<?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="sample43experiment1SpectrumParams">
        <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="2260" index="0">
          <cvParam cvRef="MS" accession="MS:1000235" name="total ion current chromatogram" />
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt3GVgFbsWBeDSUqhR2nPqkzk4XNxdsnF3d3d3fbi7u7u7u7s7xbU4VCi0QHk7yeLPurfAkUy+7OwRSuV2r7X7dBU56vmi19+im8ntD1sOqOnqIJeciklcf6a7LHfvtByxt488XNnPPfuEATLv8fpn7zceIjfkWzF+dI7hkppM6jBl1mjZ5Wi/OWHJx8t5rlYn1w2YhNebKu+vLDOxVL6Z8nPtg65xn2bhdebLrI6iXfq4lshCW0o1bLprhTy+9PPgwJGrZZ5q630qZFonOyY6QrsP3SgfxaZ3y5R9q1xSf8WWbQ93yGr6hXfJyw2/Ne8Vu0feeel/qkWN/XJf4V+n220+KI+fCs1c1/OIbBc98af3tGNyXMD/2rXyOSmzDG2RfGW7U/LSW7n2+fHTsmutdOXShJ+VqY64v2nR95zckenNmOXXzsvaM89leJbloozlb2+PviTntZ/YtvmTy7Lwzc4eywpdlY+KVV3zZOY1OWRdjrLi03Xp7zUhelv6m7LlsYGnrt24KXf26TTry7Bb0nff+sEXst6WzbosqBx1/7bclmZieMqxd2T+/02asr/kXXm248PgtD/vynp1sqyctPOefFtiQLbYzvdl18UDl67O8ED+GXs+s9/TB3L0qwsLj8x/KJ3XQjJkqvVIrjnQftt070hZYPVe/saR8vC/fZs2DHssq35MXiCw0BP5+G7d40O+PZFdT6yu9GbjUxkj1h6e0+aZHJ0yttxf67l0xpS+0eHec1mnx8UcnSq+kJnV1978Qo5I20EE+L+UD5tVWlyn90uZd1G2sHl3X0rP1O8mJRZ+JVtUvZiy5JJX8sCEzeNGJL2SAWenepxu/Vp2dus5Kvm51/LSgOMrInK/kdv3FLicatEbOfv75jg3j7cypoM6kG/lgzW9Svo8eCsLR5xsmrb0OykaFhrv3PJOJpu7dWeK4CjZyufPdTEiSpav2Cch9YcomW3s+wwedd/LyYmFy4Qfey97Ft7ezS/LB3lj29/J6Wd9kAVbqJn0US71H+gV3+ej9DiR/8Lz1x9l557fx12q90neTLOt3J5zn3DcPstlIzOfHr/hs0ye9/XIXmFf5LuIwXwovshqVwryR/wi9wyN2Vmr61cZ+uj6z7qvv8ohemJ+kx14tF1Xv8lO6bsNGpLpu7S/Bnx+2+67HJPDFV1q1XdZKfutbnlvf5f68Cd+l482Xd2wKm20bNTieb+DZaNlxADPi8c6RMsm7Yo/rzktWkbZG95X2h4t8/b717XujWiZTk+YaBnIr3rDN0Ym+69x61TZYqSaNcPLx8h+6kC2i5G1pi3o4RgTI3Ps6FnsyaoY6XWrYor1J2Nklgb5+a1ipMcg34z/JcXIF4qdiJVHj/Cv4rFy4dM5E8Y1iZXq7WoOjsVxjMW4xsozd7K3D38VK/9uVRM0Tg7+kDmvV444uft0RD2v2nHy8xIe4AFxMlN/98VeS+Lkql3eZX+eiJOPJ/9t//NNnAzS0H5Icrbml/ohu52++XdH9R+ygX/O3ct6/pCL+vX40nDuD/k0csd/jkM/ZNrS0W2vPv0Bp/GyaZlS7x/liJfzqPkBq2G8nPq4E8+oeHnu0YQbO7fEy38P1i+PuRcvi94/172A20/Z5+4blvJTLjzY6XHZ+j/lrf1qQv403jb9lOX3nKvkffenHL7rTWjVpJ/y4A6PqKn//ZI7qqTO86LOL9nq7c30jwf/koEjZwffX/lLnuGveevCL5m3jnv/p19/Scb48kNwgqydUb1Tgtx0afDneh0SZA76WjB0doLsVrdmwsdjCXJrh51Hj39IkGFV1TslylJqHS2TKNs6x38d0T1R7r3IIBYnSs/hHaefuJAo9WGKS5Qfqzbb+yXdb1k8WfWxqWr+llP3l6yXc9hv+bRrrozVN/2WOdOliet2/7c8VTRDlaEef6TjmzNiSZ4/su3a5B8PN/8j9zb+cShy8h/j8sAf2YBX44i3f+QGXm2KOf7Kwj/m7nhW/K+80KtNwTHt/8qGn3MfyTLjr4xso17gr2z2KKzG1nd/Zfo9K+3mjiSpeZdJknLY+ObJ+iRhfiXJZuW7LVt3Kwmf45+8U71NQKOi/2SWc3ubZej5T+plc9U/OWtN5qhdd/7Buxs9O7g779IwNyq3c8GckrndKGWx7ivvVHCjy2fKbOvcwo2mVQ87/K+/G9V68OX8vGludKP05uJZ17uRXs2Pu1G2Tc6b5R660asP83b7RbtRsSfpHl7xTkZ6HUufjDY1z7ysafFkVGr5mHoD6ySjPL15BnRJRvpwjk5GN1jvuiXJaNiWidv27E1GanXefz0ZzS58Z8HB98kobv/We3mTuZNe/sPcyTfyVibv3O7UsRyvHOXd6cx2t0MPmrlTsUr9s5zr5066LkxzpzG1Ky8bud6dfuU6mND4hDtl/ZLqeJ5H7nT9RuKohdHulHvO9W1/fTwozeaQpIQMHvQq/2efmcU9aN0xNdE96MK8aS/PdvGgyWnafm0y2oO81X8s9qCJcY8fjNrjQSlbLqwWfNWDyqjheOtBLl4mcv3zoMQ18zrtD0tOBb8VKV8xX3LS60TV5OQV1mtT8w7JaeUPD17RktOjsat+t1ySnHrzYX+7Lzl50yWfrjeTU7+ZH2tM/pDcjI+7J+WqUGXldsuTuAj6L83vSUezlTw5sqonLWv6O7h8G09KU4pHYLAn6WV9hie+tyd5cnUpccyT3rW7McXtrid1qrgg49GPnlR5UP0hI5OloCtNbGeJsBS05ca9Bp9zp6BsxWZfGVEpBXmpstM6Bb3hVWntkBR08vPyEjnmpqClHxjCthQUvtCdV+4UpKbtkRcpqPeEVrmz/E5Bt6sUaDo1KCXlVwU2Z0q9OhSqkJLUbw9tkZJ2q2VoQEo6NWbw6qRpKTGPUlL7Uqk8Gx9NScvUduJ2Srq7+B2vuCnJr3LdbNeTUhL/rUI/grzI7Cu8qP6pjWtrkBf1/VOSZ5QX5c354OKSzl40KzVXgOFe9D1aTTwv+naJJ/AmL8qn3vC4F91NoSa2Fx3u6p2wMsrLfL9EL9rW+Vnvyf7exMXTu1N6b9J1vrA39VITuao3Wale5JzZypu6VI+dXrefNx2aluJ7yERvUsvu1qXedCxn1/7VdnrTrALrXn0+400pN31du/C+N6VRX/CDN2nfv72ppvV+7yh/Hzo3I+/AnOl86Om+scNu5vehHzyd+lbwoeqbivz+3tiHvuT78CSypw/lUbDG+tDiReqXD71tvep+gR34+VkfGqbKX6SP8fDNh/T+z8OX9LYj1Jdene2S4kp2X1r04lSJ2tKXav0J6/ugji+Z9dGXzLrqS4eYf6NpvtTr+sTbz1b60gyuns59vvT108miGS77kjp6yV/4kl6mf/hSuPrCfn5w42eOXwk/8k2XePFkPT/yr/O0ct7ufhS/QBUyPyqZg4/oMj9SszPvAT86/0R9cT/SdeSzHxXgXUBRr1SUSm0UM6Qi9bESSqUivW1tkooWRLa/fah/KjrTbnOrerNTUY2Sb7f83J6KhvDyOftKKuJN4riC71ORVU9VWH/ioyKaZPQnvX8r50/XWg3+353W/vR1VZeXK0b4U8CK1g1HLvWnfEsbXWt1yJ/qLapZtvR9fxowv8KhdLH+VFRvaFLTkWrFDsRnT00+aiNUJTWFqY1bx9Sk90/jUpv5sjo1fcyqdpKp6djxD70mvEhNM+r2y7jgX2rKFRlfa19AAJ3dlavHmnQBlL3NpxzT8gXQbMfGTwPKBlAjtYDWDaDhv/yOuLcLoH6RtCFVvwDS+/KxAaS3tXMD6N2dWjPPrQkgve3ZHUCjeoU9z3Y6gPR251YA8ajUyfIigE5e6Dvz49cASq4K+d8Aqvxm46XBfoE0rU/ZDqWtQLrt9szdO1sgqVnasUgg1VcvXD6QdLtQJ5DWdE9d37dlIKly37xrIKnd0M6BgWYcxwaS2kU3nhlIg9RGemkgra/NG9KNgXTnv8LtQvYGkpv6dTKQFMcPVwKpyfZZhe884PdT2+5XgWT2TYGUfUII79gCqX3bIrsWJ3OQ2uYk+DgoYWXHPR+dDoq9NzT0iXAQr8ZDr2VyUEj59BWr53IQF7O9Fws5yFc1AtJBvGr+qF7RQa2WDLncsKaDmk6dS80bOoibkxOfWziIV49Swzo4KO3tni1T9nCQWDX12fz+DuqlCtJQB8U95I3fKAep3ejuCQ66EnDh8MFpDqqpNkZzHLSGd+OXFjko86A8Ne+ucBAvmgsi1zkoaUd1noEOqqPao10OuhfVJXv8AQc1Dj1wy+24w4zXWQdNuDp6QL9LDnLXX5h/zrvmMnf586lt9CP++VFPR9BzB20tzR3PG/75heSp331wkN5mfOOf3/bwOxjnoAaNxvikS+Sf8+Gb/M9BW9pyZ5DcSa1VI+LtJFX2a/s76Xez7ueSHE7aqT5eqJMCm3bsPNdyUtnSITMGpXFSf70RcNKDAlyYsjjJ21reImt2J+l9TW4ndY/6vSk6n5NWXNt8414hJ7mpxqSY06yfpZzUTjWQZZyktxMVnPRzsW/lulWc1GhjwWvFazhp8vQ3MWnqOE2dbewkHtWo8q2cNPfW490NOjqpTcORT7r24Nfdz+1PfyctD7rTZ9owJ+n+aQx/HjUBJjtpY8PL+c7OclKF/bF/7y50krPEwiwfVzhJ5OOVbp3TjOd2J13gbuvfYSdNSc87mgtOqukK6VL9jpOCePfV7zk+30cnRVrDWuf74aTp/XtbqdyCTH31DiLdrziD6MXAd7+GiiBa0PXNtbhMQVS95avV3XMHkUdd/p0iQfShe+MtbcsEkVo2nlQNovr6V5CpTy2C6HSJ2v8qdAoiNU1O9A4itSssMjSI3obyRnNsEPG32ZVrehCNUu3MgiDS/dSqIFLDtGhzEK1JxhNhbxA1UdvEY0EU8OHADo8LQRSvtgk3g2jrT97APAoitXz0eR1ErL/Np89BdOM2w4sPonGq7fwXRMUPZ3xZ3zuYYtT2yRFMimFVEUzTji46fjZTMPZ3wWZ/UiSY9P+WCaaOU2Y5NlYNJnvEjKi09YOJj8rRRS2CTZ3rFEz6fEHvYNL9xNBgeqK2+2ODaXazpLKJ04KpkiosC4KJ/+/Lp5XBZPr6YOKmNP7lnmCqXaHnlSbHgs2+8nywqZc3g6lvus5Vzj0KpmzBHdOUeh1Marn8/i2Ypjzkhv1PML5PCOl+JiSElv6PF8r0ITg+IXQ9vHakVSKEtvPXvV0phHI/zZhiVP0QeqG2SW1CaObKX3nf9Qih0qohHxpCalmrOjGEVpfniTU3hHQbvyqEPNTGbnsI7fnYd1/wkRBqx3/s4oUQCtpe8eWQuyE0n3dzWV+GEDdv365Gh9DA15fP93IPpfdp7y0LcoZSVrX8ZQgl3TcVCDWfu3IoPf0Xebdui1DS5wF6hZLq0uNHhZJuL+aEEivfMXddKB2O5MbsQCg51MbzfChN6cYQb4Wa/dvTUBrxu1iv6+9DSY1qq7hQ6qOg/QslfX7GN4y4GWwUGhpGz1/4ztmUPsx4zBVGatm7XjSMqhWeVLpV+TA6l7R7aEytMJKqADcLw/ENI49c+66s7RtG//vxzLPwiDCKP+pFlyaHUa+x+YY0nR9Gut1fHUbPqvHAb+PXD5okCh7i12fWF86Gmbpwk1+ftxufHvPr58vjOTwqjHjXLQNiw4hnjbU8KYzU9r6ATzhlUo1EcDjptj9dOKnpHpUjnNqOeFRycJFwelKBO+Ny4aT70ZrhdFNtT5uGU2V1QqBDuNkH9Ak3+4r/hZNaJgZNCqc8R7Kk9p0XTptH8wZ4ZTjF6dNQ4dRdFegD4RS1q+6immfCqTVvB15eDyddbiPDSW8b3oWjLwg3+7CEcPqzKfp2dfcIGjomd7X1PhFYXyNIn2ewIighNX/yDBFk+u8Ic3wKRNCgpaszHCoRQZn1Bj2C1g/gmVE9wnzv+hG0LitP+BYRlFEtMB0iSPexPSLoRR3ecQyMoFY5Es7NHhFBzz0Ly08TImg6H6ZKMyNIbUNXLoygqYfUBjaC/OZsGl17U4SZL7siyLcCCz0cYfqV0xFUNK04f+ByhDkOdyKoCLdTnR5H0AFup069jiB9nuQzf67sXIG+R5DaLnyOiyDdNyZEkOoGTvyNMPsNd4t0O53CQr226ARvd1qltkifbnFa1N0vS4P8YRap8rtcWGQpkOksitya2Kx7Jov06amsFk28sTM75bKoYvXrbTfks4hnzRL/whbNbaN2DBapbWRQEYvU9mEBpz7vV9SiSyeDfi3j1PWwmGX275y6/yhumT6JU/fnJSwKr8EdP+f6txGD85e0yJzHs+iUeplSFqnfPsr5uCzvgKRFnfV/WKZukUV7eFt8jVO1ZbVKW2Yfydn0V9SMBmUsej+jwepHnLqulrVIn8/inMk/blPOIn3eiXPLuBFJncpbVET9gHO+aisrWJRBTQjOF6+LVupf0aJS9XL+ieXUp1Er8Tip03ac+rxXZYv4Vdcmr2KRWxUeAc7p/DIpqvI4q9NinBsDVs/wq2ZRIfUfnGd4W+eobpm+nfNpD3UmgcdTDTgnj0KSq6ZF4wryX+A05ystUtvpjZzq02SvbdGROXxgOPV5szoWeX48/PQg5+xRWb8Xr2tRGtUQcur9TT0LfYBFaltfqb5F9QfWqXaFk0eVP7pFPdfn7n2LU79dQ4sm3/Ob/4BTnTxu0ojHU31QTqWiWWMeTz9uDDj1eb8mFul2m1PP56aWWXc4NaNmPJ76tDjPRwWrOY8nT6dfnPo8aAuLgtUX51SjNaqlZfqbVhapNn0Kpxpen9YW6dMdnO3VALWxzPkMTh7VayFtLdOvcC5Wp+/aWWTOV1ukfjtDe8ucF+DUfW4Hi/R5HM6PzCZ3R8vsOzl1/9LJMuc7OHXf2Nkifb6Ks1iS60bpLhbOR1ikp0lXy/R3nD3VC3ezSB2uW5xqltfrzuOpJhin+tRNelhYZ+C2J4+nOi/PqT9WL4s6qtNjnHHqZXpbpE/bc6ZWH7SPRea8rUVZFai+PJ7M7A+nvt7QzyI1O9z7W6RGYRynOQ9pkZqeUwbA+UA4Hwjng+Ccs4R+YTgfDOdD4HwInA+1SA3H5qFwPgzOh8H5/+D8f3A+HM6Hw/kIOB8B5yMtUrvri5yBekJYtJxZ3ODU0320RYc68V/grKDhWaSXUc7WauKMtegrT5OXnPrwj7NIHdaocXA+Hs459fBOgHNOPRwTLdLb+4lwPsmivgrKZDifDOdT4HwKnE+F86lwPg3Op8H5dDifDucz4HwGnM+E85lwPgvOZ8H5bMv0hZxt1bI8x8J5FYv0MjoXzjn1ed15lqlv8+B8Pq+bCsp8OF9gmX6Q871aBhbC+UI4XwTnnLaasIvhfDGcL4HzJXC+FM6XwvkyOOfU02Q5nC+H8xVwvtIyffpKOF8F56vgfDWcr4bzNXC+Bs7XwvlaOF8H5+vgfD2cr4fzDXC+Ac43wvlGON8E55vgfDOcb4bzLXC+Bc63wvlWON8G59vgfDucb4fzHXC+A853wvlOON8F57vgfDec74bzPXC+B873wvk+ON8H5/vhfD+cH4DzA3B+EM4PwvkhOD8E54fh/DCcH4HzI3B+FM6PwvkxOD8G58fh/Dicn4DzE3B+Es5PwvkpOD8F56fh/DScn4HzM3B+Fs7Pwvk5OD8H5+fh/DycX4DzC3B+Ec4vwvklOL8M55fh/AqcX4Hzq3B+Fc6vwfk1OL8O59fh/Aac34Dzm3B+E85vwfktOL8N57fh/A6c34Hzu3B+F87vwfk9OL8P55zLv204X/UBnHOq0yO1H1qmj+fU+8pHljnv+AjOI+E8Es4fw/ljOH8C50/g/CmcP4XzZ3D+DM6fw/kLOH8B5y/h/CWcv4LzV3D+Gs5fw/kbOH8D52/h/C2cv4Pzd3AeBedRcP4ezt/D+Qc4/wDnH+H8I5x/gvNPcP4Zzj/D+Rc4/wLnX+H8K5x/g/NvcP4dzr/DeTScR8N5DJzHwHksnMfCeRyc/4DzH3AeD+fxcP4Tzn/C+S84/wXnCXCeAOeJcM5ZRk2E33D+G87/wPkfOP8L53/hPAnOk+D8H5z/g3M3YZxzaufJhHHOqZ27C+OcUzv3EMY5p3aeXBjnnNq5pzDOObXzFMI459TOUwrjnFM79xLGOad27i2Mcx9hrntxHuP22sdXEHcrj6dxPizMjYGfoPY3prjN5dTX31MJGpnUKdNizlTzHxS2/QUtzskNDqc+jZda0L5mGXqu5ywTN2tU1gBB6q9v5WzOP84dKEht03dzqu13QYcw+3ZOvW93CrNv59T79iBhrp9x6n17sDD7ds5X6naNEGH27Zz6skuoMPt2Tr1vDxOkrlY+5dTn1cMF6cv7nHrfHiFIX8/k1PeJWILUx/7OOZo/Tl8hKDW/TTyn+uuDbUHZ+Md/OPW+3SWonPrAaQTp68ecLWvEH/VKK8y+nVO19f7pBKUM5hHh1Oct0gtSlw0Xcu54PC27lUFQCXXhiFO1dekyCmqoGivON9yGZckkSB2mzZxq+HNmFjSVh3Unp77ulUWQGob9nPq6xX+C1Mc+yqk+DmUV9ITf5gxnZ/7rFbIJcz6Fc2w9HtDswlwP5NSXQ3MIymGdmXSPU1+HycnzUk0MTn2fTC5hzldw6tsYcvO83NjkVxSnvl6Yh+clT4+vnOqw984raBcfzjhOfb01nzDXDTgbqwY2vzDXAwsIc/2MU9/PUVDQdP7YkzjVx/ErJEi9zQzOQmpCFhakfjyfU1+HLSLMdWNO058LUm3xas7x3O5mKibIqSYGp5rm2YsL9OeCjvC0zFtCkJpuezlNfy5IXy/nVIe9ZCmB/lygPxfozwWpYa1CAv25QH8u0J8L9OcC/blAfy7Qnwv05wL9uUB/LtCfC5zfFqTYxHCa/lyQmua/OE1/LtCfC1LTbVRlgf4czqvAeVU4rwrn1eC8GpxXh/PqcF4DzmvAeU04rwnnteC8FpzXhvPacF4HzuvAeV04rwvn9eC8HpzXh/P6cN4AzhvAeUM4bwjnjeC8EZw3hvPGcN4EzpvAeVOB/hzOm8F5MzhvDufN4bwFnLcU6M/hvBWcc5r+HM5bw3kbOG8D520F+nM4bwfn7eC8PZy3h/MOcN4BzjvCeUc47wTnneC8M5x3hvMucN4FzrvCOafpz+G8G5x3F+jP4bwHnHOa/lygPxfozwX6c4H+XKA/F+jPBfpzOO8r0J8L9OcC/blAfw7nAwT6c4H+XKA/F+jP4ZzT9OcC/blAfy7Qnwv05wL9uUB/LtCfw/n/BPpzgf4czofD+Qg45zT9Oer5SNTzUajno1DPR6Oej0Y9H4N6Pgb1fCzq+VjU83Go5+NQz8ejno9HPZ+Aej4B9Xwi6vlE1PNJqOeTBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+XKA/F+jPBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+XKA/F+jPBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+HM45TX8u0J8L9OcC/blAfy7Qn8P5CoH+XKA/h/NVAv25QH8u0J8L9Odwzmn6c4H+XKA/F+jPBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+XKA/F+jP4XyrQH8u0J/DOafpzwX6czjfAec74HwnnO+E811wvgvOd8M5p+nP4XwPnO+F831wzmn6czjfD+cH4PwAnB8U6M/h/BCcH4Lzw3B+GM6PwPkROD8K50fh/BicH4Pz43B+HM5PwPkJOD8J5yfh/BScn4Lz03B+Gs7PwPkZOD8L52fh/Bycn4Pz83B+Hs4vwPkFOL8I5xfh/BKcX4bzy3B+Bc6vwPlVOL8K59fg/BqcX4fz63B+A85vwPlNOL8J57fg/Bac34bz23B+B87vwPldOL8L5/fg/B6c34fz+3D+AM4fwPlDOH8I54/g/BGcR8J5JJw/hvPHcP4Ezp/A+VM4fwrnz+D8GZw/h/MXcP4Czl/C+Us4fwXnr+D8NZy/hvM3cP4Gzt/C+Vs4fwfn7+A8Cs6j4Pw9nL+H8w9w/gHOP8L5Rzj/BOef4PwznH+G8y9w/gXOv8L5Vzj/Buff4Pw7nH+H82g4j4bzGDiPgfNYOI+F8zg4/wHnP+A8Hs7j4fwnnP+E819w/gvOE+A8Ac4T4TwRzn/D+W84/wPnf+D8L5z/hfMkOE+C839w/g/O3Wz05zb6cxv9uY3+3EZ/bqM/t9Gf2+jPbfTnNvpzG/25jf7cRn9uoz+30Z/b6M9t9Oc2+nMb/bltnHNq5762cc6pr+/62ZRi1LyyUzi181S2cc6pnfvbxjmndp7aNs45tfMA2zjn1M4DbeOcUzt32MY5p3butI1zTu08yDbOObXzYBvX0W3jPMQ2zjnN/X+2cc6pnYfZxjmndh5uG+ec2nmEbZxzaueWbZxzaufCNs45tXPbNs45tXOXbZxzaudpbOM8rW2cc+rhTWcb55zaeXob9wnb5uNnsHEfoG2cZ7SNc07925ls45xTO89sG+ec2nkW2zjn1M7/s41zTu08q22cc2rn2WzjnFM7z27jvknbOM9hG+ec2nlO2zjn1M5z2cY5p3ae2zbOObXzPLZxzqmd57WNc07tPJ9tnHNq5/lt45xT339SwDbOC9rGOad2Xsg2zjnN9XMb189tXD+3cf3cNs6L2rh+buP6uY3r5zaun9vGOWezGad//FfCNve3cg5Uj4mUtM19hZyzvgyTBUvxeI77VPsg51bRpF1xaVNRdQM9p7l+zuP5et2SswTnpeG8NJyXgfMycF4WzsvCeTk4Lwfn5Xk81WMe5eG8Ao/n37uDPlSA84o2qdtFvnEuPZt2Z59KPJ7qi3Dq+0Mq21RO3SjBeSv944ThVXg81eMoVW1zH01VOK8G55xzwvgbV7fNfYuc6nAE1bBJPRWygFM/P1PTxn0qNqmvm7YWj2dJnwdrOJP442WubZv7MzjD1QDWsWk9/7GdnPnVr7o2nbq8qvx+zhrqdv16NvGn63KUUz2VJOvzeP7HX4RzzEn+gw1scx8kpz7f3tA291Ny6vPtjWxzvp1Tn29vbJvz7Zxf+bC1aMLjqSYWp7pNtl1THs+y/Ak5M6g3bsbjqW7T5FRfo1dzXjf548Vyqrcd0MI29+dy9lUfsKVt7vtsZZN+3IVT3/fR2qaN56sWnsSpn/tpw+vmD/4inPq5mLa8bmbkkebU97u243VTPQbAqaaVq71NDvWFOVdG8At24HWTD+8GTv08WkdeN/lwbOe8x8Oct5NNavj2cn7nYSncmddN9cQRp75/twuvm/zxTnJmUge4K6+b/HLnOfWDSd143bzKvzj1cz/dbVK3Q97m7K8mQg847wHnPeG8J5z3gvNecN4bznvDeR847wPnfeGc0/TncN4fzvvD+QA4HwDnA+F8IJwPgvNBcD4YzgfD+RA4HwLnQ+Gc0/TnNvpzG/25jf7cRn9uoz+30Z/b6M/hfCTq+Ug4HwXno+B8NK+bpXkGjobzMXA+Bs7HwvlYOB8H5+PgfDycj4fzCajnE+B8Iur5RNTzSajnk+F8MpxPgfMpcD4VzqfC+TQ4nwbn0+F8OpzPgPMZcD4TzmfC+Sw4nwXns+F8NpzPgfM5cD4XzufC+Tw4nwfn8+F8PpwvgPMFcL4QzhfC+SI4XwTni+F8MZwvgfMlcL4UzpfC+TI4Xwbny+F8OZyvgPOVcL4SzlfB+SrU89Wo56tRz9egnq9BPV+Ler4W9XwdnK+D8/Wo5+tRzzegnm9APd+Ier4R9XwTnG9CPd8M55vhfAvq+RY43wrnW+F8G5xvg/PtNu4vtkmVwWY7eH+k/iDn5ujb1dvstEndTvmW8xxPv067bNwHbpOaLj122+Y+as5EPrz99vD+SN3uvgf1fK9t7j/l1Per7rNJP4a7n/dH6jFbTv3c5QGb9OOHnDH8tgEHeTzVQsmp/ljIIds8F8KZRT3wcJjHUz2/xqmvqx2xzXNVR1DPj6KeH0U9P4Z6fgz1/Djq+XHU8xOo55wX+PCWPol6zqmW3YqneH+kDhynvk/yNJxz6ucxz/D+SD0+yqmfxzhrk3rbp5z6ftRzcM7ZQf06D+ecimW3C6jnF+D8Iur5RdTzS6jnl+D8MpxfgfMrcH4Vzq/C+TU4vwbn1+H8OpzfgPMbcH4Tzm/C+S04vwXnt+H8NpzfgfM7cH4Xzu9i334P+/Z72Lffx779PvbtD+D8AZw/hPOHcP4Izh/BeSScR8L5Yzh/DOdPeDyrqieKeDxfNy3f7alN6nGJb5z6ee5ncP4Mzp/zeD4cu+o3Z4tesXuGv7DpU8o255O9hPOXqOevUM9foZ6/Rj1/jXr+BvX8Der5Wzh/C+fvUM/foZ5HoZ5HoZ6/Rz1/j3r+Ac4/oJ5/hPOPcP4J9fwTnH+G889w/gXOv8D5Vzj/Cuff4PwbnH+H8+9wHg3n0XAeA+cxcB4L57FwHgfnnPp5hx9wHg/n8XD+E85/wvkvOP8F5wlwngDniTye6rHBRDj/Dee/4fwPnP+B879w/hfOk+A8Cc7/wfk/OHdzGeec2nkyl3HOae6HdhnnnPp+ag8X9at8esttTveXeY7XT+6iGYNW3HzIqZ17umgzf/tnnIUlz6QULtKPv3Lq59lTuoxzTtOfu4xzTu3c22Wcc2rnPi7j3NeF+99d6M9d6M9dxnkql3HOqZ37u4xzTu08tcs459TOA1zGOad2Hugyzjm1c4fLOOfUzp0u45xTOw9yGeecup4Hu0w959T1PMRl6jmnruehLuOcUzsPcxnnnNp5uMs459TOI1zGOad2brmMc07tXLiMc07t3HYZ55zm323g8VTTkNM8D+Qyzjm187Qu4zwdjycfvrGcKdQBS8/jeV09wO8i/c8NZODxVI/zcxafl1AgKKOL1L9KsIBTP9eciceT334Zp37ZzDyek9UDOi7znE4Wl3mOjlM/P/Yfj+eHJ5E7OE+O5C+QlcdT/QHOxzv+cxTN5jLPrXKqxxNkdh7PATzjOAPUF83homXr1AvxeKrHYnPyeN7NNec6p34uKhePp4cf/8hlnhPL7TLPV3IOVf8gRR4eT7W8caqv0y4vj6d6QJpzJ799l3wuKqk/mIv0v1+R32We2+N8O/7q6AEFXNTHpUbCZZwXdJnnpTkj1B8o5KKNavoXdlFB9eA9p9LiV8RFtdSB4NTP2Rd1URf1Qpy/vPkVirmMc059+Iq70J+70J+70J+70J+70J+70J+70J+70J+70J+7jHOCc4Lz0nBeGs7LwDmnrudlXaaec+p6Xs5l6nk5OC/vQn/uMvW8ggv9ucvU84pwzmn6czivBOeV4ZxzNX/tIVXgvCqcV4XzanBeDc6rw3l1OK8B5zXgvCacc+4dzjO4lovU9F/Bqf9dito8nnqi8HiqaViHx1MtaJzJ1bSpy+Opnpfn1Ie5nss8l8epD0t9F6nZc5xTP0fagMeT/+8sp/7nOhryeLZUE4/H8ycf2EYuUm9/k3OtetnGPJ76QVcXnnfl8VQTlFM/H96Ux1Oome4ixalDMzhvBufN4bw5nLeA8xZw3hLOW8J5KzhvDeet4bwNnLeB87Zw3hbO28F5OzhvD+ft4bwDnHP+H+5D4iw=</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="6312">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="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=43 experiment=1 RT=3.45 ce=-10.00 name=Glyoxylate" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="3600">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="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=43 experiment=1 RT=3.89 ce=-10.00 name=glycine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0U0rRFEcx/FrY2GLhd14BxaysLpKWSgbFpaUV4AXcBdoaiIPE2M8ZKFkIdLIyphiMUpEo7GwoCZLeciKhTq/818cjRegvp/NtzPn4d65J4oAAACAP8RJ7FqaUc+X1ZZNdXJdreTVqSV1KxMH+wuLfjzrOx/Wzrexra8tqCPp+utT0/XH9txkItz/+xx73+yKOlhQB65dS+PPrsnDu+tr6lPzXS+ab39yjfsqWrd7qUYXaq6spm+0br+qfcO3OufwSvOjmk/ua1rX/O3akW/qca/d3eh6UH3Tuv477W8tql/H6t6J2nCmtp2qH0f+f+6odl92j3avj3PheCyn2vey33s3VLufzlV1KBueb993e80/339nAAAAAAAAAAAAAAAAAAAAAAAAAAAA/Bs/R7hvjA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=87.009 Q3=87.009 sample=43 experiment=1 RT=2.16 ce=-10.00 name=Pyruvic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="452">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0r1Lw0AYgPFgsS4ODnV3detfIC24C4oQnRxEBMHJUaQ4BpS6OYVqm9ra+IlYBIe6qAiCCnZQN4uDOClIRBHx3jfDiW6Oz295uCS9O+7qOACAf5feyJiOhVJ/S+ptSpM1+31nRdqv7z/1961taUob7OpY53vU37s6bqxLy6v2/NNlaVi1e7r2+7puIB3UfT1X7XVbgb3v+Htfm9L26fz5mr1etG+a+zgxbSxeS4cepPVX08lbJ/vdyk27aX6uwzTKJk3droRppvQu8x2+mBYWnkx7EvfyfOpO5h2VdTJtV9LhS3k/fi776j6T8YDsK9c8ludvR9LwQOrt2V3akfZq43uZ0HMb0fuL7yk+72U9v0jvxyvpdz/Ob17bXLHH8b3O6r1f+NJ0UZ8X7HlmivY68f8EAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIA/fAETvINz</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=87.045 Q3=86.900 sample=43 experiment=1 RT=1.02 ce=-15.00 name=1-butyric_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0j1KA0EAhuFUZkEPkSJXECxzAIscQiR3yBZbiYg/cc3KIgbEPwRjEEHrKNvYKGgj2uQIFh5A2O+bYiCFpcX7NC872Z2Z3UmjAfwz7VGnblKqw1ythr4+VH+OPF7OH184Udcv1e61Wk7Uz3u3qpu9v9TtJG8a331VF5/V5qP69aAu3/r5C6936n2fq0vH8Xg2isfDfqcDtVWo4wPP4/ft7qmzHfVjP74vfJ813/+dx7+H+Vd9nRbx+qGtYv51WC/xPOVGvJ9k0+tuqb1t72cQ7z/cF94rzF/5e6RnauZzevK5TW7Uvr93eqc23dzjvbG6cuX6+XAeU/8fAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA8Ge/X3FlQA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=88.040 Q3=88.040 sample=43 experiment=1 RT=3.63 ce=-10.00 name=alanine_" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0j0oxGEAx/Gz3aKYKJsMBoNS5pOUwWqwGQxGmQxyR6eTTucuTjict1IGYrlCHccgy5G85GUQi8VNklLy/J5neIys38/y7Xn6Py//u38gAAAAgH/LToRMS0k1Mq5+jPnjxrBaEbcdVHtjanvU38etd+vcc24+l1K7J3/ta3szatcn7PMjv+bD/rh+WL2c9htftudk1bUFe59Fe+8p/xx3/54Z9diu69hUn1bV+4wanfP3za2ombRdN+/P96/792rYUGt21WTOb2fRNNT2qs5+mRZbgy0/fZ6tNE3f1pkmTppMC13Npo/b9abBYJVpX6rMNDBQMvtEql/UswfT/PmVzo1daP7tVA0XNL90pPH1ofqe1/zQnlp+oN7tq7U76ueW/96u7ndy36H7H9z3BAAAAAAAAAAAAAAAAAAAAAAAAAAAAPzRN9GKe18=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=89.024 Q3=89.024 sample=43 experiment=1 RT=2.87 ce=-10.00 name=L-lactic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="564">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="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=43 experiment=1 RT=2.98 ce=-10.00 name=dimethylglycine_(DMG)" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="432">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0btKA0EYhuEgVoKdiIXClilE0mgd78IbEMRCg3hCFMOqxANqPCsaFEU84BErsYlgkUqCVRAvwBvQWphv/mIWL0DhfZqXmd3ZmUlSKQAA8CfkFrOutQ31paRW9tVW33b/PLOWDdalt8L1Nrb3W5bDdem5cP18rEZTarWQeF4M5+170YI6uR2ee/hSbbhTB67D+Ykz9e3Uf/9IzW+G57P9bH/br7KkllfD/W3ezm3rMyP+/UE/P+b36/+9Ua8fD4Xvl6fV2kxY+72rO+rohdp8q349qqUnteNBLdyr8Um43mr/e/JeNrbfJTlv55pdD5/3rajju/6ee2rmWG069Pf0zV358Y3a9uya73nVuPFd4/jTtdj57Xrelep21ziody1+1LkCAAAAAAAAAAAAAAAAAAAAAAAAAAAA+F9+ADAIfD8=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=103.040 