Chemical characterization of aromas in beer and their effect on consumers liking.


Journal

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

Informations de publication

Date de publication:
30 Sep 2019
Historique:
received: 03 02 2019
revised: 27 04 2019
accepted: 28 04 2019
entrez: 2 6 2019
pubmed: 4 6 2019
medline: 8 8 2019
Statut: ppublish

Résumé

Identification of volatiles in beer is important for consumers acceptability. In this study, triplicates of 24 beers from three types of fermentation (top/bottom/spontaneous) were analyzed using Gas Chromatograph with Mass-Selective Detector (GC-MSD) employing solid-phase microextraction (SPME). Principal components analysis was conducted for each type of fermentation. Multiple regression analysis, and an artificial neutral network model (ANN) were developed with the peak-areas of 10 volatiles to evaluate/predict aroma, flavor and overall liking. There were no hops-derived volatiles in bottom-fermentation beers, but they were present in top and spontaneous. Top and spontaneous had more volatiles than bottom-fermentation. 4-Ethyguaiacol and trans-β-ionone were positive towards aroma, flavor and overall liking. Styrene had a negative effect on aroma, flavor and overall liking. An ANN model with high accuracy (R = 0.98) was obtained to predict aroma, flavor and overall liking. The use of SPME-GC-MSD is an effective method to detect volatiles in beers that contribute to acceptability.

Identifiants

pubmed: 31151637
pii: S0308-8146(19)30778-2
doi: 10.1016/j.foodchem.2019.04.114
pii:
doi:

Substances chimiques

Flavoring Agents 0
Volatile Organic Compounds 0

Types de publication

Journal Article

Langues

eng

Pagination

479-485

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Claudia Gonzalez Viejo (C)

University of Melbourne, School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, VIC 3010, Australia.

Sigfredo Fuentes (S)

University of Melbourne, School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, VIC 3010, Australia. Electronic address: sfuentes@unimelb.edu.au.

Damir D Torrico (DD)

University of Melbourne, School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, VIC 3010, Australia.

Amruta Godbole (A)

University of Melbourne, School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, VIC 3010, Australia.

Frank R Dunshea (FR)

University of Melbourne, School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, VIC 3010, Australia.

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Classifications MeSH