Coffee variety, origin and extraction procedure: Implications for coffee beneficial effects on human health.


Journal

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

Informations de publication

Date de publication:
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

47-55

Informations de copyright

Copyright © 2018 Elsevier Ltd. All rights reserved.

Auteurs

Carlotta Ciaramelli (C)

Department of Biotechnologies and Biosciences, University of Milano-Bicocca, P.zza della Scienza 2, 20126 Milan, Italy. Electronic address: carlotta.ciaramelli@unimib.it.

Alessandro Palmioli (A)

Department of Biotechnologies and Biosciences, University of Milano-Bicocca, P.zza della Scienza 2, 20126 Milan, Italy. Electronic address: alessandro.palmioli@unimib.it.

Cristina Airoldi (C)

Department of Biotechnologies and Biosciences, University of Milano-Bicocca, P.zza della Scienza 2, 20126 Milan, Italy. Electronic address: cristina.airoldi@unimib.it.

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Classifications MeSH