Dermal uptake directly from air under transient conditions: advances in modeling and comparisons with experimental results for human subjects

To better understand the dermal exposure pathway, we enhance an existing mechanistic model of transdermal uptake by including skin surface lipids (SSL) and consider the impact of clothing. Addition of SSL increases the overall resistance to uptake of SVOCs from air but also allows for rapid transfer...

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Bibliographic Details
Published inIndoor air Vol. 26; no. 6; pp. 913 - 924
Main Authors Morrison, G. C., Weschler, C. J., Bekö, G.
Format Journal Article
LanguageEnglish
Published England Blackwell Publishing Ltd 01.12.2016
John Wiley & Sons, Inc
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Online AccessGet full text
ISSN0905-6947
1600-0668
DOI10.1111/ina.12277

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Summary:To better understand the dermal exposure pathway, we enhance an existing mechanistic model of transdermal uptake by including skin surface lipids (SSL) and consider the impact of clothing. Addition of SSL increases the overall resistance to uptake of SVOCs from air but also allows for rapid transfer of SVOCs to sinks like clothing or clean air. We test the model by simulating di‐ethyl phthalate (DEP) and di‐n‐butyl phthalate (DnBP) exposures of six bare‐skinned (Weschler et al. 2015, Environ. Health Perspect., 123, 928) and one clothed participant (Morrison et al. 2016, J. Expo. Sci. Environ. Epidemiol., 26, 113). The model predicts total uptake values that are consistent with the measured values. For bare‐skinned participants, the model predicts a normalized mass uptake of DEP of 3.1 (μg/m2)/(μg/m3), whereas the experimental results range from 1.0 to 4.3 (μg/m2)/(μg/m3); uptake of DnBP is somewhat overpredicted: 4.6 (μg/m2)/(μg/m3) vs. the experimental range of 0.5–3.2 (μg/m2)/(μg/m3). For the clothed participant, the model predicts higher than observed uptake for both species. Uncertainty in model inputs, including convective mass transfer coefficients, partition coefficients, and diffusion coefficients, could account for overpredictions. Simulations that include transfer of skin oil to clothing improve model predictions. A dynamic model that includes SSL is more sensitive to changes that impact external mass transfer such as putting on and removing clothes and bathing.
Bibliography:International Centre for Indoor Environment and Energy
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ark:/67375/WNG-TRQGJP59-D
ArticleID:INA12277
Otto Mønsted Guest Professor Fellowship
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SourceType-Scholarly Journals-1
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ISSN:0905-6947
1600-0668
DOI:10.1111/ina.12277