Evidence map›Paper›PMID 40281122›Full record

ArticleBulletin of environmental contamination and toxicology2025

Unveiling Microplastics in Commercial Brackish Water Fishes from the Lower Meghna River Estuary of Bangladesh.

Razat Suvra Das, S M Mahatab Uddin, Sedat Gündoğdu, Jannatul Kubra Afrin, Nusrat Jahan, Md Rubaet Bin Abedin, Showmitra Chowdhury, Sultan Al Nahian, M Golam Mustafa, Mohammad Abdul Momin Siddique

Abstract read
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Article in Bulletin of environmental contamination and toxicology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Razat Suvra DasDepartment of Oceanography, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh.
S M Mahatab UddinDepartment of Oceanography, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh.
Sedat GündoğduDepartment of Basic Sciences, Faculty of Fisheries, Cukurova University, Adana, 01330, Turkey.
Jannatul Kubra AfrinDepartment of Oceanography, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh.
Nusrat JahanDepartment of Oceanography, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh.
Md Rubaet Bin AbedinDepartment of Oceanography, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh.
Showmitra ChowdhuryBangladesh Oceanographic Research Institute, Cox's Bazar, 4730, Bangladesh.
Sultan Al NahianBangladesh Oceanographic Research Institute, Cox's Bazar, 4730, Bangladesh.
M Golam MustafaDepartment of Oceanography, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh.
Mohammad Abdul Momin SiddiqueDepartment of Oceanography, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh. siddique.ocn@nstu.edu.bd.ORCID http://orcid.org/0000-0003-1869-9334

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microplastics (MPs) pose a persistent global threat and have entered almost every component of the ecosystem and seafood items. This study aimed to identify and characterize MPs in three widely edible fishes in the lower Meghna River estuary of Bangladesh and assess the polymer hazard index. Gastrointestinal tracts (GIT) of fish were collected and digested with KOH to extract MPs, and the polymer was confirmed by FTIR analysis. The species with the highest mean MP abundance was M. gulio (22.89 ± 8.91 MPs/GIT), followed by P. paradiseus (10.78 ± 4.29) and O. pama (15.11 ± 3.55). Fibers were predominant MPs, comprising 73.20-91.75% of the total particles. Blue, red, and black were the dominant colors of MPs, while 81.07-93.81% particles were between 500 and 1000 μm. Five distinct polymers, polypropylene, polyethylene, polyethylene terephthalate, Polystyrene, and Nylon 6, were detected in the GIT of these fishes. The study unveiled a significant correlation (r

Indexed as

Environmental MonitoringFishesMicroplasticsWater Pollutants, ChemicalAnimalsBangladeshEstuariesRiversMicroplasticsWater Pollutants, ChemicalAquatic ecosystemBrackish water fishesMeghna estuaryMicroplastic pollution

Identifiers

PMID40281122
PMCPMC12031850

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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.