TY  - JOUR
SN  - 02731223
EP  - 626
AV  - none
SP  - 618
TI  - Response surface analysis and modeling of n-alkanes removal through bioremediation of weathered crude oil
N1  - cited By 8
Y1  - 2011///
VL  - 63
A1  - Mohajeri, L.
A1  - Aziz, H.A.
A1  - Zahed, M.A.
A1  - Mohajeri, S.
A1  - Kutty, S.R.M.
A1  - Isa, M.H.
JF  - Water Science and Technology
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-79953182397&doi=10.2166%2fwst.2011.211&partnerID=40&md5=07de2c3d6339897e56abf9eacd4eba02
ID  - scholars2211
KW  - Bio-augmentation; Biostimulation; Central composite designs; Coastal sediments; F values; n-Alkanes; Natural attenuation; Nutrients concentrations; Oil concentration; Optimized conditions; Petroleum; Regression model; Response surface analysis; Response Surface Methodology; Weathered crude oil
KW  -  Anoxic sediments; Biodegradation; Bioremediation; Biotechnology; Crude oil; Degradation; Microbiology; Nitrogen removal; Nutrients; Optimization; Organic compounds; Phosphorus; Pollution; Regression analysis; Sedimentology; Surface analysis; Surface properties
KW  -  Paraffins
KW  -  alkane; nitrogen; petroleum; phosphorus
KW  -  alkane; bacterium; biodegradation; bioreactor; bioremediation; coastal sediment; crude oil; nitrogen; optimization; phosphorus; regression analysis
KW  -  article; attenuation; bacterium; bioreactor; bioremediation; concentration (parameters); controlled study; inoculation; nutrient; probability; response surface method; sediment; surface property; waste component removal
KW  -  Alkanes; Biodegradation
KW  -  Environmental; Bioreactors; Environmental Pollutants; Geologic Sediments; Models
KW  -  Statistical; Nitrogen; Oils; Petroleum; Phosphorus; Regression Analysis
KW  -  Bacteria (microorganisms)
N2  - Central composite design (CCD) and response surface methodology (RSM) were employed to optimize four important variables, i.e. amounts of oil, bacterial inoculum, nitrogen and phosphorus, for the removal of selected n-alkanes during bioremediation of weathered crude oil in coastal sediments using laboratory bioreactors over a 60 day experimentation period. The reactors contained 1 kg soil with different oil, microorganisms and nutrients concentrations. The F Value of 26.89 and the probability value (P < 0.0001) demonstrated significance of the regression model. For crude oil concentration of 2, 16 and 30 g per kg sediments and under optimized conditions, n-alkanes removal was 97.38, 93.14 and 90.21 respectively. Natural attenuation removed 30.07, 25.92 and 23.09 n-alkanes from 2, 16 and 30 g oil/kg sediments respectively. Excessive nutrients addition was found to inhibit bioremediation. © IWA Publishing 2011.
IS  - 4
ER  -