Literature DB >> 24958608

Identification of water-conditioned Pseudomonas aeruginosa by Raman microspectroscopy on a single cell level.

Anja Silge1, Wilm Schumacher1, Petra Rösch1, Paulo A Da Costa Filho2, Cédric Gérard3, Jürgen Popp4.   

Abstract

The identification of Pseudomonas aeruginosa from samples of bottled natural mineral water by the analysis of subcultures is time consuming and other species of the authentic Pseudomonas group can be a problem. Therefore, this study aimed to investigate the influence of different aquatic environmental conditions (pH, mineral content) and growth phases on the cultivation-free differentiation between water-conditioned Pseudomonas spp. by applying Raman microspectroscopy. The final dataset was comprised of over 7500 single-cell Raman spectra, including the species Pseudomonas aeruginosa, P. fluorescens and P. putida, in order to prove the feasibility of the introduced approach. The collection of spectra was standardized by automated measurements of viable stained bacterial cells. The discrimination was influenced by the growth phase at the beginning of the water adaptation period and by the type of mineral water. Different combinations of the parameters were tested and they resulted in accuracies of up to 85% for the identification of P. aeruginosa from independent samples by applying chemometric analysis.
Copyright © 2014 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  Chemometrics; Cultivation-free identification; Natural mineral water; Pseudomonas aeruginosa; Raman microspectroscopy

Mesh:

Year:  2014        PMID: 24958608     DOI: 10.1016/j.syapm.2014.05.007

Source DB:  PubMed          Journal:  Syst Appl Microbiol        ISSN: 0723-2020            Impact factor:   4.022


  4 in total

1.  Classification and identification of pigmented cocci bacteria relevant to the soil environment via Raman spectroscopy.

Authors:  Vinay Kumar; Bernd Kampe; Petra Rösch; Jürgen Popp
Journal:  Environ Sci Pollut Res Int       Date:  2015-05-05       Impact factor: 4.223

2.  Rapid diagnosis and differentiation of microbial pathogens in otitis media with a combined Raman spectroscopy and low-coherence interferometry probe: toward in vivo implementation.

Authors:  Youbo Zhao; Guillermo L Monroy; Sixian You; Ryan L Shelton; Ryan M Nolan; Haohua Tu; Eric J Chaney; Stephen A Boppart
Journal:  J Biomed Opt       Date:  2016-10-01       Impact factor: 3.170

3.  Characterization of bacterial communities in wastewater with enhanced taxonomic resolution by full-length 16S rRNA sequencing.

Authors:  Daniela Numberger; Lars Ganzert; Luca Zoccarato; Kristin Mühldorfer; Sascha Sauer; Hans-Peter Grossart; Alex D Greenwood
Journal:  Sci Rep       Date:  2019-07-04       Impact factor: 4.379

4.  A Machine Learning-Based Raman Spectroscopic Assay for the Identification of Burkholderia mallei and Related Species.

Authors:  Amira A Moawad; Anja Silge; Thomas Bocklitz; Katja Fischer; Petra Rösch; Uwe Roesler; Mandy C Elschner; Jürgen Popp; Heinrich Neubauer
Journal:  Molecules       Date:  2019-12-10       Impact factor: 4.411

  4 in total

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