CALCULATION OF CHROMATOGRAPHIC PARAMETERS BY MOLECULAR TOPOLOGY - SULPHAMIDES

This investigation was undertaken to test the ability of the molecular connectivity model to predict R(F) values in thin-layer chromatography (TLC) for a group of sulphamides using multi-variable regression equations with multiple correlation coefficients, standard error of estimate, F-Snedecor function values and Student's t-test as criteria of fit. Regression analyses showed that the molecular connectivity model predicts the values for this property in different silica gel stationary phases and different polar mobile phases. Corresponding stability and random studies were made on the selected prediction models which confirmed their goodness of fit. The results also demonstrated that different structural features determine the R(F) values in TLC of sulphamides.