Open AccessEstimation of chromatographic lipophilicity of some D-homo androstene derivatives
Author(s) -
Nada U. Perišić-Janjić,
Katarina M. Penov-Gaši,
Evgenija A. Djurendić,
Marina P. Savić,
Strаhinjа Kоvаčеvić,
Stela Jokić,
Sanja Podunavac-Kuzmаnоvić,
Nada U. Perišić-Janjić,
Katarina M. Penov-Gaši,
Stela Jokić,
Sanja Podunavac-Kuzmаnоvić,
U Perišić-Janjić Nada,
M Penov-Gaši Katarina,
A Djurendić Evgenija,
Patricia Marina,
Strаhinjа Kоvаčеvić,
D Jokić Stela,
O Podunavac-Kuzmanović Sanja
Publication year - 2015
Publication title -
acta periodica technologica/acta periodica technologica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.134
H-Index - 15
eISSN - 2406-095X
pISSN - 1450-7188
DOI - 10.2298/apt1546249p
Subject(s) - lipophilicity , chromatography , chemistry , acetonitrile , acetone , retention time , molecular descriptor , methanol , quantitative structure–activity relationship , organic chemistry , stereochemistry
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