Literature DB >> 34206570

RP-18 TLC Chromatographic and Computational Study of Skin Permeability of Steroids.

Anna W Weronika Sobanska1, Jeremy Robertson2, Elżbieta Brzezińska1.   

Abstract

The skin permeability of steroids, as investigated in this study, is important because some of these compounds are, or could, be used in preparations applied topically. Several models of skin permeability, involving thin layer chromatographic and calculated descriptors, were generated and validated using Kp reference values obtained in silico and then tested on a group of solutes whose experimental Kp values could be found (log Kpexp). The study established that the most applicable log Kp model is based on RP-18 thin layer chromatographic data (RM) and the calculated descriptors VM (molar volume) and PSA (polar surface area). Two less efficient, yet simple, equations based on PSA or VM combined with HD (H-donor count) can be used with caution for rapid, rough estimations of compounds' skin permeability prior to their chemical synthesis.

Entities:  

Keywords:  calculated physicochemical descriptors; skin permeability; steroids; thin layer chromatography

Year:  2021        PMID: 34206570     DOI: 10.3390/ph14070600

Source DB:  PubMed          Journal:  Pharmaceuticals (Basel)        ISSN: 1424-8247


  36 in total

1.  Quantitative structure-permeation relationships (QSPeRs) to predict skin permeation: a critical evaluation.

Authors:  Sandrine Geinoz; Richard H Guy; Bernard Testa; Pierre-Alain Carrupt
Journal:  Pharm Res       Date:  2004-01       Impact factor: 4.200

Review 2.  An evaluation of mathematical models for predicting skin permeability.

Authors:  Guoping Lian; Longjian Chen; Lujia Han
Journal:  J Pharm Sci       Date:  2008-01       Impact factor: 3.534

3.  A comparative quantitative structure-retention relationships study for lipophilicity determination of compounds with a phenanthrene skeleton on cyano-, reversed phase-, and normal phase-thin layer chromatography stationary phases.

Authors:  Krzesimir Ciura; Joanna Nowakowska; Piotr Pikul; Wiktoria Struck-Lewicka; Michał J Markuszewski
Journal:  J AOAC Int       Date:  2015 Mar-Apr       Impact factor: 1.913

4.  Prediction of the skin permeability of topical drugs using in silico and in vitro models.

Authors:  Cristina Alonso; Víctor Carrer; Sonia Espinosa; Miriam Zanuy; Mònica Córdoba; Bernat Vidal; María Domínguez; Núria Godessart; Luisa Coderch; Mercè Pont
Journal:  Eur J Pharm Sci       Date:  2019-06-01       Impact factor: 4.384

Review 5.  Non-invasive drug delivery technology: development and current status of transdermal drug delivery devices, techniques and biomedical applications.

Authors:  Naseem Akhtar; Varsha Singh; Mohammad Yusuf; Riaz A Khan
Journal:  Biomed Tech (Berl)       Date:  2020-05-26       Impact factor: 1.411

6.  Heterogeneity effects on permeability-partition coefficient relationships in human stratum corneum.

Authors:  B D Anderson; W I Higuchi; P V Raykar
Journal:  Pharm Res       Date:  1988-09       Impact factor: 4.200

7.  A predictive algorithm for skin permeability: the effects of molecular size and hydrogen bond activity.

Authors:  R O Potts; R H Guy
Journal:  Pharm Res       Date:  1995-11       Impact factor: 4.200

8.  RP-HPTLC Retention Data in Correlation with the In-silico ADME Properties of a Series of s-triazine Derivatives.

Authors:  Lidija R Jevrić; Sanja O Podunavac-Kuzmanović; Jaroslava V Švarc-Gajić; Strahinja Z Kovačević; Bratislav Ž Jovanović
Journal:  Iran J Pharm Res       Date:  2014       Impact factor: 1.696

Review 9.  Transdermal Permeation of Drugs in Various Animal Species.

Authors:  Hiroaki Todo
Journal:  Pharmaceutics       Date:  2017-09-06       Impact factor: 6.321

10.  Application of RP-18 TLC Retention Data to the Prediction of the Transdermal Absorption of Drugs.

Authors:  Anna W Sobańska; Jeremy Robertson; Elżbieta Brzezińska
Journal:  Pharmaceuticals (Basel)       Date:  2021-02-12
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  1 in total

1.  IAM Chromatographic Models of Skin Permeation.

Authors:  Anna W Sobańska; Elżbieta Brzezińska
Journal:  Molecules       Date:  2022-03-15       Impact factor: 4.411

  1 in total

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