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Paraquat Degradation From Contaminated Environments: Current Achievements and Perspectives

Open access
Huang, Yaohua, Zhan, Hui, Bhatt, Pankaj, Chen, Shaohua·2019·Frontiers in Microbiology

Abstract

Paraquat herbicide has served over five decades to control annual and perennial weeds. Despite agricultural benefits, its toxicity to terrestrial and aquatic environments raises serious concerns. Paraquat cannot rapidly degrade in the environment and is adsorbed in clay lattices that require urgent environmental remediation. Advanced oxidation processes (AOPs) and bioaugmentation techniques have been developed for this purpose. Among various techniques, bioremediation is a cost-effective and eco-friendly approach for pesticide-polluted soils. Though several paraquat-degrading microorganisms have been isolated and characterized, studies about degradation pathways, related functional enzymes and genes are indispensable. This review encircles paraquat removal from contaminated environments through adsorption, photocatalyst degradation, AOPs and microbial degradation. To provide in-depth knowledge, the potential role of paraquat degrading microorganisms in contaminated environments is described as well.

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Metadata

Authors
Huang, Y., Zhan, H., Bhatt, P., & Chen, S.
Venue
Frontiers in Microbiology
Published
2019-08-02
Volume
10
Pages
1754-1754
ISSN
1664-302X (ISSN-L)
OpenAlex
W2957295726
Cited by
178
References
0
FWCI
6.52
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Paraquat Degradation From Contaminated Environments: Current Achievements and Perspectives. https://app.cochat.ai/papers/10.3389/fmicb.2019.01754
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Huang, Y., Zhan, H., Bhatt, P., & Chen, S. (2019). Paraquat Degradation From Contaminated Environments: Current Achievements and Perspectives. Frontiers in Microbiology. https://doi.org/10.3389/fmicb.2019.01754

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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.