2.50
Hdl Handle:
http://hdl.handle.net/10033/275992
Title:
Improved input parameters for diffusion models of skin absorption.
Authors:
Hansen, Steffi; Lehr, Claus-Michael; Schaefer, Ulrich F
Abstract:
To use a diffusion model for predicting skin absorption requires accurate estimates of input parameters on model geometry, affinity and transport characteristics. This review summarizes methods to obtain input parameters for diffusion models of skin absorption focusing on partition and diffusion coefficients. These include experimental methods, extrapolation approaches, and correlations that relate partition and diffusion coefficients to tabulated physico-chemical solute properties. Exhaustive databases on lipid-water and corneocyte protein-water partition coefficients are presented and analyzed to provide improved approximations to estimate lipid-water and corneocyte protein-water partition coefficients. The most commonly used estimates of lipid and corneocyte diffusion coefficients are also reviewed. In order to improve modeling of skin absorption in the future diffusion models should include the vertical stratum corneum heterogeneity, slow equilibration processes, the absorption from complex non-aqueous formulations, and an improved representation of dermal absorption processes. This will require input parameters for which no suitable estimates are yet available.
Affiliation:
Drug Delivery, Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz-Center for Infection Research (HZI), Saarbruecken, Germany. Steffi.hansen@helmholtz-hzi.de
Citation:
Improved input parameters for diffusion models of skin absorption. 2013, 65 (2):251-64 Adv. Drug Deliv. Rev.
Journal:
Advanced drug delivery reviews
Issue Date:
Feb-2013
URI:
http://hdl.handle.net/10033/275992
DOI:
10.1016/j.addr.2012.04.011
PubMed ID:
22626979
Type:
Article
Language:
en
ISSN:
1872-8294
Appears in Collections:
publications of the department drug delivery ([TC] DDEL)

Full metadata record

DC FieldValue Language
dc.contributor.authorHansen, Steffien_GB
dc.contributor.authorLehr, Claus-Michaelen_GB
dc.contributor.authorSchaefer, Ulrich Fen_GB
dc.date.accessioned2013-03-26T10:35:22Zen
dc.date.available2013-03-26T10:35:22Zen
dc.date.issued2013-02en
dc.identifier.citationImproved input parameters for diffusion models of skin absorption. 2013, 65 (2):251-64 Adv. Drug Deliv. Rev.en_GB
dc.identifier.issn1872-8294en
dc.identifier.pmid22626979en
dc.identifier.doi10.1016/j.addr.2012.04.011en
dc.identifier.urihttp://hdl.handle.net/10033/275992en
dc.description.abstractTo use a diffusion model for predicting skin absorption requires accurate estimates of input parameters on model geometry, affinity and transport characteristics. This review summarizes methods to obtain input parameters for diffusion models of skin absorption focusing on partition and diffusion coefficients. These include experimental methods, extrapolation approaches, and correlations that relate partition and diffusion coefficients to tabulated physico-chemical solute properties. Exhaustive databases on lipid-water and corneocyte protein-water partition coefficients are presented and analyzed to provide improved approximations to estimate lipid-water and corneocyte protein-water partition coefficients. The most commonly used estimates of lipid and corneocyte diffusion coefficients are also reviewed. In order to improve modeling of skin absorption in the future diffusion models should include the vertical stratum corneum heterogeneity, slow equilibration processes, the absorption from complex non-aqueous formulations, and an improved representation of dermal absorption processes. This will require input parameters for which no suitable estimates are yet available.en_GB
dc.language.isoenen
dc.rightsArchived with thanks to Advanced drug delivery reviewsen_GB
dc.titleImproved input parameters for diffusion models of skin absorption.en
dc.typeArticleen
dc.contributor.departmentDrug Delivery, Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz-Center for Infection Research (HZI), Saarbruecken, Germany. Steffi.hansen@helmholtz-hzi.deen_GB
dc.identifier.journalAdvanced drug delivery reviewsen_GB

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