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Application of statistical experimental methodology to optimize bioremediation of n-alkanes in aquatic environment

Zahed, M.A. and Aziz, H.A. and Mohajeri, L. and Mohajeri, S. and Kutty, S.R.M. and Isa, M.H. (2010) Application of statistical experimental methodology to optimize bioremediation of n-alkanes in aquatic environment. [Citation Index Journal]

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Abstract

Response surface methodology (RSM) was employed to optimize nitrogen and phosphorus concentrations for removal of n-alkanes from crude oil contaminated seawater samples in batch reactors. Erlenmeyer flasks were used as bioreactors; each containing 250mL dispersed crude oil contaminated seawater, indigenous acclimatized microorganism and different amounts of nitrogen and phosphorus based on central composite design (CCD). Samples were extracted and analyzed according to US-EPA protocols using a gas chromatograph. During 28 days of bioremediation, a maximum of 95% total aliphatic hydrocarbons removal was observed. The obtained Model F-value of 267.73 and probability F < 0.0001 implied the model was significant. Numerical condition optimization via a quadratic model, predicted 98% n-alkanes removal for a 20-day laboratory bioremediation trial using nitrogen and phosphorus concentrations of 13.62 and 1.39 mg/L, respectively. In actual experiments, 95% removal was observed under these conditions.

Item Type:Citation Index Journal
Impact Factor:4.144
Uncontrolled Keywords:Biodegradation, Crude oil, Petroleum hydrocarbons, Marine pollution, RSM
Subjects:T Technology > TD Environmental technology. Sanitary engineering
Academic Subject Three:petroleum engineering
Departments / MOR / COE:Departments > Civil Engineering
ID Code:2937
Deposited By: Assoc Prof Dr Mohamed Hasnain Isa
Deposited On:09 Nov 2010 00:29
Last Modified:20 Mar 2017 01:59

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