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Visible/near infrared reflectance spectroscopy for predicting composition and tracing system of production of beef muscle

Published online by Cambridge University Press:  18 August 2016

D. Cozzolino ,
D. De Mattos  and
D. Vaz Martins
D. Cozzolino*
Affiliation:
Instituto Nacional de Investigacion Agropecuaria (INIA), La Estanzuela, Ruta 50, km 11, Colonia, Uruguay
D. De Mattos
Affiliation:
INIA Tacuarembo, Tacuarembo, Uruguay
D. Vaz Martins
Affiliation:
Instituto Nacional de Investigacion Agropecuaria (INIA), La Estanzuela, Ruta 50, km 11, Colonia, Uruguay
*
E-mail:[email protected]
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Abstract

Muscle chemical analysis and muscle identification both were attempted by using visible and near infrared reflectance spectroscopy (NIRS). Seventy-eight beef muscles (m. longissimus dorsi) from Hereford cattle were used. The samples were scanned in a NIRS monochromator instrument (NIRSystems 6500, Silver Spring, MD, USA) in reflectance mode (log 1/R). Both intact and minced muscle presentation to the instrument were explored. Predictive equations were made using ISI software (Infrasoft International, Port Matilda, PA, USA) and muscle identification was performed by Principal Component Analysis (PCA) and Soft Independent Modelling of Class Analogy (SIMCA). The coefficient of determination in calibration (R2CAL) and standard error in cross validation (SECV) for the intact sample presentation were 009 (SECV: 15·6), 0·89 (SECV: 46·9), 0·48 (SECV: 23·9) for moisture (M), fat and crude protein (CP) on g/kg fresh weight basis respectively. R2CAL and SECV for minced sample presentation were 0·41 (SECV: 161), 0·92 (SECV: 43·4), 0·71 (SECV: 20·5) for M, fat and CP on g/kg fresh weight basis respectively. Qualitative analysis of optical information through PCA and SIMCA analysis showed differences in muscles resulting from two different feeding systems.

Keywords

beef qualitynear infrared reflectance spectroscopy (NIRS)principal component analysissteerstracer techniques
Type
Growth, development and meat science
Information
Animal Science , Volume 74 , Issue 3 , June 2002 , pp. 477 - 484
Copyright
Copyright © British Society of Animal Science 2002

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