Systematic characterization and identification of the chemical constituents of the Schisandra chinensis decoction based on a hybrid scanning technique of UHPLC/IM-QTOF-MS
10.16438/j.0513-4870.2023-0726
- VernacularTitle:基于UHPLC/IM-QTOF-MS联用组合式扫描技术的中药五味子水煎液中化学成分系统表征与鉴定
- Author:
Li-li HONG
;
Hong-da WANG
;
Xiao-yan XU
;
Wan-di HU
;
Jing-yuan LIU
;
Xiao-ying WANG
;
Xiu-mei GAO
;
Wen-zhi YANG
- Publication Type:Research Article
- Keywords:
italic>Schisandra chinensis;
ion mobility;
high-definition mass spectrometry;
hybrid mass spectrometric scan;
chemical constituent characterization
- From:
Acta Pharmaceutica Sinica
2024;58(3):678-692
- CountryChina
- Language:Chinese
-
Abstract:
italic>Schisandra chinensis is a traditional Chinese medicine with the functions of reinforcing deficiency, strengthening, and inducing astringency, appliable to treat the chronic cough and deficiency in breath, palpitation, and insomnia, etc. A hybrid mass spectrometry scanning strategy (high-definition data-independent/data-dependent acquisition, HDDIDDA), enabling the ion mobility separation and alternating data-independent acquisition/data-dependent acquisition, was established, which, in combination with in-house library-driven automatic peak annotation workflows facilitated by the UNIFI software, was utilized to systematically characterize the multi-classes of chemical components from S. chinensis. The use of an HSS T3 column (100 mm × 2.1 mm, 1.8 μm), 0.1% formic acid in H2O-acetonitrile as the mobile phase running at the flow rate of 0.3 mL·min-1, and column temperature at 35 ℃, could enable good separation of the S. chinensis components within 42 min. HDDIDDA scan in both the positive and negative ion modes was employed for data acquisition. Based on the automatic peak annotation, reference standards comparison, MS2 data interpretation, and literature analysis, we were able to identify or tentatively characterize 105 compounds in the S. chinensis decoction, involving 56 terpenoids, 42 lignans, five glycosides, one organic acid, and one flavonoid. HDDIDDA scanning can improve the coverage of data acquisition and improve the accuracy of identification, while CCS prediction analysis provides the possibility to distinguish isomers by the ion mobility technology. The results provide reference for the intelligent material basis research of TCM.
