00060163H2O_ACN_1ppmAcCoA.mzML 772 KB
Newer Older
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
1296
1297
1298
1299
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
1328
1329
1330
1331
1332
1333
1334
1335
1336
1337
1338
1339
1340
1341
1342
1343
1344
1345
1346
1347
1348
1349
1350
1351
1352
1353
1354
1355
1356
1357
1358
1359
1360
1361
1362
1363
1364
1365
1366
1367
1368
1369
1370
1371
1372
1373
1374
1375
1376
1377
1378
1379
1380
1381
1382
1383
1384
1385
1386
1387
1388
1389
1390
1391
1392
1393
1394
1395
1396
1397
1398
1399
1400
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
1411
1412
1413
1414
1415
1416
1417
1418
1419
1420
1421
1422
1423
1424
1425
1426
1427
1428
1429
1430
1431
1432
1433
1434
1435
1436
1437
1438
1439
1440
1441
1442
1443
1444
1445
1446
1447
1448
1449
1450
1451
1452
1453
1454
1455
1456
1457
1458
1459
1460
1461
1462
1463
1464
1465
1466
1467
1468
1469
1470
1471
1472
1473
1474
1475
1476
1477
1478
1479
1480
1481
1482
1483
1484
1485
1486
1487
1488
1489
1490
1491
1492
1493
1494
1495
1496
1497
1498
1499
1500
1501
1502
1503
1504
1505
1506
1507
1508
1509
1510
1511
1512
1513
1514
1515
1516
1517
1518
1519
1520
1521
1522
1523
1524
1525
1526
1527
1528
1529
1530
1531
1532
1533
1534
1535
1536
1537
1538
1539
1540
1541
1542
1543
1544
1545
1546
1547
1548
1549
1550
1551
1552
1553
1554
1555
1556
1557
1558
1559
1560
1561
1562
1563
1564
1565
1566
1567
1568
1569
1570
1571
1572
1573
1574
1575
1576
1577
1578
1579
1580
1581
1582
1583
1584
1585
1586
1587
1588
1589
1590
1591
1592
1593
1594
1595
1596
1597
1598
1599
1600
1601
1602
1603
1604
1605
1606
1607
1608
1609
1610
1611
1612
1613
1614
1615
1616
1617
1618
1619
1620
1621
1622
1623
1624
1625
1626
1627
1628
1629
1630
1631
1632
1633
1634
1635
1636
1637
1638
1639
1640
1641
1642
1643
1644
1645
1646
1647
1648
1649
1650
1651
1652
1653
1654
1655
1656
1657
1658
1659
1660
1661
1662
1663
1664
1665
1666
1667
1668
1669
1670
1671
1672
1673
1674
1675
1676
1677
1678
1679
1680
1681
1682
1683
1684
1685
1686
1687
1688
1689
1690
1691
1692
1693
1694
1695
1696
1697
1698
1699
1700
1701
1702
1703
1704
1705
1706
1707
1708
1709
1710
1711
1712
1713
1714
1715
1716
1717
1718
1719
1720
1721
1722
1723
1724
1725
1726
1727
1728
1729
1730
1731
1732
1733
1734
1735
1736
1737
1738
1739
1740
1741
1742
1743
1744
1745
1746
1747
1748
1749
1750
1751
1752
1753
1754
1755
1756
1757
1758
1759
1760
1761
1762
1763
1764
1765
1766
1767
1768
1769
1770
1771
1772
1773
1774
1775
1776
1777
1778
1779
1780
1781
1782
1783
1784
1785
1786
1787
1788
1789
1790
1791
1792
1793
1794
1795
1796
1797
1798
1799
1800
1801
1802
1803
1804
1805
1806
1807
1808
1809
1810
1811
1812
1813
1814
1815
1816
1817
1818
1819
1820
1821
1822
1823
1824
1825
1826
1827
1828
1829
1830
1831
1832
1833
1834
1835
1836
1837
1838
1839
1840
1841
1842
1843
1844
1845
1846
1847
1848
1849
1850
1851
1852
1853
1854
1855
1856
1857
1858
1859
1860
1861
1862
1863
1864
1865
1866
1867
1868
1869
1870
1871
1872
1873
1874
1875
1876
1877
1878
1879
1880
1881
1882
1883
1884
1885
1886
1887
1888
1889
1890
1891
1892
1893
1894
1895
1896
1897
1898
1899
1900
1901
1902
1903
1904
1905
1906
1907
1908
1909
1910
1911
1912
1913
1914
1915
1916
1917
1918
1919
1920
1921
1922
1923
1924
1925
1926
1927
1928
1929
1930
1931
1932
1933
1934
1935
1936
1937
1938
1939
1940
1941
1942
1943
1944
1945
1946
1947
1948
1949
1950
1951
1952
1953
1954
1955
1956
1957
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
2049
2050
2051
2052
2053
2054
2055
2056
2057
2058
2059
2060
2061
2062
2063
2064
2065
2066
2067
2068
2069
2070
2071
2072
2073
2074
2075
2076
2077
2078
2079
2080
2081
2082
2083
2084
2085
2086
2087
2088
2089
2090
2091
2092
2093
2094
2095
2096
2097
2098
2099
2100
2101
2102
2103
2104
2105
2106
2107
2108
2109
2110
2111
2112
2113
2114
2115
2116
2117
2118
2119
2120
2121
2122
2123
2124
2125
2126
2127
2128
2129
2130
2131
2132
2133
2134
2135
2136
2137
2138
2139
2140
2141
2142
2143
2144
2145
2146
2147
2148
2149
2150
2151
2152
2153
2154
2155
2156
2157
2158
2159
2160
2161
2162
2163
2164
2165
2166
2167
2168
2169
2170
2171
2172
2173
2174
2175
2176
2177
2178
2179
2180
2181
2182
2183
2184
2185
2186
2187
2188
2189
2190
2191
2192
2193
2194
2195
2196
2197
2198
2199
2200
2201
2202
2203
2204
2205
2206
2207
2208
2209
2210
2211
2212
2213
2214
2215
2216
2217
2218
2219
2220
2221
2222
2223
2224
2225
2226
2227
2228
2229
2230
2231
2232
2233
2234
2235
2236
2237
2238
2239
2240
2241
2242
2243
2244
2245
2246
2247
2248
2249
2250
2251
2252
2253
2254
2255
2256
2257
2258
2259
2260
2261
2262
2263
2264
2265
2266
2267
2268
2269
2270
2271
2272
2273
2274
2275
2276
2277
2278
2279
2280
2281
2282
2283
2284
2285
2286
2287
2288
2289
2290
2291
2292
2293
2294
2295
2296
2297
2298
2299
2300
2301
2302
2303
2304
2305
2306
2307
2308
2309
2310
2311
2312
2313
2314
2315
2316
2317
2318
2319
2320
2321
2322
2323
2324
2325
2326
2327
2328
2329
2330
2331
2332
2333
2334
2335
2336
2337
2338
2339
2340
2341
2342
2343
2344
2345
2346
2347
2348
2349
2350
2351
2352
2353
2354
2355
2356
2357
2358
2359
