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Response Surface Analysis to Improve Dispersed Crude Oil Biodegradation
In this research, the bioremediation of dispersed crude oil, based on the amount of nitrogen and phosphorus supplementation in the closed system, was optimized by the application of response surface methodology and central composite design. Correlation analysis of the mathematical‐regression model d...
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Published in: | Clean : soil, air, water air, water, 2012-03, Vol.40 (3), p.262-267 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In this research, the bioremediation of dispersed crude oil, based on the amount of nitrogen and phosphorus supplementation in the closed system, was optimized by the application of response surface methodology and central composite design. Correlation analysis of the mathematical‐regression model demonstrated that a quadratic polynomial model could be used to optimize the hydrocarbon bioremediation (R2 = 0.9256). Statistical significance was checked by analysis of variance and residual analysis. Natural attenuation was removed by 22.1% of crude oil in 28 days. The highest removal on un‐optimized condition of 68.1% were observed by using nitrogen of 20.00 mg/L and phosphorus of 2.00 mg/L in 28 days while optimization process exhibited a crude oil removal of 69.5% via nitrogen of 16.05 mg/L and phosphorus 1.34 mg/L in 27 days therefore optimization can improve biodegradation in shorter time with less nutrient consumption.
The effectiveness of nutrient supplementation in increasing the biodegradation rate of the dispersed crude oil was investigated using response surface methodology. A removal of 69.5% could be observed in reasonable agreement with the predicted value. It can be concluded that process variable optimization can improve the biodegradation rate. |
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ISSN: | 1863-0650 1863-0669 |
DOI: | 10.1002/clen.200900215 |