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Dataset-based assessment of heavy metal contamination in freshwater fishes and their health risks
The ecological risks and health hazards of heavy metals pollution in Taihu Lake have received widespread concern. This study has developed a species-pollution dataset which includes a large amount of data on heavy metal pollution in Taihu fish. The heavy metal contamination poses a significant threa...
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Published in: | Environmental science and pollution research international 2022-07, Vol.29 (33), p.49985-49997 |
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creator | Liu, Xiao-Bo Lin, Congtian Wu, Yang-Yu Huang, Hai-Ning Zhu, Li-Ting Jiang, Ru Huang, Qiansheng |
description | The ecological risks and health hazards of heavy metals pollution in Taihu Lake have received widespread concern. This study has developed a species-pollution dataset which includes a large amount of data on heavy metal pollution in Taihu fish. The heavy metal contamination poses a significant threat to human consumption, but no studies have been conducted to assess the risk of exposure to consumption of these fish and to make recommendations for their consumption. In this study, we systematically integrated the relevant data in the dataset, analyzed its contamination level using PI (single pollution index) and MPI (metal pollution index) models, and assessed health hazards of fish consumption using THQ (target hazard quotient) and ILCR (incremental lifetime cancer risk) models. Results showed that the contamination levels of heavy metals in fish varied in a feeding habit and living habit dependent manner. The risk of non-cancer health is the highest from consuming omnivorous fish, then from carnivorous and herbivorous fish. The ILCR model predicted that the long-term Taihu consumption of omnivorous fish may pose a potential carcinogenic risk, especially for children. In all, our study provided a comprehensive understanding on the risk of heavy metals in Taihu. Accordingly, it is recommended that children should try to choose herbivorous fish when consuming fish from Taihu Lake while avoiding long-term consumption of omnivorous fish. |
doi_str_mv | 10.1007/s11356-022-19427-0 |
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This study has developed a species-pollution dataset which includes a large amount of data on heavy metal pollution in Taihu fish. The heavy metal contamination poses a significant threat to human consumption, but no studies have been conducted to assess the risk of exposure to consumption of these fish and to make recommendations for their consumption. In this study, we systematically integrated the relevant data in the dataset, analyzed its contamination level using PI (single pollution index) and MPI (metal pollution index) models, and assessed health hazards of fish consumption using THQ (target hazard quotient) and ILCR (incremental lifetime cancer risk) models. Results showed that the contamination levels of heavy metals in fish varied in a feeding habit and living habit dependent manner. The risk of non-cancer health is the highest from consuming omnivorous fish, then from carnivorous and herbivorous fish. The ILCR model predicted that the long-term Taihu consumption of omnivorous fish may pose a potential carcinogenic risk, especially for children. In all, our study provided a comprehensive understanding on the risk of heavy metals in Taihu. Accordingly, it is recommended that children should try to choose herbivorous fish when consuming fish from Taihu Lake while avoiding long-term consumption of omnivorous fish.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-022-19427-0</identifier><identifier>PMID: 35224696</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Animals ; Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Cancer ; Carcinogens ; Child ; Children ; China ; Consumption ; Contamination ; Datasets ; Earth and Environmental Science ; Ecotoxicology ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental Monitoring ; Environmental science ; Fish ; Fishes ; Food Contamination - analysis ; Freshwater fish ; Hazard assessment ; Health hazards ; Health risks ; Heavy metals ; Herbivorous fish ; Humans ; Lakes ; Metals ; Metals, Heavy - analysis ; Pollution ; Pollution index ; Quotients ; Research Article ; Risk Assessment ; Waste Water Technology ; Water Management ; Water Pollutants, Chemical - analysis ; Water Pollution Control</subject><ispartof>Environmental science and pollution research international, 2022-07, Vol.29 (33), p.49985-49997</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022</rights><rights>2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-614b27c31ba72e90f2f3d6a7a503175af6b46f26eb8ca4670e4a469b82256ce73</citedby><cites>FETCH-LOGICAL-c375t-614b27c31ba72e90f2f3d6a7a503175af6b46f26eb8ca4670e4a469b82256ce73</cites><orcidid>0000-0002-3788-3164</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2688283049/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2688283049?