Evaluation of models to estimate the bioaccumulation of organic chemicals in earthworms.

Bioaccumulation Earthworms Model evaluation Organic chemicals Risk assessment

Journal

Ecotoxicology and environmental safety
ISSN: 1090-2414
Titre abrégé: Ecotoxicol Environ Saf
Pays: Netherlands
ID NLM: 7805381

Informations de publication

Date de publication:
22 Mar 2024
Historique:
received: 30 11 2023
revised: 15 03 2024
accepted: 17 03 2024
medline: 24 3 2024
pubmed: 24 3 2024
entrez: 23 3 2024
Statut: aheadofprint

Résumé

Modelling approaches to estimate the bioaccumulation of organic chemicals by earthworms are important for improving the realism in risk assessment of chemicals. However, the applicability of existing models is uncertain, partly due to the lack of independent datasets to test them. This study therefore conducted a comprehensive literature review on existing empirical and kinetic models that estimate the bioaccumulation of organic chemicals in earthworms and gathered two independent datasets from published literature to evaluate the predictive performance of these models. The Belfroid et al. (1995a) model is the best-performing empirical model, with 91.2% of earthworm body residue simulations within an order of magnitude of observation. However, this model is limited to the more hydrophobic pesticides and to the earthworm species Eisenia fetida or Eisenia andrei. The kinetic model proposed by Jager et al. (2003b) which out-performs that of Armitage and Gobas (2007), predicted uptake of PCB 153 in the earthworm E. andrei to within a factor of 10. However, the applicability of Jager et al.'s model to other organic compounds and other earthworm species is unknown due to the limited evaluation dataset. The model needs to be parameterised for different chemical, soil, and species types prior to use, which restricts its applicability to risk assessment on a broad scale. Both the empirical and kinetic models leave room for improvement in their ability to reliably predict bioaccumulation in earthworms. Whether they are fit for purpose in environmental risk assessment needs careful consideration on a case by case basis.

Identifiants

pubmed: 38520811
pii: S0147-6513(24)00316-6
doi: 10.1016/j.ecoenv.2024.116240
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

116240

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Jun Li (J)

Department of Environment and Geography, University of York, York YO10 5NG, UK. Electronic address: jun.li@york.ac.uk.

Mark E Hodson (ME)

Department of Environment and Geography, University of York, York YO10 5NG, UK.

Colin D Brown (CD)

Department of Environment and Geography, University of York, York YO10 5NG, UK.

Melanie J Bottoms (MJ)

Syngenta Ltd, Jealotts Hill International Research Centre, Warfield, Bracknell RG42 6EY, UK.

Roman Ashauer (R)

Department of Environment and Geography, University of York, York YO10 5NG, UK; Syngenta Crop Protection AG Rosentalstr, Basel 67 4058, Switzerland.

Tania Alvarez (T)

Syngenta Ltd, Jealotts Hill International Research Centre, Warfield, Bracknell RG42 6EY, UK.

Classifications MeSH