Optimization of process parameters for the bioconversion of activated sludge by Penicillium corylophilum, using response surface methodology  

作　　者：Sarkar Mannan Ahmadun Fakhru'l-Razi Md Zahangir Alam 

机构地区：[1]Department of Chemical and Environmental Engineering Faculty of Engineering,University Putra Malaysia (UPM),43400 UPM Serdang,Selangor,D.E.,Malaysia. [2]Department of Biotechnology Engineering Faculty of Engineering,International Islamic University Malaysia (IIUM),Jalan Gombak,53100 Kuala Lumpur,Malaysia.

出　　处：《Journal of Environmental Sciences》2007年第1期23-28,共6页环境科学学报（英文版）

摘　　要：The optimization of process parameters for the bioconversion of activated sludge by Penicillium corylophilum was investigated using response surface methodology （RSM）. The three parameters namely temperature of 33℃, agitation of 150 r/min, and pH of 5 were chosen as center point from the previous study of fungal treatment. The experimental data on chemical oxygen demand （COD） removal （%） were fitted into a quadratic polynomial model using multiple regression analysis. The optimum process conditions were determined by analyzing response surface three-dimensional surface plot and contour plot and by solving the regression model equation with Design Expert software. Box-Behnken design technique under RSM was used to optimize their interactions, which showed that an incubation temperature of 32.5℃, agitation of 105 r/min, and pH of 5.5 were the best conditions. Under these conditions, the maximum predicted yield of COD removal was 98.43%. These optimum conditions were used to evaluate the trail experiment, and the maximum yield of COD removal was recorded as 98.5%.The optimization of process parameters for the bioconversion of activated sludge by Penicillium corylophilum was investigated using response surface methodology （RSM）. The three parameters namely temperature of 33℃, agitation of 150 r/min, and pH of 5 were chosen as center point from the previous study of fungal treatment. The experimental data on chemical oxygen demand （COD） removal （%） were fitted into a quadratic polynomial model using multiple regression analysis. The optimum process conditions were determined by analyzing response surface three-dimensional surface plot and contour plot and by solving the regression model equation with Design Expert software. Box-Behnken design technique under RSM was used to optimize their interactions, which showed that an incubation temperature of 32.5℃, agitation of 105 r/min, and pH of 5.5 were the best conditions. Under these conditions, the maximum predicted yield of COD removal was 98.43%. These optimum conditions were used to evaluate the trail experiment, and the maximum yield of COD removal was recorded as 98.5%.

关 键 词：OPTIMIZATION response surface methodology PENICILLIUM activated sludge domestic wastewater sludge 

分 类 号：X703[环境科学与工程—环境工程]