Literature DB >> 21998817

Assessment of two isolation techniques for bacteria in milk towards their compatibility with Raman spectroscopy.

Susann Meisel1, Stephan Stöckel, Mandy Elschner, Petra Rösch, Jürgen Popp.   

Abstract

The identification of single microorganism in food samples by conventional plating techniques or molecular genetic methods requires a time consuming enrichment step. Raman spectroscopy in combination with a suitable extraction method however offers the possibility to rapidly identify bacteria on a single cell level. Here we evaluate the two well-known bacteria extraction methods from milk: "buoyant density centrifugation" and "enzymatic milk clearing" towards their recovery efficiency and their compatibility with Raman spectroscopy for a rapid identification of microorganisms in milk. The achieved recovery yields are slightly better compared to those which are already applied for food investigations, where a loss of one order of magnitude is usually reached. For example, buoyant density centrifugation allows collecting up to 35% of the milk-spiked microorganisms. To prove the suitability of the isolation techniques for use in combination with the spectroscopic approach, a small Raman database has been created by recording Raman spectra of well-known contaminants in dairy products. Two subspecies of Escherichia coli and three different Pseudomonas species, which were inoculated to UHT (ultra-high-temperature processed) milk and afterwards extracted by the two techniques mentioned above, were analysed. At a first glance, grave spectral artefacts caused by the matrix itself or especially by the extraction techniques were not obvious. But via chemometric analysis, it could be shown that these factors noticeably influence the identification rates: while the samples prepared via milk clearing did not provide sufficient identification results, buoyant density centrifugation allows an identification of the investigated species with an overall accuracy of 91% in combination with linear discriminant analysis.

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Year:  2011        PMID: 21998817     DOI: 10.1039/c1an15761b

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  7 in total

1.  Raman spectroscopy as a potential tool for detection of Brucella spp. in milk.

Authors:  Susann Meisel; Stephan Stöckel; Mandy Elschner; Falk Melzer; Petra Rösch; Jürgen Popp
Journal:  Appl Environ Microbiol       Date:  2012-06-01       Impact factor: 4.792

2.  A study on identification of bacteria in environmental samples using single-cell Raman spectroscopy: feasibility and reference libraries.

Authors:  Jean-Charles Baritaux; Anne-Catherine Simon; Emmanuelle Schultz; C Emain; P Laurent; Jean-Marc Dinten
Journal:  Environ Sci Pollut Res Int       Date:  2015-12-18       Impact factor: 4.223

3.  Raman spectroscopic detection of anthrax endospores in powder samples.

Authors:  S Stöckel; S Meisel; M Elschner; P Rösch; J Popp
Journal:  Angew Chem Int Ed Engl       Date:  2012-04-13       Impact factor: 15.336

4.  Weighted spectral reconstruction method for discrimination of bacterial species with low signal-to-noise ratio Raman measurements.

Authors:  Shanshan Zhu; Xiaoyu Cui; Wenbin Xu; Shuo Chen; Wei Qian
Journal:  RSC Adv       Date:  2019-03-25       Impact factor: 4.036

5.  Evaluation of the impact of buffered peptone water composition on the discrimination between Salmonella enterica and Escherichia coli by Raman spectroscopy.

Authors:  A Assaf; E Grangé; C B Y Cordella; D N Rutledge; M Lees; A Lahmar; G Thouand
Journal:  Anal Bioanal Chem       Date:  2020-04-04       Impact factor: 4.142

6.  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

7.  Isolation of bacteria from artificial bronchoalveolar lavage fluid using density gradient centrifugation and their accessibility by Raman spectroscopy.

Authors:  Christina Wichmann; Petra Rösch; Jürgen Popp
Journal:  Anal Bioanal Chem       Date:  2021-07-02       Impact factor: 4.142

  7 in total

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