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Cited by 554

The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.

Microbial degradation of dyes: An overview

Open access
Varjani, Sunita, Rakholiya, Parita, Ng, How Yong, You, Siming, Teixeira, Jose A.·2020·Bioresource Technology

Abstract

Industrialization increases use of dyes due to its high demand in paper, cosmetic, textile, leather and food industries. This in turn would increase wastewater generation from dye industrial activities. Various dyes and its structural compounds present in dye industrial wastewater have harmful effects on plants, animals and humans. Synthetic dyes are more resistant than natural dyes to physical and chemical methods for remediation which makes them more difficult to get decolorize. Microbial degradation has been researched and reviewed largely for quicker dye degradation. Genetically engineered microorganisms (GEMs) play important role in achieving complete dye degradation. This paper provides scientific and technical information about dyes & dye intermediates and biodegradation of azo dye. It also compiles information about factors affecting dye(s) biodegradation, role of genetically modified organisms (GMOs) in process of dye(s) degradation and perspectives in this field of research.

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Crossref · 10.1016/j.biortech.2020.123728

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Metadata

Authors
Varjani, S., Rakholiya, P., Ng, H. Y., You, S., & Teixeira, J. A.
Venue
Bioresource Technology
Publisher
Elsevier BV
Published
2020-10
Volume
314
Pages
123728
ISSN
0960-8524 (ISSN-L)
OpenAlex
W3037955414
Cited by
554
References
88
FWCI
43.63
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Microbial degradation of dyes: An overview. https://app.cochat.ai/papers/10.1016/j.biortech.2020.123728
The paper
Varjani, S., Rakholiya, P., Ng, H. Y., You, S., & Teixeira, J. A. (2020). Microbial degradation of dyes: An overview. Bioresource Technology. https://doi.org/10.1016/j.biortech.2020.123728

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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.