Predicting beef tenderness using near-infrared spectroscopy

Subbiah Jeyamkondan; Glenn A. Kranzler; Brad J. Morgan; Sarah Rust

doi:10.1117/12.516185

30 March 2004 Predicting beef tenderness using near-infrared spectroscopy

Subbiah Jeyamkondan; Glenn A. Kranzler; Brad J. Morgan; Sarah Rust

Author Affiliations +

Proceedings Volume 5271, Monitoring Food Safety, Agriculture, and Plant Health; (2004) https://doi.org/10.1117/12.516185
Event: Optical Technologies for Industrial, Environmental, and Biological Sensing, 2003, Providence, RI, United States

Abstract

A near-infrared spectral reflectance system was developed and tested online to predict 14-day aged, cooked beef tenderness. A contact probe with a built-in tungsten-halogen light source supplied broadband light to the ribeye surface. Fiberoptics in the probe transmitted reflected light to a spectrometer with a spectral range of 400-2500 nm. In the first phase, steak samples (n=292) were brought from packing plants to the lab and scanned with the spectrometer. After scanning, samples were vacuum-packaged and aged for 14 days. They were then cooked in an impingement oven to an internal temperature of 70°C. Slice-shear force values were recorded for tenderness reference. In phase two, the spectrometer was modified for packing plant conditions. Spectral scans were obtained on-line on ribbed carcasses (n=276). A partial least square regression model was developed to predict tenderness scores from spectral reflectance. In phase three, the developed model was validated by scanning carcasses (n=200) on-line. The predicted shear-force values and samples were sent to the U.S. Meat Animal Research Center for third-party validation. At up to 70% certification levels, the system was able to successfully sort tough from tender carcasses.

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Subbiah Jeyamkondan, Subbiah Jeyamkondan, Glenn A. Kranzler, Glenn A. Kranzler, Brad J. Morgan, Brad J. Morgan, Sarah Rust, Sarah Rust, } "Predicting beef tenderness using near-infrared spectroscopy", Proc. SPIE 5271, Monitoring Food Safety, Agriculture, and Plant Health, (30 March 2004); doi: 10.1117/12.516185; https://doi.org/10.1117/12.516185

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