Discrimination of urinary tract infection pathogens by means of their growth profiles using surface enhanced raman scattering

Ertug Avci, Nur Selin Kaya, Gizem Ucankus, Mustafa Culha

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

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 demon-strated. 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.

Original languageEnglish (US)
Pages (from-to)8233-8241
Number of pages9
JournalAnalytical and bioanalytical chemistry
Volume407
Issue number27
DOIs
StatePublished - Nov 2015
Externally publishedYes

Keywords

  • Bacteria
  • Growth phase
  • Principal component analysis
  • Surface-enhanced Raman scattering
  • Urinary tract infection

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry

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