Q3=56.910 sample=43 experiment=1 RT=2.39 ce=-30.00 name=2-hydroxyisobutyric_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0j9LAmEAx/GbexXPS2gJHBxuaHS8IRrCQSEXQZBAAkmHhmhocAhcLnAVpN6ARntuwU1HDq6+BOF+zwXPI6detPX9LF+eP/fv0SAAAPxf52G5fcfuz0Ul9x96XuTOz25V01MvntTLWE2namWRdV5dZr17SzQ++85q1ivNj9UwSbV+8qXr659aNx8aN1/V94lae1HnI3XzaJ8/VJ8H6vWDGt/b3rg1bfd7Tvt23HIbd7zr7Hx4pebn5M+bhl33z9c753zfz/0Kfved97E1Xa/t/fcrfK/f/n8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAH9lCyy6RnU=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=103.040 Q3=56.900 sample=43 experiment=1 RT=2.39 ce=-30.00 name=2-hydroxybutyric_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="308">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0bEKQVEcx3HKK9jvaPQCyuAR7mCSwWJRyiKLlMGCQUZZZEGy2SQTKVlku3kMk7q/c27dI4NSlu9n+fZ37uke9yQSAAD8mp+P91uFD/vM717VtKGuW2qmpz6nam4Ttr08aB5cw+5Od83+Q+tDdbcyTQdaX9zU2VlN7tXjVh3P1ctETY3NuUZquatm+2rQiZ/ba6rFtpkr8fV8ycw153/XnFbis/3u7n47R9/XvSen9vlo34f16P2m07pq78U+H53Pfb9z32/nBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD8ywuVRkMn</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=104.035 Q3=74.000 sample=43 experiment=1 RT=4.06 ce=-30.00 name=L-serine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="180">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0TEOgkAQBdAtOZIlFUeg1t5DaGtjQzwJB/BYlhaTMWHNxoRIQ95rfiDLn2W3FAAA2LnL0G/S86/eX3PSc+wXWU6Rx3Pk4R45PyKnKfJ1i+yuy+8yc172tv6zXvfpaan687k1p36/9ry/1lX72OreAAAAAAAAAAAAAAAAAAB26A0hqCRc</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=112.054 Q3=68.003 sample=43 experiment=1 RT=1.73 ce=-15.00 name=creatinine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0jFqAkEUxvEpcwyPYJfYbWkjBLFItcWiINhJIBKbISGNhSh4AFtTB2w3fQIpkioewgNYBPxmBvYlC6b2/2s+3pvZ2ZmddQ7AWfLt7KQsb5SuZdKsY8d9tzrv1/Mmy/zv531RreO82I913Gfaf7emb8bt+9N5zL5r+2adWDfvldmjsrdUztfKw8sx/fOrMv9Qf/ul+np3zGyl9J1vjfc/lfm7+m+l6kut5642YTy8Z7hSXsyV+5ly8qBcPCnLqbJxp1wPq+dwt+F8RZg/CvXA5DiM52ZeUe2n+7X3Wtc33z/dq5kf2ftP/zEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPiPH7HEZcE=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=114.056 Q3=114.056 sample=43 experiment=1 RT=3.30 ce=-10.00 name=Proline" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="540">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=115.004 Q3=70.900 sample=43 experiment=1 RT=4.19 ce=-15.00 name=fumaric_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="300">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0jtKQ0EUBuAszV1YWlhYWIQgEkIQn/hq3EqWcEvLlFmO4D3/wIyxF/y+5mfmnjnzSBYLAAD4J3YfJ9+5f6x8mHN6/2VcddNr5XbOw/2cny993eGun894/1Tzz9Xnbc7dbZ/Zt403/b7TuvpdV17V/LLyfFh/2ddl3XRReTb0Sf2qr2vfT4fvOd+y75/3Sf54783xe2Z95sdz5x2zf7tP3Tvvk3fPfdp+N8fXtz7bvj7jH7/Tejhn7pV3WA37Vf/8/jnf2K/936oPAAAAAAAAAAAAAAAAAMAf8AUTpIC5</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=116.047 Q3=73.900 sample=43 experiment=1 RT=3.70 ce=-15.00 name=guanidinoacetic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="280">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0D9KA1EQB+A9UsgJts0RYhUQgnZW1ltJxNZi7aIiWFmIRRp7wWDhIbxGAs68wFvcRhCb72t+zOzs+9c0AAD8n7M2soucXEVObyNvXrJ+/c7u6z3qo8+om4/8/y1yt8n5++yvIvvLyG4euT6t6/a4rc6zOK/rss70IXL5GLnt8/t1/V9Zr+xT6rJfN6tzdH5kbtgvDv35oD/Y93DfNPoeqdRj5yzvdHIRuV1HLp8yn7N/l/P9z+v99j4AAAAAAAAAAAAAAAAAAPBH9v3JSlU=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=116.072 Q3=116.070 sample=43 experiment=1 RT=3.05 ce=-10.00 name=valine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="600">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="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=43 experiment=1 RT=4.03 ce=-10.00 name=5-Amino_pentanoic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="384">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztz78vA2Ecx/GLySgX8TcYLDZDB6Nu0kHYxSwm47MJqURyxFHiV6QkDKoobRM5TawSi93AKhJik/TzveFrtHR5v5b3fS/PPfc8UQQAAAD0Vqg9jncfKtbnh27DaEfzkOaodK8W9T7EmeY+W1dqq58tdfBWje7UyWu1cKP+WF+a6nBD/bjy3zcv1dcLtVpX45q6aHNi37XtfzN2vrfMnTv6tnvMtfy5wrm9P1MXTtXsWE031akDtbOj9pft+1V1bcXWL6ljwc8n6+rshjqSqE9b6sCy7bfr//Oe+Hk69fs09tTytm+havORn+cP/f3ye+X71G3+2vdNrRMVP+fr4z/7AgAAAAAAAAAAAAAAAAAAAAAAAAAA4N9+AUuDbNs=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=117.019 Q3=73.100 sample=43 experiment=1 RT=3.96 ce=-30.00 name=Succinic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="136">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0LENgCAQBVBGo3UEOlsXsGYUR7VRCwWlgMTivYbA5edfCAEAAAbLUxySr76nWJw/7qltrzP31bct8bW/lqv19XLf/zqP/nktz7v1N/4zAAAAAAAAAAAAAAAAAAC/swOXRBiN</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=117.056 Q3=71.000 sample=43 experiment=1 RT=1.89 ce=-15.00 name=2-hydroxyisovaleric_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="452">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0sErBFEcwPE5yc1eJPwTe9yibebgIoc9rJL2wEFJyopNSRptFkUu1JYLkpRNe0AO1EaJHIg9OpA4ai97cVK/33tTb/kDpO/n8u3Nzr43u/PzPAD4A/wRX5vRvkxoK6Pm+ri2POmu7f3R9023h7XZqYZ9+t02nmP3Ly9oU6va0qZ2YE97e6xNXkr9fFUaTr9JHwp1aarbC2S7WrM029Mirb23Ss8OO6TFaqc08dEu9ett0nRXTFq5b5LGgy/Zdyj81HMvXvXcp0dtcKfNX+nzjZ1rr0+16yfa3iNtoaRN77u/L7mjHdzVPm+Z/6No7tvQ3ph6S9qDFXedWNTG19x1Zdldh7Nm/zm3sXmtn9Pa92nfm52DsM+cO+PeZ+fA7hPNT8Zd/5grM0fR3OR+vx593jB3AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD8E9+izHVO</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=118.051 Q3=54.900 sample=43 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="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="76">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztxzENADAIAEGkMSMBNUhnRkCTDnfL5yMAAIAnpvI0+z4AAAAAAAAAAAAAAAAAAHxuARS1A/k=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=118.051 Q3=74.100 sample=43 experiment=1 RT=3.79 ce=-15.00 name=threonine（离子对正确具有唯一性）" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0rFKw1AUgOEs7tVVhW6Kz+AQVx+hOBSyOQUKRpxCi+AgKG6CBcfSxUUHdUmhQt2KdOhYQbo5OggdSs/JCZxAXqD83/KT2/QkvbdBAAAAgLWRNkJp81SbRb7Ffcehb1y6Ls2pmmvrVlP13PjCr49bfm49ydc72tGVtnZder80dPPs/W2OzbXPbZ619qCd9LVnI+37jzTrLqQ7t1tHq54ku9Lnp23pcL4pDf82pOPFv9w/2/uV1lvf+fypzjv40uv7T+3dh/ZwIE0zbRC9ah/ftMmLttHLf9+N34/zS78f+21/XZxf6velat9tH+18iu/b/6N0zgAAAAAAAAAAAAAAAAAAAAAAAAAAAFh7S7yXZE8=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=122.025 Q3=78.000 sample=43 experiment=1 RT=2.36 ce=-30.00 name=Nicotinic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0bkNgDAMAMCMhsQI1OzCaIxGRYGR8xU03DWWY8tWklIA+K1jXar5uS2PGOuj8+L5PTerxzi7p1XP8tf99/q8Wek7JPtif+zrfZ9YH/3fVl92r6i3DwAAAAAAAAAAAAAAAAAAgM9dOHcniw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=128.072 Q3=128.072 sample=43 experiment=1 RT=2.95 ce=-30.00 name=pipecolic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="308">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0jELAWEcx/GblHdhNMlLuOVegsVistxCSgzkiFxGg8mgbEws2BiUknhJht/zqLvISRn0/SzfPPe/u+eeOA4AAPgtz/3u+rv5hPe7hRdz5v58V+2P1dxcLa7V60a9bNWUWa8t1epUDXtqpq3uO2pzZN5TN+slNai5z/fnRefs78ecF2tSSefNXOCbfVSi+7HndWtEr1uP7/Nj+4x9R6b8/D5b+/zbUA1n6kDnH6wOavqsdf+oNnbqaaG2Jmp2EH3+y//Tp+cKAAAAAAAAAAAAAAAAAAAAAAAAAAAA4B/cAY6GQQ8=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=130.051 Q3=83.900 sample=43 experiment=1 RT=3.65 ce=-30.00 name=L-4-hydroxyproline" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0rENwjAQBVAPkSEYw21GoGWBUFEjRqCgpEoKdmGIjEJxSSQsIbCEu/eaL53tO1tySgAAtNPnunqlvC/6fOvbam7tvj/d41fzIeZ118j7FLl7RB7HyOctcr5EptOSfZGL7X0f1te5a/085Pdzpcb/BQAAAAAAAAAAAAAAAAAAKr0AGgMXpQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=130.062 Q3=88.000 sample=43 experiment=1 RT=3.55 ce=-15.00 name=creatine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="408">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0r1Kw1AYh/Hj5Oro6Fh0yZgxTnZw8grEKZOIUBAUKUrFL/wWRASlggR0yOgkXYTeQVcvwKGDgziJ+Z838GZ3e37LQ05yTk5OGwIAAADCzEpWNVvN/HWuJh21faIuPqoPz76jUl16Umf7arhTt27V8bWa3qjDez9uTWKHp2p+rq5dqZ8X6uBYfT1QWzt+POnF79n091txfrbdGI8td/38uhtxXu7nF914v+Ov7b12vvU6HV97zt7b3G+5F8eP/Dr2Hvt90qJq921QNVsYVZ2aHFdN5ybm/3r2rYbpr2p8ufjQvPCudX60Tjjsq3buL5eqnXe67/dl+7Vzse9I1uN17vfdfL4+l3jO9n8M7fhcPEcAAAAAAAAAAAAAAAAAAAAAAAAAAADgn/0C3rdm9w==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=130.087 Q3=130.086 sample=43 experiment=1 RT=2.72 ce=-10.00 name=isoleucine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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=130.087 Q3=130.087 sample=43 experiment=1 RT=2.61 ce=-10.00 name=leucine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="516">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=131.046 Q3=131.046 sample=43 experiment=1 RT=3.99 ce=-10.00 name=asparagine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0KtLQ2EYx/EjirC2YnLFLJgXt+SCWmymrehAtCiCyVOmZjEKzmAYbDLxtuHteEPdygQRg3ibyTTTior4/p6yP0DT91O+vBfO5fE8AAAA4J90BzHXQevCvjp0oI7afteJq18517pxqj4eqks6927OdK95rfpX2k/Yvfiumj3W+fyla/B16xpbeVDTd+pITfc37Tumj9S6rSf21GbZ7m2rsztqz5YasnsRfX/Qrvclv19cn9fe9D3Lr67ZDjXIvLumc178t9GZkGtjvFPrxTbXZG+7aziqfS+l/WLuQ+8deNLzJ6talzQnr2zzrpbUMeu9/tNPaY6xqVrL2u+70L28zbXf/nfd5jts/123eXwW1Yztr9o85uw8vKFWiq3rfEH182ok33qeKLTuAwAAAAAAAAAAAAAAAAAAAAAAAAAA4M/9AHRddbE=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=131.083 Q3=131.083 sample=43 experiment=1 RT=6.23 ce=-10.00 name=Ornithine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="584">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=132.030 Q3=88.200 sample=43 experiment=1 RT=4.50 ce=-30.00 name=aspartic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="360">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0TFqAkEUxvE9irWVdaoFO6sFIYgksBgCQREVLMQiLFZ2IVYGguQQHsAiZQqP4BE8gsh738AMrhfI/9d8zM7b92aYLAMAAACAq2Z+O+v2Hzz7luXYsvFp+bSx7H1b/u0s91+Wp63lr9cdPywXa8vDyrJaWJ6Xlq13y2Lqc+fxunrzc8ziPHseHi1/Xvz8E+9TxtkYev3I6waW+XOcur/21bdqe3a9/jWu177m6VyhX1KnPula76Dz6Lv6pX3DvfVuPl/vqv28qJnfjf9Lv2ue/q9ba77WmhP2B/G9tA73Le7PUWad+L+QndvztR/OkdQDAAAAAAAAAAAAAAAAAAAAAAAAAPDPXACQPGAM</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=133.014 Q3=71.200 sample=43 experiment=1 RT=4.00 ce=-30.00 name=malate" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="104">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0TEKACAIAMCe1tgTek5P62lB4OIS1BTcbSoKaikAAMA2Wn3qn71ezYm+3532zvWIcz7f4/UvAAAAAAAAAAAAAAAAAABcWz29C0E=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=135.056 Q3=78.200 sample=43 experiment=1 RT=0.61 ce=-30.00 name=N-methylnicotinamide" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0DEKACAIBVAP1tABuv95mlwCocGg4b1FUL6CEdBtzL/3V/mzv+bdvZxnzVw1f/0fAAAAAAAAAAAAAAAAAAAAAOixARv/BfE=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=136.040 Q3=91.900 sample=43 experiment=1 RT=1.46 ce=-15.00 name=4-aminobenzoic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="436">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0r1Kw2AUxvHegRkcOnTo4O4uDr0OJxchg0oUFRWUWMVBsH5WEFH8qq526xBKFlEEQZydxcsQcp43cHIL/f+Wh3OSnPd9k9RqAJzorFXke8dyvGsZnVjG55aZ7svUz9SvX/rn6lc+40fLqTvL33vLU/X/HrReJTu3PpNrXQ9zlNOaM3zSPp6VquOe5bHuz7r+PIO25m9o/rrl7JxlPqN6QfVapa/7osSyGate0fo7fm6o823Vu76O9ip16vc5SP065X6UUeU8yZZy1WeYW553ye87nCdcD/1yjuaX59f18J7C8+V7W66c98ByXv9J+C/C97zQdzx6sez1LX+Gls23IltjX1Y3votMX61O9z+tv/hhOZlbTmhe40b71H+QHGpfm+q3/b4BAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMBI+AduG3pI</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=145.014 Q3=100.900 sample=43 experiment=1 RT=4.01 ce=-15.00 name=a-Ketoglutaric_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0TFLQlEYh/G7CH2MPobjycnRXQtxcspLIARBXLRCaVDCwS2aG3Jwa7GtKWhzdOgLhEtEQ3T+9xXeA21By/NbHs699z3Xe8wyAAAA4J88D0Nsfq42Lv3aWh+oqyK4udDx1/Mzf932s/u2/pio6yvftzv180Hdu1ert+pmrBbHavdaHZRz1Uf14lXdvscuetnBT+fNSmz+pXW42cb7+7VNbHH4ornlk3q0UFtzdTrz32nnEk7870rX7W45V55ne6Supv777ZzSuaLur6drO2973t7f6Cf7lM/b/2dsPt1nN3/6y3ck7wMAAAAAAAAAAAAAAAAAAAAAAAAAAMCf+wZfslye</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=145.051 Q3=81.000 sample=43 experiment=1 RT=3.96 ce=-45.00 name=adipic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztz7ENwCAMBEBGYRTajECdBRiB0VMgItGgCIUiyl3jwpb9DgEAAD6m5jTvH/P+8t2He3u+Pn/nLa3Gc6xv5d31NwAAAAAAAAAAAAAAAAAAv3UBQRMKrw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=145.062 Q3=57.800 sample=43 experiment=1 RT=3.80 ce=-45.00 name=glutamine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt3GVgFbsWBeDSUqhR2nPqkzk4XNxdsnF3d3d3fbi7u7u7u7s7xbU4VCi0QHk7yeLPurfAkUy+7OwRSuV2r7X7dBU56vmi19+im8ntD1sOqOnqIJeciklcf6a7LHfvtByxt488XNnPPfuEATLv8fpn7zceIjfkWzF+dI7hkppM6jBl1mjZ5Wi/OWHJx8t5rlYn1w2YhNebKu+vLDOxVL6Z8nPtg65xn2bhdebLrI6iXfq4lshCW0o1bLprhTy+9PPgwJGrZZ5q630qZFonOyY6QrsP3SgfxaZ3y5R9q1xSf8WWbQ93yGr6hXfJyw2/Ne8Vu0feeel/qkWN/XJf4V+n220+KI+fCs1c1/OIbBc98af3tGNyXMD/2rXyOSmzDG2RfGW7U/LSW7n2+fHTsmutdOXShJ+VqY64v2nR95zckenNmOXXzsvaM89leJbloozlb2+PviTntZ/YtvmTy7Lwzc4eywpdlY+KVV3zZOY1OWRdjrLi03Xp7zUhelv6m7LlsYGnrt24KXf26TTry7Bb0nff+sEXst6WzbosqBx1/7bclmZieMqxd2T+/02asr/kXXm248PgtD/vynp1sqyctPOefFtiQLbYzvdl18UDl67O8ED+GXs+s9/TB3L0qwsLj8x/KJ3XQjJkqvVIrjnQftt070hZYPVe/saR8vC/fZs2DHssq35MXiCw0BP5+G7d40O+PZFdT6yu9GbjUxkj1h6e0+aZHJ0yttxf67l0xpS+0eHec1mnx8UcnSq+kJnV1978Qo5I20EE+L+UD5tVWlyn90uZd1G2sHl3X0rP1O8mJRZ+JVtUvZiy5JJX8sCEzeNGJL2SAWenepxu/Vp2dus5Kvm51/LSgOMrInK/kdv3FLicatEbOfv75jg3j7cypoM6kG/lgzW9Svo8eCsLR5xsmrb0OykaFhrv3PJOJpu7dWeK4CjZyufPdTEiSpav2Cch9YcomW3s+wwedd/LyYmFy4Qfey97Ft7ezS/LB3lj29/J6Wd9kAVbqJn0US71H+gV3+ej9DiR/8Lz1x9l557fx12q90neTLOt3J5zn3DcPstlIzOfHr/hs0ye9/XIXmFf5LuIwXwovshqVwryR/wi9wyN2Vmr61cZ+uj6z7qvv8ohemJ+kx14tF1Xv8lO6bsNGpLpu7S/Bnx+2+67HJPDFV1q1XdZKfutbnlvf5f68Cd+l482Xd2wKm20bNTieb+DZaNlxADPi8c6RMsm7Yo/rzktWkbZG95X2h4t8/b717XujWiZTk+YaBnIr3rDN0Ym+69x61TZYqSaNcPLx8h+6kC2i5G1pi3o4RgTI3Ps6FnsyaoY6XWrYor1J2Nklgb5+a1ipMcg34z/JcXIF4qdiJVHj/Cv4rFy4dM5E8Y1iZXq7WoOjsVxjMW4xsozd7K3D38VK/9uVRM0Tg7+kDmvV444uft0RD2v2nHy8xIe4AFxMlN/98VeS+Lkql3eZX+eiJOPJ/9t//NNnAzS0H5Icrbml/ohu52++XdH9R+ygX/O3ct6/pCL+vX40nDuD/k0csd/jkM/ZNrS0W2vPv0Bp/GyaZlS7x/liJfzqPkBq2G8nPq4E8+oeHnu0YQbO7fEy38P1i+PuRcvi94/172A20/Z5+4blvJTLjzY6XHZ+j/lrf1qQv403jb9lOX3nKvkffenHL7rTWjVpJ/y4A6PqKn//ZI7qqTO86LOL9nq7c30jwf/koEjZwffX/lLnuGveevCL5m3jnv/p19/Scb48kNwgqydUb1Tgtx0afDneh0SZA76WjB0doLsVrdmwsdjCXJrh51Hj39IkGFV1TslylJqHS2TKNs6x38d0T1R7r3IIBYnSs/hHaefuJAo9WGKS5Qfqzbb+yXdb1k8WfWxqWr+llP3l6yXc9hv+bRrrozVN/2WOdOliet2/7c8VTRDlaEef6TjmzNiSZ4/su3a5B8PN/8j9zb+cShy8h/j8sAf2YBX44i3f+QGXm2KOf7Kwj/m7nhW/K+80KtNwTHt/8qGn3MfyTLjr4xso17gr2z2KKzG1nd/Zfo9K+3mjiSpeZdJknLY+ObJ+iRhfiXJZuW7LVt3Kwmf45+8U71NQKOi/2SWc3ubZej5T+plc9U/OWtN5qhdd/7Buxs9O7g779IwNyq3c8GckrndKGWx7ivvVHCjy2fKbOvcwo2mVQ87/K+/G9V68OX8vGludKP05uJZ17uRXs2Pu1G2Tc6b5R660asP83b7RbtRsSfpHl7xTkZ6HUufjDY1z7ysafFkVGr5mHoD6ySjPL15BnRJRvpwjk5GN1jvuiXJaNiWidv27E1GanXefz0ZzS58Z8HB98kobv/We3mTuZNe/sPcyTfyVibv3O7UsRyvHOXd6cx2t0MPmrlTsUr9s5zr5066LkxzpzG1Ky8bud6dfuU6mND4hDtl/ZLqeJ5H7nT9RuKohdHulHvO9W1/fTwozeaQpIQMHvQq/2efmcU9aN0xNdE96MK8aS/PdvGgyWnafm0y2oO81X8s9qCJcY8fjNrjQSlbLqwWfNWDyqjheOtBLl4mcv3zoMQ18zrtD0tOBb8VKV8xX3LS60TV5OQV1mtT8w7JaeUPD17RktOjsat+t1ySnHrzYX+7Lzl50yWfrjeTU7+ZH2tM/pDcjI+7J+WqUGXldsuTuAj6L83vSUezlTw5sqonLWv6O7h8G09KU4pHYLAn6WV9hie+tyd5cnUpccyT3rW7McXtrid1qrgg49GPnlR5UP0hI5OloCtNbGeJsBS05ca9Bp9zp6BsxWZfGVEpBXmpstM6Bb3hVWntkBR08vPyEjnmpqClHxjCthQUvtCdV+4UpKbtkRcpqPeEVrmz/E5Bt6sUaDo1KCXlVwU2Z0q9OhSqkJLUbw9tkZJ2q2VoQEo6NWbw6qRpKTGPUlL7Uqk8Gx9NScvUduJ2Srq7+B2vuCnJr3LdbNeTUhL/rUI/grzI7Cu8qP6pjWtrkBf1/VOSZ5QX5c354OKSzl40KzVXgOFe9D1aTTwv+naJJ/AmL8qn3vC4F91NoSa2Fx3u6p2wMsrLfL9EL9rW+Vnvyf7exMXTu1N6b9J1vrA39VITuao3Wale5JzZypu6VI+dXrefNx2aluJ7yERvUsvu1qXedCxn1/7VdnrTrALrXn0+400pN31du/C+N6VRX/CDN2nfv72ppvV+7yh/Hzo3I+/AnOl86Om+scNu5vehHzyd+lbwoeqbivz+3tiHvuT78CSypw/lUbDG+tDiReqXD71tvep+gR34+VkfGqbKX6SP8fDNh/T+z8OX9LYj1Jdene2S4kp2X1r04lSJ2tKXav0J6/ugji+Z9dGXzLrqS4eYf6NpvtTr+sTbz1b60gyuns59vvT108miGS77kjp6yV/4kl6mf/hSuPrCfn5w42eOXwk/8k2XePFkPT/yr/O0ct7ufhS/QBUyPyqZg4/oMj9SszPvAT86/0R9cT/SdeSzHxXgXUBRr1SUSm0UM6Qi9bESSqUivW1tkooWRLa/fah/KjrTbnOrerNTUY2Sb7f83J6KhvDyOftKKuJN4riC71ORVU9VWH/ioyKaZPQnvX8r50/XWg3+353W/vR1VZeXK0b4U8CK1g1HLvWnfEsbXWt1yJ/qLapZtvR9fxowv8KhdLH+VFRvaFLTkWrFDsRnT00+aiNUJTWFqY1bx9Sk90/jUpv5sjo1fcyqdpKp6djxD70mvEhNM+r2y7jgX2rKFRlfa19AAJ3dlavHmnQBlL3NpxzT8gXQbMfGTwPKBlAjtYDWDaDhv/yOuLcLoH6RtCFVvwDS+/KxAaS3tXMD6N2dWjPPrQkgve3ZHUCjeoU9z3Y6gPR251YA8ajUyfIigE5e6Dvz49cASq4K+d8Aqvxm46XBfoE0rU/ZDqWtQLrt9szdO1sgqVnasUgg1VcvXD6QdLtQJ5DWdE9d37dlIKly37xrIKnd0M6BgWYcxwaS2kU3nhlIg9RGemkgra/NG9KNgXTnv8LtQvYGkpv6dTKQFMcPVwKpyfZZhe884PdT2+5XgWT2TYGUfUII79gCqX3bIrsWJ3OQ2uYk+DgoYWXHPR+dDoq9NzT0iXAQr8ZDr2VyUEj59BWr53IQF7O9Fws5yFc1AtJBvGr+qF7RQa2WDLncsKaDmk6dS80bOoibkxOfWziIV49Swzo4KO3tni1T9nCQWDX12fz+DuqlCtJQB8U95I3fKAep3ejuCQ66EnDh8MFpDqqpNkZzHLSGd+OXFjko86A8Ne+ucBAvmgsi1zkoaUd1noEOqqPao10OuhfVJXv8AQc1Dj1wy+24w4zXWQdNuDp6QL9LDnLXX5h/zrvmMnf586lt9CP++VFPR9BzB20tzR3PG/75heSp331wkN5mfOOf3/bwOxjnoAaNxvikS+Sf8+Gb/M9BW9pyZ5DcSa1VI+LtJFX2a/s76Xez7ueSHE7aqT5eqJMCm3bsPNdyUtnSITMGpXFSf70RcNKDAlyYsjjJ21reImt2J+l9TW4ndY/6vSk6n5NWXNt8414hJ7mpxqSY06yfpZzUTjWQZZyktxMVnPRzsW/lulWc1GhjwWvFazhp8vQ3MWnqOE2dbewkHtWo8q2cNPfW490NOjqpTcORT7r24Nfdz+1PfyctD7rTZ9owJ+n+aQx/HjUBJjtpY8PL+c7OclKF/bF/7y50krPEwiwfVzhJ5OOVbp3TjOd2J13gbuvfYSdNSc87mgtOqukK6VL9jpOCePfV7zk+30cnRVrDWuf74aTp/XtbqdyCTH31DiLdrziD6MXAd7+GiiBa0PXNtbhMQVS95avV3XMHkUdd/p0iQfShe+MtbcsEkVo2nlQNovr6V5CpTy2C6HSJ2v8qdAoiNU1O9A4itSssMjSI3obyRnNsEPG32ZVrehCNUu3MgiDS/dSqIFLDtGhzEK1JxhNhbxA1UdvEY0EU8OHADo8LQRSvtgk3g2jrT97APAoitXz0eR1ErL/Np89BdOM2w4sPonGq7fwXRMUPZ3xZ3zuYYtT2yRFMimFVEUzTji46fjZTMPZ3wWZ/UiSY9P+WCaaOU2Y5NlYNJnvEjKi09YOJj8rRRS2CTZ3rFEz6fEHvYNL9xNBgeqK2+2ODaXazpLKJ04KpkiosC4KJ/+/Lp5XBZPr6YOKmNP7lnmCqXaHnlSbHgs2+8nywqZc3g6lvus5Vzj0KpmzBHdOUeh1Marn8/i2Ypjzkhv1PML5PCOl+JiSElv6PF8r0ITg+IXQ9vHakVSKEtvPXvV0phHI/zZhiVP0QeqG2SW1CaObKX3nf9Qih0qohHxpCalmrOjGEVpfniTU3hHQbvyqEPNTGbnsI7fnYd1/wkRBqx3/s4oUQCtpe8eWQuyE0n3dzWV+GEDdv365Gh9DA15fP93IPpfdp7y0LcoZSVrX8ZQgl3TcVCDWfu3IoPf0Xebdui1DS5wF6hZLq0uNHhZJuL+aEEivfMXddKB2O5MbsQCg51MbzfChN6cYQb4Wa/dvTUBrxu1iv6+9DSY1qq7hQ6qOg/QslfX7GN4y4GWwUGhpGz1/4ztmUPsx4zBVGatm7XjSMqhWeVLpV+TA6l7R7aEytMJKqADcLw/ENI49c+66s7RtG//vxzLPwiDCKP+pFlyaHUa+x+YY0nR9Gut1fHUbPqvHAb+PXD5okCh7i12fWF86Gmbpwk1+ftxufHvPr58vjOTwqjHjXLQNiw4hnjbU8KYzU9r6ATzhlUo1EcDjptj9dOKnpHpUjnNqOeFRycJFwelKBO+Ny4aT70ZrhdFNtT5uGU2V1QqBDuNkH9Ak3+4r/hZNaJgZNCqc8R7Kk9p0XTptH8wZ4ZTjF6dNQ4dRdFegD4RS1q+6immfCqTVvB15eDyddbiPDSW8b3oWjLwg3+7CEcPqzKfp2dfcIGjomd7X1PhFYXyNIn2ewIighNX/yDBFk+u8Ic3wKRNCgpaszHCoRQZn1Bj2C1g/gmVE9wnzv+hG0LitP+BYRlFEtMB0iSPexPSLoRR3ecQyMoFY5Es7NHhFBzz0Ly08TImg6H6ZKMyNIbUNXLoygqYfUBjaC/OZsGl17U4SZL7siyLcCCz0cYfqV0xFUNK04f+ByhDkOdyKoCLdTnR5H0AFup069jiB9nuQzf67sXIG+R5DaLnyOiyDdNyZEkOoGTvyNMPsNd4t0O53CQr226ARvd1qltkifbnFa1N0vS4P8YRap8rtcWGQpkOksitya2Kx7Jov06amsFk28sTM75bKoYvXrbTfks4hnzRL/whbNbaN2DBapbWRQEYvU9mEBpz7vV9SiSyeDfi3j1PWwmGX275y6/yhumT6JU/fnJSwKr8EdP+f6txGD85e0yJzHs+iUeplSFqnfPsr5uCzvgKRFnfV/WKZukUV7eFt8jVO1ZbVKW2Yfydn0V9SMBmUsej+jwepHnLqulrVIn8/inMk/blPOIn3eiXPLuBFJncpbVET9gHO+aisrWJRBTQjOF6+LVupf0aJS9XL+ieXUp1Er8Tip03ac+rxXZYv4Vdcmr2KRWxUeAc7p/DIpqvI4q9NinBsDVs/wq2ZRIfUfnGd4W+eobpm+nfNpD3UmgcdTDTgnj0KSq6ZF4wryX+A05ystUtvpjZzq02SvbdGROXxgOPV5szoWeX48/PQg5+xRWb8Xr2tRGtUQcur9TT0LfYBFaltfqb5F9QfWqXaFk0eVP7pFPdfn7n2LU79dQ4sm3/Ob/4BTnTxu0ojHU31QTqWiWWMeTz9uDDj1eb8mFul2m1PP56aWWXc4NaNmPJ76tDjPRwWrOY8nT6dfnPo8aAuLgtUX51SjNaqlZfqbVhapNn0Kpxpen9YW6dMdnO3VALWxzPkMTh7VayFtLdOvcC5Wp+/aWWTOV1ukfjtDe8ucF+DUfW4Hi/R5HM6PzCZ3R8vsOzl1/9LJMuc7OHXf2Nkifb6Ks1iS60bpLhbOR1ikp0lXy/R3nD3VC3ezSB2uW5xqltfrzuOpJhin+tRNelhYZ+C2J4+nOi/PqT9WL4s6qtNjnHHqZXpbpE/bc6ZWH7SPRea8rUVZFai+PJ7M7A+nvt7QzyI1O9z7W6RGYRynOQ9pkZqeUwbA+UA4Hwjng+Ccs4R+YTgfDOdD4HwInA+1SA3H5qFwPgzOh8H5/+D8f3A+HM6Hw/kIOB8B5yMtUrvri5yBekJYtJxZ3ODU0320RYc68V/grKDhWaSXUc7WauKMtegrT5OXnPrwj7NIHdaocXA+Hs459fBOgHNOPRwTLdLb+4lwPsmivgrKZDifDOdT4HwKnE+F86lwPg3Op8H5dDifDucz4HwGnM+E85lwPgvOZ8H5bMv0hZxt1bI8x8J5FYv0MjoXzjn1ed15lqlv8+B8Pq+bCsp8OF9gmX6Q871aBhbC+UI4XwTnnLaasIvhfDGcL4HzJXC+FM6XwvkyOOfU02Q5nC+H8xVwvtIyffpKOF8F56vgfDWcr4bzNXC+Bs7XwvlaOF8H5+vgfD2cr4fzDXC+Ac43wvlGON8E55vgfDOcb4bzLXC+Bc63wvlWON8G59vgfDucb4fzHXC+A853wvlOON8F57vgfDec74bzPXC+B873wvk+ON8H5/vhfD+cH4DzA3B+EM4PwvkhOD8E54fh/DCcH4HzI3B+FM6PwvkxOD8G58fh/Dicn4DzE3B+Es5PwvkpOD8F56fh/DScn4HzM3B+Fs7Pwvk5OD8H5+fh/DycX4DzC3B+Ec4vwvklOL8M55fh/AqcX4Hzq3B+Fc6vwfk1OL8O59fh/Aac34Dzm3B+E85vwfktOL8N57fh/A6c34Hzu3B+F87vwfk9OL8P55zLv204X/UBnHOq0yO1H1qmj+fU+8pHljnv+AjOI+E8Es4fw/ljOH8C50/g/CmcP4XzZ3D+DM6fw/kLOH8B5y/h/CWcv4LzV3D+Gs5fw/kbOH8D52/h/C2cv4Pzd3AeBedRcP4ezt/D+Qc4/wDnH+H8I5x/gvNPcP4Zzj/D+Rc4/wLnX+H8K5x/g/NvcP4dzr/DeTScR8N5DJzHwHksnMfCeRyc/4DzH3AeD+fxcP4Tzn/C+S84/wXnCXCeAOeJcM5ZRk2E33D+G87/wPkfOP8L53/hPAnOk+D8H5z/g3M3YZxzaufJhHHOqZ27C+OcUzv3EMY5p3aeXBjnnNq5pzDOObXzFMI459TOUwrjnFM79xLGOad27i2Mcx9hrntxHuP22sdXEHcrj6dxPizMjYGfoPY3prjN5dTX31MJGpnUKdNizlTzHxS2/QUtzskNDqc+jZda0L5mGXqu5ywTN2tU1gBB6q9v5WzOP84dKEht03dzqu13QYcw+3ZOvW93CrNv59T79iBhrp9x6n17sDD7ds5X6naNEGH27Zz6skuoMPt2Tr1vDxOkrlY+5dTn1cMF6cv7nHrfHiFIX8/k1PeJWILUx/7OOZo/Tl8hKDW/TTyn+uuDbUHZ+Md/OPW+3SWonPrAaQTp68ecLWvEH/VKK8y+nVO19f7pBKUM5hHh1Oct0gtSlw0Xcu54PC27lUFQCXXhiFO1dekyCmqoGivON9yGZckkSB2mzZxq+HNmFjSVh3Unp77ulUWQGob9nPq6xX+C1Mc+yqk+DmUV9ITf5gxnZ/7rFbIJcz6Fc2w9HtDswlwP5NSXQ3MIymGdmXSPU1+HycnzUk0MTn2fTC5hzldw6tsYcvO83NjkVxSnvl6Yh+clT4+vnOqw984raBcfzjhOfb01nzDXDTgbqwY2vzDXAwsIc/2MU9/PUVDQdP7YkzjVx/ErJEi9zQzOQmpCFhakfjyfU1+HLSLMdWNO058LUm3xas7x3O5mKibIqSYGp5rm2YsL9OeCjvC0zFtCkJpuezlNfy5IXy/nVIe9ZCmB/lygPxfozwWpYa1CAv25QH8u0J8L9OcC/blAfy7Qnwv05wL9uUB/LtCfC5zfFqTYxHCa/lyQmua/OE1/LtCfC1LTbVRlgf4czqvAeVU4rwrn1eC8GpxXh/PqcF4DzmvAeU04rwnnteC8FpzXhvPacF4HzuvAeV04rwvn9eC8HpzXh/P6cN4AzhvAeUM4bwjnjeC8EZw3hvPGcN4EzpvAeVOB/hzOm8F5MzhvDufN4bwFnLcU6M/hvBWcc5r+HM5bw3kbOG8D520F+nM4bwfn7eC8PZy3h/MOcN4BzjvCeUc47wTnneC8M5x3hvMucN4FzrvCOafpz+G8G5x3F+jP4bwHnHOa/lygPxfozwX6c4H+XKA/F+jPBfpzOO8r0J8L9OcC/blAfw7nAwT6c4H+XKA/F+jP4ZzT9OcC/blAfy7Qnwv05wL9uUB/LtCfw/n/BPpzgf4czofD+Qg45zT9Oer5SNTzUajno1DPR6Oej0Y9H4N6Pgb1fCzq+VjU83Go5+NQz8ejno9HPZ+Aej4B9Xwi6vlE1PNJqOeTBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+XKA/F+jPBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+XKA/F+jPBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+HM45TX8u0J8L9OcC/blAfy7Qn8P5CoH+XKA/h/NVAv25QH8u0J8L9Odwzmn6c4H+XKA/F+jPBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+XKA/F+jP4XyrQH8u0J/DOafpzwX6czjfAec74HwnnO+E811wvgvOd8M5p+nP4XwPnO+F831wzmn6czjfD+cH4PwAnB8U6M/h/BCcH4Lzw3B+GM6PwPkROD8K50fh/BicH4Pz43B+HM5PwPkJOD8J5yfh/BScn4Lz03B+Gs7PwPkZOD8L52fh/Bycn4Pz83B+Hs4vwPkFOL8I5xfh/BKcX4bzy3B+Bc6vwPlVOL8K59fg/BqcX4fz63B+A85vwPlNOL8J57fg/Bac34bz23B+B87vwPldOL8L5/fg/B6c34fz+3D+AM4fwPlDOH8I54/g/BGcR8J5JJw/hvPHcP4Ezp/A+VM4fwrnz+D8GZw/h/MXcP4Czl/C+Us4fwXnr+D8NZy/hvM3cP4Gzt/C+Vs4fwfn7+A8Cs6j4Pw9nL+H8w9w/gHOP8L5Rzj/BOef4PwznH+G8y9w/gXOv8L5Vzj/Buff4Pw7nH+H82g4j4bzGDiPgfNYOI+F8zg4/wHnP+A8Hs7j4fwnnP+E819w/gvOE+A8Ac4T4TwRzn/D+W84/wPnf+D8L5z/hfMkOE+C839w/g/O3Wz05zb6cxv9uY3+3EZ/bqM/t9Gf2+jPbfTnNvpzG/25jf7cRn9uoz+30Z/b6M9t9Oc2+nMb/bltnHNq5762cc6pr+/62ZRi1LyyUzi181S2cc6pnfvbxjmndp7aNs45tfMA2zjn1M4DbeOcUzt32MY5p3butI1zTu08yDbOObXzYBvX0W3jPMQ2zjnN/X+2cc6pnYfZxjmndh5uG+ec2nmEbZxzaueWbZxzaufCNs45tXPbNs45tXOXbZxzaudpbOM8rW2cc+rhTWcb55zaeXob9wnb5uNnsHEfoG2cZ7SNc07925ls45xTO89sG+ec2nkW2zjn1M7/s41zTu08q22cc2rn2WzjnFM7z27jvknbOM9hG+ec2nlO2zjn1M5z2cY5p3ae2zbOObXzPLZxzqmd57WNc07tPJ9tnHNq5/lt45xT339SwDbOC9rGOad2Xsg2zjnN9XMb189tXD+3cf3cNs6L2rh+buP6uY3r5zaun9vGOWezGad//FfCNve3cg5Uj4mUtM19hZyzvgyTBUvxeI77VPsg51bRpF1xaVNRdQM9p7l+zuP5et2SswTnpeG8NJyXgfMycF4WzsvCeTk4Lwfn5Xk81WMe5eG8Ao/n37uDPlSA84o2qdtFvnEuPZt2Z59KPJ7qi3Dq+0Mq21RO3SjBeSv944ThVXg81eMoVW1zH01VOK8G55xzwvgbV7fNfYuc6nAE1bBJPRWygFM/P1PTxn0qNqmvm7YWj2dJnwdrOJP442WubZv7MzjD1QDWsWk9/7GdnPnVr7o2nbq8qvx+zhrqdv16NvGn63KUUz2VJOvzeP7HX4RzzEn+gw1scx8kpz7f3tA291Ny6vPtjWxzvp1Tn29vbJvz7Zxf+bC1aMLjqSYWp7pNtl1THs+y/Ak5M6g3bsbjqW7T5FRfo1dzXjf548Vyqrcd0MI29+dy9lUfsKVt7vtsZZN+3IVT3/fR2qaN56sWnsSpn/tpw+vmD/4inPq5mLa8bmbkkebU97u243VTPQbAqaaVq71NDvWFOVdG8At24HWTD+8GTv08WkdeN/lwbOe8x8Oct5NNavj2cn7nYSncmddN9cQRp75/twuvm/zxTnJmUge4K6+b/HLnOfWDSd143bzKvzj1cz/dbVK3Q97m7K8mQg847wHnPeG8J5z3gvNecN4bznvDeR847wPnfeGc0/TncN4fzvvD+QA4HwDnA+F8IJwPgvNBcD4YzgfD+RA4HwLnQ+Gc0/TnNvpzG/25jf7cRn9uoz+30Z/b6M/hfCTq+Ug4HwXno+B8NK+bpXkGjobzMXA+Bs7HwvlYOB8H5+PgfDycj4fzCajnE+B8Iur5RNTzSajnk+F8MpxPgfMpcD4VzqfC+TQ4nwbn0+F8OpzPgPMZcD4TzmfC+Sw4nwXns+F8NpzPgfM5cD4XzufC+Tw4nwfn8+F8PpwvgPMFcL4QzhfC+SI4XwTni+F8MZwvgfMlcL4UzpfC+TI4Xwbny+F8OZyvgPOVcL4SzlfB+SrU89Wo56tRz9egnq9BPV+Ler4W9XwdnK+D8/Wo5+tRzzegnm9APd+Ier4R9XwTnG9CPd8M55vhfAvq+RY43wrnW+F8G5xvg/PtNu4vtkmVwWY7eH+k/iDn5ujb1dvstEndTvmW8xxPv067bNwHbpOaLj122+Y+as5EPrz99vD+SN3uvgf1fK9t7j/l1Per7rNJP4a7n/dH6jFbTv3c5QGb9OOHnDH8tgEHeTzVQsmp/ljIIds8F8KZRT3wcJjHUz2/xqmvqx2xzXNVR1DPj6KeH0U9P4Z6fgz1/Djq+XHU8xOo55wX+PCWPol6zqmW3YqneH+kDhynvk/yNJxz6ucxz/D+SD0+yqmfxzhrk3rbp5z6ftRzcM7ZQf06D+ecimW3C6jnF+D8Iur5RdTzS6jnl+D8MpxfgfMrcH4Vzq/C+TU4vwbn1+H8OpzfgPMbcH4Tzm/C+S04vwXnt+H8NpzfgfM7cH4Xzu9i334P+/Z72Lffx779PvbtD+D8AZw/hPOHcP4Izh/BeSScR8L5Yzh/DOdPeDyrqieKeDxfNy3f7alN6nGJb5z6ee5ncP4Mzp/zeD4cu+o3Z4tesXuGv7DpU8o255O9hPOXqOevUM9foZ6/Rj1/jXr+BvX8Der5Wzh/C+fvUM/foZ5HoZ5HoZ6/Rz1/j3r+Ac4/oJ5/hPOPcP4J9fwTnH+G889w/gXOv8D5Vzj/Cuff4PwbnH+H8+9wHg3n0XAeA+cxcB4L57FwHgfnnPp5hx9wHg/n8XD+E85/wvkvOP8F5wlwngDniTye6rHBRDj/Dee/4fwPnP+B879w/hfOk+A8Cc7/wfk/OHdzGeec2nkyl3HOae6HdhnnnPp+ag8X9at8esttTveXeY7XT+6iGYNW3HzIqZ17umgzf/tnnIUlz6QULtKPv3Lq59lTuoxzTtOfu4xzTu3c22Wcc2rnPi7j3NeF+99d6M9d6M9dxnkql3HOqZ37u4xzTu08tcs459TOA1zGOad2Hugyzjm1c4fLOOfUzp0u45xTOw9yGeecup4Hu0w959T1PMRl6jmnruehLuOcUzsPcxnnnNp5uMs459TOI1zGOad2brmMc07tXLiMc07t3HYZ55zm323g8VTTkNM8D+Qyzjm187Qu4zwdjycfvrGcKdQBS8/jeV09wO8i/c8NZODxVI/zcxafl1AgKKOL1L9KsIBTP9eciceT334Zp37ZzDyek9UDOi7znE4Wl3mOjlM/P/Yfj+eHJ5E7OE+O5C+QlcdT/QHOxzv+cxTN5jLPrXKqxxNkdh7PATzjOAPUF83homXr1AvxeKrHYnPyeN7NNec6p34uKhePp4cf/8hlnhPL7TLPV3IOVf8gRR4eT7W8caqv0y4vj6d6QJpzJ799l3wuKqk/mIv0v1+R32We2+N8O/7q6AEFXNTHpUbCZZwXdJnnpTkj1B8o5KKNavoXdlFB9eA9p9LiV8RFtdSB4NTP2Rd1URf1Qpy/vPkVirmMc059+Iq70J+70J+70J+70J+70J+70J+70J+70J+70J+7jHOCc4Lz0nBeGs7LwDmnrudlXaaec+p6Xs5l6nk5OC/vQn/uMvW8ggv9ucvU84pwzmn6czivBOeV4ZxzNX/tIVXgvCqcV4XzanBeDc6rw3l1OK8B5zXgvCacc+4dzjO4lovU9F/Bqf9dito8nnqi8HiqaViHx1MtaJzJ1bSpy+Opnpfn1Ie5nss8l8epD0t9F6nZc5xTP0fagMeT/+8sp/7nOhryeLZUE4/H8ycf2EYuUm9/k3OtetnGPJ76QVcXnnfl8VQTlFM/H96Ux1Oome4ixalDMzhvBufN4bw5nLeA8xZw3hLOW8J5KzhvDeet4bwNnLeB87Zw3hbO28F5OzhvD+ft4bwDnHP+H+5D4iw=</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="180">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztz70JwlAUBtBAlkr5akdwiozwcILgABYhI1iksY+Va7iDjZBrCgPiC2J3TvPxwb3vp6oAAODP8j5F7lLZ/Ie5b/ul5/+6t/xn0bXRuxw5nCLv5znzZYo+3aI/rtHrMbLvI5vjKw/p7Z71fete+k4AAAAAAAAAAAAAAAAAANjoCfTYHOA=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=145.098 Q3=145.098 sample=43 experiment=1 RT=5.98 ce=-10.00 name=lysine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="524">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="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=43 experiment=1 RT=4.11 ce=-30.00 name=Glutamic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="196">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0iEOAjEQBdA9WsUKJAJNEAjwOAyCI+C4AMfiABwCMSnJDNngFkLeMz9Np+lM02EAAIA/cRpbyrnvfetjHbnZ52yrvD/V91xz9Ht6f/dj5OMSubvlHK+Ri3Pk8pDPt21knf8195jXvb6vu1pf33Vyv9TVOatPdd/6VwAAAAAAAAAAAAAAAAAAP+AJwI0uFA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=148.044 Q3=148.044 sample=43 experiment=1 RT=2.89 ce=-10.00 name=Methionine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="488">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0r9LAmEYwHGnIBBq6R8JCYmgsyLoP2hsCaohmpoaAgdFIsroagnEyMg07ZdYiEkGLQ1BQwRhBiFiDtVUVBC8z+PwNrf1/Sxf7u5979577zweAADwJyaPHNPGofT5QDqYlZ7vS6sp6X1GGtBxvj29vmuPi+aktUtTZ/jOdGbkTY4D36ZjH5+m1cKLjHcfTEvBaznuupAW9H5FXW+/duJYGtZ1rGfturrO3h1pJGVf/z3Pl7bHTem+jOelHSfS6ZK0UpT3mb2Rhp5MO7dfTUfLnoA5DrWb+ue8pu+3baYx90ve19uU+z1eSZfy9noWdf1DMWlzWeqsSPvWdF5EWl+VVjekrf0K6/db0O8VSdvnnbi0lpA24vZ+1Ld0flLanbHX6U/a81v/RWtcY1Ofp/seTdh19XkD+t9VdNyp7kdPQVrW/T/T/2O+LA3q+ZyOAwAAAAAAAAAAAAAAAAAAAAAAAAAAAPAv/QAaK48v</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=149.046 Q3=59.100 sample=43 experiment=1 RT=2.13 ce=-30.00 name=ribose" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="196">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0bEVwjAMBcCMwihmBEq6NBQU7MRojEJBfhGByAstd41eZEWW7WkC4HfH8Tl/Gt/Xu//zXeNinMcqdnWb+2a+xJrv+jT1h8srztcy3+Ixl3y9n27e5Et9vYf0T8w8dd/7bR1T19VH1t/m2tLMv/lee9+z2beeY3cfAAAAAAAAAAAAAAAAAAAA/t0TOZcnTg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=149.046 Q3=58.800 sample=43 experiment=1 RT=2.70 ce=-30.00 name=arabinose" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0jEOgzAMBVCOlqVH6M7SpRNCqtSxR+kResQOYKQYWTBW1XtL+MFJjMIwAMCfaNe2PEzLON5Sfqz52fr6sa97Xfr5Ledzipzrq7rK0frtu4r6yGf7Ouoj9jnaL3Kej36rviLn9btz033kfat7qt6fldfHue97P8b8Z17Pmfq866P4vwAAAAAAAAAAAAAAAAAAAH7IF/BmNqI=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=151.026 Q3=108.000 sample=43 experiment=1 RT=1.88 ce=-30.00 name=xanthine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="428">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztz6FLA2Ech/HTtKA4m8VgMllFwXCCwWAYwtrKlMHCgRMRVAaeCrKB4cRquGCYQbEKA5Nic2FFMPgHqBgMFkF8v+87eG92QZ5PeXbv3fvb+wYBAPyBuBzqR1FN19S4qibr9n3Ff+9a2LHvIzW/+fsct+6+c/N68yO/+bp9Lvlz3L7CRmZu5vzBnD+vd89KZl4xs1729/X9v30Olvzv+/Zl72PPmTTUWqp2LtTpW9Pw+dE0/Xoxra0Ozv+0G42aLjTHTEvD46bhlJ5bryOmue0BrQ+9ae7kk2n88aDm7rQ+caMuX6uzV+q5bXiprpzZ85+q7RP1/lCdSdT3I3uvpn/Pxp66eKC2YvXz2F93dXPdd25/dd+eo+6vJ7v+erKlAgAAAAAAAAAAAAAAAAAAAAAAAAAAAADwz3wD0lRlNg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=154.062 Q3=93.000 sample=43 experiment=1 RT=6.30 ce=-30.00 name=Histidine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="404">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0L1NA0EQhuENCV2CQ0ogdAku4ULKuBQw+MAGmR/BgfkRInFIuCHhlXAlUAIS+06wBSCS90k+zezsztkpSZIkSZIk6d81b7PfHD5KpveSn68lD17q/H4q+fVcckK9ty05I/NDyU1f8nBb1zvqkTo9lpzz3n7cIzPn+bZke89e+h37BvoT5rq7klMycz5E/4bftWF/3Lus+zHXcb67LtmT4xX1uq7zivl4j2zpt8y3zA8xt67nEzms6v7Y8X0X7CPbM+bPqekn3p3Q7+nPqOe833A/0c9L3mNfH/Oxf1GfT49J7u2iz7sN5zP6I/0uvj9yWb+TuNczP7I3x/dSj6f174j/I+r+hHpR13G/YV9zxDmZ2S9JkiRJkiRJkiRJkiRJkiRJkqQ/9wND74mf</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=157.037 Q3=96.900 sample=43 experiment=1 RT=2.45 ce=-30.00 name=allantoin" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="280">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0i9uAkEUB+A9AmfoKZCIyko8CExVk6YJIUHguAAHICTYGgSW9AQ9UhPevkl2YIpBfp/5Zf69mZ3ZrgOAR2aTa+wXkd1H5OW9z2nk5nU4nuvqzHlZL9eXdqvu7H47M9fd9Pd1Jsv7/SWr9fU58rt+V/+fu1W/vsf5OnK8jXw7Rn6frrk5/ET75RK5OPd56OvtIkefw/2zfmYZb5yjdQ+t90jlf6jeJefnvvU56nllv6/heHr0H9TzAQAAAAAAAAAAAAAAAAAAeJo/QoRbbg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=157.123 Q3=157.123 sample=43 experiment=1 RT=0.63 ce=-10.00 name=C9:0_pelargonic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztzj1KA1EYhtE0wRD8iRj/ViDYmEKwsFEsXYCWUSwCWkxpaWlhYTkLEBTcgKWlRVolCwiS3nQiiPd1D1qc0zzcmfm+uY0G/C/1XXP/pw+9udLRx2Jp/zPnwWG7tD5olXYmeb73OFt6ebqQ7+rMPd0v5f3mcunwPW1drJZebayVjl9zHr+slE53Mjf9yp7BWSf/681n39Hv/c5zn+Ot9Ho996qqmcyd5Dx6y/vb58xV29nTHWbvzW466aYAAAAAAAAAAAAAAAAAAAAA8Ne+Af4wK90=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=160.062 Q3=99.800 sample=43 experiment=1 RT=4.27 ce=-45.00 name=2-aminoadipic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt3GVgFbsWBeDSUqhR2nPqkzk4XNxdsnF3d3d3fbi7u7u7u7s7xbU4VCi0QHk7yeLPurfAkUy+7OwRSuV2r7X7dBU56vmi19+im8ntD1sOqOnqIJeciklcf6a7LHfvtByxt488XNnPPfuEATLv8fpn7zceIjfkWzF+dI7hkppM6jBl1mjZ5Wi/OWHJx8t5rlYn1w2YhNebKu+vLDOxVL6Z8nPtg65xn2bhdebLrI6iXfq4lshCW0o1bLprhTy+9PPgwJGrZZ5q630qZFonOyY6QrsP3SgfxaZ3y5R9q1xSf8WWbQ93yGr6hXfJyw2/Ne8Vu0feeel/qkWN/XJf4V+n220+KI+fCs1c1/OIbBc98af3tGNyXMD/2rXyOSmzDG2RfGW7U/LSW7n2+fHTsmutdOXShJ+VqY64v2nR95zckenNmOXXzsvaM89leJbloozlb2+PviTntZ/YtvmTy7Lwzc4eywpdlY+KVV3zZOY1OWRdjrLi03Xp7zUhelv6m7LlsYGnrt24KXf26TTry7Bb0nff+sEXst6WzbosqBx1/7bclmZieMqxd2T+/02asr/kXXm248PgtD/vynp1sqyctPOefFtiQLbYzvdl18UDl67O8ED+GXs+s9/TB3L0qwsLj8x/KJ3XQjJkqvVIrjnQftt070hZYPVe/saR8vC/fZs2DHssq35MXiCw0BP5+G7d40O+PZFdT6yu9GbjUxkj1h6e0+aZHJ0yttxf67l0xpS+0eHec1mnx8UcnSq+kJnV1978Qo5I20EE+L+UD5tVWlyn90uZd1G2sHl3X0rP1O8mJRZ+JVtUvZiy5JJX8sCEzeNGJL2SAWenepxu/Vp2dus5Kvm51/LSgOMrInK/kdv3FLicatEbOfv75jg3j7cypoM6kG/lgzW9Svo8eCsLR5xsmrb0OykaFhrv3PJOJpu7dWeK4CjZyufPdTEiSpav2Cch9YcomW3s+wwedd/LyYmFy4Qfey97Ft7ezS/LB3lj29/J6Wd9kAVbqJn0US71H+gV3+ej9DiR/8Lz1x9l557fx12q90neTLOt3J5zn3DcPstlIzOfHr/hs0ye9/XIXmFf5LuIwXwovshqVwryR/wi9wyN2Vmr61cZ+uj6z7qvv8ohemJ+kx14tF1Xv8lO6bsNGpLpu7S/Bnx+2+67HJPDFV1q1XdZKfutbnlvf5f68Cd+l482Xd2wKm20bNTieb+DZaNlxADPi8c6RMsm7Yo/rzktWkbZG95X2h4t8/b717XujWiZTk+YaBnIr3rDN0Ym+69x61TZYqSaNcPLx8h+6kC2i5G1pi3o4RgTI3Ps6FnsyaoY6XWrYor1J2Nklgb5+a1ipMcg34z/JcXIF4qdiJVHj/Cv4rFy4dM5E8Y1iZXq7WoOjsVxjMW4xsozd7K3D38VK/9uVRM0Tg7+kDmvV444uft0RD2v2nHy8xIe4AFxMlN/98VeS+Lkql3eZX+eiJOPJ/9t//NNnAzS0H5Icrbml/ohu52++XdH9R+ygX/O3ct6/pCL+vX40nDuD/k0csd/jkM/ZNrS0W2vPv0Bp/GyaZlS7x/liJfzqPkBq2G8nPq4E8+oeHnu0YQbO7fEy38P1i+PuRcvi94/172A20/Z5+4blvJTLjzY6XHZ+j/lrf1qQv403jb9lOX3nKvkffenHL7rTWjVpJ/y4A6PqKn//ZI7qqTO86LOL9nq7c30jwf/koEjZwffX/lLnuGveevCL5m3jnv/p19/Scb48kNwgqydUb1Tgtx0afDneh0SZA76WjB0doLsVrdmwsdjCXJrh51Hj39IkGFV1TslylJqHS2TKNs6x38d0T1R7r3IIBYnSs/hHaefuJAo9WGKS5Qfqzbb+yXdb1k8WfWxqWr+llP3l6yXc9hv+bRrrozVN/2WOdOliet2/7c8VTRDlaEef6TjmzNiSZ4/su3a5B8PN/8j9zb+cShy8h/j8sAf2YBX44i3f+QGXm2KOf7Kwj/m7nhW/K+80KtNwTHt/8qGn3MfyTLjr4xso17gr2z2KKzG1nd/Zfo9K+3mjiSpeZdJknLY+ObJ+iRhfiXJZuW7LVt3Kwmf45+8U71NQKOi/2SWc3ubZej5T+plc9U/OWtN5qhdd/7Buxs9O7g779IwNyq3c8GckrndKGWx7ivvVHCjy2fKbOvcwo2mVQ87/K+/G9V68OX8vGludKP05uJZ17uRXs2Pu1G2Tc6b5R660asP83b7RbtRsSfpHl7xTkZ6HUufjDY1z7ysafFkVGr5mHoD6ySjPL15BnRJRvpwjk5GN1jvuiXJaNiWidv27E1GanXefz0ZzS58Z8HB98kobv/We3mTuZNe/sPcyTfyVibv3O7UsRyvHOXd6cx2t0MPmrlTsUr9s5zr5066LkxzpzG1Ky8bud6dfuU6mND4hDtl/ZLqeJ5H7nT9RuKohdHulHvO9W1/fTwozeaQpIQMHvQq/2efmcU9aN0xNdE96MK8aS/PdvGgyWnafm0y2oO81X8s9qCJcY8fjNrjQSlbLqwWfNWDyqjheOtBLl4mcv3zoMQ18zrtD0tOBb8VKV8xX3LS60TV5OQV1mtT8w7JaeUPD17RktOjsat+t1ySnHrzYX+7Lzl50yWfrjeTU7+ZH2tM/pDcjI+7J+WqUGXldsuTuAj6L83vSUezlTw5sqonLWv6O7h8G09KU4pHYLAn6WV9hie+tyd5cnUpccyT3rW7McXtrid1qrgg49GPnlR5UP0hI5OloCtNbGeJsBS05ca9Bp9zp6BsxWZfGVEpBXmpstM6Bb3hVWntkBR08vPyEjnmpqClHxjCthQUvtCdV+4UpKbtkRcpqPeEVrmz/E5Bt6sUaDo1KCXlVwU2Z0q9OhSqkJLUbw9tkZJ2q2VoQEo6NWbw6qRpKTGPUlL7Uqk8Gx9NScvUduJ2Srq7+B2vuCnJr3LdbNeTUhL/rUI/grzI7Cu8qP6pjWtrkBf1/VOSZ5QX5c354OKSzl40KzVXgOFe9D1aTTwv+naJJ/AmL8qn3vC4F91NoSa2Fx3u6p2wMsrLfL9EL9rW+Vnvyf7exMXTu1N6b9J1vrA39VITuao3Wale5JzZypu6VI+dXrefNx2aluJ7yERvUsvu1qXedCxn1/7VdnrTrALrXn0+400pN31du/C+N6VRX/CDN2nfv72ppvV+7yh/Hzo3I+/AnOl86Om+scNu5vehHzyd+lbwoeqbivz+3tiHvuT78CSypw/lUbDG+tDiReqXD71tvep+gR34+VkfGqbKX6SP8fDNh/T+z8OX9LYj1Jdene2S4kp2X1r04lSJ2tKXav0J6/ugji+Z9dGXzLrqS4eYf6NpvtTr+sTbz1b60gyuns59vvT108miGS77kjp6yV/4kl6mf/hSuPrCfn5w42eOXwk/8k2XePFkPT/yr/O0ct7ufhS/QBUyPyqZg4/oMj9SszPvAT86/0R9cT/SdeSzHxXgXUBRr1SUSm0UM6Qi9bESSqUivW1tkooWRLa/fah/KjrTbnOrerNTUY2Sb7f83J6KhvDyOftKKuJN4riC71ORVU9VWH/ioyKaZPQnvX8r50/XWg3+353W/vR1VZeXK0b4U8CK1g1HLvWnfEsbXWt1yJ/qLapZtvR9fxowv8KhdLH+VFRvaFLTkWrFDsRnT00+aiNUJTWFqY1bx9Sk90/jUpv5sjo1fcyqdpKp6djxD70mvEhNM+r2y7jgX2rKFRlfa19AAJ3dlavHmnQBlL3NpxzT8gXQbMfGTwPKBlAjtYDWDaDhv/yOuLcLoH6RtCFVvwDS+/KxAaS3tXMD6N2dWjPPrQkgve3ZHUCjeoU9z3Y6gPR251YA8ajUyfIigE5e6Dvz49cASq4K+d8Aqvxm46XBfoE0rU/ZDqWtQLrt9szdO1sgqVnasUgg1VcvXD6QdLtQJ5DWdE9d37dlIKly37xrIKnd0M6BgWYcxwaS2kU3nhlIg9RGemkgra/NG9KNgXTnv8LtQvYGkpv6dTKQFMcPVwKpyfZZhe884PdT2+5XgWT2TYGUfUII79gCqX3bIrsWJ3OQ2uYk+DgoYWXHPR+dDoq9NzT0iXAQr8ZDr2VyUEj59BWr53IQF7O9Fws5yFc1AtJBvGr+qF7RQa2WDLncsKaDmk6dS80bOoibkxOfWziIV49Swzo4KO3tni1T9nCQWDX12fz+DuqlCtJQB8U95I3fKAep3ejuCQ66EnDh8MFpDqqpNkZzHLSGd+OXFjko86A8Ne+ucBAvmgsi1zkoaUd1noEOqqPao10OuhfVJXv8AQc1Dj1wy+24w4zXWQdNuDp6QL9LDnLXX5h/zrvmMnf586lt9CP++VFPR9BzB20tzR3PG/75heSp331wkN5mfOOf3/bwOxjnoAaNxvikS+Sf8+Gb/M9BW9pyZ5DcSa1VI+LtJFX2a/s76Xez7ueSHE7aqT5eqJMCm3bsPNdyUtnSITMGpXFSf70RcNKDAlyYsjjJ21reImt2J+l9TW4ndY/6vSk6n5NWXNt8414hJ7mpxqSY06yfpZzUTjWQZZyktxMVnPRzsW/lulWc1GhjwWvFazhp8vQ3MWnqOE2dbewkHtWo8q2cNPfW490NOjqpTcORT7r24Nfdz+1PfyctD7rTZ9owJ+n+aQx/HjUBJjtpY8PL+c7OclKF/bF/7y50krPEwiwfVzhJ5OOVbp3TjOd2J13gbuvfYSdNSc87mgtOqukK6VL9jpOCePfV7zk+30cnRVrDWuf74aTp/XtbqdyCTH31DiLdrziD6MXAd7+GiiBa0PXNtbhMQVS95avV3XMHkUdd/p0iQfShe+MtbcsEkVo2nlQNovr6V5CpTy2C6HSJ2v8qdAoiNU1O9A4itSssMjSI3obyRnNsEPG32ZVrehCNUu3MgiDS/dSqIFLDtGhzEK1JxhNhbxA1UdvEY0EU8OHADo8LQRSvtgk3g2jrT97APAoitXz0eR1ErL/Np89BdOM2w4sPonGq7fwXRMUPZ3xZ3zuYYtT2yRFMimFVEUzTji46fjZTMPZ3wWZ/UiSY9P+WCaaOU2Y5NlYNJnvEjKi09YOJj8rRRS2CTZ3rFEz6fEHvYNL9xNBgeqK2+2ODaXazpLKJ04KpkiosC4KJ/+/Lp5XBZPr6YOKmNP7lnmCqXaHnlSbHgs2+8nywqZc3g6lvus5Vzj0KpmzBHdOUeh1Marn8/i2Ypjzkhv1PML5PCOl+JiSElv6PF8r0ITg+IXQ9vHakVSKEtvPXvV0phHI/zZhiVP0QeqG2SW1CaObKX3nf9Qih0qohHxpCalmrOjGEVpfniTU3hHQbvyqEPNTGbnsI7fnYd1/wkRBqx3/s4oUQCtpe8eWQuyE0n3dzWV+GEDdv365Gh9DA15fP93IPpfdp7y0LcoZSVrX8ZQgl3TcVCDWfu3IoPf0Xebdui1DS5wF6hZLq0uNHhZJuL+aEEivfMXddKB2O5MbsQCg51MbzfChN6cYQb4Wa/dvTUBrxu1iv6+9DSY1qq7hQ6qOg/QslfX7GN4y4GWwUGhpGz1/4ztmUPsx4zBVGatm7XjSMqhWeVLpV+TA6l7R7aEytMJKqADcLw/ENI49c+66s7RtG//vxzLPwiDCKP+pFlyaHUa+x+YY0nR9Gut1fHUbPqvHAb+PXD5okCh7i12fWF86Gmbpwk1+ftxufHvPr58vjOTwqjHjXLQNiw4hnjbU8KYzU9r6ATzhlUo1EcDjptj9dOKnpHpUjnNqOeFRycJFwelKBO+Ny4aT70ZrhdFNtT5uGU2V1QqBDuNkH9Ak3+4r/hZNaJgZNCqc8R7Kk9p0XTptH8wZ4ZTjF6dNQ4dRdFegD4RS1q+6immfCqTVvB15eDyddbiPDSW8b3oWjLwg3+7CEcPqzKfp2dfcIGjomd7X1PhFYXyNIn2ewIighNX/yDBFk+u8Ic3wKRNCgpaszHCoRQZn1Bj2C1g/gmVE9wnzv+hG0LitP+BYRlFEtMB0iSPexPSLoRR3ecQyMoFY5Es7NHhFBzz0Ly08TImg6H6ZKMyNIbUNXLoygqYfUBjaC/OZsGl17U4SZL7siyLcCCz0cYfqV0xFUNK04f+ByhDkOdyKoCLdTnR5H0AFup069jiB9nuQzf67sXIG+R5DaLnyOiyDdNyZEkOoGTvyNMPsNd4t0O53CQr226ARvd1qltkifbnFa1N0vS4P8YRap8rtcWGQpkOksitya2Kx7Jov06amsFk28sTM75bKoYvXrbTfks4hnzRL/whbNbaN2DBapbWRQEYvU9mEBpz7vV9SiSyeDfi3j1PWwmGX275y6/yhumT6JU/fnJSwKr8EdP+f6txGD85e0yJzHs+iUeplSFqnfPsr5uCzvgKRFnfV/WKZukUV7eFt8jVO1ZbVKW2Yfydn0V9SMBmUsej+jwepHnLqulrVIn8/inMk/blPOIn3eiXPLuBFJncpbVET9gHO+aisrWJRBTQjOF6+LVupf0aJS9XL+ieXUp1Er8Tip03ac+rxXZYv4Vdcmr2KRWxUeAc7p/DIpqvI4q9NinBsDVs/wq2ZRIfUfnGd4W+eobpm+nfNpD3UmgcdTDTgnj0KSq6ZF4wryX+A05ystUtvpjZzq02SvbdGROXxgOPV5szoWeX48/PQg5+xRWb8Xr2tRGtUQcur9TT0LfYBFaltfqb5F9QfWqXaFk0eVP7pFPdfn7n2LU79dQ4sm3/Ob/4BTnTxu0ojHU31QTqWiWWMeTz9uDDj1eb8mFul2m1PP56aWWXc4NaNmPJ76tDjPRwWrOY8nT6dfnPo8aAuLgtUX51SjNaqlZfqbVhapNn0Kpxpen9YW6dMdnO3VALWxzPkMTh7VayFtLdOvcC5Wp+/aWWTOV1ukfjtDe8ucF+DUfW4Hi/R5HM6PzCZ3R8vsOzl1/9LJMuc7OHXf2Nkifb6Ks1iS60bpLhbOR1ikp0lXy/R3nD3VC3ezSB2uW5xqltfrzuOpJhin+tRNelhYZ+C2J4+nOi/PqT9WL4s6qtNjnHHqZXpbpE/bc6ZWH7SPRea8rUVZFai+PJ7M7A+nvt7QzyI1O9z7W6RGYRynOQ9pkZqeUwbA+UA4Hwjng+Ccs4R+YTgfDOdD4HwInA+1SA3H5qFwPgzOh8H5/+D8f3A+HM6Hw/kIOB8B5yMtUrvri5yBekJYtJxZ3ODU0320RYc68V/grKDhWaSXUc7WauKMtegrT5OXnPrwj7NIHdaocXA+Hs459fBOgHNOPRwTLdLb+4lwPsmivgrKZDifDOdT4HwKnE+F86lwPg3Op8H5dDifDucz4HwGnM+E85lwPgvOZ8H5bMv0hZxt1bI8x8J5FYv0MjoXzjn1ed15lqlv8+B8Pq+bCsp8OF9gmX6Q871aBhbC+UI4XwTnnLaasIvhfDGcL4HzJXC+FM6XwvkyOOfU02Q5nC+H8xVwvtIyffpKOF8F56vgfDWcr4bzNXC+Bs7XwvlaOF8H5+vgfD2cr4fzDXC+Ac43wvlGON8E55vgfDOcb4bzLXC+Bc63wvlWON8G59vgfDucb4fzHXC+A853wvlOON8F57vgfDec74bzPXC+B873wvk+ON8H5/vhfD+cH4DzA3B+EM4PwvkhOD8E54fh/DCcH4HzI3B+FM6PwvkxOD8G58fh/Dicn4DzE3B+Es5PwvkpOD8F56fh/DScn4HzM3B+Fs7Pwvk5OD8H5+fh/DycX4DzC3B+Ec4vwvklOL8M55fh/AqcX4Hzq3B+Fc6vwfk1OL8O59fh/Aac34Dzm3B+E85vwfktOL8N57fh/A6c34Hzu3B+F87vwfk9OL8P55zLv204X/UBnHOq0yO1H1qmj+fU+8pHljnv+AjOI+E8Es4fw/ljOH8C50/g/CmcP4XzZ3D+DM6fw/kLOH8B5y/h/CWcv4LzV3D+Gs5fw/kbOH8D52/h/C2cv4Pzd3AeBedRcP4ezt/D+Qc4/wDnH+H8I5x/gvNPcP4Zzj/D+Rc4/wLnX+H8K5x/g/NvcP4dzr/DeTScR8N5DJzHwHksnMfCeRyc/4DzH3AeD+fxcP4Tzn/C+S84/wXnCXCeAOeJcM5ZRk2E33D+G87/wPkfOP8L53/hPAnOk+D8H5z/g3M3YZxzaufJhHHOqZ27C+OcUzv3EMY5p3aeXBjnnNq5pzDOObXzFMI459TOUwrjnFM79xLGOad27i2Mcx9hrntxHuP22sdXEHcrj6dxPizMjYGfoPY3prjN5dTX31MJGpnUKdNizlTzHxS2/QUtzskNDqc+jZda0L5mGXqu5ywTN2tU1gBB6q9v5WzOP84dKEht03dzqu13QYcw+3ZOvW93CrNv59T79iBhrp9x6n17sDD7ds5X6naNEGH27Zz6skuoMPt2Tr1vDxOkrlY+5dTn1cMF6cv7nHrfHiFIX8/k1PeJWILUx/7OOZo/Tl8hKDW/TTyn+uuDbUHZ+Md/OPW+3SWonPrAaQTp68ecLWvEH/VKK8y+nVO19f7pBKUM5hHh1Oct0gtSlw0Xcu54PC27lUFQCXXhiFO1dekyCmqoGivON9yGZckkSB2mzZxq+HNmFjSVh3Unp77ulUWQGob9nPq6xX+C1Mc+yqk+DmUV9ITf5gxnZ/7rFbIJcz6Fc2w9HtDswlwP5NSXQ3MIymGdmXSPU1+HycnzUk0MTn2fTC5hzldw6tsYcvO83NjkVxSnvl6Yh+clT4+vnOqw984raBcfzjhOfb01nzDXDTgbqwY2vzDXAwsIc/2MU9/PUVDQdP7YkzjVx/ErJEi9zQzOQmpCFhakfjyfU1+HLSLMdWNO058LUm3xas7x3O5mKibIqSYGp5rm2YsL9OeCjvC0zFtCkJpuezlNfy5IXy/nVIe9ZCmB/lygPxfozwWpYa1CAv25QH8u0J8L9OcC/blAfy7Qnwv05wL9uUB/LtCfC5zfFqTYxHCa/lyQmua/OE1/LtCfC1LTbVRlgf4czqvAeVU4rwrn1eC8GpxXh/PqcF4DzmvAeU04rwnnteC8FpzXhvPacF4HzuvAeV04rwvn9eC8HpzXh/P6cN4AzhvAeUM4bwjnjeC8EZw3hvPGcN4EzpvAeVOB/hzOm8F5MzhvDufN4bwFnLcU6M/hvBWcc5r+HM5bw3kbOG8D520F+nM4bwfn7eC8PZy3h/MOcN4BzjvCeUc47wTnneC8M5x3hvMucN4FzrvCOafpz+G8G5x3F+jP4bwHnHOa/lygPxfozwX6c4H+XKA/F+jPBfpzOO8r0J8L9OcC/blAfw7nAwT6c4H+XKA/F+jP4ZzT9OcC/blAfy7Qnwv05wL9uUB/LtCfw/n/BPpzgf4czofD+Qg45zT9Oer5SNTzUajno1DPR6Oej0Y9H4N6Pgb1fCzq+VjU83Go5+NQz8ejno9HPZ+Aej4B9Xwi6vlE1PNJqOeTBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+XKA/F+jPBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+XKA/F+jPBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+HM45TX8u0J8L9OcC/blAfy7Qn8P5CoH+XKA/h/NVAv25QH8u0J8L9Odwzmn6c4H+XKA/F+jPBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+XKA/F+jP4XyrQH8u0J/DOafpzwX6czjfAec74HwnnO+E811wvgvOd8M5p+nP4XwPnO+F831wzmn6czjfD+cH4PwAnB8U6M/h/BCcH4Lzw3B+GM6PwPkROD8K50fh/BicH4Pz43B+HM5PwPkJOD8J5yfh/BScn4Lz03B+Gs7PwPkZOD8L52fh/Bycn4Pz83B+Hs4vwPkFOL8I5xfh/BKcX4bzy3B+Bc6vwPlVOL8K59fg/BqcX4fz63B+A85vwPlNOL8J57fg/Bac34bz23B+B87vwPldOL8L5/fg/B6c34fz+3D+AM4fwPlDOH8I54/g/BGcR8J5JJw/hvPHcP4Ezp/A+VM4fwrnz+D8GZw/h/MXcP4Czl/C+Us4fwXnr+D8NZy/hvM3cP4Gzt/C+Vs4fwfn7+A8Cs6j4Pw9nL+H8w9w/gHOP8L5Rzj/BOef4PwznH+G8y9w/gXOv8L5Vzj/Buff4Pw7nH+H82g4j4bzGDiPgfNYOI+F8zg4/wHnP+A8Hs7j4fwnnP+E819w/gvOE+A8Ac4T4TwRzn/D+W84/wPnf+D8L5z/hfMkOE+C839w/g/O3Wz05zb6cxv9uY3+3EZ/bqM/t9Gf2+jPbfTnNvpzG/25jf7cRn9uoz+30Z/b6M9t9Oc2+nMb/bltnHNq5762cc6pr+/62ZRi1LyyUzi181S2cc6pnfvbxjmndp7aNs45tfMA2zjn1M4DbeOcUzt32MY5p3butI1zTu08yDbOObXzYBvX0W3jPMQ2zjnN/X+2cc6pnYfZxjmndh5uG+ec2nmEbZxzaueWbZxzaufCNs45tXPbNs45tXOXbZxzaudpbOM8rW2cc+rhTWcb55zaeXob9wnb5uNnsHEfoG2cZ7SNc07925ls45xTO89sG+ec2nkW2zjn1M7/s41zTu08q22cc2rn2WzjnFM7z27jvknbOM9hG+ec2nlO2zjn1M5z2cY5p3ae2zbOObXzPLZxzqmd57WNc07tPJ9tnHNq5/lt45xT339SwDbOC9rGOad2Xsg2zjnN9XMb189tXD+3cf3cNs6L2rh+buP6uY3r5zaun9vGOWezGad//FfCNve3cg5Uj4mUtM19hZyzvgyTBUvxeI77VPsg51bRpF1xaVNRdQM9p7l+zuP5et2SswTnpeG8NJyXgfMycF4WzsvCeTk4Lwfn5Xk81WMe5eG8Ao/n37uDPlSA84o2qdtFvnEuPZt2Z59KPJ7qi3Dq+0Mq21RO3SjBeSv944ThVXg81eMoVW1zH01VOK8G55xzwvgbV7fNfYuc6nAE1bBJPRWygFM/P1PTxn0qNqmvm7YWj2dJnwdrOJP442WubZv7MzjD1QDWsWk9/7GdnPnVr7o2nbq8qvx+zhrqdv16NvGn63KUUz2VJOvzeP7HX4RzzEn+gw1scx8kpz7f3tA291Ny6vPtjWxzvp1Tn29vbJvz7Zxf+bC1aMLjqSYWp7pNtl1THs+y/Ak5M6g3bsbjqW7T5FRfo1dzXjf548Vyqrcd0MI29+dy9lUfsKVt7vtsZZN+3IVT3/fR2qaN56sWnsSpn/tpw+vmD/4inPq5mLa8bmbkkebU97u243VTPQbAqaaVq71NDvWFOVdG8At24HWTD+8GTv08WkdeN/lwbOe8x8Oct5NNavj2cn7nYSncmddN9cQRp75/twuvm/zxTnJmUge4K6+b/HLnOfWDSd143bzKvzj1cz/dbVK3Q97m7K8mQg847wHnPeG8J5z3gvNecN4bznvDeR847wPnfeGc0/TncN4fzvvD+QA4HwDnA+F8IJwPgvNBcD4YzgfD+RA4HwLnQ+Gc0/TnNvpzG/25jf7cRn9uoz+30Z/b6M/hfCTq+Ug4HwXno+B8NK+bpXkGjobzMXA+Bs7HwvlYOB8H5+PgfDycj4fzCajnE+B8Iur5RNTzSajnk+F8MpxPgfMpcD4VzqfC+TQ4nwbn0+F8OpzPgPMZcD4TzmfC+Sw4nwXns+F8NpzPgfM5cD4XzufC+Tw4nwfn8+F8PpwvgPMFcL4QzhfC+SI4XwTni+F8MZwvgfMlcL4UzpfC+TI4Xwbny+F8OZyvgPOVcL4SzlfB+SrU89Wo56tRz9egnq9BPV+Ler4W9XwdnK+D8/Wo5+tRzzegnm9APd+Ier4R9XwTnG9CPd8M55vhfAvq+RY43wrnW+F8G5xvg/PtNu4vtkmVwWY7eH+k/iDn5ujb1dvstEndTvmW8xxPv067bNwHbpOaLj122+Y+as5EPrz99vD+SN3uvgf1fK9t7j/l1Per7rNJP4a7n/dH6jFbTv3c5QGb9OOHnDH8tgEHeTzVQsmp/ljIIds8F8KZRT3wcJjHUz2/xqmvqx2xzXNVR1DPj6KeH0U9P4Z6fgz1/Djq+XHU8xOo55wX+PCWPol6zqmW3YqneH+kDhynvk/yNJxz6ucxz/D+SD0+yqmfxzhrk3rbp5z6ftRzcM7ZQf06D+ecimW3C6jnF+D8Iur5RdTzS6jnl+D8MpxfgfMrcH4Vzq/C+TU4vwbn1+H8OpzfgPMbcH4Tzm/C+S04vwXnt+H8NpzfgfM7cH4Xzu9i334P+/Z72Lffx779PvbtD+D8AZw/hPOHcP4Izh/BeSScR8L5Yzh/DOdPeDyrqieKeDxfNy3f7alN6nGJb5z6ee5ncP4Mzp/zeD4cu+o3Z4tesXuGv7DpU8o255O9hPOXqOevUM9foZ6/Rj1/jXr+BvX8Der5Wzh/C+fvUM/foZ5HoZ5HoZ6/Rz1/j3r+Ac4/oJ5/hPOPcP4J9fwTnH+G889w/gXOv8D5Vzj/Cuff4PwbnH+H8+9wHg3n0XAeA+cxcB4L57FwHgfnnPp5hx9wHg/n8XD+E85/wvkvOP8F5wlwngDniTye6rHBRDj/Dee/4fwPnP+B879w/hfOk+A8Cc7/wfk/OHdzGeec2nkyl3HOae6HdhnnnPp+ag8X9at8esttTveXeY7XT+6iGYNW3HzIqZ17umgzf/tnnIUlz6QULtKPv3Lq59lTuoxzTtOfu4xzTu3c22Wcc2rnPi7j3NeF+99d6M9d6M9dxnkql3HOqZ37u4xzTu08tcs459TOA1zGOad2Hugyzjm1c4fLOOfUzp0u45xTOw9yGeecup4Hu0w959T1PMRl6jmnruehLuOcUzsPcxnnnNp5uMs459TOI1zGOad2brmMc07tXLiMc07t3HYZ55zm323g8VTTkNM8D+Qyzjm187Qu4zwdjycfvrGcKdQBS8/jeV09wO8i/c8NZODxVI/zcxafl1AgKKOL1L9KsIBTP9eciceT334Zp37ZzDyek9UDOi7znE4Wl3mOjlM/P/Yfj+eHJ5E7OE+O5C+QlcdT/QHOxzv+cxTN5jLPrXKqxxNkdh7PATzjOAPUF83homXr1AvxeKrHYnPyeN7NNec6p34uKhePp4cf/8hlnhPL7TLPV3IOVf8gRR4eT7W8caqv0y4vj6d6QJpzJ799l3wuKqk/mIv0v1+R32We2+N8O/7q6AEFXNTHpUbCZZwXdJnnpTkj1B8o5KKNavoXdlFB9eA9p9LiV8RFtdSB4NTP2Rd1URf1Qpy/vPkVirmMc059+Iq70J+70J+70J+70J+70J+70J+70J+70J+70J+7jHOCc4Lz0nBeGs7LwDmnrudlXaaec+p6Xs5l6nk5OC/vQn/uMvW8ggv9ucvU84pwzmn6czivBOeV4ZxzNX/tIVXgvCqcV4XzanBeDc6rw3l1OK8B5zXgvCacc+4dzjO4lovU9F/Bqf9dito8nnqi8HiqaViHx1MtaJzJ1bSpy+Opnpfn1Ie5nss8l8epD0t9F6nZc5xTP0fagMeT/+8sp/7nOhryeLZUE4/H8ycf2EYuUm9/k3OtetnGPJ76QVcXnnfl8VQTlFM/H96Ux1Oome4ixalDMzhvBufN4bw5nLeA8xZw3hLOW8J5KzhvDeet4bwNnLeB87Zw3hbO28F5OzhvD+ft4bwDnHP+H+5D4iw=</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>eJzt0rEKgzAQANB8VkfHzJ2cShEKnYpjx3xiP6lQo+Cp1ULH95bjksO7JKYEAACsKo/mE6/3Gm9DfPVD7J91vZvXlXaIzXmelxzWa55O6/kUx3nyPP+b0Ofnuo31rfMdPsfeXHv3FuLiXeI8sV/Np/ftdr7Tft8/+u5b85VL6BPzUD/+r2NdPM/ifnLYBwAAAAAAAAAAAAAAAABI6Q3AUzvL</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=163.061 Q3=100.800 sample=43 experiment=1 RT=2.58 ce=-15.00 name=&quot;1,5-anhydroglucitol&quot;" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0q9KBFEUB+B9Ah9BfZRbBvYFbAaLxSiIsCAsGASDCBabJrO4xWhQsPoC5m1u1CAI99y7MBcHJxq+r/yYc/+dOzOTCQD8F3spx7yLTDvp12m1XucNWY83+7Y5tG+baX+gXvsc2X/b39A96vp6bjqKvL6IXN1Fdo85n7becm4/L3OuNj9z3nffOee7XzHv4SNy4z3WH75Evi4ilzeR06tyzlk597w8n/br6aTf5+WsjB/36+33WN+r3PP2oD/vr/fcGvtfAAAAAAAAAAAAAAAAAAAAMNoPM8dIyQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=164.072 Q3=103.100 sample=43 experiment=1 RT=2.53 ce=-30.00 name=phenylalanine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="376">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0q1KBFEYh/GDGE2LwbwoWFYwGGxj2BsQRJvJIoJis41lYLHYBIsrGhZcZINaNGwQwyZBxKSsl+DHBYjv/7wLe3DYZHt+5WHOnI9hZkIAAOCf5OuZdWdXzTbVUI/dGK7fH8yL477PYF1JR85L90v4ufl2Mi95vvS8soaVv6/Tce/UfrzfUOdvrPnei/Xx+Vvj55Wl37xVZ6y9fM5aXNask2PT1oma5s3Wg7W7+mHrs7u+uvyk/Rd7audB+3e66tet+nqtLsQWeq7wfqUet9XPC7XVUu+bauVsuFun6uGJ2j5Sx2ObB+pakbwX/19K3p+P+3r/jv7/pesBAAAAAAAAAAAAAAAAAAAAAAAAAAAAACP9AJUgWwk=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=167.021 Q3=69.100 sample=43 experiment=1 RT=3.27 ce=-45.00 name=uric_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0qFKBFEUBuBlfQ2DQcyW6WsxC4IYJ5kMwoJgcrCIyY0Gq2DcRxgMYrRpFNYgYlAsBkHhnrlhl11ZZQ0L31d+7pw5hzOXabUAAGaoWu/8eJ62b1b+us9v507dtzW+L88bzeyhjPPr3vjnk/onzct75Fzajbw8i1y+SFkVdZy3b1N2Ngcp6/v3lKs3X1G/bq+l9doLKcvFz6g/v8X7L3fx3spVZNGPfDxv9jqN/DiOfOo1WTX1w+F6b7/ZfyeyPIncOBqulweR+d7qbmS+t/zdec7offzXfwkAAAAAAAAAAAAAAAAAAHPiG9BLSVI=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=173.082 Q3=111.000 sample=43 experiment=1 RT=3.58 ce=-30.00 name=Sebacic_acid写错，正确那个是suberic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt3GVgFbsWBeDSUqhR2nPqkzk4XNxdsnF3d3d3fbi7u7u7u7s7xbU4VCi0QHk7yeLPurfAkUy+7OwRSuV2r7X7dBU56vmi19+im8ntD1sOqOnqIJeciklcf6a7LHfvtByxt488XNnPPfuEATLv8fpn7zceIjfkWzF+dI7hkppM6jBl1mjZ5Wi/OWHJx8t5rlYn1w2YhNebKu+vLDOxVL6Z8nPtg65xn2bhdebLrI6iXfq4lshCW0o1bLprhTy+9PPgwJGrZZ5q630qZFonOyY6QrsP3SgfxaZ3y5R9q1xSf8WWbQ93yGr6hXfJyw2/Ne8Vu0feeel/qkWN/XJf4V+n220+KI+fCs1c1/OIbBc98af3tGNyXMD/2rXyOSmzDG2RfGW7U/LSW7n2+fHTsmutdOXShJ+VqY64v2nR95zckenNmOXXzsvaM89leJbloozlb2+PviTntZ/YtvmTy7Lwzc4eywpdlY+KVV3zZOY1OWRdjrLi03Xp7zUhelv6m7LlsYGnrt24KXf26TTry7Bb0nff+sEXst6WzbosqBx1/7bclmZieMqxd2T+/02asr/kXXm248PgtD/vynp1sqyctPOefFtiQLbYzvdl18UDl67O8ED+GXs+s9/TB3L0qwsLj8x/KJ3XQjJkqvVIrjnQftt070hZYPVe/saR8vC/fZs2DHssq35MXiCw0BP5+G7d40O+PZFdT6yu9GbjUxkj1h6e0+aZHJ0yttxf67l0xpS+0eHec1mnx8UcnSq+kJnV1978Qo5I20EE+L+UD5tVWlyn90uZd1G2sHl3X0rP1O8mJRZ+JVtUvZiy5JJX8sCEzeNGJL2SAWenepxu/Vp2dus5Kvm51/LSgOMrInK/kdv3FLicatEbOfv75jg3j7cypoM6kG/lgzW9Svo8eCsLR5xsmrb0OykaFhrv3PJOJpu7dWeK4CjZyufPdTEiSpav2Cch9YcomW3s+wwedd/LyYmFy4Qfey97Ft7ezS/LB3lj29/J6Wd9kAVbqJn0US71H+gV3+ej9DiR/8Lz1x9l557fx12q90neTLOt3J5zn3DcPstlIzOfHr/hs0ye9/XIXmFf5LuIwXwovshqVwryR/wi9wyN2Vmr61cZ+uj6z7qvv8ohemJ+kx14tF1Xv8lO6bsNGpLpu7S/Bnx+2+67HJPDFV1q1XdZKfutbnlvf5f68Cd+l482Xd2wKm20bNTieb+DZaNlxADPi8c6RMsm7Yo/rzktWkbZG95X2h4t8/b717XujWiZTk+YaBnIr3rDN0Ym+69x61TZYqSaNcPLx8h+6kC2i5G1pi3o4RgTI3Ps6FnsyaoY6XWrYor1J2Nklgb5+a1ipMcg34z/JcXIF4qdiJVHj/Cv4rFy4dM5E8Y1iZXq7WoOjsVxjMW4xsozd7K3D38VK/9uVRM0Tg7+kDmvV444uft0RD2v2nHy8xIe4AFxMlN/98VeS+Lkql3eZX+eiJOPJ/9t//NNnAzS0H5Icrbml/ohu52++XdH9R+ygX/O3ct6/pCL+vX40nDuD/k0csd/jkM/ZNrS0W2vPv0Bp/GyaZlS7x/liJfzqPkBq2G8nPq4E8+oeHnu0YQbO7fEy38P1i+PuRcvi94/172A20/Z5+4blvJTLjzY6XHZ+j/lrf1qQv403jb9lOX3nKvkffenHL7rTWjVpJ/y4A6PqKn//ZI7qqTO86LOL9nq7c30jwf/koEjZwffX/lLnuGveevCL5m3jnv/p19/Scb48kNwgqydUb1Tgtx0afDneh0SZA76WjB0doLsVrdmwsdjCXJrh51Hj39IkGFV1TslylJqHS2TKNs6x38d0T1R7r3IIBYnSs/hHaefuJAo9WGKS5Qfqzbb+yXdb1k8WfWxqWr+llP3l6yXc9hv+bRrrozVN/2WOdOliet2/7c8VTRDlaEef6TjmzNiSZ4/su3a5B8PN/8j9zb+cShy8h/j8sAf2YBX44i3f+QGXm2KOf7Kwj/m7nhW/K+80KtNwTHt/8qGn3MfyTLjr4xso17gr2z2KKzG1nd/Zfo9K+3mjiSpeZdJknLY+ObJ+iRhfiXJZuW7LVt3Kwmf45+8U71NQKOi/2SWc3ubZej5T+plc9U/OWtN5qhdd/7Buxs9O7g779IwNyq3c8GckrndKGWx7ivvVHCjy2fKbOvcwo2mVQ87/K+/G9V68OX8vGludKP05uJZ17uRXs2Pu1G2Tc6b5R660asP83b7RbtRsSfpHl7xTkZ6HUufjDY1z7ysafFkVGr5mHoD6ySjPL15BnRJRvpwjk5GN1jvuiXJaNiWidv27E1GanXefz0ZzS58Z8HB98kobv/We3mTuZNe/sPcyTfyVibv3O7UsRyvHOXd6cx2t0MPmrlTsUr9s5zr5066LkxzpzG1Ky8bud6dfuU6mND4hDtl/ZLqeJ5H7nT9RuKohdHulHvO9W1/fTwozeaQpIQMHvQq/2efmcU9aN0xNdE96MK8aS/PdvGgyWnafm0y2oO81X8s9qCJcY8fjNrjQSlbLqwWfNWDyqjheOtBLl4mcv3zoMQ18zrtD0tOBb8VKV8xX3LS60TV5OQV1mtT8w7JaeUPD17RktOjsat+t1ySnHrzYX+7Lzl50yWfrjeTU7+ZH2tM/pDcjI+7J+WqUGXldsuTuAj6L83vSUezlTw5sqonLWv6O7h8G09KU4pHYLAn6WV9hie+tyd5cnUpccyT3rW7McXtrid1qrgg49GPnlR5UP0hI5OloCtNbGeJsBS05ca9Bp9zp6BsxWZfGVEpBXmpstM6Bb3hVWntkBR08vPyEjnmpqClHxjCthQUvtCdV+4UpKbtkRcpqPeEVrmz/E5Bt6sUaDo1KCXlVwU2Z0q9OhSqkJLUbw9tkZJ2q2VoQEo6NWbw6qRpKTGPUlL7Uqk8Gx9NScvUduJ2Srq7+B2vuCnJr3LdbNeTUhL/rUI/grzI7Cu8qP6pjWtrkBf1/VOSZ5QX5c354OKSzl40KzVXgOFe9D1aTTwv+naJJ/AmL8qn3vC4F91NoSa2Fx3u6p2wMsrLfL9EL9rW+Vnvyf7exMXTu1N6b9J1vrA39VITuao3Wale5JzZypu6VI+dXrefNx2aluJ7yERvUsvu1qXedCxn1/7VdnrTrALrXn0+400pN31du/C+N6VRX/CDN2nfv72ppvV+7yh/Hzo3I+/AnOl86Om+scNu5vehHzyd+lbwoeqbivz+3tiHvuT78CSypw/lUbDG+tDiReqXD71tvep+gR34+VkfGqbKX6SP8fDNh/T+z8OX9LYj1Jdene2S4kp2X1r04lSJ2tKXav0J6/ugji+Z9dGXzLrqS4eYf6NpvtTr+sTbz1b60gyuns59vvT108miGS77kjp6yV/4kl6mf/hSuPrCfn5w42eOXwk/8k2XePFkPT/yr/O0ct7ufhS/QBUyPyqZg4/oMj9SszPvAT86/0R9cT/SdeSzHxXgXUBRr1SUSm0UM6Qi9bESSqUivW1tkooWRLa/fah/KjrTbnOrerNTUY2Sb7f83J6KhvDyOftKKuJN4riC71ORVU9VWH/ioyKaZPQnvX8r50/XWg3+353W/vR1VZeXK0b4U8CK1g1HLvWnfEsbXWt1yJ/qLapZtvR9fxowv8KhdLH+VFRvaFLTkWrFDsRnT00+aiNUJTWFqY1bx9Sk90/jUpv5sjo1fcyqdpKp6djxD70mvEhNM+r2y7jgX2rKFRlfa19AAJ3dlavHmnQBlL3NpxzT8gXQbMfGTwPKBlAjtYDWDaDhv/yOuLcLoH6RtCFVvwDS+/KxAaS3tXMD6N2dWjPPrQkgve3ZHUCjeoU9z3Y6gPR251YA8ajUyfIigE5e6Dvz49cASq4K+d8Aqvxm46XBfoE0rU/ZDqWtQLrt9szdO1sgqVnasUgg1VcvXD6QdLtQJ5DWdE9d37dlIKly37xrIKnd0M6BgWYcxwaS2kU3nhlIg9RGemkgra/NG9KNgXTnv8LtQvYGkpv6dTKQFMcPVwKpyfZZhe884PdT2+5XgWT2TYGUfUII79gCqX3bIrsWJ3OQ2uYk+DgoYWXHPR+dDoq9NzT0iXAQr8ZDr2VyUEj59BWr53IQF7O9Fws5yFc1AtJBvGr+qF7RQa2WDLncsKaDmk6dS80bOoibkxOfWziIV49Swzo4KO3tni1T9nCQWDX12fz+DuqlCtJQB8U95I3fKAep3ejuCQ66EnDh8MFpDqqpNkZzHLSGd+OXFjko86A8Ne+ucBAvmgsi1zkoaUd1noEOqqPao10OuhfVJXv8AQc1Dj1wy+24w4zXWQdNuDp6QL9LDnLXX5h/zrvmMnf586lt9CP++VFPR9BzB20tzR3PG/75heSp331wkN5mfOOf3/bwOxjnoAaNxvikS+Sf8+Gb/M9BW9pyZ5DcSa1VI+LtJFX2a/s76Xez7ueSHE7aqT5eqJMCm3bsPNdyUtnSITMGpXFSf70RcNKDAlyYsjjJ21reImt2J+l9TW4ndY/6vSk6n5NWXNt8414hJ7mpxqSY06yfpZzUTjWQZZyktxMVnPRzsW/lulWc1GhjwWvFazhp8vQ3MWnqOE2dbewkHtWo8q2cNPfW490NOjqpTcORT7r24Nfdz+1PfyctD7rTZ9owJ+n+aQx/HjUBJjtpY8PL+c7OclKF/bF/7y50krPEwiwfVzhJ5OOVbp3TjOd2J13gbuvfYSdNSc87mgtOqukK6VL9jpOCePfV7zk+30cnRVrDWuf74aTp/XtbqdyCTH31DiLdrziD6MXAd7+GiiBa0PXNtbhMQVS95avV3XMHkUdd/p0iQfShe+MtbcsEkVo2nlQNovr6V5CpTy2C6HSJ2v8qdAoiNU1O9A4itSssMjSI3obyRnNsEPG32ZVrehCNUu3MgiDS/dSqIFLDtGhzEK1JxhNhbxA1UdvEY0EU8OHADo8LQRSvtgk3g2jrT97APAoitXz0eR1ErL/Np89BdOM2w4sPonGq7fwXRMUPZ3xZ3zuYYtT2yRFMimFVEUzTji46fjZTMPZ3wWZ/UiSY9P+WCaaOU2Y5NlYNJnvEjKi09YOJj8rRRS2CTZ3rFEz6fEHvYNL9xNBgeqK2+2ODaXazpLKJ04KpkiosC4KJ/+/Lp5XBZPr6YOKmNP7lnmCqXaHnlSbHgs2+8nywqZc3g6lvus5Vzj0KpmzBHdOUeh1Marn8/i2Ypjzkhv1PML5PCOl+JiSElv6PF8r0ITg+IXQ9vHakVSKEtvPXvV0phHI/zZhiVP0QeqG2SW1CaObKX3nf9Qih0qohHxpCalmrOjGEVpfniTU3hHQbvyqEPNTGbnsI7fnYd1/wkRBqx3/s4oUQCtpe8eWQuyE0n3dzWV+GEDdv365Gh9DA15fP93IPpfdp7y0LcoZSVrX8ZQgl3TcVCDWfu3IoPf0Xebdui1DS5wF6hZLq0uNHhZJuL+aEEivfMXddKB2O5MbsQCg51MbzfChN6cYQb4Wa/dvTUBrxu1iv6+9DSY1qq7hQ6qOg/QslfX7GN4y4GWwUGhpGz1/4ztmUPsx4zBVGatm7XjSMqhWeVLpV+TA6l7R7aEytMJKqADcLw/ENI49c+66s7RtG//vxzLPwiDCKP+pFlyaHUa+x+YY0nR9Gut1fHUbPqvHAb+PXD5okCh7i12fWF86Gmbpwk1+ftxufHvPr58vjOTwqjHjXLQNiw4hnjbU8KYzU9r6ATzhlUo1EcDjptj9dOKnpHpUjnNqOeFRycJFwelKBO+Ny4aT70ZrhdFNtT5uGU2V1QqBDuNkH9Ak3+4r/hZNaJgZNCqc8R7Kk9p0XTptH8wZ4ZTjF6dNQ4dRdFegD4RS1q+6immfCqTVvB15eDyddbiPDSW8b3oWjLwg3+7CEcPqzKfp2dfcIGjomd7X1PhFYXyNIn2ewIighNX/yDBFk+u8Ic3wKRNCgpaszHCoRQZn1Bj2C1g/gmVE9wnzv+hG0LitP+BYRlFEtMB0iSPexPSLoRR3ecQyMoFY5Es7NHhFBzz0Ly08TImg6H6ZKMyNIbUNXLoygqYfUBjaC/OZsGl17U4SZL7siyLcCCz0cYfqV0xFUNK04f+ByhDkOdyKoCLdTnR5H0AFup069jiB9nuQzf67sXIG+R5DaLnyOiyDdNyZEkOoGTvyNMPsNd4t0O53CQr226ARvd1qltkifbnFa1N0vS4P8YRap8rtcWGQpkOksitya2Kx7Jov06amsFk28sTM75bKoYvXrbTfks4hnzRL/whbNbaN2DBapbWRQEYvU9mEBpz7vV9SiSyeDfi3j1PWwmGX275y6/yhumT6JU/fnJSwKr8EdP+f6txGD85e0yJzHs+iUeplSFqnfPsr5uCzvgKRFnfV/WKZukUV7eFt8jVO1ZbVKW2Yfydn0V9SMBmUsej+jwepHnLqulrVIn8/inMk/blPOIn3eiXPLuBFJncpbVET9gHO+aisrWJRBTQjOF6+LVupf0aJS9XL+ieXUp1Er8Tip03ac+rxXZYv4Vdcmr2KRWxUeAc7p/DIpqvI4q9NinBsDVs/wq2ZRIfUfnGd4W+eobpm+nfNpD3UmgcdTDTgnj0KSq6ZF4wryX+A05ystUtvpjZzq02SvbdGROXxgOPV5szoWeX48/PQg5+xRWb8Xr2tRGtUQcur9TT0LfYBFaltfqb5F9QfWqXaFk0eVP7pFPdfn7n2LU79dQ4sm3/Ob/4BTnTxu0ojHU31QTqWiWWMeTz9uDDj1eb8mFul2m1PP56aWWXc4NaNmPJ76tDjPRwWrOY8nT6dfnPo8aAuLgtUX51SjNaqlZfqbVhapNn0Kpxpen9YW6dMdnO3VALWxzPkMTh7VayFtLdOvcC5Wp+/aWWTOV1ukfjtDe8ucF+DUfW4Hi/R5HM6PzCZ3R8vsOzl1/9LJMuc7OHXf2Nkifb6Ks1iS60bpLhbOR1ikp0lXy/R3nD3VC3ezSB2uW5xqltfrzuOpJhin+tRNelhYZ+C2J4+nOi/PqT9WL4s6qtNjnHHqZXpbpE/bc6ZWH7SPRea8rUVZFai+PJ7M7A+nvt7QzyI1O9z7W6RGYRynOQ9pkZqeUwbA+UA4Hwjng+Ccs4R+YTgfDOdD4HwInA+1SA3H5qFwPgzOh8H5/+D8f3A+HM6Hw/kIOB8B5yMtUrvri5yBekJYtJxZ3ODU0320RYc68V/grKDhWaSXUc7WauKMtegrT5OXnPrwj7NIHdaocXA+Hs459fBOgHNOPRwTLdLb+4lwPsmivgrKZDifDOdT4HwKnE+F86lwPg3Op8H5dDifDucz4HwGnM+E85lwPgvOZ8H5bMv0hZxt1bI8x8J5FYv0MjoXzjn1ed15lqlv8+B8Pq+bCsp8OF9gmX6Q871aBhbC+UI4XwTnnLaasIvhfDGcL4HzJXC+FM6XwvkyOOfU02Q5nC+H8xVwvtIyffpKOF8F56vgfDWcr4bzNXC+Bs7XwvlaOF8H5+vgfD2cr4fzDXC+Ac43wvlGON8E55vgfDOcb4bzLXC+Bc63wvlWON8G59vgfDucb4fzHXC+A853wvlOON8F57vgfDec74bzPXC+B873wvk+ON8H5/vhfD+cH4DzA3B+EM4PwvkhOD8E54fh/DCcH4HzI3B+FM6PwvkxOD8G58fh/Dicn4DzE3B+Es5PwvkpOD8F56fh/DScn4HzM3B+Fs7Pwvk5OD8H5+fh/DycX4DzC3B+Ec4vwvklOL8M55fh/AqcX4Hzq3B+Fc6vwfk1OL8O59fh/Aac34Dzm3B+E85vwfktOL8N57fh/A6c34Hzu3B+F87vwfk9OL8P55zLv204X/UBnHOq0yO1H1qmj+fU+8pHljnv+AjOI+E8Es4fw/ljOH8C50/g/CmcP4XzZ3D+DM6fw/kLOH8B5y/h/CWcv4LzV3D+Gs5fw/kbOH8D52/h/C2cv4Pzd3AeBedRcP4ezt/D+Qc4/wDnH+H8I5x/gvNPcP4Zzj/D+Rc4/wLnX+H8K5x/g/NvcP4dzr/DeTScR8N5DJzHwHksnMfCeRyc/4DzH3AeD+fxcP4Tzn/C+S84/wXnCXCeAOeJcM5ZRk2E33D+G87/wPkfOP8L53/hPAnOk+D8H5z/g3M3YZxzaufJhHHOqZ27C+OcUzv3EMY5p3aeXBjnnNq5pzDOObXzFMI459TOUwrjnFM79xLGOad27i2Mcx9hrntxHuP22sdXEHcrj6dxPizMjYGfoPY3prjN5dTX31MJGpnUKdNizlTzHxS2/QUtzskNDqc+jZda0L5mGXqu5ywTN2tU1gBB6q9v5WzOP84dKEht03dzqu13QYcw+3ZOvW93CrNv59T79iBhrp9x6n17sDD7ds5X6naNEGH27Zz6skuoMPt2Tr1vDxOkrlY+5dTn1cMF6cv7nHrfHiFIX8/k1PeJWILUx/7OOZo/Tl8hKDW/TTyn+uuDbUHZ+Md/OPW+3SWonPrAaQTp68ecLWvEH/VKK8y+nVO19f7pBKUM5hHh1Oct0gtSlw0Xcu54PC27lUFQCXXhiFO1dekyCmqoGivON9yGZckkSB2mzZxq+HNmFjSVh3Unp77ulUWQGob9nPq6xX+C1Mc+yqk+DmUV9ITf5gxnZ/7rFbIJcz6Fc2w9HtDswlwP5NSXQ3MIymGdmXSPU1+HycnzUk0MTn2fTC5hzldw6tsYcvO83NjkVxSnvl6Yh+clT4+vnOqw984raBcfzjhOfb01nzDXDTgbqwY2vzDXAwsIc/2MU9/PUVDQdP7YkzjVx/ErJEi9zQzOQmpCFhakfjyfU1+HLSLMdWNO058LUm3xas7x3O5mKibIqSYGp5rm2YsL9OeCjvC0zFtCkJpuezlNfy5IXy/nVIe9ZCmB/lygPxfozwWpYa1CAv25QH8u0J8L9OcC/blAfy7Qnwv05wL9uUB/LtCfC5zfFqTYxHCa/lyQmua/OE1/LtCfC1LTbVRlgf4czqvAeVU4rwrn1eC8GpxXh/PqcF4DzmvAeU04rwnnteC8FpzXhvPacF4HzuvAeV04rwvn9eC8HpzXh/P6cN4AzhvAeUM4bwjnjeC8EZw3hvPGcN4EzpvAeVOB/hzOm8F5MzhvDufN4bwFnLcU6M/hvBWcc5r+HM5bw3kbOG8D520F+nM4bwfn7eC8PZy3h/MOcN4BzjvCeUc47wTnneC8M5x3hvMucN4FzrvCOafpz+G8G5x3F+jP4bwHnHOa/lygPxfozwX6c4H+XKA/F+jPBfpzOO8r0J8L9OcC/blAfw7nAwT6c4H+XKA/F+jP4ZzT9OcC/blAfy7Qnwv05wL9uUB/LtCfw/n/BPpzgf4czofD+Qg45zT9Oer5SNTzUajno1DPR6Oej0Y9H4N6Pgb1fCzq+VjU83Go5+NQz8ejno9HPZ+Aej4B9Xwi6vlE1PNJqOeTBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+XKA/F+jPBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+XKA/F+jPBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+HM45TX8u0J8L9OcC/blAfy7Qn8P5CoH+XKA/h/NVAv25QH8u0J8L9Odwzmn6c4H+XKA/F+jPBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+XKA/F+jP4XyrQH8u0J/DOafpzwX6czjfAec74HwnnO+E811wvgvOd8M5p+nP4XwPnO+F831wzmn6czjfD+cH4PwAnB8U6M/h/BCcH4Lzw3B+GM6PwPkROD8K50fh/BicH4Pz43B+HM5PwPkJOD8J5yfh/BScn4Lz03B+Gs7PwPkZOD8L52fh/Bycn4Pz83B+Hs4vwPkFOL8I5xfh/BKcX4bzy3B+Bc6vwPlVOL8K59fg/BqcX4fz63B+A85vwPlNOL8J57fg/Bac34bz23B+B87vwPldOL8L5/fg/B6c34fz+3D+AM4fwPlDOH8I54/g/BGcR8J5JJw/hvPHcP4Ezp/A+VM4fwrnz+D8GZw/h/MXcP4Czl/C+Us4fwXnr+D8NZy/hvM3cP4Gzt/C+Vs4fwfn7+A8Cs6j4Pw9nL+H8w9w/gHOP8L5Rzj/BOef4PwznH+G8y9w/gXOv8L5Vzj/Buff4Pw7nH+H82g4j4bzGDiPgfNYOI+F8zg4/wHnP+A8Hs7j4fwnnP+E819w/gvOE+A8Ac4T4TwRzn/D+W84/wPnf+D8L5z/hfMkOE+C839w/g/O3Wz05zb6cxv9uY3+3EZ/bqM/t9Gf2+jPbfTnNvpzG/25jf7cRn9uoz+30Z/b6M9t9Oc2+nMb/bltnHNq5762cc6pr+/62ZRi1LyyUzi181S2cc6pnfvbxjmndp7aNs45tfMA2zjn1M4DbeOcUzt32MY5p3butI1zTu08yDbOObXzYBvX0W3jPMQ2zjnN/X+2cc6pnYfZxjmndh5uG+ec2nmEbZxzaueWbZxzaufCNs45tXPbNs45tXOXbZxzaudpbOM8rW2cc+rhTWcb55zaeXob9wnb5uNnsHEfoG2cZ7SNc07925ls45xTO89sG+ec2nkW2zjn1M7/s41zTu08q22cc2rn2WzjnFM7z27jvknbOM9hG+ec2nlO2zjn1M5z2cY5p3ae2zbOObXzPLZxzqmd57WNc07tPJ9tnHNq5/lt45xT339SwDbOC9rGOad2Xsg2zjnN9XMb189tXD+3cf3cNs6L2rh+buP6uY3r5zaun9vGOWezGad//FfCNve3cg5Uj4mUtM19hZyzvgyTBUvxeI77VPsg51bRpF1xaVNRdQM9p7l+zuP5et2SswTnpeG8NJyXgfMycF4WzsvCeTk4Lwfn5Xk81WMe5eG8Ao/n37uDPlSA84o2qdtFvnEuPZt2Z59KPJ7qi3Dq+0Mq21RO3SjBeSv944ThVXg81eMoVW1zH01VOK8G55xzwvgbV7fNfYuc6nAE1bBJPRWygFM/P1PTxn0qNqmvm7YWj2dJnwdrOJP442WubZv7MzjD1QDWsWk9/7GdnPnVr7o2nbq8qvx+zhrqdv16NvGn63KUUz2VJOvzeP7HX4RzzEn+gw1scx8kpz7f3tA291Ny6vPtjWxzvp1Tn29vbJvz7Zxf+bC1aMLjqSYWp7pNtl1THs+y/Ak5M6g3bsbjqW7T5FRfo1dzXjf548Vyqrcd0MI29+dy9lUfsKVt7vtsZZN+3IVT3/fR2qaN56sWnsSpn/tpw+vmD/4inPq5mLa8bmbkkebU97u243VTPQbAqaaVq71NDvWFOVdG8At24HWTD+8GTv08WkdeN/lwbOe8x8Oct5NNavj2cn7nYSncmddN9cQRp75/twuvm/zxTnJmUge4K6+b/HLnOfWDSd143bzKvzj1cz/dbVK3Q97m7K8mQg847wHnPeG8J5z3gvNecN4bznvDeR847wPnfeGc0/TncN4fzvvD+QA4HwDnA+F8IJwPgvNBcD4YzgfD+RA4HwLnQ+Gc0/TnNvpzG/25jf7cRn9uoz+30Z/b6M/hfCTq+Ug4HwXno+B8NK+bpXkGjobzMXA+Bs7HwvlYOB8H5+PgfDycj4fzCajnE+B8Iur5RNTzSajnk+F8MpxPgfMpcD4VzqfC+TQ4nwbn0+F8OpzPgPMZcD4TzmfC+Sw4nwXns+F8NpzPgfM5cD4XzufC+Tw4nwfn8+F8PpwvgPMFcL4QzhfC+SI4XwTni+F8MZwvgfMlcL4UzpfC+TI4Xwbny+F8OZyvgPOVcL4SzlfB+SrU89Wo56tRz9egnq9BPV+Ler4W9XwdnK+D8/Wo5+tRzzegnm9APd+Ier4R9XwTnG9CPd8M55vhfAvq+RY43wrnW+F8G5xvg/PtNu4vtkmVwWY7eH+k/iDn5ujb1dvstEndTvmW8xxPv067bNwHbpOaLj122+Y+as5EPrz99vD+SN3uvgf1fK9t7j/l1Per7rNJP4a7n/dH6jFbTv3c5QGb9OOHnDH8tgEHeTzVQsmp/ljIIds8F8KZRT3wcJjHUz2/xqmvqx2xzXNVR1DPj6KeH0U9P4Z6fgz1/Djq+XHU8xOo55wX+PCWPol6zqmW3YqneH+kDhynvk/yNJxz6ucxz/D+SD0+yqmfxzhrk3rbp5z6ftRzcM7ZQf06D+ecimW3C6jnF+D8Iur5RdTzS6jnl+D8MpxfgfMrcH4Vzq/C+TU4vwbn1+H8OpzfgPMbcH4Tzm/C+S04vwXnt+H8NpzfgfM7cH4Xzu9i334P+/Z72Lffx779PvbtD+D8AZw/hPOHcP4Izh/BeSScR8L5Yzh/DOdPeDyrqieKeDxfNy3f7alN6nGJb5z6ee5ncP4Mzp/zeD4cu+o3Z4tesXuGv7DpU8o255O9hPOXqOevUM9foZ6/Rj1/jXr+BvX8Der5Wzh/C+fvUM/foZ5HoZ5HoZ6/Rz1/j3r+Ac4/oJ5/hPOPcP4J9fwTnH+G889w/gXOv8D5Vzj/Cuff4PwbnH+H8+9wHg3n0XAeA+cxcB4L57FwHgfnnPp5hx9wHg/n8XD+E85/wvkvOP8F5wlwngDniTye6rHBRDj/Dee/4fwPnP+B879w/hfOk+A8Cc7/wfk/OHdzGeec2nkyl3HOae6HdhnnnPp+ag8X9at8esttTveXeY7XT+6iGYNW3HzIqZ17umgzf/tnnIUlz6QULtKPv3Lq59lTuoxzTtOfu4xzTu3c22Wcc2rnPi7j3NeF+99d6M9d6M9dxnkql3HOqZ37u4xzTu08tcs459TOA1zGOad2Hugyzjm1c4fLOOfUzp0u45xTOw9yGeecup4Hu0w959T1PMRl6jmnruehLuOcUzsPcxnnnNp5uMs459TOI1zGOad2brmMc07tXLiMc07t3HYZ55zm323g8VTTkNM8D+Qyzjm187Qu4zwdjycfvrGcKdQBS8/jeV09wO8i/c8NZODxVI/zcxafl1AgKKOL1L9KsIBTP9eciceT334Zp37ZzDyek9UDOi7znE4Wl3mOjlM/P/Yfj+eHJ5E7OE+O5C+QlcdT/QHOxzv+cxTN5jLPrXKqxxNkdh7PATzjOAPUF83homXr1AvxeKrHYnPyeN7NNec6p34uKhePp4cf/8hlnhPL7TLPV3IOVf8gRR4eT7W8caqv0y4vj6d6QJpzJ799l3wuKqk/mIv0v1+R32We2+N8O/7q6AEFXNTHpUbCZZwXdJnnpTkj1B8o5KKNavoXdlFB9eA9p9LiV8RFtdSB4NTP2Rd1URf1Qpy/vPkVirmMc059+Iq70J+70J+70J+70J+70J+70J+70J+70J+70J+7jHOCc4Lz0nBeGs7LwDmnrudlXaaec+p6Xs5l6nk5OC/vQn/uMvW8ggv9ucvU84pwzmn6czivBOeV4ZxzNX/tIVXgvCqcV4XzanBeDc6rw3l1OK8B5zXgvCacc+4dzjO4lovU9F/Bqf9dito8nnqi8HiqaViHx1MtaJzJ1bSpy+Opnpfn1Ie5nss8l8epD0t9F6nZc5xTP0fagMeT/+8sp/7nOhryeLZUE4/H8ycf2EYuUm9/k3OtetnGPJ76QVcXnnfl8VQTlFM/H96Ux1Oome4ixalDMzhvBufN4bw5nLeA8xZw3hLOW8J5KzhvDeet4bwNnLeB87Zw3hbO28F5OzhvD+ft4bwDnHP+H+5D4iw=</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>eJzt0TEOwjAMBdAejZEjMFZMTAghIVVi6cLOEXpUBsiQ34ZWsL63WEmdOLW7DgCAzcb97q/va3nj4ft+OZd5eV/m98fl/IxFf63rlHi5Lee3tOqMp/pdGadzvc53lPOz/27Vy7yoP7s3+136+OnLdK/Xw+Mdn0OjfmN+a33MuaWtcwAAAAAAAAAAAAAAAAAAgB+9AKUwPCA=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=174.041 Q3=88.000 sample=43 experiment=1 RT=4.25 ce=-30.00 name=N-acetyl-L-aspartic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0DEOgkAQBVCOZG+ztTWVLRcw0BkLjuAROQqJQ8PiRiBS8V7zk+FngKkqAAAgXNMn+lv6Oi/1i/PS843fc5hf+/N71JHvxzz7e9bLDE3MUxt5eU39Z+TQzfcs7rf2DlvvtbJf+q9/v2d3/+g9AAAAAAAAAAAAAAAAAMCZjRrOF08=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=174.057 Q3=130.066 sample=43 experiment=1 RT=1.74 ce=-15.00 name=Indole-3-acetic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0j1LAzEcx/G8EId7A+66neDSTQTBDnIiCA6CWnyiCB6oIDiIgyBO1aXg5OTgdJtdlYKOh/iEOLi7CPnlH0hRcPf7Wb7kkqZprs4B+N9Gc59qUnVNNVsK40b+8zp7bprp2NYNNn4utDOn1gvqxIY6Xaoju6EHYd2h2jtWn07UoTO1daHOXPmWU5XGpz3fquhrPP7gWw8/+mYvr76ztx++nXPVjX1qn683tf+s+fVa4/s7rbu+Ubv6XvfeTc9bHoV7WAu/f0u9bKnZSnoPNm/3ka+Gddth3aa63E73cYuq3Ws1n+4/OG/3bPu5vbDvTjrO9lV7H/Y529fOZ+e39/3b+7V7sHk7V7yfRnp+qyvS/eP/qkjPEfct0sbnAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADgL74BwiF0Kg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=174.088 Q3=131.000 sample=43 experiment=1 RT=3.98 ce=-30.00 name=Citrulline" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="276">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0jFKQ0EQBuCAF7D1LhbbegNTBMQulWAhBCyekMoqJ7C38wZJkQNoYWEnOYFHEN4wwg55WKX7vuZnd3Znl31vNgMAgBNr8xa5bH3hqh3PUs/9dd1f31Xkz305579+VV0/YXJ/qdecOi/ref/358jdS+TiLfJsP+Zw8TlmO3yNuWsfUZ9vIy9fIzebyGEdef3UZ5538xh5/tDP5zjrOZ/3zvFw16/P96/fpfbJeu77vu375Xjy/wAAAAAAAAAAAAAAAAAA4NR+ATkkP/Q=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=178.051 Q3=77.200 sample=43 experiment=1 RT=2.09 ce=-45.00 name=hippuric_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="260">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0TFOw0AQBVCfhXNQ5AApXFJQpEiROsoBXCCli1CUA5gGChTJR8ixKJEYryUPWRn695qvXc3setZNA0BV165+8vYU2a3m67zfbdL+2N9v7/eV7A/z/pKl71f/Lt27kNM85fw01/Qd21Rfm7fMeYz8OkW+9OP6PfJhiByukc+fkY8fkeu3yMs58nW/MF87zyzv5/nzf1mqz30lc331vdP71erzuTW1e/7aDwAAAAAAAAAAAAAAAAAAAP/0DTWcVAI=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=178.072 Q3=58.800 sample=43 experiment=1 RT=4.11 ce=-45.00 name=mannosamine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0rENgCAQBVBGo3AEayoHcXQrCk7PEEp9ryHA8YFAKQAA8BFnq2N/e+9P5y7mrNbVvU6tX71Pz5/N6+P1eJ6PeVlOtm+8b6yL87FN69qYl50z2/f27uF/AQAAAAAAAAAAAAAAAAD8wAVAyyCn</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=179.056 Q3=59.000 sample=43 experiment=1 RT=3.40 ce=-30.00 name=galactose__" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0csrRFEAx/FJ8ihFhFmIjYUshL9glGJpOQsLK1lYIKEsPCKliYkk8sprpkFZGI9sbLC5RA2xm1JSNhazU8j53bM4/wH1/Wy+nTnnnnvunEAAAADgD2udCJk+jYeccVu/mh5x29Gr1g+6tevt/OmkO7b710/5v4+p0XnVW1Z3t9XQvnqbcMeRmDqwqz5uqlk7amJDTc2p7Utq95r7nuC0+rbo77/inid7wX0uva7W7qlVh+r0mfp+aToauVaPPdW70XxFyvTi/tk0ffViGq3OqLPfpuHO7KbffmRyTE+31Z7mPNOhslzTeLLANPhQaFpzV2QanSk2TbWUmN69ql5tqWmmolz7RjX2ujQfvs/Xe8s/zTk2KnW+wLm+JxA5URuS6rD//X3+/dh7s/+/vR/br7ha599f45YaPnDXBf2+xdz1zf7z9j6OVt2xLQAAAAAAAAAAAAAAAAAAAAAAAAAAAPDP/AC9u4IZ</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=179.056 Q3=87.000 sample=43 experiment=1 RT=3.83 ce=-30.00 name=inositol" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="232">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0TEKwjAUBuCeyrk4Ojl3EtwKQsFBcOoiDl7F1b2bDi7exCMIpikkKnbW71t+3kvySNqiAADg77WzMsmorENdVln2/W4ZsmnSc3HOy/omreN6tw652PXrbbr/U8636fn8fvk9Yh33DXX9vp9n/p5Yj503vDebM3yffcjLKeT0+sx2cgu5Ood+dQx5P6TzPsn/67f+2HUAAAAAAAAAAAAAAAAAAH7eA7fcQLY=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=180.067 Q3=93.100 sample=43 experiment=1 RT=3.28 ce=-45.00 name=tyrosine_" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztz61uwlAYgOFeApeDrCALikyRyWFQmIWJCUQzNRLEDL4JCQqNrpsiWWZ2FXgkSb8d0SZdAql8HvPm/KT9TpYBAPSoeMj/Xd/7na7zvv53q77e1X5H13fTfjVt3XuJPr9HL0X0dRcdH+sWT1918/NP7J9/61aTWBenU+yXVXR/iA630dFn9HEV/V5G88XfHLPmfOW8uW43naf52/fT+7r2k7ROc6S+raPjTXTw0Zy7ay4AAAAAAAAAAAAAAAAAAKDhCn8MRDk=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=188.056 Q3=58.000 sample=43 experiment=1 RT=4.11 ce=-45.00 name=N-acetyl-L-glutamic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="76">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0KERADAMAzGPVtDBMnpGaGiuEntDJwAAwEjdM9pf/Tt/AAAAAAAAAAAAAAAAAACs0SAcBRU=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=188.071 Q3=144.081 sample=43 experiment=1 RT=1.31 ce=-15.00 name=3-Indolepropionic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0q9LQ1EchvFhEFGRBYPBcKNF/BdmWxxYBMtAhCWZTHGoyOacqDid+KMoTERswoJgdAiKmMQgCwuGgTY1OcQgnvd+w8FqEZ5PeTjn3Lt7zr2LRIB/KjYWU2fV3LSanPdbXlF399XXqvp27ZocaqofLdfEePvwT+PFLtf0V49r7lPjVqPDdbTU5lq9+3D3RR/fXYPKs2uus+FaG3nQ8+I3avelOnihXp2p0VP15FgNKur5QXjfodrcUzfC9m+rL0W1XlBTJbW37Le+o2a31MSa2rfp37e6HM7n1acJNZ32ez8Vrs+o9h2CjL9u1x9l1chcuI8lf972Y73N+9fZ+WwcLKr2nW3e/hcDBf95qZxfW7f923V2v41tf3YuO2dtwR8Hk/7v2brN/2rGr70vG9s+7f3Zd7FzVtdVe18AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB/6BuZjX4D</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=191.020 Q3=191.020 sample=43 experiment=1 RT=5.43 ce=-30.00 name=citric_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0iESwjAQhWFkj4BEcgRkJRKJRCI5QimlRHIEJBKJRCKRSGSPgGSGvCc2HsX/mZ00yWazzWgEAAAAAMCfOe3rb7zsclx1OdYpx3TIcdHn2Ozi+pvWPzU/b3Ncar7S/EnfZxpflTc1yrON868mnuc8Prfp47614tF5tnFfpfPGbVG38t3Vh7PyDl28h/vkPO827nedxy7muadY37Po3+oQx47uj++Xivp9v/J/uC73cdA+93+iuqbq73sf7/sqvvv+nvf/dfR72eie7qv7+dC6scb+P9Pi/bjeujjX78PrF8U78708dr8BAAAAAAAAAAAAAAAAAAAAAAAA4Ac+kCh0/g==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=193.035 Q3=58.900 sample=43 experiment=1 RT=4.08 ce=-45.00 name=glucuronic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="196">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0DEOwjAMAMA+gSdlYmZh79KJBYmFkafxNIbWkWJqwYq4W6w4sWVnmgAA4Fcc2xDnuQ3Xcc75XNdjcf88r/F03e+f6+L9W34Z54l+h9tY97ivsV2KfnnO6rwp64t3MWfoe+Z/Sft8mq/P8eW/V/uUfas+8W7Zz1d9y70AAAAAAAAAAAAAAAAAAP7XCyaYKbM=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=199.170 Q3=199.170 sample=43 experiment=1 RT=0.59 ce=-10.00 name=C12:0_lauric_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="260">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0DFKg0EQgNGNF1Bv8BdqJSTkBL83sNTYSE4Qb2BrI8FG7AK2gjmClXXKlIKCQqISkATRoDhzAxst3ms+ZmGXYUuB/6XuP9bRk+ygM4m29mbRsvUWrdqL6NrDMjo8+oqOV8vOTw83cy7n2Va3EefVac5PGzmPrrK9yzwfXuf93e2PmPv7+X59+xkdrbxHj8/m0d597lEd5F43F7nnYPoSvVt/zjZf6198BwAAAAAAAAAAAAAAAAAAAAD8mW+UUDYG</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=203.083 Q3=116.100 sample=43 experiment=1 RT=2.67 ce=-45.00 name=tryptophan" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="360">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0j9LAzEYgPGbVJwEb/ALiGsFP0Ac/AKCm0MWQRxKKQjSqUOHKt36BZx1udZBcPGgODh3LW0R3dxcLRTfNzlIrqWuhee3PCRpc7k/SQIAwJqyF0ZqzszC9eaJCRrPJzac9/vE68X+Nmxp/+j38bpvfmWC8ye1xeNV+xWWncfJ6jreamu3H7W3b9Lp54eOO7/S7DU9/uvp3YE0nRxK+6OKtDrel+497EptPpP/2e8vaX45dPfzrv0ZaKcv2qNn7eaTtpdpN+61met515275eYbJrifnRt3nWtt6bn+k39ey76jmN/ft/Q9+Ubv0Z8PAAAAAAAAAAAAAAAAAAAAAAAAAAAAANbIHKSmUq8=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=207.078 Q3=144.000 sample=43 experiment=1 RT=2.60 ce=-30.00 name=kynurenine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="280">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0TFqwlAcwOHcQfACXsAjuAgdXbq7uHUSXLo0VhQ6SNdSOgSXToVCL9CtdevcrZ6gg4hjIf/nYGgQdBK+b/mR915e8pIsA4Az17nsnDRfJ+/+f9+h8WOfl/UP7DuIXsyjjy/Ru8+yeWNVtn21Lvv6vS371Yzr99ZPrF9+REdvab/n6GYRfXqIFrPo731aN00dp/nbNH8T3U6ivdF+i+v99991d97q+YphZbz6Pfs140nd/znV0f8VAAAAAAAAAAAAAAAAAADgfP0Bx/w2mA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=209.030 Q3=85.000 sample=43 experiment=1 RT=5.42 ce=-15.00 name=galactaric_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0aERwzAMBdCM0QnMQ4wC1P2XKugJ5F99SUFR3yM6y44kO9sGAAAA/2Kvdxx1zvd61r1z6VHnOOq7fNbJ9fNinqx33Ozf98x62X/U5/3Ve3Td1Vw5X86V/VZxj5jvl3Vb9sl8fj8jZt3cX/XvOft/HrGei/OZz/cDAAAAAAAAAAAAAAAA+J0X1pwdig==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=212.002 Q3=79.900 sample=43 experiment=1 RT=1.12 ce=-45.00 name=3-indoxyl_sulfate" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="524">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="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=43 experiment=1 RT=2.85 ce=-15.00 name=pantothenic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztz6EKwlAUBuA9lnFFEMFo9w18hSH4CPZNwWyxC/oEFgXLsAlms7AzwyZiMUz4vvLzcy6Xc5IEAPiJrJ926p+u+nZfe15Oow/mdS4ih+vIYl/lbnWN3rtHv12il+fo21P00bHKLD9EX24iH0VkPksbe6Tjep9J2tjnNX979+GO9hwAAAAAAAAAAAAAAAAAAOAPPAHs9Sbj</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=219.078 Q3=144.000 sample=43 experiment=1 RT=3.37 ce=-30.00 