Evidence map›Paper›PMID 36136501›Full record

ArticleToxics2022

Assessment of Metal Contamination in Water of Freshwater Aquaculture Farms from a South Asian Tropical Coastal Area.

Mohammad Belal Hossain, Md Robel Miazie, As-Ad Ujjaman Nur, Shyamal Kumar Paul, Muhammad Abu Bakar, Bilal Ahamad Paray, Takaomi Arai

Abstract read
In one paragraph

Article in Toxics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Mohammad Belal HossainDepartment of Fisheries and Marine Science, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.ORCID 0000-0003-4733-0018
Md Robel MiazieDepartment of Fisheries and Marine Science, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.
As-Ad Ujjaman NurDepartment of Fisheries and Marine Science, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.ORCID 0000-0002-0963-6131
Shyamal Kumar PaulDepartment of Fisheries and Marine Science, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.
Muhammad Abu BakarBangladesh Council of Scientific and Industrial Lab (BCSIR), Chittagong 4220, Bangladesh.
Bilal Ahamad ParayDepartment of Zoology, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia.
Takaomi AraiEnvironmental and Life Sciences Programme, Faculty of Science, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong BE1410, Brunei.ORCID 0000-0001-9440-7933

Funding

King Saud University RSP-2021/144Universiti Brunei Darussalam UBD/RSCH/1.4/FICBF(b)/2020/029Universiti Brunei Darussalam UBD/RSCH/1.4/FICBF(b)/2021/037
6 · The paper itself

Abstract

Heavy metal accumulation in aquaculture farms has become a major problem due to the widespread use of artificial feed to enhance fish productivity. To estimate the contamination level and identify metal sources, we investigated the amounts of seven heavy metals (Cu, Zn, Pb, Cd, Cr, Ni, and Mn) in the surface water of commercial fresh water aquaculture farms in a south Asian tropical coastal area. Atomic absorption spectrometry (AAS) was used to analyze 36 water samples from 12 commercial fish farms. The results demonstrated that the range of three heavy metals were detected in a decreasing order of Mn (0.0574−0.4100 mg.L−1) > Zn (0.0125−0.3250 mg.L−1) > Cu (0.0275−0.085 mg.L−1). In all samples, the remaining four heavy metals (Pb, Cd, Cr, and Ni) were below the detectable level (BDL). Except for Mn, the amounts of the metals examined were below WHO and USEPA guideline values. According to the findings, the levels were found to be safe for drinking, agriculture production, and aquaculture. There was no significant correlation (p > 0.05) between heavy metal concentrations and water quality parameters, indicating that pollution came from diverse sources and that no single factor was controlling their levels. Furthermore, Analysis of Variance (ANOVA) revealed no significant differences in the mean metal values among the fish farms (p > 0.05). Multivariate analyses (CA and PCA) demonstrated the association and sources of metal in the study area. Although metal levels were not beyond the threshold limit, it is recommended that suitable measures and continuous monitoring should be undertaken to reduce heavy metal pollution in aquaculture farms and prevent water quality degradation.

Indexed as

aquaculture farmscentral coastheavy metalsurface water

Identifiers

PMID36136501
PMCPMC9503657

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.