PTR-QiToF-MS and HSI for the characterization of fermented cocoa beans from different origins.


Journal

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

Informations de publication

Date de publication:
15 Aug 2019
Historique:
received: 03 09 2018
revised: 13 03 2019
accepted: 19 03 2019
entrez: 9 4 2019
pubmed: 9 4 2019
medline: 10 8 2019
Statut: ppublish

Résumé

The wide range of geographical cocoa production areas and the increasing consumption trend towards single origin products induced the necessity to verify and certify cocoa beans origin for quality assurance purposes. In this study cocoa beans of various origins were examined by machine olfaction and machine vision techniques. Fifty-nine fermented and dried Forastero cocoa beans from 23 different geographical origins (Africa, Americas, Southeast Asia) were investigated using Proton Transfer Reaction-Quadrupole interface-Time of Flight-Mass Spectrometry and Hyperspectral Imaging to elucidate the geographical information in the beans. The volatile and spectral fingerprints showed the same tendency in clustering samples from Africa separate from those from the Americas. High variability was observed for the Southeast Asian samples, which is most likely related to differences in fermentation. Machine olfaction and machine vision characterization provided a similar degree of separation but are complementary rapid techniques, which may be further developed for use in practical settings.

Identifiants

pubmed: 30955653
pii: S0308-8146(19)30580-1
doi: 10.1016/j.foodchem.2019.03.095
pii:
doi:

Substances chimiques

Volatile Organic Compounds 0

Types de publication

Journal Article

Langues

eng

Pagination

591-602

Informations de copyright

Copyright © 2019. Published by Elsevier Ltd.

Auteurs

Valentina Acierno (V)

RIKILT Wageningen University and Research, P.O. Box 230, 6700 AE Wageningen, The Netherlands; Food Quality and Design Group, Wageningen University and Research, P.O. Box 17, 6700 AA Wageningen, The Netherlands. Electronic address: valentina.acierno@wur.nl.

Giorgia Fasciani (G)

RIKILT Wageningen University and Research, P.O. Box 230, 6700 AE Wageningen, The Netherlands; Department of Food Science, University of Parma, Parco Area delle Scienze 17/A, 43124 Parma, Italy.

Sajad Kiani (S)

RIKILT Wageningen University and Research, P.O. Box 230, 6700 AE Wageningen, The Netherlands; Biosystems Engineering Department, Tarbiat Modares University, Tehran, Iran.

Augusta Caligiani (A)

Department of Food Science, University of Parma, Parco Area delle Scienze 17/A, 43124 Parma, Italy.

Saskia van Ruth (S)

RIKILT Wageningen University and Research, P.O. Box 230, 6700 AE Wageningen, The Netherlands; Food Quality and Design Group, Wageningen University and Research, P.O. Box 17, 6700 AA Wageningen, The Netherlands.

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Classifications MeSH