAAAAAAAAAAAAAAAAD+wxXqMzbi</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=269.249 Q3=269.249 sample=20 experiment=1 RT=0.52 ce=-10.00 name=C17:0_heptadecanoic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztzy8SQVEUwOG3lFd0zWgvS5JmhiYKgkiRJVkwmj1YgiWIjHn+k4173hIE4fvKb84J587NMvgTtbL4ptc8pk6mh9SiPKXuF9X+EfN2fE69Dm6p8010sn7FfhWtH56py8Y7uov9cBRzu/us7t5jnkXzftzLWvFO3rkUv/gmAAAAAAAAAAAAAAAAAAAAAPy7DwSgLck=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=277.217 Q3=277.217 sample=20 experiment=1 RT=0.55 ce=-10.00 name=&quot;C18:3_n-3_(9Z,_12Z,_15Z)_alpha-linolenic_acid&quot;" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztzz9uwWEYwHFHcASJVey2XyLMDmAwuEJHiRtoYscksdm79BgduxgUCW2KlkHyPG5gMXw+y/d93uH9UyrBc6iM1kUsrtvo+0d2PzhEe5OfaLl9js6av9HlS8778Snn7l/0dZf7xfSS+2//2cU1Omzd5/4x723keZ35/dxadlj9zvvq+Y7PxSZa+VoVD30YAAAAAAAAAAAAAAAAAAAAAJ7UDeMzM0k=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=282.084 Q3=191.900 sample=20 experiment=1 RT=2.80 ce=-30.00 name=8-hydroxy-2_-deoxyguanosine" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0r0NgiEQANBvJEe4xhGsrWxsrIyViY17OYqjWIAmhxKCWr7XwMEdf2FZAIApsYvSWUce30Sb+jGvq80bxQOv80zWTeeP1qnt6H1683Et4/dDaS/7HD/r3uq/fK841vVPeZ/VOe/f/oPu/f6t/Xf1HLdtpBgAAAAAAAAAAAAAAAAAAOAHD9h4Hdw=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=283.264 Q3=283.264 sample=20 experiment=1 RT=0.54 ce=-10.00 name=C18:0_stearic_acid_" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="236">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0LFJQ1EUgOHLsw2WUULERJNIBkgTXvOKoEMIkczwwCaFE2QKDegEDmEpKTKAgqRQSGEpnpsVghbf1/xczuEUNyX4H77nh9Vvn9NR9Hp1HN1MTqJXzU60rM+in5fn0fVTL3o3uogW77n1Q+7maxht3OS+TnOX49y33f6i6EfTxyA62+a75UF+tx+7eX5/Gn25bVX7+AcAAAAAAAAAAAAAAAAAAAAA+Gs/zXcf3Q==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=305.249 Q3=305.249 sample=20 experiment=1 RT=0.53 ce=-10.00 name=&quot;C20:3_n-6_8,11,14-eicostrienoic_acid&quot;" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="236">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztzyFOA1EQgOFNegBca1fiSSpQq7DlBuAxSCQKgeoROACiR1iNKoaSimbZBDaBkGzStCEo0pneAAHi+8yfmUle8ooC/lb1+FztWp+sotXxIno9fMq5XUaLm5ecb1/zfvEevaz7aH+1js4ettFpl20m39HTs6/ofLy/jzbR8uAzW2bro4/o+WGX+/lb9G7Q5nv3TfWrDwMAAAAAAAAAAAAAAAAAAADAP/cD77EvTw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=307.264 Q3=307.264 sample=20 experiment=1 RT=0.53 ce=-10.00 name=C20:2_eicosadienoic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztz70JwlAUgNFUNo7iCDZxCntBsM8CDmAp2GrtDqIL2FooJiDiv1g4gPBuJrAR4Zzm49138yBZBr81fL3z1O4uNWtuo51NzG9larWuYt7bpy7nh7gfH6P9U9wPrql54x7nVXRZPOM8eUSLej46x347mrXi++oWe9Oy3pvV7y4u+Ze/CgAAAAAAAAAAAAAAAAAAAAB/4QMlFy83</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=309.280 Q3=309.280 sample=20 experiment=1 RT=0.53 ce=-10.00 name=C20:1_eicosenoic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="236">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztyrFKgmEYhuEfhRpykpAgsQbRMQPbTegcHF3bHBtEHMXByVXwEBoc3PIUnFsqWhqCIHTQhvD9DiKI61ru4XmyDP7Wav/dOnR48Rx9OXlN7bxHW72PtN99RhuDr9T8Jtq936Vf+yc6n2W3hz4c56KjzVH08aoQnVaL0f7NaXS+LkWb5bNodn0erbxdRsfLWnSyrUcXT6kAAAAAAAAAAAAAAAAAAAAA8F/9An6vJPM=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=343.125 Q3=59.000 sample=20 experiment=1 RT=3.80 ce=-45.00 name=maltitol" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt23VAFE0YBnBKWoE7enfP7u52XjsRA7sDu7u7u7u7u7s7sPOzu0FQQZDvmZn3/vgePzjudmfnN7WzkcaHfaNr1xRrD0Zvn+HVUpw8V/mJY0sHsW37w1YDInuIWleLxnVI6iPOipH7bNcHiJL7Lg04sXKI8DJWtMx5dZRIePJgdN8q40T6cmd3OB2eKHxSk2/VKDJVFGvz4d+DDTPE7pcf5+/xnS1GPio7uPGm+eLb6i4vV4olonmXhdXf318hVrUfX3ST/xphCxQXnu5fJ6qf2Xrb1XeTOHZUvraKEVaJjpU67xRl3279ne/Qbv75XrE8YP3x0yEHxIal5zLs6nNI7Mz6ZuyK60dE3ozp47s1PC7u1pl1PvOzk8J37uYxdaufFjtSpmSavfaMqNOp25mYlLMi7nZEW//G58W8svld6uy5IIrhIGb6XhIPbHHlb3a4LKYv7GEbe+qKUMVjXBPH6y3IOKP/ddHq+MDT12/eEM7ztu1yD4oR9aovH5XtTIxY8296nSo9b4mfe0dk6GDeFpU69/wx/vJtMd/R+tT6AXdENq+dNfwK3BUHfqbcHfTxrihbN7VKjrX3xPXStW/Nbn5ftMy2vNnfoAfim/+Xt+1vPhD9e3xtFDj5oUjTpMyr4RUeiQUVp3Z7//eRyJbv8a86+x+LbVOfdHLq+USUHZDrZ+ccT8X11oOH33n5VLSsecmj7NL/xLeiIXM2RD0T/eeGujVM91ykGdFxxsmLz0XNIs2mzaMXYl2vst4P1r4Qg979GVrG46W4lelJ4oguL0UudYIvxdilKxNcC74ST+XlnfdKFA1sHzvp9yvhNSV9u29NX4u2F5xfFjjxWlR1HeSTJccbsXHwxZyl5rwR0w6Ujcqb/EZ8zjO9T8UOb0VMZ9flxWLeiv0b5BveiSDr8lux7p1IaiL8C6d7L5rGzMhXfdB7US6tPNP3InONoWPz1/ogUParKx/4IDql0LUSGT6KS31nfao95aPY3EIW1Efhn+51s8rdPomBJ1aG5//vk/ivR/NHobU/i0rpwxa5nPwstt681/BL/i8iYNScoPurvohBBSLvngz4Kp6/8EGN+Coqz75Ud+7Pr2Jb+fH+w9t/E/4r2zQa9fSb6JtcdsXYqO+iVd+MnWuc/y4yqdcP8eDrhfnT2/wQZfPcXfJu+Q/hknti8KMbP8SRx1NSon//EPd9FzwobsWK2HKrd3tVjBW9VEWI1fV/Wqz4W7xC2PHtsWJi7PZMB27EioGyon6JFR07zzMK+cSJxus9QnvljBPf8DUvK8WJKx+6N9naLk5s8K6Stf+YODE2jwMfHSda1f51zPNUnCjd68ak28/iRNOEwziCOFFMXm7zp7CV7NLHUfqn+Na0QrkPTX6Kq8PCvfcM+ikU2yU/xYuBuODHforwuo+NYS9/ivq5bpQb5h4vbna4975L7njhRZe9u9aJFzjavF37x4sTDc7db7IkXvzJdyixycl4UdBzm9n0TbzYXmnv+WpeCWLhLL8hxXIn6PYhIkF8/4ZXjwTxI9Zcd2RugijcuOXzfocS+DolCMXc7ZfYffLLijJ5fonPx316jGj4S2Q9lqvsqVG/hNmo2AT71l+igXzd+yVm1u+XZWHqLzHh28jun3L+Fqfkn0X9Fomf5B/+FoU/Pn28c9Nv0f39382xt3+LDW/DBxdO+S1evC5ZrX/2PyLsVeOQg3X/iIDh7Vt7D/sjzoRkq59m7R/Rd8/7yk5X/ogsEZtL/P3xR8iz/xWSqOuPSBTPshcp1qZTonCUnp9YZF4il3uieHWui/vVz4nivGwmg5NEXlnNyydxfUwSbc7eyR29OEm3ixeSuJ4liQVVDmfcm+GvUIcZ8VeU2L3kdNyQv2Jyh6mzbZv+ClyNNoXu/RW5b3UrWM8lWQyb0MK5T/5kXS+bJ4s2UfWyr5qcLPZ4Vfx98kCycD1Z+OLz18kiShaPf4p48x0FXipF9Ot6ck219inC7f20HF+npwj5MTsPpwivu/2P9n6bIm5uR0MY8E8ce/GuYwr9E18GvL5yodc/8WjztY2rV/3T1z/mn+hRZNRBckkVo6qdHG6VSBXAgyqZqj2uShXloGTg7VTxUVZTFyeaO64RarATLclbpcaqfE7U4qDRqFgVJ8pQPrbdtRZOJL+lbX8n2hi1bPifaU6U7WTjuKnrnaiKLMYTTpTp4dXLKx44kWzte/5wotlN0DB4OVO1JfV6/8roTE5P7tY/UcqZpJbHdZ1J1YfOzjQIrXHSaGfK2t9liedSZ7qTo3j74H3OpNqDG86kmu8PzqTaPScXcv/6Yc64EBdqC+1d87mQqS6cCz24tPRjzeYu9N0evrRAPxeSrZ3XdBcqYaFFXu9C25Oadz9/woWeHdpTcNlDF1LtY6wLvWmJhsLblWTxRmd2pV8RE0u7lXalww+a49BdCVe1QYEuriQ+e7S9MNqVtCdXQmWv+XWPK6lqf9WVfvd/sSzgrSsVOj128Jp/rpTuRIHFuULdqLq8cAXdKKv76PkVa7rR8deB1uVoN2pwetO62qPc6Cs43F3iRuOHxextst+NrKbtSz+/6UaTtowf+e+DGxVteaS6r0saqtD6bUwmIw1BMRreNBRT6eGP+BppaHd/1Mw2aUg5HZSGDpTKNqjAzDS0sOub6/Hr01BY7W0ddh1LQ0kjuhzrdyeNPp9PaehfxaSvn53cCbgr7gpxp5Mfe01snd+dlq3JfDi5qjsNaXb/06LW7tSw8VjvjEPcCX+Va/Ncd9rlioq53Z2mOaEDveBOqlt84U6q/ia5U2XZrAR60IYBi/v1yOtBMenR0lT2oKRLpwL/tPCgLH3uvikzwIOKfPGeNXS6B1XYUjrnhvUehMFF0etHPcivgRyBeJDqlz540Ijdb0Jq/vOgA63qZukT6Em1mu/7ujqXJ8ne6qrwpHftb051ivKkylX7JPp19iTVnY3wpHZNd8wuPteT2qgD96T1OYM6pj/hSR8y3FseeMeTro9flzPovac+vyRPUpctrRfl2dmz1NOMXqT6/WJeZAwuPHxyTS+6WLP45PKtvShoWo1Pbv28qP21FjUvTcT7oie1a7HMi9SwZKcXlZEd0Fkvks1TjftedCXt4jRfP3jRq8I44b9epPtNb1L9WgZvmhSPhqawN61C65qlijctWYxXE29a3JtKTOvpTU8xShg9zpsqy8u92JtmrfpT8N0Obxouu4Vz3nTpVcB3+2Nvanyl0Lnd37ypilONho1dfWhQgyGjnEN8aLrrmTbDcvsQas+TxHI+tPzL4IBR9XxIdTvRPrT9XkGcug+lWTunlPN0H2opO75VPiRHE8f2+RAKA7J9aFjI0+Rtz31odce9n/om+FAHjDYdvr6Uttbo54sz+9KefD3WOpfxpUYBzTp2jvKl5J9V0RT6UsVJ5QoVGO9LspuasNyXem7I3/vWAV+yXw/OnDXGl6q/2XR58Bdfkr31I4+0hFp5qmTmtHSnz/Rji8ulpW2/ZceVVvvon1bXj9lpqfTzyOkLd6SlCwenPCx1NS3JUd+992lJNT9p0tHTKrImpKNEv48Hd1ZMR6q/bJOOUGtGVhuZjprPPJOQY1k6GjHtcFevw+lo1eRdLz/eS0dnJmxsdCUuHcnR6BY/P+oom/fcfrQ/6O/Vb9X9KHpL66h6Hf1I9YPj/Eh2F2Fr/GhBpwOhOU/7kWpfX/jRk4r3zohUPxqHajXd358+5cTALKM/jXJe+Di6kD+9311/cWRFf5LFeK2+P6nxXDt/ujL4S9S7vv50qhla3rH+dFAOx+b663q11p/i5PBjjz/d9zs3zfWMP8nqWOSWP916OG713+f+hFpe7uw3f9LjCn+SzXw93wB6jWoSbgRQdnmiOQPo7+hFqGEBtBXNTKfKAZS7LUZ89QJIju6etwwgNS7oGkBq3DgwgO4sPNTpydgAWl0BF3RWAN0IQ4Euw+f8CBuQZlMA5ZAVcW8ANVy5dfvDkwE0dkC/6meuBtCuCIz8HwTQtXV9u558FUADIh3BXb4G0OhsKOnfAXTUBS2ws43GFUKL422jSLK3OWu3ETr/8/tMm24fstqojBzA57NRh99v2qwuZqPW3sk3TGGjqZgVZKtq0+1epI1256ZvRRvZdHvf0kZD5MC+g40G9DbSvuiOz1PjIhtdqIaGeaiNqksoo20kZwETJtoo464+nWZPt1F/NIsL59roz/uZDdcstlGtH61XbFpp0+3ZehuhkZl2eKuNNjWS8GykhpMHbTRy5vsM947bSPXvZ3Eccpx12aZ93rARJitnwu/atLtHNmrUDCOpZ/g5RuMN3thIttYnPuLnX/Ifzf7dRrL3nxVv0w4SbdRw+I4DbVPxc9d8+6+62UnNR7zs1A3NfdZ0dqqTHNr3gc3O/aSdSsgLZ9hp8YvTZeqmt9NVdONFM9spZVv6SWHZ7ZR/7o3tKbnsul3JZ9f1v5CdMAkbvqOYnWQzsrCUndA5ZB9azk6Hqzyr1aqCnYwoz1tVq9gpotTBX7lr2GkkZk3+te30Ii8+qa5du2pip1q2lmhK7fRJdi8d7TTp5q7c1AOfK1/97aSG2cPsNMe26fOAsXYqgNZh4hQc3y90qLPttLQBKtQiO+l5q53kr7est+vy3GEnUzYAR+z0EqeXesFOclaZ7Y6dusgDfc7H9wmfezS7n0+Cnd6g+32baqfL+Rckt/UKpFGZ5916YgskPf4OJNktXc8aSGo+mD+QJoV5jDtbIpDU/KZCICU4oeBrBtLWePyjQSCpaXLLQCqC0VzJToH06ch/h/b0DqQYOX0ZGkgTLked3jQuUNffGYEUt6tO1yULA2nzutpkXx1IrRbVCpq2JVD3m/sC6e+Gs9aY44Ekh5dJFwJJzvr6xgSSY8zxZV8eBepxyutAmtIZJ/glkMrLgdqvQJK1/25qIP3XNV+WCK8gmtsqT+J5WxBVlxMEM4jkbPVg1iDtJH8QdcsnR85BpOa/FYLIsyxKumYQqWFLgyCSw9JZLYMod+j8u16dguilnHb1DiL8dMTfIUEU8XNG/X7jgqhwOs+JsdOD6KOze/MuC4NoFWadr1cFUUP5gy1B5Ptf6uO7e4NI9o4Rx4No8Lm/4y5cCKL8ciATE0RBsqF/FKTr5esgGrqp6Z/334Moz5RKM5YkB/H5BJOeXweT/LrtmYJ5vBJMPa82texlgimDghZMajraIJhG9wp9nqttMKl5Xo9g2uvbe9vUocHUTk6sJgVToBxAzQumc7vRca0OJjXP3hGsx6FHg+k+Lt/Ri8G6P7sbTJ4/K6UYL4NJzUNjg0mPm0MI/x3jYQ8hNd/LHEJ6/SREu68eQpHyQrUMofFyeN0rhI5kedng4+gQ0vOrEB5Hh1CeaMx0DoYQJs8bvC+EUF45XbwVQnrehfePR0X6EEJdZMHHh3A9DqEWqqMLpQdr0YGEhFLdrksGLssUSpJHvnyhVEl1qKF0AizqVw4lOYp5WyeUdqMaDmweytc3lNY9P5FuWd9Qcmz8UC3fyFBaJJdPpoRSQDFZc0NJDgdfrA4lOXrqsz2UIqMh4nAoXcrTqerCc6FUIX726JwxoaTWd56EUtGxbxMi3oeSGh7GhVJOObH9F0prHrVd5+YdRubqac8WBIVRh/Klj2TJGEYvPKPjD+QJI7WeUCJM9zcVwyii1as13SPD6GI21KSmYURyYaRDGB3ZLweEYYTR2dQDw8N0eU8Oo+yyws0Lo1V33Et1XxVGn/ui594aRu3lgOFgGD1z8ZqS/mwYt8dhdGt2838VH4dRzSYTStx/G0bnM6ADiA3T5ZYYpvt3l3BSw1bvcN3/2sKpt2wQjXCS3cLIzOHUSw6Ucofr+UeRcFqBYppeJpzk9ONtpXBafrF2dLmIcH3eDcJp6ZArjb63CNftaIdwuoJmYl2PcKqeLzVjyoBwkqtADUaGU7WXQwJ3TAyni0cOTXefFU5V5v1yb7UonC50xwRvVTipdabN4RQvh1u7w0ktexwOp59JaEjO8HFf4eO+HU6rdjyZnvtJOGWQDdvrcFLLJp/DSc7yK/4Ip4hxaSN3xoeTr4STGE7XRmICmRJOU1Oif79xNnR/6m5QyQxoeb0N+rO85D+Hn0FyujjBbtCGU9+vxYYYJKtHE9MgtS6QwZC9+p3cWQ268+yFz9ycBs1BsSflNUgNywoZRHJ5sphBclhYp7hBcvh+B/kBw+iGJQzqLyeEyDty2a+kQXI69ARpQVHbUgYNDdxR9SVSLm+0L22QWm9DZpYD2TIGyW79K1KumvUqa9DV1ZUP/EQ2lh1LOYPHxwb1xduGCYOc5IsMUuuISAPDc/fyBm26ICcChp6XVTDobEKO5jORdeQbKxqEd2GiZxBmW3NDK6F86r9evxQ5/nPdQ47KBtnUwpjB432D8u5Z/n0jUs7yclc19PVG3hv0MVvBagbJs92H/LERX1zdoOFCfrNB6jRqGNopUs8vDZIfdwGp3lYL5XkNL6ScVkZGGKTXLwzd3tU2dPuIlMPh5pGGnn8it+BdbesY3F4Y2kVdg+odcuBUDJLD7x71DFLrNkg1v6xvkBwG/UbKyzEkyqA1KOYUpCy+0Q0MksXi1tCgGrKCIVW71cjQPpF6XdegkbIAkaoeNjF4XmRQdrWAZZAaDiDVvLiZQTd/o6CRalzf3CCUnuc2pGo/Wxjk1jBd3j1IeXWLtjQovbwgSFVdWhl6fIHU8zyDonDZziHV5WhjUE954ZDJsvjaGiSLJQYZIk+3ncHjd4PU4bU3SDXbyFry46INkm97jeygXgbFy2VkJK7a1G4dDUonKwJymVwO74TyLIKBN3LitTED+nU2qJJcPkbqdV6D1LJAV4O+oFqNRw6WJ9zNIHf1gYZe/+hu6PEsUl6OwB6GnjchL6P4wnsaJItlOVKeboZeBvVWQAz6h8PL1tsg+bWbkXKZLkcflCeG9VuRbr6H7ubri/Jcm+39bqRaZ+uH8rzt6nsIqZYx+xuklpmRUZjtlB+A8sQw9xyyh+w4BqI8W6ElRE7+7TU9YpBBwTMHrYxBrsPH1h+M8pQLLki17jIE5fm10MenyEeY7rQaivKUC0BIPY5EedbEG5BqOW+4odtZpOp/Rhh0YPPGYQnIiuXxTSMNPW9CqnnvKIPkMo/zaJTnypiH45DuxcVnjzEGyWHyFKQc5qYbi/KU9yOQ8rQDxxm6H0Q2xGGGj0d54uuXI9U68gSUp7x9gVTzlYkGhR5J3b8ZuaEuSmKSQWodFCmXlQpNNqi2fAPyyc4ctpJTDMKnZzmGTHiWpriYauj5FVItf00zaPl6fBAyt1yYmm4Qrs7cG0gcxfq6M9Bu4rLcRRbsl9q1/kyUp0+PEfeRNdc+ndVkFsqzlPwXyvP24f2tZqM8O2NGh1Tz1TkoT7mMgVxaAB8w19DzPaRal5mH8vx9slgCUo2/5ht6vIZU68MLDL0esdDQ8xKkWm9chPKUA3jkjr1FrqRdjPKUh4FU6xpLDD3/QKr561KUp7yBgFS3FZahPB/iwJGh6hcGyVHWZmThlRPG5FmB8sRR7URG3Gi3sdBKlGc0ThCp10FRnvN2PjuK1OvzKE85rUbK0WblNQbJuzOXkIemyC9CeWaqGnEDKYup7jr0Qzj9u0h5Wo3Wo3+UBYb0lAe0waD5+PgXSPln7TaiH8L/vkOq+z6bDL0+hFT3DzajHyqDXyBVv73FIFytyESkWsfZapBc3UxF4mQmjNmGfkh+wHaD5G8nISPlwvoO9EOzmsTMQHaRF2qnQeryINU4dBf6IVmcSFlMjt2GHm8i1bhqj0HqcJHyMHLtRT8kPx6pxjf7DFL/i/SWF36/QaglKBJDr+8dQD+k1rnRD8nbKQcNebVwpQ09vjuEfqgjLgBSVsfIw+iH1AegH5LD9yMGz+sMUveLjqIfUhfKIHl52hzDuEF+EfI5irPjcYO61ZdnbpC6r3AC7SZOKxYZKAvspEHyMH4j88sJ/yn0Q3L9HKnm/6cNXk9BuykLFqnuA501aIT8BdK3h/yXQYoBUk1HzqMfktUWWV6doEGqmiGbo/pkuoh2U1YLpLrNdwntprxQSLU+fhntpvwipCzOIld4XIXU61oGqdNCvpTL/dfQbsrDQMqPr3od7ab8M2SwqpgGSc4xN9j5TXZ+k53HsPMYdn6Lnd9i57fZ+W12foed32Hnd9n5XXZ+j53fY+f32fkDdv6AnT9k5w/Z+SN2/oidP2bnj9n5E3b+hJ0/ZedP2fl/7Pw/dv6MnT9j58/Z+XN2/oKdv2DnL9n5S3b+ip2/Yuev2flrdv6Gnb9h52/Z+Vt2/o6dv2Pn79n5e3b+gZ1/YOcf2flHdv6JnX9i55/Z+Wd2/oWdf2XnX9n5N3b+jZ1/Z+ff2fkPdv6Dncey81h2HsfO49j5T3b+k53Hs/N4dp7AzhPY+S92/oud/2bnv9n5H3b+h50nsvNEdp7EzpPY+V92/pedJ7PzZHaews5T2Pk/dv6Pnaey81R27mRq50jl3NnUzl1M7RypnLua2jlSOXcztXOkcp7G1M6Ryrm7qZ0jlXMPUztHKueepnaO1PfBTO0cqZx7mzx/MrVzH1M7RyrnvqZ2jlTO05raOVI5T2dq50jl3M/UzpHKub+pnSOV8wBTO0cq5zZTO0cq53ZTO0fq+yymdo5UzoNMXn8xtfNgk+8vmLzOaPL9Q1M7RyrnYSbJuzHTkIuPLpjlF25q50i9Hm1q50jl3DS1c6RybpnaOVI5d5jaOVI5T29q50i9z8DUzpHKeUZTO0cq55lM7RypnGc2tXOkcp7F1M6RynlWUztHKufZTO0cqZxnN7VzpN7HYWrnSLk83DWnqZ0jlfNcpnaO1PdlTO0cqZznMbXzvKZ2jlTVIp+pnSOV8/ymdo5UzguY2jlSFVNBUztHTpnxJi59IVM7R6r10cKmvp+H1OsVpnaOVNPxoijPvZ/67kcm1GgyoUQxUztHKufFTe0cqddrTO0cqZyXNLVzZCuPG2F1S5n6PidySLGt5RqVNrVzpHJextTOkTvnRU9qVxblKfdpIJXzcqZ2jlTOhamdI5VzYufEzsuz8wrsvAI7r8jOK7LzSuy8EjuvzM4rs/Mq7BwpD8eqatKRrl6Jq5Dq/mQ1k+SPNyLVfcbqKM/LZytsR6r7rDVMwrs77kWq+yk1TX3fAKn2T9RCecobAMhr3/CHESbJZajzyPfWxg/VaqM85Y0npLNcmIk0aSYu522kKb+gjkmb7TGVHiJlsTari/KssL3zM6RaV6ln0rPeqAHIbvJA6qM8cTifkPJrukeZeh0Uqe7rNTBJLj/9Qh4D1yENTb0ehcS7i4xqhPKUC46NUZ7xqBhIvc7Pzpuw86Yoz/pp1s5BymoU1AzlOebVxUVIdd+ouUnytscK5Mdq+IIWaDdfLAtYj1T3b1ui3URxbUWq9chWaDdxeruRJeWBtDb1+hdSfk2pNibJPz+OVPse2qLdvIoCRU5qhwNuh3ZT/gApb3NGtDcJtd8eg1TrotGmXv9DytusTTqg3ZR/iPyZ/nbPVh3Rbh6kMa+Q6SJRQzuh3cRl/9CJnXc29f1BZEUUf+8upr4/j1Trs11NvQ6JVLenu5n6fmt3tJs4nHHIDPgajx4myT+fgiwtL3hPky4tQoEiJVd7L7SbF/EDZC8Jq7ep75P0Zud90G7Kgu/Dzvuyc6Tad9PP1Ot7/dh5f3ben50PMElepqNIfwl1INpNuU8PKYur0iC0m/IdSHU/ejDaTRz2jcHsfAg7H8LOh5okf/wYqe6TD0O7KQ94GDsfzs6RV8Cm8whT3w9DvkU17zkS7aY8MaSslv1HmSSrWyJS3c8djXYT1SMVKS/7mDFoN+X+oLFoN+UXINXy+Di0mxICUu3TGG+SLIZ5SJssqAloN+U2jAnsfCI7n8jOJ7HzSex8MjufzM6nsPMp7HwqO5/Kzqex82nsfDo7n87OZ7DzGex8Jjufyc5nsfNZ7Hw2O5/Nzuew8znsfC47n8vO57Hzeex8Pjufz84XsPMF7HwhO1/Ezhex88XsfDE7X8LOl7Dzpex8KTtfxs6XsfPl7Hw5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw87XsPO17HwtO1/Hztex8/XsfD0738DON7Dzjex8IzvfxM43sfPN7HwzO9/Czrew863sfCs738bOt7Pz7ex8Bzvfwc53svOd7HwXO9/Fznez893sfA8738PO97Lzvex8Hzvfx873s/P97PwAOz/Azg+y84Ps/BA7P8TOD7Pzw+z8CDs/ws6PsvOj7PwYOz/Gzo+z8+Ps/AQ7P8HOT7Lzk+z8FDs/xc5Ps/PT7PwMOz/Lzs+y83Ps/Bw7P8/Oz7PzC+z8Aju/yM4vsvNL7PwSO7/Mzi+z8yvs/Ao7v8rOr7Lza+z8Gju/zs6vs/Mb7PwGO7/Jzm+y8xh2HsPOb7HzW+z8Nju/zc7vsPM77PwuO7/Lzu+x83vs/D47v8/OH7Dzh+z8ITt/xM4fsfPH7PwxO3/Czp+w86fs/Ck7/4+d/8fOn7Fz5He5DfQ5O3/Ozl+w8xfs/CU7f8nOX7HzV+z8NTt/zc7fsPM37PwtO3/Lzt+hPOWN+nfs/D07f8/OP5gkt12+QSY2DGjW8SM7/8jOP7HzT+z8s0lHa5U6+OszO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/wc5j2XksO49j53Hs/Cc7/8nO49l5PDtPYOcJ7PwXO//Fzn+b1F1uREKq/T9/TL2/4Q87T2TnyAIv6h2tlcTOk9j5X3b+l50ns/Nkdp5iktoGnsLO/7Hzf+w81aQK7ewTviFjknAATha1mPNjSzxS7Y9ytvR+UKTaN+9ikfq1q6WdI5VzN0s7RyrnaSxq8O5OnVlI5dzd0s6RyrmHRXI7wTKkcu5p0fq+uOLIQj6Pb2X1skhe/k1ItV/E2yL5051Ivb/b0vs+kGPktilfi/xkASHVfd20Fql990j89ZRK6SyqjK+7iLydVe6QtEhty0d+icKB+ls0RP4DKUu/YYCl98UiM+1dZbWwWfq+OVI+PdDObul9YUi1HyHQIrVtDtlHbhMMsij1wYYVcUj8z+7+wRaFyw9GblwRd29oiEVFJACk2m4baun792Eoz2S5EcgidZrhKE8c/gykOizDIvl185Ar5ceYlt6XgTycEQdqoTz1P0g9r+Gw9H4YpHKe3tL7BpFqn2gGi/Q+aouyyA3aGS29fxWp9tdksvQ+MaR6bCKzRfKynkeqfdFZLL3vCSmLt3ZWi0x1AS3ajOKIymZp58hzOPxm2S2qKx8jQar94Dks7RypnOe09D5kpF3+I5dFqy3USCS+ZV3f3JZ2jlT7FPNYdH8oTggpq/HIvBbFyuqZz6IRsmIjVXXKb+n9m0j93IhF8rLOQarLVdCiG7gMi5CqeAtZJIttBXKALI7CFsnTXIdUh1/EIoeEglT7jopa6mN2Iy/IXxezqL48UKRkW6q4pZ0j9T4/i/cxWRQkC7ykRWtR3S8jlfNSFqnHYpA1ZcUubdFDVKd7SHUfv4xFP3H5nyJHyQ8ua2nnyKXLJACLcsgKhpTF1lVY2jlSOSd2Tuy8PDsvz84rsPOKlt6XgNyOWulRyaJSCpRFlySzyuwcqVhUsaiXOiFL72erys6RqtpVY+fV2Hl1dl6dnddg5zXYeU12XpOd12Lntdh5BDuPYOe12Xltdh7JziPZeR12Xoed12Xnddl5PXZej53XZ+f12XkUO49i5w3YeQN23pCdN2Tnjdh5I3bemJ03YedN2HlTdt6UnTdj583YeXN23pydt2DnLdh5S3bekp23Yuet2Hlrdt6anbdh523YeVt23padt2Pn7dh5e3benp1Hs/Nodt6BnXdg5x3ZeUd23omdd2Lnndl5Z3behZ13Yedd2XlXdt6NnXdj593ZeQ923oOd92TnPdl5L3bei533Zue92Xkfdt6Hnfdl533ZeT923o+d92fn/dn5AHY+gJ0PZOcD2fkgdj6InQ9m54PZ+RB2PoSdD2XnQ9n5MHY+jJ0PZ+fD2fkIdj6CnY9k5yPZ+Sh2Poqdj2bno9n5GHY+lp2PZefj2Pk4dj6enY9n5xPY+QR2PpGdT2Tnk9j5JHY+mZ1PZudT2PkUdj6VnU9l59PY+TR2Pp2dT2fnM9j5DHY+k53PZOez2Pksdj6bnc9m53PY+Rx2Ppedz2Xn89j5PHY+n53PZ+cL2PkCdr6QnS9k54vY+WJ2vpidL2HnS9j5Una+lJ0vY+fL2Plydr6cna9g5yvY+Up2vpKdr2Lnq9j5ana+mp2vYedr2Pladr6Wna9j5+vY+Xp2vp6db2DnG9j5Rna+kZ1vYueb2Plmdr6ZnW9h51vY+VZ2vpWdb2Pn29j5dna+g53vYOc72flOdr6Lne9i57vZ+W52voed72Hne9n5Xna+z1LbGDfsY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnSPrVul5telxdn6cnZ9g5yfY+Ul2fpKdn2Lnp9j5aXZ+mp2fYedn2flZdn6OnZ9j5+fZOXJvw4tufhcsvb8TqZ7PuYjytOxlFiHVc2CX2Pkldn6ZnV9m51fY+RV2fpWdX2Xn19j5NXZ+nZ1fZ+c3LP38BFLt/76J8lyQ3PbyTXYew85j2Pktdn6Lnd9m58i08sGGOxbJx99e3mHnd9k5Uj2HcA/luSs3fUO2kA/K3Ud5PveMjkcOlK8HKE+/d5OTkHM2RC0b/tAi9Zz2I4ufH0B5dl91x/2xRSi9d5ORDZYN/+P7xNLPGyHV/uinaDfbXs6/ADklqXiFsP/QbsoPRKrnop5Z+rk1pNyOnPW5pZ93QD6eeHNX7hcoT/nFyPgD2+4VfInyrG182IeUh1f8lUXya48ic8kCfI3yxNtOIyvJ1xu0m0/2NLyIVM/lvrX0Pnuk2k/6DuUpTwQ57xbe+N7SzwMhdzodftD8A9rNRdk/PUeqffsfUZ7yhJHq+b1PFqGUC39BpsrHuD+j3cyKM0Gqxz2+WPq5RaR67uyrpZ/3QkbKB8S/od3E4bl9R7uJr52IlB/n/cPSz+8gA+Qr1iK523ceMo+sqHGWfk4QKRlZP9Fuym3HyDbyjfHsHDlMVugEtJvRKEGkrFb5f1kkHz/Yg1TPrfxGuykfw0eqbe1/0G7icpxEymKukGjp/b1IZ/nFSWg3cbpXkeo5979oN3F4t5DqeYZki+THPUhm5yloN//DC9m1P67wP4tw1VzeICeAW8dUtJuyoJFq/7STg/LJNyL1czoO/Twn8r58bMzFQe3kBUGqfdCuDhohP9DNQT64vOOR8rJ5pnHofe5I5dzdoZ0jlXMPh3aOVM49HSQPbwXSVV5gLwfJj1uHlG/L7u2grVvwQpaQkHwchKt2cxeyvqwIvg69nxwpeZRK6yD1/DZSPX+SzqGdI5VzP4d2jpTVpZa/g2Q1uIl8KB8DDXCQvGz3kPJyNLY5+LkRh3Zud2jnyBwScKCD9svHVpHKeZBDO0cq58EO7RypnIc4tHOkch7q0M7DHNo5UjkPd2jnSOXccGjnSOXcdGjnSOXccmjnSOXc4dDOkcp5eod2jlTOMzi0c6RyntGhnSOV80wO7RypnGd2aOdI5TyLQztHKudZHfw8jUM7z+bQzpHKeXaHdo5UznM4tHOkcp7ToZ0jlfNcDu0cqZzndmjnSOU8j0M7RyrneR3aOVI5z+fQzvM7tHOkcl7AoZ0jlfOCDu0cqZwXcmjnSOW8sEM7RyrnRRzaOVI5L+rQzpHKeTGHdo5Uzos7tHOkcl7CoZ0jlfOSDu0cqZyXcmjnSOW8tEM7RyrnZRzaOVI5L+vQzpHKeTmHdo5UzoVDO0cq58TOiZ2XZ+fl2XkFdl6BnVdk55XYeSV2XpmdV2bnVdh5FXZelZ1XZefV2Hk1dl6dnVdn5zXYeQ12XpOd12Tntdh5LXYewc4j2Hltdl6bnUey80h2Xoed12Hnddl5XXZej53XY+f12Xl9dh7FzqPYeQN23oCdN2TnDdl5I3beiJ03ZudN2HkTdt6UnTdl583YeTN23pydN2fnLdh5C3bekp23ZOet2Hkrdt6anbdm523YeRt23padt2Xn7dh5O3benp23Z+fR7DyanXdw0P+krfpA</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>eJzt0LERgzAMBVBGYgTXGYE2HRV3FGkZISNmlFT2nWS0APdew8lG37KXBQCAx/mdLdbvWF9bC+vXK+5Peem/6judk3L7uVXfWE/z5byRk/LyvFXd+6bcPG9xz3KeYo78X9b3v0cLfeX907utn/s5cu703nvsG+efsR79+/38AAAAAAAAAAAAAAAAAAA8zh9ILUVH</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=346.056 Q3=78.800 sample=20 experiment=1 RT=4.40 ce=-45.00 name=AMP_(adenosine_monophosphate)" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="124">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0zEKwCAMAECf1Cdk67d8eofSTRFig8vdIhhNQsTWAACAGhHvesU4PtvPnjvt67Oo334n856e39/1d+e8ulccT7/jLP/u/wIAAAAAAAAAAAAAAAAARh4nWQmP</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=361.202 Q3=331.300 sample=20 experiment=1 RT=0.59 ce=-15.00 name=cortisol_" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt23VAFE0YBnBKWoE7enfP7u52XjsRA7sDu7u7u7u7u7s7sPOzu0FQQZDvmZn3/vgePzjudmfnN7WzkcaHfaNr1xRrD0Zvn+HVUpw8V/mJY0sHsW37w1YDInuIWleLxnVI6iPOipH7bNcHiJL7Lg04sXKI8DJWtMx5dZRIePJgdN8q40T6cmd3OB2eKHxSk2/VKDJVFGvz4d+DDTPE7pcf5+/xnS1GPio7uPGm+eLb6i4vV4olonmXhdXf318hVrUfX3ST/xphCxQXnu5fJ6qf2Xrb1XeTOHZUvraKEVaJjpU67xRl3279ne/Qbv75XrE8YP3x0yEHxIal5zLs6nNI7Mz6ZuyK60dE3ozp47s1PC7u1pl1PvOzk8J37uYxdaufFjtSpmSavfaMqNOp25mYlLMi7nZEW//G58W8svld6uy5IIrhIGb6XhIPbHHlb3a4LKYv7GEbe+qKUMVjXBPH6y3IOKP/ddHq+MDT12/eEM7ztu1yD4oR9aovH5XtTIxY8296nSo9b4mfe0dk6GDeFpU69/wx/vJtMd/R+tT6AXdENq+dNfwK3BUHfqbcHfTxrihbN7VKjrX3xPXStW/Nbn5ftMy2vNnfoAfim/+Xt+1vPhD9e3xtFDj5oUjTpMyr4RUeiQUVp3Z7//eRyJbv8a86+x+LbVOfdHLq+USUHZDrZ+ccT8X11oOH33n5VLSsecmj7NL/xLeiIXM2RD0T/eeGujVM91ykGdFxxsmLz0XNIs2mzaMXYl2vst4P1r4Qg979GVrG46W4lelJ4oguL0UudYIvxdilKxNcC74ST+XlnfdKFA1sHzvp9yvhNSV9u29NX4u2F5xfFjjxWlR1HeSTJccbsXHwxZyl5rwR0w6Ujcqb/EZ8zjO9T8UOb0VMZ9flxWLeiv0b5BveiSDr8lux7p1IaiL8C6d7L5rGzMhXfdB7US6tPNP3InONoWPz1/ogUParKx/4IDql0LUSGT6KS31nfao95aPY3EIW1Efhn+51s8rdPomBJ1aG5//vk/ivR/NHobU/i0rpwxa5nPwstt681/BL/i8iYNScoPurvohBBSLvngz4Kp6/8EGN+Coqz75Ud+7Pr2Jb+fH+w9t/E/4r2zQa9fSb6JtcdsXYqO+iVd+MnWuc/y4yqdcP8eDrhfnT2/wQZfPcXfJu+Q/hknti8KMbP8SRx1NSon//EPd9FzwobsWK2HKrd3tVjBW9VEWI1fV/Wqz4W7xC2PHtsWJi7PZMB27EioGyon6JFR07zzMK+cSJxus9QnvljBPf8DUvK8WJKx+6N9naLk5s8K6Stf+YODE2jwMfHSda1f51zPNUnCjd68ak28/iRNOEwziCOFFMXm7zp7CV7NLHUfqn+Na0QrkPTX6Kq8PCvfcM+ikU2yU/xYuBuODHforwuo+NYS9/ivq5bpQb5h4vbna4975L7njhRZe9u9aJFzjavF37x4sTDc7db7IkXvzJdyixycl4UdBzm9n0TbzYXmnv+WpeCWLhLL8hxXIn6PYhIkF8/4ZXjwTxI9Zcd2RugijcuOXzfocS+DolCMXc7ZfYffLLijJ5fonPx316jGj4S2Q9lqvsqVG/hNmo2AT71l+igXzd+yVm1u+XZWHqLzHh28jun3L+Fqfkn0X9Fomf5B/+FoU/Pn28c9Nv0f39382xt3+LDW/DBxdO+S1evC5ZrX/2PyLsVeOQg3X/iIDh7Vt7D/sjzoRkq59m7R/Rd8/7yk5X/ogsEZtL/P3xR8iz/xWSqOuPSBTPshcp1qZTonCUnp9YZF4il3uieHWui/vVz4nivGwmg5NEXlnNyydxfUwSbc7eyR29OEm3ixeSuJ4liQVVDmfcm+GvUIcZ8VeU2L3kdNyQv2Jyh6mzbZv+ClyNNoXu/RW5b3UrWM8lWQyb0MK5T/5kXS+bJ4s2UfWyr5qcLPZ4Vfx98kCycD1Z+OLz18kiShaPf4p48x0FXipF9Ot6ck219inC7f20HF+npwj5MTsPpwivu/2P9n6bIm5uR0MY8E8ce/GuYwr9E18GvL5yodc/8WjztY2rV/3T1z/mn+hRZNRBckkVo6qdHG6VSBXAgyqZqj2uShXloGTg7VTxUVZTFyeaO64RarATLclbpcaqfE7U4qDRqFgVJ8pQPrbdtRZOJL+lbX8n2hi1bPifaU6U7WTjuKnrnaiKLMYTTpTp4dXLKx44kWzte/5wotlN0DB4OVO1JfV6/8roTE5P7tY/UcqZpJbHdZ1J1YfOzjQIrXHSaGfK2t9liedSZ7qTo3j74H3OpNqDG86kmu8PzqTaPScXcv/6Yc64EBdqC+1d87mQqS6cCz24tPRjzeYu9N0evrRAPxeSrZ3XdBcqYaFFXu9C25Oadz9/woWeHdpTcNlDF1LtY6wLvWmJhsLblWTxRmd2pV8RE0u7lXalww+a49BdCVe1QYEuriQ+e7S9MNqVtCdXQmWv+XWPK6lqf9WVfvd/sSzgrSsVOj128Jp/rpTuRIHFuULdqLq8cAXdKKv76PkVa7rR8deB1uVoN2pwetO62qPc6Cs43F3iRuOHxextst+NrKbtSz+/6UaTtowf+e+DGxVteaS6r0saqtD6bUwmIw1BMRreNBRT6eGP+BppaHd/1Mw2aUg5HZSGDpTKNqjAzDS0sOub6/Hr01BY7W0ddh1LQ0kjuhzrdyeNPp9PaehfxaSvn53cCbgr7gpxp5Mfe01snd+dlq3JfDi5qjsNaXb/06LW7tSw8VjvjEPcCX+Va/Ncd9rlioq53Z2mOaEDveBOqlt84U6q/ia5U2XZrAR60IYBi/v1yOtBMenR0lT2oKRLpwL/tPCgLH3uvikzwIOKfPGeNXS6B1XYUjrnhvUehMFF0etHPcivgRyBeJDqlz540Ijdb0Jq/vOgA63qZukT6Em1mu/7ujqXJ8ne6qrwpHftb051ivKkylX7JPp19iTVnY3wpHZNd8wuPteT2qgD96T1OYM6pj/hSR8y3FseeMeTro9flzPovac+vyRPUpctrRfl2dmz1NOMXqT6/WJeZAwuPHxyTS+6WLP45PKtvShoWo1Pbv28qP21FjUvTcT7oie1a7HMi9SwZKcXlZEd0Fkvks1TjftedCXt4jRfP3jRq8I44b9epPtNb1L9WgZvmhSPhqawN61C65qlijctWYxXE29a3JtKTOvpTU8xShg9zpsqy8u92JtmrfpT8N0Obxouu4Vz3nTpVcB3+2Nvanyl0Lnd37ypilONho1dfWhQgyGjnEN8aLrrmTbDcvsQas+TxHI+tPzL4IBR9XxIdTvRPrT9XkGcug+lWTunlPN0H2opO75VPiRHE8f2+RAKA7J9aFjI0+Rtz31odce9n/om+FAHjDYdvr6Uttbo54sz+9KefD3WOpfxpUYBzTp2jvKl5J9V0RT6UsVJ5QoVGO9LspuasNyXem7I3/vWAV+yXw/OnDXGl6q/2XR58Bdfkr31I4+0hFp5qmTmtHSnz/Rji8ulpW2/ZceVVvvon1bXj9lpqfTzyOkLd6SlCwenPCx1NS3JUd+992lJNT9p0tHTKrImpKNEv48Hd1ZMR6q/bJOOUGtGVhuZjprPPJOQY1k6GjHtcFevw+lo1eRdLz/eS0dnJmxsdCUuHcnR6BY/P+oom/fcfrQ/6O/Vb9X9KHpL66h6Hf1I9YPj/Eh2F2Fr/GhBpwOhOU/7kWpfX/jRk4r3zohUPxqHajXd358+5cTALKM/jXJe+Di6kD+9311/cWRFf5LFeK2+P6nxXDt/ujL4S9S7vv50qhla3rH+dFAOx+b663q11p/i5PBjjz/d9zs3zfWMP8nqWOSWP916OG713+f+hFpe7uw3f9LjCn+SzXw93wB6jWoSbgRQdnmiOQPo7+hFqGEBtBXNTKfKAZS7LUZ89QJIju6etwwgNS7oGkBq3DgwgO4sPNTpydgAWl0BF3RWAN0IQ4Euw+f8CBuQZlMA5ZAVcW8ANVy5dfvDkwE0dkC/6meuBtCuCIz8HwTQtXV9u558FUADIh3BXb4G0OhsKOnfAXTUBS2ws43GFUKL422jSLK3OWu3ETr/8/tMm24fstqojBzA57NRh99v2qwuZqPW3sk3TGGjqZgVZKtq0+1epI1256ZvRRvZdHvf0kZD5MC+g40G9DbSvuiOz1PjIhtdqIaGeaiNqksoo20kZwETJtoo464+nWZPt1F/NIsL59roz/uZDdcstlGtH61XbFpp0+3ZehuhkZl2eKuNNjWS8GykhpMHbTRy5vsM947bSPXvZ3Eccpx12aZ93rARJitnwu/atLtHNmrUDCOpZ/g5RuMN3thIttYnPuLnX/Ifzf7dRrL3nxVv0w4SbdRw+I4DbVPxc9d8+6+62UnNR7zs1A3NfdZ0dqqTHNr3gc3O/aSdSsgLZ9hp8YvTZeqmt9NVdONFM9spZVv6SWHZ7ZR/7o3tKbnsul3JZ9f1v5CdMAkbvqOYnWQzsrCUndA5ZB9azk6Hqzyr1aqCnYwoz1tVq9gpotTBX7lr2GkkZk3+te30Ii8+qa5du2pip1q2lmhK7fRJdi8d7TTp5q7c1AOfK1/97aSG2cPsNMe26fOAsXYqgNZh4hQc3y90qLPttLQBKtQiO+l5q53kr7est+vy3GEnUzYAR+z0EqeXesFOclaZ7Y6dusgDfc7H9wmfezS7n0+Cnd6g+32baqfL+Rckt/UKpFGZ5916YgskPf4OJNktXc8aSGo+mD+QJoV5jDtbIpDU/KZCICU4oeBrBtLWePyjQSCpaXLLQCqC0VzJToH06ch/h/b0DqQYOX0ZGkgTLked3jQuUNffGYEUt6tO1yULA2nzutpkXx1IrRbVCpq2JVD3m/sC6e+Gs9aY44Ekh5dJFwJJzvr6xgSSY8zxZV8eBepxyutAmtIZJ/glkMrLgdqvQJK1/25qIP3XNV+WCK8gmtsqT+J5WxBVlxMEM4jkbPVg1iDtJH8QdcsnR85BpOa/FYLIsyxKumYQqWFLgyCSw9JZLYMod+j8u16dguilnHb1DiL8dMTfIUEU8XNG/X7jgqhwOs+JsdOD6KOze/MuC4NoFWadr1cFUUP5gy1B5Ptf6uO7e4NI9o4Rx4No8Lm/4y5cCKL8ciATE0RBsqF/FKTr5esgGrqp6Z/334Moz5RKM5YkB/H5BJOeXweT/LrtmYJ5vBJMPa82texlgimDghZMajraIJhG9wp9nqttMKl5Xo9g2uvbe9vUocHUTk6sJgVToBxAzQumc7vRca0OJjXP3hGsx6FHg+k+Lt/Ri8G6P7sbTJ4/K6UYL4NJzUNjg0mPm0MI/x3jYQ8hNd/LHEJ6/SREu68eQpHyQrUMofFyeN0rhI5kedng4+gQ0vOrEB5Hh1CeaMx0DoYQJs8bvC+EUF45XbwVQnrehfePR0X6EEJdZMHHh3A9DqEWqqMLpQdr0YGEhFLdrksGLssUSpJHvnyhVEl1qKF0AizqVw4lOYp5WyeUdqMaDmweytc3lNY9P5FuWd9Qcmz8UC3fyFBaJJdPpoRSQDFZc0NJDgdfrA4lOXrqsz2UIqMh4nAoXcrTqerCc6FUIX726JwxoaTWd56EUtGxbxMi3oeSGh7GhVJOObH9F0prHrVd5+YdRubqac8WBIVRh/Klj2TJGEYvPKPjD+QJI7WeUCJM9zcVwyii1as13SPD6GI21KSmYURyYaRDGB3ZLweEYYTR2dQDw8N0eU8Oo+yyws0Lo1V33Et1XxVGn/ui594aRu3lgOFgGD1z8ZqS/mwYt8dhdGt2838VH4dRzSYTStx/G0bnM6ADiA3T5ZYYpvt3l3BSw1bvcN3/2sKpt2wQjXCS3cLIzOHUSw6Ucofr+UeRcFqBYppeJpzk9ONtpXBafrF2dLmIcH3eDcJp6ZArjb63CNftaIdwuoJmYl2PcKqeLzVjyoBwkqtADUaGU7WXQwJ3TAyni0cOTXefFU5V5v1yb7UonC50xwRvVTipdabN4RQvh1u7w0ktexwOp59JaEjO8HFf4eO+HU6rdjyZnvtJOGWQDdvrcFLLJp/DSc7yK/4Ip4hxaSN3xoeTr4STGE7XRmICmRJOU1Oif79xNnR/6m5QyQxoeb0N+rO85D+Hn0FyujjBbtCGU9+vxYYYJKtHE9MgtS6QwZC9+p3cWQ268+yFz9ycBs1BsSflNUgNywoZRHJ5sphBclhYp7hBcvh+B/kBw+iGJQzqLyeEyDty2a+kQXI69ARpQVHbUgYNDdxR9SVSLm+0L22QWm9DZpYD2TIGyW79K1KumvUqa9DV1ZUP/EQ2lh1LOYPHxwb1xduGCYOc5IsMUuuISAPDc/fyBm26ICcChp6XVTDobEKO5jORdeQbKxqEd2GiZxBmW3NDK6F86r9evxQ5/nPdQ47KBtnUwpjB432D8u5Z/n0jUs7yclc19PVG3hv0MVvBagbJs92H/LERX1zdoOFCfrNB6jRqGNopUs8vDZIfdwGp3lYL5XkNL6ScVkZGGKTXLwzd3tU2dPuIlMPh5pGGnn8it+BdbesY3F4Y2kVdg+odcuBUDJLD7x71DFLrNkg1v6xvkBwG/UbKyzEkyqA1KOYUpCy+0Q0MksXi1tCgGrKCIVW71cjQPpF6XdegkbIAkaoeNjF4XmRQdrWAZZAaDiDVvLiZQTd/o6CRalzf3CCUnuc2pGo/Wxjk1jBd3j1IeXWLtjQovbwgSFVdWhl6fIHU8zyDonDZziHV5WhjUE954ZDJsvjaGiSLJQYZIk+3ncHjd4PU4bU3SDXbyFry46INkm97jeygXgbFy2VkJK7a1G4dDUonKwJymVwO74TyLIKBN3LitTED+nU2qJJcPkbqdV6D1LJAV4O+oFqNRw6WJ9zNIHf1gYZe/+hu6PEsUl6OwB6GnjchL6P4wnsaJItlOVKeboZeBvVWQAz6h8PL1tsg+bWbkXKZLkcflCeG9VuRbr6H7ubri/Jcm+39bqRaZ+uH8rzt6nsIqZYx+xuklpmRUZjtlB+A8sQw9xyyh+w4BqI8W6ElRE7+7TU9YpBBwTMHrYxBrsPH1h+M8pQLLki17jIE5fm10MenyEeY7rQaivKUC0BIPY5EedbEG5BqOW+4odtZpOp/Rhh0YPPGYQnIiuXxTSMNPW9CqnnvKIPkMo/zaJTnypiH45DuxcVnjzEGyWHyFKQc5qYbi/KU9yOQ8rQDxxm6H0Q2xGGGj0d54uuXI9U68gSUp7x9gVTzlYkGhR5J3b8ZuaEuSmKSQWodFCmXlQpNNqi2fAPyyc4ctpJTDMKnZzmGTHiWpriYauj5FVItf00zaPl6fBAyt1yYmm4Qrs7cG0gcxfq6M9Bu4rLcRRbsl9q1/kyUp0+PEfeRNdc+ndVkFsqzlPwXyvP24f2tZqM8O2NGh1Tz1TkoT7mMgVxaAB8w19DzPaRal5mH8vx9slgCUo2/5ht6vIZU68MLDL0esdDQ8xKkWm9chPKUA3jkjr1FrqRdjPKUh4FU6xpLDD3/QKr561KUp7yBgFS3FZahPB/iwJGh6hcGyVHWZmThlRPG5FmB8sRR7URG3Gi3sdBKlGc0ThCp10FRnvN2PjuK1OvzKE85rUbK0WblNQbJuzOXkIemyC9CeWaqGnEDKYup7jr0Qzj9u0h5Wo3Wo3+UBYb0lAe0waD5+PgXSPln7TaiH8L/vkOq+z6bDL0+hFT3DzajHyqDXyBVv73FIFytyESkWsfZapBc3UxF4mQmjNmGfkh+wHaD5G8nISPlwvoO9EOzmsTMQHaRF2qnQeryINU4dBf6IVmcSFlMjt2GHm8i1bhqj0HqcJHyMHLtRT8kPx6pxjf7DFL/i/SWF36/QaglKBJDr+8dQD+k1rnRD8nbKQcNebVwpQ09vjuEfqgjLgBSVsfIw+iH1AegH5LD9yMGz+sMUveLjqIfUhfKIHl52hzDuEF+EfI5irPjcYO61ZdnbpC6r3AC7SZOKxYZKAvspEHyMH4j88sJ/yn0Q3L9HKnm/6cNXk9BuykLFqnuA501aIT8BdK3h/yXQYoBUk1HzqMfktUWWV6doEGqmiGbo/pkuoh2U1YLpLrNdwntprxQSLU+fhntpvwipCzOIld4XIXU61oGqdNCvpTL/dfQbsrDQMqPr3od7ab8M2SwqpgGSc4xN9j5TXZ+k53HsPMYdn6Lnd9i57fZ+W12foed32Hnd9n5XXZ+j53fY+f32fkDdv6AnT9k5w/Z+SN2/oidP2bnj9n5E3b+hJ0/ZedP2fl/7Pw/dv6MnT9j58/Z+XN2/oKdv2DnL9n5S3b+ip2/Yuev2flrdv6Gnb9h52/Z+Vt2/o6dv2Pn79n5e3b+gZ1/YOcf2flHdv6JnX9i55/Z+Wd2/oWdf2XnX9n5N3b+jZ1/Z+ff2fkPdv6Dncey81h2HsfO49j5T3b+k53Hs/N4dp7AzhPY+S92/oud/2bnv9n5H3b+h50nsvNEdp7EzpPY+V92/pedJ7PzZHaews5T2Pk/dv6Pnaey81R27mRq50jl3NnUzl1M7RypnLua2jlSOXcztXOkcp7G1M6Ryrm7qZ0jlXMPUztHKueepnaO1PfBTO0cqZx7mzx/MrVzH1M7RyrnvqZ2jlTO05raOVI5T2dq50jl3M/UzpHKub+pnSOV8wBTO0cq5zZTO0cq53ZTO0fq+yymdo5UzoNMXn8xtfNgk+8vmLzOaPL9Q1M7RyrnYSbJuzHTkIuPLpjlF25q50i9Hm1q50jl3DS1c6RybpnaOVI5d5jaOVI5T29q50i9z8DUzpHKeUZTO0cq55lM7RypnGc2tXOkcp7F1M6RynlWUztHKufZTO0cqZxnN7VzpN7HYWrnSLk83DWnqZ0jlfNcpnaO1PdlTO0cqZznMbXzvKZ2jlTVIp+pnSOV8/ymdo5UzguY2jlSFVNBUztHTpnxJi59IVM7R6r10cKmvp+H1OsVpnaOVNPxoijPvZ/67kcm1GgyoUQxUztHKufFTe0cqddrTO0cqZyXNLVzZCuPG2F1S5n6PidySLGt5RqVNrVzpHJextTOkTvnRU9qVxblKfdpIJXzcqZ2jlTOhamdI5VzYufEzsuz8wrsvAI7r8jOK7LzSuy8EjuvzM4rs/Mq7BwpD8eqatKRrl6Jq5Dq/mQ1k+SPNyLVfcbqKM/LZytsR6r7rDVMwrs77kWq+yk1TX3fAKn2T9RCecobAMhr3/CHESbJZajzyPfWxg/VaqM85Y0npLNcmIk0aSYu522kKb+gjkmb7TGVHiJlsTari/KssL3zM6RaV6ln0rPeqAHIbvJA6qM8cTifkPJrukeZeh0Uqe7rNTBJLj/9Qh4D1yENTb0ehcS7i4xqhPKUC46NUZ7xqBhIvc7Pzpuw86Yoz/pp1s5BymoU1AzlOebVxUVIdd+ouUnytscK5Mdq+IIWaDdfLAtYj1T3b1ui3URxbUWq9chWaDdxeruRJeWBtDb1+hdSfk2pNibJPz+OVPse2qLdvIoCRU5qhwNuh3ZT/gApb3NGtDcJtd8eg1TrotGmXv9DytusTTqg3ZR/iPyZ/nbPVh3Rbh6kMa+Q6SJRQzuh3cRl/9CJnXc29f1BZEUUf+8upr4/j1Trs11NvQ6JVLenu5n6fmt3tJs4nHHIDPgajx4myT+fgiwtL3hPky4tQoEiJVd7L7SbF/EDZC8Jq7ep75P0Zud90G7Kgu/Dzvuyc6Tad9PP1Ot7/dh5f3ben50PMElepqNIfwl1INpNuU8PKYur0iC0m/IdSHU/ejDaTRz2jcHsfAg7H8LOh5okf/wYqe6TD0O7KQ94GDsfzs6RV8Cm8whT3w9DvkU17zkS7aY8MaSslv1HmSSrWyJS3c8djXYT1SMVKS/7mDFoN+X+oLFoN+UXINXy+Di0mxICUu3TGG+SLIZ5SJssqAloN+U2jAnsfCI7n8jOJ7HzSex8MjufzM6nsPMp7HwqO5/Kzqex82nsfDo7n87OZ7DzGex8Jjufyc5nsfNZ7Hw2O5/Nzuew8znsfC47n8vO57Hzeex8Pjufz84XsPMF7HwhO1/Ezhex88XsfDE7X8LOl7Dzpex8KTtfxs6XsfPl7Hw5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw87XsPO17HwtO1/Hztex8/XsfD0738DON7Dzjex8IzvfxM43sfPN7HwzO9/Czrew863sfCs738bOt7Pz7ex8Bzvfwc53svOd7HwXO9/Fznez893sfA8738PO97Lzvex8Hzvfx873s/P97PwAOz/Azg+y84Ps/BA7P8TOD7Pzw+z8CDs/ws6PsvOj7PwYOz/Gzo+z8+Ps/AQ7P8HOT7Lzk+z8FDs/xc5Ps/PT7PwMOz/Lzs+y83Ps/Bw7P8/Oz7PzC+z8Aju/yM4vsvNL7PwSO7/Mzi+z8yvs/Ao7v8rOr7Lza+z8Gju/zs6vs/Mb7PwGO7/Jzm+y8xh2HsPOb7HzW+z8Nju/zc7vsPM77PwuO7/Lzu+x83vs/D47v8/OH7Dzh+z8ITt/xM4fsfPH7PwxO3/Czp+w86fs/Ck7/4+d/8fOn7Fz5He5DfQ5O3/Ozl+w8xfs/CU7f8nOX7HzV+z8NTt/zc7fsPM37PwtO3/Lzt+hPOWN+nfs/D07f8/OP5gkt12+QSY2DGjW8SM7/8jOP7HzT+z8s0lHa5U6+OszO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/wc5j2XksO49j53Hs/Cc7/8nO49l5PDtPYOcJ7PwXO//Fzn+b1F1uREKq/T9/TL2/4Q87T2TnyAIv6h2tlcTOk9j5X3b+l50ns/Nkdp5iktoGnsLO/7Hzf+w81aQK7ewTviFjknAATha1mPNjSzxS7Y9ytvR+UKTaN+9ikfq1q6WdI5VzN0s7RyrnaSxq8O5OnVlI5dzd0s6RyrmHRXI7wTKkcu5p0fq+uOLIQj6Pb2X1skhe/k1ItV/E2yL5051Ivb/b0vs+kGPktilfi/xkASHVfd20Fql990j89ZRK6SyqjK+7iLydVe6QtEhty0d+icKB+ls0RP4DKUu/YYCl98UiM+1dZbWwWfq+OVI+PdDObul9YUi1HyHQIrVtDtlHbhMMsij1wYYVcUj8z+7+wRaFyw9GblwRd29oiEVFJACk2m4baun792Eoz2S5EcgidZrhKE8c/gykOizDIvl185Ar5ceYlt6XgTycEQdqoTz1P0g9r+Gw9H4YpHKe3tL7BpFqn2gGi/Q+aouyyA3aGS29fxWp9tdksvQ+MaR6bCKzRfKynkeqfdFZLL3vCSmLt3ZWi0x1AS3ajOKIymZp58hzOPxm2S2qKx8jQar94Dks7RypnOe09D5kpF3+I5dFqy3USCS+ZV3f3JZ2jlT7FPNYdH8oTggpq/HIvBbFyuqZz6IRsmIjVXXKb+n9m0j93IhF8rLOQarLVdCiG7gMi5CqeAtZJIttBXKALI7CFsnTXIdUh1/EIoeEglT7jopa6mN2Iy/IXxezqL48UKRkW6q4pZ0j9T4/i/cxWRQkC7ykRWtR3S8jlfNSFqnHYpA1ZcUubdFDVKd7SHUfv4xFP3H5nyJHyQ8ua2nnyKXLJACLcsgKhpTF1lVY2jlSOSd2Tuy8PDsvz84rsPOKlt6XgNyOWulRyaJSCpRFlySzyuwcqVhUsaiXOiFL72erys6RqtpVY+fV2Hl1dl6dnddg5zXYeU12XpOd12Lntdh5BDuPYOe12Xltdh7JziPZeR12Xoed12Xnddl5PXZej53XZ+f12XkUO49i5w3YeQN23pCdN2Tnjdh5I3bemJ03YedN2HlTdt6UnTdj583YeXN23pydt2DnLdh5S3bekp23Yuet2Hlrdt6anbdh523YeVt23padt2Pn7dh5e3benp1Hs/Nodt6BnXdg5x3ZeUd23omdd2Lnndl5Z3behZ13Yedd2XlXdt6NnXdj593ZeQ923oOd92TnPdl5L3bei533Zue92Xkfdt6Hnfdl533ZeT923o+d92fn/dn5AHY+gJ0PZOcD2fkgdj6InQ9m54PZ+RB2PoSdD2XnQ9n5MHY+jJ0PZ+fD2fkIdj6CnY9k5yPZ+Sh2Poqdj2bno9n5GHY+lp2PZefj2Pk4dj6enY9n5xPY+QR2PpGdT2Tnk9j5JHY+mZ1PZudT2PkUdj6VnU9l59PY+TR2Pp2dT2fnM9j5DHY+k53PZOez2Pksdj6bnc9m53PY+Rx2Ppedz2Xn89j5PHY+n53PZ+cL2PkCdr6QnS9k54vY+WJ2vpidL2HnS9j5Una+lJ0vY+fL2Plydr6cna9g5yvY+Up2vpKdr2Lnq9j5ana+mp2vYedr2Pladr6Wna9j5+vY+Xp2vp6db2DnG9j5Rna+kZ1vYueb2Plmdr6ZnW9h51vY+VZ2vpWdb2Pn29j5dna+g53vYOc72flOdr6Lne9i57vZ+W52voed72Hne9n5Xna+z1LbGDfsY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnSPrVul5telxdn6cnZ9g5yfY+Ul2fpKdn2Lnp9j5aXZ+mp2fYedn2flZdn6OnZ9j5+fZOXJvw4tufhcsvb8TqZ7PuYjytOxlFiHVc2CX2Pkldn6ZnV9m51fY+RV2fpWdX2Xn19j5NXZ+nZ1fZ+c3LP38BFLt/76J8lyQ3PbyTXYew85j2Pktdn6Lnd9m58i08sGGOxbJx99e3mHnd9k5Uj2HcA/luSs3fUO2kA/K3Ud5PveMjkcOlK8HKE+/d5OTkHM2RC0b/tAi9Zz2I4ufH0B5dl91x/2xRSi9d5ORDZYN/+P7xNLPGyHV/uinaDfbXs6/ADklqXiFsP/QbsoPRKrnop5Z+rk1pNyOnPW5pZ93QD6eeHNX7hcoT/nFyPgD2+4VfInyrG182IeUh1f8lUXya48ic8kCfI3yxNtOIyvJ1xu0m0/2NLyIVM/lvrX0Pnuk2k/6DuUpTwQ57xbe+N7SzwMhdzodftD8A9rNRdk/PUeqffsfUZ7yhJHq+b1PFqGUC39BpsrHuD+j3cyKM0Gqxz2+WPq5RaR67uyrpZ/3QkbKB8S/od3E4bl9R7uJr52IlB/n/cPSz+8gA+Qr1iK523ceMo+sqHGWfk4QKRlZP9Fuym3HyDbyjfHsHDlMVugEtJvRKEGkrFb5f1kkHz/Yg1TPrfxGuykfw0eqbe1/0G7icpxEymKukGjp/b1IZ/nFSWg3cbpXkeo5979oN3F4t5DqeYZki+THPUhm5yloN//DC9m1P67wP4tw1VzeICeAW8dUtJuyoJFq/7STg/LJNyL1czoO/Twn8r58bMzFQe3kBUGqfdCuDhohP9DNQT64vOOR8rJ5pnHofe5I5dzdoZ0jlXMPh3aOVM49HSQPbwXSVV5gLwfJj1uHlG/L7u2grVvwQpaQkHwchKt2cxeyvqwIvg69nxwpeZRK6yD1/DZSPX+SzqGdI5VzP4d2jpTVpZa/g2Q1uIl8KB8DDXCQvGz3kPJyNLY5+LkRh3Zud2jnyBwScKCD9svHVpHKeZBDO0cq58EO7RypnIc4tHOkch7q0M7DHNo5UjkPd2jnSOXccGjnSOXcdGjnSOXccmjnSOXc4dDOkcp5eod2jlTOMzi0c6RyntGhnSOV80wO7RypnGd2aOdI5TyLQztHKudZHfw8jUM7z+bQzpHKeXaHdo5UznM4tHOkcp7ToZ0jlfNcDu0cqZzndmjnSOU8j0M7RyrneR3aOVI5z+fQzvM7tHOkcl7AoZ0jlfOCDu0cqZwXcmjnSOW8sEM7RyrnRRzaOVI5L+rQzpHKeTGHdo5Uzos7tHOkcl7CoZ0jlfOSDu0cqZyXcmjnSOW8tEM7RyrnZRzaOVI5L+vQzpHKeTmHdo5UzoVDO0cq58TOiZ2XZ+fl2XkFdl6BnVdk55XYeSV2XpmdV2bnVdh5FXZelZ1XZefV2Hk1dl6dnVdn5zXYeQ12XpOd12Tntdh5LXYewc4j2Hltdl6bnUey80h2Xoed12Hnddl5XXZej53XY+f12Xl9dh7FzqPYeQN23oCdN2TnDdl5I3beiJ03ZudN2HkTdt6UnTdl583YeTN23pydN2fnLdh5C3bekp23ZOet2Hkrdt6anbdm523YeRt23padt2Xn7dh5O3benp23Z+fR7DyanXdw0P+krfpA</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="160">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztzrEJwzAQBVAN5sIDuE2XJkUghSErZJSM4lEySiC+L1AWMIb3ms8XupNag4N9nvMv5/ue71v1tfK652upfhlze4z3cp772df31jvR5yrbNM6nZz4976b3f/3t6QkAAAAAAAAAAAAAAAAAAAAA5/AFpQoZxg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=391.285 Q3=345.400 