Paper
11 February 2011 Classification of bacterial samples as negative or positive for a UTI and antibiogram using surface enhanced Raman spectroscopy
Evdokia Kastanos, Katerina Hadjigeorgiou, Alexandros Kyriakides, Costas Pitris
Author Affiliations +
Proceedings Volume 7911, Plasmonics in Biology and Medicine VIII; 791107 (2011) https://doi.org/10.1117/12.874425
Event: SPIE BiOS, 2011, San Francisco, California, United States
Abstract
Urinary tract infection (UTI) diagnosis requires an overnight culture to identify a sample as positive or negative for a UTI. Additional cultures are required to identify the pathogen responsible for the infection and to test its sensitivity to antibiotics. A rise in ineffective treatments, chronic infections, rising health care costs and antibiotic resistance are some of the consequences of this prolonged waiting period of UTI diagnosis. In this work, Surface Enhanced Raman Spectroscopy (SERS) is used for classifying bacterial samples as positive or negative for UTI. SERS spectra of serial dilutions of E.coli bacteria, isolated from a urine culture, were classified as positive (105-108 cells/ml) or negative (103-104 cells/ml) for UTI after mixing samples with gold nanoparticles. A leave-one-out cross validation was performed using the first two principal components resulting in the correct classification of 82% of all samples. Sensitivity of classification was 88% and specificity was 67%. Antibiotic sensitivity testing was also done using SERS spectra of various species of gram negative bacteria collected 4 hours after exposure to antibiotics. Spectral analysis revealed clear separation between the spectra of samples exposed to ciprofloxacin (sensitive) and amoxicillin (resistant). This study can become the basis for identifying urine samples as positive or negative for a UTI and determining their antibiogram without requiring an overnight culture.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Evdokia Kastanos, Katerina Hadjigeorgiou, Alexandros Kyriakides, and Costas Pitris "Classification of bacterial samples as negative or positive for a UTI and antibiogram using surface enhanced Raman spectroscopy", Proc. SPIE 7911, Plasmonics in Biology and Medicine VIII, 791107 (11 February 2011); https://doi.org/10.1117/12.874425
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Cited by 5 scholarly publications.
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KEYWORDS
Bacteria

Surface enhanced Raman spectroscopy

Raman spectroscopy

Statistical analysis

Gold

Nanoparticles

Medicine

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