Asian-Australasian Journal of Animal Sciences

  • 제18권7호
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  • Pages.1036-1040
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  • 2005
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  • 1011-2367(pISSN)
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  • 1976-5517(eISSN)
아세아태평양축산학회 (Asian Australasian Association of Animal Production Societies)
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Prediction of Crude Protein, Extractable Fat, Calcium and Phosphorus Contents of Broiler Chicken Carcasses Using Near-infrared Reflectance Spectroscopy

  • Kadim, I.T. (Department of Animal and Veterinary Sciences, College of Agricultural and Marine Sciences, Sultan Qaboos University) ;
  • Mahgoub, O. (Department of Animal and Veterinary Sciences, College of Agricultural and Marine Sciences, Sultan Qaboos University) ;
  • Al-Marzooqi, W. (Department of Animal and Veterinary Sciences, College of Agricultural and Marine Sciences, Sultan Qaboos University) ;
  • Annamalai, K. (Department of Animal and Veterinary Sciences, College of Agricultural and Marine Sciences, Sultan Qaboos University)
  • 투고 : 2004.09.26
  • 심사 : 2005.02.28
  • 발행 : 2005.07.01
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초록

Near-infrared reflectance spectroscopic (NIRS) calibrations were developed for accurate and fast prediction of whole broiler chicken carcass composition. The Feed and Forage Foss systems Model 5000 Reflectance Transport Model 5000 with near-infrared reflectance spectroscopy (NIRS)-WinISI II windows software was used for this purpose. One equation was developed for the prediction of each carcass component. One hundred and fifty freeze dried broiler whole carcass samples were ground in a Cyclotech 1,093 sample mill and analyzed for dry matter, protein, fat, calcium and phosphate. Samples were divided into two sets: a calibration set from which equations were derived and a prediction set used to validate these equations. The chemical analysis values (mean${\pm}$SD) were calculated based on dry matter basis as follows: dry matter: 33.41${\pm}$2.78 (range: 26.41-43.47), protein: 54.04${\pm}$6.63 (range: 36.20-76.09), fat 35.44${\pm}$8.34 (range: 7.50-55.03), calcium 2.55${\pm}$0.65 (range: 0.99-4.41), phosphorus 1.38${\pm}$0.26 (range: 0.60-2.28). One hundred and three samples were used to calibrate the equations and prediction values. The software used was modified to obtain partial least square regression statistics, as it is the most suitable for natural products analysis. The coefficients of determination ($R^2$) and the standard errors of prediction were 0.82 and 1.83 for the dry matter, 0.96 and 1.98 for protein, 0.99 and 1.07 for fat, 0.90 and 0.30 for calcium and 0.91 and 0.11 for phosphorus, respectively. The present study indicated that NIRS can be calibrated to predict the whole broiler carcass chemical composition, including minerals in a rapid, accurate, and cost effective manner. It neither requires skilled operators nor generates hazardous waste. These findings may have practical importance to improve instrumental procedures for quick evaluation of broiler carcass composition.

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  2. Measurement of water-holding capacity in raw and freeze-dried broiler breast meat with visible and near-infrared spectroscopy1 vol.93, pp.7, 2014, https://doi.org/10.3382/ps.2013-03651
  3. A Review of near Infrared Spectroscopy in Muscle Food Analysis: 2005–2010 vol.19, pp.2, 2011, https://doi.org/10.1255/jnirs.924
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