Abstract
Sediments represent complex mixtures and the impacts of their physical and chemical processes on biota are important for assessing potential health risks. We aimed to rank sediment samples from Guanabara Bay by developing an algorithm (quality ratio—QR), focusing on key sediment parameters (fine grain size, total organic carbon (TOC), metal concentrations) and enzymatic activities (dehydrogenase (DHA-energy production into cell) and esterases (EST-hydrolase organic matter outside the cell membrane)) of in situ microbial communities. Our QR is supported by quantitative information and significant correlations between geochemical and microbial processes. The QR is a function of the dependent term DHA/EST and the geochemical term (TOC×∑CF)/fine-grained sediment, where ∑CF is the sum of contamination factors (ratio between actual and background metal concentrations). We could rank our sampling sites into three risk classes based on QR: low, medium, and high. Our findings suggest altered homeostasis due to the development of contamination resistance. We applied a sensitivity analysis, using Brazilian law for sediment quality assessment, to calibrate our risk index. Our QR is suitable for measuring the potential health risk of any sediment, especially in developing countries with serious technical limitations, since its evaluated parameters are cheap, fast, and easy to obtain.
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Acknowledgments
The authors appreciate the support from the staff of Laboratorio de Processos em Ecologia Microbiana (Universidade Federal Fluminense-UFF), Laboratorio de Palinofacies e Facies Orgânicas, and Laboratorio de Desenvolvimento Analítico (both from Universidade Federal do Rio de Janeiro-UFRJ) during data acquisition.
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The authors are thankful to the National Council for Scientific and Technological Development (CNPq) for financial support (universal process no. 449631/2014-1) and for providing a doctoral fellowship to the first author. The authors also thank Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) for financial support.
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Nascimento, J.R., Silveira, A.E.F., Bidone, E.D. et al. Microbial community activity in response to multiple contaminant exposure: a feasible tool for sediment quality assessment. Environ Monit Assess 191, 392 (2019). https://doi.org/10.1007/s10661-019-7532-y
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DOI: https://doi.org/10.1007/s10661-019-7532-y