Prediction of High-Performance Liquid Chromatographic Retention Data of Carboxamides and Oxadiazoles

Abstract
Regression models that predict the high-performance liquid chromatographic retention behavior of carboxamides and oxadiazoles were proposed. A new intermolecular interaction parameter was developed that combines dispersion interaction and total water solvation shell surface energy ratio of structural(o, m, p) isomers to form nonpolar bonding constant descriptor. Also resonance effect constant and field effect constant were used as electronic descriptor. A three-variable model indicated high multiple correlation(R>0.996) between the observed and the calculated values.

This publication has 9 references indexed in Scilit: