Attenuated total reflectance fourier transform infrared spectroscopy and artificial neural networks applied to differentiate Escherichia coli papG ~+/ papG~- strains

摘要

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%.