2360
2361
2362
2363
2364
2365
2366
2367
2368
2369
2370
2371
2372
2373
2374
2375
2376
2377
2378
2379
2380
2381
2382
2383
2384
2385
2386
2387
2388
2389
2390
2391
2392
2393
2394
2395
2396
2397
2398
2399
2400
2401
2402
2403
2404
2405
2406
2407
2408
2409
2410
2411
2412
2413
2414
2415
2416
2417
2418
2419
2420
2421
2422
2423
2424
2425
2426
2427
2428
2429
2430
2431
2432
2433
2434
2435
2436
2437
2438
2439
2440
2441
2442
2443
2444
2445
2446
2447
2448
2449
2450
2451
2452
2453
2454
2455
2456
2457
2458
2459
2460
2461
2462
2463
2464
2465
2466
2467
2468
2469
2470
2471
2472
2473
2474
2475
2476
2477
2478
2479
2480
2481
2482
2483
2484
2485
2486
2487
2488
2489
2490
2491
2492
2493
2494
2495
2496
2497
2498
2499
2500
2501
2502
2503
2504
2505
2506
2507
2508
2509
2510
2511
2512
2513
2514
2515
2516
2517
2518
2519
2520
2521
2522
2523
2524
2525
2526
2527
2528
2529
2530
2531
2532
2533
2534
2535
2536
2537
2538
2539
2540
2541
2542
2543
2544
2545
2546
2547
2548
2549
2550
2551
2552
2553
2554
2555
2556
2557
2558
2559
2560
2561
2562
2563
2564
2565
2566
2567
2568
2569
2570
2571
2572
2573
2574
2575
2576
2577
2578
2579
2580
2581
2582
2583
2584
2585
2586
2587
2588
2589
2590
2591
2592
2593
2594
2595
2596
2597
2598
2599
2600
2601
2602
2603
2604
2605
2606
2607
2608
2609
2610
2611
2612
2613
2614
2615
2616
2617
2618
2619
2620
2621
2622
2623
2624
2625
2626
2627
2628
2629
2630
2631
2632
2633
2634
2635
2636
2637
2638
2639
2640
2641
2642
2643
2644
2645
2646
2647
2648
2649
2650
2651
2652
2653
2654
2655
2656
2657
2658
2659
2660
2661
2662
2663
2664
2665
2666
2667
2668
2669
2670
2671
2672
2673
2674
2675
2676
2677
2678
2679
2680
2681
2682
2683
2684
2685
2686
2687
2688
2689
2690
2691
2692
2693
2694
2695
2696
2697
2698
2699
2700
2701
2702
2703
2704
2705
2706
2707
2708
2709
2710
2711
2712
2713
2714
2715
2716
2717
2718
2719
2720
2721
2722
2723
2724
2725
2726
2727
2728
2729
2730
2731
2732
2733
2734
2735
2736
2737
2738
2739
2740
2741
2742
2743
2744
2745
2746
2747
2748
2749
2750
2751
2752
2753
2754
2755
2756
2757
2758
2759
2760
2761
2762
2763
2764
2765
2766
2767
2768
2769
2770
2771
2772
2773
2774
2775
2776
2777
2778
2779
2780
2781
2782
2783
2784
2785
2786
2787
2788
2789
2790
2791
2792
2793
2794
2795
2796
2797
2798
2799
2800
2801
2802
2803
2804
2805
2806
2807
2808
2809
2810
2811
2812
2813
2814
2815
2816
2817
2818
2819
2820
2821
2822
2823
2824
2825
2826
2827
2828
2829
2830
2831
2832
2833
2834
2835
2836
2837
2838
2839
2840
2841
2842
2843
2844
2845
2846
2847
2848
2849
2850
2851
2852
2853
2854
2855
2856
2857
2858
2859
2860
2861
2862
2863
2864
2865
2866
2867
2868
2869
2870
2871
2872
2873
2874
2875
2876
2877
2878
2879
2880
2881
2882
2883
2884
2885
2886
2887
2888
2889
2890
2891
2892
2893
2894
2895
2896
2897
2898
2899
2900
2901
2902
2903
2904
2905
2906
2907
2908
2909
2910
2911
2912
2913
2914
2915
2916
2917
2918
2919
2920
2921
2922
2923
2924
2925
2926
2927
2928
2929
2930
2931
2932
2933
2934
2935
2936
2937
2938
2939
2940
2941
2942
2943
2944
2945
2946
2947
2948
2949
2950
2951
2952
2953
2954
2955
2956
2957
2958
2959
2960
2961
2962
2963
2964
2965
2966
2967
2968
2969
2970
2971
2972
2973
2974
2975
2976
2977
2978
2979
2980
2981
2982
2983
2984
2985
2986
2987
2988
2989
2990
2991
2992
2993
2994
2995
2996
2997
2998
2999
3000
3001
3002
3003
3004
3005
3006
3007
3008
3009
3010
3011
3012
3013
3014
3015
3016
3017
3018
3019
3020
3021
3022
3023
3024
3025
3026
3027
3028
3029
3030
3031
3032
3033
3034
3035
3036
3037
3038
3039
3040
3041
3042
3043
3044
3045
3046
3047
3048
3049
3050
3051
3052
3053
3054
3055
3056
3057
3058
3059
3060
3061
3062
3063
3064
3065
3066
3067
3068
3069
3070
3071
3072
3073
3074
3075
3076
3077
3078
3079
3080
3081
3082
3083
3084
3085
3086
3087
3088
3089
3090
3091
3092
3093
3094
3095
3096
3097
3098
3099
3100
3101
3102
3103
3104
3105
3106
3107
3108
3109
3110
3111
3112
3113
3114
3115
3116
3117
3118
3119
3120
3121
3122
3123
3124
3125
3126
3127
3128
3129
3130
3131
3132
3133
3134
3135
3136
3137
3138
3139
3140
3141
3142
3143
3144
3145
3146
3147
3148
3149
3150
3151
3152
3153
3154
3155
3156
3157
3158
3159
3160
3161
3162
3163
3164
3165
3166
3167
3168
3169
3170
3171
3172
3173
3174
3175
3176
3177
3178
3179
3180
3181
3182
3183
3184
3185
3186
3187
3188
3189
3190
3191
3192
3193
3194
3195
3196
3197
3198
3199
3200
3201
3202
3203
3204
3205
3206
3207
3208
3209
3210
3211
3212
3213
3214
3215
3216
3217
3218
3219
3220
3221
3222
3223
3224
3225
3226
3227
3228
3229
3230
3231
3232
3233
3234
3235
3236
3237
3238
3239
3240
3241
3242
3243
3244
3245
3246
3247
3248
3249
3250
3251
3252
3253
3254
3255
3256
3257
3258
3259
3260
3261
3262
3263
3264
3265
3266
3267
3268
3269
3270
3271
3272
3273
3274
3275
3276
3277
3278
3279
3280
3281
3282
3283
3284
3285
3286
3287
3288
3289
3290
3291
3292
3293
3294
3295
3296
3297
3298
3299
3300
3301
3302
3303
3304
3305
3306
3307
3308
3309
3310
3311
3312
3313
3314
3315
3316
3317
3318
3319
3320
3321
3322
3323
3324
3325
3326
3327
3328
3329
3330
3331
3332
3333
3334
3335
3336
3337
3338
3339
3340
3341
3342
3343
3344
3345
3346
3347
