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 *

190 related articles for article (PubMed ID: 31960433)

  • 1. Determination of pH and acidity in green coffee using near-infrared spectroscopy and multivariate regression.
    Araújo CDS; Macedo LL; Vimercati WC; Ferreira A; Prezotti LC; Saraiva SH
    J Sci Food Agric; 2020 Apr; 100(6):2488-2493. PubMed ID: 31960433
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation of chemical properties of intact green coffee beans using near-infrared spectroscopy.
    Levate Macedo L; da Silva Araújo C; Costa Vimercati W; Gherardi Hein PR; Pimenta CJ; Henriques Saraiva S
    J Sci Food Agric; 2021 Jun; 101(8):3500-3507. PubMed ID: 33274765
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Brazilian Coffee Blends: A Simple and Fast Method by Near-Infrared Spectroscopy for the Determination of the Sensory Attributes Elicited in Professional Coffee Cupping.
    Baqueta MR; Coqueiro A; Valderrama P
    J Food Sci; 2019 Jun; 84(6):1247-1255. PubMed ID: 31116425
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Improvement of near infrared spectroscopic (NIRS) analysis of caffeine in roasted Arabica coffee by variable selection method of stability competitive adaptive reweighted sampling (SCARS).
    Zhang X; Li W; Yin B; Chen W; Kelly DP; Wang X; Zheng K; Du Y
    Spectrochim Acta A Mol Biomol Spectrosc; 2013 Oct; 114():350-6. PubMed ID: 23786975
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Near-infrared spectroscopy and multivariate calibration as an alternative to the Agtron to predict roasting degrees in coffee beans and ground coffees.
    Pires FC; Pereira RGFA; Baqueta MR; Valderrama P; Alves da Rocha R
    Food Chem; 2021 Dec; 365():130471. PubMed ID: 34252622
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Non-destructive analysis of sucrose, caffeine and trigonelline on single green coffee beans by hyperspectral imaging.
    Caporaso N; Whitworth MB; Grebby S; Fisk ID
    Food Res Int; 2018 Apr; 106():193-203. PubMed ID: 29579918
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Portable near infrared spectroscopy applied to quality control of Brazilian coffee.
    Correia RM; Tosato F; Domingos E; Rodrigues RRT; Aquino LFM; Filgueiras PR; Lacerda V; Romão W
    Talanta; 2018 Jan; 176():59-68. PubMed ID: 28917795
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Utilization of FT-NIR Spectroscopy to Check Acidity of Various Types of Cheeses.
    Sustova K; Mlcek J; Luzova T; Kuchtik J
    J AOAC Int; 2019 May; 102(3):893-897. PubMed ID: 30305204
    [No Abstract]   [Full Text] [Related]  

  • 11. Qualitative and quantitative analysis of ochratoxin A contamination in green coffee beans using Fourier transform near infrared spectroscopy.
    Taradolsirithitikul P; Sirisomboon P; Dachoupakan Sirisomboon C
    J Sci Food Agric; 2017 Mar; 97(4):1260-1266. PubMed ID: 27324609
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Classification of structurally related commercial contrast media by near infrared spectroscopy.
    Yip WL; Soosainather TC; Dyrstad K; Sande SA
    J Pharm Biomed Anal; 2014 Mar; 90():148-60. PubMed ID: 24374816
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Quantitative evaluation of multiple adulterants in roasted coffee by Diffuse Reflectance Infrared Fourier Transform Spectroscopy (DRIFTS) and chemometrics.
    Reis N; Franca AS; Oliveira LS
    Talanta; 2013 Oct; 115():563-8. PubMed ID: 24054633
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Comparison of PLS and SMLR for nondestructive determination of sugar content in honey peach using NIRS].
    Xu HR; Wang HJ; Huang K; Ying YB; Yang C; Qian H; Hu J
    Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Nov; 28(11):2523-6. PubMed ID: 19271481
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Rapid Determination of Wine Grape Maturity Level from pH, Titratable Acidity, and Sugar Content Using Non-Destructive In Situ Infrared Spectroscopy and Multi-Head Attention Convolutional Neural Networks.
    Kalopesa E; Gkrimpizis T; Samarinas N; Tsakiridis NL; Zalidis GC
    Sensors (Basel); 2023 Nov; 23(23):. PubMed ID: 38067909
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Determination of total polyphenols content in green tea using FT-NIR spectroscopy and different PLS algorithms.
    Chen Q; Zhao J; Liu M; Cai J; Liu J
    J Pharm Biomed Anal; 2008 Feb; 46(3):568-73. PubMed ID: 18068323
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Discrimination between washed Arabica, natural Arabica and Robusta coffees by using near infrared spectroscopy, electronic nose and electronic tongue analysis.
    Buratti S; Sinelli N; Bertone E; Venturello A; Casiraghi E; Geobaldo F
    J Sci Food Agric; 2015 Aug; 95(11):2192-200. PubMed ID: 25258213
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Fourier transform infrared spectroscopy and near infrared spectroscopy for the quantification of defects in roasted coffees.
    Craig AP; Franca AS; Oliveira LS; Irudayaraj J; Ileleji K
    Talanta; 2015 Mar; 134():379-386. PubMed ID: 25618683
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Rapid Prediction of Moisture Content in Intact Green Coffee Beans Using Near Infrared Spectroscopy.
    Adnan A; Hörsten DV; Pawelzik E; Mörlein AD
    Foods; 2017 May; 6(5):. PubMed ID: 28534842
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Near infrared spectroscopy: an analytical tool to predict coffee roasting degree.
    Alessandrini L; Romani S; Pinnavaia G; Dalla Rosa M
    Anal Chim Acta; 2008 Sep; 625(1):95-102. PubMed ID: 18721545
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.