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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 Bacteris Aigua Drinking water Escherichia coli Bacteria Water |
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. |
Note: | Reproducció del document publicat a: https://doi.org/10.1016/j.watres.2021.117543 |
It is part of: | Water Research, 2021, vol. 203, p. 117543 |
URI: | http://hdl.handle.net/2445/185708 |
Related resource: | https://doi.org/10.1016/j.watres.2021.117543 |
ISSN: | 0043-1354 |
Appears in Collections: | Articles publicats en revistes (Genètica, Microbiologia i Estadística) |
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