Center for Microbial Ecology and Technology (CMET), Ghent University, Coupure Links 653, B-9000, Gent, Belgium.
Eawag, Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, CH-8600, Dübendorf, Switzerland.
Water Res. 2017 Apr 15;113:191-206. doi: 10.1016/j.watres.2017.01.065. Epub 2017 Feb 8.
Drinking water utilities and researchers continue to rely on the century-old heterotrophic plate counts (HPC) method for routine assessment of general microbiological water quality. Bacterial cell counting with flow cytometry (FCM) is one of a number of alternative methods that challenge this status quo and provide an opportunity for improved water quality monitoring. After more than a decade of application in drinking water research, FCM methodology is optimised and established for routine application, supported by a considerable amount of data from multiple full-scale studies. Bacterial cell concentrations obtained by FCM enable quantification of the entire bacterial community instead of the minute fraction of cultivable bacteria detected with HPC (typically < 1% of all bacteria). FCM measurements are reproducible with relative standard deviations below 3% and can be available within 15 min of samples arriving in the laboratory. High throughput sample processing and complete automation are feasible and FCM analysis is arguably less expensive than HPC when measuring more than 15 water samples per day, depending on the laboratory and selected staining procedure(s). Moreover, many studies have shown FCM total (TCC) and intact (ICC) cell concentrations to be reliable and robust process variables, responsive to changes in the bacterial abundance and relevant for characterising and monitoring drinking water treatment and distribution systems. The purpose of this critical review is to initiate a constructive discussion on whether FCM could replace HPC in routine water quality monitoring. We argue that FCM provides a faster, more descriptive and more representative quantification of bacterial abundance in drinking water.
饮用水处理厂和研究人员继续依赖已有百年历史的异养平板计数法(HPC)来常规评估水质的总体微生物质量。流式细胞术(FCM)细菌细胞计数是挑战这一现状并为改善水质监测提供机会的多种替代方法之一。在饮用水研究中应用了十多年之后,FCM 方法学得到了优化和常规应用的支持,并且有大量来自多个全尺度研究的数据支持。FCM 获得的细菌细胞浓度能够定量整个细菌群落,而不是 HPC 检测到的可培养细菌的微小部分(通常<1%的所有细菌)。FCM 测量具有低于 3%的相对标准偏差,并且可以在实验室收到样品后 15 分钟内获得。高通量样品处理和完全自动化是可行的,并且当每天测量超过 15 个水样时,FCM 分析的成本可能比 HPC 低,具体取决于实验室和所选的染色程序。此外,许多研究表明,FCM 总细胞计数(TCC)和完整细胞计数(ICC)是可靠且稳健的过程变量,对细菌丰度的变化敏感,并且与饮用水处理和分配系统的特征描述和监测相关。本文的目的是启动关于 FCM 是否可以替代 HPC 进行常规水质监测的建设性讨论。我们认为,FCM 提供了更快、更具描述性和更具代表性的饮用水中细菌丰度定量方法。
J Microbiol Methods. 2018-1
PLoS One. 2016-10-28
J Water Health. 2015-3
Water Res. 2016-12-25
Front Microbiol. 2024-9-16
Microb Biotechnol. 2024-7
Front Microbiol. 2024-5-24
Microorganisms. 2024-1-5