Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy and Artificial Neural Networks Applied to Differentiate Escherichia coli papG+papG- Strains
Joint Authors
Kaca, Wiesław
Adamus-Białek, Wioletta
Lechowicz, Łukasz
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-3, 3 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-03
Country of Publication
Egypt
No. of Pages
3
Main Subjects
Abstract EN
Fimbriae are an important pathogenic factor of Escherichia coli during development of urinary tract infections.
Here, we describe a new method for identification of Escherichia coli papG+ from papG- strains using the attenuated total reflectance Fourier transform infrared Spectroscopy (ATR FT-IR).
We applied artificial neural networks to the analysis of the ATR FT-IR results.
These methods allowed to discriminate E.
coli papG+ from papG- strains with accuracy of 99%.
American Psychological Association (APA)
Lechowicz, Łukasz& Adamus-Białek, Wioletta& Kaca, Wiesław. 2012. Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy and Artificial Neural Networks Applied to Differentiate Escherichia coli papG+papG- Strains. Journal of Spectroscopy،Vol. 2013, no. 2013, pp.1-3.
https://search.emarefa.net/detail/BIM-479733
Modern Language Association (MLA)
Lechowicz, Łukasz…[et al.]. Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy and Artificial Neural Networks Applied to Differentiate Escherichia coli papG+papG- Strains. Journal of Spectroscopy No. 2013 (2013), pp.1-3.
https://search.emarefa.net/detail/BIM-479733
American Medical Association (AMA)
Lechowicz, Łukasz& Adamus-Białek, Wioletta& Kaca, Wiesław. Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy and Artificial Neural Networks Applied to Differentiate Escherichia coli papG+papG- Strains. Journal of Spectroscopy. 2012. Vol. 2013, no. 2013, pp.1-3.
https://search.emarefa.net/detail/BIM-479733
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-479733