Hyperspectral fluorescence imaging coupled with multivariate image analysis techniques for contaminant screening of leafy greens

Colm D. Everard; Moon S. Kim; Hoyoung Lee

doi:10.1117/12.2051074

28 May 2014 Hyperspectral fluorescence imaging coupled with multivariate image analysis techniques for contaminant screening of leafy greens

Colm D. Everard, Moon S. Kim, Hoyoung Lee

Author Affiliations +

Proceedings Volume 9108, Sensing for Agriculture and Food Quality and Safety VI; 91080A (2014) https://doi.org/10.1117/12.2051074
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

The production of contaminant free fresh fruit and vegetables is needed to reduce foodborne illnesses and related costs. Leafy greens grown in the field can be susceptible to fecal matter contamination from uncontrolled livestock and wild animals entering the field. Pathogenic bacteria can be transferred via fecal matter and several outbreaks of E.coli O157:H7 have been associated with the consumption of leafy greens. This study examines the use of hyperspectral fluorescence imaging coupled with multivariate image analysis to detect fecal contamination on Spinach leaves (Spinacia oleracea). Hyperspectral fluorescence images from 464 to 800 nm were captured; ultraviolet excitation was supplied by two LED-based line light sources at 370 nm. Key wavelengths and algorithms useful for a contaminant screening optical imaging device were identified and developed, respectively. A non-invasive screening device has the potential to reduce the harmful consequences of foodborne illnesses.

Citation Download Citation

Colm D. Everard, Moon S. Kim, and Hoyoung Lee "Hyperspectral fluorescence imaging coupled with multivariate image analysis techniques for contaminant screening of leafy greens", Proc. SPIE 9108, Sensing for Agriculture and Food Quality and Safety VI, 91080A (28 May 2014); https://doi.org/10.1117/12.2051074

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