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https://open.uns.ac.rs/handle/123456789/29542
Nаziv: | Establishing dependences between different lipophilic parameters of new potentially biologically active N-substituted-2-phenylacetamide derivatives by applying multivariate methods | Аutоri: | Vastag Djendji Apostolov Suzana Matijević Borko Petrović Slobodan |
Dаtum izdаvаnjа: | 2015 | Čаsоpis: | Journal of Chromatographic Science | Sažetak: | © The Author 2014. Published by Oxford University Press. All rights reserved. Lipophilicity, a very important parameter in the potential biological activities of molecules, was investigated for newly synthesized N-substituted-2-phenylacetamide derivatives. The determination was carried out in two ways: first experimentally, by applying thinlayer chromatography (TLC) on reversed-phase TLC (RPTLC) RP18F254s in the presence of one protic (methanol) and one aprotic solvent (acetonitrile) and then mathematically, by using different software packages. The intercept of the linear dependence between volume fractions of the organic solvent and the retention parameters obtained by TLC is known as the retention chromatographic constant, RM0, while the slope represents the m value. In order to establish the dependences between the partition coefficient, log P as the standard measure of lipophilicity and the alternative lipophilic parameters obtained experimentally by TLC, RM0 and m values, linear regression analysis and multivariate methods, cluster analysis (CA) and principal component analysis (PCA), were used. All applied methods gave approximately similar results. Although there is a linear dependence between the two chromatographic parameters, the retention constant, RM0, and the m values, only RM0 shows suitable similarity with the standard measure of lipophilicity of the investigated N-substituted-2-phenylacetamide derivatives at the given conditions. The existence of this resemblance proves that the chromatographic retention constant, RM0, obtained by RPTLC could be successfully used for the description of lipophilicity of investigated compounds. On the other hand, the results confirmed that the applied linear regression analysis and the multivariate analysis (CA and PCA) have the ability to compare lipophilic parameters of the investigated phenylacetamide derivatives obtained in different ways. | URI: | https://open.uns.ac.rs/handle/123456789/29542 | ISSN: | 0021-9665 | DOI: | 10.1093/chromsci/bmu061 |
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