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Investigation and Rapid Discrimination of Food-Related Bacteria under Stress Treatments Using IR Microspectroscopy

  • Because the robust and rapid determination of spoilage microorganisms is becoming increasingly important in industry, the use of IR microspectroscopy, and the establishment of robust and versatile chemometric models for data processing and classification, is gaining importance. To further improve the chemometric models, bacterial stress responses were induced, to study the effect on the IR spectra and to improve the chemometric model. Thus, in this work, nine important food-relevant microorganisms were subjected to eight stress conditions, besides the regular culturing as a reference. Spectral changes compared to normal growth conditions without stressors were found in the spectral regions of 900–1500 cm−1 and 1500–1700 cm−1. These differences might stem from changes in the protein secondary structure, exopolymer production, and concentration of nucleic acids, lipids, and polysaccharides. As a result, a model for the discrimination of the studied microorganisms at the genus, species and strain level was established, with an accuracy of 96.6%. This was achieved despite the inclusion of various stress conditions and times after incubation of the bacteria. In addition, a model was developed for each individual microorganism, to separate each stress condition or regular treatment with 100% accuracy.

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Document Type:Article
Author:Daniel Klein, René Breuch, Jessica Reinmüller, Carsten Engelhard, Peter Kaul
Parent Title (English):Foods
Article Number:1850
Number of pages:12
Place of publication:Basel, Switzerland
Publishing Institution:Hochschule Bonn-Rhein-Sieg
Date of first publication:2021/08/11
Copyright:© 2021 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Funding Information:This research was funded by the German Research Foundation (DFG) as part of the research training group GRK 1564 ‘Imaging New Modalities’. Additionally, this work was supported and financed by the Safety and Security Research Institute as well as the Graduate Institute of the Bonn-Rhein-Sieg University of Applied Sciences.
Keyword:IR microspectroscopy; chemometrics; classification; discriminant analysis; food safety; food-related bacteria; stress response
Departments, institutes and facilities:Fachbereich Angewandte Naturwissenschaften
Institut für Sicherheitsforschung (ISF)
Dewey Decimal Classification (DDC):6 Technik, Medizin, angewandte Wissenschaften / 66 Chemische Verfahrenstechnik / 664 Lebensmitteltechnologie
Open access funding:Hochschule Bonn-Rhein-Sieg / Graduierteninstitut
Entry in this database:2021/08/11
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International