Identification of chemical ingredients of peanut stems and leaves extracts using UPLC-QTOF-MS coupled with novel informatics UNIFI platform

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• 作者：Lei Deng ; Ai-Min Shi ; Hong-Zhi Liu ; Naren Meruva ; Li Liu ; Hui Hu ; Ying Yang ; Chun Huang ; Peng Li and Qiang Wang
• 刊名：Journal of Mass Spectrometry
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：51
• 期：12
• 页码：1157-1167
• 全文大小：714K
• ISSN：1096-9888c

文摘

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