Liu Yang, Friesen J Brent, McAlpine James B, Pauli Guido F
Department of Medicinal Chemistry and Pharmacognosy, College of Pharmacy, University of Illinois at Chicago, Chicago, Illinois, United States.
Planta Med. 2015 Nov;81(17):1582-91. doi: 10.1055/s-0035-1546246. Epub 2015 Sep 21.
The majority of applications in countercurrent and centrifugal partition chromatography, collectively known as countercurrent separation, are dedicated to medicinal plant and natural product research. In countercurrent separation, the selection of the appropriate solvent system is of utmost importance as it is the equivalent to the simultaneous choice of column and eluent in liquid chromatography. However, solvent system selection is often laborious, involving extensive partition and/or analytical trials. Therefore, simplified solvent system selection strategies that predict the partition coefficients and, thus, analyte behavior are in high demand and may advance both the science of countercurrent separation and its applications. The last decade of solvent system selection theory and applications are critically reviewed, and strategies are classified according to their data input requirements. This offers the practitioner an up-to-date overview of rationales and methods for choosing an efficient solvent system, provides a perspective regarding their accuracy, reliability, and practicality, and discusses the possibility of combining multiple methods for enhanced prediction power.
逆流色谱和离心分配色谱中的大多数应用,统称为逆流分离,都致力于药用植物和天然产物研究。在逆流分离中,选择合适的溶剂系统至关重要,因为这相当于在液相色谱中同时选择色谱柱和洗脱剂。然而,溶剂系统的选择往往很费力,需要进行大量的分配和/或分析试验。因此,迫切需要简化的溶剂系统选择策略,这些策略可以预测分配系数,从而预测分析物的行为,这可能会推动逆流分离科学及其应用的发展。本文对过去十年的溶剂系统选择理论和应用进行了批判性综述,并根据其数据输入要求对策略进行了分类。这为从业者提供了选择高效溶剂系统的原理和方法的最新概述,提供了关于其准确性、可靠性和实用性的观点,并讨论了结合多种方法以增强预测能力的可能性。