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Article: Model for Predicting Toxicities of Metals and Metalloids in Coastal Marine Environments Worldwide

TitleModel for Predicting Toxicities of Metals and Metalloids in Coastal Marine Environments Worldwide
Authors
KeywordsClimate change
Climate models
Computational chemistry
Decision making
Ecosystems
Issue Date2018
PublisherAmerican Chemical Society. The Journal's web site is located at http://pubs.acs.org/journal/esthag
Citation
Environmental Science & Technology, 2018, v. 52 n. 7, p. 4199-4206 How to Cite?
AbstractMetals can pose hazards to marine species and can adversely affect structures and functions of communities of marine species. However, little is known about how structural properties of metal atoms combined with current geographical and climatic conditions affect their toxic potencies. A mathematical model, based on quantitative structure–activity relationships and species sensitivity distributions (QSAR-SSD) was developed by use of acute toxicities of six metals (Cd, Cr, Cu, Hg, Ni, and Zn) to eight marine species and accessory environmental conditions. The model was then used to predict toxicities of 31 metals and metalloids and then to investigate relationships between acute water quality criteria (WQC) and environmental conditions in coastal marine environments. The model was also used to predict WQC in the coastal areas of different countries. Given global climate change, the QSAR-SSD model allows development of WQC for metals that will be protective of marine ecosystems under various conditions related to changes in global climate. This approach could be of enormous benefit in delivering an evidence-based approach to support regulatory decision making in management of metal and metalloids in marine waters.
Persistent Identifierhttp://hdl.handle.net/10722/277587
ISSN
2017 Impact Factor: 6.653
2015 SCImago Journal Rankings: 2.664

 

DC FieldValueLanguage
dc.contributor.authorMu, Y-
dc.contributor.authorWANG, Z-
dc.contributor.authorWu, F-
dc.contributor.authorZhong, B-
dc.contributor.authorYang, M-
dc.contributor.authorSun, F-
dc.contributor.authorFeng, C-
dc.contributor.authorJin, X-
dc.contributor.authorLeung, KMY-
dc.contributor.authorGiesy, JP-
dc.date.accessioned2019-09-20T08:53:53Z-
dc.date.available2019-09-20T08:53:53Z-
dc.date.issued2018-
dc.identifier.citationEnvironmental Science & Technology, 2018, v. 52 n. 7, p. 4199-4206-
dc.identifier.issn0013-936X-
dc.identifier.urihttp://hdl.handle.net/10722/277587-
dc.description.abstractMetals can pose hazards to marine species and can adversely affect structures and functions of communities of marine species. However, little is known about how structural properties of metal atoms combined with current geographical and climatic conditions affect their toxic potencies. A mathematical model, based on quantitative structure–activity relationships and species sensitivity distributions (QSAR-SSD) was developed by use of acute toxicities of six metals (Cd, Cr, Cu, Hg, Ni, and Zn) to eight marine species and accessory environmental conditions. The model was then used to predict toxicities of 31 metals and metalloids and then to investigate relationships between acute water quality criteria (WQC) and environmental conditions in coastal marine environments. The model was also used to predict WQC in the coastal areas of different countries. Given global climate change, the QSAR-SSD model allows development of WQC for metals that will be protective of marine ecosystems under various conditions related to changes in global climate. This approach could be of enormous benefit in delivering an evidence-based approach to support regulatory decision making in management of metal and metalloids in marine waters.-
dc.languageeng-
dc.publisherAmerican Chemical Society. The Journal's web site is located at http://pubs.acs.org/journal/esthag-
dc.relation.ispartofEnvironmental Science & Technology-
dc.rightsThis document is the Accepted Manuscript version of a Published Work that appeared in final form in [JournalTitle], copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see [insert ACS Articles on Request author-directed link to Published Work, see http://pubs.acs.org/page/policy/articlesonrequest/index.html].-
dc.subjectClimate change-
dc.subjectClimate models-
dc.subjectComputational chemistry-
dc.subjectDecision making-
dc.subjectEcosystems-
dc.titleModel for Predicting Toxicities of Metals and Metalloids in Coastal Marine Environments Worldwide-
dc.typeArticle-
dc.identifier.emailLeung, KMY: kmyleung@hku.hk-
dc.identifier.authorityLeung, KMY=rp00733-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1021/acs.est.7b06654-
dc.identifier.pmid29537832-
dc.identifier.scopuseid_2-s2.0-85044986845-
dc.identifier.hkuros305555-
dc.identifier.volume52-
dc.identifier.issue7-
dc.identifier.spage4199-
dc.identifier.epage4206-
dc.publisher.placeUnited States-

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