Differentiation and detection of microorganisms using fourier transform infrared photoacoustic spectroscopy

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.

[1]  J F McClelland,et al.  Transient infrared spectroscopy for detection of toxigenic fungi in corn: potential for on-line evaluation. , 1999, Journal of agricultural and food chemistry.

[2]  Wilfred H. Nelson,et al.  Modern Techniques for Rapid Microbiological Analysis , 1991 .

[3]  D. Naumann.  Some ultrastructural information on intact, living bacterial cells and related cell-wall fragments as given by FTIR , 1984 .

[4]  C. James,et al.  Measurement of protein biomass by Fourier transform infrared‐photoacoustic spectroscopy , 1990, Biotechnology and applied biochemistry.

[5]  R. Schudy,et al.  Identification of Fourier transform infrared photoacoustic spectral features for detection of Aspergillus flavus infection in corn. , 1997, International journal of food microbiology.

[6]  Thomas Udelhoven,et al.  Development of a Hierarchical Classification System with Artificial Neural Networks and FT-IR Spectra for the Identification of Bacteria , 2000 .

[7]  Harald Labischinski,et al.  Microbiological characterizations by FT-IR spectroscopy , 1991, Nature.

[8]  Henry H. Mantsch,et al.  Infrared Spectroscopy: New Tool in Medicine , 1998 .

[9]  S. Gordon,et al.  Determination of solid-state fungal growth by Fourier transform infrared-photoacoustic spectroscopy , 1988 .

[10]  D. Naumann,et al.  Classification and identification of bacteria by Fourier-transform infrared spectroscopy. , 1991, Journal of general microbiology.

[11]  J. Irudayaraj,et al.  Analysis of Cheese Using Step-Scan Fourier Transform Infrared Photoacoustic Spectroscopy , 2000 .

[12]  R. Schudy,et al.  Neural network pattern recognition of photoacoustic FTIR spectra and knowledge-based techniques for detection of mycotoxigenic fungi in food grains. , 1998, Journal of Food Protection.

[13]  Harald Labischinski,et al.  Elaboration of a procedure for identification of bacteria using Fourier-Transform IR spectral libraries: a stepwise correlation approach , 1991 .

[14]  R. Silverstein,et al.  Spectrometric identification of organic compounds , 2013 .

[15]  Harald Labischinski,et al.  The rapid differentiation and identification of pathogenic bacteria using Fourier transform infrared spectroscopic and multivariate statistical analysis , 1988 .

[16]  P. Griffiths,et al.  Photoacoustics and Photoacoustic Spectroscopy , 1981 .

[17]  D. Naumann,et al.  In vivo study of the state of order of the membranes of Gram‐negative bacteria by Fourier‐transform infrared spectroscopy (FT‐IR) , 1991, FEBS letters.

[18]  Dieter Naumann,et al.  FT-IR spectroscopy and FT-Raman spectroscopy are powerful analytical tools for the non-invasive characterization of intact microbial cells , 1995 .

[19]  Roger W. Jones,et al.  Detection of fungal contamination in corn : potential of FTIR-PAS and -DRS , 1992 .