Recent Progress on Countercurrent Chromatography Modeling

Abstract

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.

Keywords:

• countercurrent chromatography
• model
• peak
• predict
• separation process

Notes

Color versions of one or more of the figures in the article can be found online at www.tandfonline.com/ljlc.