name=5-hydroxy-L-tryptophan" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt3GVgFbsWBeDSUqhR2nPqkzk4XNxdsnF3d3d3fbi7u7u7u7s7xbU4VCi0QHk7yeLPurfAkUy+7OwRSuV2r7X7dBU56vmi19+im8ntD1sOqOnqIJeciklcf6a7LHfvtByxt488XNnPPfuEATLv8fpn7zceIjfkWzF+dI7hkppM6jBl1mjZ5Wi/OWHJx8t5rlYn1w2YhNebKu+vLDOxVL6Z8nPtg65xn2bhdebLrI6iXfq4lshCW0o1bLprhTy+9PPgwJGrZZ5q630qZFonOyY6QrsP3SgfxaZ3y5R9q1xSf8WWbQ93yGr6hXfJyw2/Ne8Vu0feeel/qkWN/XJf4V+n220+KI+fCs1c1/OIbBc98af3tGNyXMD/2rXyOSmzDG2RfGW7U/LSW7n2+fHTsmutdOXShJ+VqY64v2nR95zckenNmOXXzsvaM89leJbloozlb2+PviTntZ/YtvmTy7Lwzc4eywpdlY+KVV3zZOY1OWRdjrLi03Xp7zUhelv6m7LlsYGnrt24KXf26TTry7Bb0nff+sEXst6WzbosqBx1/7bclmZieMqxd2T+/02asr/kXXm248PgtD/vynp1sqyctPOefFtiQLbYzvdl18UDl67O8ED+GXs+s9/TB3L0qwsLj8x/KJ3XQjJkqvVIrjnQftt070hZYPVe/saR8vC/fZs2DHssq35MXiCw0BP5+G7d40O+PZFdT6yu9GbjUxkj1h6e0+aZHJ0yttxf67l0xpS+0eHec1mnx8UcnSq+kJnV1978Qo5I20EE+L+UD5tVWlyn90uZd1G2sHl3X0rP1O8mJRZ+JVtUvZiy5JJX8sCEzeNGJL2SAWenepxu/Vp2dus5Kvm51/LSgOMrInK/kdv3FLicatEbOfv75jg3j7cypoM6kG/lgzW9Svo8eCsLR5xsmrb0OykaFhrv3PJOJpu7dWeK4CjZyufPdTEiSpav2Cch9YcomW3s+wwedd/LyYmFy4Qfey97Ft7ezS/LB3lj29/J6Wd9kAVbqJn0US71H+gV3+ej9DiR/8Lz1x9l557fx12q90neTLOt3J5zn3DcPstlIzOfHr/hs0ye9/XIXmFf5LuIwXwovshqVwryR/wi9wyN2Vmr61cZ+uj6z7qvv8ohemJ+kx14tF1Xv8lO6bsNGpLpu7S/Bnx+2+67HJPDFV1q1XdZKfutbnlvf5f68Cd+l482Xd2wKm20bNTieb+DZaNlxADPi8c6RMsm7Yo/rzktWkbZG95X2h4t8/b717XujWiZTk+YaBnIr3rDN0Ym+69x61TZYqSaNcPLx8h+6kC2i5G1pi3o4RgTI3Ps6FnsyaoY6XWrYor1J2Nklgb5+a1ipMcg34z/JcXIF4qdiJVHj/Cv4rFy4dM5E8Y1iZXq7WoOjsVxjMW4xsozd7K3D38VK/9uVRM0Tg7+kDmvV444uft0RD2v2nHy8xIe4AFxMlN/98VeS+Lkql3eZX+eiJOPJ/9t//NNnAzS0H5Icrbml/ohu52++XdH9R+ygX/O3ct6/pCL+vX40nDuD/k0csd/jkM/ZNrS0W2vPv0Bp/GyaZlS7x/liJfzqPkBq2G8nPq4E8+oeHnu0YQbO7fEy38P1i+PuRcvi94/172A20/Z5+4blvJTLjzY6XHZ+j/lrf1qQv403jb9lOX3nKvkffenHL7rTWjVpJ/y4A6PqKn//ZI7qqTO86LOL9nq7c30jwf/koEjZwffX/lLnuGveevCL5m3jnv/p19/Scb48kNwgqydUb1Tgtx0afDneh0SZA76WjB0doLsVrdmwsdjCXJrh51Hj39IkGFV1TslylJqHS2TKNs6x38d0T1R7r3IIBYnSs/hHaefuJAo9WGKS5Qfqzbb+yXdb1k8WfWxqWr+llP3l6yXc9hv+bRrrozVN/2WOdOliet2/7c8VTRDlaEef6TjmzNiSZ4/su3a5B8PN/8j9zb+cShy8h/j8sAf2YBX44i3f+QGXm2KOf7Kwj/m7nhW/K+80KtNwTHt/8qGn3MfyTLjr4xso17gr2z2KKzG1nd/Zfo9K+3mjiSpeZdJknLY+ObJ+iRhfiXJZuW7LVt3Kwmf45+8U71NQKOi/2SWc3ubZej5T+plc9U/OWtN5qhdd/7Buxs9O7g779IwNyq3c8GckrndKGWx7ivvVHCjy2fKbOvcwo2mVQ87/K+/G9V68OX8vGludKP05uJZ17uRXs2Pu1G2Tc6b5R660asP83b7RbtRsSfpHl7xTkZ6HUufjDY1z7ysafFkVGr5mHoD6ySjPL15BnRJRvpwjk5GN1jvuiXJaNiWidv27E1GanXefz0ZzS58Z8HB98kobv/We3mTuZNe/sPcyTfyVibv3O7UsRyvHOXd6cx2t0MPmrlTsUr9s5zr5066LkxzpzG1Ky8bud6dfuU6mND4hDtl/ZLqeJ5H7nT9RuKohdHulHvO9W1/fTwozeaQpIQMHvQq/2efmcU9aN0xNdE96MK8aS/PdvGgyWnafm0y2oO81X8s9qCJcY8fjNrjQSlbLqwWfNWDyqjheOtBLl4mcv3zoMQ18zrtD0tOBb8VKV8xX3LS60TV5OQV1mtT8w7JaeUPD17RktOjsat+t1ySnHrzYX+7Lzl50yWfrjeTU7+ZH2tM/pDcjI+7J+WqUGXldsuTuAj6L83vSUezlTw5sqonLWv6O7h8G09KU4pHYLAn6WV9hie+tyd5cnUpccyT3rW7McXtrid1qrgg49GPnlR5UP0hI5OloCtNbGeJsBS05ca9Bp9zp6BsxWZfGVEpBXmpstM6Bb3hVWntkBR08vPyEjnmpqClHxjCthQUvtCdV+4UpKbtkRcpqPeEVrmz/E5Bt6sUaDo1KCXlVwU2Z0q9OhSqkJLUbw9tkZJ2q2VoQEo6NWbw6qRpKTGPUlL7Uqk8Gx9NScvUduJ2Srq7+B2vuCnJr3LdbNeTUhL/rUI/grzI7Cu8qP6pjWtrkBf1/VOSZ5QX5c354OKSzl40KzVXgOFe9D1aTTwv+naJJ/AmL8qn3vC4F91NoSa2Fx3u6p2wMsrLfL9EL9rW+Vnvyf7exMXTu1N6b9J1vrA39VITuao3Wale5JzZypu6VI+dXrefNx2aluJ7yERvUsvu1qXedCxn1/7VdnrTrALrXn0+400pN31du/C+N6VRX/CDN2nfv72ppvV+7yh/Hzo3I+/AnOl86Om+scNu5vehHzyd+lbwoeqbivz+3tiHvuT78CSypw/lUbDG+tDiReqXD71tvep+gR34+VkfGqbKX6SP8fDNh/T+z8OX9LYj1Jdene2S4kp2X1r04lSJ2tKXav0J6/ugji+Z9dGXzLrqS4eYf6NpvtTr+sTbz1b60gyuns59vvT108miGS77kjp6yV/4kl6mf/hSuPrCfn5w42eOXwk/8k2XePFkPT/yr/O0ct7ufhS/QBUyPyqZg4/oMj9SszPvAT86/0R9cT/SdeSzHxXgXUBRr1SUSm0UM6Qi9bESSqUivW1tkooWRLa/fah/KjrTbnOrerNTUY2Sb7f83J6KhvDyOftKKuJN4riC71ORVU9VWH/ioyKaZPQnvX8r50/XWg3+353W/vR1VZeXK0b4U8CK1g1HLvWnfEsbXWt1yJ/qLapZtvR9fxowv8KhdLH+VFRvaFLTkWrFDsRnT00+aiNUJTWFqY1bx9Sk90/jUpv5sjo1fcyqdpKp6djxD70mvEhNM+r2y7jgX2rKFRlfa19AAJ3dlavHmnQBlL3NpxzT8gXQbMfGTwPKBlAjtYDWDaDhv/yOuLcLoH6RtCFVvwDS+/KxAaS3tXMD6N2dWjPPrQkgve3ZHUCjeoU9z3Y6gPR251YA8ajUyfIigE5e6Dvz49cASq4K+d8Aqvxm46XBfoE0rU/ZDqWtQLrt9szdO1sgqVnasUgg1VcvXD6QdLtQJ5DWdE9d37dlIKly37xrIKnd0M6BgWYcxwaS2kU3nhlIg9RGemkgra/NG9KNgXTnv8LtQvYGkpv6dTKQFMcPVwKpyfZZhe884PdT2+5XgWT2TYGUfUII79gCqX3bIrsWJ3OQ2uYk+DgoYWXHPR+dDoq9NzT0iXAQr8ZDr2VyUEj59BWr53IQF7O9Fws5yFc1AtJBvGr+qF7RQa2WDLncsKaDmk6dS80bOoibkxOfWziIV49Swzo4KO3tni1T9nCQWDX12fz+DuqlCtJQB8U95I3fKAep3ejuCQ66EnDh8MFpDqqpNkZzHLSGd+OXFjko86A8Ne+ucBAvmgsi1zkoaUd1noEOqqPao10OuhfVJXv8AQc1Dj1wy+24w4zXWQdNuDp6QL9LDnLXX5h/zrvmMnf586lt9CP++VFPR9BzB20tzR3PG/75heSp331wkN5mfOOf3/bwOxjnoAaNxvikS+Sf8+Gb/M9BW9pyZ5DcSa1VI+LtJFX2a/s76Xez7ueSHE7aqT5eqJMCm3bsPNdyUtnSITMGpXFSf70RcNKDAlyYsjjJ21reImt2J+l9TW4ndY/6vSk6n5NWXNt8414hJ7mpxqSY06yfpZzUTjWQZZyktxMVnPRzsW/lulWc1GhjwWvFazhp8vQ3MWnqOE2dbewkHtWo8q2cNPfW490NOjqpTcORT7r24Nfdz+1PfyctD7rTZ9owJ+n+aQx/HjUBJjtpY8PL+c7OclKF/bF/7y50krPEwiwfVzhJ5OOVbp3TjOd2J13gbuvfYSdNSc87mgtOqukK6VL9jpOCePfV7zk+30cnRVrDWuf74aTp/XtbqdyCTH31DiLdrziD6MXAd7+GiiBa0PXNtbhMQVS95avV3XMHkUdd/p0iQfShe+MtbcsEkVo2nlQNovr6V5CpTy2C6HSJ2v8qdAoiNU1O9A4itSssMjSI3obyRnNsEPG32ZVrehCNUu3MgiDS/dSqIFLDtGhzEK1JxhNhbxA1UdvEY0EU8OHADo8LQRSvtgk3g2jrT97APAoitXz0eR1ErL/Np89BdOM2w4sPonGq7fwXRMUPZ3xZ3zuYYtT2yRFMimFVEUzTji46fjZTMPZ3wWZ/UiSY9P+WCaaOU2Y5NlYNJnvEjKi09YOJj8rRRS2CTZ3rFEz6fEHvYNL9xNBgeqK2+2ODaXazpLKJ04KpkiosC4KJ/+/Lp5XBZPr6YOKmNP7lnmCqXaHnlSbHgs2+8nywqZc3g6lvus5Vzj0KpmzBHdOUeh1Marn8/i2Ypjzkhv1PML5PCOl+JiSElv6PF8r0ITg+IXQ9vHakVSKEtvPXvV0phHI/zZhiVP0QeqG2SW1CaObKX3nf9Qih0qohHxpCalmrOjGEVpfniTU3hHQbvyqEPNTGbnsI7fnYd1/wkRBqx3/s4oUQCtpe8eWQuyE0n3dzWV+GEDdv365Gh9DA15fP93IPpfdp7y0LcoZSVrX8ZQgl3TcVCDWfu3IoPf0Xebdui1DS5wF6hZLq0uNHhZJuL+aEEivfMXddKB2O5MbsQCg51MbzfChN6cYQb4Wa/dvTUBrxu1iv6+9DSY1qq7hQ6qOg/QslfX7GN4y4GWwUGhpGz1/4ztmUPsx4zBVGatm7XjSMqhWeVLpV+TA6l7R7aEytMJKqADcLw/ENI49c+66s7RtG//vxzLPwiDCKP+pFlyaHUa+x+YY0nR9Gut1fHUbPqvHAb+PXD5okCh7i12fWF86Gmbpwk1+ftxufHvPr58vjOTwqjHjXLQNiw4hnjbU8KYzU9r6ATzhlUo1EcDjptj9dOKnpHpUjnNqOeFRycJFwelKBO+Ny4aT70ZrhdFNtT5uGU2V1QqBDuNkH9Ak3+4r/hZNaJgZNCqc8R7Kk9p0XTptH8wZ4ZTjF6dNQ4dRdFegD4RS1q+6immfCqTVvB15eDyddbiPDSW8b3oWjLwg3+7CEcPqzKfp2dfcIGjomd7X1PhFYXyNIn2ewIighNX/yDBFk+u8Ic3wKRNCgpaszHCoRQZn1Bj2C1g/gmVE9wnzv+hG0LitP+BYRlFEtMB0iSPexPSLoRR3ecQyMoFY5Es7NHhFBzz0Ly08TImg6H6ZKMyNIbUNXLoygqYfUBjaC/OZsGl17U4SZL7siyLcCCz0cYfqV0xFUNK04f+ByhDkOdyKoCLdTnR5H0AFup069jiB9nuQzf67sXIG+R5DaLnyOiyDdNyZEkOoGTvyNMPsNd4t0O53CQr226ARvd1qltkifbnFa1N0vS4P8YRap8rtcWGQpkOksitya2Kx7Jov06amsFk28sTM75bKoYvXrbTfks4hnzRL/whbNbaN2DBapbWRQEYvU9mEBpz7vV9SiSyeDfi3j1PWwmGX275y6/yhumT6JU/fnJSwKr8EdP+f6txGD85e0yJzHs+iUeplSFqnfPsr5uCzvgKRFnfV/WKZukUV7eFt8jVO1ZbVKW2Yfydn0V9SMBmUsej+jwepHnLqulrVIn8/inMk/blPOIn3eiXPLuBFJncpbVET9gHO+aisrWJRBTQjOF6+LVupf0aJS9XL+ieXUp1Er8Tip03ac+rxXZYv4Vdcmr2KRWxUeAc7p/DIpqvI4q9NinBsDVs/wq2ZRIfUfnGd4W+eobpm+nfNpD3UmgcdTDTgnj0KSq6ZF4wryX+A05ystUtvpjZzq02SvbdGROXxgOPV5szoWeX48/PQg5+xRWb8Xr2tRGtUQcur9TT0LfYBFaltfqb5F9QfWqXaFk0eVP7pFPdfn7n2LU79dQ4sm3/Ob/4BTnTxu0ojHU31QTqWiWWMeTz9uDDj1eb8mFul2m1PP56aWWXc4NaNmPJ76tDjPRwWrOY8nT6dfnPo8aAuLgtUX51SjNaqlZfqbVhapNn0Kpxpen9YW6dMdnO3VALWxzPkMTh7VayFtLdOvcC5Wp+/aWWTOV1ukfjtDe8ucF+DUfW4Hi/R5HM6PzCZ3R8vsOzl1/9LJMuc7OHXf2Nkifb6Ks1iS60bpLhbOR1ikp0lXy/R3nD3VC3ezSB2uW5xqltfrzuOpJhin+tRNelhYZ+C2J4+nOi/PqT9WL4s6qtNjnHHqZXpbpE/bc6ZWH7SPRea8rUVZFai+PJ7M7A+nvt7QzyI1O9z7W6RGYRynOQ9pkZqeUwbA+UA4Hwjng+Ccs4R+YTgfDOdD4HwInA+1SA3H5qFwPgzOh8H5/+D8f3A+HM6Hw/kIOB8B5yMtUrvri5yBekJYtJxZ3ODU0320RYc68V/grKDhWaSXUc7WauKMtegrT5OXnPrwj7NIHdaocXA+Hs459fBOgHNOPRwTLdLb+4lwPsmivgrKZDifDOdT4HwKnE+F86lwPg3Op8H5dDifDucz4HwGnM+E85lwPgvOZ8H5bMv0hZxt1bI8x8J5FYv0MjoXzjn1ed15lqlv8+B8Pq+bCsp8OF9gmX6Q871aBhbC+UI4XwTnnLaasIvhfDGcL4HzJXC+FM6XwvkyOOfU02Q5nC+H8xVwvtIyffpKOF8F56vgfDWcr4bzNXC+Bs7XwvlaOF8H5+vgfD2cr4fzDXC+Ac43wvlGON8E55vgfDOcb4bzLXC+Bc63wvlWON8G59vgfDucb4fzHXC+A853wvlOON8F57vgfDec74bzPXC+B873wvk+ON8H5/vhfD+cH4DzA3B+EM4PwvkhOD8E54fh/DCcH4HzI3B+FM6PwvkxOD8G58fh/Dicn4DzE3B+Es5PwvkpOD8F56fh/DScn4HzM3B+Fs7Pwvk5OD8H5+fh/DycX4DzC3B+Ec4vwvklOL8M55fh/AqcX4Hzq3B+Fc6vwfk1OL8O59fh/Aac34Dzm3B+E85vwfktOL8N57fh/A6c34Hzu3B+F87vwfk9OL8P55zLv204X/UBnHOq0yO1H1qmj+fU+8pHljnv+AjOI+E8Es4fw/ljOH8C50/g/CmcP4XzZ3D+DM6fw/kLOH8B5y/h/CWcv4LzV3D+Gs5fw/kbOH8D52/h/C2cv4Pzd3AeBedRcP4ezt/D+Qc4/wDnH+H8I5x/gvNPcP4Zzj/D+Rc4/wLnX+H8K5x/g/NvcP4dzr/DeTScR8N5DJzHwHksnMfCeRyc/4DzH3AeD+fxcP4Tzn/C+S84/wXnCXCeAOeJcM5ZRk2E33D+G87/wPkfOP8L53/hPAnOk+D8H5z/g3M3YZxzaufJhHHOqZ27C+OcUzv3EMY5p3aeXBjnnNq5pzDOObXzFMI459TOUwrjnFM79xLGOad27i2Mcx9hrntxHuP22sdXEHcrj6dxPizMjYGfoPY3prjN5dTX31MJGpnUKdNizlTzHxS2/QUtzskNDqc+jZda0L5mGXqu5ywTN2tU1gBB6q9v5WzOP84dKEht03dzqu13QYcw+3ZOvW93CrNv59T79iBhrp9x6n17sDD7ds5X6naNEGH27Zz6skuoMPt2Tr1vDxOkrlY+5dTn1cMF6cv7nHrfHiFIX8/k1PeJWILUx/7OOZo/Tl8hKDW/TTyn+uuDbUHZ+Md/OPW+3SWonPrAaQTp68ecLWvEH/VKK8y+nVO19f7pBKUM5hHh1Oct0gtSlw0Xcu54PC27lUFQCXXhiFO1dekyCmqoGivON9yGZckkSB2mzZxq+HNmFjSVh3Unp77ulUWQGob9nPq6xX+C1Mc+yqk+DmUV9ITf5gxnZ/7rFbIJcz6Fc2w9HtDswlwP5NSXQ3MIymGdmXSPU1+HycnzUk0MTn2fTC5hzldw6tsYcvO83NjkVxSnvl6Yh+clT4+vnOqw984raBcfzjhOfb01nzDXDTgbqwY2vzDXAwsIc/2MU9/PUVDQdP7YkzjVx/ErJEi9zQzOQmpCFhakfjyfU1+HLSLMdWNO058LUm3xas7x3O5mKibIqSYGp5rm2YsL9OeCjvC0zFtCkJpuezlNfy5IXy/nVIe9ZCmB/lygPxfozwWpYa1CAv25QH8u0J8L9OcC/blAfy7Qnwv05wL9uUB/LtCfC5zfFqTYxHCa/lyQmua/OE1/LtCfC1LTbVRlgf4czqvAeVU4rwrn1eC8GpxXh/PqcF4DzmvAeU04rwnnteC8FpzXhvPacF4HzuvAeV04rwvn9eC8HpzXh/P6cN4AzhvAeUM4bwjnjeC8EZw3hvPGcN4EzpvAeVOB/hzOm8F5MzhvDufN4bwFnLcU6M/hvBWcc5r+HM5bw3kbOG8D520F+nM4bwfn7eC8PZy3h/MOcN4BzjvCeUc47wTnneC8M5x3hvMucN4FzrvCOafpz+G8G5x3F+jP4bwHnHOa/lygPxfozwX6c4H+XKA/F+jPBfpzOO8r0J8L9OcC/blAfw7nAwT6c4H+XKA/F+jP4ZzT9OcC/blAfy7Qnwv05wL9uUB/LtCfw/n/BPpzgf4czofD+Qg45zT9Oer5SNTzUajno1DPR6Oej0Y9H4N6Pgb1fCzq+VjU83Go5+NQz8ejno9HPZ+Aej4B9Xwi6vlE1PNJqOeTBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+XKA/F+jPBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+XKA/F+jPBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+HM45TX8u0J8L9OcC/blAfy7Qn8P5CoH+XKA/h/NVAv25QH8u0J8L9Odwzmn6c4H+XKA/F+jPBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+XKA/F+jP4XyrQH8u0J/DOafpzwX6czjfAec74HwnnO+E811wvgvOd8M5p+nP4XwPnO+F831wzmn6czjfD+cH4PwAnB8U6M/h/BCcH4Lzw3B+GM6PwPkROD8K50fh/BicH4Pz43B+HM5PwPkJOD8J5yfh/BScn4Lz03B+Gs7PwPkZOD8L52fh/Bycn4Pz83B+Hs4vwPkFOL8I5xfh/BKcX4bzy3B+Bc6vwPlVOL8K59fg/BqcX4fz63B+A85vwPlNOL8J57fg/Bac34bz23B+B87vwPldOL8L5/fg/B6c34fz+3D+AM4fwPlDOH8I54/g/BGcR8J5JJw/hvPHcP4Ezp/A+VM4fwrnz+D8GZw/h/MXcP4Czl/C+Us4fwXnr+D8NZy/hvM3cP4Gzt/C+Vs4fwfn7+A8Cs6j4Pw9nL+H8w9w/gHOP8L5Rzj/BOef4PwznH+G8y9w/gXOv8L5Vzj/Buff4Pw7nH+H82g4j4bzGDiPgfNYOI+F8zg4/wHnP+A8Hs7j4fwnnP+E819w/gvOE+A8Ac4T4TwRzn/D+W84/wPnf+D8L5z/hfMkOE+C839w/g/O3Wz05zb6cxv9uY3+3EZ/bqM/t9Gf2+jPbfTnNvpzG/25jf7cRn9uoz+30Z/b6M9t9Oc2+nMb/bltnHNq5762cc6pr+/62ZRi1LyyUzi181S2cc6pnfvbxjmndp7aNs45tfMA2zjn1M4DbeOcUzt32MY5p3butI1zTu08yDbOObXzYBvX0W3jPMQ2zjnN/X+2cc6pnYfZxjmndh5uG+ec2nmEbZxzaueWbZxzaufCNs45tXPbNs45tXOXbZxzaudpbOM8rW2cc+rhTWcb55zaeXob9wnb5uNnsHEfoG2cZ7SNc07925ls45xTO89sG+ec2nkW2zjn1M7/s41zTu08q22cc2rn2WzjnFM7z27jvknbOM9hG+ec2nlO2zjn1M5z2cY5p3ae2zbOObXzPLZxzqmd57WNc07tPJ9tnHNq5/lt45xT339SwDbOC9rGOad2Xsg2zjnN9XMb189tXD+3cf3cNs6L2rh+buP6uY3r5zaun9vGOWezGad//FfCNve3cg5Uj4mUtM19hZyzvgyTBUvxeI77VPsg51bRpF1xaVNRdQM9p7l+zuP5et2SswTnpeG8NJyXgfMycF4WzsvCeTk4Lwfn5Xk81WMe5eG8Ao/n37uDPlSA84o2qdtFvnEuPZt2Z59KPJ7qi3Dq+0Mq21RO3SjBeSv944ThVXg81eMoVW1zH01VOK8G55xzwvgbV7fNfYuc6nAE1bBJPRWygFM/P1PTxn0qNqmvm7YWj2dJnwdrOJP442WubZv7MzjD1QDWsWk9/7GdnPnVr7o2nbq8qvx+zhrqdv16NvGn63KUUz2VJOvzeP7HX4RzzEn+gw1scx8kpz7f3tA291Ny6vPtjWxzvp1Tn29vbJvz7Zxf+bC1aMLjqSYWp7pNtl1THs+y/Ak5M6g3bsbjqW7T5FRfo1dzXjf548Vyqrcd0MI29+dy9lUfsKVt7vtsZZN+3IVT3/fR2qaN56sWnsSpn/tpw+vmD/4inPq5mLa8bmbkkebU97u243VTPQbAqaaVq71NDvWFOVdG8At24HWTD+8GTv08WkdeN/lwbOe8x8Oct5NNavj2cn7nYSncmddN9cQRp75/twuvm/zxTnJmUge4K6+b/HLnOfWDSd143bzKvzj1cz/dbVK3Q97m7K8mQg847wHnPeG8J5z3gvNecN4bznvDeR847wPnfeGc0/TncN4fzvvD+QA4HwDnA+F8IJwPgvNBcD4YzgfD+RA4HwLnQ+Gc0/TnNvpzG/25jf7cRn9uoz+30Z/b6M/hfCTq+Ug4HwXno+B8NK+bpXkGjobzMXA+Bs7HwvlYOB8H5+PgfDycj4fzCajnE+B8Iur5RNTzSajnk+F8MpxPgfMpcD4VzqfC+TQ4nwbn0+F8OpzPgPMZcD4TzmfC+Sw4nwXns+F8NpzPgfM5cD4XzufC+Tw4nwfn8+F8PpwvgPMFcL4QzhfC+SI4XwTni+F8MZwvgfMlcL4UzpfC+TI4Xwbny+F8OZyvgPOVcL4SzlfB+SrU89Wo56tRz9egnq9BPV+Ler4W9XwdnK+D8/Wo5+tRzzegnm9APd+Ier4R9XwTnG9CPd8M55vhfAvq+RY43wrnW+F8G5xvg/PtNu4vtkmVwWY7eH+k/iDn5ujb1dvstEndTvmW8xxPv067bNwHbpOaLj122+Y+as5EPrz99vD+SN3uvgf1fK9t7j/l1Per7rNJP4a7n/dH6jFbTv3c5QGb9OOHnDH8tgEHeTzVQsmp/ljIIds8F8KZRT3wcJjHUz2/xqmvqx2xzXNVR1DPj6KeH0U9P4Z6fgz1/Djq+XHU8xOo55wX+PCWPol6zqmW3YqneH+kDhynvk/yNJxz6ucxz/D+SD0+yqmfxzhrk3rbp5z6ftRzcM7ZQf06D+ecimW3C6jnF+D8Iur5RdTzS6jnl+D8MpxfgfMrcH4Vzq/C+TU4vwbn1+H8OpzfgPMbcH4Tzm/C+S04vwXnt+H8NpzfgfM7cH4Xzu9i334P+/Z72Lffx779PvbtD+D8AZw/hPOHcP4Izh/BeSScR8L5Yzh/DOdPeDyrqieKeDxfNy3f7alN6nGJb5z6ee5ncP4Mzp/zeD4cu+o3Z4tesXuGv7DpU8o255O9hPOXqOevUM9foZ6/Rj1/jXr+BvX8Der5Wzh/C+fvUM/foZ5HoZ5HoZ6/Rz1/j3r+Ac4/oJ5/hPOPcP4J9fwTnH+G889w/gXOv8D5Vzj/Cuff4PwbnH+H8+9wHg3n0XAeA+cxcB4L57FwHgfnnPp5hx9wHg/n8XD+E85/wvkvOP8F5wlwngDniTye6rHBRDj/Dee/4fwPnP+B879w/hfOk+A8Cc7/wfk/OHdzGeec2nkyl3HOae6HdhnnnPp+ag8X9at8esttTveXeY7XT+6iGYNW3HzIqZ17umgzf/tnnIUlz6QULtKPv3Lq59lTuoxzTtOfu4xzTu3c22Wcc2rnPi7j3NeF+99d6M9d6M9dxnkql3HOqZ37u4xzTu08tcs459TOA1zGOad2Hugyzjm1c4fLOOfUzp0u45xTOw9yGeecup4Hu0w959T1PMRl6jmnruehLuOcUzsPcxnnnNp5uMs459TOI1zGOad2brmMc07tXLiMc07t3HYZ55zm323g8VTTkNM8D+Qyzjm187Qu4zwdjycfvrGcKdQBS8/jeV09wO8i/c8NZODxVI/zcxafl1AgKKOL1L9KsIBTP9eciceT334Zp37ZzDyek9UDOi7znE4Wl3mOjlM/P/Yfj+eHJ5E7OE+O5C+QlcdT/QHOxzv+cxTN5jLPrXKqxxNkdh7PATzjOAPUF83homXr1AvxeKrHYnPyeN7NNec6p34uKhePp4cf/8hlnhPL7TLPV3IOVf8gRR4eT7W8caqv0y4vj6d6QJpzJ799l3wuKqk/mIv0v1+R32We2+N8O/7q6AEFXNTHpUbCZZwXdJnnpTkj1B8o5KKNavoXdlFB9eA9p9LiV8RFtdSB4NTP2Rd1URf1Qpy/vPkVirmMc059+Iq70J+70J+70J+70J+70J+70J+70J+70J+70J+7jHOCc4Lz0nBeGs7LwDmnrudlXaaec+p6Xs5l6nk5OC/vQn/uMvW8ggv9ucvU84pwzmn6czivBOeV4ZxzNX/tIVXgvCqcV4XzanBeDc6rw3l1OK8B5zXgvCacc+4dzjO4lovU9F/Bqf9dito8nnqi8HiqaViHx1MtaJzJ1bSpy+Opnpfn1Ie5nss8l8epD0t9F6nZc5xTP0fagMeT/+8sp/7nOhryeLZUE4/H8ycf2EYuUm9/k3OtetnGPJ76QVcXnnfl8VQTlFM/H96Ux1Oome4ixalDMzhvBufN4bw5nLeA8xZw3hLOW8J5KzhvDeet4bwNnLeB87Zw3hbO28F5OzhvD+ft4bwDnHP+H+5D4iw=</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="144">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0bEKgCAQBmAfza21rbmppaU37lGCqMALiQjC4fuWH/U8TkwJAKABecx79ksu1mfW6mKmoaxf57A/HdmFjIby/Oof5rj1C/eq/Vv1NP/X97y9H/4TAAAAAAAAAAAAAAAAAAD41QbXqRUV</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=220.083 Q3=59.200 sample=43 experiment=1 RT=2.81 ce=-45.00 name=N-acetylglucosamine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0C0OAjEQBlCOhEQgajgCGoXBoAgJCQEEAocj3IajIDkGCW032eFnCQnuPfNl2umkba8HAHxnlB6Rxunj/lMd1pvzcT+e/5d39+zqj++Y5vq6zJn2OW+nnMNzzsEh53FV+uelP/5jmX+ZtPdj3XXPd3O7znXVdW59d1qE+01fZ33vdlbqTc76H8166euv2331f5v/W7az3iPtwn6YBwAAAAAAAAAAAAAAAAAA8IM7CpE4fQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=227.202 Q3=227.202 sample=43 experiment=1 RT=0.57 ce=-10.00 name=C14:0_myristic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="232">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztz72JAmEQgGEDC7AEMTYyFxYMjMwMDMXQ4GrY3EQ72BIswRaswOw4PU4UT+78AYWZDowMnid5YWaW5avV4M0MvoroYhctPrfRavoTbU6/cz7e53yfPayO0dXoFB33f/Nu/hdt1P+j5fCW8/Y973vX6HyT86qVXa4vue9my1l+35jk/eHjkftB7osq/1N2zsWrTwcAAAAAAAAAAAAAAAAAAACAd/IEPbU0qw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=239.017 Q3=119.900 sample=43 experiment=1 RT=5.34 ce=-15.00 name=L-cystine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="480">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztz70rRXEcx/HzJwgZlOxKyWRQyHSX2x11LQbjHfwB0hkki4dkseB61kUXV3m8Cnm8HgaDDAbdYlBEyiApn89y/gPD+7W8fX/f8zv3CAIAAAAAAP6HMHfQ/PdH6kgdOv5rGDtVt050/nGmuedC88ul2uLGr7VvL2iu0RwcXanjnmvdVj+f1PvCR70/qPbvfer3gzZ/T7u/r14NU/rusOtQ5xX76o5blVdv9tTEtprZVe89v26qMbcppw64Dxtqdl1tWFPLvH9bVZ+yaofnbvc9G913L6udK2rec9I9yETPS5b8f/s8N6c+L/i7FtViJvr+Ye/z8+qL7/34/NbnSbff+0q3OBO9dzertk2pCd+r835mWu11b9wrv6fg+4M+P/V76ibVUj/35XnY+3xaPfd5n+cez6Nu+UR0H/f9Ru9T3i+ko8+PeP4eUwEAAAAAAAAAAAAAAAAAAAAAAADgH/gF3lyXNA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=241.217 Q3=241.217 sample=43 experiment=1 RT=0.56 ce=-10.00 name=C15:0_pentadecanoic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztzz1qAkEYgOG1yD0CXkDIBQZs7NJGPEVOELC02iPoGawDW8Qz2MmGIMa/+Js+MN+eINUWz9O8M8zMB1MU0C5p+JnyoruJfuxyp/197uPDNvrWnD+vc+v5V3R0yE0v0WJ2ii7PMefp3sy5RMe33N7kN7d6jfN6dc0tj3EvLeJ9OYh99R371In59ftP+ueXAQAAAAAAAAAAAAAAAAAAAKCV/gBc6TC2</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=243.062 Q3=110.000 sample=43 experiment=1 RT=1.85 ce=-30.00 name=Uridine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0jFLw0AYgOEMxbU/wf4BoXuXcytEMhUcQqGdHAquDkrNUnCRSneh0LUdOxQcFDoUpywunSLSvf4CpffdBfKFIAgu8j7Ly31cLknTIACAv9Qyv5u7mtitwx/q+bU+v2Ken1/xXElHXaerrsv3V5xXeh69z8/70uxCml5JnybS15n0ZGmb1NfS8zfb5+OdbWP7KfP3L9tsVjs99G5xZGsiWT/cBrZp7Paffdiabir3eVlJo7m09+jedyzd3EvbI2kzKXY6lO5vpObazS/deqDWcfH9/e9R+h6hmut9Tul/5Knr/b58f9V31+cAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPA/fQMtLExa</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=255.233 Q3=255.233 sample=43 experiment=1 RT=0.55 ce=-10.00 name=C16:0_palmitic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="240">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0LFKQmEYx2EHoVykIRoOBIkmpZxUOLNwdmnpHqIhiIJcBbEL6B66iEBwcPcOuoAjegcu0ftdQ9TwPMuPP+/wwVerwf9yXDXLn+5fT6PFcxa9ObuIfnXa0elTK5rNL6P1dTf6sr2O3u560feTYfRxM4ouD2k3jtKejAfRKk+9O0/37iqP3pf9tB9Si8+r6GKW3vt465S/8xMAAAAAAAAAAAAAAAAAAAAA8Le+AdWIHVA=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=259.022 Q3=78.800 sample=43 experiment=1 RT=4.46 ce=-45.00 name=D-fructose-6-phosphate" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0D1OwzAUAOAchQP0CB2ydMvC0KESQypUlQEhGNhzFI7SI3AEjlKJ2Jb8hKtUWRi+b3mK34+f03UAAMD/tOnvq4v1rf6lc9dae8+2/zu28kvvX/qfkml3+96SD3Pyeck3+qah7o/zcv7y2Kg7NPYZ61j6w3mZf0zfT3V92S/0PZzr+tgX9899/b6OZe4h7J/fM9T1cd+v5zn+vNRxep3j98ccx8+Uf0/z3tL5qd4jvwMAAAAAAAAAAAAAAAAA+HUFB4s95A==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=263.104 Q3=145.000 sample=43 experiment=1 RT=2.43 ce=-15.00 name=α-N-phenylacetyl-L-glutamine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0SFLQ1EYgOElk80/YDCYZD9hykVMYlgwiWFZNFpkIIJpDLHrwGZZMVluMovFZnE/YFgFEc/nuXDHHYJie57ycs797rlnrNUCgDn6Rad5v9dpfJ7X/W7z/m+/P3vej/Pz7v3He5R70Z3z6Npt9O4hdX/jNXX68Z56c7G0/tXJZDl182kldftwNbU9iP2tl8XUx8u39F5ZPse5C/fR0ThajKK7V/V7XA+j45Pve57V1+3T6PA4Oj2K5v+xPKj/vryf56r5bvN8lp9X7dXnqvfzumjuPLPnAwAAAAAAAAAAAAAAAAAA8O8+AeoBTPk=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=266.090 Q3=134.200 sample=43 experiment=1 RT=1.65 ce=-30.00 name=adenosine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0T0OAUEYBmBHUDqGjlKn3kYtkUhUiBAJjXAAR3AUpWM4giMoZkayw2TpFM/TvNn5vvnbabWA/9Yb1L+Hg09d7315f9VQ/3a8tM+vSuuk8Tyb6lleR4V6VRhP0r1j3if1vMxCjtdxn03I9i7kYxXr81if1vd9nav0HqV7pPlxvfYyZHcbz3UK2T+GvB1CdmKOz/VMfYt9XD+7b+P/yaXxpvcqzc/7AQAAAAAAAAAAAAAAAAAAgH/wBGlsMN0=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=269.249 Q3=269.249 sample=43 experiment=1 RT=0.52 ce=-10.00 name=C17:0_heptadecanoic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztzzsOgUEUgNG/UluCxAZUEo3oRWIJViJalcIC6NAplVpb0Kj8iUfiFUIn5lqCQnFO8+XemUwyWQb/pVPYNj7ttfLUTv0YHe5Tx7NdNP/uR4foK+Zx95RaWVxT2+tbanF6Ty2tYq6Un3Fei/2yGfN58ojzauyzTdyfD+K9ef/S+MU/AQAAAAAAAAAAAAAAAAAAAODfvQGsUizn</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=277.217 Q3=277.217 sample=43 experiment=1 RT=0.55 ce=-10.00 name=&quot;C18:3_n-3_(9Z,_12Z,_15Z)_alpha-linolenic_acid&quot;" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="220">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztzS1uAmEQgOE9Aj0GrqqqAoUFU9+kSTUY9N4AFAZTyTHW4vCIblAowl8IW9LSMHOJpnke82aS+eYrCvhbyufPzr3VaB2t3zbRznAbLcaH6KTeZ5tTdnCM7l4u0eXDd/Tj0ET7i5wHq6/o6/st7+9/8r/ZNdpqZ+tpvquK3C/nOT8+5f2qe879Xv4LAAAAAAAAAAAAAAAAAAAAAP/NL08NM6U=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=282.084 Q3=191.900 sample=43 experiment=1 RT=2.80 ce=-30.00 name=8-hydroxy-2_-deoxyguanosine" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0TESgyAQAECfdo1PoE6VJr1NKp/gk3xaGi04zYCTxpnsNjdwBxwwDADAJVHiPDFGHa+uz/u05hvndNd19v2zxr3WR52fX1HlY9piSfW5/7Guy3F3+Idv75D2y/3t88t7Gz/Px61+u93lPwEAAAAAAAAAAAAAAAAAgH/wARZHHzU=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=283.264 