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Bioremediation of polycyclic aromatic hydrocarbons: current knowledge and future directions

Bamforth, Selina M, Singleton, Ian·2005·Journal of Chemical Technology & Biotechnology

Abstract

Polycyclic aromatic hydrocarbons (PAHs) are a class of organic compounds that have accumulated in the natural environment mainly as a result of anthropogenic activities such as the combustion of fossil fuels. Interest has surrounded the occurrence and distribution of PAHs for many decades due to their potentially harmful effects to human health. This concern has prompted researchers to address ways to detoxify/remove these organic compounds from the natural environment. Bioremediation is one approach that has been used to remediate contaminated land and waters, and promotes the natural attenuation of the contaminants using the in situ microbial community of the site. This review discusses the variety of fungi and bacteria that are capable of these transformations, describes the major aerobic and anaerobic breakdown pathways, and highlights some of the bioremediation technologies that are currently available. Copyright © 2005 Society of Chemical Industry

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Metadata

Authors
Bamforth, S. M., & Singleton, I.
Venue
Journal of Chemical Technology & Biotechnology
Publisher
Wiley
Published
2005-04-22
Volume
80
Issue
7
Pages
723-736
ISSN
  • 0142-0356 (ISSN-L)
  • 0268-2575
  • 1097-4660
OpenAlex
W2108230147
Cited by
840
References
0
FWCI
18.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Bioremediation of polycyclic aromatic hydrocarbons: current knowledge and future directions. https://app.cochat.ai/papers/10.1002/jctb.1276
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Bamforth, S. M., & Singleton, I. (2005). Bioremediation of polycyclic aromatic hydrocarbons: current knowledge and future directions. Journal of Chemical Technology & Biotechnology. https://doi.org/10.1002/jctb.1276

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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.