sample=20 experiment=1 RT=0.81 ce=-45.00 name=deoxycholate" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztzzFqAkEYhuFttPYYlh7AYksJVl5ASaMgGBQF0cKFFHYSEERUxJhGBCtRkBDQRmwUIUWaFB4hRxD2mxHGCwjhfZqXf5n9d9bzgAfLL/2wg7U62qjRfdig8a35/Tes3/nR/KQGo5Pm3pd63KkRs+9z5c7pherN1f6Hmpyqs7FaMnN8aN57Uw9d1e+oqbZaeDV7X9RzXd3W1ElFzTXURFX9a6qxlmnZ7Mm68+3c/dxy99n72HP2Hvb79n6Xonn+7H7PNsi45+//yxYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD/zhUuekSm</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=407.280 Q3=343.300 sample=20 experiment=1 RT=1.50 ce=-45.00 name=Cholate_" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="460">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0T1LQlEcx3FfRkGDUIOjBO4uQjSEEO0SBBEIBha6xKUnIqKMoidByoqCIAh6WBWXhhqCaopwCIroYWmLIri//w3uRXsB8f0sX87xnOPxGAoB+FPXVtztR1mdLKolmx/dVnd2VWdD7bb1kVU1U1CzS2puWe1YUa/X/J/PLNj+WbWt4J/31tXn1Qs7LzrnPz887m80p7Y4dt+0Wum384ZsfsCat/Mm7D7T6rndx1lXvXf53lNLR26d+6q6f+k2XrzRuHzrdrPzQfM9j9p38O620qqGv17U3letO31zm/p8VqtPbutTOsep3emc9iv1rKbmT9TjQ9X7XyN2/+yi/f4xNWrvmhn21xlRvfcKNpS0dX2BJprM2zuHU43nf2vz4UEbpxt/n3cPbxyKBcbJQGOBdYlAg/uarAMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP/KD85Ugx0=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=429.374 Q3=163.000 sample=20 experiment=1 RT=0.47 ce=-30.00 name=α-tocopherol" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztzrEJgEAMBdAbxVHSOIKNjXAIglM4qqNYeI1BBCtB3mt+yE+RUuBj+xzn0N9njC2n1A9tX6+Z+259vs/9tsSb9wEAAAAAAAAAAAAAAAAAAADgbw5hWA5u</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=464.302 Q3=74.024 sample=20 experiment=1 RT=2.45 ce=-45.00 name=glycocholic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0TuKAkEUBVCXYOxmxsAlGJiNgamJCCYG4mcD4gIUDEwHDMwUEdcxS5glCL6uhm4/k6jROcnlVj2qu6hKBQBeZNSoP+2H5v39tJ7PfxfnUl927s+Vv5Pmlv3Iaq84n/9H1uuDbG4c2R5G/s2K+61J5HoRuf+55uj3GL17jv51it7cRtZWkbt55GZaPDdJ9yjnu5Xf5ZH/3vPVPnV/AAAAAAAAAAAAAAAAAAAAblwAD8kvJg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=498.290 Q3=498.290 sample=20 experiment=1 RT=1.60 ce=-10.00 name=Taurochenodeoxycholic_acid" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="660">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="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=20 experiment=1 RT=0.53 ce=-10.00 name=FFA16:0-d3" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztzz0OAUEYgOEtHEEUqi2VjrAnYY+glSj2DHqJRktCp1I4CPGXELI0WrGfGygonqd5MzPJNzNJAr/Vnj+yd8etTXQdzQa7aPNQdXXeR/unqunoWDV/xnrTvcT59BpzhmXVsvOZn0d7s9jPi3vs12/RIubkk7gvWXxai3uLZbwrbWyzrz4MAAAAAAAAAAAAAAAAAAAAAH/uBXexMOs=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=411.306 Q3=347.300 sample=20 experiment=1 RT=1.50 ce=-45.00 name=cholic_acid-d4" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt23VAFE0YBnBKWoE7enfP7u52XjsRA7sDu7u7u7u7u7s7sPOzu0FQQZDvmZn3/vgePzjudmfnN7WzkcaHfaNr1xRrD0Zvn+HVUpw8V/mJY0sHsW37w1YDInuIWleLxnVI6iPOipH7bNcHiJL7Lg04sXKI8DJWtMx5dZRIePJgdN8q40T6cmd3OB2eKHxSk2/VKDJVFGvz4d+DDTPE7pcf5+/xnS1GPio7uPGm+eLb6i4vV4olonmXhdXf318hVrUfX3ST/xphCxQXnu5fJ6qf2Xrb1XeTOHZUvraKEVaJjpU67xRl3279ne/Qbv75XrE8YP3x0yEHxIal5zLs6nNI7Mz6ZuyK60dE3ozp47s1PC7u1pl1PvOzk8J37uYxdaufFjtSpmSavfaMqNOp25mYlLMi7nZEW//G58W8svld6uy5IIrhIGb6XhIPbHHlb3a4LKYv7GEbe+qKUMVjXBPH6y3IOKP/ddHq+MDT12/eEM7ztu1yD4oR9aovH5XtTIxY8296nSo9b4mfe0dk6GDeFpU69/wx/vJtMd/R+tT6AXdENq+dNfwK3BUHfqbcHfTxrihbN7VKjrX3xPXStW/Nbn5ftMy2vNnfoAfim/+Xt+1vPhD9e3xtFDj5oUjTpMyr4RUeiQUVp3Z7//eRyJbv8a86+x+LbVOfdHLq+USUHZDrZ+ccT8X11oOH33n5VLSsecmj7NL/xLeiIXM2RD0T/eeGujVM91ykGdFxxsmLz0XNIs2mzaMXYl2vst4P1r4Qg979GVrG46W4lelJ4oguL0UudYIvxdilKxNcC74ST+XlnfdKFA1sHzvp9yvhNSV9u29NX4u2F5xfFjjxWlR1HeSTJccbsXHwxZyl5rwR0w6Ujcqb/EZ8zjO9T8UOb0VMZ9flxWLeiv0b5BveiSDr8lux7p1IaiL8C6d7L5rGzMhXfdB7US6tPNP3InONoWPz1/ogUParKx/4IDql0LUSGT6KS31nfao95aPY3EIW1Efhn+51s8rdPomBJ1aG5//vk/ivR/NHobU/i0rpwxa5nPwstt681/BL/i8iYNScoPurvohBBSLvngz4Kp6/8EGN+Coqz75Ud+7Pr2Jb+fH+w9t/E/4r2zQa9fSb6JtcdsXYqO+iVd+MnWuc/y4yqdcP8eDrhfnT2/wQZfPcXfJu+Q/hknti8KMbP8SRx1NSon//EPd9FzwobsWK2HKrd3tVjBW9VEWI1fV/Wqz4W7xC2PHtsWJi7PZMB27EioGyon6JFR07zzMK+cSJxus9QnvljBPf8DUvK8WJKx+6N9naLk5s8K6Stf+YODE2jwMfHSda1f51zPNUnCjd68ak28/iRNOEwziCOFFMXm7zp7CV7NLHUfqn+Na0QrkPTX6Kq8PCvfcM+ikU2yU/xYuBuODHforwuo+NYS9/ivq5bpQb5h4vbna4975L7njhRZe9u9aJFzjavF37x4sTDc7db7IkXvzJdyixycl4UdBzm9n0TbzYXmnv+WpeCWLhLL8hxXIn6PYhIkF8/4ZXjwTxI9Zcd2RugijcuOXzfocS+DolCMXc7ZfYffLLijJ5fonPx316jGj4S2Q9lqvsqVG/hNmo2AT71l+igXzd+yVm1u+XZWHqLzHh28jun3L+Fqfkn0X9Fomf5B/+FoU/Pn28c9Nv0f39382xt3+LDW/DBxdO+S1evC5ZrX/2PyLsVeOQg3X/iIDh7Vt7D/sjzoRkq59m7R/Rd8/7yk5X/ogsEZtL/P3xR8iz/xWSqOuPSBTPshcp1qZTonCUnp9YZF4il3uieHWui/vVz4nivGwmg5NEXlnNyydxfUwSbc7eyR29OEm3ixeSuJ4liQVVDmfcm+GvUIcZ8VeU2L3kdNyQv2Jyh6mzbZv+ClyNNoXu/RW5b3UrWM8lWQyb0MK5T/5kXS+bJ4s2UfWyr5qcLPZ4Vfx98kCycD1Z+OLz18kiShaPf4p48x0FXipF9Ot6ck219inC7f20HF+npwj5MTsPpwivu/2P9n6bIm5uR0MY8E8ce/GuYwr9E18GvL5yodc/8WjztY2rV/3T1z/mn+hRZNRBckkVo6qdHG6VSBXAgyqZqj2uShXloGTg7VTxUVZTFyeaO64RarATLclbpcaqfE7U4qDRqFgVJ8pQPrbdtRZOJL+lbX8n2hi1bPifaU6U7WTjuKnrnaiKLMYTTpTp4dXLKx44kWzte/5wotlN0DB4OVO1JfV6/8roTE5P7tY/UcqZpJbHdZ1J1YfOzjQIrXHSaGfK2t9liedSZ7qTo3j74H3OpNqDG86kmu8PzqTaPScXcv/6Yc64EBdqC+1d87mQqS6cCz24tPRjzeYu9N0evrRAPxeSrZ3XdBcqYaFFXu9C25Oadz9/woWeHdpTcNlDF1LtY6wLvWmJhsLblWTxRmd2pV8RE0u7lXalww+a49BdCVe1QYEuriQ+e7S9MNqVtCdXQmWv+XWPK6lqf9WVfvd/sSzgrSsVOj128Jp/rpTuRIHFuULdqLq8cAXdKKv76PkVa7rR8deB1uVoN2pwetO62qPc6Cs43F3iRuOHxextst+NrKbtSz+/6UaTtowf+e+DGxVteaS6r0saqtD6bUwmIw1BMRreNBRT6eGP+BppaHd/1Mw2aUg5HZSGDpTKNqjAzDS0sOub6/Hr01BY7W0ddh1LQ0kjuhzrdyeNPp9PaehfxaSvn53cCbgr7gpxp5Mfe01snd+dlq3JfDi5qjsNaXb/06LW7tSw8VjvjEPcCX+Va/Ncd9rlioq53Z2mOaEDveBOqlt84U6q/ia5U2XZrAR60IYBi/v1yOtBMenR0lT2oKRLpwL/tPCgLH3uvikzwIOKfPGeNXS6B1XYUjrnhvUehMFF0etHPcivgRyBeJDqlz540Ijdb0Jq/vOgA63qZukT6Em1mu/7ujqXJ8ne6qrwpHftb051ivKkylX7JPp19iTVnY3wpHZNd8wuPteT2qgD96T1OYM6pj/hSR8y3FseeMeTro9flzPovac+vyRPUpctrRfl2dmz1NOMXqT6/WJeZAwuPHxyTS+6WLP45PKtvShoWo1Pbv28qP21FjUvTcT7oie1a7HMi9SwZKcXlZEd0Fkvks1TjftedCXt4jRfP3jRq8I44b9epPtNb1L9WgZvmhSPhqawN61C65qlijctWYxXE29a3JtKTOvpTU8xShg9zpsqy8u92JtmrfpT8N0Obxouu4Vz3nTpVcB3+2Nvanyl0Lnd37ypilONho1dfWhQgyGjnEN8aLrrmTbDcvsQas+TxHI+tPzL4IBR9XxIdTvRPrT9XkGcug+lWTunlPN0H2opO75VPiRHE8f2+RAKA7J9aFjI0+Rtz31odce9n/om+FAHjDYdvr6Uttbo54sz+9KefD3WOpfxpUYBzTp2jvKl5J9V0RT6UsVJ5QoVGO9LspuasNyXem7I3/vWAV+yXw/OnDXGl6q/2XR58Bdfkr31I4+0hFp5qmTmtHSnz/Rji8ulpW2/ZceVVvvon1bXj9lpqfTzyOkLd6SlCwenPCx1NS3JUd+992lJNT9p0tHTKrImpKNEv48Hd1ZMR6q/bJOOUGtGVhuZjprPPJOQY1k6GjHtcFevw+lo1eRdLz/eS0dnJmxsdCUuHcnR6BY/P+oom/fcfrQ/6O/Vb9X9KHpL66h6Hf1I9YPj/Eh2F2Fr/GhBpwOhOU/7kWpfX/jRk4r3zohUPxqHajXd358+5cTALKM/jXJe+Di6kD+9311/cWRFf5LFeK2+P6nxXDt/ujL4S9S7vv50qhla3rH+dFAOx+b663q11p/i5PBjjz/d9zs3zfWMP8nqWOSWP916OG713+f+hFpe7uw3f9LjCn+SzXw93wB6jWoSbgRQdnmiOQPo7+hFqGEBtBXNTKfKAZS7LUZ89QJIju6etwwgNS7oGkBq3DgwgO4sPNTpydgAWl0BF3RWAN0IQ4Euw+f8CBuQZlMA5ZAVcW8ANVy5dfvDkwE0dkC/6meuBtCuCIz8HwTQtXV9u558FUADIh3BXb4G0OhsKOnfAXTUBS2ws43GFUKL422jSLK3OWu3ETr/8/tMm24fstqojBzA57NRh99v2qwuZqPW3sk3TGGjqZgVZKtq0+1epI1256ZvRRvZdHvf0kZD5MC+g40G9DbSvuiOz1PjIhtdqIaGeaiNqksoo20kZwETJtoo464+nWZPt1F/NIsL59roz/uZDdcstlGtH61XbFpp0+3ZehuhkZl2eKuNNjWS8GykhpMHbTRy5vsM947bSPXvZ3Eccpx12aZ93rARJitnwu/atLtHNmrUDCOpZ/g5RuMN3thIttYnPuLnX/Ifzf7dRrL3nxVv0w4SbdRw+I4DbVPxc9d8+6+62UnNR7zs1A3NfdZ0dqqTHNr3gc3O/aSdSsgLZ9hp8YvTZeqmt9NVdONFM9spZVv6SWHZ7ZR/7o3tKbnsul3JZ9f1v5CdMAkbvqOYnWQzsrCUndA5ZB9azk6Hqzyr1aqCnYwoz1tVq9gpotTBX7lr2GkkZk3+te30Ii8+qa5du2pip1q2lmhK7fRJdi8d7TTp5q7c1AOfK1/97aSG2cPsNMe26fOAsXYqgNZh4hQc3y90qLPttLQBKtQiO+l5q53kr7est+vy3GEnUzYAR+z0EqeXesFOclaZ7Y6dusgDfc7H9wmfezS7n0+Cnd6g+32baqfL+Rckt/UKpFGZ5916YgskPf4OJNktXc8aSGo+mD+QJoV5jDtbIpDU/KZCICU4oeBrBtLWePyjQSCpaXLLQCqC0VzJToH06ch/h/b0DqQYOX0ZGkgTLked3jQuUNffGYEUt6tO1yULA2nzutpkXx1IrRbVCpq2JVD3m/sC6e+Gs9aY44Ekh5dJFwJJzvr6xgSSY8zxZV8eBepxyutAmtIZJ/glkMrLgdqvQJK1/25qIP3XNV+WCK8gmtsqT+J5WxBVlxMEM4jkbPVg1iDtJH8QdcsnR85BpOa/FYLIsyxKumYQqWFLgyCSw9JZLYMod+j8u16dguilnHb1DiL8dMTfIUEU8XNG/X7jgqhwOs+JsdOD6KOze/MuC4NoFWadr1cFUUP5gy1B5Ptf6uO7e4NI9o4Rx4No8Lm/4y5cCKL8ciATE0RBsqF/FKTr5esgGrqp6Z/334Moz5RKM5YkB/H5BJOeXweT/LrtmYJ5vBJMPa82texlgimDghZMajraIJhG9wp9nqttMKl5Xo9g2uvbe9vUocHUTk6sJgVToBxAzQumc7vRca0OJjXP3hGsx6FHg+k+Lt/Ri8G6P7sbTJ4/K6UYL4NJzUNjg0mPm0MI/x3jYQ8hNd/LHEJ6/SREu68eQpHyQrUMofFyeN0rhI5kedng4+gQ0vOrEB5Hh1CeaMx0DoYQJs8bvC+EUF45XbwVQnrehfePR0X6EEJdZMHHh3A9DqEWqqMLpQdr0YGEhFLdrksGLssUSpJHvnyhVEl1qKF0AizqVw4lOYp5WyeUdqMaDmweytc3lNY9P5FuWd9Qcmz8UC3fyFBaJJdPpoRSQDFZc0NJDgdfrA4lOXrqsz2UIqMh4nAoXcrTqerCc6FUIX726JwxoaTWd56EUtGxbxMi3oeSGh7GhVJOObH9F0prHrVd5+YdRubqac8WBIVRh/Klj2TJGEYvPKPjD+QJI7WeUCJM9zcVwyii1as13SPD6GI21KSmYURyYaRDGB3ZLweEYYTR2dQDw8N0eU8Oo+yyws0Lo1V33Et1XxVGn/ui594aRu3lgOFgGD1z8ZqS/mwYt8dhdGt2838VH4dRzSYTStx/G0bnM6ADiA3T5ZYYpvt3l3BSw1bvcN3/2sKpt2wQjXCS3cLIzOHUSw6Ucofr+UeRcFqBYppeJpzk9ONtpXBafrF2dLmIcH3eDcJp6ZArjb63CNftaIdwuoJmYl2PcKqeLzVjyoBwkqtADUaGU7WXQwJ3TAyni0cOTXefFU5V5v1yb7UonC50xwRvVTipdabN4RQvh1u7w0ktexwOp59JaEjO8HFf4eO+HU6rdjyZnvtJOGWQDdvrcFLLJp/DSc7yK/4Ip4hxaSN3xoeTr4STGE7XRmICmRJOU1Oif79xNnR/6m5QyQxoeb0N+rO85D+Hn0FyujjBbtCGU9+vxYYYJKtHE9MgtS6QwZC9+p3cWQ268+yFz9ycBs1BsSflNUgNywoZRHJ5sphBclhYp7hBcvh+B/kBw+iGJQzqLyeEyDty2a+kQXI69ARpQVHbUgYNDdxR9SVSLm+0L22QWm9DZpYD2TIGyW79K1KumvUqa9DV1ZUP/EQ2lh1LOYPHxwb1xduGCYOc5IsMUuuISAPDc/fyBm26ICcChp6XVTDobEKO5jORdeQbKxqEd2GiZxBmW3NDK6F86r9evxQ5/nPdQ47KBtnUwpjB432D8u5Z/n0jUs7yclc19PVG3hv0MVvBagbJs92H/LERX1zdoOFCfrNB6jRqGNopUs8vDZIfdwGp3lYL5XkNL6ScVkZGGKTXLwzd3tU2dPuIlMPh5pGGnn8it+BdbesY3F4Y2kVdg+odcuBUDJLD7x71DFLrNkg1v6xvkBwG/UbKyzEkyqA1KOYUpCy+0Q0MksXi1tCgGrKCIVW71cjQPpF6XdegkbIAkaoeNjF4XmRQdrWAZZAaDiDVvLiZQTd/o6CRalzf3CCUnuc2pGo/Wxjk1jBd3j1IeXWLtjQovbwgSFVdWhl6fIHU8zyDonDZziHV5WhjUE954ZDJsvjaGiSLJQYZIk+3ncHjd4PU4bU3SDXbyFry46INkm97jeygXgbFy2VkJK7a1G4dDUonKwJymVwO74TyLIKBN3LitTED+nU2qJJcPkbqdV6D1LJAV4O+oFqNRw6WJ9zNIHf1gYZe/+hu6PEsUl6OwB6GnjchL6P4wnsaJItlOVKeboZeBvVWQAz6h8PL1tsg+bWbkXKZLkcflCeG9VuRbr6H7ubri/Jcm+39bqRaZ+uH8rzt6nsIqZYx+xuklpmRUZjtlB+A8sQw9xyyh+w4BqI8W6ElRE7+7TU9YpBBwTMHrYxBrsPH1h+M8pQLLki17jIE5fm10MenyEeY7rQaivKUC0BIPY5EedbEG5BqOW+4odtZpOp/Rhh0YPPGYQnIiuXxTSMNPW9CqnnvKIPkMo/zaJTnypiH45DuxcVnjzEGyWHyFKQc5qYbi/KU9yOQ8rQDxxm6H0Q2xGGGj0d54uuXI9U68gSUp7x9gVTzlYkGhR5J3b8ZuaEuSmKSQWodFCmXlQpNNqi2fAPyyc4ctpJTDMKnZzmGTHiWpriYauj5FVItf00zaPl6fBAyt1yYmm4Qrs7cG0gcxfq6M9Bu4rLcRRbsl9q1/kyUp0+PEfeRNdc+ndVkFsqzlPwXyvP24f2tZqM8O2NGh1Tz1TkoT7mMgVxaAB8w19DzPaRal5mH8vx9slgCUo2/5ht6vIZU68MLDL0esdDQ8xKkWm9chPKUA3jkjr1FrqRdjPKUh4FU6xpLDD3/QKr561KUp7yBgFS3FZahPB/iwJGh6hcGyVHWZmThlRPG5FmB8sRR7URG3Gi3sdBKlGc0ThCp10FRnvN2PjuK1OvzKE85rUbK0WblNQbJuzOXkIemyC9CeWaqGnEDKYup7jr0Qzj9u0h5Wo3Wo3+UBYb0lAe0waD5+PgXSPln7TaiH8L/vkOq+z6bDL0+hFT3DzajHyqDXyBVv73FIFytyESkWsfZapBc3UxF4mQmjNmGfkh+wHaD5G8nISPlwvoO9EOzmsTMQHaRF2qnQeryINU4dBf6IVmcSFlMjt2GHm8i1bhqj0HqcJHyMHLtRT8kPx6pxjf7DFL/i/SWF36/QaglKBJDr+8dQD+k1rnRD8nbKQcNebVwpQ09vjuEfqgjLgBSVsfIw+iH1AegH5LD9yMGz+sMUveLjqIfUhfKIHl52hzDuEF+EfI5irPjcYO61ZdnbpC6r3AC7SZOKxYZKAvspEHyMH4j88sJ/yn0Q3L9HKnm/6cNXk9BuykLFqnuA501aIT8BdK3h/yXQYoBUk1HzqMfktUWWV6doEGqmiGbo/pkuoh2U1YLpLrNdwntprxQSLU+fhntpvwipCzOIld4XIXU61oGqdNCvpTL/dfQbsrDQMqPr3od7ab8M2SwqpgGSc4xN9j5TXZ+k53HsPMYdn6Lnd9i57fZ+W12foed32Hnd9n5XXZ+j53fY+f32fkDdv6AnT9k5w/Z+SN2/oidP2bnj9n5E3b+hJ0/ZedP2fl/7Pw/dv6MnT9j58/Z+XN2/oKdv2DnL9n5S3b+ip2/Yuev2flrdv6Gnb9h52/Z+Vt2/o6dv2Pn79n5e3b+gZ1/YOcf2flHdv6JnX9i55/Z+Wd2/oWdf2XnX9n5N3b+jZ1/Z+ff2fkPdv6Dncey81h2HsfO49j5T3b+k53Hs/N4dp7AzhPY+S92/oud/2bnv9n5H3b+h50nsvNEdp7EzpPY+V92/pedJ7PzZHaews5T2Pk/dv6Pnaey81R27mRq50jl3NnUzl1M7RypnLua2jlSOXcztXOkcp7G1M6Ryrm7qZ0jlXMPUztHKueepnaO1PfBTO0cqZx7mzx/MrVzH1M7RyrnvqZ2jlTO05raOVI5T2dq50jl3M/UzpHKub+pnSOV8wBTO0cq5zZTO0cq53ZTO0fq+yymdo5UzoNMXn8xtfNgk+8vmLzOaPL9Q1M7RyrnYSbJuzHTkIuPLpjlF25q50i9Hm1q50jl3DS1c6RybpnaOVI5d5jaOVI5T29q50i9z8DUzpHKeUZTO0cq55lM7RypnGc2tXOkcp7F1M6RynlWUztHKufZTO0cqZxnN7VzpN7HYWrnSLk83DWnqZ0jlfNcpnaO1PdlTO0cqZznMbXzvKZ2jlTVIp+pnSOV8/ymdo5UzguY2jlSFVNBUztHTpnxJi59IVM7R6r10cKmvp+H1OsVpnaOVNPxoijPvZ/67kcm1GgyoUQxUztHKufFTe0cqddrTO0cqZyXNLVzZCuPG2F1S5n6PidySLGt5RqVNrVzpHJextTOkTvnRU9qVxblKfdpIJXzcqZ2jlTOhamdI5VzYufEzsuz8wrsvAI7r8jOK7LzSuy8EjuvzM4rs/Mq7BwpD8eqatKRrl6Jq5Dq/mQ1k+SPNyLVfcbqKM/LZytsR6r7rDVMwrs77kWq+yk1TX3fAKn2T9RCecobAMhr3/CHESbJZajzyPfWxg/VaqM85Y0npLNcmIk0aSYu522kKb+gjkmb7TGVHiJlsTari/KssL3zM6RaV6ln0rPeqAHIbvJA6qM8cTifkPJrukeZeh0Uqe7rNTBJLj/9Qh4D1yENTb0ehcS7i4xqhPKUC46NUZ7xqBhIvc7Pzpuw86Yoz/pp1s5BymoU1AzlOebVxUVIdd+ouUnytscK5Mdq+IIWaDdfLAtYj1T3b1ui3URxbUWq9chWaDdxeruRJeWBtDb1+hdSfk2pNibJPz+OVPse2qLdvIoCRU5qhwNuh3ZT/gApb3NGtDcJtd8eg1TrotGmXv9DytusTTqg3ZR/iPyZ/nbPVh3Rbh6kMa+Q6SJRQzuh3cRl/9CJnXc29f1BZEUUf+8upr4/j1Trs11NvQ6JVLenu5n6fmt3tJs4nHHIDPgajx4myT+fgiwtL3hPky4tQoEiJVd7L7SbF/EDZC8Jq7ep75P0Zud90G7Kgu/Dzvuyc6Tad9PP1Ot7/dh5f3ben50PMElepqNIfwl1INpNuU8PKYur0iC0m/IdSHU/ejDaTRz2jcHsfAg7H8LOh5okf/wYqe6TD0O7KQ94GDsfzs6RV8Cm8whT3w9DvkU17zkS7aY8MaSslv1HmSSrWyJS3c8djXYT1SMVKS/7mDFoN+X+oLFoN+UXINXy+Di0mxICUu3TGG+SLIZ5SJssqAloN+U2jAnsfCI7n8jOJ7HzSex8MjufzM6nsPMp7HwqO5/Kzqex82nsfDo7n87OZ7DzGex8Jjufyc5nsfNZ7Hw2O5/Nzuew8znsfC47n8vO57Hzeex8Pjufz84XsPMF7HwhO1/Ezhex88XsfDE7X8LOl7Dzpex8KTtfxs6XsfPl7Hw5O1/Bzlew85XsfCU7X8XOV7Hz1ex8NTtfw87XsPO17HwtO1/Hztex8/XsfD0738DON7Dzjex8IzvfxM43sfPN7HwzO9/Czrew863sfCs738bOt7Pz7ex8Bzvfwc53svOd7HwXO9/Fznez893sfA8738PO97Lzvex8Hzvfx873s/P97PwAOz/Azg+y84Ps/BA7P8TOD7Pzw+z8CDs/ws6PsvOj7PwYOz/Gzo+z8+Ps/AQ7P8HOT7Lzk+z8FDs/xc5Ps/PT7PwMOz/Lzs+y83Ps/Bw7P8/Oz7PzC+z8Aju/yM4vsvNL7PwSO7/Mzi+z8yvs/Ao7v8rOr7Lza+z8Gju/zs6vs/Mb7PwGO7/Jzm+y8xh2HsPOb7HzW+z8Nju/zc7vsPM77PwuO7/Lzu+x83vs/D47v8/OH7Dzh+z8ITt/xM4fsfPH7PwxO3/Czp+w86fs/Ck7/4+d/8fOn7Fz5He5DfQ5O3/Ozl+w8xfs/CU7f8nOX7HzV+z8NTt/zc7fsPM37PwtO3/Lzt+hPOWN+nfs/D07f8/OP5gkt12+QSY2DGjW8SM7/8jOP7HzT+z8s0lHa5U6+OszO//Czr+y86/s/Bs7/8bOv7Pz7+z8Bzv/wc5j2XksO49j53Hs/Cc7/8nO49l5PDtPYOcJ7PwXO//Fzn+b1F1uREKq/T9/TL2/4Q87T2TnyAIv6h2tlcTOk9j5X3b+l50ns/Nkdp5iktoGnsLO/7Hzf+w81aQK7ewTviFjknAATha1mPNjSzxS7Y9ytvR+UKTaN+9ikfq1q6WdI5VzN0s7RyrnaSxq8O5OnVlI5dzd0s6RyrmHRXI7wTKkcu5p0fq+uOLIQj6Pb2X1skhe/k1ItV/E2yL5051Ivb/b0vs+kGPktilfi/xkASHVfd20Fql990j89ZRK6SyqjK+7iLydVe6QtEhty0d+icKB+ls0RP4DKUu/YYCl98UiM+1dZbWwWfq+OVI+PdDObul9YUi1HyHQIrVtDtlHbhMMsij1wYYVcUj8z+7+wRaFyw9GblwRd29oiEVFJACk2m4baun792Eoz2S5EcgidZrhKE8c/gykOizDIvl185Ar5ceYlt6XgTycEQdqoTz1P0g9r+Gw9H4YpHKe3tL7BpFqn2gGi/Q+aouyyA3aGS29fxWp9tdksvQ+MaR6bCKzRfKynkeqfdFZLL3vCSmLt3ZWi0x1AS3ajOKIymZp58hzOPxm2S2qKx8jQar94Dks7RypnOe09D5kpF3+I5dFqy3USCS+ZV3f3JZ2jlT7FPNYdH8oTggpq/HIvBbFyuqZz6IRsmIjVXXKb+n9m0j93IhF8rLOQarLVdCiG7gMi5CqeAtZJIttBXKALI7CFsnTXIdUh1/EIoeEglT7jopa6mN2Iy/IXxezqL48UKRkW6q4pZ0j9T4/i/cxWRQkC7ykRWtR3S8jlfNSFqnHYpA1ZcUubdFDVKd7SHUfv4xFP3H5nyJHyQ8ua2nnyKXLJACLcsgKhpTF1lVY2jlSOSd2Tuy8PDsvz84rsPOKlt6XgNyOWulRyaJSCpRFlySzyuwcqVhUsaiXOiFL72erys6RqtpVY+fV2Hl1dl6dnddg5zXYeU12XpOd12Lntdh5BDuPYOe12Xltdh7JziPZeR12Xoed12Xnddl5PXZej53XZ+f12XkUO49i5w3YeQN23pCdN2Tnjdh5I3bemJ03YedN2HlTdt6UnTdj583YeXN23pydt2DnLdh5S3bekp23Yuet2Hlrdt6anbdh523YeVt23padt2Pn7dh5e3benp1Hs/Nodt6BnXdg5x3ZeUd23omdd2Lnndl5Z3behZ13Yedd2XlXdt6NnXdj593ZeQ923oOd92TnPdl5L3bei533Zue92Xkfdt6Hnfdl533ZeT923o+d92fn/dn5AHY+gJ0PZOcD2fkgdj6InQ9m54PZ+RB2PoSdD2XnQ9n5MHY+jJ0PZ+fD2fkIdj6CnY9k5yPZ+Sh2Poqdj2bno9n5GHY+lp2PZefj2Pk4dj6enY9n5xPY+QR2PpGdT2Tnk9j5JHY+mZ1PZudT2PkUdj6VnU9l59PY+TR2Pp2dT2fnM9j5DHY+k53PZOez2Pksdj6bnc9m53PY+Rx2Ppedz2Xn89j5PHY+n53PZ+cL2PkCdr6QnS9k54vY+WJ2vpidL2HnS9j5Una+lJ0vY+fL2Plydr6cna9g5yvY+Up2vpKdr2Lnq9j5ana+mp2vYedr2Pladr6Wna9j5+vY+Xp2vp6db2DnG9j5Rna+kZ1vYueb2Plmdr6ZnW9h51vY+VZ2vpWdb2Pn29j5dna+g53vYOc72flOdr6Lne9i57vZ+W52voed72Hne9n5Xna+z1LbGDfsY+f72fl+dn6AnR9g5wfZ+UF2foidH2Lnh9n5YXZ+hJ0fYedH2flRdn6MnSPrVul5telxdn6cnZ9g5yfY+Ul2fpKdn2Lnp9j5aXZ+mp2fYedn2flZdn6OnZ9j5+fZOXJvw4tufhcsvb8TqZ7PuYjytOxlFiHVc2CX2Pkldn6ZnV9m51fY+RV2fpWdX2Xn19j5NXZ+nZ1fZ+c3LP38BFLt/76J8lyQ3PbyTXYew85j2Pktdn6Lnd9m58i08sGGOxbJx99e3mHnd9k5Uj2HcA/luSs3fUO2kA/K3Ud5PveMjkcOlK8HKE+/d5OTkHM2RC0b/tAi9Zz2I4ufH0B5dl91x/2xRSi9d5ORDZYN/+P7xNLPGyHV/uinaDfbXs6/ADklqXiFsP/QbsoPRKrnop5Z+rk1pNyOnPW5pZ93QD6eeHNX7hcoT/nFyPgD2+4VfInyrG182IeUh1f8lUXya48ic8kCfI3yxNtOIyvJ1xu0m0/2NLyIVM/lvrX0Pnuk2k/6DuUpTwQ57xbe+N7SzwMhdzodftD8A9rNRdk/PUeqffsfUZ7yhJHq+b1PFqGUC39BpsrHuD+j3cyKM0Gqxz2+WPq5RaR67uyrpZ/3QkbKB8S/od3E4bl9R7uJr52IlB/n/cPSz+8gA+Qr1iK523ceMo+sqHGWfk4QKRlZP9Fuym3HyDbyjfHsHDlMVugEtJvRKEGkrFb5f1kkHz/Yg1TPrfxGuykfw0eqbe1/0G7icpxEymKukGjp/b1IZ/nFSWg3cbpXkeo5979oN3F4t5DqeYZki+THPUhm5yloN//DC9m1P67wP4tw1VzeICeAW8dUtJuyoJFq/7STg/LJNyL1czoO/Twn8r58bMzFQe3kBUGqfdCuDhohP9DNQT64vOOR8rJ5pnHofe5I5dzdoZ0jlXMPh3aOVM49HSQPbwXSVV5gLwfJj1uHlG/L7u2grVvwQpaQkHwchKt2cxeyvqwIvg69nxwpeZRK6yD1/DZSPX+SzqGdI5VzP4d2jpTVpZa/g2Q1uIl8KB8DDXCQvGz3kPJyNLY5+LkRh3Zud2jnyBwScKCD9svHVpHKeZBDO0cq58EO7RypnIc4tHOkch7q0M7DHNo5UjkPd2jnSOXccGjnSOXcdGjnSOXccmjnSOXc4dDOkcp5eod2jlTOMzi0c6RyntGhnSOV80wO7RypnGd2aOdI5TyLQztHKudZHfw8jUM7z+bQzpHKeXaHdo5UznM4tHOkcp7ToZ0jlfNcDu0cqZzndmjnSOU8j0M7RyrneR3aOVI5z+fQzvM7tHOkcl7AoZ0jlfOCDu0cqZwXcmjnSOW8sEM7RyrnRRzaOVI5L+rQzpHKeTGHdo5Uzos7tHOkcl7CoZ0jlfOSDu0cqZyXcmjnSOW8tEM7RyrnZRzaOVI5L+vQzpHKeTmHdo5UzoVDO0cq58TOiZ2XZ+fl2XkFdl6BnVdk55XYeSV2XpmdV2bnVdh5FXZelZ1XZefV2Hk1dl6dnVdn5zXYeQ12XpOd12Tntdh5LXYewc4j2Hltdl6bnUey80h2Xoed12Hnddl5XXZej53XY+f12Xl9dh7FzqPYeQN23oCdN2TnDdl5I3beiJ03ZudN2HkTdt6UnTdl583YeTN23pydN2fnLdh5C3bekp23ZOet2Hkrdt6anbdm523YeRt23padt2Xn7dh5O3benp23Z+fR7DyanXdw0P+krfpA</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>eJzt0i1LQ1EcgPFbBhbF97A0wWC02OcncIJmhzgQQdhkDhUZ15egYlIYSzKwLBjsGgYW49QmosNkWtQq/F8unBv8APL8ysPuzjn33HtPFAH4U1zKS8sVbW5d29vQxrvh9c6q/a5qu1th4+1wPV8/Vw7XiZdT9ymF82f3wybrb4b78v/9fr6/aM5aCOv39f9zxXB936evG59qZ5ra1rX29U778STt/Lxr+31p7+pb2nzJzMv2Loek3cVRaXNpTHq8Mik9mZqQrhXGpdM7Oq68MKzziiPSdmVAWhyMtI0vuU+r1JPms8+6r88HbeZe+3arrbft+W7see15si17Dw173jNt9cLGn2t7dW35wMbXtI+xrZd+f/adku9s79O/l8/bObL5h+Hv9Hfu7oXzvX7dz0f6vCXntZbaj433c5OcAxvv5wMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPwrv+bzfdU=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=183.082 