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Exposure to selected preservatives in personal care products: case study comparison of exposure models and observational biomonitoring data
Exposure models provide critical information for risk assessment of personal care product ingredients, but there have been limited opportunities to compare exposure model predictions to observational exposure data. Urinary excretion data from a biomonitoring study in eight individuals were used to e...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6914665/ https://www.ncbi.nlm.nih.gov/pubmed/30518793 http://dx.doi.org/10.1038/s41370-018-0104-3 |
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author | Aylward, Lesa Vilone, Giulia Cowan-Ellsberry, Christina Arnot, Jon A. Westgate, John N. O’Mahony, Cian Hays, Sean M. |
author_facet | Aylward, Lesa Vilone, Giulia Cowan-Ellsberry, Christina Arnot, Jon A. Westgate, John N. O’Mahony, Cian Hays, Sean M. |
author_sort | Aylward, Lesa |
collection | PubMed |
description | Exposure models provide critical information for risk assessment of personal care product ingredients, but there have been limited opportunities to compare exposure model predictions to observational exposure data. Urinary excretion data from a biomonitoring study in eight individuals were used to estimate minimum absorbed doses for triclosan and methyl-, ethyl-, and n-propyl- parabens (TCS, MP, EP, PP). Three screening exposure models (European Commission Scientific Commission on Consumer Safety [SCCS] algorithms, ConsExpo in deterministic mode, and RAIDAR-ICE) and two higher-tier probabilistic models (SHEDS-HT, and Creme Care & Cosmetics) were used to model participant exposures. Average urinary excretion rates of TCS, MP, EP, and PP for participants using products with those ingredients were 16.9, 3.32, 1.9, and 0.91 μg/kg-d, respectively. The SCCS default aggregate and RAIDAR-ICE screening models generally resulted in the highest predictions compared to other models. Approximately 60–90% of the model predictions for most of the models were within a factor of 10 of the observed exposures; ~30–40% of the predictions were within a factor of 3. Estimated exposures from urinary data tended to fall in the upper range of predictions from the probabilistic models. This analysis indicates that currently available exposure models provide estimates that are generally realistic. Uncertainties in preservative product concentrations and dermal absorption parameters as well as degree of metabolism following dermal absorption influence interpretation of the modeled vs. measured exposures. Use of multiple models may help characterize potential exposures more fully than reliance on a single model. |
format | Online Article Text |
id | pubmed-6914665 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-69146652019-12-20 Exposure to selected preservatives in personal care products: case study comparison of exposure models and observational biomonitoring data Aylward, Lesa Vilone, Giulia Cowan-Ellsberry, Christina Arnot, Jon A. Westgate, John N. O’Mahony, Cian Hays, Sean M. J Expo Sci Environ Epidemiol Article Exposure models provide critical information for risk assessment of personal care product ingredients, but there have been limited opportunities to compare exposure model predictions to observational exposure data. Urinary excretion data from a biomonitoring study in eight individuals were used to estimate minimum absorbed doses for triclosan and methyl-, ethyl-, and n-propyl- parabens (TCS, MP, EP, PP). Three screening exposure models (European Commission Scientific Commission on Consumer Safety [SCCS] algorithms, ConsExpo in deterministic mode, and RAIDAR-ICE) and two higher-tier probabilistic models (SHEDS-HT, and Creme Care & Cosmetics) were used to model participant exposures. Average urinary excretion rates of TCS, MP, EP, and PP for participants using products with those ingredients were 16.9, 3.32, 1.9, and 0.91 μg/kg-d, respectively. The SCCS default aggregate and RAIDAR-ICE screening models generally resulted in the highest predictions compared to other models. Approximately 60–90% of the model predictions for most of the models were within a factor of 10 of the observed exposures; ~30–40% of the predictions were within a factor of 3. Estimated exposures from urinary data tended to fall in the upper range of predictions from the probabilistic models. This analysis indicates that currently available exposure models provide estimates that are generally realistic. Uncertainties in preservative product concentrations and dermal absorption parameters as well as degree of metabolism following dermal absorption influence interpretation of the modeled vs. measured exposures. Use of multiple models may help characterize potential exposures more fully than reliance on a single model. Nature Publishing Group US 2018-12-05 2020 /pmc/articles/PMC6914665/ /pubmed/30518793 http://dx.doi.org/10.1038/s41370-018-0104-3 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Aylward, Lesa Vilone, Giulia Cowan-Ellsberry, Christina Arnot, Jon A. Westgate, John N. O’Mahony, Cian Hays, Sean M. Exposure to selected preservatives in personal care products: case study comparison of exposure models and observational biomonitoring data |
title | Exposure to selected preservatives in personal care products: case study comparison of exposure models and observational biomonitoring data |
title_full | Exposure to selected preservatives in personal care products: case study comparison of exposure models and observational biomonitoring data |
title_fullStr | Exposure to selected preservatives in personal care products: case study comparison of exposure models and observational biomonitoring data |
title_full_unstemmed | Exposure to selected preservatives in personal care products: case study comparison of exposure models and observational biomonitoring data |
title_short | Exposure to selected preservatives in personal care products: case study comparison of exposure models and observational biomonitoring data |
title_sort | exposure to selected preservatives in personal care products: case study comparison of exposure models and observational biomonitoring data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6914665/ https://www.ncbi.nlm.nih.gov/pubmed/30518793 http://dx.doi.org/10.1038/s41370-018-0104-3 |
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