3348
3349
3350
3351
3352
3353
3354
3355
3356
3357
3358
3359
3360
3361
3362
3363
3364
3365
3366
3367
3368
3369
3370
3371
3372
3373
3374
3375
3376
3377
3378
3379
3380
3381
3382
3383
3384
3385
3386
3387
3388
3389
3390
3391
3392
3393
3394
3395
3396
3397
3398
3399
3400
3401
3402
3403
3404
3405
3406
3407
3408
3409
3410
3411
3412
3413
3414
3415
3416
3417
3418
3419
3420
3421
3422
3423
3424
3425
3426
3427
3428
3429
3430
3431
3432
3433
3434
3435
3436
3437
3438
3439
3440
3441
3442
3443
3444
3445
3446
3447
3448
3449
3450
3451
3452
3453
3454
3455
3456
3457
3458
3459
3460
3461
3462
3463
3464
3465
3466
3467
3468
3469
3470
3471
3472
3473
3474
3475
3476
3477
3478
3479
3480
3481
3482
3483
3484
3485
3486
3487
3488
3489
3490
3491
3492
3493
3494
3495
3496
3497
3498
3499
3500
3501
3502
3503
3504
3505
3506
3507
3508
3509
3510
3511
3512
3513
3514
3515
3516
3517
3518
3519
3520
3521
3522
3523
3524
3525
3526
3527
3528
3529
3530
3531
3532
3533
3534
3535
3536
3537
3538
3539
3540
3541
3542
3543
3544
3545
3546
3547
3548
3549
3550
3551
3552
3553
3554
3555
3556
3557
3558
3559
3560
3561
3562
3563
3564
3565
3566
3567
3568
3569
3570
3571
3572
3573
3574
3575
3576
3577
3578
3579
3580
3581
3582
3583
3584
3585
3586
3587
3588
3589
3590
3591
3592
3593
3594
3595
3596
3597
3598
3599
3600
3601
3602
3603
3604
3605
3606
3607
3608
3609
3610
3611
3612
3613
3614
3615
3616
3617
3618
3619
3620
3621
3622
3623
3624
3625
3626
3627
3628
3629
3630
3631
3632
3633
3634
3635
3636
3637
3638
3639
3640
3641
3642
3643
3644
3645
3646
3647
3648
3649
3650
3651
3652
3653
3654
3655
3656
3657
3658
3659
3660
3661
3662
3663
3664
3665
3666
3667
3668
3669
3670
3671
3672
3673
3674
3675
3676
3677
3678
3679
3680
3681
3682
3683
3684
3685
3686
3687
3688
3689
3690
3691
3692
3693
3694
3695
3696
3697
3698
3699
3700
3701
3702
3703
3704
3705
3706
3707
3708
3709
3710
3711
3712
3713
3714
3715
3716
3717
3718
3719
3720
3721
3722
3723
3724
3725
3726
3727
3728
3729
3730
3731
3732
3733
3734
3735
3736
3737
3738
3739
3740
3741
3742
3743
3744
3745
3746
3747
3748
3749
3750
3751
3752
3753
3754
3755
3756
3757
3758
3759
3760
3761
3762
3763
3764
3765
3766
<?xml version="1.0" encoding="utf-8"?>
<indexedmzML xmlns="http://psi.hupo.org/ms/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/mzML1.1.2_idx.xsd">
  <mzML xmlns="http://psi.hupo.org/ms/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" id="CONVERT_00060163H2O_ACN_1ppmAcCoA" version="1.1.0">
    <cvList count="2">
      <cv id="MS" fullName="Proteomics Standards Initiative Mass Spectrometry Ontology" version="4.0.1" URI="http://psidev.cvs.sourceforge.net/*checkout*/psidev/psi/psi-ms/mzML/controlledVocabulary/psi-ms.obo"/>
      <cv id="UO" fullName="Unit Ontology" version="12:10:2011" URI="http://obo.cvs.sourceforge.net/*checkout*/obo/obo/ontology/phenotype/unit.obo"/>
    </cvList>
    <fileDescription>
      <fileContent>
        <cvParam cvRef="MS" accession="MS:1000235" name="total ion current chromatogram" value=""/>
        <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
      </fileContent>
      <sourceFileList count="22">
        <sourceFile id="DAD1.cg" name="DAD1.cg" location="file:///X:/converter/02906160401202/CONVERT_00060163H2O_ACN_1ppmAcCoA.d/AcqData">
          <cvParam cvRef="MS" accession="MS:1001508" name="Agilent MassHunter nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1001509" name="Agilent MassHunter format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="6e334e82e110cc5dac6829ec913b01fd82816a6c"/>
        </sourceFile>
        <sourceFile id="Worklist.xml" name="Worklist.xml" location="file:///X:/converter/02906160401202/CONVERT_00060163H2O_ACN_1ppmAcCoA.d/AcqData">
          <cvParam cvRef="MS" accession="MS:1001508" name="Agilent MassHunter nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1001509" name="Agilent MassHunter format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="bc58334f1cf51156a76f3e01f013283c0a5a7aee"/>
        </sourceFile>
        <sourceFile id="sample_info.xml" name="sample_info.xml" location="file:///X:/converter/02906160401202/CONVERT_00060163H2O_ACN_1ppmAcCoA.d/AcqData">
          <cvParam cvRef="MS" accession="MS:1001508" name="Agilent MassHunter nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1001509" name="Agilent MassHunter format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="0205787c03cf3fe278b1fd7aaa0fd262c34a8044"/>
        </sourceFile>
        <sourceFile id="MSActualDefs.xml" name="MSActualDefs.xml" location="file:///X:/converter/02906160401202/CONVERT_00060163H2O_ACN_1ppmAcCoA.d/AcqData">
          <cvParam cvRef="MS" accession="MS:1001508" name="Agilent MassHunter nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1001509" name="Agilent MassHunter format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="9765a5969c04cbf92a86dd640770e50bf673161a"/>
        </sourceFile>
        <sourceFile id="MSScan.xsd" name="MSScan.xsd" location="file:///X:/converter/02906160401202/CONVERT_00060163H2O_ACN_1ppmAcCoA.d/AcqData">
