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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All data used in this paper is downloadable from the MOSAIC web platform.
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Acknowledgements
A lot of thanks to M. Richard Marchant and Mrs. Miléna Kaag for proof-reading the entire text of the revised manuscript. The work presented in this paper was performed using the computing facilities of the CC LBBE/PRABI. A large part of the work benefited from the French GDR ”Aquatic Ecotoxicology” framework which aims at fostering stimulating scientific discussions and collaborations for more integrative approaches. The development of MOSAICbioacc is part of the ANR project APPROve (ANR-18-CE34-0013) for an integrated approach to propose proteomics for biomonitoring: accumulation, fate and multi-markers (https://anr.fr/Projet-ANR-18-CE34-0013).
Funding
The authors are thankful to ANSES for providing the financial support for the development of the MOSAICbioacc web tool (CNRS contract number 208483). This work was also made with the financial support of the Graduate School H2O’Lyon (ANR-17-EURE-0018) and “Université de Lyon” (UdL), as part of the program “Investissements d’Avenir” run by “Agence Nationale de la Recherche” (ANR)
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SC: coordinated part of the research work underlying the presented results as well as the writing of the manuscript with all contributors; she structured the final version of the manuscript, contributed to Figs. 2, 4 and 5, and conceived the graphical-art figure. AR: drafted the first version of the manuscript, conceived Figs. 1 and 3, reviewed the manuscript and helped in finalizing the submitted version of the manuscript. VB: is the main developer of the morse package that supports the MOSAIC web interface; he is actively contributing to MOSAICGUTS−predict, and reviewed the manuscript. GM: developed the first version of MOSAICbioacc and made significant improvements in MOSAICgrowth, then reviewed the manuscript. AS: is the main developer of MOSAICGUTS−predict; she reviewed the manuscript and revised figure 4. DW: fully conceived MOSAICgrowth in its first version and revised the final manuscript. CL: coordinated part of the research work underlying the presented results and revised the entire manuscript.
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Sandrine Charles and Aude Ratier contributed equally to the work.
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Charles, S., Ratier, A., Baudrot, V. et al. Taking full advantage of modelling to better assess environmental risk due to xenobiotics—the all-in-one facility MOSAIC. Environ Sci Pollut Res 29, 29244–29257 (2022). https://doi.org/10.1007/s11356-021-15042-7
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DOI: https://doi.org/10.1007/s11356-021-15042-7

