Mannan Sarkar, Fakhruĺ-Razi Ahmadun, Alam Md Zahangir
Department of Chemical and Environmental Engineering, Faculty of Engineering, University Putra Malaysia (UPM), 43400 UPM Serdang, Selangor, D.E., Malaysia.
J Environ Sci (China). 2007;19(1):23-8. doi: 10.1016/s1001-0742(07)60004-7.
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 degrees C, 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 degrees C, 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%.
采用响应面法(RSM)研究了嗜棒青霉对活性污泥进行生物转化的工艺参数优化。根据之前真菌处理研究,选择温度33℃、搅拌速度150转/分钟和pH值5作为中心点。利用多元回归分析将化学需氧量(COD)去除率的实验数据拟合为二次多项式模型。通过分析响应面三维表面图和等高线图,并使用Design Expert软件求解回归模型方程,确定了最佳工艺条件。RSM下的Box-Behnken设计技术用于优化它们之间的相互作用,结果表明培养温度32.5℃、搅拌速度105转/分钟和pH值5.5为最佳条件。在这些条件下,预测的COD去除率最大产率为98.43%。这些最佳条件用于评估试验,记录的COD去除率最大产率为98.5%。