Reproducible surface-enhanced Raman scattering spectra of bacteria on aggregated silver nanoparticles

Appl Spectrosc. 2007 May;61(5):479-85. doi: 10.1366/000370207780807731.

Abstract

Surface-enhanced Raman scattering (SERS) is proven to be a powerful technique for rapid identification and discrimination of microorganisms. However, due to the heterogeneous nature of the samples, the acquisition of reproducible spectra hinders the further development of the technique. In this study, we demonstrate the influence of the experimental conditions on SERS spectra. Then, we report a simple sample preparation method coupled with a light microscope attached to a Raman spectrometer to find a proper spot on the sample to acquire reproducible SERS spectra. This method utilizes the excited surface plasmons of the aggregated silver nanoparticles to visualize the spots on the sample. The samples are prepared using the concentrated silver colloidal solutions. The collection time for one spectrum is 10 s and each spectrum is a very good representative of the other spectra acquired from the same sample. The nature of the surface charge of the silver nanoparticles influences the spectral features by determining the strength of the interactions between nanoparticles and bacteria and the aggregation properties of the nanoparticles. Although increasing the colloid concentration in the sample resulted in reproducible spectra from arbitrary points on the sample, a great variation from sample to sample prepared with the different colloidal solution concentrations is observed.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bacillus megaterium / isolation & purification*
  • Bacillus megaterium / physiology
  • Colony Count, Microbial / methods*
  • Escherichia coli / isolation & purification*
  • Escherichia coli / physiology
  • Nanoparticles / chemistry*
  • Nanoparticles / ultrastructure
  • Particle Size
  • Reproducibility of Results
  • Scattering, Radiation
  • Sensitivity and Specificity
  • Silver / chemistry*
  • Spectrum Analysis, Raman / methods*

Substances

  • Silver