TY  - JOUR
N2  - 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. © 2009 Elsevier Ltd. All rights reserved.
IS  - 3
KW  - Central composite; Coastal sediments; Coefficient of determination; Dependent variables; Desirability function; Independent variables; Nitrogen nutrient; Numerical optimizations; Oil concentration; Oil removal; Phosphorus concentration; Regression model; Response Surface Methodology; Statistical experiments; Statistically significant models; Weathered crude oil
KW  -  Biodegradation; Biomass; Bioremediation; Biotechnology; Crude petroleum; Nitrogen; Nutrients; Optimization; Phosphorus; Pollution; Probability density function; Regression analysis; Sedimentology
KW  -  Nitrogen removal
KW  -  nitrogen; petroleum; phosphorus
KW  -  biodegradation; bioremediation; coastal sediment; concentration (composition); crude oil; experimental design; nitrogen; numerical model; optimization; phosphorus; pollutant removal; sediment pollution
KW  -  article; biomass; bioremediation; concentration (parameters); controlled study; Malaysia; mathematical analysis; priority journal; probability; process optimization; response surface method; seashore; sediment; statistical analysis; statistical significance; waste component removal
KW  -  Biodegradation
KW  -  Environmental; Biomass; Geologic Sediments; Industrial Waste; Models
KW  -  Statistical; Nitrogen; Oils; Petroleum; Phosphorus; Regression Analysis; Reproducibility of Results; Software; Temperature; Time Factors; Waste Disposal
KW  -  Fluid; Water Pollutants
KW  -  Chemical
ID  - scholars1310
Y1  - 2010///
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-70450165321&doi=10.1016%2fj.biortech.2009.09.013&partnerID=40&md5=42694ae36931c9c8d53fbe6d0a8e018d
JF  - Bioresource Technology
A1  - Mohajeri, L.
A1  - Aziz, H.A.
A1  - Isa, M.H.
A1  - Zahed, M.A.
VL  - 101
AV  - none
N1  - cited By 112
TI  - A statistical experiment design approach for optimizing biodegradation of weathered crude oil in coastal sediments
SP  - 893
SN  - 09608524
EP  - 900
ER  -