首页|Evaluating micellar liquid chromatographic methods on octadecyl particle-based and monolithic columns to predict the skin permeation of drug and cosmetic molecules

Evaluating micellar liquid chromatographic methods on octadecyl particle-based and monolithic columns to predict the skin permeation of drug and cosmetic molecules

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  • NSTL
  • Elsevier
A micellar liquid chromatographic method was developed to assist in the modeling of the skin permeability of pharmaceutical and cosmetic compounds. The composition of the mobile phase was determined by means of a two-factor central composite design, after which it was tested on both a particle-based and monolithic column. The latter provided the opportunity to increase the flow rate from 1 to 8 mL/min without reaching too high backpressures. The micellar conditions allowed analyzing a large test set of compounds with diverse characteristics with just one mobile-phase composition. The obtained experimental chromatographic descriptors besides two sets of theoretical molecular descriptors were used to model the skin permeability coefficient log K-p, applying multiple linear regression and partial least squares regression approaches. The micellar method on the monolithic column provided useful models with similar or even slightly better performance parameters than the method on the particle-based column. Furthermore, a much faster analysis can be achieved when applying a flow rate of 8 mL/min, making the micellar monolithic method ideal to estimate skin permeability. (C) 2021 Elsevier B.V. All rights reserved.

Skin permeabilityMicellar liquid chromatographyMonolithic columnQuantitative retention-activity relationship modelsQuantitative structure-activity relationship modelsIMMOBILIZED ARTIFICIAL MEMBRANESQUANTITATIVE STRUCTURE-RETENTIONSTATIONARY-PHASEIN-VITROPERMEABILITYSILICACHEMISTRY

Grooten, Yasmine、Marcelis, Quinten、Mangelings, Debby、Vander Heyden, Yvan

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Vrije Univ Brussel VUB

2022

10.1016/j.chroma.2021.462753

Journal of chromatography

Journal of chromatography

ISSN：0021-9673
年,卷(期)：2022.1663
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