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Using reflectance spectroscopy to predict beef tenderness.

M B Bowling1, D J Vote, K E Belk

  • 1Center for Meat Safety and Quality, Department of Animal Sciences, Colorado State University, Fort Collins, CO 80523-1171, USA.

Meat Science
|April 27, 2010
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Summary
This summary is machine-generated.

Near-infrared and visible light reflectance measurements can predict beef tenderness (Warner-Bratzler shear force). Combining both spectral regions did not improve prediction accuracy, indicating both are effective for assessing meat quality.

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Area of Science:

  • Food Science
  • Spectroscopy
  • Meat Science

Background:

  • Beef tenderness is a critical quality attribute for consumers.
  • Predictive methods for tenderness are valuable for the beef industry.
  • Spectroscopic analysis offers a non-destructive approach to assess meat quality.

Purpose of the Study:

  • To evaluate the additivity of near-infrared (NIR) and visible (VIS) reflectance spectra for predicting beef Warner-Bratzler shear force (WBSF).
  • To determine if combining NIR and VIS spectral data enhances tenderness prediction accuracy.
  • To assess the individual and combined predictive capabilities of VIS and NIR reflectance for beef tenderness.

Main Methods:

  • Collected 87 beef strip loins from heifer carcasses with specific marbling scores.
  • Acquired spectroscopic reflectance measurements using a Hunter-Lab UltraScan at ~50h postmortem.
  • Aged loins for 14 days, cooked to 70°C, and measured WBSF values.
  • Simulated broad-band wavelength filters to analyze spectral additivity and predictive power.

Main Results:

  • NIR reflectance measurements showed correlation with WBSF values.
  • Adding NIR spectral data to VIS spectral data did not significantly improve WBSF prediction (R² values were similar).
  • Both VIS and NIR spectral regions independently provide acceptable methods for tenderness prediction.

Conclusions:

  • Reflectance measurements in both visible and near-infrared regions are effective for predicting beef tenderness (WBSF).
  • The predictive ability for WBSF is not enhanced by combining visible and near-infrared spectral data.
  • Both spectral regions independently offer viable, non-destructive methods for assessing beef tenderness.