Literature DB >> 31789162

Assessment of metal contamination in Arabian/Persian Gulf fish: A review.

Patricia A Cunningham1, Elizabeth E Sullivan1, Kibri H Everett1, Samuel S Kovach1, Anbiah Rajan2, Mary C Barber3.   

Abstract

Metal contamination in fish is a concern worldwide, including in the Arabian/Persian Gulf region. This review summarizes the findings from 55 papers about metal concentrations in Gulf fish. Metal concentrations in muscle tissue were screened against the most recent maximum allowable levels (MALs) for fish in international commerce. We identified metals, fish species, and locations where concentrations exceeded the MALs. For some metals, recent MALs have been set to lower concentrations as more toxicological data have become available. Mean fish tissue concentrations exceeded the MAL in 13% (arsenic), 76% (cadmium), 56% (lead), and 10% (mercury) of species means. We identified 13 fish species with the potential to serve as bioindicators of metal contamination for use in four Gulf habitats: pelagic, benthopelagic, demersal, and coral reefs. Recommendations are provided for a regional approach to improve consistency of sampling, data analysis and reporting of metal concentrations in Gulf fish.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Arabian Gulf; Bioindicator species; Commercial fish; Heavy metals; Maximum allowable levels; Persian Gulf

Mesh:

Substances:

Year:  2019        PMID: 31789162     DOI: 10.1016/j.marpolbul.2019.04.007

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


  4 in total

1.  Metal uptake in Psettodes erumei and Hysterothylacium spp. larvae in the Persian Gulf: Evaluation of larvae as bio-indicator.

Authors:  Bahareh Sedaghat; Seyed Mahmoud Sadjjadi; Gholamhossein Mohebbi; Mohammad Rayani
Journal:  J Parasit Dis       Date:  2022-01-20

2.  Combining ecological, eco-cultural, and environmental justice parameters to create Eco-EJ indicators to monitor cultural and environmental justices for diverse communities around contaminated sites.

Authors:  Joanna Burger; Michael Gochfeld; David S Kosson; Kevin G Brown; Jennifer Salisbury; Michael Greenberg; Christian Jeitner
Journal:  Environ Monit Assess       Date:  2022-02-12       Impact factor: 3.307

3.  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

4.  Dietary exposure assessment of selected trace elements in eleven commercial fish species from the Missouri market.

Authors:  Abua Ikem; Jimmie Garth
Journal:  Heliyon       Date:  2022-08-30
  4 in total

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