Lipophilicity estimation and characterization of selected steroid derivatives of biomedical importance applying RP HPLC
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Date
2017-02-05
Authors
Jevrić, Lidija
Karadžić, Milica
Mandić, Anamarija 
Podunavac-Kuzmanović, Sanja
Kovačević, Strahinja
Nikolić, Andrea
Oklješa, Aleksandar
Sakač, Marijana
Penov-Gaši, Katarina
Stojanović, Srđan
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Abstract
The present paper deals with chromatographic lipophilicity determination of twenty-nine selected steroid derivatives using reversed-phase high-performance liquid chromatography (RP HPLC) combined with two mobile phase, acetonitrile-water and methanol-water. Chromatographic behavior of four groups (triazole and tetrazole, toluenesulfonylhydrazide, nitrile and dinitrile and dione) of selected steroid derivatives was studied. Investigated compounds were grouped using principal component analysis (PCA) according to their logk values for both mobile phases. Grouping was in the very good accordance with the polarity and lipophilicity ofthe investigated compounds. QSRR (quantitative structure-retention relationship) approach was used to model chromatographic lipophilicity behavior using molecular descriptors. Modeling was performed using linear regression (LR) and multiple linear regression (MLR) methods. The most influential molecular descriptors were lipophilicity descriptors that are important for molecules ability to pass through biological membranes and geometrical descriptors. All established LR-QSRR and MLR-QSRR models were statistically validated by standards, cross- and external validation parameters as well as with two graphical methods. According to all these assessments, MLR models were better for chromatographic lipophilicity prediction. It was shown that chromatographic systems with methanol-water were better for modeling of logk than systems with acetonitrile-water, as well as the systems that contained lower volume fractions of organic component in mobile phase. Modeling was performed in order to obtain lipophilicity profiles of investigated compounds as future drug candidates of biomedical importance.
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peer-reviewed
Keywords
Drug candidates, Chemometrics, Lipophilicity, Liquid chromatography, Quantitative structure retention relationships
Citation
Jevrić, L., Karadžić, M., Mandić, A., Podunavac-Kuzmanović, S., Kovačević, S., Nikolić, A., Oklješa, A., Sakač, M., Penov-Gaši, K., Stojanović, S. (2017) Lipophilicity estimation and characterization of selected steroid derivatives of biomedical importance applying RP HPLC. Journal of Pharmaceutical and Biomedical Analysis, 134, 27–35. DOI: 10.1016/j.jpba.2016.11.015