Self-assembled organogelators as artificial stratum corneum models: Key-role parameters for skin permeation prediction.


Journal

International journal of pharmaceutics
ISSN: 1873-3476
Titre abrégé: Int J Pharm
Pays: Netherlands
ID NLM: 7804127

Informations de publication

Date de publication:
25 Feb 2019
Historique:
received: 20 09 2018
revised: 17 12 2018
accepted: 20 12 2018
pubmed: 2 1 2019
medline: 24 5 2019
entrez: 2 1 2019
Statut: ppublish

Résumé

Self-assembled organogelators were explored as artificial stratum corneum (SC) models for the in vitro skin permeation assessment. Four SC models consisting of binary (organogels) or ternary (microemulsion-based organogels) mixtures were developed using stearic acid, tristearin, or sorbitan tristearate, at two different concentrations, gelled in squalene. The permeation of lipophilic butyl-methoxydibenzoylmethane and hydrophilic methylene blue as the permeant compounds across the SC models was compared with ex vivo experiments using excised porcine ear skin. A multi-analytical approach was adopted to provide detailed understanding about organogelator organization within the SC models and find possible parameters playing key-roles in SC permeation prediction. The SC models were investigated for gelling properties and microstructure. Parameters such as gel occurrence, organogelator concentration, and rheological properties appeared as negligible conditions for skin permeation prediction. Conversely, arrangement packing, interactions, and crystallinity extent of the self-assembled organogelator were found to play a fundamental role in the simulation of SC barrier function according to the permeant feature.

Identifiants

pubmed: 30599224
pii: S0378-5173(18)30989-X
doi: 10.1016/j.ijpharm.2018.12.071
pii:
doi:

Substances chimiques

Gels 0
Lipids 0
Propiophenones 0
avobenzone G63QQF2NOX
Methylene Blue T42P99266K

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

314-328

Informations de copyright

Copyright © 2018 Elsevier B.V. All rights reserved.

Auteurs

Eleonora Maretti (E)

Department of Life Sciences, University of Modena and Reggio Emilia, via G. Campi 103, 41125 Modena, Italy.

Cecilia Rustichelli (C)

Department of Life Sciences, University of Modena and Reggio Emilia, via G. Campi 103, 41125 Modena, Italy.

Paola Miselli (P)

Department of Engineering Enzo Ferrari, University of Modena and Reggio Emilia, via Vivarelli 10, 41125 Modena, Italy.

Eliana Leo (E)

Department of Life Sciences, University of Modena and Reggio Emilia, via G. Campi 103, 41125 Modena, Italy.

Eleonora Truzzi (E)

Department of Life Sciences, University of Modena and Reggio Emilia, via G. Campi 103, 41125 Modena, Italy.

Valentina Iannuccelli (V)

Department of Life Sciences, University of Modena and Reggio Emilia, via G. Campi 103, 41125 Modena, Italy. Electronic address: valentina.iannuccelli@unimore.it.

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Classifications MeSH