Characterization of Polychlorinated Biphenyls in Transplanted Mussels ( Mytilus galloprovincialis ) and Surface Sediments from the Coastal Region of Nemrut Bay, Eastern Aegean Sea

Lutfi Tolga Gonul ()
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Lutfi Tolga Gonul: Institute of Marine Sciences and Technology, Dokuz Eylul University, TR-35340 Izmir, Türkiye

Sustainability, 2024, vol. 16, issue 24, 1-23

Abstract: Caged mussels enable biomonitoring investigations due to their tendency to absorb contaminants in industrial zones. This study aimed to investigate the levels of seven indicator polychlorinated biphenyls (i 7 PCB) congeners in the biomonitoring organism Mytillus galloprovincialis over two years (2016–2018) after transplantation from three stations in the Eastern Aegean Sea industrial zone. Additionally, i 7 PCBs were found in Nemrut Bay’s surface sediments. The highest PCB level was found at Site 5 located near a petroleum refinery of the Petkim Port. According to sediment quality criteria, PCB levels at Sites 1, 4, 5, and 6 may have an adverse biological impact. PCB concentrations varied among samples; congeners 28, 153, 101, and 118 were most prevalent in sediments, whereas congeners 138, 153, 101, and 118 were most prevalent in mussels. i 7 PCB concentrations were below the maximum residual levels permitted in fishery products. In addition, calculations of the hazard ratio and estimated daily intake show no potential negative impacts from PCB exposure. Significantly positive correlations appeared between PCB (28, 52, 101, 118) levels and the condition index of the mussels. The highest amounts of ∑i 7 PCB in mussels were identified in September 2016 at Site 2 and in October 2017 at Site 1. Industrialization around the Port of Nemrut had a harmful impact on Sites 1 and 2. Preventing marine pollution plays a key role in ensuring the sustainability of marine living resources and sustainable coastal management.

Keywords: transplanted mussels; sediment; PCBs; hazard ratio; risk assessment; Nemrut Bay; sustainable coastal management (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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