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Discovery of bioactive-chemical Q-markers of Acanthopanax sessiliflorus leaves: An integrated strategy of plant metabolomics, fingerprint and spectrum-efficacy relationship research

绿原酸 代谢组学 金丝桃苷 咖啡酸 化学 指纹(计算) 色谱法 生物化学 抗氧化剂 槲皮素 计算机安全 计算机科学
作者
Yang Liu,Liwei Zhang,Qiuyu Li,Tianyi Xue,Feng Qin,Zhili Xiong
出处
期刊:Journal of Chromatography B [Elsevier BV]
卷期号:1233: 124009-124009 被引量:3
标识
DOI:10.1016/j.jchromb.2024.124009
摘要

An integrated bioactive-chemical quality markers (Q-markers) discovery strategy, which was based on the LC-MS plant metabolomics, HPLC fingerprint as well as the chemical spectrum-efficacy relationships, was designed to develop a methodology for accurate and comprehensive evaluation of the quality of Acanthopanax sessiliflorus leaves (ASL). Firstly, a high resolution and sensitivity UHPLC-Q-Orbitrap MS method was used for plant metabolomics analysis to obtain component characterization and screen potential chemical markers that differentiate between different harvesting periods. A total of 53 chemical components were identified, and 8 potential chemical markers were discovered, such as sucrose, maltol and phenylalanine. Secondly, a selective HPLC fingerprint analysis of ASL and its pancreatic lipase activity assay method was successfully investigated in vitro. In the study of chemical spectrum-efficacy relationships, neochlorogenic acid, chlorogenic acid, caffeic acid and hyperoside were screened and showed the inhibited pancreatic lipase activity with IC50 values, 0.16 ± 0.01, 0.13 ± 0.01, 0.31 ± 0.01, and 0.44 ± 0.02 mg/mL, respectively, which indicated the above four constituents were selected as the bioactive-chemical Q-markers of ASL. Finally, an accurate and reliable quantitative HPLC assay was developed and validated for simultaneous determination of four bioactive-chemical Q-markers in ASL, and their content levels in ASL varied widely in different harvesting periods. The systematic and efficient screening strategy for bioactive-chemical Q-markers in this study, based on " LC-MS plant metabolomics, HPLC fingerprint, and spectrum-efficacy relationships," could have effectively improved the quality assessment level of ASL.
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