TY - JOUR U1 - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed) A1 - Klein, Daniel A1 - Breuch, René A1 - Reinmüller, Jessica A1 - Engelhard, Carsten A1 - Kaul, Peter T1 - Discrimination of Stressed and Non-Stressed Food-Related Bacteria Using Raman-Microspectroscopy JF - Foods N2 - As the identification of microorganisms becomes more significant in industry, so does the utilization of microspectroscopy and the development of effective chemometric models for data analysis and classification. Since only microorganisms cultivated under laboratory conditions can be identified, but they are exposed to a variety of stress factors, such as temperature differences, there is a demand for a method that can take these stress factors and the associated reactions of the bacteria into account. Therefore, bacterial stress reactions to lifetime conditions (regular treatment, 25 °C, HCl, 2-propanol, NaOH) and sampling conditions (cold sampling, desiccation, heat drying) were induced to explore the effects on Raman spectra in order to improve the chemometric models. As a result, in this study nine food-relevant bacteria were exposed to seven stress conditions in addition to routine cultivation as a control. Spectral alterations in lipids, polysaccharides, nucleic acids, and proteins were observed when compared to normal growth circumstances without stresses. Regardless of the involvement of several stress factors and storage times, a model for differentiating the analyzed microorganisms from genus down to strain level was developed. Classification of the independent training dataset at genus and species level for Escherichia coli and at strain level for the other food relevant microorganisms showed a classification rate of 97.6%. KW - discriminant analysis KW - stress response KW - bacteria KW - classification KW - Raman-microspectroscopy UN - https://nbn-resolving.org/urn:nbn:de:hbz:1044-opus-62553 SN - 2304-8158 SS - 2304-8158 U6 - https://doi.org/10.3390/foods11101506 DO - https://doi.org/10.3390/foods11101506 PM - 35627076 VL - 11 IS - 10 SP - 12 S1 - 12 PB - MDPI CY - Basel ER -