Author
C. McNamara
Other affiliations: Epson
Bio: C. McNamara is an academic researcher from Trinity College, Dublin. The author has contributed to research in topics: Population & Trade association. The author has an hindex of 10, co-authored 13 publications receiving 3400 citations. Previous affiliations of C. McNamara include Epson.
Papers
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TL;DR: A newly developed probabilistic model, the Creme RIFM model, is used to estimate aggregate exposure to fragrance ingredients using the example of 2-phenylethanol (PEA) to demonstrate the utility of the model in determining systemic and dermal exposure to fragrances from individual products, and aggregate exposure.
1,108 citations
TL;DR: The data and modelling methods presented show potential as a means of performing ingredient safety assessments for personal care and cosmetics products, and the robustness and ability to estimate aggregate consumer product exposure are presented.
1,057 citations
TL;DR: The Creme RIFM model offers a very comprehensive and powerful tool for estimating aggregate exposure to fragrance ingredients, suggesting that deterministic models overestimate exposure by 11.5–25 fold.
1,050 citations
TL;DR: The development of Phase 2 Creme RIFM model is described by expanding the previously developed Phase 1 model to include an additional six product types, which covers a broader range of product categories and includes all relevant routes of exposure.
1,026 citations
TL;DR: A significant finding was an inverse correlation between frequency of product use and quantity used per application for body lotion, facial moisturiser, toothpaste and shampoo, which largely confirm the exposure parameters currently used by the cosmetic industry.
144 citations
Cited by
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Research Institute for Fragrance Materials1, Columbia University Medical Center2, Malmö University3, University of Nebraska–Lincoln4, University of São Paulo5, University of Würzburg6, Oregon Health & Science University7, International Flavors & Fragrances, Inc.8, Symrise9, Vanderbilt University10, Kyoto University11, Takasago International Corporation12, University of Tennessee13, University of Arizona14
TL;DR: This publication is designed to update the RifM safety assessment process, which follows a series of decision trees, reflecting advances in approaches in risk assessment and new and classical toxicological methodologies employed by RIFM over the past ten years.
1,148 citations
TL;DR: A newly developed probabilistic model, the Creme RIFM model, is used to estimate aggregate exposure to fragrance ingredients using the example of 2-phenylethanol (PEA) to demonstrate the utility of the model in determining systemic and dermal exposure to fragrances from individual products, and aggregate exposure.
1,108 citations
TL;DR: The data and modelling methods presented show potential as a means of performing ingredient safety assessments for personal care and cosmetics products, and the robustness and ability to estimate aggregate consumer product exposure are presented.
1,057 citations
TL;DR: The Creme RIFM model offers a very comprehensive and powerful tool for estimating aggregate exposure to fragrance ingredients, suggesting that deterministic models overestimate exposure by 11.5–25 fold.
1,050 citations
TL;DR: The development of Phase 2 Creme RIFM model is described by expanding the previously developed Phase 1 model to include an additional six product types, which covers a broader range of product categories and includes all relevant routes of exposure.
1,026 citations