Abstract
The advantages of Fourier transform infrared (FT-IR) spectroscopy and the particular applications in food microbiology are now well recognized, and the number of research groups working with this method is steadily expanding. The capacity of FT-IR spectroscopy to taxonomically characterize bacteria is well established since a large number of bacterial genera and species have been successfully identified using it. The infrared (IR) spectrum of microbial biomass represents a reflection of the overall chemical composition, which is valuable in taxonomy studies. FT-IR spectroscopy can afford information additional to phenotypic and genotypic data which may help to establish a more robust taxonomic classification. There is evidence that some compounds and structures (mainly the cell membrane and cell wall) appear to have a stronger influence on the IR spectrum. For identification and typing, good identification results depend on the quality and size of the databases as well as on an adequate mathematical procedure. Standardization of conditions is essential to obtain good-quality IR spectra in order to build up reliable databases to be able to assign unknowns and to detect outliers. Foodborne bacteria constantly face fluctuations in environmental conditions which result in (sub)lethal stress exposures. Consequently, they have evolved adaptive networks to cope with the challenges of a changing environment and to survive stress conditions. A better understanding of the mechanisms of bacterial inactivation by food processing technologies and the molecular changes occurring in the cell as part of the bacterial stress response would therefore lead to the optimization of current food processing strategies. The recent availability of numerous genome sequences has catalyzed a burst of genomics-driven fundamental research in the ecology, physiology, and virulence of foodborne pathogens. In addition, the development of novel methods has led to an increasing number of transcriptomics and proteomics studies from which changes in the chemical composition of cells in response to stress conditions and functions of different genes and macromolecules have been predicted. However, only some of these predictions have actually been verified directly. This review shows that FT-IR spectroscopy, which is an adequate tool to understand how environmental conditions affect the whole cell, could be successfully combined with novel transcriptomics and statistical methods in order to find a new hypothesis for the survival mechanisms of foodborne pathogenic bacteria (Table 5.1).
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Alvarez-Ordóñez, A., Prieto, M. (2012). Conclusions and Future Prospects. In: Fourier Transform Infrared Spectroscopy in Food Microbiology. SpringerBriefs in Food, Health, and Nutrition. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-3813-7_5
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