Literature DB >> 22704208

Bioaccumulation of mercury in the trophic chain of flatfish from the Baltic Sea.

Lucyna Polak-Juszczak1.   

Abstract

Mercury concentrations in three flatfish species - flounder (Platichtys flesus), plaice (Pleuronectes platessa), and Baltic turbot (Scophthalmus maximus), netted in the southern Baltic Sea were assessed and compared to concentrations of this metal in sediments, sea water, and flatfish food - bivalve Macoma balthica, isopod Saduria entomon, and sprat (Sprattus sprattus). Collected simultaneously with flatfish in 2009 and 2010. Different concentrations of mercury depending on species, tissue or organ, sex, individual length, kind of food, and region were determined. The muscle tissues of turbot had the highest concentrations of the metal. The bioaccumulation (BF) and biomagnification (BMF) factors has been counted showing that the muscle tissues of turbot have maximum affinity for mercury, and thus best reflected the metal contamination of the Baltic Sea environment. The data suggest that the common Baltic turbot (S. maximus) is an important model species, suitable and cost-effective to biomonitor environmental mercury pollution for ecological research.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22704208     DOI: 10.1016/j.chemosphere.2012.05.057

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  5 in total

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Authors:  Lucyna Polak-Juszczak; Tomasz Nermer
Journal:  Ecohealth       Date:  2016-06-29       Impact factor: 3.184

2.  Development of fish age normalization technique for pollution assessment of marine ecosystem, based on concentrations of mercury, copper, and zinc in dorsal muscles of fish.

Authors:  Natalija Suhareva; Juris Aigars; Rita Poikane; Mintauts Jansons
Journal:  Environ Monit Assess       Date:  2020-04-11       Impact factor: 2.513

3.  The impact of military activities on the concentration of mercury in soils of military training grounds and marine sediments.

Authors:  Karolina Gębka; Jacek Bełdowski; Magdalena Bełdowska
Journal:  Environ Sci Pollut Res Int       Date:  2016-09-03       Impact factor: 4.223

4.  A Machine Learning Approach in Analyzing Bioaccumulation of Heavy Metals in Turbot Tissues.

Authors:  Ștefan-Mihai Petrea; Mioara Costache; Dragoș Cristea; Ștefan-Adrian Strungaru; Ira-Adeline Simionov; Alina Mogodan; Lacramioara Oprica; Victor Cristea
Journal:  Molecules       Date:  2020-10-14       Impact factor: 4.411

5.  Comparison of Pollution Levels, Biomagnification Capacity, and Risk Assessments of Heavy Metals in Nearshore and Offshore Regions of the South China Sea.

Authors:  Shaochen Yang; Kaifeng Sun; Jinling Liu; Nan Wei; Xing Zhao
Journal:  Int J Environ Res Public Health       Date:  2022-09-27       Impact factor: 4.614

  5 in total

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