Werker Alan G, Becker Jennifer, Huitema Carly
Department of Civil Engineering, University of Waterloo, 200 University Avenue West, Ont., Canada N2L 3G1.
Water Res. 2003 May;37(9):2162-72. doi: 10.1016/S0043-1354(02)00625-5.
This investigation introduces the application of a relatively rapid technique to obtain information about the dynamic nature of microbial communities in activated sludge. The objective has been to consider variability due to measurement errors and protocol changes within the same quantitative framework as the analysis of systematic differences in microbial communities in large-scale aerobic activated sludge secondary wastewater treatment systems. Adjustments to the methodology were considered due to their potential for simplifying and shortening the analysis procedure. All modifications to the protocols used to assay the composition of microbial fatty acids (MFAs) of activated sludge imposed some bias to the chromatographic data. This methodological bias was similar in magnitude to the level of discrimination between activated sludge microbial community structures that were considered as part of the present study. MFA analysis supported the expectations of subtle but systematic community structure differences and shifts in activated sludge based on the current understanding of these wastewater treatment systems. A standardized MFA methodology was shown to be sensitive to minor systematic changes in activated sludge communities due the anticipated underlying factors of selective pressures from the process configuration, history, operational conditions and/or nutrient status. The chemometric approach of fatty acid isopropyl ester analysis of activated sludge can provide a routine tool for meaningful and quantitative information of changes in activated sludge quality in full-scale treatment systems.
本研究介绍了一种相对快速的技术在获取活性污泥中微生物群落动态性质信息方面的应用。目标是在与大规模好氧活性污泥二级废水处理系统中微生物群落系统差异分析相同的定量框架内,考虑测量误差和实验方案变化引起的变异性。由于方法有简化和缩短分析程序的潜力,因此对方法进行了调整。用于分析活性污泥微生物脂肪酸(MFA)组成的所有实验方案修改都会给色谱数据带来一些偏差。这种方法偏差的大小与本研究中所考虑的活性污泥微生物群落结构之间的区分水平相似。基于对这些废水处理系统的当前理解,MFA分析支持了活性污泥中存在细微但系统的群落结构差异和变化的预期。由于工艺配置、历史、运行条件和/或营养状况等预期潜在选择压力因素,标准化的MFA方法对活性污泥群落中的微小系统变化很敏感。活性污泥脂肪酸异丙酯分析的化学计量学方法可为全规模处理系统中活性污泥质量变化提供有意义的定量信息的常规工具。