Applying enzymatic biomarkers of the in situ microbial community to assess the sediment risk from Sepetiba Bay (Brazil).

Autor: Moreira VA; Programa de Pós-Graduação em Geociências (Geoquímica), Instituto de Química, Universidade Federal Fluminense, Niterói, RJ 24020-150, Brazil. Electronic address: almeida.vanessamoreira@gmail.com., Carvalho ACB; Programa de Pós-Graduação em Geociências (Geoquímica), Instituto de Química, Universidade Federal Fluminense, Niterói, RJ 24020-150, Brazil., Fontana LF; Universidade Federal do Estado do Rio de Janeiro - UNIRIO, Laboratório de Micropaleontologia - LABMICRO, Av. Pasteur 458, s. 500, Urca, Rio de Janeiro CEP 22290-240, RJ, Brazil., Bidone ED; Programa de Pós-Graduação em Geociências (Geoquímica), Instituto de Química, Universidade Federal Fluminense, Niterói, RJ 24020-150, Brazil., Sabadini-Santos E; Programa de Pós-Graduação em Geociências (Geoquímica), Instituto de Química, Universidade Federal Fluminense, Niterói, RJ 24020-150, Brazil.
Jazyk: angličtina
Zdroj: Marine pollution bulletin [Mar Pollut Bull] 2021 Aug; Vol. 169, pp. 112547. Date of Electronic Publication: 2021 Jun 09.
DOI: 10.1016/j.marpolbul.2021.112547
Abstrakt: The Quality Ratio (QR) index was applied in Sepetiba Bay to integrate geochemical and microbiological parameters of the in situ microbial community in order to classify the ecological risk of sediments. Total concentrations (C) of Hg, Cd, As, Pb, Cr, Cu and Zn (indicators of the mixture of contaminants) were determined at 26 stations and at a background area (C 0 ) to calculate the contamination factor (CF = C/C 0 ) and the degree of contamination (ΣCF). Enzymatic biomarkers of energy production into cell (dehydrogenase - DHA) and hydrolase of organic matter outside the cell (esterases - EST) were determined. The QR, a function of the microbial term (DHA/EST) and the geochemical term (TOC × ΣCF/fine-grained content), was able to segregate stations into the internal sector (east of the bay with the largest continental contributions) and the external sector (west of the bay), proving its accessibility (low-cost and fast) and efficiency for assessing ecological risk.
(Copyright © 2021 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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