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Proceedings Paper

Potential applications of near infrared auto-fluorescence spectral polarized imaging for assessment of food quality
Author(s): Kenneth J. Zhou; Jun Chen
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Paper Abstract

The current growing of food industry for low production costs and high efficiency needs for maintenance of high-quality standards and assurance of food safety while avoiding liability issues. Quality and safety of food depend on physical (texture, color, tenderness etc.), chemical (fat content, moisture, protein content, pH, etc.), and biological (total bacterial count etc.) features. There is a need for a rapid (less than a few minutes) and accurate detection system in order to optimize quality and assure safety of food. However, the fluorescence ranges for known fluorophores are limited to ultraviolet emission bands, which are not in the tissue near infrared (NIR) “optical window”. Biological tissues excited by far-red or NIR light would exhibit strong emission in spectral range of 650-1,100 nm although no characteristic peaks show the emission from which known fluorophores. The characteristics of the auto-fluorescence emission of different types of tissues were found to be different between different tissue components such as fat, high quality muscle food. In this paper, NIR auto-fluorescence emission from different types of muscle food and fat was measured. The differences of fluorescence intensities of the different types of muscle food and fat emissions were observed. These can be explained by the change of the microscopic structure of physical, chemical, and biological features in meat. The difference of emission intensities of fat and lean meat tissues was applied to monitor food quality and safety using spectral polarized imaging, which can be detect deep depth fat under the muscle food up to several centimeter.

Paper Details

Date Published: 7 March 2016
PDF: 7 pages
Proc. SPIE 9699, Optics and Biophotonics in Low-Resource Settings II, 96990Y (7 March 2016); doi: 10.1117/12.2219947
Show Author Affiliations
Kenneth J. Zhou, Stony Brook Univ. (United States)
Jun Chen, Tianjin Medical Univ. General Hospital (China)


Published in SPIE Proceedings Vol. 9699:
Optics and Biophotonics in Low-Resource Settings II
David Levitz; Aydogan Ozcan; David Erickson, Editor(s)

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