Literature DB >> 20352197

Cytometric methods for measuring bacteria in water: advantages, pitfalls and applications.

Frederik Hammes1, Thomas Egli.   

Abstract

Rapid detection of microbial cells is a challenge in microbiology, particularly when complex indigenous communities or subpopulations varying in viability, activity and physiological state are investigated. Flow cytometry (FCM) has developed during the last 30 years into a multidisciplinary technique for analysing bacteria. When used correctly, FCM can provide a broad range of information at the single-cell level, including (but not limited to) total counts, size measurements, nucleic acid content, cell viability and activity, and detection of specific bacterial groups or species. The main advantage of FCM is that it is fast and easy to perform. It is a robust technique, which is adaptable to different types of samples and methods, and has much potential for automation. Hence, numerous FCM applications have emerged in industrial biotechnology, food and pharmaceutical quality control, routine monitoring of drinking water and wastewater systems, and microbial ecological research in soils and natural aquatic habitats. This review focuses on the information that can be gained from the analysis of bacteria in water, highlighting some of the main advantages, pitfalls and applications.

Entities:  

Mesh:

Year:  2010        PMID: 20352197     DOI: 10.1007/s00216-010-3646-3

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  20 in total

1.  Mechanisms determining the fate of dispersed bacterial communities in new environments.

Authors:  Anna J Székely; Mercè Berga; Silke Langenheder
Journal:  ISME J       Date:  2012-07-19       Impact factor: 10.302

2.  Amperometric genosensor for culture independent bacterial count.

Authors:  Xingxing Jiang; Shuping Liu; Minghui Yang; Avraham Rasooly
Journal:  Sens Actuators B Chem       Date:  2019-08-08       Impact factor: 7.460

3.  Characterization of functionally distinct mitochondrial subpopulations.

Authors:  Janet E Saunders; Craig C Beeson; Rick G Schnellmann
Journal:  J Bioenerg Biomembr       Date:  2012-10-19       Impact factor: 2.945

4.  Fluorescence-based rapid detection of microbiological contaminants in water samples.

Authors:  Hervé Meder; Anne Baumstummler; Renaud Chollet; Sophie Barrier; Monika Kukuczka; Frédéric Olivieri; Esther Welterlin; Vincent Beguin; Sébastien Ribault
Journal:  ScientificWorldJournal       Date:  2012-04-30

5.  Changes in Microbial Plankton Assemblages Induced by Mesoscale Oceanographic Features in the Northern Gulf of Mexico.

Authors:  Alicia K Williams; Allison S McInnes; Jay R Rooker; Antonietta Quigg
Journal:  PLoS One       Date:  2015-09-16       Impact factor: 3.240

6.  A comparison of conventional methods for the quantification of bacterial cells after exposure to metal oxide nanoparticles.

Authors:  Hongmiao Pan; Yongbin Zhang; Gui-Xin He; Namrata Katagori; Huizhong Chen
Journal:  BMC Microbiol       Date:  2014-08-21       Impact factor: 3.605

7.  New Detection Platform for Screening Bacteria in Liquid Samples.

Authors:  Rita La Spina; Diana C António; Radoslaw Bombera; Teresa Lettieri; Anne-Sophie Lequarré; Pascal Colpo; Andrea Valsesia
Journal:  Biosensors (Basel)       Date:  2021-05-01

8.  Flow cytometry total cell counts: a field study assessing microbiological water quality and growth in unchlorinated drinking water distribution systems.

Authors:  G Liu; E J Van der Mark; J Q J C Verberk; J C Van Dijk
Journal:  Biomed Res Int       Date:  2013-06-02       Impact factor: 3.411

9.  Detection of Vibrio cholerae O1 and O139 in environmental waters of rural Bangladesh: a flow-cytometry-based field trial.

Authors:  L Righetto; R U Zaman; Z H Mahmud; E Bertuzzo; L Mari; R Casagrandi; M Gatto; S Islam; A Rinaldo
Journal:  Epidemiol Infect       Date:  2014-12-11       Impact factor: 4.434

10.  The feasibility of automated online flow cytometry for in-situ monitoring of microbial dynamics in aquatic ecosystems.

Authors:  Michael D Besmer; David G Weissbrodt; Bradley E Kratochvil; Jürg A Sigrist; Mathias S Weyland; Frederik Hammes
Journal:  Front Microbiol       Date:  2014-06-02       Impact factor: 5.640

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