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Journal Abstract Search

147 related items for PubMed ID: 18068778

  • 1. Prediction of soluble solids content, firmness and pH of pear by signals of electronic nose sensors.
    Zhang H, Wang J, Ye S.
    Anal Chim Acta; 2008 Jan 07; 606(1):112-8. PubMed ID: 18068778
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  • 2. [Research on the soluble solids content of pear internal quality index by near-infrared diffuse reflectance spectroscopy].
    Liu YD, Sun XD, Chen XM.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Apr 07; 28(4):797-800. PubMed ID: 18619301
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  • 3. Monitoring storage time and quality attribute of egg based on electronic nose.
    Wang Y, Wang J, Zhou B, Lu Q.
    Anal Chim Acta; 2009 Sep 21; 650(2):183-8. PubMed ID: 19720190
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  • 4. [Detection of pear firmness using near infrared diffuse reflectance spectroscopy].
    Fu XP, Ying YB, Liu YD, Lu HS.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2006 Jun 21; 26(6):1038-41. PubMed ID: 16961225
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  • 10. Prediction of impact sensitivity of nitro energetic compounds by neural network based on electrotopological-state indices.
    Wang R, Jiang J, Pan Y, Cao H, Cui Y.
    J Hazard Mater; 2009 Jul 15; 166(1):155-86. PubMed ID: 19101083
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  • 11. Prediction of auto-ignition temperatures of hydrocarbons by neural network based on atom-type electrotopological-state indices.
    Pan Y, Jiang J, Wang R, Cao H, Zhao J.
    J Hazard Mater; 2008 Sep 15; 157(2-3):510-7. PubMed ID: 18280036
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  • 12. Prediction of human skin permeability using artificial neural network (ANN) modeling.
    Chen LJ, Lian GP, Han LJ.
    Acta Pharmacol Sin; 2007 Apr 15; 28(4):591-600. PubMed ID: 17376301
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  • 13. Retention prediction of adrenoreceptor agonists and antagonists on a diol column in hydrophilic interaction chromatography.
    Quiming NS, Denola NL, Ueta I, Saito Y, Tatematsu S, Jinno K.
    Anal Chim Acta; 2007 Aug 13; 598(1):41-50. PubMed ID: 17693305
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  • 14. In silico prediction of buffer solubility based on quantum-mechanical and HQSAR- and topology-based descriptors.
    Göller AH, Hennemann M, Keldenich J, Clark T.
    J Chem Inf Model; 2006 Aug 13; 46(2):648-58. PubMed ID: 16562995
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  • 15. Use of computer-assisted methods for the modeling of the retention time of a variety of volatile organic compounds: a PCA-MLR-ANN approach.
    Jalali-Heravi M, Kyani A.
    J Chem Inf Comput Sci; 2004 Aug 13; 44(4):1328-35. PubMed ID: 15272841
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  • 18. Physical-Chemical Composition and Quality Related Changes in "Ruaner" Pear (Pyrus ussuriensis) During Freezing-Thawing Period.
    Liu Y, Wu Y, Che F, Zhang Z, Chen B.
    Molecules; 2019 Jul 18; 24(14):. PubMed ID: 31323743
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  • 19. Combination of artificial neural network technique and linear free energy relationship parameters in the prediction of gradient retention times in liquid chromatography.
    Fatemi MH, Abraham MH, Poole CF.
    J Chromatogr A; 2008 May 09; 1190(1-2):241-52. PubMed ID: 18395736
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  • 20. Nondestructive determination of total soluble solid content and firmness in plums using near-infrared reflectance spectroscopy.
    Paz P, Sánchez MT, Pérez-Marín D, Guerrero JE, Garrido-Varo A.
    J Agric Food Chem; 2008 Apr 23; 56(8):2565-70. PubMed ID: 18363330
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