Capillary zone electrophoresis electrophoretic mobility modeling

Jalali-Heravi, M., Shen, Y., Hassanisadi, M., and Khaledi, M. G. (2005). Prediction of electrophoretic mobilities of peptides in capillary zone electrophoresis by quantitative structure-mobility relationships using the Offord model and artificial neural networks. Electrophoresis 26,1874—1885. 

BJ Compton. Electrophoretic mobility modeling of proteins in free zone capillary electrophoresis and its application to monoclonal antibody microheterogeneity analysis. J Chromatography 559 357-366, 1991. 

Recently, Jalali-Heravi et al. (9,11) have developed a multivariable model in order to improve the predictive ability of the Offord model and understand the effects of further structural descriptors on electrophoretic mobility in capillary zone electrophoresis (CZE), in addition to charge and size. They generated a diverse data set based on a 125-peptide study, which ranges in size from 2 to 14 amino acids and charges of 0.743-5.843. The Pe of the peptides were measured in bare fused-silica capillaries in CZE mode using 50 mM sodium phosphate buffer at pH 2.5. The detection wavelength was 214nm and the separation temperature was 37 °C. 

Furthermore, Grossman and Soane [66] have studied the effect of molecular orientation on the electrophoretic mobility of a macro ion in free solution (the tobacco mosaic virus was a model) by using the capillary zone electrophoresis technique. 

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