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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

299 related items for PubMed ID: 26021598

  • 1. 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; 108():37-43. PubMed ID: 26021598
    [Abstract] [Full Text] [Related]

  • 2. Predicting the shear value and intramuscular fat in meat from Nellore cattle using Vis-NIR spectroscopy.
    de Nadai Bonin M, da Luz E Silva S, Bünger L, Ross D, Dias Feijó GL, da Costa Gomes R, Palma Rennó F, de Almeida Santana MH, Marcondes de Rezende F, Vinhas Ítavo LC, de Novais FJ, Surita LMA, de Nadai Bonin M, Filgueira Pereira MW, Ferraz JBS.
    Meat Sci; 2020 May; 163():108077. PubMed ID: 32066001
    [Abstract] [Full Text] [Related]

  • 3. [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]

  • 4. Prediction of pork quality with near infrared spectroscopy (NIRS): 1. Feasibility and robustness of NIRS measurements at laboratory scale.
    Kapper C, Klont RE, Verdonk JM, Urlings HA.
    Meat Sci; 2012 Jul; 91(3):294-9. PubMed ID: 22410119
    [Abstract] [Full Text] [Related]

  • 5. Rapid discrimination of enhanced quality pork by visible and near infrared spectroscopy.
    Prieto N, Juárez M, Larsen IL, López-Campos Ó, Zijlstra RT, Aalhus JL.
    Meat Sci; 2015 Dec; 110():76-84. PubMed ID: 26188360
    [Abstract] [Full Text] [Related]

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

  • 7. The relevance of different near infrared technologies and sample treatments for predicting meat quality traits in commercial beef cuts.
    De Marchi M, Penasa M, Cecchinato A, Bittante G.
    Meat Sci; 2013 Feb; 93(2):329-35. PubMed ID: 23098602
    [Abstract] [Full Text] [Related]

  • 8. [Extending Hyperspectral Detecting Model of pH in Fresh Pork to New Breeds].
    Liu J, Li XY, Jin R, Xu SM, Ku J.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Jul; 35(7):1973-9. PubMed ID: 26717762
    [Abstract] [Full Text] [Related]

  • 9. 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]

  • 10. Prediction of pork quality with near infrared spectroscopy (NIRS) 2. Feasibility and robustness of NIRS measurements under production plant conditions.
    Kapper C, Klont RE, Verdonk JM, Williams PC, Urlings HA.
    Meat Sci; 2012 Jul 29; 91(3):300-5. PubMed ID: 22405914
    [Abstract] [Full Text] [Related]

  • 11. [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 29; 33(11):3002-9. PubMed ID: 24555369
    [Abstract] [Full Text] [Related]

  • 12. [Measurement of cooking loss and tenderness of fresh pork using visible/near infrared spectroscopy].
    Hu YH, Xiong LY, Jiang GZ, Liu C, Guo KQ, Satake T.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2010 Nov 29; 30(11):2950-3. PubMed ID: 21284160
    [Abstract] [Full Text] [Related]

  • 13. Extensive evaluation of prediction performance for 15 pork quality traits using large scale VIS/NIRS data.
    Tang X, Xie L, Liu S, Chen Z, Rao L, Chen L, Li L, Xiao S, Zhang Z, Huang L.
    Meat Sci; 2022 Oct 29; 192():108902. PubMed ID: 35810726
    [Abstract] [Full Text] [Related]

  • 14. Prediction of meat quality traits in the abattoir using portable and hand-held near-infrared spectrometers.
    Savoia S, Albera A, Brugiapaglia A, Di Stasio L, Ferragina A, Cecchinato A, Bittante G.
    Meat Sci; 2020 Mar 29; 161():108017. PubMed ID: 31884162
    [Abstract] [Full Text] [Related]

  • 15. Rapid detection of frozen pork quality without thawing by Vis-NIR hyperspectral imaging technique.
    Xie A, Sun DW, Xu Z, Zhu Z.
    Talanta; 2015 Jul 01; 139():208-15. PubMed ID: 25882428
    [Abstract] [Full Text] [Related]

  • 16. Performance of different portable and hand-held near-infrared spectrometers for predicting beef composition and quality characteristics in the abattoir without meat sampling.
    Patel N, Toledo-Alvarado H, Bittante G.
    Meat Sci; 2021 Aug 01; 178():108518. PubMed ID: 33866264
    [Abstract] [Full Text] [Related]

  • 17. Development of a system for classification of pork loins for tenderness using visible and near-infrared reflectance spectroscopy.
    Shackelford SD, King DA, Wheeler TL.
    J Anim Sci; 2011 Nov 01; 89(11):3803-8. PubMed ID: 21680788
    [Abstract] [Full Text] [Related]

  • 18. Early on-line classification of beef carcasses based on ultimate pH by near infrared spectroscopy.
    Reis MM, Rosenvold K.
    Meat Sci; 2014 Feb 01; 96(2 Pt A):862-9. PubMed ID: 24211544
    [Abstract] [Full Text] [Related]

  • 19. [Prediction of water holding capacity of fresh pork using near infrared spectroscopy].
    Hu YH, Guo KQ, Noguchi G, Kawano S, Satake T.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Dec 01; 29(12):3259-62. PubMed ID: 20210145
    [Abstract] [Full Text] [Related]

  • 20. Rapid classification of intact chicken breast fillets by predicting principal component score of quality traits with visible/near-Infrared spectroscopy.
    Yang Y, Zhuang H, Yoon SC, Wang W, Jiang H, Jia B.
    Food Chem; 2018 Apr 01; 244():184-189. PubMed ID: 29120769
    [Abstract] [Full Text] [Related]

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