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Modeling Time‐Dependent Aquatic Toxicity of Hydrocarbons: Role of Organism Weight, Temperature, and Substance Hydrophobicity

Oil spill exposures are highly dynamic and are not comparable to laboratory exposures used in standard toxicity tests. Toxicokinetic–toxicodynamic (TKTD) models allow translation of effects observed in the laboratory to the field. To improve TKTD model calibration, new and previously published data...

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Autores principales: Redman, Aaron D., Parkerton, Thomas F., Letinski, Daniel J., Sutherland, Cary A., Butler, Josh D., Di Toro, Dominic M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9827832/
https://www.ncbi.nlm.nih.gov/pubmed/36102847
http://dx.doi.org/10.1002/etc.5476
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author Redman, Aaron D.
Parkerton, Thomas F.
Letinski, Daniel J.
Sutherland, Cary A.
Butler, Josh D.
Di Toro, Dominic M.
author_facet Redman, Aaron D.
Parkerton, Thomas F.
Letinski, Daniel J.
Sutherland, Cary A.
Butler, Josh D.
Di Toro, Dominic M.
author_sort Redman, Aaron D.
collection PubMed
description Oil spill exposures are highly dynamic and are not comparable to laboratory exposures used in standard toxicity tests. Toxicokinetic–toxicodynamic (TKTD) models allow translation of effects observed in the laboratory to the field. To improve TKTD model calibration, new and previously published data from 148 tests were analyzed to estimate rates characterizing the time course of toxicity for 10 fish and 42 invertebrate species across 37 hydrocarbons. A key parameter in the TKTD model is the first‐order rate that incorporates passive elimination, biotransformation, and damage repair processes. The results indicated that temperature (4–26 °C), organism size (0.0001–10 g), and substance log octanol–water partition coefficient (2–6) had limited influence on this parameter, which exhibited a 5th to 95th percentile range of 0.2–2.5 day(−1) (median 0.7 day(−1)). A species sensitivity distribution approach is proposed to quantify the variability of this parameter across taxa, with further studies needed for aliphatic hydrocarbons and plant species. Study findings allow existing oil spill models to be refined to improve effect predictions. Environ Toxicol Chem 2022;41:3070–3083. © 2022 ExxonMobil Biomedical Science Inc. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
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spelling pubmed-98278322023-01-10 Modeling Time‐Dependent Aquatic Toxicity of Hydrocarbons: Role of Organism Weight, Temperature, and Substance Hydrophobicity Redman, Aaron D. Parkerton, Thomas F. Letinski, Daniel J. Sutherland, Cary A. Butler, Josh D. Di Toro, Dominic M. Environ Toxicol Chem Hazard/Risk Assessment Oil spill exposures are highly dynamic and are not comparable to laboratory exposures used in standard toxicity tests. Toxicokinetic–toxicodynamic (TKTD) models allow translation of effects observed in the laboratory to the field. To improve TKTD model calibration, new and previously published data from 148 tests were analyzed to estimate rates characterizing the time course of toxicity for 10 fish and 42 invertebrate species across 37 hydrocarbons. A key parameter in the TKTD model is the first‐order rate that incorporates passive elimination, biotransformation, and damage repair processes. The results indicated that temperature (4–26 °C), organism size (0.0001–10 g), and substance log octanol–water partition coefficient (2–6) had limited influence on this parameter, which exhibited a 5th to 95th percentile range of 0.2–2.5 day(−1) (median 0.7 day(−1)). A species sensitivity distribution approach is proposed to quantify the variability of this parameter across taxa, with further studies needed for aliphatic hydrocarbons and plant species. Study findings allow existing oil spill models to be refined to improve effect predictions. Environ Toxicol Chem 2022;41:3070–3083. © 2022 ExxonMobil Biomedical Science Inc. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC. John Wiley and Sons Inc. 2022-10-28 2022-12 /pmc/articles/PMC9827832/ /pubmed/36102847 http://dx.doi.org/10.1002/etc.5476 Text en © 2022 ExxonMobil Biomedical Science Inc. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Hazard/Risk Assessment
Redman, Aaron D.
Parkerton, Thomas F.
Letinski, Daniel J.
Sutherland, Cary A.
Butler, Josh D.
Di Toro, Dominic M.
Modeling Time‐Dependent Aquatic Toxicity of Hydrocarbons: Role of Organism Weight, Temperature, and Substance Hydrophobicity
title Modeling Time‐Dependent Aquatic Toxicity of Hydrocarbons: Role of Organism Weight, Temperature, and Substance Hydrophobicity
title_full Modeling Time‐Dependent Aquatic Toxicity of Hydrocarbons: Role of Organism Weight, Temperature, and Substance Hydrophobicity
title_fullStr Modeling Time‐Dependent Aquatic Toxicity of Hydrocarbons: Role of Organism Weight, Temperature, and Substance Hydrophobicity
title_full_unstemmed Modeling Time‐Dependent Aquatic Toxicity of Hydrocarbons: Role of Organism Weight, Temperature, and Substance Hydrophobicity
title_short Modeling Time‐Dependent Aquatic Toxicity of Hydrocarbons: Role of Organism Weight, Temperature, and Substance Hydrophobicity
title_sort modeling time‐dependent aquatic toxicity of hydrocarbons: role of organism weight, temperature, and substance hydrophobicity
topic Hazard/Risk Assessment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9827832/
https://www.ncbi.nlm.nih.gov/pubmed/36102847
http://dx.doi.org/10.1002/etc.5476
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