Literature DB >> 32469775

A verification of correlation between chemical monitoring and multi-biomarker approach using clam Ruditapes philippinarum and scallop Chlamys farreri to assess the impact of pollution in Shandong coastal area of China.

Zeyuan Li1, Luqing Pan2, Ruiming Guo1, Yunhao Cao1, Jiawei Sun1.   

Abstract

Biogeochemical monitoring coupled with multi-biomarker approach were performed for the assessment of marine environment, using clam Ruditapes philippinarum and scallop Chlamys farreri to indicate contamination status in sediments and seawater respectively. The bivalves were collected from three stations, Jiaozhou Bay, Rushan Bay and Laizhou Bay, of Shandong coastal area. A series of contaminants (PAHs and TBBPA) and biomarkers (AhR, EROD, GST, SOD, GPx, CAT, DNA damage) were measured. Multi-biomarker pollution index (MPI) and integrated biomarker response (IBR) were carried out to evaluate contamination status and both indexes showed that Rushan Bay was most polluted, where the pollution level of sediments reached "highly polluted" in August, followed by Jiaozhou Bay and Rushan Bay which reached "lightly polluted". The correlation of IBR values with contaminants' concentrations was verified through the Pearson correlation coefficient (p < 0.05), consolidating this scientific assessment method for marine environment.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Clam Ruditapes philippinarum; Multi-biomarker approach; Polycyclic aromatic hydrocarbons; Scallop Chlamys farreri; Shandong coastal area; Tetrabromobisphenol A

Year:  2020        PMID: 32469775     DOI: 10.1016/j.marpolbul.2020.111155

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  1 in total

1.  Application of hyperspectral imaging technology for rapid identification of Ruditapes philippinarum contaminated by heavy metals.

Authors:  Yao Liu; Fu Qiao; Shuwen Wang; Runtao Wang; Lele Xu
Journal:  RSC Adv       Date:  2021-11-15       Impact factor: 3.361

  1 in total

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