Share Email Print

Proceedings Paper

Surface enhanced Raman spectroscopy for urinary tract infection diagnosis and antibiogram
Author(s): Evdokia Kastanos; Katerina Hadjigeorgiou; Alexandros Kyriakides; Constantinos Pitris
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Urinary tract infection diagnosis and antibiogram require a minimum of 48 hours using standard laboratory practice. This long waiting period contributes to an increase in recurrent infections, rising health care costs, and a growing number of bacterial strains developing resistance to antibiotics. In this work, Surface Enhanced Raman Spectroscopy (SERS) was used as a novel method for classifying bacteria and determining their antibiogram. Five species of bacteria were classified with > 90% accuracy using their SERS spectra and a classification algorithm involving novel feature extraction and discriminant analysis. Antibiotic resistance or sensitivity was determined after just a two-hour exposure of bacteria to ciprofloxacin (sensitive) and amoxicillin (resistant) and analysis of their SERS spectra. These results can become the basis for the development of a novel method that would provide same day diagnosis and selection of the most appropriate antibiotic for most effective treatment of a urinary tract infection.

Paper Details

Date Published: 11 February 2010
PDF: 7 pages
Proc. SPIE 7560, Biomedical Vibrational Spectroscopy IV: Advances in Research and Industry, 75600A (11 February 2010); doi: 10.1117/12.841601
Show Author Affiliations
Evdokia Kastanos, Univ. of Nicosia (Cyprus)
Katerina Hadjigeorgiou, Univ. of Cyprus (Cyprus)
Alexandros Kyriakides, Univ. of Cyprus (Cyprus)
Constantinos Pitris, Univ. of Cyprus (Cyprus)

Published in SPIE Proceedings Vol. 7560:
Biomedical Vibrational Spectroscopy IV: Advances in Research and Industry
Anita Mahadevan-Jansen; Wolfgang Petrich, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?