Literature DB >> 18969991

Solid-phase microextraction-gas chromatography mass spectrometry and multivariate analysis for the characterization of roasted coffees.

Carlo G Zambonin1, Lydia Balest, Giuseppe E De Benedetto, Francesco Palmisano.   

Abstract

HS-SPME-GC-MS in combination with PCA was employed to discriminate different arabica/robusta blends having different geographical origins. HS-SPME confirmed to be an effective and reproducible sampling technique for routine characterization of coffees. In addition, the chemometric approach permitted to find parameters suitable for the differentiation of the different blends and the determination of the real quality of the products. Finally, the proposed methods have been successfully applied to some commercial coffee blends.

Year:  2004        PMID: 18969991     DOI: 10.1016/j.talanta.2004.11.023

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  5 in total

1.  Agarotetrol: a source compound for low molecular weight aromatic compounds from agarwood heating.

Authors:  Sakura Takamatsu; Michiho Ito
Journal:  J Nat Med       Date:  2018-02-20       Impact factor: 2.343

2.  Variability of single bean coffee volatile compounds of Arabica and robusta roasted coffees analysed by SPME-GC-MS.

Authors:  Nicola Caporaso; Martin B Whitworth; Chenhao Cui; Ian D Fisk
Journal:  Food Res Int       Date:  2018-04-03       Impact factor: 6.475

3.  Comparison of Attenuated Total Reflectance Mid-Infrared, Near Infrared, and 1H-Nuclear Magnetic Resonance Spectroscopies for the Determination of Coffee's Geographical Origin.

Authors:  Jessica Medina; Diana Caro Rodríguez; Victoria A Arana; Andrés Bernal; Pierre Esseiva; Julien Wist
Journal:  Int J Anal Chem       Date:  2017-11-01       Impact factor: 1.885

4.  Valorization of Spent Coffee Grounds as a Natural Source of Bioactive Compounds for Several Industrial Applications-A Volatilomic Approach.

Authors:  Carolina Andrade; Rosa Perestrelo; José S Câmara
Journal:  Foods       Date:  2022-06-13

5.  Classification of Coffee Beans by GC-C-IRMS, GC-MS, and (1)H-NMR.

Authors:  Victoria Andrea Arana; Jessica Medina; Pierre Esseiva; Diego Pazos; Julien Wist
Journal:  J Anal Methods Chem       Date:  2016-07-18       Impact factor: 2.193

  5 in total

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