Q3=82.000 sample=20 experiment=1 RT=2.10 ce=-30.00 name=hippuric_acid-d5" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="304">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0iFPw0AYBuD9hLlZFD8Csyb8gckFNTGBgEAQ2FUiZzAoHGIOOVWDR5Bgp8AuATzJfe2Su6ViYJ/HvLn2u/uudx0MADhYPan+Nq+qsjy0vi+bab5eN+72Wfbb639ZZTlctOveR54+p6zrl5TN6D3l0clHyuHTNuVs/B31Zz8pN8dfMW/1GfOu3uL9xTpy+xC5uYtc1pGvt/l3NfPIx1m+zy6X1+06523dTV5fnk/veU7y7PruzSvuv9xnX/3uXorzL5/3/Sdl33K8Ox8AAAAAAAAAAAAAAAAAAAD4n1+Agk90</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=169.103 Q3=152.100 sample=20 experiment=1 RT=2.52 ce=-15.00 name=phenylalanine-d5" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="368">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0rFLAlEcwPEb7w9IdGhwUBuEaGhyskFwdAnaEqFFECIaG3SRxqjDoUF0aEmC3B2UprYocJY2XZQmF0P6/d4d3LNDiMbvZ/lyP+6983nnOAAA/JdCPtT6qbk+Ds+Da3vdlv2CdVH7WfPg+VH32c+x5v76fPX3ff35xjl99u80fbvSli60ybZ2PpJO0p/S89i3NDXbOfppwstIc69ZaWt3T+rtx6WTl5Xc36lMpUN3rK29S+vPur/zMdA2+9rMk/agp71+1Lpd7deD9vA+PF965lx32vKNOZeZn9xqi83wud2GdnFp1p+ZbnuvRvB/+6K+HwAAAAAAAAAAAAAAAAAAAAAAAAAAAADAX60BmmNKvg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=121.100 Q3=121.100 sample=20 experiment=1 RT=3.11 ce=-10.00 name=proline-d7" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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=121.045 Q3=76.100 sample=20 experiment=1 RT=3.97 ce=-15.00 name=succinic_acid-13C4" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="176">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0bsNgzAUBVCPwAgZhZYR6CJRpU4XUVjKBFmAAehYIQVzIeWVBCGEozTnNFf+6NqyUwIAgD/JTV1039Ge3NZf17fm93pX/YXuvaW6R3/1jBzGyMf7k3mOTM0U2b8ir7fISxdZ6h9W77YzPnseAAAAAAAAAAAAAAAAAAA/swDzgBwW</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=150.093 Q3=131.100 sample=20 experiment=1 RT=3.80 ce=-15.00 name=glutamine-d5" defaultArrayLength="2259" 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="14136">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="268">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0TFqAkEUBmDRe+QMKbXbtGnstUznEayGHCCNAQ/gBURsBYsUaXIEYYvcIF2qwLwdQVE3aCff1/y8nZk3zNtOBwCAu5Geq6vWj7+XOo2q0+uTy/f89/7S/1bHfeuX033b5rPf17yv9HmcR34sIwefOauH75zL4W/O+qv3lLe/dSNnP7FvvMuZNnEujbbRp7tq7llErt8j+6+Radpk+Q+Tw7rtXW3zLe8r5/f1mXPn5goAAAAAAAAAAAAAAAAAwN35A88FNPc=</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=20 experiment=1 RT=3.45 ce=-10.00 name=Glyoxylate">25786</offset>
      <offset idRef="SRM SIC Q1=74.025 Q3=74.025 sample=20 experiment=1 RT=3.89 ce=-10.00 name=glycine">46012</offset>
      <offset idRef="SRM SIC Q1=87.009 Q3=87.009 sample=20 experiment=1 RT=2.16 ce=-10.00 name=Pyruvic_acid">62730</offset>
      <offset idRef="SRM SIC Q1=87.045 Q3=86.900 sample=20 experiment=1 RT=1.02 ce=-15.00 name=1-butyric_acid">79497</offset>
      <offset idRef="SRM SIC Q1=88.040 Q3=88.040 sample=20 experiment=1 RT=3.63 ce=-10.00 name=alanine_">96207</offset>
      <offset idRef="SRM SIC Q1=89.024 Q3=89.024 sample=20 experiment=1 RT=2.87 ce=-10.00 name=L-lactic_acid">112958</offset>
      <offset idRef="SRM SIC Q1=102.056 Q3=101.900 sample=20 experiment=1 RT=2.98 ce=-10.00 name=dimethylglycine_(DMG)">129838</offset>
      <offset idRef="SRM SIC Q1=103.040 Q3=56.910 sample=20 experiment=1 RT=2.39 ce=-30.00 name=2-hydroxyisobutyric_acid">146606</offset>
      <offset idRef="SRM SIC Q1=103.040 Q3=56.900 sample=20 experiment=1 RT=2.39 ce=-30.00 name=2-hydroxybutyric_acid">163259</offset>
      <offset idRef="SRM SIC Q1=104.035 Q3=74.000 sample=20 experiment=1 RT=4.06 ce=-30.00 name=L-serine">179896</offset>
      <offset idRef="SRM SIC Q1=112.054 Q3=68.003 sample=20 experiment=1 RT=1.73 ce=-15.00 name=creatinine">196369</offset>
      <offset idRef="SRM SIC Q1=114.056 Q3=114.056 sample=20 experiment=1 RT=3.30 ce=-10.00 name=Proline">213037</offset>
      <offset idRef="SRM SIC Q1=115.004 Q3=70.900 sample=20 experiment=1 RT=4.19 ce=-15.00 name=fumaric_acid">229862</offset>
      <offset idRef="SRM SIC Q1=116.047 Q3=73.900 sample=20 experiment=1 RT=3.70 ce=-15.00 name=guanidinoacetic_acid">246469</offset>
      <offset idRef="SRM SIC Q1=116.072 Q3=116.070 sample=20 experiment=1 RT=3.05 ce=-10.00 name=valine">263080</offset>
      <offset idRef="SRM SIC Q1=116.072 Q3=116.072 sample=20 experiment=1 RT=4.03 ce=-10.00 name=5-Amino_pentanoic_acid">279983</offset>
      <offset idRef="SRM SIC Q1=117.019 Q3=73.100 sample=20 experiment=1 RT=3.96 ce=-30.00 name=Succinic_acid">296689</offset>
      <offset idRef="SRM SIC Q1=117.056 Q3=71.000 sample=20 experiment=1 RT=1.89 ce=-15.00 name=2-hydroxyisovaleric_acid">313141</offset>
      <offset idRef="SRM SIC Q1=118.051 Q3=54.900 sample=20 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）">329906</offset>
      <offset idRef="SRM SIC Q1=118.051 Q3=74.100 sample=20 experiment=1 RT=3.79 ce=-15.00 name=threonine（离子对正确具有唯一性）">346337</offset>
      <offset idRef="SRM SIC Q1=122.025 Q3=78.000 sample=20 experiment=1 RT=2.36 ce=-30.00 name=Nicotinic_acid">363025</offset>
      <offset idRef="SRM SIC Q1=128.072 Q3=128.072 sample=20 experiment=1 RT=2.95 ce=-30.00 name=pipecolic_acid">379492</offset>
      <offset idRef="SRM SIC Q1=130.051 Q3=83.900 sample=20 experiment=1 RT=3.65 ce=-30.00 name=L-4-hydroxyproline">396122</offset>
      <offset idRef="SRM SIC Q1=130.062 Q3=88.000 sample=20 experiment=1 RT=3.55 ce=-15.00 name=creatine">412623</offset>
      <offset idRef="SRM SIC Q1=130.087 Q3=130.086 sample=20 experiment=1 RT=2.72 ce=-10.00 name=isoleucine">429328</offset>
      <offset idRef="SRM SIC Q1=130.087 Q3=130.087 sample=20 experiment=1 RT=2.61 ce=-10.00 name=leucine">446168</offset>
      <offset idRef="SRM SIC Q1=131.046 Q3=131.046 sample=20 experiment=1 RT=3.99 ce=-10.00 name=asparagine">463007</offset>
      <offset idRef="SRM SIC Q1=131.083 Q3=131.083 sample=20 experiment=1 RT=6.23 ce=-10.00 name=Ornithine">479761</offset>
      <offset idRef="SRM SIC Q1=132.030 Q3=88.200 sample=20 experiment=1 RT=4.50 ce=-30.00 name=aspartic_acid">496654</offset>
      <offset idRef="SRM SIC Q1=133.014 Q3=71.200 sample=20 experiment=1 RT=4.00 ce=-30.00 name=malate">513302</offset>
      <offset idRef="SRM SIC Q1=135.056 Q3=78.200 sample=20 experiment=1 RT=0.61 ce=-30.00 name=N-methylnicotinamide">529715</offset>
      <offset idRef="SRM SIC Q1=136.040 Q3=91.900 sample=20 experiment=1 RT=1.46 ce=-15.00 name=4-aminobenzoic_acid">546134</offset>
      <offset idRef="SRM SIC Q1=145.014 Q3=100.900 sample=20 experiment=1 RT=4.01 ce=-15.00 name=a-Ketoglutaric_acid">562900</offset>
      <offset idRef="SRM SIC Q1=145.051 Q3=81.000 sample=20 experiment=1 RT=3.96 ce=-45.00 name=adipic_acid">579576</offset>
      <offset idRef="SRM SIC Q1=145.062 Q3=57.800 sample=20 experiment=1 RT=3.80 ce=-45.00 name=glutamine">595996</offset>
      <offset idRef="SRM SIC Q1=145.098 Q3=145.098 sample=20 experiment=1 RT=5.98 ce=-10.00 name=lysine">612488</offset>
      <offset idRef="SRM SIC Q1=146.046 Q3=101.600 sample=20 experiment=1 RT=4.11 ce=-30.00 name=Glutamic_acid">629334</offset>
      <offset idRef="SRM SIC Q1=148.044 Q3=148.044 sample=20 experiment=1 RT=2.89 ce=-10.00 name=Methionine">645852</offset>
