Assessment of organic contamination along the coast of Laizhou Bay, China: chemical analysis and integrated biomarker responses in the clam Ruditapes philippinarum

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Abstract
An investigative biomonitoring study was conducted along the coastal area of Laizhou Bay (China) to evaluate the impact of organic pollution on the clam Ruditapes philippinarum using bioaccumulation and multi-biomarker measurements. In addition, the polychlorinated biphenyls (PCBs), total petroleum hydrocarbons (TPHs) and nonylphenol (NP) content in surface sediment at the study sites were also analyzed. Concentrations of PCBs, TPHs and NP in the sediments of the study area were 1.90 ± 0.10 μg kg−1, 39.55 ± 2.42 mg kg−1, 9.23 ± 0.41 μg kg−1 dry weight, respectively, while the organic contaminants in the soft tissues of R. philippinarum were 14.81 ± 0.96 μg kg−1 for PCBs, 165.87 ± 5.03 mg kg−1 for TPHs and 86.16 ± 5.29 μg kg−1 for NP. Linear regression analysis on the levels of organic pollutants accumulated in R. philippinarum and in sediments showed no significant correlation. Multi-biomarkers including superoxide dismutase, catalase, glutathione peroxidase, glutathione S-transferase, total glutathione and lipid peroxidation were assayed in gills and digestive glands of R. philippinarum. Finally, the biomarkers in gills were selected to calculate the Integrated Biomarker Response (IBR) index and to evaluate the impact of the three organic contaminants on R. philippinarum collected from different sites. According to IBR results, the western coast and eastern coast exhibited higher environmental stress than the sampling sites along the southern coast of Laizhou Bay. Significant correlation was found between the level of organic contaminants in the sediments and IBR whereas no dependence was found between pollutants’ concentrations in sediments and separate biomarker responses. The results showed that PCBs and NP were the main organic pollutants among the three studied which have caused pollution pressure on R. philippinarum in Laizhou Bay coastal area.
Funding Information
  • National Natural Science Foundation of China (41907351)
  • Fund of Research Leader Studio of Daoji Wu (0031703)
  • Doctoral Research Fund of Shandong Jianzhu University (XNBS1817)
  • Youth Innovation Technology Project of Higher School in Shandong Province (2020KJF013)

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