Surface-enhanced infrared absorption spectroscopy for microorganisms discrimination on silver nanoparticle substrates

Hulya Yilmaz, Shyam S. Mohapatra, Mustafa Culha

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Extracting molecular level label-free information from complex biological processes for a range of purposes including disease diagnosis and microbial identification and discrimination is always a challenging task. This is mostly due to lack of a technique providing rich molecular information with a high spatial and temporal resolution properties. Two surface-enhanced vibrational spectroscopic (SEVS) techniques, surface-enhanced Raman scattering (SERS) and surface-enhanced infrared absorption spectroscopy (SEIRAS), are recently attracting considerable attention to study biosystems at an interface since they can satisfy these requirements to a certain level by providing rich intrinsic molecular information from molecules and molecular systems in a close proximity of nanostructured noble metal surfaces. In this study, these two surface-enhanced vibrational spectroscopic techniques are comparatively evaluated for the discrimination and identification of Candida albicans (C. albicans), Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) by paying attention to the source of the observed spectral pattern. The citrate-reduced colloidal silver nanoparticles (AgNPs) were used as substrates. The results show that the SEIRAS provides very rich molecular information about the biomolecular species adsorbed onto AgNPs similar to the case of SERS. The discrimination power of SEIRAS is much improved compared to FTIR demonstrated by PCA analysis. This study suggests that SEIRAS can be a potential technique for microbial analysis.

Original languageEnglish (US)
Article number120699
Pages (from-to)120699
JournalSpectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy
Volume268
DOIs
StatePublished - Mar 5 2022
Externally publishedYes

Keywords

  • Escherichia coli
  • Metal Nanoparticles
  • Silver
  • Spectrum Analysis, Raman
  • Staphylococcus aureus

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