      <offset idRef="SRM SIC Q1=149.046 Q3=59.100 sample=20 experiment=1 RT=2.13 ce=-30.00 name=ribose">662650</offset>
      <offset idRef="SRM SIC Q1=149.046 Q3=58.800 sample=20 experiment=1 RT=2.70 ce=-30.00 name=arabinose">679131</offset>
      <offset idRef="SRM SIC Q1=151.026 Q3=108.000 sample=20 experiment=1 RT=1.88 ce=-30.00 name=xanthine">695647</offset>
      <offset idRef="SRM SIC Q1=154.062 Q3=93.000 sample=20 experiment=1 RT=6.30 ce=-30.00 name=Histidine">712378</offset>
      <offset idRef="SRM SIC Q1=157.037 Q3=96.900 sample=20 experiment=1 RT=2.45 ce=-30.00 name=allantoin">729096</offset>
      <offset idRef="SRM SIC Q1=157.123 Q3=157.123 sample=20 experiment=1 RT=0.63 ce=-10.00 name=C9:0_pelargonic_acid">745688</offset>
      <offset idRef="SRM SIC Q1=160.062 Q3=99.800 sample=20 experiment=1 RT=4.27 ce=-45.00 name=2-aminoadipic_acid">762300</offset>
      <offset idRef="SRM SIC Q1=163.061 Q3=100.800 sample=20 experiment=1 RT=2.58 ce=-15.00 name=&quot;1,5-anhydroglucitol&quot;">778833</offset>
      <offset idRef="SRM SIC Q1=164.072 Q3=103.100 sample=20 experiment=1 RT=2.53 ce=-30.00 name=phenylalanine">795461</offset>
      <offset idRef="SRM SIC Q1=167.021 Q3=69.100 sample=20 experiment=1 RT=3.27 ce=-45.00 name=uric_acid">812163</offset>
      <offset idRef="SRM SIC Q1=173.082 Q3=111.000 sample=20 experiment=1 RT=3.58 ce=-30.00 name=Sebacic_acid写错，正确那个是suberic_acid">828786</offset>
      <offset idRef="SRM SIC Q1=174.041 Q3=88.000 sample=20 experiment=1 RT=4.25 ce=-30.00 name=N-acetyl-L-aspartic_acid">845333</offset>
      <offset idRef="SRM SIC Q1=174.057 Q3=130.066 sample=20 experiment=1 RT=1.74 ce=-15.00 name=Indole-3-acetic_acid">861802</offset>
      <offset idRef="SRM SIC Q1=174.088 Q3=131.000 sample=20 experiment=1 RT=3.98 ce=-30.00 name=Citrulline">878558</offset>
      <offset idRef="SRM SIC Q1=178.051 Q3=77.200 sample=20 experiment=1 RT=2.09 ce=-45.00 name=hippuric_acid">895139</offset>
      <offset idRef="SRM SIC Q1=178.072 Q3=58.800 sample=20 experiment=1 RT=4.11 ce=-45.00 name=mannosamine">911695</offset>
      <offset idRef="SRM SIC Q1=179.056 Q3=59.000 sample=20 experiment=1 RT=3.40 ce=-30.00 name=galactose__">928153</offset>
      <offset idRef="SRM SIC Q1=179.056 Q3=87.000 sample=20 experiment=1 RT=3.83 ce=-30.00 name=inositol">944953</offset>
      <offset idRef="SRM SIC Q1=180.067 Q3=93.100 sample=20 experiment=1 RT=3.28 ce=-45.00 name=tyrosine_">961510</offset>
      <offset idRef="SRM SIC Q1=188.056 Q3=58.000 sample=20 experiment=1 RT=4.11 ce=-45.00 name=N-acetyl-L-glutamic_acid">978090</offset>
      <offset idRef="SRM SIC Q1=188.071 Q3=144.081 sample=20 experiment=1 RT=1.31 ce=-15.00 name=3-Indolepropionic_acid">994494</offset>
      <offset idRef="SRM SIC Q1=191.020 Q3=191.020 sample=20 experiment=1 RT=5.43 ce=-30.00 name=citric_acid">1011304</offset>
      <offset idRef="SRM SIC Q1=193.035 Q3=58.900 sample=20 experiment=1 RT=4.08 ce=-45.00 name=glucuronic_acid">1027967</offset>
      <offset idRef="SRM SIC Q1=199.170 Q3=199.170 sample=20 experiment=1 RT=0.59 ce=-10.00 name=C12:0_lauric_acid">1044473</offset>
      <offset idRef="SRM SIC Q1=203.083 Q3=116.100 sample=20 experiment=1 RT=2.67 ce=-45.00 name=tryptophan">1061050</offset>
      <offset idRef="SRM SIC Q1=207.078 Q3=144.000 sample=20 experiment=1 RT=2.60 ce=-30.00 name=kynurenine">1077705</offset>
      <offset idRef="SRM SIC Q1=209.030 Q3=85.000 sample=20 experiment=1 RT=5.42 ce=-15.00 name=galactaric_acid">1094270</offset>
      <offset idRef="SRM SIC Q1=212.002 Q3=79.900 sample=20 experiment=1 RT=1.12 ce=-45.00 name=3-indoxyl_sulfate">1110770</offset>
      <offset idRef="SRM SIC Q1=218.103 Q3=88.000 sample=20 experiment=1 RT=2.85 ce=-15.00 name=pantothenic_acid">1127594</offset>
      <offset idRef="SRM SIC Q1=219.078 Q3=144.000 sample=20 experiment=1 RT=3.37 ce=-30.00 name=5-hydroxy-L-tryptophan">1144111</offset>
      <offset idRef="SRM SIC Q1=220.083 Q3=59.200 sample=20 experiment=1 RT=2.81 ce=-45.00 name=N-acetylglucosamine">1160592</offset>
      <offset idRef="SRM SIC Q1=227.202 Q3=227.202 sample=20 experiment=1 RT=0.57 ce=-10.00 name=C14:0_myristic_acid">1177158</offset>
      <offset idRef="SRM SIC Q1=239.017 Q3=119.900 sample=20 experiment=1 RT=5.34 ce=-15.00 name=L-cystine">1193721</offset>
      <offset idRef="SRM SIC Q1=241.217 Q3=241.217 sample=20 experiment=1 RT=0.56 ce=-10.00 name=C15:0_pentadecanoic_acid">1210495</offset>
      <offset idRef="SRM SIC Q1=243.062 Q3=110.000 sample=20 experiment=1 RT=1.85 ce=-30.00 name=Uridine">1227047</offset>
      <offset idRef="SRM SIC Q1=255.233 Q3=255.233 sample=20 experiment=1 RT=0.55 ce=-10.00 name=C16:0_palmitic_acid">1243717</offset>
      <offset idRef="SRM SIC Q1=259.022 Q3=78.800 sample=20 experiment=1 RT=4.46 ce=-45.00 name=D-fructose-6-phosphate">1260280</offset>
      <offset idRef="SRM SIC Q1=263.104 Q3=145.000 sample=20 experiment=1 RT=2.43 ce=-15.00 name=α-N-phenylacetyl-L-glutamine">1276893</offset>
      <offset idRef="SRM SIC Q1=266.090 Q3=134.200 sample=20 experiment=1 RT=1.65 ce=-30.00 name=adenosine">1293569</offset>
      <offset idRef="SRM SIC Q1=269.249 Q3=269.249 sample=20 experiment=1 RT=0.52 ce=-10.00 name=C17:0_heptadecanoic_acid">1310151</offset>
      <offset idRef="SRM SIC Q1=277.217 Q3=277.217 sample=20 experiment=1 RT=0.55 ce=-10.00 name=&quot;C18:3_n-3_(9Z,_12Z,_15Z)_alpha-linolenic_acid&quot;">1326679</offset>
      <offset idRef="SRM SIC Q1=282.084 Q3=191.900 sample=20 experiment=1 RT=2.80 ce=-30.00 name=8-hydroxy-2_-deoxyguanosine">1343264</offset>
      <offset idRef="SRM SIC Q1=283.264 Q3=283.264 sample=20 experiment=1 RT=0.54 ce=-10.00 name=C18:0_stearic_acid_">1359780</offset>
      <offset idRef="SRM SIC Q1=305.249 Q3=305.249 sample=20 experiment=1 RT=0.53 ce=-10.00 name=&quot;C20:3_n-6_8,11,14-eicostrienoic_acid&quot;">1376339</offset>
      <offset idRef="SRM SIC Q1=307.264 Q3=307.264 sample=20 experiment=1 RT=0.53 ce=-10.00 name=C20:2_eicosadienoic_acid">1392927</offset>
      <offset idRef="SRM SIC Q1=309.280 Q3=309.280 sample=20 experiment=1 RT=0.53 ce=-10.00 name=C20:1_eicosenoic_acid">1409463</offset>
      <offset idRef="SRM SIC Q1=343.125 Q3=59.000 sample=20 experiment=1 RT=3.80 ce=-45.00 name=maltitol">1426024</offset>
      <offset idRef="SRM SIC Q1=346.056 Q3=78.800 sample=20 experiment=1 RT=4.40 ce=-45.00 name=AMP_(adenosine_monophosphate)">1442525</offset>
      <offset idRef="SRM SIC Q1=361.202 Q3=331.300 sample=20 experiment=1 RT=0.59 ce=-15.00 name=cortisol_">1458977</offset>
      <offset idRef="SRM SIC Q1=391.285 Q3=345.400 sample=20 experiment=1 RT=0.81 ce=-45.00 name=deoxycholate">1475446</offset>
      <offset idRef="SRM SIC Q1=407.280 Q3=343.300 sample=20 experiment=1 RT=1.50 ce=-45.00 name=Cholate_">1492071</offset>
      <offset idRef="SRM SIC Q1=429.374 Q3=163.000 sample=20 experiment=1 RT=0.47 ce=-30.00 name=α-tocopherol">1508840</offset>
      <offset idRef="SRM SIC Q1=464.302 Q3=74.024 sample=20 experiment=1 RT=2.45 ce=-45.00 name=glycocholic_acid">1525272</offset>
      <offset idRef="SRM SIC Q1=498.290 Q3=498.290 sample=20 experiment=1 RT=1.60 ce=-10.00 name=Taurochenodeoxycholic_acid">1541834</offset>
      <offset idRef="SRM SIC Q1=258.252 Q3=258.252 sample=20 experiment=1 RT=0.53 ce=-10.00 name=FFA16:0-d3">1558824</offset>
      <offset idRef="SRM SIC Q1=411.306 Q3=347.300 sample=20 experiment=1 RT=1.50 ce=-45.00 name=cholic_acid-d4">1575350</offset>
      <offset idRef="SRM SIC Q1=183.082 Q3=82.000 sample=20 experiment=1 RT=2.10 ce=-30.00 name=hippuric_acid-d5">1592137</offset>
      <offset idRef="SRM SIC Q1=169.103 Q3=152.100 sample=20 experiment=1 RT=2.52 ce=-15.00 name=phenylalanine-d5">1608754</offset>
      <offset idRef="SRM SIC Q1=121.100 Q3=121.100 sample=20 experiment=1 RT=3.11 ce=-10.00 name=proline-d7">1625439</offset>
      <offset idRef="SRM SIC Q1=121.045 Q3=76.100 sample=20 experiment=1 RT=3.97 ce=-15.00 name=succinic_acid-13C4">1642273</offset>
      <offset idRef="SRM SIC Q1=150.093 Q3=131.100 sample=20 experiment=1 RT=3.80 ce=-15.00 name=glutamine-d5">1658766</offset>
    </index>
  </indexList>
  <indexListOffset>1675396</indexListOffset>
  <fileChecksum>66C15C23447727517651A4B30681E1A106A99858</fileChecksum>
</indexedmzML>