RESUMO
Application of chemometric methods in the study of the retention indices of thirteen 5-arylidene-2,4- thiazolidinediones in two low polarity high-performance thin-layer chromatographic (HPTLC) stationary phases (RP-18 and RP-CN) and six aqueous mobile phases. Principal component analysis classified chromatographic systems into four specific groups while one system remained non-classified. Hierarchical clustering analysis enabled grouping of the chromatographic systems into three clusters, and the studied compounds into three main classes. The color map enabled more in-depth interpretation of the relationships between the studied compounds and HPTLC systems applied.
Assuntos
Cromatografia em Camada Fina/métodos , Tiazolidinedionas/isolamento & purificação , Análise por Conglomerados , Análise de Componente Principal , Tiazolidinedionas/químicaRESUMO
OBJECTIVE: In this study 14 newly synthesized s-triazine derivatives were investigated by means of reversed-phase thin-layer chromatography (TLC) on C-18 stationary and five different mobile phases: acetone-water, acetonitrile-water, methanol-water, 2-propanol-water, and tetrahydrofuran-water. METHODS: Principal component analysis (PCA) was performed to explore and visualize similarities and differences among the compounds and among the mobile phases. Observations from the PCA were supported using hierarchical cluster analysis (HCA). RESULTS: Physicochemical parameters that are significant for activity, that is, absorption, distribution, and bonding for different receptors in target tissues were calculated. CONCLUSION: Highly predictive models, describing quantitative relationships between chromatographic retention and parameters that influence activity, were obtained using partial least squares (PLS) method.