Long-term formation of microbial products in a sequencing batch reactor.
Activated sludge in a sequencing batch reactor (SBR) is subjected to alternating feast-and-famine conditions, which may result in the enhanced production of microbial products: extracellular polymeric substances (EPS), soluble microbial products (SMP), and internal storage products (X(STO)). In this work, the long-term formation of these three microbial products by activated sludge in an SBR is investigated using an expanded unified model with a parallel experimental study. We also use the model to compare the impacts in an SBR to those in a continuous-flow activated sludge system. The model captures all experimental trends for all components with solids retention time (SRT) for global steady state and within a cycle. At an SRT of 20 days, the active microorganisms constitute about 28% of the mixed liquor volatile suspended solids (MLVSS); the remaining biomass is comprised of residual inert biomass (X(I)) of 40%, EPS of 31%, and X(STO) of approximately 1%. The active biomass becomes a smaller fraction with the increasing SRT, while the inert biomass becomes increasingly dominant. For soluble components, effluent chemical oxygen demand (COD) is dominated by SMP, which varies to some degree in a cycle, peaking as external substrate becomes depleted. Within the SBR cycle, external substrate (S) declines strongly in the first part of the cycle, and SMP shows a small peak at the time of S depletion. X(STO) is the only biomass component that varies significantly during the cycle. It peaks at the time that the input substrate (S) is depleted. Simulation for a continuous-flow activated sludge system and comparison with an SBR reveals that the constant "famine" conditions of the continuous system lead to lower EPS and X(STO), but higher MLVSS and X(I).
Ni
Bing-Jie
BJ
Lab of Environmental Engineering, Department of Chemistry, University of Science & Technology of China, Hefei 230026, China.
Rittmann
Bruce E
BE
Fang
Fang
F
Xu
Juan
J
Yu
Han-Qing
HQ
D001419:Bacteria / Q000378:metabolism*; D019149:Bioreactors / Q000382:microbiology*; D003198:Computer Simulation; D007700:Kinetics; D008954:Models, Biological; D012722:Sewage / Q000382:microbiology; D013997:Time Factors
D012722:Sewage