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 *

103 related articles for article (PubMed ID: 19071292)

  • 1. Coffee varietal differentiation based on near infrared spectroscopy.
    Esteban-Díez I; González-Sáiz JM; Sáenz-González C; Pizarro C
    Talanta; 2007 Jan; 71(1):221-9. PubMed ID: 19071292
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Mixture resolution according to the percentage of robusta variety in order to detect adulteration in roasted coffee by near infrared spectroscopy.
    Pizarro C; Esteban-Díez I; González-Sáiz JM
    Anal Chim Acta; 2007 Mar; 585(2):266-76. PubMed ID: 17386674
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Classification of wine and alcohol vinegar samples based on near-infrared spectroscopy. Feasibility study on the detection of adulterated vinegar samples.
    Saiz-Abajo MJ; Gonzales-Saiz JM; Pizarro C
    J Agric Food Chem; 2004 Dec; 52(25):7711-9. PubMed ID: 15675824
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Orthogonal signal correction applied to the classification of wine and molasses vinegar samples by near-infrared spectroscopy. Feasibility study for the detection and quantification of adulterated vinegar samples.
    Sáiz-Abajo MJ; González-Sáiz JM; Pizarro C
    Anal Bioanal Chem; 2005 May; 382(2):412-20. PubMed ID: 15864497
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Direct orthogonal signal correction as data pretreatment in the classification of clinical lots of creams from near infrared spectroscopy data.
    Luypaert J; Heuerding S; Massart DL; Heyden YV
    Anal Chim Acta; 2007 Jan; 582(1):181-9. PubMed ID: 17386491
    [TBL] [Abstract][Full Text] [Related]  

  • 6. NIRS and Aquaphotomics Trace Robusta-to-Arabica Ratio in Liquid Coffee Blends.
    Aouadi B; Vitalis F; Bodor Z; Zinia Zaukuu JL; Kertesz I; Kovacs Z
    Molecules; 2022 Jan; 27(2):. PubMed ID: 35056707
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Assessing the Levels of Robusta and Arabica in Roasted Ground Coffee Using NIR Hyperspectral Imaging and FTIR Spectroscopy.
    Sahachairungrueng W; Meechan C; Veerachat N; Thompson AK; Teerachaichayut S
    Foods; 2022 Oct; 11(19):. PubMed ID: 36230198
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Transfer of multivariate classification models between laboratory and process near-infrared spectrometers for the discrimination of green Arabica and Robusta coffee beans.
    Myles AJ; Zimmerman TA; Brown SD
    Appl Spectrosc; 2006 Oct; 60(10):1198-203. PubMed ID: 17059674
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Chemometric models for the quantitative descriptive sensory analysis of Arabica coffee beverages using near infrared spectroscopy.
    Ribeiro JS; Ferreira MM; Salva TJ
    Talanta; 2011 Feb; 83(5):1352-8. PubMed ID: 21238720
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. Detection of addition of barley to coffee using near infrared spectroscopy and chemometric techniques.
    Ebrahimi-Najafabadi H; Leardi R; Oliveri P; Casolino MC; Jalali-Heravi M; Lanteri S
    Talanta; 2012 Sep; 99():175-9. PubMed ID: 22967538
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Near-Infrared Spectroscopy Applied to the Detection of Multiple Adulterants in Roasted and Ground Arabica Coffee.
    de Carvalho Couto C; Freitas-Silva O; Morais Oliveira EM; Sousa C; Casal S
    Foods; 2021 Dec; 11(1):. PubMed ID: 35010188
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Authentication of Italian Espresso coffee blends through the GC peak ratio between kahweol and 16-O-methylcafestol.
    Pacetti D; Boselli E; Balzano M; Frega NG
    Food Chem; 2012 Dec; 135(3):1569-74. PubMed ID: 22953895
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [Application of DOSC combined with SBC in batches transfer of NIR quantitative model].
    Jia YF; Zhang YY; Xu B; Wang AD; Zhan XY
    Zhongguo Zhong Yao Za Zhi; 2017 Jun; 42(12):2298-2304. PubMed ID: 28822183
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A data fusion model merging information from near infrared spectroscopy and X-ray fluorescence. Searching for atomic-molecular correlations to predict and characterize the composition of coffee blends.
    Assis C; Gama EM; Nascentes CC; de Oliveira LS; Anzanello MJ; Sena MM
    Food Chem; 2020 Apr; 325():126953. PubMed ID: 32387940
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Use of near-infrared spectroscopy and feature selection techniques for predicting the caffeine content and roasting color in roasted coffees.
    Pizarro C; Esteban-Díez I; González-Sáiz JM; Forina M
    J Agric Food Chem; 2007 Sep; 55(18):7477-88. PubMed ID: 17696359
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Feasibility study on the use of visible and near-infrared spectroscopy together with chemometrics to discriminate between commercial white wines of different varietal origins.
    Cozzolino D; Smyth HE; Gishen M
    J Agric Food Chem; 2003 Dec; 51(26):7703-8. PubMed ID: 14664532
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Quantification of the Robusta fraction in a coffee blend via Raman spectroscopy: proof of principle.
    Wermelinger T; D'Ambrosio L; Klopprogge B; Yeretzian C
    J Agric Food Chem; 2011 Sep; 59(17):9074-9. PubMed ID: 21830792
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.