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Cited by 744

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Surgical face masks as a potential source for microplastic pollution in the COVID-19 scenario

Open access
Aragaw, Tadele Assefa·2020·Marine Pollution Bulletin

Abstract

Although there have been enormous reports on the microplastic pollution from different plastic products, impacts, controlling mechanisms in recent years, the surgical face masks, made up of polymeric materials, as a source of microplastic pollution potential in the ecosystem are not fully understood and considered yet. Current studies are mostly stated out that microplastics pollution should be a big deal because of their enormous effect on the aquatic biota, and the entire environment. Due to the complicated conditions of the aquatic bodies, microplastics could have multiple effects, and reports so far are still lacking. In addition to real microplastic pollutions which has been known before, face mask as a potential microplastic source could be also researching out, including the management system, in detail. It is noted that face masks are easily ingested by higher organisms, such as fishes, and microorganisms in the aquatic life which will affect the food chain and finally chronic health problems to humans. As a result, microplastic from the face mask should be a focus worldwide.

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Crossref · 10.1016/j.marpolbul.2020.111517

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Metadata

Authors
Aragaw, T. A.
Venue
Marine Pollution Bulletin
Publisher
Elsevier BV
Published
2020-10
Volume
159
Pages
111517
ISSN
0025-326X (ISSN-L)
OpenAlex
W3044217798
Cited by
744
References
3
FWCI
28.41
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Surgical face masks as a potential source for microplastic pollution in the COVID-19 scenario. https://app.cochat.ai/papers/10.1016/j.marpolbul.2020.111517
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Aragaw, T. A. (2020). Surgical face masks as a potential source for microplastic pollution in the COVID-19 scenario. Marine Pollution Bulletin. https://doi.org/10.1016/j.marpolbul.2020.111517

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.