Prediction of Electrophoretic Mobility of Analytes in Capillary Electrophoresis Using Molecular Connectivity Indices

Abstract

Molecular connectivity indices are the most widely used topological indices in QSAR and QSPR studies. In this paper, the ability of these indices for prediction of electrophoretic mobility of a diverse set of analytes is investigated. The proposed single parameter models were able to predict the mobilities well. Main advantages of the proposed method are: (1) its simplicity, (2) applicability to a wide range of acidic, basic and neutral analytes and (3) applicability to represent the migration behaviours for different electrophoresis methods such as MEKC and non-aqueous capillary electrophoresis.