ARS | Publication request: Detection and characterization of foodborne pathogenic bacteria with hyperspectral microscope imaging

Submitted to: Agricultural Engineering International: CIGR Journal
Publication Type: Abstract Only
Publication Acceptance Date: March 20, 2012
Publication Date: July 12, 2012
Citation: Park, B., Sundaram, J., Hinton Jr, A., Yoon, S.C., Lawrence, K.C., Windham, W.R. 2012. Detection and characterization of foodborne pathogenic bacteria with hyperspectral microscope imaging. Agricultural Engineering International Conference. CIGR-AgEng2012 CD-ROM, No. C-0994.

Interpretive Summary: Rapid detection and identification of pathogenic microorganisms naturally occurring during food processing are important in developing intervention and verification strategies. In the poultry industry, contamination of poultry meat with foodborne pathogens (especially, Salmonella and Campylobacter) remains an important public health concern, both to the processors and regulatory agencies. The development of non-destructive advanced imaging technologies, such as hyperspectral microscope imaging, for evaluation of foodborne pathogens could enhance the presumptive-positive screening method by reducing labor and increasing detection speed. The objective of this research is to develop a hyperspectral microscopic imaging methods to characterize spectral signatures of foodborne bacteria. In particular, the acousto-optic tunable filter (AOTF)-based hyperspectral microscope imaging techniques for identifying foodborne pathogens using their optical/spectral properties in a single cell level were presented.

Technical Abstract: Rapid detection and identification of pathogenic microorganisms naturally occurring during food processing are important in developing intervention and verification strategies. In the poultry industry, contamination of poultry meat with foodborne pathogens (especially, Salmonella and Campylobacter) remains an important public health concern, both to the processors and regulatory agencies. The development of non-destructive advanced imaging technologies, such as hyperspectral microscope imaging, for evaluation of foodborne pathogens could enhance the presumptive-positive screening method by reducing labor and increasing detection speed. The objective of this research is to develop a hyperspectral microscopic imaging methods to characterize spectral signatures of foodborne bacteria. In particular, the acousto-optic tunable filter (AOTF)-based hyperspectral microscope imaging techniques for identifying foodborne pathogens using their optical/spectral properties in a single cell level were presented.