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Taking full advantage of modelling to better assess environmental risk due to xenobiotics

Abstract : In the European Union, more than 100,000 man-made chemical substances are awaiting an environmental risk assessment (ERA). Simultaneously, ERA of these chemicals has now entered a new era requiring determination of risks for physiologically diverse species exposed to several chemicals, often in mixtures. Additionally, recent recommendations from regulatory bodies underline a crucial need for the use of mechanistic effect models, allowing assessments that are not only ecologically relevant, but also more integrative, consistent and efficient. At the individual level, toxicokinetic-toxicodynamic (TKTD) models are particularly encouraged for the regulatory assessment of pesticide-related risks on aquatic organisms. In this paper, we first briefly present a classical dose-response model to showcase the on-line MOSAIC tool, which offers all necessary services in a turnkey web platform, whatever the type of data analyzed. Secondly, we focus on the necessity to account for the time-dimension of the exposure by illustrating how MOSAIC can support a robust calculation of bioaccumulation metrics. Finally, we show how MOSAIC can be of valuable help to fully complete the EFSA workflow regarding the use of TKTD models, especially with GUTS models, providing a user-friendly interface for calibrating, validating and predicting survival over time under any time-variable exposure scenario of interest. Our conclusion proposes a few lines of thought for an easier use of modelling in ERA.
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https://hal.archives-ouvertes.fr/hal-03362566
Contributor : Sandrine Charles Connect in order to contact the contributor
Submitted on : Sunday, January 2, 2022 - 10:47:45 AM
Last modification on : Wednesday, January 5, 2022 - 3:38:56 AM

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2021.03.24.436474v3.full.pdf
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Sandrine Charles, Aude Ratier, Virgile Baudrot, Gauthier Multari, Aurélie Siberchicot, et al.. Taking full advantage of modelling to better assess environmental risk due to xenobiotics. Environmental Science and Pollution Research, Springer Verlag, In press, ⟨10.1007/s11356-021-15042-7⟩. ⟨hal-03362566⟩

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