A statistical experiment design approach for optimizing biodegradation of weathered crude oil in coastal sediments.
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.
Mohajeri
Leila
L
School of Civil Engineering, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang, Malaysia.
Aziz
Hamidi Abdul
HA
Isa
Mohamed Hasnain
MH
Zahed
Mohammad Ali
MA
D001673:Biodegradation, Environmental; D018533:Biomass; D019015:Geologic Sediments; D007220:Industrial Waste; D015233:Models, Statistical; D009584:Nitrogen / Q000032:analysis; D009821:Oils; D010578:Petroleum; D010758:Phosphorus / Q000032:analysis; D012044:Regression Analysis; D015203:Reproducibility of Results; D012984:Software; D013696:Temperature; D013997:Time Factors; D014865:Waste Disposal, Fluid / Q000379:methods; D014874:Water Pollutants, Chemical / Q000378:metabolism
D007220:Industrial Waste; D009821:Oils; D010578:Petroleum; D014874:Water Pollutants, Chemical; D010758:Phosphorus; D009584:Nitrogen