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Bob Safford

Researcher at University of Bedfordshire

Publications -  16
Citations -  4714

Bob Safford is an academic researcher from University of Bedfordshire. The author has contributed to research in topics: Local lymph node assay & Risk assessment. The author has an hindex of 12, co-authored 16 publications receiving 3373 citations.

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Journal ArticleDOI

Use of an aggregate exposure model to estimate consumer exposure to fragrance ingredients in personal care and cosmetic products

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.
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Novel database for exposure to fragrance ingredients in cosmetics and personal care products.

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.
Journal ArticleDOI

Application of the expanded Creme RIFM consumer exposure model to fragrance ingredients in cosmetic, personal care and air care products.

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.
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Integrating habits and practices data for soaps, cosmetics and air care products into an existing aggregate exposure model

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.
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Predictive identification of human skin sensitization thresholds

TL;DR: The results from each assay revealed a clear linear relationship between the 2 values, thereby substantiating further the utility of LLNA EC3 values for prediction of the relative human sensitizing potency of newly identified skin sensitizers.