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Prediction of the toxic effects of (agro) chemical mixtures on organisms using simple time-based models

The lethal effect of a chemical acting alone can be predicted using the simple hyperbolic model, which relies on the chemicals' median lethal time (LT(50)). However, this model cannot be used to predict mixture toxicity, considering that toxicity in natural ecosystems often results from exposur...

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Autor principal: Kanu, Kingsley Chukwuemeka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9761840/
https://www.ncbi.nlm.nih.gov/pubmed/36545547
http://dx.doi.org/10.1016/j.mex.2022.101956
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author Kanu, Kingsley Chukwuemeka
author_facet Kanu, Kingsley Chukwuemeka
author_sort Kanu, Kingsley Chukwuemeka
collection PubMed
description The lethal effect of a chemical acting alone can be predicted using the simple hyperbolic model, which relies on the chemicals' median lethal time (LT(50)). However, this model cannot be used to predict mixture toxicity, considering that toxicity in natural ecosystems often results from exposure to mixtures rather than single chemicals. The lethal time addition method was developed to calculate the LT(50) of a pesticide mixture from the LT(50) of its components. It enables the hyperbolic model to estimate the lethal effects of a mix of pesticides at various exposure times. The hyperbolic model, complemented by the lethal-time addition model, predicted the percentage mortality of Clarias gariepinus and Oreochromis niloticus exposed to binary and quaternary mixtures of atrazine, mancozeb, chlorpyrifos, and lambda-cyhalothrin and estimated the 96 hr LC(50) of the pesticide mixture.
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spelling pubmed-97618402022-12-20 Prediction of the toxic effects of (agro) chemical mixtures on organisms using simple time-based models Kanu, Kingsley Chukwuemeka MethodsX Environmental Science The lethal effect of a chemical acting alone can be predicted using the simple hyperbolic model, which relies on the chemicals' median lethal time (LT(50)). However, this model cannot be used to predict mixture toxicity, considering that toxicity in natural ecosystems often results from exposure to mixtures rather than single chemicals. The lethal time addition method was developed to calculate the LT(50) of a pesticide mixture from the LT(50) of its components. It enables the hyperbolic model to estimate the lethal effects of a mix of pesticides at various exposure times. The hyperbolic model, complemented by the lethal-time addition model, predicted the percentage mortality of Clarias gariepinus and Oreochromis niloticus exposed to binary and quaternary mixtures of atrazine, mancozeb, chlorpyrifos, and lambda-cyhalothrin and estimated the 96 hr LC(50) of the pesticide mixture. Elsevier 2022-12-02 /pmc/articles/PMC9761840/ /pubmed/36545547 http://dx.doi.org/10.1016/j.mex.2022.101956 Text en © 2022 The Author https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Environmental Science
Kanu, Kingsley Chukwuemeka
Prediction of the toxic effects of (agro) chemical mixtures on organisms using simple time-based models
title Prediction of the toxic effects of (agro) chemical mixtures on organisms using simple time-based models
title_full Prediction of the toxic effects of (agro) chemical mixtures on organisms using simple time-based models
title_fullStr Prediction of the toxic effects of (agro) chemical mixtures on organisms using simple time-based models
title_full_unstemmed Prediction of the toxic effects of (agro) chemical mixtures on organisms using simple time-based models
title_short Prediction of the toxic effects of (agro) chemical mixtures on organisms using simple time-based models
title_sort prediction of the toxic effects of (agro) chemical mixtures on organisms using simple time-based models
topic Environmental Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9761840/
https://www.ncbi.nlm.nih.gov/pubmed/36545547
http://dx.doi.org/10.1016/j.mex.2022.101956
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