Q3=283.264 sample=43 experiment=1 RT=0.54 ce=-10.00 name=C18:0_stearic_acid_" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0LFKQnEUwOE7BC5GEogXGtLSWxRcXEJwEO7QVG/Q0OImOPkQvoANbr1BhO0+Qc/RLBdao/N/BtHh+5Yf5ywHTpbBcdnWjeq/H49n0eGmHX0uO9H8N3X5kqf54SL6tuhGs7IXHZdX0ZP6Ovo9G0TX8yJ6/po6/UrdPN1Ed0WaW6N+9PP+Ntrcpv3kNO3v3tOdn9VltZdHAAAAAAAAAAAAAAAAAAAAAMCB/QFt2Rvn</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=305.249 Q3=305.249 sample=43 experiment=1 RT=0.53 ce=-10.00 name=&quot;C20:3_n-6_8,11,14-eicostrienoic_acid&quot;" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="216">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztzzFqAlEQgOG9QXKEPUIqUwTkHSUX8ARaWKb0KF4gIOQAG6KFi40iWQkWETGCXWDGG9hYfF/zM1O84VUV3JfZw1eJvnxmyzxaBm3OzSo6/thG129dzu1PdnTI/eI3euj+onWTnezO0enyFH3q5b4Mc37sn6738p36eR+tjnmnfv+Ovl425ebPAgAAAAAAAAAAAAAAAAAAAMAd+wdhTzCM</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=307.264 Q3=307.264 sample=43 experiment=1 RT=0.53 ce=-10.00 name=C20:2_eicosadienoic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="196">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztyz0OAWEQgOG9g0Stco69CZXsIRRaPYXOERQOsHECEjREiIRYv0cQ3ziEyPM0b2Ymk2XwW8rJIv+0N4xm51Vq3l1HZ5vUsraNebVLHR8O8Vc/prabp9iPrjFXl/hbVtH5Pdr53vsx59NH7Itb7AfP2BfReeOVum/FHwAAAAAAAAAAAAAAAAAAAAD8qzczyDBv</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=309.280 Q3=309.280 sample=43 experiment=1 RT=0.53 ce=-10.00 name=C20:1_eicosenoic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="240">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztzyFKwwEYxuE/aBDTVsTpEGFJNKytbjuBdSbjWFpcXBlewBNYDLIbCIJpJxgahAWDYhoiJofw/neEhYXnKT/4wgtfUcCWaL220/48bX+/lN1ZpKdv72Wrn+n1dN27ZTp8/EnHT79p8+YvPfwqOrlPdtOPq/20sqqmt/cH6WhQS2f147T5cJI+TxvpZfcs3eudl3tHF53NPQ8AAAAAAAAAAAAAAAAAAAAA2+cfowIkkg==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=343.125 Q3=59.000 sample=43 experiment=1 RT=3.80 ce=-45.00 name=maltitol" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0LENwjAQBdCMxAjUGcEtnSskCtqMkBEZhYKcJV9ICG30XnPyt+U7exgAADitabx2NedtXfbP5XzL6/ajT7ovzuf+La9pvezP9+/z/Dv/0fzoP6zeX/bv36rtXO3zeHfk+b7Yjznm6VMvzyV/pH4l1chrn+e+uT8AAAAAAAAAAAAAAAAAAKf1BlEuOnk=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=346.056 Q3=78.800 sample=43 experiment=1 RT=4.40 ce=-45.00 name=AMP_(adenosine_monophosphate)" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="116">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0bsVwCAIAEBHygjsP5VVyiganjZ3LR8FWgMAAO6IuP2DsSfO1lXVr/abxd87ZfN239/tP5Pd51de9T2q/J0LAAAAAAAAAAAAAAAAAMjodx8IIQ==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=361.202 Q3=331.300 sample=43 experiment=1 RT=0.59 ce=-15.00 name=cortisol_" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="136">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJztzrENgDAMBMAMRpEBaNOloWMMRmEURkMCGSkhA6S4a162bMspwWRyzU9e+5u5vHms4zpEfW65udPv/faXth/7kf3cN1+7fvxfxvP9vwAAAAAAAAAAAAAAAAAAAAAwuRvUgBb6</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=391.285 Q3=345.400 sample=43 experiment=1 RT=0.81 ce=-45.00 name=deoxycholate" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztz79Kw1AYhvFcgpcSKNI1Q6+g9AJsQQg4iOIfSCmNVgSXjCU46eIg0kFoibgEBKdOpWLGDl5AegeFvN8Zzh0UeX7LwxeS75wEAbAnHhdR0+5H07RVqtmqaTn41dyvNG9tLjQHyVLz4Zfmn0L9nKtt2997U79f1auZ+v6iHuRq51ld2/w3VaNMTe/V8E6NJ37Tkfp0q5aXanVje67VeqhuTvz5KLHnsd3rzPYc+/vce+55eOHvc3Xnufu4e9fW/MHOGfv/575ze4JT23Pu3wsAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD/zg6mKk7U</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=407.280 Q3=343.300 sample=43 experiment=1 RT=1.50 ce=-45.00 name=Cholate_" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztz88rBGEcx/H9Q6RJqc3JxVV72YuTCwelligpNbRpD9LIUpbYUMKWuMgJKSeHvagtF2nKHvawLnLw4+AfUPP5PlPP5uCs9+vy7vvsd+aZzWQA/Emrlks6euH39lJ9Olf77Lx9onad+vPSgVo+VmObS/tqY9f2t22uqtGGGq6oRduLNm1/WX0sq9l1a0Vtbvl17+u3Oaz6c2Dvb9rzpTX7nsi/p7T6+16w53/n0Jk6caO27pJGUw9Jcz2tpIXvl6RB9Uu/935o//0zab2p8+BQ50H8pr3uV71n8FlzHOu5SkPzzr3m8Wu1duV/V3SkZjv+h2s0Z/970bpg/7Ootmf9BjP23LQ/p+cjambAP6+P2Rz6dfen5wV/P5y3vbydT/r3uDm9P9/xHcP+nvsut+fuc/vp853vAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA/8kPWAGGEA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=429.374 Q3=163.000 sample=43 experiment=1 RT=0.47 ce=-30.00 name=α-tocopherol" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztzD0KgDAMBtAcxaN0ce7k4iK4CJ7Co7vUQooHEHxvCfnyEwEfcdXyWmPJfVlzXrY2P4Z8z/tPnc62Nw/3Nd/1fwAAAAAAAAAAAAAAAAAAAADwTzepORC4</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=464.302 Q3=74.024 sample=43 experiment=1 RT=2.45 ce=-45.00 name=glycocholic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="232">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0SEKAkEUBuA9gqfwEpYNRqN9DRaTRbAYFptdzFvEMwgGMYjRI3gRQXB2F0bcsBYRv6/8vJn3dmeYJAGAlvJ++lF/09zr+mt/lcdh3FfXWbxf90/e1+k8ZDEu56fxfvW9Yhb3d5ZxVnOXPOR1FXKwLev9M/PuKeT9HNZ7h5C3Xcj1JuRoEf+vPk8li+/TpO37/Kp/uScAAAAAAAAAAAAAAAAAAMAXPQDTHy/3</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=498.290 Q3=498.290 sample=43 experiment=1 RT=1.60 ce=-10.00 name=Taurochenodeoxycholic_acid" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJwt3GVgFbsWBeDSUqhR2nPqkzk4XNxdsnF3d3d3fbi7u7u7u7s7xbU4VCi0QHk7yeLPurfAkUy+7OwRSuV2r7X7dBU56vmi19+im8ntD1sOqOnqIJeciklcf6a7LHfvtByxt488XNnPPfuEATLv8fpn7zceIjfkWzF+dI7hkppM6jBl1mjZ5Wi/OWHJx8t5rlYn1w2YhNebKu+vLDOxVL6Z8nPtg65xn2bhdebLrI6iXfq4lshCW0o1bLprhTy+9PPgwJGrZZ5q630qZFonOyY6QrsP3SgfxaZ3y5R9q1xSf8WWbQ93yGr6hXfJyw2/Ne8Vu0feeel/qkWN/XJf4V+n220+KI+fCs1c1/OIbBc98af3tGNyXMD/2rXyOSmzDG2RfGW7U/LSW7n2+fHTsmutdOXShJ+VqY64v2nR95zckenNmOXXzsvaM89leJbloozlb2+PviTntZ/YtvmTy7Lwzc4eywpdlY+KVV3zZOY1OWRdjrLi03Xp7zUhelv6m7LlsYGnrt24KXf26TTry7Bb0nff+sEXst6WzbosqBx1/7bclmZieMqxd2T+/02asr/kXXm248PgtD/vynp1sqyctPOefFtiQLbYzvdl18UDl67O8ED+GXs+s9/TB3L0qwsLj8x/KJ3XQjJkqvVIrjnQftt070hZYPVe/saR8vC/fZs2DHssq35MXiCw0BP5+G7d40O+PZFdT6yu9GbjUxkj1h6e0+aZHJ0yttxf67l0xpS+0eHec1mnx8UcnSq+kJnV1978Qo5I20EE+L+UD5tVWlyn90uZd1G2sHl3X0rP1O8mJRZ+JVtUvZiy5JJX8sCEzeNGJL2SAWenepxu/Vp2dus5Kvm51/LSgOMrInK/kdv3FLicatEbOfv75jg3j7cypoM6kG/lgzW9Svo8eCsLR5xsmrb0OykaFhrv3PJOJpu7dWeK4CjZyufPdTEiSpav2Cch9YcomW3s+wwedd/LyYmFy4Qfey97Ft7ezS/LB3lj29/J6Wd9kAVbqJn0US71H+gV3+ej9DiR/8Lz1x9l557fx12q90neTLOt3J5zn3DcPstlIzOfHr/hs0ye9/XIXmFf5LuIwXwovshqVwryR/wi9wyN2Vmr61cZ+uj6z7qvv8ohemJ+kx14tF1Xv8lO6bsNGpLpu7S/Bnx+2+67HJPDFV1q1XdZKfutbnlvf5f68Cd+l482Xd2wKm20bNTieb+DZaNlxADPi8c6RMsm7Yo/rzktWkbZG95X2h4t8/b717XujWiZTk+YaBnIr3rDN0Ym+69x61TZYqSaNcPLx8h+6kC2i5G1pi3o4RgTI3Ps6FnsyaoY6XWrYor1J2Nklgb5+a1ipMcg34z/JcXIF4qdiJVHj/Cv4rFy4dM5E8Y1iZXq7WoOjsVxjMW4xsozd7K3D38VK/9uVRM0Tg7+kDmvV444uft0RD2v2nHy8xIe4AFxMlN/98VeS+Lkql3eZX+eiJOPJ/9t//NNnAzS0H5Icrbml/ohu52++XdH9R+ygX/O3ct6/pCL+vX40nDuD/k0csd/jkM/ZNrS0W2vPv0Bp/GyaZlS7x/liJfzqPkBq2G8nPq4E8+oeHnu0YQbO7fEy38P1i+PuRcvi94/172A20/Z5+4blvJTLjzY6XHZ+j/lrf1qQv403jb9lOX3nKvkffenHL7rTWjVpJ/y4A6PqKn//ZI7qqTO86LOL9nq7c30jwf/koEjZwffX/lLnuGveevCL5m3jnv/p19/Scb48kNwgqydUb1Tgtx0afDneh0SZA76WjB0doLsVrdmwsdjCXJrh51Hj39IkGFV1TslylJqHS2TKNs6x38d0T1R7r3IIBYnSs/hHaefuJAo9WGKS5Qfqzbb+yXdb1k8WfWxqWr+llP3l6yXc9hv+bRrrozVN/2WOdOliet2/7c8VTRDlaEef6TjmzNiSZ4/su3a5B8PN/8j9zb+cShy8h/j8sAf2YBX44i3f+QGXm2KOf7Kwj/m7nhW/K+80KtNwTHt/8qGn3MfyTLjr4xso17gr2z2KKzG1nd/Zfo9K+3mjiSpeZdJknLY+ObJ+iRhfiXJZuW7LVt3Kwmf45+8U71NQKOi/2SWc3ubZej5T+plc9U/OWtN5qhdd/7Buxs9O7g779IwNyq3c8GckrndKGWx7ivvVHCjy2fKbOvcwo2mVQ87/K+/G9V68OX8vGludKP05uJZ17uRXs2Pu1G2Tc6b5R660asP83b7RbtRsSfpHl7xTkZ6HUufjDY1z7ysafFkVGr5mHoD6ySjPL15BnRJRvpwjk5GN1jvuiXJaNiWidv27E1GanXefz0ZzS58Z8HB98kobv/We3mTuZNe/sPcyTfyVibv3O7UsRyvHOXd6cx2t0MPmrlTsUr9s5zr5066LkxzpzG1Ky8bud6dfuU6mND4hDtl/ZLqeJ5H7nT9RuKohdHulHvO9W1/fTwozeaQpIQMHvQq/2efmcU9aN0xNdE96MK8aS/PdvGgyWnafm0y2oO81X8s9qCJcY8fjNrjQSlbLqwWfNWDyqjheOtBLl4mcv3zoMQ18zrtD0tOBb8VKV8xX3LS60TV5OQV1mtT8w7JaeUPD17RktOjsat+t1ySnHrzYX+7Lzl50yWfrjeTU7+ZH2tM/pDcjI+7J+WqUGXldsuTuAj6L83vSUezlTw5sqonLWv6O7h8G09KU4pHYLAn6WV9hie+tyd5cnUpccyT3rW7McXtrid1qrgg49GPnlR5UP0hI5OloCtNbGeJsBS05ca9Bp9zp6BsxWZfGVEpBXmpstM6Bb3hVWntkBR08vPyEjnmpqClHxjCthQUvtCdV+4UpKbtkRcpqPeEVrmz/E5Bt6sUaDo1KCXlVwU2Z0q9OhSqkJLUbw9tkZJ2q2VoQEo6NWbw6qRpKTGPUlL7Uqk8Gx9NScvUduJ2Srq7+B2vuCnJr3LdbNeTUhL/rUI/grzI7Cu8qP6pjWtrkBf1/VOSZ5QX5c354OKSzl40KzVXgOFe9D1aTTwv+naJJ/AmL8qn3vC4F91NoSa2Fx3u6p2wMsrLfL9EL9rW+Vnvyf7exMXTu1N6b9J1vrA39VITuao3Wale5JzZypu6VI+dXrefNx2aluJ7yERvUsvu1qXedCxn1/7VdnrTrALrXn0+400pN31du/C+N6VRX/CDN2nfv72ppvV+7yh/Hzo3I+/AnOl86Om+scNu5vehHzyd+lbwoeqbivz+3tiHvuT78CSypw/lUbDG+tDiReqXD71tvep+gR34+VkfGqbKX6SP8fDNh/T+z8OX9LYj1Jdene2S4kp2X1r04lSJ2tKXav0J6/ugji+Z9dGXzLrqS4eYf6NpvtTr+sTbz1b60gyuns59vvT108miGS77kjp6yV/4kl6mf/hSuPrCfn5w42eOXwk/8k2XePFkPT/yr/O0ct7ufhS/QBUyPyqZg4/oMj9SszPvAT86/0R9cT/SdeSzHxXgXUBRr1SUSm0UM6Qi9bESSqUivW1tkooWRLa/fah/KjrTbnOrerNTUY2Sb7f83J6KhvDyOftKKuJN4riC71ORVU9VWH/ioyKaZPQnvX8r50/XWg3+353W/vR1VZeXK0b4U8CK1g1HLvWnfEsbXWt1yJ/qLapZtvR9fxowv8KhdLH+VFRvaFLTkWrFDsRnT00+aiNUJTWFqY1bx9Sk90/jUpv5sjo1fcyqdpKp6djxD70mvEhNM+r2y7jgX2rKFRlfa19AAJ3dlavHmnQBlL3NpxzT8gXQbMfGTwPKBlAjtYDWDaDhv/yOuLcLoH6RtCFVvwDS+/KxAaS3tXMD6N2dWjPPrQkgve3ZHUCjeoU9z3Y6gPR251YA8ajUyfIigE5e6Dvz49cASq4K+d8Aqvxm46XBfoE0rU/ZDqWtQLrt9szdO1sgqVnasUgg1VcvXD6QdLtQJ5DWdE9d37dlIKly37xrIKnd0M6BgWYcxwaS2kU3nhlIg9RGemkgra/NG9KNgXTnv8LtQvYGkpv6dTKQFMcPVwKpyfZZhe884PdT2+5XgWT2TYGUfUII79gCqX3bIrsWJ3OQ2uYk+DgoYWXHPR+dDoq9NzT0iXAQr8ZDr2VyUEj59BWr53IQF7O9Fws5yFc1AtJBvGr+qF7RQa2WDLncsKaDmk6dS80bOoibkxOfWziIV49Swzo4KO3tni1T9nCQWDX12fz+DuqlCtJQB8U95I3fKAep3ejuCQ66EnDh8MFpDqqpNkZzHLSGd+OXFjko86A8Ne+ucBAvmgsi1zkoaUd1noEOqqPao10OuhfVJXv8AQc1Dj1wy+24w4zXWQdNuDp6QL9LDnLXX5h/zrvmMnf586lt9CP++VFPR9BzB20tzR3PG/75heSp331wkN5mfOOf3/bwOxjnoAaNxvikS+Sf8+Gb/M9BW9pyZ5DcSa1VI+LtJFX2a/s76Xez7ueSHE7aqT5eqJMCm3bsPNdyUtnSITMGpXFSf70RcNKDAlyYsjjJ21reImt2J+l9TW4ndY/6vSk6n5NWXNt8414hJ7mpxqSY06yfpZzUTjWQZZyktxMVnPRzsW/lulWc1GhjwWvFazhp8vQ3MWnqOE2dbewkHtWo8q2cNPfW490NOjqpTcORT7r24Nfdz+1PfyctD7rTZ9owJ+n+aQx/HjUBJjtpY8PL+c7OclKF/bF/7y50krPEwiwfVzhJ5OOVbp3TjOd2J13gbuvfYSdNSc87mgtOqukK6VL9jpOCePfV7zk+30cnRVrDWuf74aTp/XtbqdyCTH31DiLdrziD6MXAd7+GiiBa0PXNtbhMQVS95avV3XMHkUdd/p0iQfShe+MtbcsEkVo2nlQNovr6V5CpTy2C6HSJ2v8qdAoiNU1O9A4itSssMjSI3obyRnNsEPG32ZVrehCNUu3MgiDS/dSqIFLDtGhzEK1JxhNhbxA1UdvEY0EU8OHADo8LQRSvtgk3g2jrT97APAoitXz0eR1ErL/Np89BdOM2w4sPonGq7fwXRMUPZ3xZ3zuYYtT2yRFMimFVEUzTji46fjZTMPZ3wWZ/UiSY9P+WCaaOU2Y5NlYNJnvEjKi09YOJj8rRRS2CTZ3rFEz6fEHvYNL9xNBgeqK2+2ODaXazpLKJ04KpkiosC4KJ/+/Lp5XBZPr6YOKmNP7lnmCqXaHnlSbHgs2+8nywqZc3g6lvus5Vzj0KpmzBHdOUeh1Marn8/i2Ypjzkhv1PML5PCOl+JiSElv6PF8r0ITg+IXQ9vHakVSKEtvPXvV0phHI/zZhiVP0QeqG2SW1CaObKX3nf9Qih0qohHxpCalmrOjGEVpfniTU3hHQbvyqEPNTGbnsI7fnYd1/wkRBqx3/s4oUQCtpe8eWQuyE0n3dzWV+GEDdv365Gh9DA15fP93IPpfdp7y0LcoZSVrX8ZQgl3TcVCDWfu3IoPf0Xebdui1DS5wF6hZLq0uNHhZJuL+aEEivfMXddKB2O5MbsQCg51MbzfChN6cYQb4Wa/dvTUBrxu1iv6+9DSY1qq7hQ6qOg/QslfX7GN4y4GWwUGhpGz1/4ztmUPsx4zBVGatm7XjSMqhWeVLpV+TA6l7R7aEytMJKqADcLw/ENI49c+66s7RtG//vxzLPwiDCKP+pFlyaHUa+x+YY0nR9Gut1fHUbPqvHAb+PXD5okCh7i12fWF86Gmbpwk1+ftxufHvPr58vjOTwqjHjXLQNiw4hnjbU8KYzU9r6ATzhlUo1EcDjptj9dOKnpHpUjnNqOeFRycJFwelKBO+Ny4aT70ZrhdFNtT5uGU2V1QqBDuNkH9Ak3+4r/hZNaJgZNCqc8R7Kk9p0XTptH8wZ4ZTjF6dNQ4dRdFegD4RS1q+6immfCqTVvB15eDyddbiPDSW8b3oWjLwg3+7CEcPqzKfp2dfcIGjomd7X1PhFYXyNIn2ewIighNX/yDBFk+u8Ic3wKRNCgpaszHCoRQZn1Bj2C1g/gmVE9wnzv+hG0LitP+BYRlFEtMB0iSPexPSLoRR3ecQyMoFY5Es7NHhFBzz0Ly08TImg6H6ZKMyNIbUNXLoygqYfUBjaC/OZsGl17U4SZL7siyLcCCz0cYfqV0xFUNK04f+ByhDkOdyKoCLdTnR5H0AFup069jiB9nuQzf67sXIG+R5DaLnyOiyDdNyZEkOoGTvyNMPsNd4t0O53CQr226ARvd1qltkifbnFa1N0vS4P8YRap8rtcWGQpkOksitya2Kx7Jov06amsFk28sTM75bKoYvXrbTfks4hnzRL/whbNbaN2DBapbWRQEYvU9mEBpz7vV9SiSyeDfi3j1PWwmGX275y6/yhumT6JU/fnJSwKr8EdP+f6txGD85e0yJzHs+iUeplSFqnfPsr5uCzvgKRFnfV/WKZukUV7eFt8jVO1ZbVKW2Yfydn0V9SMBmUsej+jwepHnLqulrVIn8/inMk/blPOIn3eiXPLuBFJncpbVET9gHO+aisrWJRBTQjOF6+LVupf0aJS9XL+ieXUp1Er8Tip03ac+rxXZYv4Vdcmr2KRWxUeAc7p/DIpqvI4q9NinBsDVs/wq2ZRIfUfnGd4W+eobpm+nfNpD3UmgcdTDTgnj0KSq6ZF4wryX+A05ystUtvpjZzq02SvbdGROXxgOPV5szoWeX48/PQg5+xRWb8Xr2tRGtUQcur9TT0LfYBFaltfqb5F9QfWqXaFk0eVP7pFPdfn7n2LU79dQ4sm3/Ob/4BTnTxu0ojHU31QTqWiWWMeTz9uDDj1eb8mFul2m1PP56aWWXc4NaNmPJ76tDjPRwWrOY8nT6dfnPo8aAuLgtUX51SjNaqlZfqbVhapNn0Kpxpen9YW6dMdnO3VALWxzPkMTh7VayFtLdOvcC5Wp+/aWWTOV1ukfjtDe8ucF+DUfW4Hi/R5HM6PzCZ3R8vsOzl1/9LJMuc7OHXf2Nkifb6Ks1iS60bpLhbOR1ikp0lXy/R3nD3VC3ezSB2uW5xqltfrzuOpJhin+tRNelhYZ+C2J4+nOi/PqT9WL4s6qtNjnHHqZXpbpE/bc6ZWH7SPRea8rUVZFai+PJ7M7A+nvt7QzyI1O9z7W6RGYRynOQ9pkZqeUwbA+UA4Hwjng+Ccs4R+YTgfDOdD4HwInA+1SA3H5qFwPgzOh8H5/+D8f3A+HM6Hw/kIOB8B5yMtUrvri5yBekJYtJxZ3ODU0320RYc68V/grKDhWaSXUc7WauKMtegrT5OXnPrwj7NIHdaocXA+Hs459fBOgHNOPRwTLdLb+4lwPsmivgrKZDifDOdT4HwKnE+F86lwPg3Op8H5dDifDucz4HwGnM+E85lwPgvOZ8H5bMv0hZxt1bI8x8J5FYv0MjoXzjn1ed15lqlv8+B8Pq+bCsp8OF9gmX6Q871aBhbC+UI4XwTnnLaasIvhfDGcL4HzJXC+FM6XwvkyOOfU02Q5nC+H8xVwvtIyffpKOF8F56vgfDWcr4bzNXC+Bs7XwvlaOF8H5+vgfD2cr4fzDXC+Ac43wvlGON8E55vgfDOcb4bzLXC+Bc63wvlWON8G59vgfDucb4fzHXC+A853wvlOON8F57vgfDec74bzPXC+B873wvk+ON8H5/vhfD+cH4DzA3B+EM4PwvkhOD8E54fh/DCcH4HzI3B+FM6PwvkxOD8G58fh/Dicn4DzE3B+Es5PwvkpOD8F56fh/DScn4HzM3B+Fs7Pwvk5OD8H5+fh/DycX4DzC3B+Ec4vwvklOL8M55fh/AqcX4Hzq3B+Fc6vwfk1OL8O59fh/Aac34Dzm3B+E85vwfktOL8N57fh/A6c34Hzu3B+F87vwfk9OL8P55zLv204X/UBnHOq0yO1H1qmj+fU+8pHljnv+AjOI+E8Es4fw/ljOH8C50/g/CmcP4XzZ3D+DM6fw/kLOH8B5y/h/CWcv4LzV3D+Gs5fw/kbOH8D52/h/C2cv4Pzd3AeBedRcP4ezt/D+Qc4/wDnH+H8I5x/gvNPcP4Zzj/D+Rc4/wLnX+H8K5x/g/NvcP4dzr/DeTScR8N5DJzHwHksnMfCeRyc/4DzH3AeD+fxcP4Tzn/C+S84/wXnCXCeAOeJcM5ZRk2E33D+G87/wPkfOP8L53/hPAnOk+D8H5z/g3M3YZxzaufJhHHOqZ27C+OcUzv3EMY5p3aeXBjnnNq5pzDOObXzFMI459TOUwrjnFM79xLGOad27i2Mcx9hrntxHuP22sdXEHcrj6dxPizMjYGfoPY3prjN5dTX31MJGpnUKdNizlTzHxS2/QUtzskNDqc+jZda0L5mGXqu5ywTN2tU1gBB6q9v5WzOP84dKEht03dzqu13QYcw+3ZOvW93CrNv59T79iBhrp9x6n17sDD7ds5X6naNEGH27Zz6skuoMPt2Tr1vDxOkrlY+5dTn1cMF6cv7nHrfHiFIX8/k1PeJWILUx/7OOZo/Tl8hKDW/TTyn+uuDbUHZ+Md/OPW+3SWonPrAaQTp68ecLWvEH/VKK8y+nVO19f7pBKUM5hHh1Oct0gtSlw0Xcu54PC27lUFQCXXhiFO1dekyCmqoGivON9yGZckkSB2mzZxq+HNmFjSVh3Unp77ulUWQGob9nPq6xX+C1Mc+yqk+DmUV9ITf5gxnZ/7rFbIJcz6Fc2w9HtDswlwP5NSXQ3MIymGdmXSPU1+HycnzUk0MTn2fTC5hzldw6tsYcvO83NjkVxSnvl6Yh+clT4+vnOqw984raBcfzjhOfb01nzDXDTgbqwY2vzDXAwsIc/2MU9/PUVDQdP7YkzjVx/ErJEi9zQzOQmpCFhakfjyfU1+HLSLMdWNO058LUm3xas7x3O5mKibIqSYGp5rm2YsL9OeCjvC0zFtCkJpuezlNfy5IXy/nVIe9ZCmB/lygPxfozwWpYa1CAv25QH8u0J8L9OcC/blAfy7Qnwv05wL9uUB/LtCfC5zfFqTYxHCa/lyQmua/OE1/LtCfC1LTbVRlgf4czqvAeVU4rwrn1eC8GpxXh/PqcF4DzmvAeU04rwnnteC8FpzXhvPacF4HzuvAeV04rwvn9eC8HpzXh/P6cN4AzhvAeUM4bwjnjeC8EZw3hvPGcN4EzpvAeVOB/hzOm8F5MzhvDufN4bwFnLcU6M/hvBWcc5r+HM5bw3kbOG8D520F+nM4bwfn7eC8PZy3h/MOcN4BzjvCeUc47wTnneC8M5x3hvMucN4FzrvCOafpz+G8G5x3F+jP4bwHnHOa/lygPxfozwX6c4H+XKA/F+jPBfpzOO8r0J8L9OcC/blAfw7nAwT6c4H+XKA/F+jP4ZzT9OcC/blAfy7Qnwv05wL9uUB/LtCfw/n/BPpzgf4czofD+Qg45zT9Oer5SNTzUajno1DPR6Oej0Y9H4N6Pgb1fCzq+VjU83Go5+NQz8ejno9HPZ+Aej4B9Xwi6vlE1PNJqOeTBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+XKA/F+jPBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+XKA/F+jPBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+HM45TX8u0J8L9OcC/blAfy7Qn8P5CoH+XKA/h/NVAv25QH8u0J8L9Odwzmn6c4H+XKA/F+jPBfpzgf5coD8X6M8F+nOB/lygPxfozwX6c4H+XKA/F+jP4XyrQH8u0J/DOafpzwX6czjfAec74HwnnO+E811wvgvOd8M5p+nP4XwPnO+F831wzmn6czjfD+cH4PwAnB8U6M/h/BCcH4Lzw3B+GM6PwPkROD8K50fh/BicH4Pz43B+HM5PwPkJOD8J5yfh/BScn4Lz03B+Gs7PwPkZOD8L52fh/Bycn4Pz83B+Hs4vwPkFOL8I5xfh/BKcX4bzy3B+Bc6vwPlVOL8K59fg/BqcX4fz63B+A85vwPlNOL8J57fg/Bac34bz23B+B87vwPldOL8L5/fg/B6c34fz+3D+AM4fwPlDOH8I54/g/BGcR8J5JJw/hvPHcP4Ezp/A+VM4fwrnz+D8GZw/h/MXcP4Czl/C+Us4fwXnr+D8NZy/hvM3cP4Gzt/C+Vs4fwfn7+A8Cs6j4Pw9nL+H8w9w/gHOP8L5Rzj/BOef4PwznH+G8y9w/gXOv8L5Vzj/Buff4Pw7nH+H82g4j4bzGDiPgfNYOI+F8zg4/wHnP+A8Hs7j4fwnnP+E819w/gvOE+A8Ac4T4TwRzn/D+W84/wPnf+D8L5z/hfMkOE+C839w/g/O3Wz05zb6cxv9uY3+3EZ/bqM/t9Gf2+jPbfTnNvpzG/25jf7cRn9uoz+30Z/b6M9t9Oc2+nMb/bltnHNq5762cc6pr+/62ZRi1LyyUzi181S2cc6pnfvbxjmndp7aNs45tfMA2zjn1M4DbeOcUzt32MY5p3butI1zTu08yDbOObXzYBvX0W3jPMQ2zjnN/X+2cc6pnYfZxjmndh5uG+ec2nmEbZxzaueWbZxzaufCNs45tXPbNs45tXOXbZxzaudpbOM8rW2cc+rhTWcb55zaeXob9wnb5uNnsHEfoG2cZ7SNc07925ls45xTO89sG+ec2nkW2zjn1M7/s41zTu08q22cc2rn2WzjnFM7z27jvknbOM9hG+ec2nlO2zjn1M5z2cY5p3ae2zbOObXzPLZxzqmd57WNc07tPJ9tnHNq5/lt45xT339SwDbOC9rGOad2Xsg2zjnN9XMb189tXD+3cf3cNs6L2rh+buP6uY3r5zaun9vGOWezGad//FfCNve3cg5Uj4mUtM19hZyzvgyTBUvxeI77VPsg51bRpF1xaVNRdQM9p7l+zuP5et2SswTnpeG8NJyXgfMycF4WzsvCeTk4Lwfn5Xk81WMe5eG8Ao/n37uDPlSA84o2qdtFvnEuPZt2Z59KPJ7qi3Dq+0Mq21RO3SjBeSv944ThVXg81eMoVW1zH01VOK8G55xzwvgbV7fNfYuc6nAE1bBJPRWygFM/P1PTxn0qNqmvm7YWj2dJnwdrOJP442WubZv7MzjD1QDWsWk9/7GdnPnVr7o2nbq8qvx+zhrqdv16NvGn63KUUz2VJOvzeP7HX4RzzEn+gw1scx8kpz7f3tA291Ny6vPtjWxzvp1Tn29vbJvz7Zxf+bC1aMLjqSYWp7pNtl1THs+y/Ak5M6g3bsbjqW7T5FRfo1dzXjf548Vyqrcd0MI29+dy9lUfsKVt7vtsZZN+3IVT3/fR2qaN56sWnsSpn/tpw+vmD/4inPq5mLa8bmbkkebU97u243VTPQbAqaaVq71NDvWFOVdG8At24HWTD+8GTv08WkdeN/lwbOe8x8Oct5NNavj2cn7nYSncmddN9cQRp75/twuvm/zxTnJmUge4K6+b/HLnOfWDSd143bzKvzj1cz/dbVK3Q97m7K8mQg847wHnPeG8J5z3gvNecN4bznvDeR847wPnfeGc0/TncN4fzvvD+QA4HwDnA+F8IJwPgvNBcD4YzgfD+RA4HwLnQ+Gc0/TnNvpzG/25jf7cRn9uoz+30Z/b6M/hfCTq+Ug4HwXno+B8NK+bpXkGjobzMXA+Bs7HwvlYOB8H5+PgfDycj4fzCajnE+B8Iur5RNTzSajnk+F8MpxPgfMpcD4VzqfC+TQ4nwbn0+F8OpzPgPMZcD4TzmfC+Sw4nwXns+F8NpzPgfM5cD4XzufC+Tw4nwfn8+F8PpwvgPMFcL4QzhfC+SI4XwTni+F8MZwvgfMlcL4UzpfC+TI4Xwbny+F8OZyvgPOVcL4SzlfB+SrU89Wo56tRz9egnq9BPV+Ler4W9XwdnK+D8/Wo5+tRzzegnm9APd+Ier4R9XwTnG9CPd8M55vhfAvq+RY43wrnW+F8G5xvg/PtNu4vtkmVwWY7eH+k/iDn5ujb1dvstEndTvmW8xxPv067bNwHbpOaLj122+Y+as5EPrz99vD+SN3uvgf1fK9t7j/l1Per7rNJP4a7n/dH6jFbTv3c5QGb9OOHnDH8tgEHeTzVQsmp/ljIIds8F8KZRT3wcJjHUz2/xqmvqx2xzXNVR1DPj6KeH0U9P4Z6fgz1/Djq+XHU8xOo55wX+PCWPol6zqmW3YqneH+kDhynvk/yNJxz6ucxz/D+SD0+yqmfxzhrk3rbp5z6ftRzcM7ZQf06D+ecimW3C6jnF+D8Iur5RdTzS6jnl+D8MpxfgfMrcH4Vzq/C+TU4vwbn1+H8OpzfgPMbcH4Tzm/C+S04vwXnt+H8NpzfgfM7cH4Xzu9i334P+/Z72Lffx779PvbtD+D8AZw/hPOHcP4Izh/BeSScR8L5Yzh/DOdPeDyrqieKeDxfNy3f7alN6nGJb5z6ee5ncP4Mzp/zeD4cu+o3Z4tesXuGv7DpU8o255O9hPOXqOevUM9foZ6/Rj1/jXr+BvX8Der5Wzh/C+fvUM/foZ5HoZ5HoZ6/Rz1/j3r+Ac4/oJ5/hPOPcP4J9fwTnH+G889w/gXOv8D5Vzj/Cuff4PwbnH+H8+9wHg3n0XAeA+cxcB4L57FwHgfnnPp5hx9wHg/n8XD+E85/wvkvOP8F5wlwngDniTye6rHBRDj/Dee/4fwPnP+B879w/hfOk+A8Cc7/wfk/OHdzGeec2nkyl3HOae6HdhnnnPp+ag8X9at8esttTveXeY7XT+6iGYNW3HzIqZ17umgzf/tnnIUlz6QULtKPv3Lq59lTuoxzTtOfu4xzTu3c22Wcc2rnPi7j3NeF+99d6M9d6M9dxnkql3HOqZ37u4xzTu08tcs459TOA1zGOad2Hugyzjm1c4fLOOfUzp0u45xTOw9yGeecup4Hu0w959T1PMRl6jmnruehLuOcUzsPcxnnnNp5uMs459TOI1zGOad2brmMc07tXLiMc07t3HYZ55zm323g8VTTkNM8D+Qyzjm187Qu4zwdjycfvrGcKdQBS8/jeV09wO8i/c8NZODxVI/zcxafl1AgKKOL1L9KsIBTP9eciceT334Zp37ZzDyek9UDOi7znE4Wl3mOjlM/P/Yfj+eHJ5E7OE+O5C+QlcdT/QHOxzv+cxTN5jLPrXKqxxNkdh7PATzjOAPUF83homXr1AvxeKrHYnPyeN7NNec6p34uKhePp4cf/8hlnhPL7TLPV3IOVf8gRR4eT7W8caqv0y4vj6d6QJpzJ799l3wuKqk/mIv0v1+R32We2+N8O/7q6AEFXNTHpUbCZZwXdJnnpTkj1B8o5KKNavoXdlFB9eA9p9LiV8RFtdSB4NTP2Rd1URf1Qpy/vPkVirmMc059+Iq70J+70J+70J+70J+70J+70J+70J+70J+70J+7jHOCc4Lz0nBeGs7LwDmnrudlXaaec+p6Xs5l6nk5OC/vQn/uMvW8ggv9ucvU84pwzmn6czivBOeV4ZxzNX/tIVXgvCqcV4XzanBeDc6rw3l1OK8B5zXgvCacc+4dzjO4lovU9F/Bqf9dito8nnqi8HiqaViHx1MtaJzJ1bSpy+Opnpfn1Ie5nss8l8epD0t9F6nZc5xTP0fagMeT/+8sp/7nOhryeLZUE4/H8ycf2EYuUm9/k3OtetnGPJ76QVcXnnfl8VQTlFM/H96Ux1Oome4ixalDMzhvBufN4bw5nLeA8xZw3hLOW8J5KzhvDeet4bwNnLeB87Zw3hbO28F5OzhvD+ft4bwDnHP+H+5D4iw=</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="644">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=258.252 Q3=258.252 sample=43 experiment=1 RT=0.53 ce=-10.00 name=FFA16:0-d3" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztzr0JAkEQgNHrwQI0MhBj40vNLMFGBMFGrMDACq4Eg0PlAvEfFUUFMTASdpoQeS/5mGUYNsvgN+TzRZ7aLaPXZWo2WEXn29Risom2dqnD2iF13dlHy5j7rVPsTS/xXt3i7iraGz1inj1jvxnNP/fU8escc3VMbdTjftGOZu/4BwAAAAAAAAAAAAAAAAAAAAD8qy8C4TF0</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=411.306 Q3=347.300 sample=43 experiment=1 RT=1.50 ce=-45.00 name=cholic_acid-d4" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="480">
