Surface enhanced Raman spectroscopy for urinary tract infection diagnosis and antibiogram

Evdokia Kastanos; Katerina Hadjigeorgiou; Alexandros Kyriakides; Constantinos Pitris

doi:10.1117/12.841601

11 February 2010 Surface enhanced Raman spectroscopy for urinary tract infection diagnosis and antibiogram

Evdokia Kastanos, Katerina Hadjigeorgiou, Alexandros Kyriakides, Constantinos Pitris

Proceedings Volume 7560, Biomedical Vibrational Spectroscopy IV: Advances in Research and Industry; 75600A (2010) https://doi.org/10.1117/12.841601
Event: SPIE BiOS, 2010, San Francisco, California, United States

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.

Citation Download Citation

Evdokia Kastanos, Katerina Hadjigeorgiou, Alexandros Kyriakides, and Constantinos Pitris "Surface enhanced Raman spectroscopy for urinary tract infection diagnosis and antibiogram", Proc. SPIE 7560, Biomedical Vibrational Spectroscopy IV: Advances in Research and Industry, 75600A (11 February 2010); https://doi.org/10.1117/12.841601

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