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,27924,27925,36060,44363,74895</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35224696$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Xiao-Bo</creatorcontrib><creatorcontrib>Lin, Congtian</creatorcontrib><creatorcontrib>Wu, Yang-Yu</creatorcontrib><creatorcontrib>Huang, Hai-Ning</creatorcontrib><creatorcontrib>Zhu, Li-Ting</creatorcontrib><creatorcontrib>Jiang, Ru</creatorcontrib><creatorcontrib>Huang, Qiansheng</creatorcontrib><title>Dataset-based assessment of heavy metal contamination in freshwater fishes and their health risks</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>The ecological risks and health hazards of heavy metals pollution in Taihu Lake have received widespread concern. This study has developed a species-pollution dataset which includes a large amount of data on heavy metal pollution in Taihu fish. The heavy metal contamination poses a significant threat to human consumption, but no studies have been conducted to assess the risk of exposure to consumption of these fish and to make recommendations for their consumption. In this study, we systematically integrated the relevant data in the dataset, analyzed its contamination level using PI (single pollution index) and MPI (metal pollution index) models, and assessed health hazards of fish consumption using THQ (target hazard quotient) and ILCR (incremental lifetime cancer risk) models. Results showed that the contamination levels of heavy metals in fish varied in a feeding habit and living habit dependent manner. The risk of non-cancer health is the highest from consuming omnivorous fish, then from carnivorous and herbivorous fish. The ILCR model predicted that the long-term Taihu consumption of omnivorous fish may pose a potential carcinogenic risk, especially for children. In all, our study provided a comprehensive understanding on the risk of heavy metals in Taihu. Accordingly, it is recommended that children should try to choose herbivorous fish when consuming fish from Taihu Lake while avoiding long-term consumption of omnivorous fish.</description><subject>Animals</subject><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Cancer</subject><subject>Carcinogens</subject><subject>Child</subject><subject>Children</subject><subject>China</subject><subject>Consumption</subject><subject>Contamination</subject><subject>Datasets</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental Monitoring</subject><subject>Environmental science</subject><subject>Fish</subject><subject>Fishes</subject><subject>Food Contamination - analysis</subject><subject>Freshwater fish</subject><subject>Hazard assessment</subject><subject>Health hazards</subject><subject>Health risks</subject><subject>Heavy metals</subject><subject>Herbivorous fish</subject><subject>Humans</subject><subject>Lakes</subject><subject>Metals</subject><subject>Metals, Heavy - analysis</subject><subject>Pollution</subject><subject>Pollution index</subject><subject>Quotients</subject><subject>Research Article</subject><subject>Risk Assessment</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollutants, Chemical - analysis</subject><subject>Water Pollution 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fishes and their health risks</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2022-07</date><risdate>2022</risdate><volume>29</volume><issue>33</issue><spage>49985</spage><epage>49997</epage><pages>49985-49997</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>The ecological risks and health hazards of heavy metals pollution in Taihu Lake have received widespread concern. This study has developed a species-pollution dataset which includes a large amount of data on heavy metal pollution in Taihu fish. The heavy metal contamination poses a significant threat to human consumption, but no studies have been conducted to assess the risk of exposure to consumption of these fish and to make recommendations for their consumption. In this study, we systematically integrated the relevant data in the dataset, analyzed its contamination level using PI (single pollution index) and MPI (metal pollution index) models, and assessed health hazards of fish consumption using THQ (target hazard quotient) and ILCR (incremental lifetime cancer risk) models. Results showed that the contamination levels of heavy metals in fish varied in a feeding habit and living habit dependent manner. The risk of non-cancer health is the highest from consuming omnivorous fish, then from carnivorous and herbivorous fish. The ILCR model predicted that the long-term Taihu consumption of omnivorous fish may pose a potential carcinogenic risk, especially for children. In all, our study provided a comprehensive understanding on the risk of heavy metals in Taihu. Accordingly, it is recommended that children should try to choose herbivorous fish when consuming fish from Taihu Lake while avoiding long-term consumption of omnivorous fish.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>35224696</pmid><doi>10.1007/s11356-022-19427-0</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-3788-3164</orcidid></addata></record> |
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subjects | Animals Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Cancer Carcinogens Child Children China Consumption Contamination Datasets Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental Health Environmental Monitoring Environmental science Fish Fishes Food Contamination - analysis Freshwater fish Hazard assessment Health hazards Health risks Heavy metals Herbivorous fish Humans Lakes Metals Metals, Heavy - analysis Pollution Pollution index Quotients Research Article Risk Assessment Waste Water Technology Water Management Water Pollutants, Chemical - analysis Water Pollution Control |
title | Dataset-based assessment of heavy metal contamination in freshwater fishes and their health risks |
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