          <cvParam cvRef="MS" accession="MS:1001508" name="Agilent MassHunter nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1001509" name="Agilent MassHunter format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="764ac8484fc3cf62500881c97a6a22d97f8e6ca0"/>
        </sourceFile>
        <sourceFile id="MSTS.xml" name="MSTS.xml" location="file:///X:/converter/02906160401202/CONVERT_00060163H2O_ACN_1ppmAcCoA.d/AcqData">
          <cvParam cvRef="MS" accession="MS:1001508" name="Agilent MassHunter nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1001509" name="Agilent MassHunter format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="35b5655a97f690a887e0bbe4ea32fce807762641"/>
        </sourceFile>
        <sourceFile id="MSPeriodicActuals.bin" name="MSPeriodicActuals.bin" location="file:///X:/converter/02906160401202/CONVERT_00060163H2O_ACN_1ppmAcCoA.d/AcqData">
          <cvParam cvRef="MS" accession="MS:1001508" name="Agilent MassHunter nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1001509" name="Agilent MassHunter format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="d97cd0cb4a1c573cfefa2165f232ed581e7a9f26"/>
        </sourceFile>
        <sourceFile id="HiP-ALS1.cd" name="HiP-ALS1.cd" location="file:///X:/converter/02906160401202/CONVERT_00060163H2O_ACN_1ppmAcCoA.d/AcqData">
          <cvParam cvRef="MS" accession="MS:1001508" name="Agilent MassHunter nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1001509" name="Agilent MassHunter format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="dff81b64db2286c92b2995218bec6d046de9f2f4"/>
        </sourceFile>
        <sourceFile id="Devices.xml" name="Devices.xml" location="file:///X:/converter/02906160401202/CONVERT_00060163H2O_ACN_1ppmAcCoA.d/AcqData">
          <cvParam cvRef="MS" accession="MS:1001508" name="Agilent MassHunter nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1001509" name="Agilent MassHunter format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="89294bc740670bbab11826e5495f1bd4730d58d3"/>
        </sourceFile>
        <sourceFile id="DeviceConfigInfo.xml" name="DeviceConfigInfo.xml" location="file:///X:/converter/02906160401202/CONVERT_00060163H2O_ACN_1ppmAcCoA.d/AcqData">
          <cvParam cvRef="MS" accession="MS:1001508" name="Agilent MassHunter nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1001509" name="Agilent MassHunter format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="283206025e513fcc1361fb2a3b20fa08756e0764"/>
        </sourceFile>
        <sourceFile id="atunes.tune.xml" name="atunes.tune.xml" location="file:///X:/converter/02906160401202/CONVERT_00060163H2O_ACN_1ppmAcCoA.d/AcqData">
          <cvParam cvRef="MS" accession="MS:1001508" name="Agilent MassHunter nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1001509" name="Agilent MassHunter format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="1b091c694600914083496da19ebac3af53bc8144"/>
        </sourceFile>
        <sourceFile id="DAD1.cd" name="DAD1.cd" location="file:///X:/converter/02906160401202/CONVERT_00060163H2O_ACN_1ppmAcCoA.d/AcqData">
          <cvParam cvRef="MS" accession="MS:1001508" name="Agilent MassHunter nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1001509" name="Agilent MassHunter format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="0574ada015b7475e48460176147f8011efcf7a32"/>
        </sourceFile>
        <sourceFile id="BinPump1.cd" name="BinPump1.cd" location="file:///X:/converter/02906160401202/CONVERT_00060163H2O_ACN_1ppmAcCoA.d/AcqData">
          <cvParam cvRef="MS" accession="MS:1001508" name="Agilent MassHunter nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1001509" name="Agilent MassHunter format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="95692b2438ebb8ad352633253bc03a0870b35ec3"/>
        </sourceFile>
        <sourceFile id="MSPeak.bin" name="MSPeak.bin" location="file:///X:/converter/02906160401202/CONVERT_00060163H2O_ACN_1ppmAcCoA.d/AcqData">
          <cvParam cvRef="MS" accession="MS:1001508" name="Agilent MassHunter nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1001509" name="Agilent MassHunter format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="248c31a7c86029e305c56c7049802da0468c909b"/>
        </sourceFile>
        <sourceFile id="BinPump1.cg" name="BinPump1.cg" location="file:///X:/converter/02906160401202/CONVERT_00060163H2O_ACN_1ppmAcCoA.d/AcqData">
          <cvParam cvRef="MS" accession="MS:1001508" name="Agilent MassHunter nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1001509" name="Agilent MassHunter format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="f7ae6080095b4097a9a17d03c8b5b0b510230d9d"/>
        </sourceFile>
        <sourceFile id="Contents.xml" name="Contents.xml" location="file:///X:/converter/02906160401202/CONVERT_00060163H2O_ACN_1ppmAcCoA.d/AcqData">