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" unitAccession="MS:1000131" unitCvRef="MS" unitName="number of detector counts" />
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" />
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" />
              <binary>eJzt0k8oBFEcwPFJEQfJn6ODk1Y5jLvDbrm4ubhLZFNbQ7sa8mdEWiWtkuWgHJSTclJuW6tcpE2I296VCwfFQd7v96betAdnfT+Xb/N6b/68eZ4H4E+iQtq0Ly+tLUijlcT4lrS+quNB43Xx+ITbYE7vm0s8J5dYl1hfn9V54+7zomn3vna+nRd/l71fVuqHjdfXltx14Ya0t6Tvsavrj6X9Z9K9S2mmalopP8n18Kvp2NCXqT/anPntSFuX6dR3p+l1usc0ey7Xn2vtpoMD3aatN3JdzHumpZkmU//xw9z3pPBmGr2/SDvupQdV/Z4racuF9O5Uv0/7cKQt6z7tS2+10aH0eUea0nMQrOt+hO613Td/WWr/s52XKrrz7XmK939b32NTq/8vWtR584n5Om7/mz23djz+33aenjd7ruJzqefBnqPKpFsAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPCv/ACEL34a</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=183.082 Q3=82.000 sample=43 experiment=1 RT=2.10 ce=-30.00 name=hippuric_acid-d5" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0q1OxEAUBtA+AgqN2QTBIyDKG6xEIhDIDUGTotfU4DfYfQJcBR40ag3JKhKCA0Myt7NJJwyEBHmO+XLn53ambdMA8Ktu3qYcTtuf17Xfz9fG//r8sk+uy8znrJ6n0q+833Aedd9F7vWR27vIg/uU3f5jyuH6OXL5krI9eY169pbyaf0e+46ibg63kavY130+RP2xjjy+Hedvxrwc73c1vWfO1dn0/LnO99hcTOt+EZnfR15fvp9aZrv188p4ZV+p/G61vrv+lf8BAAAAAAAAAAAAAAAAAAAA/skXWpdOWw==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=169.103 Q3=152.100 sample=43 experiment=1 RT=2.52 ce=-15.00 name=phenylalanine-d5" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0rErRWEYx/GzKJvEenMyyGDwJ5wrymg5ZWMg5d4iSSbdIoNJulmIQrmTQcmklIVBdzMbDAajwaLk+Z3z1vvkbMbvZ/l2znnf97znvjdJAAD4b4uZOhW3tZLFz/O/x4VWrTOXxe/L3bVfx90P8/24PO7MWrzvcl6YX+6vEO67dar2WY7PluP3jO+pw1fW1lDX+tp4t2729dR/2x6rWR+bo9aPrRHr8UBqXfjst6ZP3zYvPdL8+94Xrb/0rPUHH3TdvVMbt+r6jTp7rW5oP8lbp/iOc/XsQp24VFdP1fRE/WoX6xyo8/vq5GHxfEed3lU723HDOfhzc/+P8Dv6c/L8uQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAqvwAGZhRpA==</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=121.100 Q3=121.100 sample=43 experiment=1 RT=3.11 ce=-10.00 name=proline-d7" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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=43 experiment=1 RT=3.97 ce=-15.00 name=succinic_acid-13C4" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJzt0D0KwkAQBtCAF/AInsJ6W3MDa48gWKfwHJIy5AwpUuVcFqOBLAQxbLr3mo9d9mdmqgoAAHbWXFLRe6v7123/5E63tHjv7zo29lvat/70iKzbyPMQOU6Rh8/61Ud2z8jjPXKeR9ZXPp9ffZc+BwAAAAAAAAAAAAAAAADA7t7I8B0u</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram id="SRM SIC Q1=150.093 Q3=131.100 sample=43 experiment=1 RT=3.80 ce=-15.00 name=glutamine-d5" defaultArrayLength="2260" 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="13632">
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" unitAccession="UO:0000031" unitCvRef="UO" unitName="minute" />
              <cvParam cvRef="MS" accession="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>eJztzy8KAkEUB+C9hwhGo0fQ6hG2mgSbwbpNsBk8gMELGMXgCQwarMbFaLOIMLMb/MPKGuX7yo+Z95j3JkkAAKCQ9bv1+tPuU/76/re5r/W6e35zHnx+r5xT1stzmZ1pzP0y5nwbMhseQ7Y2l3jfvofMF0kvPNe8hfO5kYfcnQ6xr7+JOVrHvK6KebNij3Exd1K919t9+rn++u+3/rS6DwAAAAAAAAAAAAAAAACAv/cAKN85Og==</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=43 experiment=1 RT=3.45 ce=-10.00 name=Glyoxylate">24994</offset>
      <offset idRef="SRM SIC Q1=74.025 Q3=74.025 sample=43 experiment=1 RT=3.89 ce=-10.00 name=glycine">44400</offset>
      <offset idRef="SRM SIC Q1=87.009 Q3=87.009 sample=43 experiment=1 RT=2.16 ce=-10.00 name=Pyruvic_acid">60614</offset>
      <offset idRef="SRM SIC Q1=87.045 Q3=86.900 sample=43 experiment=1 RT=1.02 ce=-15.00 name=1-butyric_acid">76873</offset>
      <offset idRef="SRM SIC Q1=88.040 Q3=88.040 sample=43 experiment=1 RT=3.63 ce=-10.00 name=alanine_">93059</offset>
      <offset idRef="SRM SIC Q1=89.024 Q3=89.024 sample=43 experiment=1 RT=2.87 ce=-10.00 name=L-lactic_acid">109306</offset>
      <offset idRef="SRM SIC Q1=102.056 Q3=101.900 sample=43 experiment=1 RT=2.98 ce=-10.00 name=dimethylglycine_(DMG)">125678</offset>
      <offset idRef="SRM SIC Q1=103.040 Q3=56.910 sample=43 experiment=1 RT=2.39 ce=-30.00 name=2-hydroxyisobutyric_acid">141926</offset>
      <offset idRef="SRM SIC Q1=103.040 Q3=56.900 sample=43 experiment=1 RT=2.39 ce=-30.00 name=2-hydroxybutyric_acid">158075</offset>
      <offset idRef="SRM SIC Q1=104.035 Q3=74.000 sample=43 experiment=1 RT=4.06 ce=-30.00 name=L-serine">174196</offset>
      <offset idRef="SRM SIC Q1=112.054 Q3=68.003 sample=43 experiment=1 RT=1.73 ce=-15.00 name=creatinine">190177</offset>
      <offset idRef="SRM SIC Q1=114.056 Q3=114.056 sample=43 experiment=1 RT=3.30 ce=-10.00 name=Proline">206341</offset>
      <offset idRef="SRM SIC Q1=115.004 Q3=70.900 sample=43 experiment=1 RT=4.19 ce=-15.00 name=fumaric_acid">222686</offset>
      <offset idRef="SRM SIC Q1=116.047 Q3=73.900 sample=43 experiment=1 RT=3.70 ce=-15.00 name=guanidinoacetic_acid">238793</offset>
      <offset idRef="SRM SIC Q1=116.072 Q3=116.070 sample=43 experiment=1 RT=3.05 ce=-10.00 name=valine">254888</offset>
      <offset idRef="SRM SIC Q1=116.072 Q3=116.072 sample=43 experiment=1 RT=4.03 ce=-10.00 name=5-Amino_pentanoic_acid">271291</offset>
      <offset idRef="SRM SIC Q1=117.019 Q3=73.100 sample=43 experiment=1 RT=3.96 ce=-30.00 name=Succinic_acid">287497</offset>
      <offset idRef="SRM SIC Q1=117.056 Q3=71.000 sample=43 experiment=1 RT=1.89 ce=-15.00 name=2-hydroxyisovaleric_acid">303441</offset>
      <offset idRef="SRM SIC Q1=118.051 Q3=54.900 sample=43 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）">319710</offset>
      <offset idRef="SRM SIC Q1=118.051 Q3=74.100 sample=43 experiment=1 RT=3.79 ce=-15.00 name=threonine（离子对正确具有唯一性）">335641</offset>
      <offset idRef="SRM SIC Q1=122.025 Q3=78.000 sample=43 experiment=1 RT=2.36 ce=-30.00 name=Nicotinic_acid">351837</offset>
      <offset idRef="SRM SIC Q1=128.072 Q3=128.072 sample=43 experiment=1 RT=2.95 ce=-30.00 name=pipecolic_acid">367792</offset>
      <offset idRef="SRM SIC Q1=130.051 Q3=83.900 sample=43 experiment=1 RT=3.65 ce=-30.00 name=L-4-hydroxyproline">383914</offset>
      <offset idRef="SRM SIC Q1=130.062 Q3=88.000 sample=43 experiment=1 RT=3.55 ce=-15.00 name=creatine">399911</offset>
      <offset idRef="SRM SIC Q1=130.087 Q3=130.086 sample=43 experiment=1 RT=2.72 ce=-10.00 name=isoleucine">416120</offset>
      <offset idRef="SRM SIC Q1=130.087 Q3=130.087 sample=43 experiment=1 RT=2.61 ce=-10.00 name=leucine">432448</offset>
      <offset idRef="SRM SIC Q1=131.046 Q3=131.046 sample=43 experiment=1 RT=3.99 ce=-10.00 name=asparagine">448771</offset>
      <offset idRef="SRM SIC Q1=131.083 Q3=131.083 sample=43 experiment=1 RT=6.23 ce=-10.00 name=Ornithine">465021</offset>
      <offset idRef="SRM SIC Q1=132.030 Q3=88.200 sample=43 experiment=1 RT=4.50 ce=-30.00 name=aspartic_acid">481414</offset>
      <offset idRef="SRM SIC Q1=133.014 Q3=71.200 sample=43 experiment=1 RT=4.00 ce=-30.00 name=malate">497582</offset>
      <offset idRef="SRM SIC Q1=135.056 Q3=78.200 sample=43 experiment=1 RT=0.61 ce=-30.00 name=N-methylnicotinamide">513487</offset>
      <offset idRef="SRM SIC Q1=136.040 Q3=91.900 sample=43 experiment=1 RT=1.46 ce=-15.00 name=4-aminobenzoic_acid">529402</offset>
      <offset idRef="SRM SIC Q1=145.014 Q3=100.900 sample=43 experiment=1 RT=4.01 ce=-15.00 name=a-Ketoglutaric_acid">545652</offset>
      <offset idRef="SRM SIC Q1=145.051 Q3=81.000 sample=43 experiment=1 RT=3.96 ce=-45.00 name=adipic_acid">561816</offset>
      <offset idRef="SRM SIC Q1=145.062 Q3=57.800 sample=43 experiment=1 RT=3.80 ce=-45.00 name=glutamine">577740</offset>
      <offset idRef="SRM SIC Q1=145.098 Q3=145.098 sample=43 experiment=1 RT=5.98 ce=-10.00 name=lysine">593724</offset>
      <offset idRef="SRM SIC Q1=146.046 Q3=101.600 sample=43 experiment=1 RT=4.11 ce=-30.00 name=Glutamic_acid">610054</offset>
      <offset idRef="SRM SIC Q1=148.044 Q3=148.044 sample=43 experiment=1 RT=2.89 ce=-10.00 name=Methionine">626060</offset>
      <offset idRef="SRM SIC Q1=149.046 Q3=59.100 sample=43 experiment=1 RT=2.13 ce=-30.00 name=ribose">642358</offset>
      <offset idRef="SRM SIC Q1=149.046 Q3=58.800 sample=43 experiment=1 RT=2.70 ce=-30.00 name=arabinose">658355</offset>
      <offset idRef="SRM SIC Q1=151.026 Q3=108.000 sample=43 experiment=1 RT=1.88 ce=-30.00 name=xanthine">674367</offset>
      <offset idRef="SRM SIC Q1=154.062 Q3=93.000 sample=43 experiment=1 RT=6.30 ce=-30.00 name=Histidine">690598</offset>
      <offset idRef="SRM SIC Q1=157.037 Q3=96.900 sample=43 experiment=1 RT=2.45 ce=-30.00 name=allantoin">706804</offset>
      <offset idRef="SRM SIC Q1=157.123 Q3=157.123 sample=43 experiment=1 RT=0.63 ce=-10.00 name=C9:0_pelargonic_acid">722888</offset>
      <offset idRef="SRM SIC Q1=160.062 Q3=99.800 sample=43 experiment=1 RT=4.27 ce=-45.00 name=2-aminoadipic_acid">738992</offset>
      <offset idRef="SRM SIC Q1=163.061 Q3=100.800 sample=43 experiment=1 RT=2.58 ce=-15.00 name=&quot;1,5-anhydroglucitol&quot;">755021</offset>
      <offset idRef="SRM SIC Q1=164.072 Q3=103.100 sample=43 experiment=1 RT=2.53 ce=-30.00 name=phenylalanine">771145</offset>
      <offset idRef="SRM SIC Q1=167.021 Q3=69.100 sample=43 experiment=1 RT=3.27 ce=-45.00 name=uric_acid">787331</offset>
      <offset idRef="SRM SIC Q1=173.082 Q3=111.000 sample=43 experiment=1 RT=3.58 ce=-30.00 name=Sebacic_acid写错，正确那个是suberic_acid">803454</offset>
      <offset idRef="SRM SIC Q1=174.041 Q3=88.000 sample=43 experiment=1 RT=4.25 ce=-30.00 name=N-acetyl-L-aspartic_acid">819493</offset>
      <offset idRef="SRM SIC Q1=174.057 Q3=130.066 sample=43 experiment=1 RT=1.74 ce=-15.00 name=Indole-3-acetic_acid">835486</offset>
      <offset idRef="SRM SIC Q1=174.088 Q3=131.000 sample=43 experiment=1 RT=3.98 ce=-30.00 name=Citrulline">851730</offset>
      <offset idRef="SRM SIC Q1=178.051 Q3=77.200 sample=43 experiment=1 RT=2.09 ce=-45.00 name=hippuric_acid">867811</offset>
      <offset idRef="SRM SIC Q1=178.072 Q3=58.800 sample=43 experiment=1 RT=4.11 ce=-45.00 name=mannosamine">883879</offset>
      <offset idRef="SRM SIC Q1=179.056 Q3=59.000 sample=43 experiment=1 RT=3.40 ce=-30.00 name=galactose__">899833</offset>
      <offset idRef="SRM SIC Q1=179.056 Q3=87.000 sample=43 experiment=1 RT=3.83 ce=-30.00 name=inositol">916121</offset>
      <offset idRef="SRM SIC Q1=180.067 Q3=93.100 sample=43 experiment=1 RT=3.28 ce=-45.00 name=tyrosine_">932154</offset>
      <offset idRef="SRM SIC Q1=188.056 Q3=58.000 sample=43 experiment=1 RT=4.11 ce=-45.00 name=N-acetyl-L-glutamic_acid">948226</offset>
      <offset idRef="SRM SIC Q1=188.071 Q3=144.081 sample=43 experiment=1 RT=1.31 ce=-15.00 name=3-Indolepropionic_acid">964118</offset>
      <offset idRef="SRM SIC Q1=191.020 Q3=191.020 sample=43 experiment=1 RT=5.43 ce=-30.00 name=citric_acid">980404</offset>
      <offset idRef="SRM SIC Q1=193.035 Q3=58.900 sample=43 experiment=1 RT=4.08 ce=-45.00 name=glucuronic_acid">996563</offset>
      <offset idRef="SRM SIC Q1=199.170 Q3=199.170 sample=43 experiment=1 RT=0.59 ce=-10.00 name=C12:0_lauric_acid">1012569</offset>
      <offset idRef="SRM SIC Q1=203.083 Q3=116.100 sample=43 experiment=1 RT=2.67 ce=-45.00 name=tryptophan">1028646</offset>
      <offset idRef="SRM SIC Q1=207.078 Q3=144.000 sample=43 experiment=1 RT=2.60 ce=-30.00 name=kynurenine">1044813</offset>
      <offset idRef="SRM SIC Q1=209.030 Q3=85.000 sample=43 experiment=1 RT=5.42 ce=-15.00 name=galactaric_acid">1060898</offset>
      <offset idRef="SRM SIC Q1=212.002 Q3=79.900 sample=43 experiment=1 RT=1.12 ce=-45.00 name=3-indoxyl_sulfate">1076898</offset>
      <offset idRef="SRM SIC Q1=218.103 Q3=88.000 sample=43 experiment=1 RT=2.85 ce=-15.00 name=pantothenic_acid">1093234</offset>
      <offset idRef="SRM SIC Q1=219.078 Q3=144.000 sample=43 experiment=1 RT=3.37 ce=-30.00 name=5-hydroxy-L-tryptophan">1109247</offset>
      <offset idRef="SRM SIC Q1=220.083 Q3=59.200 sample=43 experiment=1 RT=2.81 ce=-45.00 name=N-acetylglucosamine">1125208</offset>
      <offset idRef="SRM SIC Q1=227.202 Q3=227.202 sample=43 experiment=1 RT=0.57 ce=-10.00 name=C14:0_myristic_acid">1141266</offset>
      <offset idRef="SRM SIC Q1=239.017 Q3=119.900 sample=43 experiment=1 RT=5.34 ce=-15.00 name=L-cystine">1157317</offset>
      <offset idRef="SRM SIC Q1=241.217 Q3=241.217 sample=43 experiment=1 RT=0.56 ce=-10.00 name=C15:0_pentadecanoic_acid">1173603</offset>
      <offset idRef="SRM SIC Q1=243.062 Q3=110.000 sample=43 experiment=1 RT=1.85 ce=-30.00 name=Uridine">1189651</offset>
      <offset idRef="SRM SIC Q1=255.233 Q3=255.233 sample=43 experiment=1 RT=0.55 ce=-10.00 name=C16:0_palmitic_acid">1205809</offset>
      <offset idRef="SRM SIC Q1=259.022 Q3=78.800 sample=43 experiment=1 RT=4.46 ce=-45.00 name=D-fructose-6-phosphate">1221868</offset>
      <offset idRef="SRM SIC Q1=263.104 Q3=145.000 sample=43 experiment=1 RT=2.43 ce=-15.00 name=α-N-phenylacetyl-L-glutamine">1237953</offset>
      <offset idRef="SRM SIC Q1=266.090 Q3=134.200 sample=43 experiment=1 RT=1.65 ce=-30.00 name=adenosine">1254097</offset>
      <offset idRef="SRM SIC Q1=269.249 Q3=269.249 sample=43 experiment=1 RT=0.52 ce=-10.00 name=C17:0_heptadecanoic_acid">1270159</offset>
      <offset idRef="SRM SIC Q1=277.217 Q3=277.217 sample=43 experiment=1 RT=0.55 ce=-10.00 name=&quot;C18:3_n-3_(9Z,_12Z,_15Z)_alpha-linolenic_acid&quot;">1286191</offset>
      <offset idRef="SRM SIC Q1=282.084 Q3=191.900 sample=43 experiment=1 RT=2.80 ce=-30.00 name=8-hydroxy-2_-deoxyguanosine">1302268</offset>
      <offset idRef="SRM SIC Q1=283.264 Q3=283.264 sample=43 experiment=1 RT=0.54 ce=-10.00 name=C18:0_stearic_acid_">1318268</offset>
      <offset idRef="SRM SIC Q1=305.249 Q3=305.249 sample=43 experiment=1 RT=0.53 ce=-10.00 name=&quot;C20:3_n-6_8,11,14-eicostrienoic_acid&quot;">1334323</offset>
      <offset idRef="SRM SIC Q1=307.264 Q3=307.264 sample=43 experiment=1 RT=0.53 ce=-10.00 name=C20:2_eicosadienoic_acid">1350387</offset>
      <offset idRef="SRM SIC Q1=309.280 Q3=309.280 sample=43 experiment=1 RT=0.53 ce=-10.00 name=C20:1_eicosenoic_acid">1366407</offset>
      <offset idRef="SRM SIC Q1=343.125 Q3=59.000 sample=43 experiment=1 RT=3.80 ce=-45.00 name=maltitol">1382468</offset>
      <offset idRef="SRM SIC Q1=346.056 Q3=78.800 sample=43 experiment=1 RT=4.40 ce=-45.00 name=AMP_(adenosine_monophosphate)">1398461</offset>
      <offset idRef="SRM SIC Q1=361.202 Q3=331.300 sample=43 experiment=1 RT=0.59 ce=-15.00 name=cortisol_">1414401</offset>
      <offset idRef="SRM SIC Q1=391.285 Q3=345.400 sample=43 experiment=1 RT=0.81 ce=-45.00 name=deoxycholate">1430342</offset>
      <offset idRef="SRM SIC Q1=407.280 Q3=343.300 sample=43 experiment=1 RT=1.50 ce=-45.00 name=Cholate_">1446471</offset>
      <offset idRef="SRM SIC Q1=429.374 Q3=163.000 sample=43 experiment=1 RT=0.47 ce=-30.00 name=α-tocopherol">1462736</offset>
      <offset idRef="SRM SIC Q1=464.302 Q3=74.024 sample=43 experiment=1 RT=2.45 ce=-45.00 name=glycocholic_acid">1478664</offset>
      <offset idRef="SRM SIC Q1=498.290 Q3=498.290 sample=43 experiment=1 RT=1.60 ce=-10.00 name=Taurochenodeoxycholic_acid">1494710</offset>
      <offset idRef="SRM SIC Q1=258.252 Q3=258.252 sample=43 experiment=1 RT=0.53 ce=-10.00 name=FFA16:0-d3">1511180</offset>
      <offset idRef="SRM SIC Q1=411.306 Q3=347.300 sample=43 experiment=1 RT=1.50 ce=-45.00 name=cholic_acid-d4">1527194</offset>
      <offset idRef="SRM SIC Q1=183.082 Q3=82.000 sample=43 experiment=1 RT=2.10 ce=-30.00 name=hippuric_acid-d5">1543485</offset>
      <offset idRef="SRM SIC Q1=169.103 Q3=152.100 sample=43 experiment=1 RT=2.52 ce=-15.00 name=phenylalanine-d5">1559598</offset>
      <offset idRef="SRM SIC Q1=121.100 Q3=121.100 sample=43 experiment=1 RT=3.11 ce=-10.00 name=proline-d7">1575799</offset>
      <offset idRef="SRM SIC Q1=121.045 Q3=76.100 sample=43 experiment=1 RT=3.97 ce=-15.00 name=succinic_acid-13C4">1592129</offset>
      <offset idRef="SRM SIC Q1=150.093 Q3=131.100 sample=43 experiment=1 RT=3.80 ce=-15.00 name=glutamine-d5">1608118</offset>
    </index>
  </indexList>
  <indexListOffset>1624220</indexListOffset>
  <fileChecksum>3ED33D73AD06A4C4843CE6982D3C9961F4BE260F</fileChecksum>
</indexedmzML>