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A statistical experiment design approach for optimizing biodegradation of weathered crude oil in coastal sediments

Mohajeri, L. and Aziz, H.A. and Isa, M.H. and Zahed, M.A. (2010) A statistical experiment design approach for optimizing biodegradation of weathered crude oil in coastal sediments. Bioresource Technology, 101 (3). pp. 893-900.

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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 (R2 = 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.

Item Type:Article
Impact Factor:4.453
Uncontrolled Keywords:Bioremediation, Petroleum, Nutrient, Nitrogen, Phosphorus
Subjects:T Technology > TD Environmental technology. Sanitary engineering
Academic Subject Three:petroleum engineering
Departments / MOR / COE:Departments > Civil Engineering
ID Code:1428
Deposited By: Assoc Prof Dr Mohamed Hasnain Isa
Deposited On:21 Apr 2010 08:18
Last Modified:20 Mar 2017 01:59

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