Rapid profiling of polymeric phenolic acids in Salvia miltiorrhiza by hybrid data‐dependent/targeted multistage mass spectrometry acquisition based on expected compounds prediction and fragment ion searching

Phenolic acids are the major water‐soluble components in Salvia miltiorrhiza (>5%). According to previous studies, many of them contribute to the cardiovascular effects and antioxidant effects of S. miltiorrhiza. Polymeric phenolic acids can be considered as the tanshinol derived metabolites, e.g...

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Veröffentlicht in:Journal of separation science 2018-04, Vol.41 (8), p.1888-1895
Hauptverfasser: Shen, Yao, Feng, Zijin, Yang, Min, Zhou, Zhe, Han, Sumei, Hou, Jinjun, Li, Zhenwei, Wu, Wanying, Guo, De‐an
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Sprache:eng
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Zusammenfassung:Phenolic acids are the major water‐soluble components in Salvia miltiorrhiza (>5%). According to previous studies, many of them contribute to the cardiovascular effects and antioxidant effects of S. miltiorrhiza. Polymeric phenolic acids can be considered as the tanshinol derived metabolites, e.g., dimmers, trimers, and tetramers. A strategy combined with tanshinol‐based expected compounds prediction, total ion chromatogram filtering, fragment ion searching, and parent list‐based multistage mass spectrometry acquisition by linear trap quadropole‐orbitrap Velos mass spectrometry was proposed to rapid profile polymeric phenolic acids in S. miltiorrhiza. More than 480 potential polymeric phenolic acids could be screened out by this strategy. Based on the fragment information obtained by parent list‐activated data dependent multistage mass spectrometry acquisition, 190 polymeric phenolic acids were characterized by comparing their mass information with literature data, and 18 of them were firstly detected from S. miltiorrhiza. Seven potential compounds were tentatively characterized as new polymeric phenolic acids from S. miltiorrhiza. This strategy facilitates identification of polymeric phenolic acids in complex matrix with both selectivity and sensitivity, which could be expanded for rapid discovery and identification of compounds from complex matrix.
ISSN:1615-9306
1615-9314
DOI:10.1002/jssc.201701134