As countercurrent chromatography is becoming an established method in chromatography for many kinds of products, it is becoming increasingly important to model the process and to be able to predict the peaks for a given process. The CCC industries are looking for rapid methods to analyze the processes of countercurrent chromatography and select a suitable solvent system. In this paper, recent progress is reviewed in the development and demonstration of several types of models of countercurrent chromatography. Literature lists a number of countercurrent chromatography (CCC) models that can predict the retention time and, to a certain extent, the peak width of a solute eluting from a CCC column, such as cell model, CCD model, CSTRs model, probabilistic model, temperature dependence plate model, physical models, and so forth.

中文翻译：

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逆流色谱建模新进展

由于逆流色谱正在成为多种产品色谱中的成熟方法，因此对过程建模并能够预测给定过程的峰变得越来越重要。CCC 行业正在寻找快速方法来分析逆流色谱过程并选择合适的溶剂系统。本文综述了几种逆流色谱模型的开发和论证的最新进展。文献中列出了许多逆流色谱（CCC）模型，可以预测保留时间，并在一定程度上预测从 CCC 柱流出的溶质的峰宽，如细胞模型、CCD 模型、CSTRs 模型、概率模型、温度依赖性板模型、物理模型等。