rbioacc: An R-package to analyze toxicokinetic data

Aude Ratier (1, 2) , Virgile Baudrot (1) , Miléna Kaag (1, 3) , Aurélie Siberchicot (1) , Christelle Lopes (1) , Sandrine Charles (1)

1 LBBE - Laboratoire de Biométrie et Biologie Evolutive - UMR 5558
2 SEBIO - Stress Environnementaux et BIOsurveillance des milieux aquatiques
3 INSA Lyon - Institut National des Sciences Appliquées de Lyon

The R-package rbioacc allows to analyse experimental data from bioaccumulation tests where organisms are exposed to a chemical (exposure) then put into clean media (depuration). Internal concentrations are measured over time during the experiment. rbioacc provides turnkey functions to visualise and analyse such data. Under a Bayesian framework, rbioacc fits a generic one-compartment toxicokinetic model built from the data. It provides TK parameter estimates (uptake and elimination rates) and standard bioaccumulation metrics. All parameter estimates, bioaccumulation metrics and predictions of internal concentrations are delivered with their uncertainty. Bioaccumulation metrics are provided in support of environmental risk assessment, in full compliance with regulatory requirements required to approve market release of chemical substances. This paper provides worked examples of the use of rbioacc from data collected through standard bioaccumulation tests, publicly available within the scientific literature. These examples constitute step-by-step user-guides to analyse any new data set, uploaded in the right format.

Mots clés: Bayesian inference; Bioaccumulation metrics; Ecotoxicology; Environmental risk assessment; One-compartment modelling; R-Shiny web interface; Toxicokinetic models; Uncertainty

Domaines: Toxicologie; Ingénierie de l'environnement

Aude Ratier, Virgile Baudrot, Miléna Kaag, Aurélie Siberchicot, Christelle Lopes, et al.. rbioacc: An R-package to analyze toxicokinetic data. Ecotoxicology and Environmental Safety, 2022, 242, pp.113875. ⟨10.1016/j.ecoenv.2022.113875⟩. ⟨ineris-03846876⟩