Study of the relationship between the structure and the relative mobility of chlorophenols in different buffers modified by different organic additives by capillary zone electrophoresis Original Research Article

The relationship was studied between the relative mobility of a group of 19 chlorophenols in different buffers modified by eight kinds of different organic additives in capillary zone electrophoresis and a set of 10 molecular descriptors calculated by semi-empirical quantum chemical method PM3 implemented in HyperChem. Using multiple linear regression (MLR), we obtained an empirical function which included five descriptors. The performance of radial basis function neural network (RBFNN) was evaluated and proved better than MLR.