These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

140 related articles for article (PubMed ID: 39403596)

  • 1. Characterization of defective coffee beans and blends differentiation based on
    Hu GL; Quan CX; Dai HP; Qiu MH
    Curr Res Food Sci; 2024; 9():100870. PubMed ID: 39403596
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The Authentication of Gayo Arabica Green Coffee Beans with Different Cherry Processing Methods Using Portable LED-Based Fluorescence Spectroscopy and Chemometrics Analysis.
    Yulia M; Analianasari A; Widodo S; Kusumiyati K; Naito H; Suhandy D
    Foods; 2023 Nov; 12(23):. PubMed ID: 38231760
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Volatile compounds as potential defective coffee beans' markers.
    Toci AT; Farah A
    Food Chem; 2008 Jun; 108(3):1133-41. PubMed ID: 26065781
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The use of multispectral imaging for the discrimination of Arabica and Robusta coffee beans.
    Mihailova A; Liebisch B; Islam MD; Carstensen JM; Cannavan A; Kelly SD
    Food Chem X; 2022 Jun; 14():100325. PubMed ID: 35586030
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The main effects of elevated CO
    Marcheafave GG; Tormena CD; Mattos LE; Liberatti VR; Ferrari ABS; Rakocevic M; Bruns RE; Scarminio IS; Pauli ED
    Sci Total Environ; 2020 Dec; 749():142350. PubMed ID: 33370915
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Homostachydrine (pipecolic acid betaine) as authentication marker of roasted blends of Coffea arabica and Coffea canephora (Robusta) beans.
    Servillo L; Giovane A; Casale R; Cautela D; D'Onofrio N; Balestrieri ML; Castaldo D
    Food Chem; 2016 Aug; 205():52-7. PubMed ID: 27006213
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of black, immature and sour defective beans in coffee blends by using Laser-Induced Breakdown Spectroscopy.
    Silva TV; Milori DMBP; Neto JAG; Ferreira EJ; Ferreira EC
    Food Chem; 2019 Apr; 278():223-227. PubMed ID: 30583366
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Excavation of coffee maturity markers and further research on their changes in coffee cherries of different maturity.
    Hu G; Peng X; Wang X; Li X; Li X; Qiu M
    Food Res Int; 2020 Jun; 132():109121. PubMed ID: 32331680
    [No Abstract]   [Full Text] [Related]  

  • 9. Evaluation of green coffee beans quality using near infrared spectroscopy: a quantitative approach.
    Santos JR; Sarraguça MC; Rangel AO; Lopes JA
    Food Chem; 2012 Dec; 135(3):1828-35. PubMed ID: 22953929
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of biochemical features of defective Coffea arabica L. beans.
    Casas MI; Vaughan MJ; Bonello P; McSpadden Gardener B; Grotewold E; Alonso AP
    Food Res Int; 2017 May; 95():59-67. PubMed ID: 28395826
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Steam pressure treatment of defective Coffea canephora beans improves the volatile profile and sensory acceptance of roasted coffee blends.
    Kalschne DL; Viegas MC; De Conti AJ; Corso MP; Benassi MT
    Food Res Int; 2018 Mar; 105():393-402. PubMed ID: 29433228
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Data on roasted coffee with specific defects analyzed by infrared-photoacoustic spectroscopy and chemometrics.
    Dias RCE; Valderrama P; Março PH; Dos Santos Scholz MB; Edelmann M; Yeretzian C
    Data Brief; 2018 Oct; 20():242-249. PubMed ID: 30140720
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of specialty coffee cup quality based on near infrared spectra of green coffee beans.
    Tolessa K; Rademaker M; De Baets B; Boeckx P
    Talanta; 2016 Apr; 150():367-74. PubMed ID: 26838420
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Rapid prediction of single green coffee bean moisture and lipid content by hyperspectral imaging.
    Caporaso N; Whitworth MB; Grebby S; Fisk ID
    J Food Eng; 2018 Jun; 227():18-29. PubMed ID: 29861528
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Liquid Chromatography-High-Resolution Mass Spectrometry (LC-HRMS) Fingerprinting and Chemometrics for Coffee Classification and Authentication.
    Núñez N; Saurina J; Núñez O
    Molecules; 2023 Dec; 29(1):. PubMed ID: 38202813
    [TBL] [Abstract][Full Text] [Related]  

  • 16. High-performance liquid chromatography with fluorescence detection fingerprints as chemical descriptors to authenticate the origin, variety and roasting degree of coffee by multivariate chemometric methods.
    Núñez N; Martínez C; Saurina J; Núñez O
    J Sci Food Agric; 2021 Jan; 101(1):65-73. PubMed ID: 32608518
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comprehensive analysis of quality characteristics in main commercial coffee varieties and wild Arabica in Kenya.
    Ogutu C; Cherono S; Ntini C; Wang L; Han Y
    Food Chem X; 2022 Jun; 14():100294. PubMed ID: 35356698
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Botanical and geographical characterization of green coffee (Coffea arabica and Coffea canephora): chemometric evaluation of phenolic and methylxanthine contents.
    Alonso-Salces RM; Serra F; Reniero F; Héberger K
    J Agric Food Chem; 2009 May; 57(10):4224-35. PubMed ID: 19298065
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Determination of the Geographical Origin of Coffee Beans Using Terahertz Spectroscopy Combined With Machine Learning Methods.
    Yang S; Li C; Mei Y; Liu W; Liu R; Chen W; Han D; Xu K
    Front Nutr; 2021; 8():680627. PubMed ID: 34222305
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Chemical characterisation of non-defective and defective green arabica and robusta coffees by electrospray ionization-mass spectrometry (ESI-MS).
    Mendonça JC; Franca AS; Oliveira LS; Nunes M
    Food Chem; 2008 Nov; 111(2):490-7. PubMed ID: 26047455
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.