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Journal Abstract Search

840 related items for PubMed ID: 24555369

  • 1. [Application of near infrared reflectance spectroscopy to predict meat chemical compositions: a review].
    Tao LL, Yang XJ, Deng JM, Zhang X.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2013 Nov; 33(11):3002-9. PubMed ID: 24555369
    [Abstract] [Full Text] [Related]

  • 2. [Prediction of minced pork quality attributes using visible and near infrared reflectance spectroscopy].
    Fan YX, Liao YT, Cheng F.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2011 Oct; 31(10):2734-7. PubMed ID: 22250546
    [Abstract] [Full Text] [Related]

  • 3. Development of near infrared reflectance spectroscopy to predict chemical composition with a wide range of variability in beef.
    Su H, Sha K, Zhang L, Zhang Q, Xu Y, Zhang R, Li H, Sun B.
    Meat Sci; 2014 Oct; 98(2):110-4. PubMed ID: 24927045
    [Abstract] [Full Text] [Related]

  • 4. At-line prediction of fatty acid profile in chicken breast using near infrared reflectance spectroscopy.
    De Marchi M, Riovanto R, Penasa M, Cassandro M.
    Meat Sci; 2012 Mar; 90(3):653-7. PubMed ID: 22082651
    [Abstract] [Full Text] [Related]

  • 5. [Near infrared reflectance spectroscopy (NIRS) and its application in the determination for the quality of animal feed and products].
    Wang L, Meng QX, Ren LP, Yang JS.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2010 Jun; 30(6):1482-7. PubMed ID: 20707134
    [Abstract] [Full Text] [Related]

  • 6. Prediction of some quality attributes of lamb meat using near-infrared hyperspectral imaging and multivariate analysis.
    Kamruzzaman M, ElMasry G, Sun DW, Allen P.
    Anal Chim Acta; 2012 Feb 10; 714():57-67. PubMed ID: 22244137
    [Abstract] [Full Text] [Related]

  • 7. Challenges in Model Development for Meat Composition Using Multipoint NIR Spectroscopy from At-Line to In-Line Monitoring.
    Dixit Y, Casado-Gavalda MP, Cama-Moncunill R, Cullen PJ, Sullivan C.
    J Food Sci; 2017 Jul 10; 82(7):1557-1562. PubMed ID: 28598587
    [Abstract] [Full Text] [Related]

  • 8. On-line prediction of fresh pork quality using visible/near-infrared reflectance spectroscopy.
    Liao YT, Fan YX, Cheng F.
    Meat Sci; 2010 Dec 10; 86(4):901-7. PubMed ID: 20728281
    [Abstract] [Full Text] [Related]

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  • 10. Parsimonious model development for real-time monitoring of moisture in red meat using hyperspectral imaging.
    Kamruzzaman M, Makino Y, Oshita S.
    Food Chem; 2016 Apr 01; 196():1084-91. PubMed ID: 26593592
    [Abstract] [Full Text] [Related]

  • 11. [Qualitative and quantitative detection of minced pork quality by near infrared reflectance spectroscopy].
    Cheng F, Fan YX, Liao YT.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2012 Feb 01; 32(2):354-9. PubMed ID: 22512167
    [Abstract] [Full Text] [Related]

  • 12. Near-infrared reflectance spectroscopy as a method to predict chemical composition of breast meat and discriminate between different n-3 feeding sources.
    Berzaghi P, Dalle Zotte A, Jansson LM, Andrighetto I.
    Poult Sci; 2005 Jan 01; 84(1):128-36. PubMed ID: 15685952
    [Abstract] [Full Text] [Related]

  • 13. [Study on the Rapid Evaluation of Total Volatile Basic Nitrogen (TVB-N) of Mutton by Hyperspectral Imaging Technique].
    Zhu RG, Yao XD, Duan HW, Ma BX, Tang MX.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2016 Mar 01; 36(3):806-10. PubMed ID: 27400528
    [Abstract] [Full Text] [Related]

  • 14. [Research on prediction chemical composition of beef by near infrared reflectance spectroscopy].
    Sun XM, Lu L, Zhang JC, Zhang SS, Sun BZ.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2011 Feb 01; 31(2):379-83. PubMed ID: 21510385
    [Abstract] [Full Text] [Related]

  • 15. [Detection of fatty acid composition in intramuscular fat of packed pork loin by near infrared spectroscopy].
    Hu YH, Guo KQ, Noguchi G, Satake T.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Aug 01; 29(8):2079-82. PubMed ID: 19839312
    [Abstract] [Full Text] [Related]

  • 16. Fast detection and visualization of minced lamb meat adulteration using NIR hyperspectral imaging and multivariate image analysis.
    Kamruzzaman M, Sun DW, ElMasry G, Allen P.
    Talanta; 2013 Jan 15; 103():130-6. PubMed ID: 23200368
    [Abstract] [Full Text] [Related]

  • 17. Predicting pork quality using Vis/NIR spectroscopy.
    Balage JM, da Luz E Silva S, Gomide CA, Bonin Mde N, Figueira AC.
    Meat Sci; 2015 Oct 15; 108():37-43. PubMed ID: 26021598
    [Abstract] [Full Text] [Related]

  • 18. Application of near infrared reflectance spectroscopy to predict meat and meat products quality: A review.
    Prieto N, Roehe R, Lavín P, Batten G, Andrés S.
    Meat Sci; 2009 Oct 15; 83(2):175-86. PubMed ID: 20416766
    [Abstract] [Full Text] [Related]

  • 19. Prediction of meat quality traits in Nelore cattle by near-infrared reflectance spectroscopy.
    Magalhães AFB, Teixeira GHA, Ríos ACH, Silva DBDS, Mota LFM, Muniz MMM, de Morais CLM, de Lima KMG, Cunha Júnior LC, Baldi F, Carvalheiro R, Oliveira HN, Chardulo LAL, Albuquerque LG.
    J Anim Sci; 2018 Sep 29; 96(10):4229-4237. PubMed ID: 30010881
    [Abstract] [Full Text] [Related]

  • 20. Recent advances in rapid and nondestructive determination of fat content and fatty acids composition of muscle foods.
    Tao F, Ngadi M.
    Crit Rev Food Sci Nutr; 2018 Jun 13; 58(9):1565-1593. PubMed ID: 28118034
    [Abstract] [Full Text] [Related]

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