Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy and Artificial Neural Networks Applied to Differentiate Escherichia coli papG+/papG- Strains
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). W...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Journal of Spectroscopy |
| Online Access: | http://dx.doi.org/10.1155/2013/538686 |
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| _version_ | 1832545466755055616 |
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| author | Łukasz Lechowicz Wioletta Adamus-Białek Wiesław Kaca |
| author_facet | Łukasz Lechowicz Wioletta Adamus-Białek Wiesław Kaca |
| author_sort | Łukasz Lechowicz |
| collection | DOAJ |
| description | 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%. |
| format | Article |
| id | doaj-art-c1650d51f124422da75d96779ac4f9ea |
| institution | Kabale University |
| issn | 2314-4920 2314-4939 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Spectroscopy |
| spelling | doaj-art-c1650d51f124422da75d96779ac4f9ea2025-02-03T07:25:50ZengWileyJournal of Spectroscopy2314-49202314-49392013-01-01201310.1155/2013/538686538686Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy and Artificial Neural Networks Applied to Differentiate Escherichia coli papG+/papG- StrainsŁukasz Lechowicz0Wioletta Adamus-Białek1Wiesław Kaca2Department of Microbiology, Jan Kochanowski University in Kielce, Swietokrzyska Street, 25-406 Kielce, PolandChair of Environmental Protection and Modeling, Jan Kochanowski University in Kielce, Swietokrzyska Street, 25-406 Kielce, PolandDepartment of Microbiology, Jan Kochanowski University in Kielce, Swietokrzyska Street, 25-406 Kielce, PolandFimbriae 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%.http://dx.doi.org/10.1155/2013/538686 |
| spellingShingle | Łukasz Lechowicz Wioletta Adamus-Białek Wiesław Kaca Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy and Artificial Neural Networks Applied to Differentiate Escherichia coli papG+/papG- Strains Journal of Spectroscopy |
| title | Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy and Artificial Neural Networks Applied to Differentiate Escherichia coli papG+/papG- Strains |
| title_full | Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy and Artificial Neural Networks Applied to Differentiate Escherichia coli papG+/papG- Strains |
| title_fullStr | Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy and Artificial Neural Networks Applied to Differentiate Escherichia coli papG+/papG- Strains |
| title_full_unstemmed | Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy and Artificial Neural Networks Applied to Differentiate Escherichia coli papG+/papG- Strains |
| title_short | Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy and Artificial Neural Networks Applied to Differentiate Escherichia coli papG+/papG- Strains |
| title_sort | attenuated total reflectance fourier transform infrared spectroscopy and artificial neural networks applied to differentiate escherichia coli papg papg strains |
| url | http://dx.doi.org/10.1155/2013/538686 |
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