期刊
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
卷 242, 期 -, 页码 -出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ecoenv.2022.113875
关键词
Bayesian inference; Bioaccumulation metrics; Ecotoxicology; Environmental risk assessment; One-compartment modelling; R-Shiny web interface; Toxicokinetic models; Uncertainty
资金
- ANR
- [ANR-18-CE34-0013]
This paper introduces the functions and applications of the R-package rbioacc, which can be used to analyze data from bioaccumulation tests. The package provides TK parameter estimates, bioaccumulation metrics, and supports environmental risk assessment, in compliance with regulatory requirements.
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据