          <cvParam cvRef="MS" accession="MS:1001508" name="Agilent MassHunter nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1001509" name="Agilent MassHunter format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="551d8de6d2cf2b299c1c1c870b28750948a172c6"/>
        </sourceFile>
        <sourceFile id="MSTree2.bin" name="MSTree2.bin" location="file:///X:/converter/02906160401202/CONVERT_00060163H2O_ACN_1ppmAcCoA.d/AcqData">
          <cvParam cvRef="MS" accession="MS:1001508" name="Agilent MassHunter nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1001509" name="Agilent MassHunter format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="c53b3386e44221ba329ef623341941d503966c7a"/>
        </sourceFile>
        <sourceFile id="HiP-ALS1.cg" name="HiP-ALS1.cg" location="file:///X:/converter/02906160401202/CONVERT_00060163H2O_ACN_1ppmAcCoA.d/AcqData">
          <cvParam cvRef="MS" accession="MS:1001508" name="Agilent MassHunter nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1001509" name="Agilent MassHunter format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="1cd5c440bbafa4c61f309ea0d6e743e7106e1a26"/>
        </sourceFile>
        <sourceFile id="TCC1.cg" name="TCC1.cg" location="file:///X:/converter/02906160401202/CONVERT_00060163H2O_ACN_1ppmAcCoA.d/AcqData">
          <cvParam cvRef="MS" accession="MS:1001508" name="Agilent MassHunter nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1001509" name="Agilent MassHunter format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="cb37ab1a592139f50c2cee268bf230772ae56b03"/>
        </sourceFile>
        <sourceFile id="TCC1.cd" name="TCC1.cd" location="file:///X:/converter/02906160401202/CONVERT_00060163H2O_ACN_1ppmAcCoA.d/AcqData">
          <cvParam cvRef="MS" accession="MS:1001508" name="Agilent MassHunter nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1001509" name="Agilent MassHunter format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="7eb234e41b4cfa9e94e6ab5dd51cb02949b1d709"/>
        </sourceFile>
        <sourceFile id="MSScan.bin" name="MSScan.bin" location="file:///X:/converter/02906160401202/CONVERT_00060163H2O_ACN_1ppmAcCoA.d/AcqData">
          <cvParam cvRef="MS" accession="MS:1001508" name="Agilent MassHunter nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1001509" name="Agilent MassHunter format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="eb8571237fe22d9204e8966826666daf79a12f89"/>
        </sourceFile>
        <sourceFile id="AcqMethod.xml" name="AcqMethod.xml" location="file:///X:/converter/02906160401202/CONVERT_00060163H2O_ACN_1ppmAcCoA.d/AcqData">
          <cvParam cvRef="MS" accession="MS:1001508" name="Agilent MassHunter nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1001509" name="Agilent MassHunter format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="1b2cee62626b42c15cd4bf67d9962b874f101626"/>
        </sourceFile>
      </sourceFileList>
    </fileDescription>
    <referenceableParamGroupList count="1">
      <referenceableParamGroup id="CommonInstrumentParams">
        <cvParam cvRef="MS" accession="MS:1000490" name="Agilent instrument model" value=""/>
        <userParam name="instrument model" value="TandemQuadrupole"/>
      </referenceableParamGroup>
    </referenceableParamGroupList>
    <softwareList count="2">
      <software id="MassHunter" version="7.0">
        <cvParam cvRef="MS" accession="MS:1000678" name="MassHunter Data Acquisition" value=""/>
      </software>
      <software id="pwiz" version="3.0.10200">
        <cvParam cvRef="MS" accession="MS:1000615" name="ProteoWizard software" value=""/>
      </software>
    </softwareList>
    <instrumentConfigurationList count="1">
      <instrumentConfiguration id="IC1">
        <referenceableParamGroupRef ref="CommonInstrumentParams"/>
        <componentList count="5">
          <source order="1">
            <cvParam cvRef="MS" accession="MS:1000397" name="microelectrospray" value=""/>
            <cvParam cvRef="MS" accession="MS:1000057" name="electrospray inlet" value=""/>
          </source>
          <analyzer order="2">
            <cvParam cvRef="MS" accession="MS:1000081" name="quadrupole" value=""/>
          </analyzer>
          <analyzer order="3">
            <cvParam cvRef="MS" accession="MS:1000081" name="quadrupole" value=""/>
          </analyzer>
          <analyzer order="4">
            <cvParam cvRef="MS" accession="MS:1000081" name="quadrupole" value=""/>
          </analyzer>
          <detector order="5">
            <cvParam cvRef="MS" accession="MS:1000253" name="electron multiplier" value=""/>
          </detector>
        </componentList>
        <softwareRef ref="MassHunter"/>
      </instrumentConfiguration>
    </instrumentConfigurationList>
    <dataProcessingList count="1">
      <dataProcessing id="pwiz_Reader_Agilent_conversion">
        <processingMethod order="0" softwareRef="pwiz">
