Chemical and sensory profile of new genotypes of Brazilian Coffea canephora.


Journal

Food chemistry
ISSN: 1873-7072
Titre abrégé: Food Chem
Pays: England
ID NLM: 7702639

Informations de publication

Date de publication:
25 Apr 2020
Historique:
received: 08 07 2019
revised: 28 10 2019
accepted: 31 10 2019
pubmed: 28 11 2019
medline: 3 4 2020
entrez: 28 11 2019
Statut: ppublish

Résumé

The study of Brazilian Conilon coffee genotypes with unknown chemical composition and sensory quality is extremely important since these data may contribute to the launching of new coffee cultivars in the international market with high cup quality. The present study aimed to investigate the metabolic profile of 3 genotypes of Conilon and compared them to Robusta Tropical and Arabica coffees, all collected at 3 different levels of ripeness. The extracts were analysed by ESI-LTQ-ORBITRAP, and 11 attributes were evaluated by sensory analysis. To correlate sensory, composition and maturation, chemometric analysis was used. The metabolites trigonelline, caffeine, caffeoylquinic acid and sugars revealed higher concentrations in genotypes 105 and 108. According to the sensorial analysis, genotype 108 showed the highest final score (82), which was even higher than the Arabica coffees. Among the new coffees studied, genotype 108 presented promising characteristics, sparking interest in its national and international commercialization.

Identifiants

pubmed: 31771915
pii: S0308-8146(19)31985-5
doi: 10.1016/j.foodchem.2019.125850
pii:
doi:

Substances chimiques

Alkaloids 0
caffeoylquinic acid 0
Quinic Acid 058C04BGYI
Caffeine 3G6A5W338E
trigonelline 3NQ9N60I00

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

125850

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Mayara Fumiere Lemos (MF)

Pharmaceutical Sciences Graduate Program, Universidade Vila Velha, Espírito Santo, Brazil.

Consuelo Perez (C)

Centre for Research in Mass Spectrometry, York University, M3J1P3 Toronto, Ontario, Canada.

Pedro Henrique Pereira da Cunha (PHP)

Chemistry Department, Federal University of Espírito Santo, Vitória, Espírito Santo, Brazil.

Paulo Roberto Filgueiras (PR)

Chemistry Department, Federal University of Espírito Santo, Vitória, Espírito Santo, Brazil.

Lucas Louzada Pereira (LL)

Food Science and Technology Program, Federal Institute of Espírito Santo, Venda Nova do Imigrante, Espírito Santo, Brazil.

Aymbiré Francisco Almeida da Fonseca (AF)

Empresa Brasileira de Pesquisa Agropecuária/Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural, Vitória, Espírito Santo, Brazil.

Demian R Ifa (DR)

Centre for Research in Mass Spectrometry, York University, M3J1P3 Toronto, Ontario, Canada.

Rodrigo Scherer (R)

Pharmaceutical Sciences Graduate Program, Universidade Vila Velha, Espírito Santo, Brazil. Electronic address: rodrigo.scherer@uvv.br.

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Classifications MeSH