Prediction of the intramuscular fat and protein content of freeze-dried ground meat from cattle and sheep using near-infrared spectroscopy (NIRS)

This study assessed the ability of near-infrared spectroscopy to predict intramuscular fat (IMF) and protein content of freeze-dried ground beef and sheep meat determined using the modified Soxhlet extraction and Dumas combustion, and ascertain if robust calibration models could be developed for both assays using the combined spectral data from both species. Samples were sourced from sheep and cattle slaughtered for a variety of experiments, which covered a range in age, diet fed and carcase cut. All samples were scanned using a benchtop NIRS instrument to develop calibration models, a subset of which was used for later validation. Intramuscular fat and protein content of samples ranged from 5.1 to 32.8 and 63.4 to 89.8, respectively, with combined species of the R-2 values of 98.4 and 96.5 (RMSE 0.74 and 0.76) for IMF and protein respectively. Additionally, animal age and carcase cut were found to have no significant impact on the precision of prediction models. Results from our study showed that individual species as well as combined calibration models can be successfully developed for predicting IMF and protein content of freeze-dried ground beef and sheep meat.

Automated summary

This study assessed the ability of near-infrared spectroscopy to predict intramuscular fat and protein content in freeze-dried ground beef and sheep meat, and found that individual species as well as combined calibration models can be successfully developed for this prediction task.