          <cvParam cvRef="MS" accession="MS:1000544" name="Conversion to mzML" value=""/>
        </processingMethod>
      </dataProcessing>
    </dataProcessingList>
    <run id="CONVERT_00060163H2O_ACN_1ppmAcCoA" defaultInstrumentConfigurationRef="IC1" startTimeStamp="2021-03-30T09:44:49Z" defaultSourceFileRef="MSScan.bin">
      <chromatogramList count="109" defaultDataProcessingRef="pwiz_Reader_Agilent_conversion">
        <chromatogram index="0" id="TIC" defaultArrayLength="24199">
          <cvParam cvRef="MS" accession="MS:1000235" name="total ion current chromatogram" value=""/>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="103020">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="96164">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="1" id="SRM SIC Q1=116.1 Q3=29.996 start=0.05981666667 end=6.493666667" defaultArrayLength="356">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="116.1" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" value=""/>
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="30.0"/>
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="29.996" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="1752">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="1600">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="2" id="SRM SIC Q1=116.1 Q3=42.996 start=0.05981666667 end=6.493666667" defaultArrayLength="356">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="116.1" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" value=""/>
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="30.0"/>
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="42.996" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="1752">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="1644">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="3" id="SRM SIC Q1=118.1 Q3=54.996 start=0.0595 end=6.49335" defaultArrayLength="356">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="118.1" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" value=""/>
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="22.0"/>
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="54.996" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="1756">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="1500">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="4" id="SRM SIC Q1=118.1 Q3=71.996 start=0.0595 end=6.49335" defaultArrayLength="356">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="118.1" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" value=""/>
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="10.0"/>
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="71.996" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="1756">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="1572">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="5" id="SRM SIC Q1=120.1 Q3=73.996 start=0.05923333333 end=6.493083333" defaultArrayLength="356">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="120.1" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" value=""/>
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="15.0"/>
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="73.996" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="1760">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="1736">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>eJwVUnlMVHcQdjnq8RDRuogB3FW04NN64OLR6GKdmd8DJKZ0rQVlTa3VTTWmBW29qNFWVxTSPIwtckRQskqUZm3FYy2XvqWpwC4gYB8WsC71KCzWqLCeTX/+MZm833wz3zffPPFVLRp2h5I7qB2tyztRCfwJ5U/XojNuFaq9dkz4fDjZdUlk7JnJ9i0IkEJbdkl2PC+Fh7dJJ7/olKpeVUqLlWzJ8l+SVPI4RLIdvMTM3d8zedIaZn8yhQm9AnM/e0meVf0kb+wjYd49coQOkprzmoSzGqZf95Tk3zrJ2lZF4tITlJWdT7ppx8jzYT45Go6SfOoI584l3T+HyfToAOm1e8h8aT05NyST46JI9u2RZFMnkm3vdLLtWErOyBTeu5KULctITI8moWQU2VqG0NjXje7iDvTFuNE2rB0zRz9Acb9AjhVhpEnQkTJaS6ZzY8jQqCFfzGO0nr2N2po21O5RUDOnGZUt4aTRl5O3v4SppXGS/5Hj0pq0DmmR/4AUWd0jjWz+Wdp3Y7uUs2maFPp+D9MUZzO7/QPm/nsiMz95SpkpCumqiylx3ddk+iSB+y2SuTma7CUZpAlqIlNwEPO+jGaWTe8y2zYtc1y8RZ5vy8g350uyGIlsIbGU5Ywiw9shZLnoR8bVf6EhSkHTiAqez2DCnVI0tJWgbrAAvVfzsOj5FjSPWcNvuhyFBWmopwyUY3PRmFSAYlcRZpiLUD1/gntRic7BBrS1DKAnKYhEQwoZ/C+RbWgqK3QdZMqBy8x6o5upFi8LPdbP4tPuMWPen8yq1jLt/jKW8dkhJhavZ5n9qUyTmsq8lMwcFYuYmCwyNT6CKbVaZqwJYoWa0cz6bzATNoQxx+VxzCAFMnntDTIet5G7Mo3cR6dSaLAPHe521P+goGPFVbS+rOF3uo2qIpB2/mzyvEglOXYrFR3aTQM7t5Fj/mYSc9PJAMnk3bmYvK3zSBa5pxMmkdoYRb6WyaR0RJJr/3gSfCMovu8hWt7pRuN7jWgrdaL63RX0qRXoTi/n9z7DcykOlR9B04M8zOjORbEqF82381E7qxC9KTn8+xvMNKdj4r4l3K9Z/F+KRXv0XNRPW8h9jkcxfSna5Hj0ZS9Ca04cKh/NRPnadN4bgXbLBM4dhubZOo6ZioVpc9CbNxeF/Bm8L5bfLhaNh2N4fQoWFoxHedlIzhGMprAItJ2L4HcLR1fFONQdENAqBKJndeAbX1AsHoWmhQGoD3wO7uQ+CJ31AIQ/fLC73Q+Vr4JRLQtB4yZ/zFo5CJmvh8Aw7y5ktfvALg3BQGs/aPZ6Ib7hGVg2+mHC5FGY8fot9LwYBNPlXhDyW2Bg7F2IP/wCxMUj0NgQgK6ZAZi5ZACsmx9CUdp90Nd3gWlhNxjOd4JzsB3MzR7wld8HJa4BhAn1kFldxWuVUFRQz3W1gBjRAY5JLiicWAeauitge+TifV1Q1NkD8rVekP1UyFrp4lobebgh8Y4KalQXn3GTY9xc55u4DvK3DVyjm+/SyrMC7twaMI+pB19MC4/fwbSjFjxX7HzfU+DNK+W4Cj7rF/CmXIDEE9Vg2FoN3rEKKBfq+bwmED52gp4coBl2inOdBXlZHWgfNnMNHdxXD6+3cexVUMtu8rdbkDX+Og8n2A86wTrjGt+zketsA/0BFyROruKYX8Gzq57zNIG1XwVnXA9kHW3l/U1gH14HYnoFOHpOcm2nOeY0uJt6+d4/wv+YOXws</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="6" id="SRM SIC Q1=120.1 Q3=101.996 start=0.05923333333 end=6.493083333" defaultArrayLength="356">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="120.1" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" value=""/>
