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PUBMED FOR HANDHELDS

Journal Abstract Search


227 related items for PubMed ID: 28798306

  • 41. Estimation Model for Maize Multi-Components Based on Hyperspectral Data.
    Xue H, Xu X, Meng X.
    Sensors (Basel); 2024 Sep 21; 24(18):. PubMed ID: 39338856
    [Abstract] [Full Text] [Related]

  • 42. Detection of the Soluble Solid Contents from Fresh Jujubes during Different Maturation Periods Using NIR Hyperspectral Imaging and an Artificial Bee Colony.
    Sun H, Zhang S, Chen C, Li C, Xing S, Liu J, Xue J.
    J Anal Methods Chem; 2019 Sep 21; 2019():5032950. PubMed ID: 31061741
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  • 43. Application of hyperspectral imaging for spatial prediction of soluble solid content in sweet potato.
    Shao Y, Liu Y, Xuan G, Wang Y, Gao Z, Hu Z, Han X, Gao C, Wang K.
    RSC Adv; 2020 Sep 07; 10(55):33148-33154. PubMed ID: 35515022
    [Abstract] [Full Text] [Related]

  • 44. Quantitative determination of total pigments in red meats using hyperspectral imaging and multivariate analysis.
    Xiong Z, Sun DW, Xie A, Pu H, Han Z, Luo M.
    Food Chem; 2015 Jul 01; 178():339-45. PubMed ID: 25704721
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  • 45. Determination of protein content of Auricularia auricula using near infrared spectroscopy combined with linear and nonlinear calibrations.
    Liu F, He Y, Sun G.
    J Agric Food Chem; 2009 Jun 10; 57(11):4520-7. PubMed ID: 19489615
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  • 46. Use of visible and near infrared spectroscopy and least squares-support vector machine to determine soluble solids content and pH of cola beverage.
    Liu F, He Y.
    J Agric Food Chem; 2007 Oct 31; 55(22):8883-8. PubMed ID: 17960870
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  • 47. [Non-destructive detection research for hollow heart of potato based on semi-transmission hyperspectral imaging and SVM].
    Huang T, Li XY, Xu ML, Jin R, Ku J, Xu SM, Wu ZZ.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Jan 31; 35(1):198-202. PubMed ID: 25993848
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  • 48. Feasibility of using hyperspectral imaging to predict moisture content of porcine meat during salting process.
    Liu D, Sun DW, Qu J, Zeng XA, Pu H, Ma J.
    Food Chem; 2014 Jan 31; 152():197-204. PubMed ID: 24444926
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  • 49. Non-destructive pre-symptomatic detection of gray mold infection in kiwifruit using hyperspectral data and chemometrics.
    Haghbin N, Bakhshipour A, Zareiforoush H, Mousanejad S.
    Plant Methods; 2023 Jun 02; 19(1):53. PubMed ID: 37268945
    [Abstract] [Full Text] [Related]

  • 50. Chemometrics-assisted simultaneous voltammetric determination of ascorbic acid, uric acid, dopamine and nitrite: application of non-bilinear voltammetric data for exploiting first-order advantage.
    Gholivand MB, Jalalvand AR, Goicoechea HC, Skov T.
    Talanta; 2014 Feb 02; 119():553-63. PubMed ID: 24401455
    [Abstract] [Full Text] [Related]

  • 51. Detection of the Freshness State of Cooked Beef During Storage Using Hyperspectral Imaging.
    Yang D, He D, Lu A, Ren D, Wang J.
    Appl Spectrosc; 2017 Oct 02; 71(10):2286-2301. PubMed ID: 28627234
    [Abstract] [Full Text] [Related]

  • 52. Prediction of various freshness indicators in fish fillets by one multispectral imaging system.
    Khoshnoudi-Nia S, Moosavi-Nasab M.
    Sci Rep; 2019 Oct 11; 9(1):14704. PubMed ID: 31605023
    [Abstract] [Full Text] [Related]

  • 53. Hyperspectral Imaging Coupled with Random Frog and Calibration Models for Assessment of Total Soluble Solids in Mulberries.
    Zhao YR, Yu KQ, He Y.
    J Anal Methods Chem; 2015 Oct 11; 2015():343782. PubMed ID: 26451273
    [Abstract] [Full Text] [Related]

  • 54. Comparison of various chemometric analysis for rapid prediction of thiobarbituric acid reactive substances in rainbow trout fillets by hyperspectral imaging technique.
    Khoshnoudi-Nia S, Moosavi-Nasab M.
    Food Sci Nutr; 2019 May 11; 7(5):1875-1883. PubMed ID: 31139402
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  • 55. Prediction of Soluble-Solid Content in Citrus Fruit Using Visible-Near-Infrared Hyperspectral Imaging Based on Effective-Wavelength Selection Algorithm.
    Kim MJ, Yu WH, Song DJ, Chun SW, Kim MS, Lee A, Kim G, Shin BS, Mo C.
    Sensors (Basel); 2024 Feb 26; 24(5):. PubMed ID: 38475048
    [Abstract] [Full Text] [Related]

  • 56. Parsimonious model development for real-time monitoring of moisture in red meat using hyperspectral imaging.
    Kamruzzaman M, Makino Y, Oshita S.
    Food Chem; 2016 Apr 01; 196():1084-91. PubMed ID: 26593592
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  • 57. Growth period determination and color coordinates visual analysis of tomato using hyperspectral imaging technology.
    Shao Y, Ji S, Shi Y, Xuan G, Jia H, Guan X, Chen L.
    Spectrochim Acta A Mol Biomol Spectrosc; 2024 Oct 15; 319():124538. PubMed ID: 38833885
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  • 58. Potential of Visible and Near-Infrared Hyperspectral Imaging for Detection of Diaphania pyloalis Larvae and Damage on Mulberry Leaves.
    Huang L, Yang L, Meng L, Wang J, Li S, Fu X, Du X, Wu D.
    Sensors (Basel); 2018 Jun 28; 18(7):. PubMed ID: 29958467
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  • 59. Non-destructive detection of kiwifruit soluble solid content based on hyperspectral and fluorescence spectral imaging.
    Xu L, Chen Y, Wang X, Chen H, Tang Z, Shi X, Chen X, Wang Y, Kang Z, Zou Z, Huang P, He Y, Yang N, Zhao Y.
    Front Plant Sci; 2022 Jun 28; 13():1075929. PubMed ID: 36743568
    [Abstract] [Full Text] [Related]

  • 60. [Comparison of Predicting Blueberry Firmness and Elastic Modulus with Hyperspectral Reflectance, Transmittance and Interactance Imaging Modes].
    Hu MH, Dong QL, Liu BL.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2016 Nov 28; 36(11):3651-6. PubMed ID: 30199208
    [Abstract] [Full Text] [Related]


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