Bioremediation Condition Optimization of Hydrocarbon in Soil Using Response Surface Methodology by Microbial Consortium KL9-1

Abstract:

A response surface methodology was applied to optimize the bioremediation condition of hydrocarbon in soil by microbial consortium KL9-1. A four-level Box-Behnken factorial design was employed to study the relationship of independent variables and dependent variable by applying pH value, inoculation amount of microbial consortium KL9-1, ratio of nitrogen and phosphorus (N/P ) and surfactant (SDBS) concentration as independent variables (factors) and crude oil removal rate as dependent variable (response). Then the statistically significant model was obtained and numerical optimization based on desirability function was carried out for pH 7.0, inoculation amount 50.0 mL, N/P 2: 1 and SDBS concentration 4.0 g, and the hydrocarbon removal rate reached as high as 52.58%. The predictive values showed good agreement with the experimental values under the optimization conditions, by standard variance <1.3%. It showed that the optimal result was reliable.

• Periodical: Advanced Materials Research (Volumes 518-523)
• Pages: 2073-2078
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.518-523.2073
• Online since: May 2012
• Authors: Qi You Liu, Yun Bo Zhang, Dong Feng Zhao, Chao Cheng Zhao
• Keywords: Bioremediation, Petroleum Polluted Soil, Response Surface Methodology (RSM)

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