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PUBMED FOR HANDHELDS

Journal Abstract Search


143 related items for PubMed ID: 27004116

  • 1. Prediction of meat spectral patterns based on optical properties and concentrations of the major constituents.
    ElMasry G, Nakauchi S.
    Food Sci Nutr; 2016 Mar; 4(2):269-83. PubMed ID: 27004116
    [Abstract] [Full Text] [Related]

  • 2. Application of mid-infrared spectroscopy with multivariate analysis and soft independent modeling of class analogies (SIMCA) for the detection of adulterants in minced beef.
    Meza-Márquez OG, Gallardo-Velázquez T, Osorio-Revilla G.
    Meat Sci; 2010 Oct; 86(2):511-9. PubMed ID: 20598447
    [Abstract] [Full Text] [Related]

  • 3. Non-destructive determination of chemical composition in intact and minced pork using near-infrared hyperspectral imaging.
    Barbin DF, ElMasry G, Sun DW, Allen P.
    Food Chem; 2013 Jun 01; 138(2-3):1162-71. PubMed ID: 23411227
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  • 4. Detection of adulteration with duck meat in minced lamb meat by using visible near-infrared hyperspectral imaging.
    Zheng X, Li Y, Wei W, Peng Y.
    Meat Sci; 2019 Mar 01; 149():55-62. PubMed ID: 30463040
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    Frostig RD, Cuccia DJ, Abookasis D, Frostig RD, Tromberg BJ.
    ; 2009 Mar 01. PubMed ID: 26844326
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  • 7. 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
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  • 11. Application of visible and near infrared hyperspectral imaging for non-invasively measuring distribution of water-holding capacity in salmon flesh.
    Wu D, Sun DW.
    Talanta; 2013 Nov 15; 116():266-76. PubMed ID: 24148403
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  • 12. Rapid Identification and Visualization of Jowl Meat Adulteration in Pork Using Hyperspectral Imaging.
    Jiang H, Cheng F, Shi M.
    Foods; 2020 Feb 06; 9(2):. PubMed ID: 32041126
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  • 13. 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 06; 82(7):1557-1562. PubMed ID: 28598587
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  • 14. 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 06; 98(2):110-4. PubMed ID: 24927045
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  • 17. [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 06; 36(3):806-10. PubMed ID: 27400528
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  • 19. Genetic analysis of beef fatty acid composition predicted by near-infrared spectroscopy.
    Cecchinato A, De Marchi M, Penasa M, Casellas J, Schiavon S, Bittante G.
    J Anim Sci; 2012 Feb 06; 90(2):429-38. PubMed ID: 21948610
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  • 20. Visible and near-infrared bulk optical properties of raw milk.
    Aernouts B, Van Beers R, Watté R, Huybrechts T, Lammertyn J, Saeys W.
    J Dairy Sci; 2015 Oct 06; 98(10):6727-38. PubMed ID: 26210269
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