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Quantitative prediction of mixture toxicity of AgNO(3) and ZnO nanoparticles on Daphnia magna
Once metal-based engineered nanoparticles (NPs) are released into the aquatic environment, they are expected to interact with other existing co-contaminants. A knowledge gap exists as to how the interaction of NPs with other co-contaminants occurs. Here we selected ZnO NPs among various NPs, with Ag...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476544/ https://www.ncbi.nlm.nih.gov/pubmed/32939159 http://dx.doi.org/10.1080/14686996.2020.1766343 |
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author | Baek, Min Jeong Son, Jino Park, Jayoung Seol, Yohan Sung, Baeckkyoung Kim, Young Jun |
author_facet | Baek, Min Jeong Son, Jino Park, Jayoung Seol, Yohan Sung, Baeckkyoung Kim, Young Jun |
author_sort | Baek, Min Jeong |
collection | PubMed |
description | Once metal-based engineered nanoparticles (NPs) are released into the aquatic environment, they are expected to interact with other existing co-contaminants. A knowledge gap exists as to how the interaction of NPs with other co-contaminants occurs. Here we selected ZnO NPs among various NPs, with Ag ion existing as a contaminant in the aquatic environment by Ag NPs widely used. A novel modeling strategy was demonstrated enabling quantitative and predictive evaluation of the aqueous mixture nanotoxicity. Individual and binary mixture toxicity tests of ZnO NPs and silver (as AgNO3) on Daphnia magna were conducted and compared to determine whether the presence of Ag ions affects the toxicity of ZnO NPs. Binary mixture toxicity was evaluated based on the concentration addition (CA) and independent action models. The CA dose-ratio dependent model was found to be the model of best fit for describing the pattern of mixture toxicity. The MIX I and MIX III suspensions (higher ratios of ZnO NPs to AgNO3) showed a synergism, whereas the MIX II suspension (lower ratio of ZnO NPs to AgNO3) showed an antagonism. The synergistic mixture toxicity at higher ratios of ZnO NPs to AgNO3 was caused by either the physiological or metabolic disturbance induced by the excessive ionic Zn or increased transport and accumulation in D. magna via the formation of complex of ionic Ag with ZnO NPs. Therefore, the toxicity level contributed via their aggregation and physicochemical properties and the dissolved ions played a crucial role in the mixture toxicities of the NPs. |
format | Online Article Text |
id | pubmed-7476544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-74765442020-09-15 Quantitative prediction of mixture toxicity of AgNO(3) and ZnO nanoparticles on Daphnia magna Baek, Min Jeong Son, Jino Park, Jayoung Seol, Yohan Sung, Baeckkyoung Kim, Young Jun Sci Technol Adv Mater Focus on Nanotoxicology Once metal-based engineered nanoparticles (NPs) are released into the aquatic environment, they are expected to interact with other existing co-contaminants. A knowledge gap exists as to how the interaction of NPs with other co-contaminants occurs. Here we selected ZnO NPs among various NPs, with Ag ion existing as a contaminant in the aquatic environment by Ag NPs widely used. A novel modeling strategy was demonstrated enabling quantitative and predictive evaluation of the aqueous mixture nanotoxicity. Individual and binary mixture toxicity tests of ZnO NPs and silver (as AgNO3) on Daphnia magna were conducted and compared to determine whether the presence of Ag ions affects the toxicity of ZnO NPs. Binary mixture toxicity was evaluated based on the concentration addition (CA) and independent action models. The CA dose-ratio dependent model was found to be the model of best fit for describing the pattern of mixture toxicity. The MIX I and MIX III suspensions (higher ratios of ZnO NPs to AgNO3) showed a synergism, whereas the MIX II suspension (lower ratio of ZnO NPs to AgNO3) showed an antagonism. The synergistic mixture toxicity at higher ratios of ZnO NPs to AgNO3 was caused by either the physiological or metabolic disturbance induced by the excessive ionic Zn or increased transport and accumulation in D. magna via the formation of complex of ionic Ag with ZnO NPs. Therefore, the toxicity level contributed via their aggregation and physicochemical properties and the dissolved ions played a crucial role in the mixture toxicities of the NPs. Taylor & Francis 2020-06-16 /pmc/articles/PMC7476544/ /pubmed/32939159 http://dx.doi.org/10.1080/14686996.2020.1766343 Text en © 2020 The Author(s). Published by National Institute for Materials Science in partnership with Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Focus on Nanotoxicology Baek, Min Jeong Son, Jino Park, Jayoung Seol, Yohan Sung, Baeckkyoung Kim, Young Jun Quantitative prediction of mixture toxicity of AgNO(3) and ZnO nanoparticles on Daphnia magna |
title | Quantitative prediction of mixture toxicity of AgNO(3) and ZnO nanoparticles on Daphnia magna |
title_full | Quantitative prediction of mixture toxicity of AgNO(3) and ZnO nanoparticles on Daphnia magna |
title_fullStr | Quantitative prediction of mixture toxicity of AgNO(3) and ZnO nanoparticles on Daphnia magna |
title_full_unstemmed | Quantitative prediction of mixture toxicity of AgNO(3) and ZnO nanoparticles on Daphnia magna |
title_short | Quantitative prediction of mixture toxicity of AgNO(3) and ZnO nanoparticles on Daphnia magna |
title_sort | quantitative prediction of mixture toxicity of agno(3) and zno nanoparticles on daphnia magna |
topic | Focus on Nanotoxicology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476544/ https://www.ncbi.nlm.nih.gov/pubmed/32939159 http://dx.doi.org/10.1080/14686996.2020.1766343 |
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