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基于计算机的 Herbal Laxatives(芦荟、番泻叶、鼠李皮、巴戟天和大黄)苷元的 UHPLC 方法优化。

In-Silico UHPLC Method Optimization for Aglycones in the Herbal Laxatives Aloe barbadensis Mill., Cassia angustifolia Vahl Pods, Rhamnus frangula L. Bark, Rhamnus purshianus DC. Bark, and Rheum palmatum L. Roots.

机构信息

Phytopharmacy & Natural Products Research Group, Institute of Chemistry and Biotechnology, Zuerich University of Applied Sciences (ZHAW), CH-8820 Waedenswil, Switzerland.

出版信息

Molecules. 2017 Oct 27;22(11):1838. doi: 10.3390/molecules22111838.

Abstract

For the European Pharmacopoeia (Ph. Eur.) herbal monograph draft of Vahl. and L. leaves and pods, a safety limitation of aloe-emodin and rhein was proposed, due to toxicological concerns. A quantitative, analytical method of the anthraquinone aglycones in all Ph. Eur. monographed herbal laxatives is of interest. A rational method development for the aglycones aloe-emodin, rhein, emodin, chrysophanol, and physcion in five herbal drugs was realized by using 3D chromatographic modelling (temperature, solvent, and gradient time) and design of experiment (DOE) software (DryLab 4). A methodical approach suitable for the challenging peak tracking in the chromatograms of the herbal drugs in dependence on the changes in the chromatographic conditions is described by using a combination of mass spectroscopy (MS) data (UHPLC-QDa), UV/Vis-spectra, and peak areas. The model results indicate a low robust range and showed that with the selected chromatographic system, small interferences could not be averted. The separation achieved shows a pure UV/Vis spectrum for all aglycones except for chrysophanol in and emodin in fruit. A gradient with the best resolution of the aglycones in all five drugs is proposed, and its suitability demonstrated for the quantification of aglycones in these herbal drugs.

摘要

对于欧洲药典(Ph. Eur.)中 Vahl. 和 L. 的叶子和豆荚的草药专论草案,由于毒理学方面的考虑,建议对芦荟大黄素和大黄酸的含量进行安全限制。定量分析所有 Ph. Eur. 专论草药泻剂中的蒽醌苷元是很有意义的。通过使用 3D 色谱建模(温度、溶剂和梯度时间)和实验设计(DoE)软件(DryLab 4),对五种草药中的芦荟大黄素、大黄酸、大黄素、大黄酚和大黄素苷元进行了苷元的合理方法开发。本文描述了一种适合于在依赖于色谱条件变化的情况下对草药色谱图中的挑战性峰进行跟踪的方法,该方法结合了质谱(UHPLC-QDa)数据、UV/Vis 光谱和峰面积。模型结果表明,稳健范围较低,表明在所选择的色谱系统中,小的干扰无法避免。所达到的分离显示出除了 和 中的大黄酚外,所有苷元的纯 UV/Vis 光谱。提出了一种在所有五种药物中都能获得最佳分辨率的苷元梯度,并证明其适用于这些草药中苷元的定量分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc1a/6150557/52d76b4b6db3/molecules-22-01838-g001.jpg

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