A novel approach to modelling counter-current chromatography.
Literature lists a number of counter-current 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. The approach described in this paper distinguishes itself from previous reports by relating all model parameters directly to column dimensions and experimental settings. Most importantly, this model can predict a chromatogram from scratch without resorting to traditional calibration using empirical values. The model validation with experimental results obtained across a range of CCC instruments demonstrated that the solute retention time, peak width, and peak resolution could be predicted within reasonable accuracy. Additionally, the effect of several process parameters, such as mobile phase flow rate, rotational speed of the column or β-value, showed that the model is robust and applicable to a wide range of CCC instruments. Overall, this model proved to be a useful tool for parameter estimation and, most significantly, separation optimisation.
Guzlek
Hacer
H
Imperial College London, South Kensington Campus, London SW7 2AZ, UK. Hguzlek@imperial.ac.uk
Baptista
Ines I R
II
Wood
Philip L
PL
Livingston
Andrew
A
D000465:Algorithms; D002853:Chromatography, Liquid; D003377:Countercurrent Distribution / Q000379:methods*; D008956:Models, Chemical; D009930:Organic Chemicals / Q000737:chemistry; D004364:Pharmaceutical Preparations / Q000737:chemistry; D015203:Reproducibility of Results
D009930:Organic Chemicals; D004364:Pharmaceutical Preparations