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1.
Mar Pollut Bull ; 156: 111219, 2020 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-32366367

RESUMO

Large amounts of crude oil were found along Brazil's northeast and southeast seaboard from August 2019 to January 2020. Petroleum companies and oil tankers reported no accidents previously or during this period. The stranded oil on Brazilian beaches looks like tar; it has solid aspect and is denser than seawater. Chemical characterization of this oil showed that light hydrocarbons were still present, increasing the probability of negative effects to coastal organisms and ecosystems upon release in the water column. Diagnostic ratios, chromatogram pattern, and percentage-weathering plots proved that the oil samples share the same oil source. This work provides data for future comparison with oil samples that will likely be found stranded along the Brazilian shoreline in the years to come, helping to understand long term issues associated with the mysterious oil spill that made landfall in late 2019.


Assuntos
Poluição por Petróleo , Petróleo/análise , Poluentes Químicos da Água/análise , Brasil , Ecossistema , Monitoramento Ambiental
2.
Mar Pollut Bull ; 156: 111272, 2020 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-32510411

RESUMO

This study evaluated the toxicity of benzene, toluene, and xylenes (BTX), isolated and in binary mixtures to Mysidopsis juniae. The organisms were exposed to BTX, and combined effect patterns were predicted by applying the theoretical models of Concentration Addition and Independent Action. According to the LC50 of the isolated compounds, xylene (16.1 ± 2.4 mg L-1) was considered the most toxic, followed by toluene (38.0 ± 5.3 mg L-1) and, lastly, benzene (78.0 ± 2.9 mg L-1). The binary combinations showed deviations from additivity, with exposure to the xylene-benzene mixture presenting as antagonistic, while the xylene-toluene and toluene-benzene mixtures were better explained by a dose ratio deviation, with toluene being responsible for the antagonistic pattern. This study provides new insights into toxicity prediction of a BTX mixture, which adds value to the risk assessment procedure over evaluation of chemical hazards on a case-by-case basis.


Assuntos
Benzeno , Xilenos , Tolueno
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