Advances in freshwater risk assessment: improved accuracy of dissolved organic matter-metal speciation prediction and rapid biological validation.
Metal complexation with natural ligands
Pb and heavy metal pollution
Speciation and biotic ligand models
Taihu biogeochemistry
Terrestrial bioavailability and environmental risk assessment
whole-cell bioreporter and biosensors
Journal
Ecotoxicology and environmental safety
ISSN: 1090-2414
Titre abrégé: Ecotoxicol Environ Saf
Pays: Netherlands
ID NLM: 7805381
Informations de publication
Date de publication:
01 Oct 2020
01 Oct 2020
Historique:
received:
11
03
2020
revised:
27
05
2020
accepted:
01
06
2020
pubmed:
23
6
2020
medline:
28
8
2020
entrez:
23
6
2020
Statut:
ppublish
Résumé
Speciation modeling of bioavailability has increasingly been used for environmental risk assessment (ERA). Heavy metal pollution is the most prevalent environmental pollution issue globally, and metal bioavailability is strongly affected by its chemical speciation. Dissolved organic matter (DOM) in freshwater will bind heavy metals thereby reducing bioavailability. While speciation modeling has been shown to be quite effective and is validated for use in ERA, there is an increasing body of literature reporting problems with the accuracy of metal-DOM binding in speciation models. In this study, we address this issue for a regional-scale field area (Lake Tai, with 2,400 km
Identifiants
pubmed: 32570102
pii: S0147-6513(20)30687-4
doi: 10.1016/j.ecoenv.2020.110848
pii:
doi:
Substances chimiques
Metals, Heavy
0
Water Pollutants, Chemical
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
110848Informations de copyright
Copyright © 2020 Elsevier Inc. All rights reserved.