Ni Bing-Jie, Yu Han-Qing
Laboratory of Environmental Biotechnology, School of Chemistry, University of Science & Technology of China, Hefei, 230026, China.
Appl Microbiol Biotechnol. 2007 Dec;77(3):723-31. doi: 10.1007/s00253-007-1185-4. Epub 2007 Sep 27.
A mathematical model is developed to describe the growth of multiple microbial species such as heterotrophs and autotrophs in activated sludge system. Performance of a lab-scale sequencing batch reactor involving storage process is used to evaluate the model. Results show that the model is appropriate for predicting the fate of major model components, i.e., chemical oxygen demand, storage polymers (X(STO)), volatile suspended solid (VSS), ammonia, and oxygen uptake rate (OUR). The influence of sludge retention time (SRT) on reactor performance is analyzed by model simulation. The biomass components require different time periods from one to four times of SRT to reach steady state. At an SRT of 20 days, the active bacteria (autotrophs and heterotrophs) constitute about 57% of the VSS; the remaining biomass is not active. The model established demonstrates its capacity of simulating the reactor performance and getting insight in autotrophic and heterotrophic growth in complex activated sludge systems.
建立了一个数学模型来描述活性污泥系统中多种微生物（如异养菌和自养菌）的生长情况。利用一个涉及储存过程的实验室规模序批式反应器的性能来评估该模型。结果表明，该模型适用于预测主要模型组分的变化情况，即化学需氧量、储存聚合物（X(STO)）、挥发性悬浮固体（VSS）、氨和氧摄取率（OUR）。通过模型模拟分析了污泥停留时间（SRT）对反应器性能的影响。生物质组分达到稳态所需的时间周期不同，为SRT的1至4倍。在SRT为20天时, 活性细菌（自养菌和异养菌）约占VSS的57%；其余生物质无活性。所建立的模型展示了其模拟反应器性能以及深入了解复杂活性污泥系统中自养和异养生长情况的能力。
