A. Ratier

Improvements in estimating bioaccumulation metrics in the light of toxicokinetics models and Bayesian inference

This paper improves bioaccumulation metric estimation by using Bayesian inference and a meta-analysis of toxicokinetic data to propose using the 75th percentile of uncertainty intervals for classification.

'rbioacc': an R-package to analyse toxicokinetic data

rbioacc is an R-package that analyzes toxicokinetic data from bioaccumulation tests, providing Bayesian parameter estimates and bioaccumulation metrics with uncertainty.

Generic solving of one-compartment toxicokinetic models

This paper provides the analytical solution for one-compartment toxicokinetic models, enabling better parameter estimation and environmental risk assessment.

Accumulation-depuration data collection in support of toxicokinetic modelling

The paper collects and provides raw toxicokinetic data from scientific literature to support TK modelling via the MOSAICbioacc web application.

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

The paper reviews dose-response models and introduces MOSAIC, a tool for environmental risk assessment using TKTD models to improve pesticide risk evaluation for aquatic organisms.

New perspectives on the calculation of bioaccumulation metrics for active substances in living organisms

The paper introduces a web tool, MOSAICbioacc, for calculating bioaccumulation metrics with uncertainty, designed to assist ecotoxicologists and regulators in analyzing complex exposure scenarios.