摘要

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 (NaH2PO4), disodium hydrogen phosphate (Na2HPO4)] salts with 3050% (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.

  • 出版日期2012-8