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Computational modeling of the skin barrier.
- Source :
-
Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2011; Vol. 763, pp. 1-32. - Publication Year :
- 2011
-
Abstract
- A simulation environment for the numerical calculation of permeation processes through human skin has been developed. In geometry models that represent the actual cell morphology of stratum corneum (SC) and deeper skin layers, the diffusive transport is simulated by a finite volume method. As reference elements for the corneocyte cells and lipid matrix, both three-dimensional tetrakaidecahedra and cuboids as well as two-dimensional brick-and-mortar models have been investigated. The central finding is that permeability and lag time of the different membranes can be represented in a closed form depending on model parameters and geometry. This allows a comparison of the models in terms of their barrier effectiveness at comparable cell sizes. The influence of the cell shape on the barrier properties has been numerically demonstrated and quantified. It is shown that tetrakaidecahedra in addition to an almost optimal surface-to-volume ratio also has a very favorable barrier-to-volume ratio. A simulation experiment was successfully validated with two representative test substances, the hydrophilic caffeine and the lipophilic flufenamic acid, which were applied in an aqueous vehicle with a constant dose. The input parameters for the simulation were determined in a companion study by experimental collaborators.
- Subjects :
- Cell Shape
Cell Size
Computer Simulation
Diffusion
Humans
Hydrophobic and Hydrophilic Interactions
Kinetics
Lipids chemistry
Membranes, Artificial
Permeability
Skin anatomy & histology
Skin Absorption physiology
Solubility
Water metabolism
Biological Transport physiology
Caffeine metabolism
Flufenamic Acid metabolism
Models, Theoretical
Skin metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1940-6029
- Volume :
- 763
- Database :
- MEDLINE
- Journal :
- Methods in molecular biology (Clifton, N.J.)
- Publication Type :
- Academic Journal
- Accession number :
- 21874441
- Full Text :
- https://doi.org/10.1007/978-1-61779-191-8_1