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Membrane-coated fiber array approach for predicting skin permeability of chemical mixtures from different vehicles.

Riviere JE; Baynes RE; Xia XR
Toxicol Sci 2007 Sep; 99(1):153-161
A membrane-coated fiber (MCF) array approach was developed for quantitative assessment of skin absorption from chemical mixtures, which was based on the similarity in the absorption mechanisms of the MCF membrane and the stratum corneum of the skin. A set of probe compounds were used to detect the relative molecular interaction strengths of chemicals with the vehicle and the membranes, which provided a linkage between the skin permeability (log k) and MCF partition coefficients (log KF). A predictive model was established via multiple linear regression analysis of the data matrix of experimentally measured log k value and log KFm values; log k=a0+a1 log KF1+a2 log KF2+...+an log KFm, where m is the number of diverse MCFs. Twenty-five probe compounds and three MCFs (polydimethylsiloxane for lipophilic, polyacrylate for polarizable, and CarboWax for polar interactions) were used to demonstrate the model development processes in the MCF array approach. The skin permeability of the probe compounds was measured with conventional diffusion cell experiments using dermatomed porcine skin. Three predictive models were established for skin permeability prediction from chemical mixtures in water, 50% ethanol, and 1% sodium lauryl sulfate (SLS) with R2 values of 93, 91, and 83, respectively. The log k and log KF values were considerably altered by the addition of ethanol or SLS into the dose vehicle; however, their correlations to skin permeability remained strong under various conditions. These results suggested that the experimentally based MCF array approach can be used to predict skin absorption from chemical mixtures in different vehicles or formulations.
Models; Toxins; Toxic-effects; Risk-analysis; Absorption-rates; Statistical-quality-control; Statistical-analysis; Qualitative-analysis; Quantitative-analysis; Skin-absorption; Skin-exposure; Chemical-composition; Chemical-properties; Chemical-structure
Jim E. Riviere, Center for Chemical Toxicology Research and Pharmacokinetics (CCTRP), College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina 27606
Publication Date
Document Type
Journal Article
Email Address
Funding Amount
Funding Type
Fiscal Year
Identifying No.
Grant-Number-R01-OH-007555; Grant-Number-R01-OH-003669
Issue of Publication
Priority Area
Work Environment and Workforce: Mixed Exposures
Source Name
Toxicological Sciences
Performing Organization
North Carolina State University, Raleigh, North Carolina
Page last reviewed: August 12, 2022
Content source: National Institute for Occupational Safety and Health Education and Information Division