Statistical optimization for biosurfactant-assisted bioremediation of crude oil contaminated soil using Taguchi orthogonal array design
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Orthogonal array
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Crude oil extraction and transport are often accompanied by environmental contamination. In the present years methods of biological remediation of oil-contaminated soils gain increasing popularity due to their environmental safety. Effective and ecologically safe bacterial surfactants produced by Rhodococcus strains, which were isolated from oil-extraction areas in Perm region, were developed. The biosurfactants produced are successfully applied in ex/in situ technologies of oil-contaminated soil bioremediation. Since soil bioremediation is an extremely complex process involving physical, chemical and biological factors, there is an obvious need for appropriate mathematical model adequately describing effects of various factors (e.g. biosurfactant) on this process. In the present study a mathematical model of oil-contaminated soil washing process using Rhodococcus-biosurfactant is developed, which allows estimation of field-scale soil washing efficiency on the base of laboratory data on biosurfactant filtration through oil-contaminated soil column. Theoretically estimated soil washing parameters are compared with field experimental data.
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Objectives : Solvent extraction is a process in which not only enable to reduce oil contaminant from soil residue, but also capable to recover oil from soil matrix of oily contaminated soil which has opportunity to be reutilized. Optimization process has been simulated by previous studies related to type and dosage of solvents, variances of temperature, additional of surfactants, and other related parameters to increase oil removal from oily contaminated soil. This study seeks an approach of optimization for solvent extraction process to oily contaminated solid waste by conducting statistical analysis into laboratory experimentation from perspective of Total Petroleum Hydrocarbon (TPH) removal.Method : Biosurfactant became single extractors for multistage extraction process and also combined with other solvents which are acetone and toluene. Mixing method that utilized during the study was combination between horizontal shaking at 150 rpm in 15 min duration and centrifugation force at 1,570 g in 10 min duration. Statistical analysis were conducted to seek its multiple regression.Result : Study describing biosurfactant performance single extractor by using multistage extraction process achieve 77% TPH removal, while combination of biosurfactant and solvent extraction by using toluene and acetone also capable to increase TPH removal 7% higher from original performance of both toluene and acetone at solvent extraction.Conclusion : Surfactant and solvents combination is promising to improve TPH removal, while statistics analysis that implemented to observed extraction process has possibility to be used for engineering higher efficiency of extraction process.
Total petroleum hydrocarbon
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The efficiency of various bioremediation methods including natural attenuation, bioaugmentation
with addition of oil-degrading microbial consortium and biosurfactant for the purification of crude
oil contaminated soil was studied. It was shown that joint introduction of microorganisms and
biosurfactant promoted greatest removal of pollutant from the studied soil samples.
Исследована эффективность различных методов биоремедиации включая природное
восстановление, биоаугментация с внесением ассоциации нефтеокисляющих
микроорганизмов и биоПАВ для очистки почвы, загрязненной нефтью. Показано, что
совместное внесение микроорганизмов и биоПАВ способствует достижению наивысшего
уровня деградации загрязнения в исследуемых образцах почвы.
Bioaugmentation
Biostimulation
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