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Microbial quantification in activated sludge: the hits and misses

机译:活性污泥中的微生物定量:命中和遗漏

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摘要

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.
机译:自从实施活性污泥法处理废水以来,一直依靠化学和物理参数来监测系统。但是,在生物营养去除(BNR)过程中,应将负责某些转化的微生物用于监测过程,其总体目标是实现更好的处理性能。为了实现这一目标,需要开发涉及BNR的关键微生物的原位鉴定和快速定量技术。这项研究探索了硝化螺菌的定量,硝化螺菌是BNR中亚硝酸盐氧化成硝酸盐的关键生物。评价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),然后进行数字图像分析。尝试了在批量测试中确定的硝化螺菌定量数据与硝酸盐生成速率之间的相关性。将讨论两种方法的缺点和优点。

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