Title :
Optimized Biodegradation of Pulping Effluent by Microbial Combination with Statistical Experimental Design
Author :
Chen, Honglei ; Chen, Yuancai ; Zhan, Huaiyu ; Fu, Shiyu
Author_Institution :
State Key Lab. of Pulp & Paper Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
Statistics based experimental designs were used to construct a mixed-culture community for maximal chemical oxygen demand (COD) degradation of pulping effluents. By applying a fractional factorial design (FFD) of experiments, the significant effect of each strain on COD degradation was first quantified. Then steepest ascent method was employed to approach the experimental design space, followed by an application of response surface methodology (RSM) for further optimization. A quadratic model was found to be fit COD removal efficiency. Response surface analysis revealed that the optimum levels of the tested variables for the degradation of COD. A COD removal efficiency of (65.3 ±± 0.5) % was observed in verification experiment, which was close to the predicted value.
Keywords :
design of experiments; effluents; environmental degradation; industrial waste; microorganisms; paper industry; response surface methodology; wastewater treatment; COD degradation; COD removal efficiency; biodegradation; fractional factorial design of experiments; maximal chemical oxygen demand degradation; mixed-culture community; pulping effluents; quadratic model; response surface methodology; statistical experimental design; Biodegradation; Capacitive sensors; Chemicals; Degradation; Design for experiments; Design optimization; Effluents; Response surface methodology; Statistics; Surface fitting;
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4712-1
Electronic_ISBN :
2151-7614
DOI :
10.1109/ICBBE.2010.5515771
