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Updated: Apr 13, 2026

Curtain Flow Column: Optimization of Efficiency and Sensitivity
Published on: June 12, 2016
Using quantitative structure activity relationship models to predict an appropriate solvent system from a common
Siân Marsden-Jones1, Nicola Colclough2, Ian Garrard1
1Advanced Bioprocessing Centre, Institute of Environment, Health and Societies, Brunel University, Uxbridge, Middlesex UB8 3PH, UK.
Abstract:
Countercurrent chromatography (CCC) is a form of liquid-liquid chromatography. It works by running one immiscible solvent (mobile phase) over another solvent (stationary phase) being held in a CCC column using centrifugal force. The concentration of compound in each phase is characterised by the partition coefficient (Kd), which is the concentration in the stationary phase divided by the concentration in the mobile phase. When Kd is between approximately 0.2 and 2, it is most likely that optimal separation will be achieved. Having the Kd in this range allows the compound enough time in the column to be separated without resulting in a broad peak and long run time. In this paper we report the development of quantitative structure activity relationship (QSAR) models to predict logKd. The QSAR models use only the molecule's 2D structure to predict the molecular property logKd.
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