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PUBMED FOR HANDHELDS

Journal Abstract Search


347 related items for PubMed ID: 23200388

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  • 23. Prediction of oil and oleic acid concentrations in individual corn (Zea mays L.) kernels using near-infrared reflectance hyperspectral imaging and multivariate analysis.
    Weinstock BA, Janni J, Hagen L, Wright S.
    Appl Spectrosc; 2006 Jan; 60(1):9-16. PubMed ID: 16454902
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  • 24. Near-infrared hyperspectral imaging for grading and classification of pork.
    Barbin D, Elmasry G, Sun DW, Allen P.
    Meat Sci; 2012 Jan; 90(1):259-68. PubMed ID: 21821367
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  • 25. Protein content prediction in single wheat kernels using hyperspectral imaging.
    Caporaso N, Whitworth MB, Fisk ID.
    Food Chem; 2018 Feb 01; 240():32-42. PubMed ID: 28946278
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  • 26. 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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  • 32. Applications of single kernel conventional and hyperspectral imaging near infrared spectroscopy in cereals.
    Fox G, Manley M.
    J Sci Food Agric; 2014 Jan 30; 94(2):174-9. PubMed ID: 24038031
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  • 33. Near infrared spectral imaging for the analysis of dynamite residues on human handprints.
    de la Ossa MÁ, García-Ruiz C, Amigo JM.
    Talanta; 2014 Dec 30; 130():315-21. PubMed ID: 25159415
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  • 34. Considerations regarding the use of hyperspectral imaging data in classifications of food products, exemplified by analysis of maize kernels.
    Nansen C, Kolomiets M, Gao X.
    J Agric Food Chem; 2008 May 14; 56(9):2933-8. PubMed ID: 18410111
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  • 40. Growth characteristics of three Fusarium species evaluated by near-infrared hyperspectral imaging and multivariate image analysis.
    Williams PJ, Geladi P, Britz TJ, Manley M.
    Appl Microbiol Biotechnol; 2012 Nov 14; 96(3):803-13. PubMed ID: 22961391
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