Studies on Quantitative Structure-Retention Relationships for Sulfides on Stationary Phases of Different Polarities

Multiple linear regression (MLR) based on forward stepwise multiple regression techniques was used for predicting gas chromatographic retention index of sulfides after calculating their quantum chemical parameters. The correlative quantitative model between the retention index ( I R) of sulfides on four stationary phases of different polarities and their quantum chemical parameters was built. The results proved the strong predictive power of the models. The root mean square error (RMS) of the regression equation was less than 4%.