Literature DB >> 22953895

Authentication of Italian Espresso coffee blends through the GC peak ratio between kahweol and 16-O-methylcafestol.

Deborah Pacetti1, Emanuele Boselli, Michele Balzano, Natale G Frega.   

Abstract

Since the price of Arabica is currently more than twice higher than Robusta, a rapid and reliable method for the determination of the roasted coffee blend composition is fundamental for the authentication of commercial blends used for the Italian Espresso coffee. A GC-FID method based on the ratio between the integrated peak areas of kahweol (K) divided by the sum of K and 16-O-methylcafestol (16MCF) was developed. No internal/external standard was used. Moreover, the quantitation of the unsaponifiable compounds is not necessary, as well as the calculation of any response factors. The percentage of Robusta in 34 samples of coffee blends with known composition, and in 48 samples of pure varieties was used to build a cubic polynomial function with R(2)=0.998. The roasting conditions did not affect the results. Considering eight commercial blends (ranging 0-90% Robusta), no significant difference (two-tailed P=0.817) was registered between the claimed and the predicted composition.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22953895     DOI: 10.1016/j.foodchem.2012.06.007

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  2 in total

1.  16-O-methylcafestol is present in ground roast Arabica coffees: Implications for authenticity testing.

Authors:  Yvonne Gunning; Marianne Defernez; Andrew D Watson; Niles Beadman; Ian J Colquhoun; Gwénaëlle Le Gall; Mark Philo; Hollie Garwood; David Williamson; Aaron P Davis; E Kate Kemsley
Journal:  Food Chem       Date:  2017-12-11       Impact factor: 7.514

2.  Authentication of Coffea arabica according to Triacylglycerol Stereospecific Composition.

Authors:  L Cossignani; D Montesano; M S Simonetti; F Blasi
Journal:  J Anal Methods Chem       Date:  2016-07-28       Impact factor: 2.193

  2 in total

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