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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

141 related items for PubMed ID: 35810726

  • 21. Near-infrared hyperspectral imaging for detection and visualization of offal adulteration in ground pork.
    Jiang H, Ru Y, Chen Q, Wang J, Xu L.
    Spectrochim Acta A Mol Biomol Spectrosc; 2021 Mar 15; 249():119307. PubMed ID: 33348095
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  • 22. Nondestructive detection and visualization of protein oxidation degree of frozen-thawed pork using fluorescence hyperspectral imaging.
    Cheng J, Sun J, Yao K, Xu M, Zhou X.
    Meat Sci; 2022 Dec 15; 194():108975. PubMed ID: 36126392
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  • 23. [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 15; 33(11):3002-9. PubMed ID: 24555369
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  • 24. Online monitoring of red meat color using hyperspectral imaging.
    Kamruzzaman M, Makino Y, Oshita S.
    Meat Sci; 2016 Jun 15; 116():110-7. PubMed ID: 26874594
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  • 25. Prediction of quality traits and grades of intact chicken breast fillets by hyperspectral imaging.
    Yang Y, Wang W, Zhuang H, Yoon SC, Jiang H.
    Br Poult Sci; 2021 Feb 15; 62(1):46-52. PubMed ID: 32875810
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  • 26. Authentication of barley-finished beef using visible and near infrared spectroscopy (Vis-NIRS) and different discrimination approaches.
    Barragán W, Aalhus JL, Penner G, Dugan MER, Juárez M, López-Campos Ó, Vahmani P, Segura J, Angulo J, Prieto N.
    Meat Sci; 2021 Feb 15; 172():108342. PubMed ID: 33080567
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  • 27. 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 15; 93(2):329-35. PubMed ID: 23098602
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  • 28. 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 15; 163():108077. PubMed ID: 32066001
    [Abstract] [Full Text] [Related]

  • 29. 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 15; 91(3):300-5. PubMed ID: 22405914
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  • 32. Across countries implementation of handheld near-infrared spectrometer for the on-line prediction of beef marbling in slaughterhouse.
    Kombolo-Ngah M, Goi A, Santinello M, Rampado N, Atanassova S, Liu J, Faure P, Thoumy L, Neveu A, Andueza D, De Marchi M, Hocquette JF.
    Meat Sci; 2023 Jun 15; 200():109169. PubMed ID: 37001445
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  • 36. 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
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  • 37. Rapid detection of three quality parameters and classification of wine based on Vis-NIR spectroscopy with wavelength selection by ACO and CARS algorithms.
    Hu L, Yin C, Ma S, Liu Z.
    Spectrochim Acta A Mol Biomol Spectrosc; 2018 Dec 05; 205():574-581. PubMed ID: 30075438
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  • 39. An Intelligent Detector for Sensing Pork Freshness In Situ Based on a Multispectral Technique.
    Zou W, Peng Y, Yang D, Zuo J, Li Y, Guo Q.
    Biosensors (Basel); 2022 Nov 10; 12(11):. PubMed ID: 36354507
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  • 40. Spectral absorption index in hyperspectral image analysis for predicting moisture contents in pork longissimus dorsi muscles.
    Ma J, Sun DW, Pu H.
    Food Chem; 2016 Apr 15; 197(Pt A):848-54. PubMed ID: 26617026
    [Abstract] [Full Text] [Related]

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