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Microbial hydrocarbon degradation—bioremediation of oil spills

Atlas, Ronald M.·1991·Journal of Chemical Technology & Biotechnology

Abstract

Bioremediation has become a major method employed in restoration of oil‐polluted environments that makes use of natural microbial biodegradative activities. Bioremediation of petroleum pollutants overcomes the factors limiting rates of microbial hydrocarbon biodegradation. Often this involves using the enzymatic capabilities of the indigenous hydrocarbon‐degrading microbial populations and modifying environmental factors, particularly concentrations of molecular oxygen, fixed forms of nitrogen, and phosphate to achieve enhanced rates of hydrocarbon biodegradation. Biodegradation of oily sludges and bioremediation of oil‐contaminated sites has been achieved by oxygen addition—e.g., by tilling soils in landfarming and by adding hydrogen peroxide or pumping oxygen into oiled aquifers along with addition of nitrogen‐ and phosphorous‐containing fertilizers. The success of seeding oil spills with microbial preparations is ambiguous. Successful bioremediation of a major marine oil spill has been achieved based upon addition of nitrogen and phosphorus fertilizers.

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Metadata

Authors
Atlas, R. M.
Venue
Journal of Chemical Technology & Biotechnology
Publisher
Wiley
Published
1991-01
Volume
52
Issue
2
Pages
149-156
ISSN
  • 0142-0356 (ISSN-L)
  • 0268-2575
  • 1097-4660
OpenAlex
W2003536193
Cited by
379
References
0
FWCI
8.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Microbial hydrocarbon degradation—bioremediation of oil spills. https://app.cochat.ai/papers/10.1002/jctb.280520202
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Atlas, R. M. (1991). Microbial hydrocarbon degradation—bioremediation of oil spills. Journal of Chemical Technology & Biotechnology. https://doi.org/10.1002/jctb.280520202

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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.