alexa A statistical experiment design approach for optimizing biodegradation of weathered crude oil in coastal sediments.
Environmental Sciences

Environmental Sciences

Journal of Bioremediation & Biodegradation

Author(s): Mohajeri L, Aziz HA, Isa MH, Zahed MA

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Abstract This work studied the bioremediation of weathered crude oil (WCO) in coastal sediment samples using central composite face centered design (CCFD) under response surface methodology (RSM). Initial oil concentration, biomass, nitrogen and phosphorus concentrations were used as independent variables (factors) and oil removal as dependent variable (response) in a 60 days trial. A statistically significant model for WCO removal was obtained. The coefficient of determination (R(2)=0.9732) and probability value (P<0.0001) demonstrated significance for the regression model. Numerical optimization based on desirability function were carried out for initial oil concentration of 2, 16 and 30 g per kg sediment and 83.13, 78.06 and 69.92 per cent removal were observed respectively, compare to 77.13, 74.17 and 69.87 per cent removal for un-optimized results. This article was published in Bioresour Technol and referenced in Journal of Bioremediation & Biodegradation

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