Literature DB >> 30099824

Autonomous system for rapid field quantification of Escherichia coli in surface waters.

D E Angelescu1, V Huynh1, A Hausot1, G Yalkin1, V Plet1, J-M Mouchel2, S Guérin-Rechdaoui3, S Azimi3, V Rocher3.   

Abstract

AIMS: The purpose of this work is to present and evaluate the performance of a novel Automatic Lab-in-vial Escherichia coli Remote Tracking technology based on an automated real-time defined substrate approach, implemented in both portable and in situ instruments. METHODS AND
RESULTS: We present the fresh water calibration procedure, and assess performance using side-by-side comparison with most probable number (MPN) approaches in terms of accuracy, reproducibility and capability to correctly generate early-warning alerts. Long-term data from an operational in situ deployment at a potential bathing site is presented as well.
CONCLUSIONS: Automatic Lab-in-vial Escherichia coli Remote Tracking technology is shown to be an accurate and rapid bacterial quantification technology, capable of autonomous in situ measurements with metrological capabilities comparable to those of an approved laboratory using MPN microplate techniques. SIGNIFICANCE AND IMPACT OF THE STUDY: Rapid quantification of bacterial pollution is a requirement in water quality applications ranging from recreational water use, agriculture and aquaculture to drinking and wastewater treatment. The method and instruments presented in this work should enable fast and accurate bacterial concentration measurements to be performed in a portable or in situ manner, thus simplifying operational logistics, reducing time-to-result delays, and eliminating sample transportation constraints associated with traditional techniques.
© 2018 The Society for Applied Microbiology.

Entities:  

Keywords:  Escherichia coli (all potentially pathogenic types); environmental/recreational water; rapid quantification; rapid test; surface waters; wastewater; water quality

Mesh:

Year:  2018        PMID: 30099824     DOI: 10.1111/jam.14066

Source DB:  PubMed          Journal:  J Appl Microbiol        ISSN: 1364-5072            Impact factor:   3.772


  2 in total

Review 1.  Microbial biosensors for recreational and source waters.

Authors:  H D Alan Lindquist
Journal:  J Microbiol Methods       Date:  2020-09-15       Impact factor: 2.363

2.  Capacity challenges in water quality monitoring: understanding the role of human development.

Authors:  Sabrina Kirschke; Tamara Avellán; Ilona Bärlund; Janos J Bogardi; Laurence Carvalho; Deborah Chapman; Chris W S Dickens; Kenneth Irvine; SungBong Lee; Thomas Mehner; Stuart Warner
Journal:  Environ Monit Assess       Date:  2020-04-19       Impact factor: 2.513

  2 in total

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