Zeng Raymond J, Yuan Zhiguo, Keller Jürg
Advanced Wastewater Management Centre (AWMC), The University of Queensland, St. Lucia, Brisbane 4072, Australia.
Biotechnol Bioeng. 2003 Aug 5;83(3):293-302. doi: 10.1002/bit.10671.
An increasing number of studies shows that the glycogen-accumulating organisms (GAOs) can survive and may indeed proliferate under the alternating anaerobic/aerobic conditions found in EBPR systems, thus forming a strong competitor of the polyphosphate-accumulating organisms (PAOs). Understanding their behaviors in a mixed PAO and GAO culture under various operational conditions is essential for developing operating strategies that disadvantage the growth of this group of unwanted organisms. A model-based data analysis method is developed in this paper for the study of the anaerobic PAO and GAO activities in a mixed PAO and GAO culture. The method primarily makes use of the hydrogen ion production rate and the carbon dioxide transfer rate resulting from the acetate uptake processes by PAOs and GAOs, measured with a recently developed titration and off-gas analysis (TOGA) sensor. The method is demonstrated using the data from a laboratory-scale sequencing batch reactor (SBR) operated under alternating anaerobic and aerobic conditions. The data analysis using the proposed method strongly indicates a coexistence of PAOs and GAOs in the system, which was independently confirmed by fluorescent in situ hybridization (FISH) measurement. The model-based analysis also allowed the identification of the respective acetate uptake rates by PAOs and GAOs, along with a number of kinetic and stoichiometric parameters involved in the PAO and GAO models. The excellent fit between the model predictions and the experimental data not involved in parameter identification shows that the parameter values found are reliable and accurate. It also demonstrates that the current anaerobic PAO and GAO models are able to accurately characterize the PAO/GAO mixed culture obtained in this study. This is of major importance as no pure culture of either PAOs or GAOs has been reported to date, and hence the current PAO and GAO models were developed for the interpretation of experimental results of mixed cultures. The proposed method is readily applicable for detailed investigations of the competition between PAOs and GAOs in enriched cultures. However, the fermentation of organic substrates carried out by ordinary heterotrophs needs to be accounted for when the method is applied to the study of PAO and GAO competition in full-scale sludges.
越来越多的研究表明,糖原积累型微生物(GAOs)能够在强化生物除磷(EBPR)系统中交替出现的厌氧/好氧条件下存活,甚至可能大量繁殖,从而成为聚磷积累型微生物(PAOs)的强大竞争对手。了解它们在不同运行条件下与PAOs混合培养时的行为,对于制定不利于这类有害微生物生长的运行策略至关重要。本文开发了一种基于模型的数据分析方法,用于研究PAOs和GAOs混合培养体系中的厌氧PAO和GAO活性。该方法主要利用了通过最近开发的滴定和尾气分析(TOGA)传感器测量得到的PAOs和GAOs摄取乙酸盐过程中产生的氢离子产生速率和二氧化碳转移速率。使用在交替厌氧和好氧条件下运行的实验室规模序批式反应器(SBR)的数据对该方法进行了验证。使用所提出的方法进行数据分析有力地表明了系统中PAOs和GAOs的共存,这一点通过荧光原位杂交(FISH)测量得到了独立证实。基于模型的分析还能够确定PAOs和GAOs各自的乙酸盐摄取速率,以及PAO和GAO模型中涉及的一些动力学和化学计量参数。模型预测与未参与参数识别的实验数据之间的良好拟合表明所找到的参数值是可靠且准确的。这也证明了当前的厌氧PAO和GAO模型能够准确地表征本研究中获得的PAO/GAO混合培养物。这一点非常重要,因为迄今为止尚未报道过PAOs或GAOs的纯培养物,因此当前的PAO和GAO模型是为解释混合培养物的实验结果而开发的。所提出的方法很容易应用于详细研究富集培养物中PAOs和GAOs之间的竞争。然而,当该方法应用于研究实际规模污泥中PAO和GAO的竞争时,需要考虑普通异养菌对有机底物的发酵作用。