PREDICTING PROXIMATE COMPOSITION OF MUTTON BY FOURIER TRANSFORM-NEAR INFRARED SPECTROSCOPY
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Date
2023
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Abstract
A study was conducted to predict the proximate composition viz., moisture, crude protein, crude
fat and total ash contents of mutton by Fourier transform-near infrared (FT-NIR) spectroscopy. A total
of 200 longissimus dorsi muscle samples of mutton were collected from the retail meat outlets in and
around Chennai in of September, 2020. The correlation coefficient ((R2) between true (conventional)
and prediction (FT-NIR) values for moisture, crude protein, crude fat and total ash in mutton were
0.98, 0.98, 0.89, and 0.84, respectively. The root mean square errors of cross-validation (RMSECV)
were 0.106, 0.095, 0.188 and 0.034, respectively. Ratios of prediction to deviation (RPD) were 7.80,
8.08, 3.15 and 2.53, respectively. Nonsignificant (P>0.05) difference was observed between the true
and predicted values for all the proximate composition. It was concluded that FT-NIR spectroscopy
can be used as a promising tool for assessing the proximate composition of mutton.
Description
TNV_IJSR_2023_29(1)104-108
Keywords
Veterinary Science