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Title: Rapid and improved identification of drinking water bacteria using the Drinking Water Library, a dedicated MALDI-TOF MS database.
Author: Pinar-Méndez, Anna
Fernández, Sonia
Baquero, David
Vilaró, Carles
Galofré, Belén
González, Susana
Rodrigo-Torres, Lidia
Arahal, David R.
Macián, M. Carmen
Ruvira, María A.
Aznar, Rosa
Caudet-Segarra, Laia
Sala Comorera, Laura
Lucena Gutiérrez, Francisco
Blanch i Gisbert, Anicet
García Aljaro, Cristina
Keywords: Aigua potable
Escheríchia coli
Drinking water
Escherichia coli
Issue Date: 7-Aug-2021
Publisher: Elsevier Ltd
Abstract: According to the European Directives (UE) 2020/2184 and 2009/54/EC, which establishes the sanitary criteria for water intended for human consumption in Europe, water suitable for human consumption must be free of the bacterial indicators Escherichia coli, Clostridium perfringens and Enterococcus spp. Drinking water is also monitored for heterotrophic bacteria, which are not a human health risk, but can serve as an index of bacteriological water quality. Therefore, a rapid, accurate, and cost-effective method for the identification of these colonies would improve our understanding of the culturable bacteria of drinking water and facilitate the task of water management by treatment facilities. Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) is potentially such a method, although most of the currently available mass spectral libraries have been developed in a clinical setting and have limited environmental applicability. In this work, a MALDITOF MS drinking water library (DWL) was defined and developed by targeting bacteria present in water intended for human consumption. This database, made up of 319 different bacterial strains, can contribute to the routine microbiological control of either treated drinking water or mineral bottled water carried out by water treatment and distribution operators, offering a faster identification rate compared to a clinical sample-based library. The DWL, made up of 96 bacterial genera, 44 of which are not represented in the MALDI-TOF MS bacterial Bruker Daltonics (BDAL) database, was found to significantly improve the identification of bacteria present in drinking water.
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It is part of: Water Research, 2021, vol. 203, p. 117543
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ISSN: 0043-1354
Appears in Collections:Articles publicats en revistes (Genètica, Microbiologia i Estadística)

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