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Type: Artigo de periódico
Title: Discrimination of arabica coffee cultivars by electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry and chemometrics
Author: Garrett, R
Schmidt, EM
Pereira, LFP
Kitzberger, CSG
Scholz, MBS
Eberlin, MN
Rezende, CM
Abstract: Green beans of Coffee arabica (arabica coffee) cultivars with Sarchimor and Catuai genetic background were grown under the same edaphoclimatic conditions, in two different regions, and analysed by direct-infusion electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry (ESI FT-ICR MS) followed by a metabolomic approach. A total of 20 coffee metabolites including phenolic compounds, fatty acids, sucrose, and diterpene glycosides were identified by negative ESI FT-ICR MS with a mass error <2 ppm. Furthermore, the multivariate data analysis techniques principal components analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) successfully discriminated the arabica coffee cultivars with Sarchimor from those with Catuai genetic background, and also revealed the correlations between the coffee metabolites with the arabica cultivars and their growing region. This methodology could be used to identify coffee cultivars according to their genetic background as well as coffees from different growing regions, being a valuable tool for traceability and certification processes. (C) 2012 Elsevier Ltd. All rights reserved.
Subject: Coffea arabica
Genetic background
Country: Holanda
Editor: Elsevier Science Bv
Citation: Lwt-food Science And Technology. Elsevier Science Bv, v. 50, n. 2, n. 496, n. 502, 2013.
Rights: fechado
Identifier DOI: 10.1016/j.lwt.2012.08.016
Date Issue: 2013
Appears in Collections:Unicamp - Artigos e Outros Documentos

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