Hall S J, Keller J, Blackall L L
School of Molecular and Microbial Sciences, The University of Queensland, St. Lucia 4072, Australia.
Water Sci Technol. 2003;48(3):121-6.
Since the implementation of the activated sludge process for treating wastewater, there has been a reliance on chemical and physical parameters to monitor the system. However, in biological nutrient removal (BNR) processes, the microorganisms responsible for some of the transformations should be used to monitor the processes with the overall goal to achieve better treatment performance. The development of in situ identification and rapid quantification techniques for key microorganisms involved in BNR are required to achieve this goal. This study explored the quantification of Nitrospira, a key organism in the oxidation of nitrite to nitrate in BNR. Two molecular genetic microbial quantification techniques were evaluated: real-time polymerase chain reaction (PCR) and fluorescence in situ hybridisation (FISH) followed by digital image analysis. A correlation between the Nitrospira quantitative data and the nitrate production rate, determined in batch tests, was attempted. The disadvantages and advantages of both methods will be discussed.
自从采用活性污泥法处理废水以来,一直依赖化学和物理参数来监测该系统。然而,在生物脱氮(BNR)工艺中,应对负责某些转化过程的微生物进行监测,以实现更好的处理性能这一总体目标。为实现这一目标,需要开发用于BNR中关键微生物的原位鉴定和快速定量技术。本研究探讨了硝化螺菌属的定量分析,硝化螺菌属是BNR中亚硝酸盐氧化为硝酸盐过程中的关键微生物。评估了两种分子遗传微生物定量技术:实时聚合酶链反应(PCR)和荧光原位杂交(FISH),随后进行数字图像分析。尝试确定分批试验中硝化螺菌属定量数据与硝酸盐产生率之间的相关性。将讨论这两种方法的缺点和优点。