Discrimination of urinary tract infection pathogens by means of their growth profiles using surface enhanced Raman scattering
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Urinary tract infection (UTI) is a widespread infection and affects millions of people around the globe. The gold standard for identification of microorganisms causing infection is urine culture. However, current methods require at least 24 h for the results. In clinical settings, identification and discrimination of bacteria with less time-consuming and cheaper methods are highly desired. In recent years, the power of surface-enhanced Raman scattering (SERS) for fast identification of bacteria and biomolecules has been demonstrated. In this study, we show discrimination of urinary tract infection causative pathogens within 1 h of incubation using principal component analysis (PCA) of SERS spectra of seven different UTI causative bacterial species. In addition, we showed differentiation of them at their different growth phases. We also analyzed origins of bacterial SERS spectra and demonstrated the highly dynamic structure of the bacteria cell wall during their growth.
KeywordsUrinary tract infection Bacteria Growth phase Surface-enhanced Raman scattering Principal component analysis
The authors gratefully acknowledge the financial support of Yeditepe University and Technological Research Council of Turkey (TUBITAK) for this study. The authors also acknowledge the contribution Associate Prof. Çağatay Acuner and Prof. Dr. Gülden Yılmaz of Yeditepe University Medical School for providing some of the bacteria species.
Conflict of interest
The authors declare that there is no conflict of interest.
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