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Table 1 Screened potential Q-markers based on mean impact value

From: Integrating metabolomic data with machine learning approach for discovery of Q-markers from Jinqi Jiangtang preparation against type 2 diabetes

Selected compounds

Compound name

Formula

tR /min

Experimental m/z

Theoretical m/z

Common fragment ions

S1

Berberine

C20H18NO4

31.87

336.1216

336.123

321.1041, 320.0832, 306.0733, 304.0941, 292.0941

S2

Palmatine

C21H22NO4

30.34

352.1514

352.1543

338.1273, 337.1271, 336.1124, 322.1271, 308.1417, 291.1622

S3

Columbamine

C20H20NO4

24.85

338.1353

338.1387

324.1187, 323.1189, 308.1561, 306.0932, 294.1225, 293.0972

S4

Jatrorrhizine

C20H20NO4

25.64

338.1353

338.1387

324.1187, 323.1189, 308.1208, 295.1436

S5

Coptisine

C19H14NO4

26.47

320.089

320.0917

318.0861, 293.1106, 292.0846, 290.0876, 264.1363

S6

Epiberberine

C20H18NO4

25.31

336.1216

336.123

321.1094, 320.0993, 308.1068, 292.0815

S7

Berberubine

C19H16NO4

12.70

322.1064

322.1064

307.0826

S8

Ononin

C22H22O9

28.2

431.1305

431.1337

269.1364

S12

1-O-Caffeoylquinic acid

C16H18O9

16.21

355.099

355.0945

267.0846, 163.0635

S18

Demethyleneberberine

C19H18NO4

22.18

324.1209

324.1231

307.0814, 294.0844, 279.0705, 266.0983