Discrimination of foodborne pathogenic bacteria using synchrotron FTIR microspectroscopy

Ya-Di Wang; Xue-Ling Li; Zhi-Xiao Liu; Xing-Xing Zhang; Jun Hu; Jun-Hong Lü

doi:10.1007/s41365-017-0209-8

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Discrimination of foodborne pathogenic bacteria using synchrotron FTIR microspectroscopy

NUCLEAR PHYSICS AND INTERDISCIPLINARY RESEARCH | Updated：2021-02-23

- Discrimination of foodborne pathogenic bacteria using synchrotron FTIR microspectroscopy
- Nuclear Science and Techniques Vol. 28, Issue 4, Article number: 49(2017)
- Affiliations：
  
  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
- Author bio：
  
  Xue-Ling Li. E-mail address: xlli@scbit.org
  Jun-Hong Lü. E-mail address: lujunhong@sinap.ac.cn
- Funds：
- DOI：10.1007/s41365-017-0209-8
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Ya-Di Wang, Xue-Ling Li, Zhi-Xiao Liu, et al. Discrimination of foodborne pathogenic bacteria using synchrotron FTIR microspectroscopy. [J]. Nuclear Science and Techniques 28(4):49(2017)
DOI：

Ya-Di Wang, Xue-Ling Li, Zhi-Xiao Liu, et al. Discrimination of foodborne pathogenic bacteria using synchrotron FTIR microspectroscopy. [J]. Nuclear Science and Techniques 28(4):49(2017) DOI： 10.1007/s41365-017-0209-8.

摘要

Abstract

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) micro- spectroscopy was applied to identify and discriminate 10 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 is 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.

关键词

Keywords

Synchrotron FTIR microspectroscopyFoodborne pathogensBacterial discriminationSubdivided spectral regionsMultivariate statistical analysis

references

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