Rapid detection of food- and waterborne bacteria using surface-enhanced Raman spectroscopy coupled with silver nanosubstrates

Appl Microbiol Biotechnol. 2011 Dec;92(5):1053-61. doi: 10.1007/s00253-011-3634-3. Epub 2011 Oct 18.

Abstract

Development of rapid and sensitive methods to detect pathogens is important to food and water safety. This study aimed to detect and discriminate important food- and waterborne bacteria (i.e., Escherichia coli O157:H7, Staphylococcus epidermidis, Listeria monocytogenes, and Enterococcus faecelis) by surface-enhanced Raman spectroscopy (SERS) coupled with intracellular nanosilver as SERS substrates. An in vivo molecular probing using intracellular nanosilver for the preparation of bacterial samples was established and assessed. Satisfactory SERS performance and characteristic SERS spectra were obtained from different bacterial samples. Distinctive differences were observed in SERS spectral data, specifically in the Raman shift region of 500-1,800 cm(-1), and between bacterial samples at the species and strain levels. The detection limit of SERS coupled with in vivo molecular probing using silver nanosubstrates could reach the level of single cells. Experiments with a mixture of E. coli O157:H7 and S. epidermidis for SERS measurement demonstrate that SERS could be used for classification of mixed bacterial samples. Transmission electron microscopy was used to characterize changes of morphology and cellular composition of bacterial cells after treatment of intracellular nanosilver. The results indicate that SERS coupled with intracellular silver nanosubstrates is a promising method for detection and characterization of food- and waterborne pathogenic and non-pathogenic bacterial samples.

Publication types

  • Evaluation Study
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Bacteria / chemistry*
  • Bacteria / classification
  • Bacteria / isolation & purification*
  • Food Microbiology*
  • Silver / chemistry
  • Spectrum Analysis, Raman / instrumentation
  • Spectrum Analysis, Raman / methods*
  • Water Microbiology*

Substances

  • Silver