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Journal Abstract Search

299 related items for PubMed ID: 26021598

  • 21. Prediction of alpaca fibre quality by near-infrared reflectance spectroscopy.
    Canaza-Cayo AW, Alomar D, Quispe E.
    Animal; 2013 Jul; 7(7):1219-25. PubMed ID: 23535002
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  • 23. Potential of near infrared (NIR) spectroscopy and dual energy X-ray absorptiometry (DXA) in predicting pork belly softness.
    Soladoye OP, Prieto N, Lopez-Campos O, Aalhus JL, Uttaro B, Roberts JC, Larsen I, Shand P, Gariépy C, Juárez M.
    Meat Sci; 2018 Aug; 142():1-4. PubMed ID: 29630966
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  • 24. 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
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  • 25. Application of portable Vis-NIR spectroscopy for rapid detection of myoglobin in frozen pork.
    Rong Y, Zareef M, Liu L, Din ZU, Chen Q, Ouyang Q.
    Meat Sci; 2023 Jul; 201():109170. PubMed ID: 37004370
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  • 27. [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; 32(2):354-9. PubMed ID: 22512167
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  • 28. [Online determination of pH in fresh pork by visible/near-infrared spectroscopy].
    Liao YT, Fan YX, Wu XQ, Cheng F.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2010 Mar; 30(3):681-4. PubMed ID: 20496686
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  • 29. Prediction of physical, color, and sensory characteristics of broiler breasts by visible/near infrared reflectance spectroscopy.
    Liu Y, Lyon BG, Windham WR, Lyon CE, Savage EM.
    Poult Sci; 2004 Aug; 83(8):1467-74. PubMed ID: 15339027
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  • 32. Development of VISNIR predictive regression models for ultimate pH, meat tenderness (shear force) and intramuscular fat content of Australian lamb.
    Knight MI, Linden N, Ponnampalam EN, Kerr MG, Brown WG, Hopkins DL, Baud S, Ball AJ, Borggaard C, Wesley I.
    Meat Sci; 2019 Sep; 155():102-108. PubMed ID: 31102991
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  • 33. [Rapid evaluation of beef quality by NIRS technology].
    Yang JS, Meng QX, Ren LP, Zhou ZM, Xie XX.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2010 Mar; 30(3):685-7. PubMed ID: 20496687
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  • 34. Prediction of pork quality attributes from near infrared reflectance spectra.
    Geesink GH, Schreutelkamp FH, Frankhuizen R, Vedder HW, Faber NM, Kranen RW, Gerritzen MA.
    Meat Sci; 2003 Sep; 65(1):661-8. PubMed ID: 22063261
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  • 35. [Preliminary Study on the Detection of Pork Tenderness by Three-Dimensional Diffuse Reflectance Spectroscopy].
    Zhang ZY, Zuo YM, Chen JM, Li G, Chen C, Yang W.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Jun; 35(6):1660-3. PubMed ID: 26601386
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  • 36. Near-infrared reflectance spectroscopy predictions as indicator traits in breeding programs for enhanced beef quality.
    Cecchinato A, De Marchi M, Penasa M, Albera A, Bittante G.
    J Anim Sci; 2011 Sep; 89(9):2687-95. PubMed ID: 21454870
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  • 39. [Comparison of PLS and SMLR for nondestructive determination of sugar content in honey peach using NIRS].
    Xu HR, Wang HJ, Huang K, Ying YB, Yang C, Qian H, Hu J.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Nov; 28(11):2523-6. PubMed ID: 19271481
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  • 40. Effect of diet composition on the determination of ash and moisture content in solid cattle manure using visible and near-infrared spectroscopy.
    Sakirkin SL, Morgan CL, MacDonald JC, Auvermann BW.
    Appl Spectrosc; 2011 Sep; 65(9):1056-61. PubMed ID: 21929861
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