Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy and Artificial Neural Networks Applied to DifferentiateEscherichia colipapG+/papG-Strains

摘要

Fimbriae are an important pathogenic factor ofEscherichia coliduring development of urinary tract infections. Here, we describe a new method for identification ofEscherichia colipapG+frompapG-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 discriminateE. colipapG+frompapG-strains with accuracy of 99%.