Paper
22 July 2019 Assessment of meat freshness and spoilage detection utilizing visible to near-infrared spectroscopy
Author Affiliations +
Abstract
Visible to near-infrared spectroscopy have been applied for non-invasive assessment of meat freshness. The reduction of oxymyoglobin absorbance associated with freshness drop is clearly seen in the visible range of spectra, as well as supplementary fat, water, and proteins contents variations are observed in the near-infrared range. A table-top spectrophotometer equipped with an integrating sphere was utilized for a shallow probing depth (80 μm) and covered 400-1700 nm spectral range. A fiber-optic linear array was coupled to a portable spectrophotometer (measurement range 400-1000 nm) for increasing the average probing depth up to 570 μm. The studied samples of meat experienced an immediate loss of superficial freshness, while kinetics of spoilage was detected after about 2.5 hours. The fiber-optic approach capable for sensing freshness and spoilage process shows promise for design of a compact, portable device for a variety of users at the meat supply chain.
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M. Peyvasteh, A. Popov, A. Bykov, and I. Meglinski "Assessment of meat freshness and spoilage detection utilizing visible to near-infrared spectroscopy", Proc. SPIE 11075, Novel Biophotonics Techniques and Applications V, 110751R (22 July 2019); https://doi.org/10.1117/12.2527194
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KEYWORDS
Visible radiation

Fiber optics

Absorbance

Integrating spheres

Monte Carlo methods

Near infrared spectroscopy

Spectrophotometry

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