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="15.0"/>
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="101.996" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="1760">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="1652">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="7" id="SRM SIC Q1=121.1 Q3=44.996 start=0.05906666667 end=6.492916667" defaultArrayLength="356">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="121.1" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" value=""/>
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="30.0"/>
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="44.996" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="1760">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="1504">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="8" id="SRM SIC Q1=123.1 Q3=75.996 start=0.05891666667 end=6.49275" defaultArrayLength="356">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="123.1" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" value=""/>
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="10.0"/>
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="75.996" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="1756">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="1560">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="9" id="SRM SIC Q1=124.1 Q3=105.996 start=0.05875 end=6.4926" defaultArrayLength="356">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="124.1" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" value=""/>
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="15.0"/>
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="105.996" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="1748">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="1532">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="10" id="SRM SIC Q1=132.1 Q3=42.996 start=0.05828333333 end=6.492116667" defaultArrayLength="356">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="132.1" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" value=""/>
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="26.0"/>
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="42.996" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="1744">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="1596">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="11" id="SRM SIC Q1=132.1 Q3=68.996 start=0.05828333333 end=6.492116667" defaultArrayLength="356">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="132.1" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" value=""/>
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="18.0"/>
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="68.996" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="1744">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="1408">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="12" id="SRM SIC Q1=132.1 Q3=85.996 start=0.05818333333 end=6.492033333" defaultArrayLength="356">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="132.1" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" value=""/>
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="10.0"/>
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="85.996" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="1760">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="1588">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="13" id="SRM SIC Q1=132.1 Q3=85.996 start=0.05828333333 end=6.492116667" defaultArrayLength="356">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="132.1" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" value=""/>
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="10.0"/>
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="85.996" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="1744">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="1580">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="14" id="SRM SIC Q1=133.1 Q3=69.996 start=0.05786666667 end=6.4917" defaultArrayLength="356">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="133.1" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" value=""/>
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="18.0"/>
