Use of linear solvation energy relationships for chromatographic retention of seven solutes in different mobile phases

The linear solvation energy relationship (LSER) model was utilized to delineate which specific intermolecular interactions are responsible for changes in retention for a variety of well‐characterized analytes when different additives were used in reversed‐phase high‐performance liquid chromatography. The effects of additives such as organic [sodium dodecyl sulfate (SDS), cetyltrimethylammonium bromide (CTAB)] and inorganic [sodium dihydrogen phosphate (NaH 2 PO 4 ), disodium hydrogen phosphate (Na 2 HPO 4 )] salts with 30–50% (v/v) acetonitrile (ACN) on the LSER coefficients were studied. The ability of the LSER model to account for the chemical interactions underlying solute retention was demonstrated. LSER as a potential predictive tool can direct us to choose proper mobile phase additive to separate different kinds of compounds. Copyright © 2011 Curtin University of Technology and John Wiley & Sons, Ltd.