Modeling and qualitative study of diesel biodegradation using biopile process in sandy soil

Chemlal, R.; Abdi, N.; Lounici, H.; Drouiche, Nadjib; Pauss, André; Mameri, N.

doi:10.1016/j.ibiod.2012.12.014

Cited by 52 publications

(17 citation statements)

References 25 publications

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“…1. Biodegradation of 0.5 mL DF/50 mL medium by A. ustus a) after 3 days of fermentation b) after 4 days of fermentation c) after 5 days of fermentation d) after 6 days of fermentation e) after 7 days of fermentation f) after 8 days of fermentation also indicated that simple diesel fractions (alkanes and aromatics) were fi rstly degraded followed by the complex fractions [33].…”

Section: Time Course Biodegradation Of 1% Diesel Fuel By a Ustus Andmentioning

confidence: 94%

“…The main effect, analysis of the regression coeffi cients and the t-values of seven factors ( spores of fungal consortium (A. ustus and A. alternata, 1:1) and incubated under shaking (150 rpm) at 30ºC for 168 h. These results revealed the importance of nutrients and aeration (25 mL/250 mL Erlenmeyer fl ask at shaking rate of 150 rpm). The crucial role of aeration and nutrients in the hydrocarbons was indicated [33].…”

Section: Screening Of Important Variables Using Plackett-burman Designmentioning

confidence: 99%

“…These fi ndings confi rmed the high effi ciency of mixed culture of A. ustus and A. alternata under the optimized conditions to degrade diesel fuel either in water or soil. It was indicated that the diesel biodegradation effi ciency in the soil by microbial consortium was 85% after 76 days of treatment and the process depends on the soil characteristics and the environmental conditions required by the microorganisms [33].…”

Section: Biodegradation Of Diesel Fuel In Soil Samplementioning

confidence: 99%

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Bioremediation of Diesel Fuel by Fungal Consortium Using Statistical Experimental Designs

Ghanem¹,

Al-Zahrani²

2016

Pol. J. Environ. Stud.

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Section: Time Course Biodegradation Of 1% Diesel Fuel By a Ustus Andmentioning

confidence: 94%

Section: Screening Of Important Variables Using Plackett-burman Designmentioning

confidence: 99%

Section: Biodegradation Of Diesel Fuel In Soil Samplementioning

confidence: 99%

See 1 more Smart Citation

Bioremediation of Diesel Fuel by Fungal Consortium Using Statistical Experimental Designs

Ghanem¹,

Al-Zahrani²

2016

Pol. J. Environ. Stud.

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“…Also, in soil environments, bacteria may exert different levels of functional capabilities when exposed to the broad range of diesel hydrocarbons. First‐order kinetic rates in the range 0.03–0.05 day −1 on soil surface and zero‐order rates in the range 0.07–0.36 g kg −1 day −1 in deep soil, recorded 85% removal of diesel in a bench‐scale soil biopile following 76 days of aerobic treatment . Since in our study, chains C 20 –C 22 had K S h values 11‐fold higher than those of chains C 10 –C 18 , it could be assumed that the overall affinity of the microorganisms on chains C 20 –C 22 would be an order of magnitude lower.…”

Section: Resultsmentioning

confidence: 52%

“…First-order kinetic rates in the range 0.03-0.05 day −1 on soil surface and zero-order rates in the range 0.07-0.36 g kg −1 day −1 in deep soil, recorded 85% removal of diesel in a bench-scale soil biopile following 76 days of aerobic treatment. 38 Since in our study, chains C 20 -C 22 had K Sh values 11-fold higher than those of chains C 10 -C 18 , it could be assumed that the overall affinity of the microorganisms on chains C 20 -C 22 would be an order of magnitude lower. However, it may not be predicted that chains C 20 -C 22 would deliver a max,h with an order of magnitude higher than the rate of chains C 10 -C 18 , because as proven herein, this assumption might not hold true.…”

