Differentiation and detection of microorganisms using fourier transform infrared photoacoustic spectroscopy

Joseph Irudayaraj, Hong Yang, Sivakesava Sakhamuri

Research output: Contribution to journalArticlepeer-review

Abstract

Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS) was used to differentiate and identify microorganisms on a food (apple) surface. Microorganisms considered include bacteria (Lactobacillus casei, Bacillus cereus, and Escherichia coli), yeast (Saccharomyces cerevisiae), and fungi (Aspergillus niger and Fusarium verticilliodes). Discriminant analysis was used to differentiate apples contaminated with the different microorganisms from uncontaminated apple. Mahalanobis distances were calculated to quantify the differences. The higher the value of the Mahalanobis distance metric between different microorganisms, the greater is their difference. Additionally, pathogenic (O157:H7) E. coli was successfully differentiated from non-pathogenic strains. Results demonstrate that FTIR-PAS spectroscopy has the potential to become a non-destructive analysis tool in food safety related research.

Original languageEnglish (US)
Pages (from-to)181-188
Number of pages8
JournalJournal of Molecular Structure
Volume606
Issue number1-3
DOIs
StatePublished - Mar 27 2002
Externally publishedYes

Keywords

  • Apple surface
  • Chemometrics
  • Fourier transform infrared photoacoustic spectroscopy
  • Microorganisms
  • Pathogen

ASJC Scopus subject areas

  • Analytical Chemistry
  • Spectroscopy
  • Organic Chemistry
  • Inorganic Chemistry

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