Gain deeper insights into traditional Chinese medicines using multidimensional chromatography combined with chemometric approaches

IF 4.7 4区 医学 Q1 CHEMISTRY, MEDICINAL
Xinyue Yang , Pingping Zeng , Jin Wen , Chuanlin Wang , Liangyuan Yao , Min He
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引用次数: 0

Abstract

Traditional Chinese medicines (TCMs) possess a rich historical background, unique theoretical framework, remarkable therapeutic efficacy, and abundant resources. However, the modernization and internationalization of TCMs have faced significant obstacles due to their diverse ingredients and unknown mechanisms. To gain deeper insights into the phytochemicals and ensure the quality control of TCMs, there is an urgent need to enhance analytical techniques. Currently, two-dimensional (2D) chromatography, which incorporates two independent separation mechanisms, demonstrates superior separation capabilities compared to the traditional one-dimensional (1D) separation system when analyzing TCMs samples. Over the past decade, new techniques have been continuously developed to gain actionable insights from complex samples. This review presents the recent advancements in the application of multidimensional chromatography for the quality evaluation of TCMs, encompassing 2D-gas chromatography (GC), 2D-liquid chromatography (LC), as well as emerging three-dimensional (3D)-GC, 3D-LC, and their associated data-processing approaches. These studies highlight the promising potential of multidimensional chromatographic separation for future phytochemical analysis. Nevertheless, the increased separation capability has resulted in higher-order data sets and greater demands for data-processing tools. Considering that multidimensional chromatography is still a relatively nascent research field, further hardware enhancements and the implementation of chemometric methods are necessary to foster its robust development.

利用多维色谱结合化学计量学方法深入了解传统中药
中药具有丰富的历史背景、独特的理论框架、显著的疗效和丰富的资源。然而,由于中药成分多样、机理不明,中药的现代化和国际化面临着巨大障碍。为了深入了解植物化学成分,确保中药的质量控制,迫切需要提高分析技术。目前,与传统的一维(1D)分离系统相比,包含两种独立分离机制的二维(2D)色谱法在分析中药样品时显示出更优越的分离能力。在过去十年中,人们不断开发新技术,以便从复杂样品中获得可行的见解。本综述介绍了应用多维色谱进行中药质量评估的最新进展,包括二维气相色谱 (GC)、二维液相色谱 (LC),以及新兴的三维 (3D)-GC 和 3D-LC 及其相关数据处理方法。这些研究凸显了多维色谱分离在未来植物化学分析中的巨大潜力。然而,分离能力的提高带来了更高阶的数据集,也对数据处理工具提出了更高的要求。考虑到多维色谱法仍是一个相对新兴的研究领域,有必要进一步改进硬件并实施化学计量学方法,以促进其稳健发展。
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
Chinese Herbal Medicines
Chinese Herbal Medicines CHEMISTRY, MEDICINAL-
CiteScore
4.40
自引率
5.30%
发文量
629
审稿时长
10 weeks
期刊介绍: Chinese Herbal Medicines is intended to disseminate the latest developments and research progress in traditional and herbal medical sciences to researchers, practitioners, academics and administrators worldwide in the field of traditional and herbal medicines. The journal's international coverage ensures that research and progress from all regions of the world are widely included. CHM is a core journal of Chinese science and technology. The journal entered into the ESCI database in 2017, and then was included in PMC, Scopus and other important international search systems. In 2019, CHM was successfully selected for the “China Science and Technology Journal Excellence Action Plan” project, which has markedly improved its international influence and industry popularity. CHM obtained the first impact factor of 3.8 in Journal Citation Reports (JCR) in 2023.
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