Section: Monod Parametersmentioning

confidence: 51%

The Monod and a biphasic biodegradation kinetics of diesel hydrocarbons by a biofilm of Pseudomonas and the potential electromotive force involved

Acuña‐Askar

Pecina-Chacon

Mas-Trevino³

et al. 2014

J of Chemical Tech & Biotech

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BACKGROUND Two kinetic models for diesel degradation in a continuous‐flow reactor at a retention time of 1.5 h were compared. One model included the Monod equation and the other, a biphasic model, did not involve Monod parameters. The experiment included two Pseudomonas species. A thermodynamic study on the nitrate‐reducing degradation of diesel was performed in addition to a BOD5 /COD ratio to evaluate the biodegradability of both the diesel components and their residual concentrations. RESULTS The Monod model revealed that both μmax,h and italicKShfor the C10–C18 chains were 2.5‐fold and 11‐fold, respectively, lower than those of chains C20–C22. The biphasic model failed to detect the influent concentration range at which the biofilm slowed down processing the substrates. The shifts of the influent‐to‐effluent BOD5/COD ratios from 0.67 to 0.80 and from 0.80 to 0.95, for the lowest and highest substrate concentrations, respectively, confirmed that residuals in the effluent can be degraded. Stoichiometric calculations for C10–C22 revealed theoretical spontaneous release of Gibbs free energies from –6.89 to –70.27 kJ, and electromotive forces from 4.4 to 45.51 mV for both the lowest and highest diesel concentrations, respectively. CONCLUSION The influent diesel concentration interval of 1008–1344 mg L−1 was the range over which the maximum utilization rates of chains C10–C22 decreased from 1.12 to 0.57 vss−1 due to the inhibitory action of chains C10–C18 (P<0.05). Following the degradation of diesel, the organic residuals left in the effluent can be easily assimilated. The nitrate‐reducing degradation was able to produce an electromotive force spontaneously. © 2014 Society of Chemical Industry

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Isolation, identification, and characterization of diesel‐oil‐degrading bacterial strains indigenous to Changqing oil field, China

et al. 2019

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In the present study, 12 indigenous diesel‐oil‐degrading bacteria were isolated from the petroleum‐contaminated soils of the Changqing oil field (Xi’an, China). Measurement of the diesel‐oil degradation rates of these strains by the gravimetric method revealed that they ranged from 42% to 66% within 2 weeks. The highest degradation rates were observed from strains CQ8‐1 (66%), CQ8‐2 (62.6%), and CQ11 (59%), which were identified as Bacillus thuringiensis, Ochrobactrum anthropi, and Bordetella bronchialis, respectively, based on their 16S rDNA sequences. Moreover, the physiological and biochemical properties of these three strains were analyzed by Gram staining, catalase, oxidase, and Voges–Proskauer tests. Transmission electron microscopy showed that all three strains were rod shaped with flagella. Gas chromatography and mass spectrometric analyses indicated that medium‐ and long‐chain n‐alkanes in diesel oil (C11–C29) were degraded to different degrees by B. thuringiensis, O. anthropi, and B. bronchialis, and the degradation rates gradually decreased as the carbon numbers increased. Overall, the results of this study indicate strains CQ8‐1, CQ8‐2, and CQ11 might be useful for environmentally friendly and cost‐effective bioremediation of oil‐contaminated soils.

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Modeling and qualitative study of diesel biodegradation using biopile process in sandy soil

Cited by 52 publications

References 25 publications

Bioremediation of Diesel Fuel by Fungal Consortium Using Statistical Experimental Designs

Bioremediation of Diesel Fuel by Fungal Consortium Using Statistical Experimental Designs

The Monod and a biphasic biodegradation kinetics of diesel hydrocarbons by a biofilm of Pseudomonas and the potential electromotive force involved

Isolation, identification, and characterization of diesel‐oil‐degrading bacterial strains indigenous to Changqing oil field, China

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