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Journal Abstract Search

238 related items for PubMed ID: 15242453

  • 1. Rapid and quantitative detection of the microbial spoilage in chicken meat by diffuse reflectance spectroscopy (600-1100 nm).
    Lin M, Al-Holy M, Mousavi-Hesary M, Al-Qadiri H, Cavinato AG, Rasco BA.
    Lett Appl Microbiol; 2004; 39(2):148-55. PubMed ID: 15242453
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  • 4. Use of near infrared spectroscopy to predict microbial numbers on Atlantic salmon.
    Tito NB, Rodemann T, Powell SM.
    Food Microbiol; 2012 Dec; 32(2):431-6. PubMed ID: 22986211
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  • 7. Detection and quantification of bacterial spoilage in milk and pork meat using MALDI-TOF-MS and multivariate analysis.
    Nicolaou N, Xu Y, Goodacre R.
    Anal Chem; 2012 Jul 17; 84(14):5951-8. PubMed ID: 22698768
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  • 8. Near-infrared hyperspectral imaging in tandem with partial least squares regression and genetic algorithm for non-destructive determination and visualization of Pseudomonas loads in chicken fillets.
    Feng YZ, Sun DW.
    Talanta; 2013 May 15; 109():74-83. PubMed ID: 23618142
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  • 9. Assessing the capability of Fourier transform infrared spectroscopy in tandem with chemometric analysis for predicting poultry meat spoilage.
    Rahman UU, Sahar A, Pasha I, Rahman SU, Ishaq A.
    PeerJ; 2018 May 15; 6():e5376. PubMed ID: 30123708
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  • 10. [Near infrared diffuse reflectance spectroscopy for rapid analysis of soluble solids content in navel orange].
    Liu YD, Ouyang AG, Luo J, Chen XM.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2007 Nov 15; 27(11):2190-2. PubMed ID: 18260391
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  • 11. Rapid and quantitative detection of the microbial spoilage in milk using Fourier transform infrared spectroscopy and chemometrics.
    Nicolaou N, Goodacre R.
    Analyst; 2008 Oct 15; 133(10):1424-31. PubMed ID: 18810291
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  • 12. Monitoring of bacterial contamination on chicken meat surface using a novel narrowband spectral index derived from hyperspectral imagery data.
    Ye X, Iino K, Zhang S.
    Meat Sci; 2016 Dec 15; 122():25-31. PubMed ID: 27471794
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  • 13. [Prediction of storage time of fresh beef with multi-index using visible and near-infrared spectroscopy].
    Ma SB, Xu Y, Tang XY, Tian XY, Fu X.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2012 Dec 15; 32(12):3242-6. PubMed ID: 23427544
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  • 14. [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 15; 28(4):797-800. PubMed ID: 18619301
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  • 15. Potential of time series-hyperspectral imaging (TS-HSI) for non-invasive determination of microbial spoilage of salmon flesh.
    Wu D, Sun DW.
    Talanta; 2013 Jul 15; 111():39-46. PubMed ID: 23622523
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  • 16. A comparison of artificial neural networks and partial least squares modelling for the rapid detection of the microbial spoilage of beef fillets based on Fourier transform infrared spectral fingerprints.
    Panagou EZ, Mohareb FR, Argyri AA, Bessant CM, Nychas GJ.
    Food Microbiol; 2011 Jun 15; 28(4):782-90. PubMed ID: 21511139
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  • 17. At-line prediction of fatty acid profile in chicken breast using near infrared reflectance spectroscopy.
    De Marchi M, Riovanto R, Penasa M, Cassandro M.
    Meat Sci; 2012 Mar 15; 90(3):653-7. PubMed ID: 22082651
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  • 20. Feasibility for quantitative determination of deoxyribonucleic acid by using near-infrared diffuse reflectance spectroscopy.
    Yang Y, Tu J, Cai W, Shao X.
    Talanta; 2012 Sep 15; 99():871-4. PubMed ID: 22967636
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