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一种基于9×9图谱的新型溶剂选择策略,用于天然产物的靶向逆流色谱分离。

A novel 9 × 9 map-based solvent selection strategy for targeted counter-current chromatography isolation of natural products.

作者信息

Liang Junling, Meng Jie, Wu Dingfang, Guo Mengzhe, Wu Shihua

机构信息

Research Center of Siyuan Natural Pharmacy and Biotoxicology, College of Life Sciences, Zhejiang University, Hangzhou 310058, China; Research and Development Center of Natural Medicine, Zhejiang Agriculture and Forest University, Lin'an, Zhejiang Province 311300, China.

Research Center of Siyuan Natural Pharmacy and Biotoxicology, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.

出版信息

J Chromatogr A. 2015 Jun 26;1400:27-39. doi: 10.1016/j.chroma.2015.04.043. Epub 2015 Apr 30.

Abstract

Counter-current chromatography (CCC) is an efficient liquid-liquid chromatography technique for separation and purification of complex mixtures like natural products extracts and synthetic chemicals. However, CCC is still a challenging process requiring some special technical knowledge especially in the selection of appropriated solvent systems. In this work, we introduced a new 9 × 9 map-based solvent selection strategy for CCC isolation of targets, which permit more than 60 hexane-ethyl acetate-methanol-water (HEMWat) solvent systems as the start candidates for the selection of solvent systems. Among these solvent systems, there are clear linear correlations between partition coefficient (K) and the system numbers. Thus, an appropriate CCC solvent system (i.e., sweet spot for K = 1) may be hit by measurement of k values of the target only in two random solvent systems. Besides this, surprisingly, we found that through two sweet spots, we could get a line ("Sweet line") where there are infinite sweet solvent systems being suitable for CCC separation. In these sweet solvent systems, the target has the same partition coefficient (K) but different solubilities. Thus, the better sweet solvent system with higher sample solubility can be obtained for high capacity CCC preparation. Furthermore, we found that there is a zone ("Sweet zone") where all solvent systems have their own sweet partition coefficients values for the target in range of 0.4 < K< 2.5 or extended range of 0.25 < K < 16. All results were validated by using 14 pure GUESSmix mimic natural products as standards and further confirmed by isolation of several targets including honokiol and magnolol from the extracts of Magnolia officinalis Rehd. Et Wils and tanshinone IIA from Salvia miltiorrhiza Bunge. In practice, it is much easier to get a suitable solvent system only by making a simple screening two to four HEMWat two-phase solvent systems to obtain the sweet line or sweet zone without special knowledge or comprehensive standards as references. This is an important advancement for solvent system selection and also will be very useful for isolation of current natural products including Traditional Chinese Medicines.

摘要

逆流色谱法(CCC)是一种高效的液-液色谱技术,用于分离和纯化天然产物提取物和合成化学品等复杂混合物。然而,CCC仍然是一个具有挑战性的过程,需要一些特殊的技术知识,特别是在选择合适的溶剂系统方面。在这项工作中,我们引入了一种新的基于9×9图谱的溶剂选择策略,用于CCC分离目标物,该策略允许超过60种正己烷-乙酸乙酯-甲醇-水(HEMWat)溶剂系统作为溶剂系统选择的起始候选物。在这些溶剂系统中,分配系数(K)与系统编号之间存在明显的线性相关性。因此,仅通过测量目标物在两个随机溶剂系统中的k值,就可以找到合适的CCC溶剂系统(即K = 1的最佳点)。除此之外,令人惊讶的是,我们发现通过两个最佳点,可以得到一条线(“最佳线”),在这条线上有无限多个适合CCC分离的最佳溶剂系统。在这些最佳溶剂系统中,目标物具有相同的分配系数(K)但溶解度不同。因此,可以获得具有更高样品溶解度的更好的最佳溶剂系统,用于高容量CCC制备。此外,我们发现存在一个区域(“最佳区域”),在该区域中所有溶剂系统对于目标物都有其自身的最佳分配系数值,范围为0.4 < K < 2.5或扩展范围0.25 < K < 16。所有结果均以14种纯GUESSmix模拟天然产物为标准进行了验证,并通过从厚朴(Magnolia officinalis Rehd. Et Wils)提取物中分离和厚朴酚与厚朴酚以及从丹参(Salvia miltiorrhiza Bunge)中分离丹参酮IIA等多个目标物进一步得到证实。在实际应用中,仅通过简单筛选两到四个HEMWat两相溶剂系统以获得最佳线或最佳区域,而无需特殊知识或综合标准作为参考,就更容易获得合适的溶剂系统。这是溶剂系统选择方面的一项重要进展,对于当前包括中药在内的天然产物的分离也将非常有用。

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