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DOI10.1016/j.marpolbul.2019.110830
Evaluation of the bioaccumulation kinetics of toxic metals in fish (A. brasiliensis) and its application on monitoring of coastal ecosystems
Vieira T.C.; Rodrigues A.P.D.C.; Amaral P.M.G.; de Oliveira D.F.C.; Gonçalves R.A.; Rodrigues e Silva C.; Vasques R.O.; Malm O.; Silva-Filho E.V.; Godoy J.M.D.O.; Machado W.; Filippo A.; Bidone E.D.
发表日期2020
ISSN0025326X
卷号151
英文摘要This study proposes a pro-active approach for evaluations of methylmercury (MeHg), total mercury (THg), arsenic (As), cadmium (Cd) and lead (Pb) in situ bioaccumulation in fish (Atherinella brasiliensis) muscles, using specimens from the external sector of Guanabara Bay as a study case. This approach included an hierarchical sequence: analysis of the pollutants concentrations and their comparison to safety criteria; correlations between specimens concentrations vs length (as a proxy of exposure time); projections of concentrations in key lengths (sexual maturation, asymptotic, length limits for fishing and median of fish population) through polynomial regressions, dose-response analysis (Probit), decreasing curves and incorporation rates (using only three length intervals). The incorporation rates were ascending for MeHg and THg (continued bioaccumulation) and descending for As, Pb and Cd (possible biological dilution). The projections were satisfactory, evidencing their use for an improvement on the risks monitoring of fishing and fish consumption by humans in coastal environments. © 2019 Elsevier Ltd
英文关键词Incorporation rate model; Polynomial regressions; Probit model; Prognosis of metals concentrations
语种英语
scopus关键词Bioaccumulation; Biochemistry; Ecosystems; Fish; Fisheries; Mercury compounds; Bioaccumulation kinetics; Coastal environments; Dose-response analysis; Hierarchical sequences; Incorporation rates; Metals concentrations; Polynomial regression; Probit models; Fishing (oil wells); arsenic; cadmium; lead; mercury; methylmercury; toxic substance; mercury; metal; methylmercury derivative; arsenic; bioaccumulation; cadmium; concentration (composition); environmental monitoring; fish; lead; marine ecosystem; methylmercury; muscle; numerical model; regression analysis; toxic material; Article; Atherinella brasiliensis; bioaccumulation; coastal waters; concentration (parameter); controlled study; ecotoxicity; environmental impact; fish; geographic distribution; nonhuman; Rio de Janeiro (state); risk assessment; sequence analysis; sexual maturation; tissue distribution; toxicity testing; water analysis; water quality; animal; bioaccumulation; ecosystem; environmental monitoring; fish; human; kinetics; metabolism; physiology; water pollutant; Brazil; Guanabara Bay; Rio de Janeiro [Brazil]; Atherinella brasiliensis; Animals; Bioaccumulation; Ecosystem; Environmental Monitoring; Fishes; Humans; Kinetics; Mercury; Metals; Methylmercury Compounds; Water Pollutants, Chemical
来源期刊Marine Pollution Bulletin
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/149260
作者单位Post-graduation Program on Geochemistry, Universidade Federal FluminenseRJ, Brazil; Department of Marine Biology, Universidade Federal do Rio de JaneiroRJ, Brazil; Institute of Biophysics Carlos Chagas Filho, Universidade Federal do Rio de JaneiroRJ, Brazil; Institute of Chemistry, Pontífica Universidade Católica do Rio de JaneiroRJ, Brazil; Department of Zootechny and Development of Agricultural-social-environmental Sustainability, Universidade Federal FluminenseRJ, Brazil
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Vieira T.C.,Rodrigues A.P.D.C.,Amaral P.M.G.,et al. Evaluation of the bioaccumulation kinetics of toxic metals in fish (A. brasiliensis) and its application on monitoring of coastal ecosystems[J],2020,151.
APA Vieira T.C..,Rodrigues A.P.D.C..,Amaral P.M.G..,de Oliveira D.F.C..,Gonçalves R.A..,...&Bidone E.D..(2020).Evaluation of the bioaccumulation kinetics of toxic metals in fish (A. brasiliensis) and its application on monitoring of coastal ecosystems.Marine Pollution Bulletin,151.
MLA Vieira T.C.,et al."Evaluation of the bioaccumulation kinetics of toxic metals in fish (A. brasiliensis) and its application on monitoring of coastal ecosystems".Marine Pollution Bulletin 151(2020).
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