Literature DB >> 22062068

Prediction of pork quality using visible/near-infrared reflectance spectroscopy.

B Savenije1, G H Geesink, J G P van der Palen, G Hemke.   

Abstract

Near-infrared spectroscopy is a rapid screening technique that may be used to determine meat quality traits. While several calibrations on meat quality parameters have been published, the accuracy and robustness of a calibration has rarely been validated with independent samples. In this study, in 207 loin muscles from three independent batches of pigs of different breeds drip loss, colour values, pH and intramuscular fat were determined. Calibrations were made from each combination of two batches and validated with the third batch. Validations of pH, intramuscular fat, drip loss, and L(∗), a(∗), and b(∗) colour values had on average 1.27 times the accuracy of the calibration. Breed did not influence the accuracy of the calibration. Intramuscular fat can be determined with good accuracy. Muscle pH and colour values are reasonably well predicted. Drip loss can not be determined quantitatively with sufficient accuracy, but classification of quality groups is possible.

Entities:  

Year:  2006        PMID: 22062068     DOI: 10.1016/j.meatsci.2005.11.006

Source DB:  PubMed          Journal:  Meat Sci        ISSN: 0309-1740            Impact factor:   5.209


  3 in total

Review 1.  Predicting the Quality of Meat: Myth or Reality?

Authors:  Cécile Berri; Brigitte Picard; Bénédicte Lebret; Donato Andueza; Florence Lefèvre; Elisabeth Le Bihan-Duval; Stéphane Beauclercq; Pascal Chartrin; Antoine Vautier; Isabelle Legrand; Jean-François Hocquette
Journal:  Foods       Date:  2019-09-24

2.  Near-Infrared Sensors for Onsite and Noninvasive Quantification of Macronutrients in Breast Milk.

Authors:  Candela Melendreras; Sergio Forcada; María Luisa Fernández-Sánchez; Belén Fernández-Colomer; José M Costa-Fernández; Alberto López; Francisco Ferrero; Ana Soldado
Journal:  Sensors (Basel)       Date:  2022-02-09       Impact factor: 3.576

3.  Determination of Hemicellulose, Cellulose and Lignin in Moso Bamboo by Near Infrared Spectroscopy.

Authors:  Xiaoli Li; Chanjun Sun; Binxiong Zhou; Yong He
Journal:  Sci Rep       Date:  2015-11-25       Impact factor: 4.379

  3 in total

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