A Novel Method for Bacterial UTI Diagnosis Using Raman Spectroscopy

Abstract EN

The current state of the art on bacterial classification using Raman and Surface Enhanced Raman Spectroscopy (SERS) for the purpose of developing a rapid and more accurate method for urinary tract infection (UTI) diagnosis is presented.

SERS, an enhanced version of Raman offering much increased sensitivity, provides complex biochemical information which, in conjunction with advanced analysis and classification techniques, can become a valuable diagnostic tool.

The variety of metal substrates used for SERS, including silver and gold colloids, as well as nanostructured metal surfaces, is reviewed.

The challenges in preprocessing noisy and complicated spectra and the various methods used for feature creation as well as a novel method using spectral band ratios are described.

The various unsupervised and supervised classification methods commonly used for SERS spectra of bacteria are evaluated.

Current research on transforming SERS into a valuable clinical tool for the diagnosis of UTIs is presented.

Specifically, the classification of bacterial spectra (a) as positive or negative for an infection, (b) as belonging to a particular species of bacteria, and (c) as sensitive or resistant to an antibiotic are described.

This work can lead to the development of novel technology with extremely important benefits for public health.