Use of an aggregate exposure model to estimate consumer exposure to fragrance ingredients in personal care and cosmetic products
| Autor: | E.J. Daly, C. Barratt, C. McNamara, D. Comiskey, Russell S. Thomas, Cian O’Mahony, A.M. Api, Bob Safford, Steven H. Robison, B. Smith, S. Tozer, Graham Ellis |
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| Rok vydání: | 2015 |
| Předmět: |
Adult
media_common.quotation_subject Cosmetics Toxicology Humans Risk management media_common Exposure assessment Personal care business.industry Aggregate (data warehouse) Advertising Environmental Exposure General Medicine Models Theoretical Phenylethyl Alcohol Product type United States Perfume Europe Risk analysis (engineering) Consumer Product Safety New product development Business Risk assessment |
| Zdroj: | Regulatory Toxicology and Pharmacology. 72:673-682 |
| ISSN: | 0273-2300 |
| DOI: | 10.1016/j.yrtph.2015.05.017 |
| Popis: | Ensuring the toxicological safety of fragrance ingredients used in personal care and cosmetic products is essential in product development and design, as well as in the regulatory compliance of the products. This requires an accurate estimation of consumer exposure which, in turn, requires an understanding of consumer habits and use of products. Where ingredients are used in multiple product types, it is important to take account of aggregate exposure in consumers using these products. This publication investigates the use of a newly developed probabilistic model, the Creme RIFM model, to estimate aggregate exposure to fragrance ingredients using the example of 2-phenylethanol (PEA). The output shown demonstrates the utility of the model in determining systemic and dermal exposure to fragrances from individual products, and aggregate exposure. The model provides valuable information not only for risk assessment, but also for risk management. It should be noted that data on the concentrations of PEA in products used in this article were obtained from limited sources and not the standard, industry wide surveys typically employed by the fragrance industry and are thus presented here to illustrate the output and utility of the newly developed model. They should not be considered an accurate representation of actual exposure to PEA. |
| Databáze: | OpenAIRE |
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