BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

224 related articles for article (PubMed ID: 25005851)

  • 21. Processing strawberries to different products alters contents of vitamin C, total phenolics, total anthocyanins, and antioxidant capacity.
    Klopotek Y; Otto K; Böhm V
    J Agric Food Chem; 2005 Jul; 53(14):5640-6. PubMed ID: 15998127
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Robust linear and non-linear models of NIR spectroscopy for detection and quantification of adulterants in fresh and frozen-thawed minced beef.
    Morsy N; Sun DW
    Meat Sci; 2013 Feb; 93(2):292-302. PubMed ID: 23040181
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Influence of processing on quality parameters of strawberries.
    Hartmann A; Patz CD; Andlauer W; Dietrich H; Ludwig M
    J Agric Food Chem; 2008 Oct; 56(20):9484-9. PubMed ID: 18821768
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Evaluation of oxygen exposure levels and polyphenolic content of red wines using an electronic panel formed by an electronic nose and an electronic tongue.
    Rodriguez-Mendez ML; Apetrei C; Gay M; Medina-Plaza C; de Saja JA; Vidal S; Aagaard O; Ugliano M; Wirth J; Cheynier V
    Food Chem; 2014 Jul; 155():91-7. PubMed ID: 24594159
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Early identification of Aspergillus spp. contamination in milled rice by E-nose combined with chemometrics.
    Gu S; Wang Z; Chen W; Wang J
    J Sci Food Agric; 2021 Aug; 101(10):4220-4228. PubMed ID: 33426692
    [TBL] [Abstract][Full Text] [Related]  

  • 26. The qualitative and quantitative assessment of xiaochaihu granules based on e-eye, e-nose, e-tongue and chemometrics.
    Zhang X; Wu H; Lin L; Du X; Tang S; Liu H; Yang H
    J Pharm Biomed Anal; 2021 Oct; 205():114298. PubMed ID: 34428739
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Collaborative Analysis on the Marked Ages of Rice Wines by Electronic Tongue and Nose based on Different Feature Data Sets.
    Zhang H; Shao W; Qiu S; Wang J; Wei Z
    Sensors (Basel); 2020 Feb; 20(4):. PubMed ID: 32075334
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Early discrimination and growth tracking of Aspergillus spp. contamination in rice kernels using electronic nose.
    Gu S; Wang J; Wang Y
    Food Chem; 2019 Sep; 292():325-335. PubMed ID: 31054682
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Combination of an e-nose, an e-tongue and an e-eye for the characterisation of olive oils with different degree of bitterness.
    Apetrei C; Apetrei IM; Villanueva S; de Saja JA; Gutierrez-Rosales F; Rodriguez-Mendez ML
    Anal Chim Acta; 2010 Mar; 663(1):91-7. PubMed ID: 20172102
    [TBL] [Abstract][Full Text] [Related]  

  • 30. How to improve bayberry (Myrica rubra Sieb. et Zucc.) juice color quality: effect of juice processing on bayberry anthocyanins and polyphenolics.
    Fang Z; Zhang M; Sun Y; Sun J
    J Agric Food Chem; 2006 Jan; 54(1):99-106. PubMed ID: 16390184
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Research on Distinguishing Fish Meal Quality Using Different Characteristic Parameters Based on Electronic Nose Technology.
    Li P; Ren Z; Shao K; Tan H; Niu Z
    Sensors (Basel); 2019 May; 19(9):. PubMed ID: 31075849
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Voltammetric E-Tongue for Honey Adulteration Detection.
    Ciursa P; Oroian M
    Sensors (Basel); 2021 Jul; 21(15):. PubMed ID: 34372298
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Characterization of Chinese rice wine taste attributes using liquid chromatographic analysis, sensory evaluation, and an electronic tongue.
    Yu H; Zhao J; Li F; Tian H; Ma X
    J Chromatogr B Analyt Technol Biomed Life Sci; 2015 Aug; 997():129-35. PubMed ID: 26113454
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Identification of the Rice Wines with Different Marked Ages by Electronic Nose Coupled with Smartphone and Cloud Storage Platform.
    Wei Z; Xiao X; Wang J; Wang H
    Sensors (Basel); 2017 Oct; 17(11):. PubMed ID: 29088076
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Rapid measuring and modelling flavour quality changes of oxidised chicken fat by electronic nose profiles through the partial least squares regression analysis.
    Song S; Yuan L; Zhang X; Hayat K; Chen H; Liu F; Xiao Z; Niu Y
    Food Chem; 2013 Dec; 141(4):4278-88. PubMed ID: 23993616
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Poly(p-phenyleneethynylene)-based tongues discriminate fruit juices.
    Han J; Wang B; Bender M; Seehafer K; Bunz UH
    Analyst; 2017 Jan; 142(3):537-543. PubMed ID: 28112310
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Qualitative identification of the edible oil storage period using a homemade portable electronic nose combined with multivariate analysis.
    Jiang H; He Y; Chen Q
    J Sci Food Agric; 2021 Jun; 101(8):3448-3456. PubMed ID: 33270243
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Anthocyanin and ascorbic acid degradation in sonicated strawberry juice.
    Tiwari BK; O'Donnell CP; Patras A; Cullen PJ
    J Agric Food Chem; 2008 Nov; 56(21):10071-7. PubMed ID: 18828602
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Milk Source Identification and Milk Quality Estimation Using an Electronic Nose and Machine Learning Techniques.
    Mu F; Gu Y; Zhang J; Zhang L
    Sensors (Basel); 2020 Jul; 20(15):. PubMed ID: 32751425
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A comparative investigation of modern feature selection and classification approaches for the analysis of mass spectrometry data.
    Gromski PS; Xu Y; Correa E; Ellis DI; Turner ML; Goodacre R
    Anal Chim Acta; 2014 Jun; 829():1-8. PubMed ID: 24856395
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.