Literature DB >> 28214393

Flow cytometric bacterial cell counts challenge conventional heterotrophic plate counts for routine microbiological drinking water monitoring.

S Van Nevel1, S Koetzsch2, C R Proctor3, M D Besmer2, E I Prest4, J S Vrouwenvelder5, A Knezev6, N Boon1, F Hammes7.   

Abstract

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.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cultivation; Flow cytometry (FCM); Heterotrophic plate counts (HPC); Microbiological drinking water quality; Routine water monitoring

Mesh:

Substances:

Year:  2017        PMID: 28214393     DOI: 10.1016/j.watres.2017.01.065

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  22 in total

1.  Experimental use of flow cytometry to detect bacteria viability after hyperbaric oxygen exposure: Work in progress report.

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2.  Population Structure and Morphotype Analysis of "Candidatus Accumulibacter" Using Fluorescence In Situ Hybridization-Staining-Flow Cytometry.

Authors:  Chao Li; Wei Zeng; Ning Li; Yu Guo; Yongzhen Peng
Journal:  Appl Environ Microbiol       Date:  2019-04-18       Impact factor: 4.792

3.  Occurrence and biofilm forming ability of Pseudomonas aeruginosa in the water output of dental unit waterlines in a dental center in Alexandria, Egypt.

Authors:  Sheref Gawish; Aleya Abbass; Amani Abaza
Journal:  Germs       Date:  2019-06-03

4.  A palette of fluorophores that are differentially accumulated by wild-type and mutant strains of Escherichia coli: surrogate ligands for profiling bacterial membrane transporters.

Authors:  Jesus Enrique Salcedo-Sora; Srijan Jindal; Steve O'Hagan; Douglas B Kell
Journal:  Microbiology (Reading)       Date:  2021-02       Impact factor: 2.777

5.  Laboratory-Scale Simulation and Real-Time Tracking of a Microbial Contamination Event and Subsequent Shock-Chlorination in Drinking Water.

Authors:  Michael D Besmer; Jürg A Sigrist; Ruben Props; Benjamin Buysschaert; Guannan Mao; Nico Boon; Frederik Hammes
Journal:  Front Microbiol       Date:  2017-10-04       Impact factor: 5.640

Review 6.  Opening the black box of spring water microbiology from alpine karst aquifers to support proactive drinking water resource management.

Authors:  Domenico Savio; Philipp Stadler; Georg H Reischer; Alexander K T Kirschner; Katalin Demeter; Rita Linke; Alfred P Blaschke; Regina Sommer; Ulrich Szewzyk; Inés C Wilhartitz; Robert L Mach; Hermann Stadler; Andreas H Farnleitner
Journal:  WIREs Water       Date:  2018-03-09       Impact factor: 6.139

7.  Rapid Detection Methods for Bacterial Pathogens in Ambient Waters at the Point of Sample Collection: A Brief Review.

Authors:  Jing Li; Yanzhe Zhu; Xunyi Wu; Michael R Hoffmann
Journal:  Clin Infect Dis       Date:  2020-07-29       Impact factor: 9.079

8.  Rapid Enrichment and Isolation of Polyphosphate-Accumulating Organisms Through 4'6-Diamidino-2-Phenylindole (DAPI) Staining With Fluorescence-Activated Cell Sorting (FACS).

Authors:  Mia Terashima; Yoichi Kamagata; Souichiro Kato
Journal:  Front Microbiol       Date:  2020-04-30       Impact factor: 5.640

9.  Phylogenetic clustering of small low nucleic acid-content bacteria across diverse freshwater ecosystems.

Authors:  Caitlin R Proctor; Michael D Besmer; Timon Langenegger; Karin Beck; Jean-Claude Walser; Martin Ackermann; Helmut Bürgmann; Frederik Hammes
Journal:  ISME J       Date:  2018-02-07       Impact factor: 10.302

10.  Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources perturbed anaerobic microbiomes.

Authors:  Abhishek S Dhoble; Pratik Lahiri; Kaustubh D Bhalerao
Journal:  J Biol Eng       Date:  2018-09-12       Impact factor: 4.355

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