Advanced Bionic Technology Combining Online Electrochemistry-Mass Spectrometry and Offline Electrochemistry-Liquid Chromatography-Mass Spectrometry for Simulating and Characterizing Metabolic Processes of Bioactive phenolic acids in Natural Products

IF 2.8 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL Journal of separation science Pub Date : 2024-11-08 DOI:10.1002/jssc.70006
Kunze Du, Man Yang, Wentao Ma, Tianyu Liu, Huihui Sun, Tengteng Huang, Jin Li, Yanxu Chang
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Abstract

The metabolism research of bioactive phenolic acids  widely found in natural products is of great significance for elucidating pharmacologic mechanisms and screening lead compounds. However, it is time-consuming and vulnerable to interference to conduct the traditional metabolism approach by applying organisms or biomaterials. Herein, a bionic technology was established by combining online electrochemistry-mass spectrometry (EC-MS) with offline electrochemistry-liquid chromatography-mass spectrometry (EC-LC-MS) to investigate the oxidative transformation and metabolic processes of the active phenolic acids (including salvianolic acid A, caffeic acid, 3, 5-O-dicaffeoylquinic acid, ferulic acid, salvianic acid A, and protocatechuic acid). Phase I metabolism of the phenolic acids were simulated by applying a three-electrode controlled potential electrochemical reactor with a boron-doped diamond electrode, with glutathione mixed into the oxidative products simultaneously for obtaining the phase II metabolites. Finally, structural characterization of the simulated metabolites of the phenolic acids was achieved successfully, including hydroxylation, methylation, demethylation, decarboxylation, etc. It was revealed that the simulated metabolism process based on an electrochemical system was effective in yielding a wide variety of metabolites for these compounds, which was also compared with the metabolism results applying rat liver microsomes. Consequently, this bionic technology is expected to be a powerful tool to investigate the material basis for the efficacy of active ingredients of natural products.

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结合在线电化学-质谱法和离线电化学-液相色谱-质谱法的先进仿生技术,用于模拟和表征天然产品中生物活性酚酸的代谢过程。
天然产物中广泛存在的生物活性酚酸的代谢研究对于阐明药理机制和筛选先导化合物具有重要意义。然而,利用生物或生物材料进行传统代谢研究既耗时又易受干扰。本文建立了一种仿生技术,将在线电化学-质谱法(EC-MS)与离线电化学-液相色谱-质谱法(EC-LC-MS)相结合,研究了活性酚酸(包括丹酚酸A、咖啡酸、3,5-O-二咖啡酰奎宁酸、阿魏酸、丹酚酸A和原儿茶酸)的氧化转化和代谢过程。通过使用带有掺硼金刚石电极的三电极可控电位电化学反应器模拟酚酸的第一阶段代谢,同时将谷胱甘肽混合到氧化产物中,以获得第二阶段代谢产物。最后,成功实现了酚酸类模拟代谢产物的结构表征,包括羟基化、甲基化、脱甲基化、脱羧化等。结果表明,基于电化学系统的模拟代谢过程能有效地产生这些化合物的多种代谢产物,并与应用大鼠肝脏微粒体的代谢结果进行了比较。因此,这项仿生技术有望成为研究天然产品活性成分功效物质基础的有力工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of separation science
Journal of separation science 化学-分析化学
CiteScore
6.30
自引率
16.10%
发文量
408
审稿时长
1.8 months
期刊介绍: The Journal of Separation Science (JSS) is the most comprehensive source in separation science, since it covers all areas of chromatographic and electrophoretic separation methods in theory and practice, both in the analytical and in the preparative mode, solid phase extraction, sample preparation, and related techniques. Manuscripts on methodological or instrumental developments, including detection aspects, in particular mass spectrometry, as well as on innovative applications will also be published. Manuscripts on hyphenation, automation, and miniaturization are particularly welcome. Pre- and post-separation facets of a total analysis may be covered as well as the underlying logic of the development or application of a method.
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