Literature DB >> 22063031

Ability of near infrared reflectance spectroscopy (NIRS) to estimate physical parameters of adult steers (oxen) and young cattle meat samples.

N Prieto1, S Andrés, F J Giráldez, A R Mantecón, P Lavín.   

Abstract

The potential of NIRS-based models to predict several physical parameters of oxen and young cattle beef protected by a quality mark was evaluated. Fifty-three and 67 samples of Longissimus thoracis muscle corresponding to oxen and young cattle reared in extensive conditions were analyzed for pH, colour (L(∗), a(∗), b(∗)), water holding capacity (WHC) and Warner-Braztler shear force (WBSF), according to the conventional methods. Several factors which might have jeopardized the prediction of pH, a(∗), WHC and WBSF by NIRS are considered in the discussion section. However, the best NIR calibrations, tested by full cross-validation, were for L(∗) (R(2)=0.869; SE(CV)=1.56) and b(∗) (R(2)=0.901; SE(CV)=1.08) colour parameters in meat samples from young cattle. It can be concluded that NIRS could be a useful tool for estimating the colour of young cattle meat samples, primary consideration for consumers when making purchasing decisions.

Entities:  

Year:  2007        PMID: 22063031     DOI: 10.1016/j.meatsci.2007.10.035

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


  10 in total

1.  Prediction of meat quality traits in Nelore cattle by near-infrared reflectance spectroscopy.

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Journal:  J Anim Sci       Date:  2018-09-29       Impact factor: 3.159

2.  Multi-Omics Analysis of the Microbiome and Metabolome Reveals the Relationship Between the Gut Microbiota and Wooden Breast Myopathy in Broilers.

Authors:  Kelang Kang; Nanxuan Zhou; Weishi Peng; Fang Peng; Mengmeng Ma; Liwei Li; Fuyi Fu; Shuhan Xiang; Haihan Zhang; Xi He; Zehe Song
Journal:  Front Vet Sci       Date:  2022-06-23

3.  Gastric cancer diagnosis using hyperspectral imaging with principal component analysis and spectral angle mapper.

Authors:  Ningliang Liu; Yaxiong Guo; Houmin Jiang; Weisong Yi
Journal:  J Biomed Opt       Date:  2020-06       Impact factor: 3.170

4.  Near-Infrared Spectroscopy as a Beef Quality Tool to Predict Consumer Acceptance.

Authors:  Wilson Barragán-Hernández; Liliana Mahecha-Ledesma; Joaquín Angulo-Arizala; Martha Olivera-Angel
Journal:  Foods       Date:  2020-07-24

Review 5.  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

6.  The Feasibility of Two Handheld Spectrometers for Meat Speciation Combined with Chemometric Methods and Its Application for Halal Certification.

Authors:  Abolfazl Dashti; Judith Müller-Maatsch; Yannick Weesepoel; Hadi Parastar; Farzad Kobarfard; Bahram Daraei; Mohammad Hossein Shojaee AliAbadi; Hassan Yazdanpanah
Journal:  Foods       Date:  2021-12-29

7.  Determination of Moisture and Protein Content in Living Mealworm Larvae (Tenebrio molitor L.) Using Near-Infrared Reflectance Spectroscopy (NIRS).

Authors:  Nina Kröncke; Rainer Benning
Journal:  Insects       Date:  2022-06-20       Impact factor: 3.139

8.  The Breed and Sex Effect on the Carcass Size Performance and Meat Quality of Yak in Different Muscles.

Authors:  Li Zhang; Baozhong Sun; Qunli Yu; Qiumei Ji; Peng Xie; Haipeng Li; Li Wang; Yuchun Zhou; Yongpeng Li; Caixia Huang; Xuan Liu
Journal:  Korean J Food Sci Anim Resour       Date:  2016-04-30       Impact factor: 2.622

9.  Online Prediction of Physico-Chemical Quality Attributes of Beef Using Visible-Near-Infrared Spectroscopy and Chemometrics.

Authors:  Amna Sahar; Paul Allen; Torres Sweeney; Jamie Cafferky; Gerard Downey; Andrew Cromie; Ruth M Hamill
Journal:  Foods       Date:  2019-10-23

Review 10.  Infrared Spectrometry as a High-Throughput Phenotyping Technology to Predict Complex Traits in Livestock Systems.

Authors:  Tiago Bresolin; João R R Dórea
Journal:  Front Genet       Date:  2020-08-20       Impact factor: 4.599

  10 in total

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