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Cited by 406

The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.

Review on plastic wastes in marine environment – Biodegradation and biotechnological solutions

A., Ganesh Kumar, K., Anjana, M., Hinduja, K., Sujitha, G., Dharani·2020·Marine Pollution Bulletin

Abstract

The marine plastic pollution has drastic effect on marine species. The importance in environmental issues increases the demand to develop a significant technology which does not burden the marine environment or marine life forms. To mitigate the foreseen problems of micro and nanoplastic contamination, different biotechnological solutions has to be considered. Microbial communities exposed to plastic contaminated sites can adapt and form dense biofilms on the plastic surface and produce active catalytic enzymes. These enzymes can be able to degrade the synthetic polymers. In view of their high catalytic activity, microbial enzymes can be applicable for the degradation of synthetic polymers. This review highlights the toxicity of micro and nanoplastics on marine organisms, biodegradation of plastics and futuristic research needs to solve the issues of plastic pollution in marine environment.

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Crossref · 10.1016/j.marpolbul.2019.110733

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Metadata

Authors
A., G. K., K., A., M., H., K., S., & G., D.
Venue
Marine Pollution Bulletin
Publisher
Elsevier BV
Published
2020-01
Volume
150
Pages
110733
ISSN
0025-326X (ISSN-L)
OpenAlex
W2990690442
Cited by
406
References
86
FWCI
10.56
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Review on plastic wastes in marine environment – Biodegradation and biotechnological solutions. https://app.cochat.ai/papers/10.1016/j.marpolbul.2019.110733
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A., G. K., K., A., M., H., K., S., & G., D. (2020). Review on plastic wastes in marine environment – Biodegradation and biotechnological solutions. Marine Pollution Bulletin. https://doi.org/10.1016/j.marpolbul.2019.110733

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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.