INTRODUCTION 180 CHEMISTRY OF PETROLEUM BIODEGRADATION . 180 Degradation of Individual Hydrocarbons ...... 180 Degradation of Hydrocarbons Within Petroleum Mixtures ..... 182 TAXONOMIC RELATIONSHIPS OF HYDROCARBON-UTILIZING MICROORGANISMS .............................. ... .. 184 DISTRIBUTION OF HYDROCARBON-UTILIZING MICROORGANISMS ...... 186 ENVIRONMENTAL FACTORS INFLUENCING BIODEGRADATION OF PETCROLEUM HYDROCARBONS ........................................... 189 PHYSICAL STATE OF OIL POLLUTANTS ................................... 189 TEMPERATURE .................................................. 190 NUTRIENTlS ..........192............................. 192 OXYGEN .......... 194 SALINITY AND PRESSURE .................... 195 CASE HISTORIES ..................... 196 CONCLUSIONS ..................... 198 LITERATURE CITED .................... 199

Microbial degradation of petroleum hydrocarbons: an environmental perspective.

Crude oil degradation was observed in water samples from three sites along the course of a polluted stream in Lagos, Nigeria. Consistent increase and decrease in the total viable counts (TVCs) of indigenous organisms occurred in the test and control experiments, respectively. Enrichments of the water samples with crude oil resulted in the isolation of nine bacteria belonging to seven genera. A mixed culture was developed from the assemblage of the nine species. The defined microbial consortium utilized a wide range of pure HCs including cycloalkane and aromatic HCs. Utilization of crude oil and petroleum cuts, i.e., kerosene and diesel resulted in an increase in TVC (till day 10) concomitant with decreases in pH and residual oil concentration. Crude oil, diesel and kerosene were degraded by 88, 85 and 78%, respectively, in 14 days. Substrate uptake studies with axenic cultures showed that growth was not sustainable on either cyclohexane or aromatics while degradation of the petroleum fractions fell below 67% in spite of extended incubation period (20 day). From the GC analysis of recovered oil, while reductions in peaks of n-alkane fractions and in biomarkers namely n-C17/pristane and n-C18/phytane ratios were observed in culture fluids of pure strains, complete removal of all the HC components of kerosene, diesel and crude oil including the isoprenoids was obtained with the consortium within 14 days.

Microbial degradation of petroleum hydrocarbons in a polluted tropical stream

Effects of nutrient and temperature on degradation of petroleum hydrocarbons in contaminated sub-Antarctic soil.

Bioremediation of hydrocarbon pollutants is advantageous owing to the cost-effectiveness of the technology and the ubiquity of hydrocarbon-degrading microorganisms in the soil. Soil microbial diversity is affected by hydrocarbon perturbation, thus selective enrichment of hydrocarbon utilizers occurs. Hydrocarbons interact with the soil matrix and soil microorganisms determining the fate of the contaminants relative to their chemical nature and microbial degradative capabilities, respectively. Provided the polluted soil has requisite values for environmental factors that influence microbial activities and there are no inhibitors of microbial metabolism, there is a good chance that there will be a viable and active population of hydrocarbon-utilizing microorganisms in the soil. Microbial methods for monitoring bioremediation of hydrocarbons include chemical, biochemical and microbiological molecular indices that measure rates of microbial activities to show that in the end the target goal of pollutant reduction to a safe and permissible level has been achieved. Enumeration and characterization of hydrocarbon degraders, use of micro titer plate-based most probable number technique, community level physiological profiling, phospholipid fatty acid analysis, 16S rRNA- and other nucleic acid-based molecular fingerprinting techniques, metagenomics, microarray analysis, respirometry and gas chromatography are some of the methods employed in bio-monitoring of hydrocarbon remediation as presented in this review.

/pdf/monitoring-of-microbial-hydrocarbon-remediation-in-the-soil-5ci7u0n42g.pdf

Monitoring of microbial hydrocarbon remediation in the soil.

Environmental pollution has been recognized as one of the major problems of the modern world. The increasing demand for water and the dwindling supply has made the treatment and reuse of industrial effluents an attractive option. Textile effluents are of concern because they colour the drains and ultimately the water bodies. They also diminish the water quality. The ability of microorganisms to degrade and metabolize a wide variety of compounds has been recognized and exploited in various biotreatment processes. This study investigated the potential of bacteria isolated from textile industries wastewater and drains (textile effluent adapted bacteria) and isolates from a municipal landfill (effluent non-adapted bacteria). We discovered effluent adapted strains of Acinetobacter, Bacillus and Legionella with potentials for colour removal and strains of Acinetobacter, Bacillus and Pseudomonas with chemical oxygen demand (COD) removal activities. Only strains of Bacillus with potentials for use in colour and COD removal were isolated from the landfill. Plasmid screening did not reveal the presence of plasmids in the isolates. Thus the involvement of extra-chromosomal genes is not suggested. In conclusion, as a preliminary step in the development of textile effluent biotreatment using indigenous microbes, we have discovered some strains with potency to decolourize and/or remove COD.

/pdf/textile-effluent-biodegradation-potentials-of-textile-c7ocg9j6vk.pdf

Textile effluent biodegradation potentials of textile effluent-adapted and non-adapted bacteria

Several media designed for use in a most probable number (MPN) determination of petroleum-degrading microorganisms were compared The best results, ie, largest numbers, were obtained using a buff

Enumeration of petroleum-degrading marine and estuarine microorganisms by the most probable number method.

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Enumeration of petroleum-degrading marine and estuarine microorganisms by the most probable number method.