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The role of microorganisms in petroleum degradation: Current development and prospects
Abstract
Petroleum hydrocarbon compounds are persistent organic pollutants, which can cause permanent damage to ecosystems due to their biomagnification. Bioremediation of oil is currently the main solution for the remediation of petroleum hydrocarbon pollutants in ecosystems. Despite several lab studies on oil microbial biodegradation efficiency, still there are various challenges for microorganisms to perform efficiently in outside environments. Herewith, investigating efficient biodegradation technologies through discovering new microorganisms, biodegradation pathways modification, and new bioremediations technologies are in great demand. The degradation of petroleum pollutants by microorganisms and the remediation of contaminated soils are achieved through their key enzymes and metabolic pathways. Although, several challenges hinder the effective biodegradation processes such as the toxic environment, long chains and versatility of petroleum hydrocarbons and the existence of the full metabolism pathways in a single microorganism. There are several developed oil biodegradation strategies by microorganisms such as synthetic biology, biofilm, recombinant technology and microbial consortia. Herewith, the application of multi-omics technology to discover oil-contaminated environments microbial communities, synthetic biology, microbial consortia, and other technologies would help improve the efficiency of microbial remediation.
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Hydrocarbons are stable molecules with a long-standing presence in the environment, and microbes have evolved to utilize them as a principal supply of both energy and carbon.
“Hydrocarbons, stable molecules with a long-standing presence in the environment, have evolved into microbes that can utilize them as a principal supply of both energy and carbon [72].”
From Harnessing bacterial consortia for effective bioremediation: targeted removal of heavy metals, hydrocarbons, and persistent pollutants (2025) · cites this paper as [72]
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Qattan, S. Y. A. (2025) · Environmental Sciences Europe · doi:10.1186/s12302-025-01103-y · Cited by 109
Metadata
- Authors
- Chunyan, X., Qaria, M. A., Qi, X., & Daochen, Z.
- Affiliations
- Jiangsu University (CN)
- ORCID
- Qaria, Majjid A.
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2023-03
- Volume
- 865
- Pages
- 161112
- ISSN
- 0048-9697 (ISSN-L)
- OpenAlex
- W4313478316
- Cited by
- 189
- References
- 1
- Citations by year
- 2026: 39 · 2025: 67 · 2024: 58 · 2023: 25
- FWCI
- 2.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- The Science of The Total Environment (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Jiangsu Provincial Key Research and Development Program
- Topics
- Physical Sciences › Environmental Science › Pollution › Microbial bioremediation and biosurfactants
- Physical Sciences › Chemistry › Organic Chemistry › Steroid Chemistry and Biochemistry
- Physical Sciences › Environmental Science › Environmental Chemistry › Environmental Chemistry and Analysis
- Keywords
- petroleum hydrocarbon biodegradation, oil bioremediation, petroleum-contaminated soil remediation, persistent organic pollutants, biodegradation pathways, biodegradation enzymes, synthetic biology, biofilm, microbial consortia, recombinant microorganisms, multi-omics, microbial communities, ecotoxicity
- MeSH terms
- Biodegradation, Environmental, Environmental Pollutants, Hydrocarbons, Petroleum, Soil Microbiology, Soil Pollutants, Petroleum Pollution, Microbiota
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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