Rapid Differentiation and Identification of Shigella sonnei and Escherichia coli O157: H7 by Fourier Transform Infrared Spectroscopy and Multivariate Statistical Analysis

Li Jun Yang; Jing Wang; Zhao Jie Li; Xiao Hua Song; Yu Min Liu; Qiao Ru Hu

doi:10.4028/www.scientific.net/AMR.926-930.1116

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Rapid Differentiation and Identification of...

Rapid Differentiation and Identification of Shigella sonnei and Escherichia coli O157: H7 by Fourier Transform Infrared Spectroscopy and Multivariate Statistical Analysis

Abstract:

Fourier transform infrared spectroscopy (FTIR) combined with multivariate statistical analysis was applied to differentiate and identify Shigella sonnei and Escherichia coli O157: H7. FTIR absorption spectra from 4000-600 cm^-1 were collected from sampling 10 μL of bacterial suspention. The spectra between 1800 and 900 cm^-1 highlighted the most distinctive variations and were the most useful for characterizing the selected microorganisms. Spectra of the two bacteria were noticeably segregated with distinct clustering by principal component analysis (PCA). Further more, another cluster model of hierarchical cluster analysis (HCA) was established and could also gave a good separation between the two bacteria. These results demonstrate that FTIR technology has considerable potential as a rapid, accurate and simple method for differentiating and identifying bacteria.

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Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

1116-1119

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.1116

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Online since:

May 2014

Authors:

Li Jun Yang, Jing Wang, Zhao Jie Li*, Xiao Hua Song, Yu Min Liu, Qiao Ru Hu

Keywords:

Differentiation, E. Coli O157: H7, FTIR, Identification, Multivariate Statistical Analysis, S. Sonnei

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* - Corresponding Author

References

[1] L. Mariey, J.P. Signolle, C. Amiel, J. Travert, Discrimination, classification, identification of microorganisms using FTIR spectroscopy and chemometrics, Vib. Spectrosc. 26 (2001) 151-159.

DOI: 10.1016/s0924-2031(01)00113-8

Google Scholar

[2] D. Naumann, D. Helm, H. Labischinski, P. Giesbrecht, The characterization of microorganisms by Fourier transform infrared spectroscopy (FT-IR). InW.H. Nelson (Eds. ), Modern Techniques for Rapid Microbiological Analysis. VCH Publishers, New York, 1991b, pp.67-85.

Google Scholar

[3] D. Helm, H. Labischinski, G. Schallehn, D. Naumann, Classification and identification of bacteria by fourier transform infrared spectroscopy, J. Gen. Microbiol. 137 (1991) 69−79.

DOI: 10.1099/00221287-137-1-69

Google Scholar

[4] D. Naumann, D. Helm, H. Labischinski,. Microbiological characterizations by FT-IR spectroscopy, Nature. 351 (1991a) (6321) 81-82.

DOI: 10.1038/351081a0

Google Scholar