期刊
FOOD CHEMISTRY
卷 227, 期 -, 页码 444-452出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2017.01.119
关键词
MS/MS similarity networking; Target-precursor list; Triterpene saponins; Eleutherococcus senticosus
资金
- JSPS KAKENHI Grant [JP15H05268]
- AMED (Research on Development of New Drug) [JP15ak0101034h0001]
- Grants-in-Aid for Scientific Research [26460119, 15H05268] Funding Source: KAKEN
The targeted mass information of compounds accelerated their discovery in a large volume of untargeted MS data. An MS/MS similarity networking is advanced in clustering the structural analogues, which benefits the collection of mass information of similar compounds. The triterpene saponins extracted from Eleutherococcus senticosus leaves (ESL), a kind of functional tea, have shown promise in the relief of Alzheimer's disease. In this work, a target-precursor list (TPL) generated using MS/MS similarity networking was employed to rapidly trace 106 triterpene saponins from the aqueous extracts of ESL, of which 49 were tentatively identified as potentially new triterpene saponins. Moreover, a compound database of triterpene saponins was established and successfully applied to uncover their distribution features in ESL samples collected from different areas. (C) 2017 Elsevier Ltd. All rights reserved.
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