Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Crude oil biodegradation by bacterial strains isolated from oil contaminated soil samples, Oman, were performed and its potential applications in crude oil waste management were analyzed. Accidental and occasional crude oil spills, treatment of produced water containing hydrocarbons and oil, and waste management are a major concern for petroleum industries. Various techniques such as, chemical, physical, biological and thermal treatments, are reported for treating spills and wastes on-site. We analyzed crude oil biodegradation by selected bacterial isolates from Oman, under reservoir conditions. Four potential bacterial isolates were selected, characterized by MALDI-Biotyper, and studied for crude oil biodegradation at 40 °C. The isolates were studied morphologically and by scanning electron microscope (SEM), and any changes in surface tension (biosurfactant production), during growth on crude oil as the only carbon source. Crude oil characteristics before and after biodegradation were analyzed by Gas chromatography-Mass specrtrometry (GC-MS). The bacterial strains were identified as Pseudomonas mendocina, Pseudomonas putida, and Brevibacillus agri. During the course of crude oil biodegradation, bacterial isolates showed growth, as analyzed by optical density measurement at 660 nm and cellular protein estimation; no changes were observed in surface tension values, and alteration in the cell morphology in presence of crude oil was observed. All four isolates showed oil clearing zones on agar plates coated with crude oil. Crude oil degradation was analyzed by GC-MS with respect to carbon numbers from C12 −C30. P. mendocina II, P. putida and B. agri showed reduction in all the compounds, but P. mendocina I showed very little degradation of hydrocarbons. Maximum crude oil biodegradation (~50%) was observed by P. mendocina II. It can be concluded that the present findings indicate the application potential of these bacterial isolates in the crude oil biodegradation. This could be the ideal solution to treat the contaminated soil and water, which can also be applied for the bioremediation of oil spills and water bodies as a cost effective and environmental friendly approach.
Crude oil biodegradation by bacterial strains isolated from oil contaminated soil samples, Oman, were performed and its potential applications in crude oil waste management were analyzed. Accidental and occasional crude oil spills, treatment of produced water containing hydrocarbons and oil, and waste management are a major concern for petroleum industries. Various techniques such as, chemical, physical, biological and thermal treatments, are reported for treating spills and wastes on-site. We analyzed crude oil biodegradation by selected bacterial isolates from Oman, under reservoir conditions. Four potential bacterial isolates were selected, characterized by MALDI-Biotyper, and studied for crude oil biodegradation at 40 °C. The isolates were studied morphologically and by scanning electron microscope (SEM), and any changes in surface tension (biosurfactant production), during growth on crude oil as the only carbon source. Crude oil characteristics before and after biodegradation were analyzed by Gas chromatography-Mass specrtrometry (GC-MS). The bacterial strains were identified as Pseudomonas mendocina, Pseudomonas putida, and Brevibacillus agri. During the course of crude oil biodegradation, bacterial isolates showed growth, as analyzed by optical density measurement at 660 nm and cellular protein estimation; no changes were observed in surface tension values, and alteration in the cell morphology in presence of crude oil was observed. All four isolates showed oil clearing zones on agar plates coated with crude oil. Crude oil degradation was analyzed by GC-MS with respect to carbon numbers from C12 −C30. P. mendocina II, P. putida and B. agri showed reduction in all the compounds, but P. mendocina I showed very little degradation of hydrocarbons. Maximum crude oil biodegradation (~50%) was observed by P. mendocina II. It can be concluded that the present findings indicate the application potential of these bacterial isolates in the crude oil biodegradation. This could be the ideal solution to treat the contaminated soil and water, which can also be applied for the bioremediation of oil spills and water bodies as a cost effective and environmental friendly approach.
In recent years, environmental scientists committed to safeguarding the planet have prioritized the detection and monitoring of oil spills in marine waters, a focus expected to persist. Rapid identification of oil spill incidents on the water's surface is crucial for timely monitoring and cleanup efforts, especially to protect the delicate ecology, particularly marine life. Delayed or inefficient response to oil spills exacerbates the adverse impact on marine ecosystems over time. In cases of oil spills in marine systems, swift identification and monitoring facilitate precise cleanup and recovery of hydrocarbons on the water surface. This, in turn, contributes to the preservation of both the marine ecosystem and human lives. The integration of artificial intelligence (AI) in the detection and monitoring of oil spill incidents in aquatic environments holds promise for enhancing the response process to such events. This paper aims to investigate and evaluate the feasibility of employing AI techniques, such as machine learning (ML) and deep learning (DL), to expedite the cleanup and other response operations related to oil spills over water surfaces.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.