Evaluating the influence of process parameters on soluble microbial products formation using response surface methodology coupled with grey relational analysis.
Soluble microbial products (SMPs) present a major part of residual chemical oxygen demand (COD) in the effluents from biological wastewater treatment systems, and the SMP formation is greatly influenced by a variety of process parameters. In this study, response surface methodology (RSM) coupled with grey relational analysis (GRA) method was used to evaluate the effects of substrate concentration, temperature, NH(4)(+)-N concentration and aeration rate on the SMP production in batch activated sludge reactors. Carbohydrates were found to be the major component of SMP, and the influential priorities of these factors were: temperature>substrate concentration > aeration rate > NH(4)(+)-N concentration. On the basis of the RSM results, the interactive effects of these factors on the SMP formation were evaluated, and the optimal operating conditions for a minimum SMP production in such a batch activated sludge system also were identified. These results provide useful information about how to control the SMP formation of activated sludge and ensure the bioreactor high-quality effluent.
Xu
Juan
J
Department of Chemistry, University of Science and Technology of China, Hefei, China.
Sheng
Guo-Ping
GP
Luo
Hong-Wei
HW
Fang
Fang
F
Li
Wen-Wei
WW
Zeng
Raymond J
RJ
Tong
Zhong-Hua
ZH
Yu
Han-Qing
HQ
D001419:Bacteria / Q000378:metabolism; D057919:Biological Oxygen Demand Analysis; D018533:Biomass; D019149:Bioreactors; D050260:Carbohydrate Metabolism; D005246:Feedback; D012722:Sewage; D013696:Temperature; D014865:Waste Disposal, Fluid / Q000379:methods*
D012722:Sewage