Nuclear Science and Techniques

《核技术》(英文版) ISSN 1001-8042 CN 31-1559/TL     2019 Impact factor 1.556

Nuclear Science and Techniques ›› 2017, Vol. 28 ›› Issue (4): 49 doi: 10.1007/s41365-017-0209-8


Discrimination of foodborne pathogenic bacteria using synchrotron FTIR microspectroscopy

Ya-Di Wang1,2 • Xue-Ling Li3,4 • Zhi-Xiao Liu1,2 • Xing-Xing Zhang1 • Jun Hu1 • Jun-Hong Lu1   

  1. 1 Division of Physical Biology and CAS Key Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences (CAS), Shanghai 201800, China
    2 University of Chinese Academy of Sciences, Beijing 100049, China
    3 Shanghai Center for Bioinformation Technology, Shanghai Academy of Science and Technology, Shanghai 201203, China
    4 Center for Clinical and Translational Medicine, Shanghai Industrial Technology Institute, Shanghai 201203, China
  • Contact: Xue-Ling Li Jun-Hong Lv;
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Ya-Di Wang, Xue-Ling Li, Zhi-Xiao Liu, Xing-Xing Zhang, Jun Hu, Jun-Hong Lv. Discrimination of foodborne pathogenic bacteria using synchrotron FTIR microspectroscopy.Nuclear Science and Techniques, 2017, 28(4): 49     doi: 10.1007/s41365-017-0209-8


Traditional Fourier transform infrared (FTIR) spectroscopy has been recognized as a valuable method to characterize and classify kinds of microorganisms. In this study, combined with multivariate statistical analysis, synchrotron radiation-based FTIR (SR-FTIR) microspectroscopy was applied to identify and discriminate ten foodborne bacterial strains. Our results show that the whole spectra (3000–900 cm-1) and three subdivided spectral regions (3000–2800, 1800–1500 and 1200–900 cm-1, representing lipids, proteins and polysaccharides, respectively) can be used to type bacteria. Either the whole spectra or the three subdivided spectra are good for discriminating the bacteria at levels of species and subspecies, but the whole spectra should be given preference at the genus level. The findings demonstrate that SR-FTIR microspectroscopy is a powerful tool to identify and classify foodborne pathogenic bacteria at the genus, species and subspecies level.

Key words: Synchrotron FTIR microspectroscopy, Foodborne pathogens, Bacterial discrimination, Subdivided spectral regions, Multivariate statistical analysis