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="69.996" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="1760">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="1472">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>eJwdlHtMlWUcx6MkjcOCg6ARlwMiFw8XRdFJR6C930NyMeKSoMlBWMQhPW5wBGpAG0jCQBNMlxPWZelJu7IwF6y5NS5rEyRtK/mDtmCL2sDF2ghqrvrAH2fve57n93x/38vvfYoGLeoxypVVEausmXj1Xn5S7fO3jfb5PmPqSo9hLf3KiDg9ZdSmBSnlRpyGwneqNi1akweCle6zQQ6/x9T/nZdmG300Uu+vqSgza/66MxGg88PLhjtt3siaeVRTV+Kpz1T2zFHw6/hVKb2rQp7FfDVflIr27lB2RZZGljKp3a/249nqGbZpOS5NzjkDjrkylfBeZYNDBD228oxifQv1sdTtBSNTQ+89J0/NPjUH7gJrjyK8C9g/pojTTVq+7tLsP3b1BseBE6SFAjM6QqhPZn+1/260Jcg6Ha/aW4nqu5yHnlK0FcPdxn/JdH8XvPZwfhu9QlhbMZoDV4yReh96boJPAD1W/Umh9/Pq339Y1tISuBWi/UVwDrFXK69HXkNXCfi5cnSnU5uJ5kNg16gvuA5fGqg5CbcGtFbp6o4WcNrl+L4LzA45Pzovr2/b4NaKnlPwbwCrHH4O1lxK2dXIeyvYzXB1yaulGp+PwbceHi5NTrxK3QHyTiX7JLyNkcU7HP1b4JIMt1TyfpneblkyT8kZ06n2+Ivw+RB9Ayp6/RP0ezTp+zG6B+D6NXmOk+vPYP2hqzVe9r+ub7b3Hg62exbD7J78TfaiFbPdMvaEvWf4cbvDb0FDZXdlGbtGnwaysnL2b2O2cc5YKLhrUANmDLMljS41sdeLb+9rwdyPR1+i71OZLg3IfWtSKSfHyewnjd78Ucu/36ZuSLVv3ETbNd770P6ugpJ6mc8LSs/phnsnujrw502N7O4EowEOdXjlXvPUMvYO/nxOVjc49wG5nNNovRv/XyKbPHQe4X8lXlaCX8kclsGnmmc5uEc5dwTeOeSSgJ+R+B/NeyLv8XgWCWYYWP7M32Z+oXgazblwfEuEcwJzmMoc8a1U5Grh3gv0rERjK/hta1mb7jeRTzk52sDJJ8dyvCpTRtdxeDipy1mbK+t0HlkVM0sFcqdl43ES66Hw8ENvIDxNfBtm+CTBy7Y2557FE+iqBncV0wmPg/jjQk8da/Xs15FBC1w78KFTXs+e0x3fC5w/Q/9X8KqE9VRmLZJfAmcPcq+0oeMtPL2k/o6zKhp04XUhfffxTVqZt+14EAO+iefT8F/P9xeMt9vpm6EH905w5m1m/gwaOsGtZu8p5u4HI+iLb7hfPmNmxo3Jif+MofBo/M5BbyG988Cyg78T3Fi8SeAZBveN9FqHzl8NR/efRtFgCPPFvbHo0IOCajwqBt+G9lB6xfHtRrEfSUaRnEtm7Zm1zLMrStGawzr3h/c28DdQ50uGZmrWM7f/cv89NJxVc8z1b0aGzxJ36UPDOr2ODAPI0kIWW+Fahfe/wGOj/gfMaC5H</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="15" id="SRM SIC Q1=133.1 Q3=116.096 start=0.05786666667 end=6.4917" defaultArrayLength="356">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="133.1" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" value=""/>
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="18.0"/>
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="116.096" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="1760">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="1576">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="16" id="SRM SIC Q1=136.1 Q3=40.096 start=0.05755 end=6.491383333" defaultArrayLength="356">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="136.1" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" value=""/>
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="28.0"/>
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="40.096" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="1736">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="1632">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="17" id="SRM SIC Q1=136.1 Q3=118.996 start=0.05755 end=6.491383333" defaultArrayLength="356">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="136.1" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" value=""/>
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="28.0"/>
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="118.996" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="1736">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="1716">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="18" id="SRM SIC Q1=138.1 Q3=45.996 start=0.05723333333 end=6.491066667" defaultArrayLength="356">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="138.1" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" value=""/>
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="26.0"/>
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="45.996" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="1760">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="1572">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="19" id="SRM SIC Q1=138.1 Q3=73.996 start=0.05713333333 end=6.490966667" defaultArrayLength="356">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="138.1" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" value=""/>
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="18.0"/>
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="73.996" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="1752">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="1716">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="20" id="SRM SIC Q1=138.1 Q3=73.996 start=0.05723333333 end=6.491066667" defaultArrayLength="356">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="138.1" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" value=""/>
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="18.0"/>
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="73.996" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="1760">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="1704">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="21" id="SRM SIC Q1=141.1 Q3=123.996 start=0.05696666667 end=6.490816667" defaultArrayLength="356">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="141.1" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" value=""/>
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="28.0"/&