Development of Quantitative Ion Character – Activity Relationship Models to Address the Lack of Toxicological Data for Technology‐Critical Elements

Autor: Jelle Mertens, Amiel Boullemant, Eric Van Genderen, Séverine Le Faucheur, Peter G. C. Campbell, Claude Fortin
Přispěvatelé: Institut des sciences analytiques et de physico-chimie pour l'environnement et les materiaux (IPREM), Université de Pau et des Pays de l'Adour (UPPA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), University of Geneva [Switzerland], RIO TINTO, Centre Eau Terre Environnement [Québec] (INRS - ETE), Institut National de la Recherche Scientifique [Québec] (INRS), Metals Environmental Research Associations (MERA)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Aquatic Organisms
Technology
Ge
Health
Toxicology and Mutagenesis
chemistry.chemical_element
010501 environmental sciences
In
Platinum group elements
01 natural sciences
Rhodium
Metal
03 medical and health sciences
Algae
[CHIM.ANAL]Chemical Sciences/Analytical chemistry
Linear regression
Environmental Chemistry
Animals
Re
030304 developmental biology
0105 earth and related environmental sciences
Ions
0303 health sciences
biology
Fishes
Quantitative ion character–activity relationships
[CHIM.MATE]Chemical Sciences/Material chemistry
biology.organism_classification
Ruthenium
[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry
[CHIM.POLY]Chemical Sciences/Polymers
chemistry
13. Climate action
Metals
visual_art
Environmental chemistry
Precious metals
Toxicity
visual_art.visual_art_medium
Platinum
Palladium
Zdroj: Environmental Toxicology and Chemistry
Environmental Toxicology and Chemistry, Wiley, 2021, 40 (4), pp.1139-1148. ⟨10.1002/etc.4960⟩
ISSN: 0730-7268
1552-8618
DOI: 10.1002/etc.4960⟩
Popis: Recent industrial developments have resulted in an increase in the use of so-called technology-critical elements (TCEs), for which the potential impacts on aquatic biota remain to be evaluated. In the present study, quantitative ion character-activity relationships (QICARs) have been developed to relate intrinsic metal properties to their toxicity toward freshwater aquatic organisms. In total, 23 metal properties were tested as predictors of acute median effect concentration (EC50) values for 12 data-rich metals, for algae, daphnids, and fish (with and without species distinction). Simple and multiple linear regressions were developed using the toxicological data expressed as a function of the total dissolved metal concentrations. The best regressions were then tested by comparing the predicted EC50 values for the TCEs (germanium, indium, gold, and rhenium) and platinum group elements (iridium, platinum, palladium, rhodium, and ruthenium) with the few measured values that are available. The 8 "best" QICAR models (adjusted r2 > 0.6) used the covalent index as the predictor. For a given metal ion, this composite parameter is a measure of the importance of covalent interactions relative to ionic interactions. Toxicity was reasonably well predicted for most of the TCEs, with values falling within the 95% prediction intervals for the regressions of the measured versus predicted EC50 values. Exceptions included Au(I) (all test organisms), Au(III) (algae and fish), Pt(II) (algae, daphnids), Ru(III) (daphnids), and Rh(III) (daphnids, fish). We conclude that QICARs show potential as a screening tool to review toxicity data and flag "outliers," which might need further scrutiny, and as an interpolating or extrapolating tool to predict TCE toxicity. Environ Toxicol Chem 2021;40:1139-1148. © 2020 SETAC.
Databáze: OpenAIRE
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