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首页> 外文期刊>Journal of Chromatographic Science >Multidimensional information-based HPLC technologies to evaluate traditional Chinese medicine
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Multidimensional information-based HPLC technologies to evaluate traditional Chinese medicine

机译:基于多维信息的HPLC技术评估中药

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摘要

Traditional Chinese medicines (TCMs) are usually complex mixtures and contain hundreds of chemically different constituents, which make the quality control (QC) of crude drugs and their medical preparations extremely difficult. In the past years, with the rapid development of modern instrumental analysis and computer-aided data processing techniques, great progress has been made in the research of quality standards and the development of QC techniques. Among them, the use of the high-performance liquid chromatography (HPLC) technique is one of the best approaches because of its high separation efficiency. However, one-way separation, single detection methods or data processing cannot meet the needs of the QC of TCMs. Multidimensional information-based HPLC technologies such as two-dimensional HPLC, HPLC coupled with several different detection methods and HPLC fingerprint combined with multicomponent quantification have solved this problem with their comprehensive analysis; these methods have gradually been accepted by more researchers for further in-depth study. The present work provides an overview of the development of QC for TCMs based on HPLC technologies with modern hyphenated techniques, multiseparation methods and some common data processing methods in fingerprint spectra over the last six years.
机译:中药(TCM)通常是复杂的混合物,并且包含数百种化学上不同的成分,这使得原料药及其药物制剂的质量控制(QC)极为困难。近年来,随着现代仪器分析和计算机辅助数据处理技术的飞速发展,质量标准的研究和质量控制技术的发展取得了长足的进步。其中,高效液相色谱(HPLC)技术的使用由于其高分离效率是最好的方法之一。但是,单向分离,单一检测方法或数据处理无法满足中药质量控制的需求。基于多维信息的HPLC技术,例如二维HPLC,结合几种不同检测方法的HPLC和HPLC指纹图谱与多组分定量相结合,已通过全面分析解决了该问题。这些方法已逐渐被更多的研究者所接受,以进行进一步的深入研究。本工作概述了过去六年中基于HPLC技术,现代联用技术,多重分离方法和指纹谱中一些常见数据处理方法的中药质量控制的发展。

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