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Journal Abstract Search

400 related items for PubMed ID: 19919112

  • 21. Near-infrared reflectance models for the rapid prediction of quality of brewing raw materials.
    Marte L, Belloni P, Genorini E, Sileoni V, Perretti G, Montanari L, Marconi O.
    J Agric Food Chem; 2009 Jan 28; 57(2):326-33. PubMed ID: 19099457
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  • 22. Determination of total nitrogen content, pH, density, refractive index, and brix in Thai fish sauces and their classification by near-infrared spectroscopy with searching combination moving window partial least squares.
    Ritthiruangdej P, Kasemsumran S, Suwonsichon T, Haruthaithanasan V, Thanapase W, Ozaki Y.
    Analyst; 2005 Oct 28; 130(10):1439-45. PubMed ID: 16172671
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  • 23. [Determination of chemical components in tobacco leaves by FT-NIR spectroscopy: study of influence of spectral ranges on PLS modeling].
    Ma X, Wang Y, Wen YD, Xie LH, Cui YH, Zhang J, Li HB.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2004 Apr 28; 24(4):444-6. PubMed ID: 15766153
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  • 24. Analysis of nitrogen fractions in silage by near-infrared spectroscopy.
    Hermida M, Lois A, Rodriguez-Otero JL.
    J Agric Food Chem; 2005 Mar 09; 53(5):1374-8. PubMed ID: 15740009
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  • 25. Changes in oxalate composition and other nutritive traits in root tubers and shoots of sweet potato (Ipomoea batatas L. [Lam.]) under water stress.
    Gouveia CS, Ganança JF, Lebot V, Pinheiro de Carvalho MÂ.
    J Sci Food Agric; 2020 Mar 15; 100(4):1702-1710. PubMed ID: 31803935
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  • 28. Nondestructive determination of lignans and lignan glycosides in sesame seeds by near infrared reflectance spectroscopy.
    Kim KS, Park SH, Choung MG.
    J Agric Food Chem; 2006 Jun 28; 54(13):4544-50. PubMed ID: 16786996
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  • 30. Application of near-infrared spectroscopy for estimation of non-structural carbohydrates in foliar samples of Eucalyptus globulus Labilladière.
    Quentin AG, Rodemann T, Doutreleau MF, Moreau M, Davies NW, Millard P.
    Tree Physiol; 2017 Jan 31; 37(1):131-141. PubMed ID: 28173560
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  • 32. Near-infrared reflectance spectroscopy prediction of neutral detergent-soluble carbohydrates in timothy and alfalfa.
    Nie Z, Tremblay GF, Bélanger G, Berthiaume R, Castonguay Y, Bertrand A, Michaud R, Allard G, Han J.
    J Dairy Sci; 2009 Apr 31; 92(4):1702-11. PubMed ID: 19307652
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  • 34. Quantitative analysis of routine chemical constituents in tobacco by near-infrared spectroscopy and support vector machine.
    Zhang Y, Cong Q, Xie Y, JingxiuYang, Zhao B.
    Spectrochim Acta A Mol Biomol Spectrosc; 2008 Dec 15; 71(4):1408-13. PubMed ID: 18538628
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  • 35. Near-infrared reflectance model for the rapid prediction of total fat in cereal foods.
    Vines LL, Kays SE, Koehler PE.
    J Agric Food Chem; 2005 Mar 09; 53(5):1550-5. PubMed ID: 15740039
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  • 37. Convolutional neural network allows amylose content prediction in yam (Dioscorea alata L.) flour using near infrared spectroscopy.
    Houngbo ME, Desfontaines L, Diman JL, Arnau G, Mestres C, Davrieux F, Rouan L, Beurier G, Marie-Magdeleine C, Meghar K, Alamu EO, Otegbayo BO, Cornet D.
    J Sci Food Agric; 2024 Jun 09; 104(8):4915-4921. PubMed ID: 37400424
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