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Cited by 209

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Metal and organic pollutants bioremediation by extremophile microorganisms

Giovanella, Patricia, Vieira, Gabriela A.L., Ramos Otero, Igor V., Pais Pellizzer, Elisa, de Jesus Fontes, Bruno, Sette, Lara D.·2020·Journal of Hazardous Materials

Abstract

Extremophiles comprise microorganisms that are able to grow and thrive in extreme environments, including in an acidic or alkaline pH, high or low temperatures, high concentrations of pollutants, and salts, among others. These organisms are promising for environmental biotechnology due to their unique physiological and enzymatic characteristics, which allow them to survive in harsh environments. Due to the stability and persistence of these microorganisms under adverse environmental conditions, they can be used for the bioremediation of environments contaminated with extremely recalcitrant pollutants. Here, we provide an overview of extremophiles and the role of "omics" in the field of bioremediation of environmental pollutants, including hydrocarbons, textile dyes and metals.

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Metadata

Authors
Giovanella, P., Vieira, G. A. L., Ramos Otero, I. V., Pais Pellizzer, E., de Jesus Fontes, B., & Sette, L. D.
Venue
Journal of Hazardous Materials
Publisher
Elsevier BV
Published
2020-01
Volume
382
Pages
121024
ISSN
0304-3894 (ISSN-L)
OpenAlex
W2967484891
Cited by
209
References
6
FWCI
6.66
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Metal and organic pollutants bioremediation by extremophile microorganisms. https://app.cochat.ai/papers/10.1016/j.jhazmat.2019.121024
The paper
Giovanella, P., Vieira, G. A. L., Ramos Otero, I. V., Pais Pellizzer, E., de Jesus Fontes, B., & Sette, L. D. (2020). Metal and organic pollutants bioremediation by extremophile microorganisms. Journal of Hazardous Materials. https://doi.org/10.1016/j.jhazmat.2019.121024

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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.