Bioaccumulation of Polycyclic Aromatic Hydrocarbons and Mercury in Oysters (Crassostrea rhizophorae) from Two Brazilian Estuarine Zones
Author(s) -
Ronaldo Torres,
Augusto César,
Camilo Dias Seabra Pereira,
Rodrigo Brasil Choueri,
Denis Moledo de Souza Abessa,
Marcos Roberto Lopes do Nascimento,
Pedro S. Fadini,
Antônio A. Mozeto
Publication year - 2012
Publication title -
international journal of oceanography
Language(s) - English
Resource type - Journals
eISSN - 1687-9414
pISSN - 1687-9406
DOI - 10.1155/2012/838320
Subject(s) - bioaccumulation , environmental chemistry , estuary , biomonitoring , contamination , environmental science , crassostrea , bioconcentration , mercury (programming language) , oyster , bioavailability , shellfish , polycyclic aromatic hydrocarbon , chemistry , ecology , fishery , biology , aquatic animal , fish <actinopterygii> , bioinformatics , computer science , programming language
Nowadays, organisms are increasingly being used in biomonitoring to assess bioavailability and bioaccumulation of contaminants. This approach can use both native and transplanted organisms in order to accomplish this task. In Brazil, most of the studies related to bioaccumulation of contaminants in oysters deal with metals. The present work employs this kind of test in Brazilian coastal estuaries (Santos and Paranaguá) to evaluate total mercury and polycyclic aromatic hydrocarbon contamination in sediments and oysters (native and caged Crassostrea rhizophorae). The methodologies employed were based on known USEPA methods. Results have shown a significant contamination in Santos sediments and consequent bioavailability of organisms. Paranaguá sediments presented lower contamination in sediments, but native oysters were able to accumulate total Hg. The experiments done with caged oysters did not show significant bioaccumulation of Hg and PAHs in the Paranaguá site, but proved to be an excellent tool to assess bioavailability in the Santos estuary since they were able to bioaccumulate up to 1,600% of total PAH in the samples from the inner part of this estuary when compared to control organisms. Multivariate statistical analyses employed to these results have separated the sites evaluated and the most contaminated samples from the least contaminated
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