Normal and reversed phase high performance liquid chromatography of some new 1, 2, 4-triazole derivatives

The retention behaviour and separation ability of normal and reversed phase HPLC with one non-polar and two polar mobile phases, have been studied by measuring the retention constants of a series of newly synthesized 1,2,4-triazole derivatives. The results are discussed in terms of the nature of the solute, eluent and stationary phase

Study of quantitative structure-retention relationships for s-triazine derivatives in different RP HPTLC systems

Quantitative structure-retention relationships (QSRR) have been used to study the chromatographic behavior of some s-triazines. Retention factors, RM0, on C18 layers corresponding to zero percent organic modifier in the aqueous mobile phase were determined for five mobile phase mixtures: methanol-water, acetone-water, acetonitrile-water, 2-propanol-water, and tetrahydrofuran-water and relationships between RM 0 values obtained with different organic mobile phase modifiers were examined. A variety of partition coefficients (Alog P, IAlog P, Clog P, Xlog P, log PKowin, and ACDlog P) were calculated by use of different software products. The correlation between partition coefficients and chromatographically obtained lipophilicity was analyzed. On the basis of correlations between RM0 and log P, C18 with methanol-water as mobile phase was selected as the best RP HPTLC system for determination of the octanol/water partition coefficient and thus the lipophilicity of the molecules

Estimation of chromatographic lipophilicity of some D-homo androstene derivatives

Quantitative structure-retention relationship (QSRR) method was applied to study the chromatographic behaviour of D-homo-androstene derivatives 1-7. Retention constants (RM 0) of the analysed derivatives were determined by reversed-phase high-performance thin-layer chromatography (RP HPTLC) on C18 plates by using four mobile phase mixtures: methanol-water, acetone-water, acetonitrile-water, and dioxane-water. Correlation analysis based on multiple regression method was applied in order to model chromatographic retention by means of nine different lipophilicity descriptors (logP). The developed QSRR models were cross-validated and high-quality validation parameters were obtained by leave-one-out method. It was found that the derived QSRR models have a good predictive ability. [Projekat Ministarstva nauke Republike Srbije, br. 172012 i br. 172014