Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:Environmental science and pollution research international 2022-07, Vol.29 (33), p.49985-49997
Main Authors: Liu, Xiao-Bo, Lin, Congtian, Wu, Yang-Yu, Huang, Hai-Ning, Zhu, Li-Ting, Jiang, Ru, Huang, Qiansheng
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c375t-614b27c31ba72e90f2f3d6a7a503175af6b46f26eb8ca4670e4a469b82256ce73
cites cdi_FETCH-LOGICAL-c375t-614b27c31ba72e90f2f3d6a7a503175af6b46f26eb8ca4670e4a469b82256ce73
container_end_page 49997
container_issue 33
container_start_page 49985
container_title Environmental science and pollution research international
container_volume 29
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
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2688283049</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2688283049</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-614b27c31ba72e90f2f3d6a7a503175af6b46f26eb8ca4670e4a469b82256ce73</originalsourceid><addsrcrecordid>eNp9kEtPHDEQhC0UBMvjD3CILOVs8Gvs8TEi5CEhcYGz1TPbzgzszBC3F8S_j8kScsul69BV1a2PsTMlz5WU_oKUMo0TUmuhgtVeyD22Uk5Z4W0IH9hKBmuFMtYesiOieym1DNofsEPTaG1dcCsGX6AAYRFdnWsOREg04Vz4kviA8PTCJyyw4f0yF5jGGcq4zHycecpIwzMUzDyNNCBxmNe8DDjm1-CmDDyP9EAnbD_BhvD0TY_Z3der28vv4vrm24_Lz9eiN74por7dad8b1YHXGGTSyawdeGikUb6B5DrrknbYtT1Y5yXaKqFrtW5cj94cs0-73se8_NoilXi_bPNcT0bt2la3RtpQXXrn6vNClDHFxzxOkF-ikvGVatxRjZVq_EM1yhr6-Fa97SZcv0f-YqwGszNQXc0_Mf-7_Z_a39vigxg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2688283049</pqid></control><display><type>article</type><title>Dataset-based assessment of heavy metal contamination in freshwater fishes and their health risks</title><source>ABI/INFORM Global</source><source>Springer Nature</source><creator>Liu, Xiao-Bo ; Lin, Congtian ; Wu, Yang-Yu ; Huang, Hai-Ning ; Zhu, Li-Ting ; Jiang, Ru ; Huang, Qiansheng</creator><creatorcontrib>Liu, Xiao-Bo ; Lin, Congtian ; Wu, Yang-Yu ; Huang, Hai-Ning ; Zhu, Li-Ting ; Jiang, Ru ; Huang, Qiansheng</creatorcontrib><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><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 Control</subject><issn>0944-1344</issn><issn>1614-7499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNp9kEtPHDEQhC0UBMvjD3CILOVs8Gvs8TEi5CEhcYGz1TPbzgzszBC3F8S_j8kScsul69BV1a2PsTMlz5WU_oKUMo0TUmuhgtVeyD22Uk5Z4W0IH9hKBmuFMtYesiOieym1DNofsEPTaG1dcCsGX6AAYRFdnWsOREg04Vz4kviA8PTCJyyw4f0yF5jGGcq4zHycecpIwzMUzDyNNCBxmNe8DDjm1-CmDDyP9EAnbD_BhvD0TY_Z3der28vv4vrm24_Lz9eiN74por7dad8b1YHXGGTSyawdeGikUb6B5DrrknbYtT1Y5yXaKqFrtW5cj94cs0-73se8_NoilXi_bPNcT0bt2la3RtpQXXrn6vNClDHFxzxOkF-ikvGVatxRjZVq_EM1yhr6-Fa97SZcv0f-YqwGszNQXc0_Mf-7_Z_a39vigxg</recordid><startdate>202207</startdate><enddate>202207</enddate><creator>Liu, Xiao-Bo</creator><creator>Lin, Congtian</creator><creator>Wu, Yang-Yu</creator><creator>Huang, Hai-Ning</creator><creator>Zhu, Li-Ting</creator><creator>Jiang, Ru</creator><creator>Huang, Qiansheng</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7SN</scope><scope>7T7</scope><scope>7TV</scope><scope>7U7</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-3788-3164</orcidid></search><sort><creationdate>202207</creationdate><title>Dataset-based assessment of heavy metal contamination in freshwater fishes and their health risks</title><author>Liu, Xiao-Bo ; Lin, Congtian ; Wu, Yang-Yu ; Huang, Hai-Ning ; Zhu, Li-Ting ; Jiang, Ru ; Huang, Qiansheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-614b27c31ba72e90f2f3d6a7a503175af6b46f26eb8ca4670e4a469b82256ce73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Animals</topic><topic>Aquatic Pollution</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Cancer</topic><topic>Carcinogens</topic><topic>Child</topic><topic>Children</topic><topic>China</topic><topic>Consumption</topic><topic>Contamination</topic><topic>Datasets</topic><topic>Earth and Environmental Science</topic><topic>Ecotoxicology</topic><topic>Environment</topic><topic>Environmental Chemistry</topic><topic>Environmental Health</topic><topic>Environmental Monitoring</topic><topic>Environmental science</topic><topic>Fish</topic><topic>Fishes</topic><topic>Food Contamination - analysis</topic><topic>Freshwater fish</topic><topic>Hazard assessment</topic><topic>Health hazards</topic><topic>Health risks</topic><topic>Heavy metals</topic><topic>Herbivorous fish</topic><topic>Humans</topic><topic>Lakes</topic><topic>Metals</topic><topic>Metals, Heavy - analysis</topic><topic>Pollution</topic><topic>Pollution index</topic><topic>Quotients</topic><topic>Research Article</topic><topic>Risk Assessment</topic><topic>Waste Water Technology</topic><topic>Water Management</topic><topic>Water Pollutants, Chemical - analysis</topic><topic>Water Pollution Control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><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><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Pollution Abstracts</collection><collection>Toxicology Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Environmental science and pollution research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Xiao-Bo</au><au>Lin, Congtian</au><au>Wu, Yang-Yu</au><au>Huang, Hai-Ning</au><au>Zhu, Li-Ting</au><au>Jiang, Ru</au><au>Huang, Qiansheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dataset-based assessment of heavy metal contamination in freshwater 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>
fulltext fulltext
identifier ISSN: 0944-1344
ispartof Environmental science and pollution research international, 2022-07, Vol.29 (33), p.49985-49997
issn 0944-1344
1614-7499
language eng
recordid cdi_proquest_journals_2688283049
source ABI/INFORM Global; Springer Nature
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T17%3A30%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Dataset-based%20assessment%20of%20heavy%20metal%20contamination%20in%20freshwater%20fishes%20and%20their%20health%20risks&rft.jtitle=Environmental%20science%20and%20pollution%20research%20international&rft.au=Liu,%20Xiao-Bo&rft.date=2022-07&rft.volume=29&rft.issue=33&rft.spage=49985&rft.epage=49997&rft.pages=49985-49997&rft.issn=0944-1344&rft.eissn=1614-7499&rft_id=info:doi/10.1007/s11356-022-19427-0&rft_dat=%3Cproquest_cross%3E2688283049%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c375t-614b27c31ba72e90f2f3d6a7a503175af6b46f26eb8ca4670e4a469b82256ce73%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2688283049&rft_id=info:pmid/35224696&rfr_iscdi=true