Coffee variety, origin and extraction procedure: Implications for coffee beneficial effects on human health.
Antioxidant capacity
Arabica and Robusta coffee
Chlorogenic acids
Coffee origin
Green coffee beans
Melanoidins
NMR metabolic profiling
Roasted coffee beans
Journal
Food chemistry
ISSN: 1873-7072
Titre abrégé: Food Chem
Pays: England
ID NLM: 7702639
Informations de publication
Date de publication:
25 Apr 2019
25 Apr 2019
Historique:
received:
14
07
2018
revised:
01
10
2018
accepted:
11
11
2018
entrez:
26
12
2018
pubmed:
26
12
2018
medline:
7
2
2019
Statut:
ppublish
Résumé
We set up an efficient protocol for the rapid analysis of NMR spectra of green and roasted coffee extracts, enabling the automatic identification and quantification of metabolites in approximately two minutes per spectrum. This method allowed for the metabolic profiling and the subsequent evaluation of the content of bioactive compounds and antioxidant activity of coffee samples, depending on their species (Arabica and Robusta), geographical origin and extraction procedure (hydroalcoholic, espresso and moka). The hydroalcoholic extraction is the most efficient method in terms of yields of low molecular weight compounds (in particular chlorogenic acids), while moka extraction provides the highest amounts of melanoidins. Moreover, that the ratio between health-giving compounds (chlorogenic acids, trigonelline and choline) and caffeine is higher in Arabica coffees. The data collected provide useful insights for the selection of coffee raw material to be used in the preparation of coffee-based dietary supplements, nutraceuticals and functional beverages.
Identifiants
pubmed: 30583399
pii: S0308-8146(18)32001-6
doi: 10.1016/j.foodchem.2018.11.063
pii:
doi:
Substances chimiques
Alkaloids
0
Antioxidants
0
Coffee
0
Polymers
0
melanoidin polymers
0
Chlorogenic Acid
318ADP12RI
Caffeine
3G6A5W338E
trigonelline
3NQ9N60I00
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
47-55Informations de copyright
Copyright © 2018 Elsevier Ltd. All rights reserved.