Identification of chemical ingredients of peanut stems and leaves extracts using UPLC-QTOF-MS coupled with novel informatics UNIFI platform
文献类型： 外文期刊
第一作者： Deng, Lei
作者： Deng, Lei;Shi, Ai-Min;Liu, Hong-Zhi;Liu, Li;Hu, Hui;Yang, Ying;Wang, Qiang;Meruva, Naren;Huang, Chun;Li, Peng
作者机构：
关键词： peanut stems and leaves;chemical ingredients;functional compounds;UPLC-QTOF-MS;UNIFI software and traditional medicine library
期刊名称：JOURNAL OF MASS SPECTROMETRY （ 影响因子：1.982； 五年影响因子：2.03 ）
ISSN：
年卷期：
页码：
收录情况： SCI
摘要： Peanut stems and leaves have been used traditionally as both herbal medicines and special food in Asia. In this study, the main functional compounds of peanut stems and leaves extracts were identified using UPLC separation coupled to high resolution mass spectrometry (QTOF-MS), and a traditional medicine library. Three different extraction solvents (ethyl acetate, petroleum ether and n-butanol) were evaluated to prepare the extracts of peanut stems and leaves. A total of 283 chemical compounds were identified in peanut stems and leaves extracts, of which 207 compounds are tentatively new identifications in Genus Arachis. The integration of data acquisition and processing with the traditional medicine library provides a simple, efficient process to effectively facilitate the identification of chemical ingredients in complex natural product extracts. The integrated workflow for separation, detection and identification of functional compounds in natural products using UPLC/QTOF-MS greatly improves productivity for development of traditional herbal medicines. Copyright (C) 2016 John Wiley & Sons, Ltd.
分类号： O65
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