Literature DB >> 20416647

A feasibility study on the use of near-infrared spectroscopy for prediction of the fatty acid profile in live Iberian pigs and carcasses.

D Pérez-Marín1, E De Pedro Sanz, J E Guerrero-Ginel, A Garrido-Varo.   

Abstract

This work reports on the development and optimisation of NIRS technology for fat characterization both in live pigs and in carcasses in the slaughterhouse; use of this technology would enable implementation of a real-time traceability and control system based on non-destructive sensors. A total of 52 Iberian pig fat samples were analysed using a LabSpec(®)Pro A108310 spectrophotometer (Analytical Spectral Device Inc.), with a high-intensity fiber-optic contact probe. Spectra were collected in five analysis modes: from the live animal, from the carcass in the slaughterhouse, from a subcutaneous fat sample with skin, from a skin-free subcutaneous fat sample and from a transverse section. Calibrations were developed for the prediction of the four main fatty acids in Iberian pig fat, obtaining for palmitic acid SECV values of 1.24% for in vivo analysis and 0.82% for carcass analysis, for stearic acid 0.67% and 0.94%, for oleic acid 1.42% and 1.48% and for linoleic 0.36% and 0.55%, respectively. The calibrations accounted for between 60% and 74% of the variation recorded in live animals, and between 31% and 87% of variation in carcasses. These results confirm the feasibility of NIRS technology for the on-site inspection and control of Iberian pig, both in the field and in the slaughterhouse.

Entities:  

Year:  2009        PMID: 20416647     DOI: 10.1016/j.meatsci.2009.07.012

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

Review 2.  Non-Destructive Spectroscopic Techniques and Multivariate Analysis for Assessment of Fat Quality in Pork and Pork Products: A Review.

Authors:  Christopher T Kucha; Li Liu; Michael O Ngadi
Journal:  Sensors (Basel)       Date:  2018-01-28       Impact factor: 3.576

Review 3.  Handheld Devices for Food Authentication and Their Applications: A Review.

Authors:  Judith Müller-Maatsch; Saskia M van Ruth
Journal:  Foods       Date:  2021-11-23
  3 in total

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