Beer and Consumer Response Using Biometrics: Associations Assessment of Beer Compounds and Elicited Emotions.

beer consumption beer styles happiness hordenine sensory analysis

Journal

Foods (Basel, Switzerland)
ISSN: 2304-8158
Titre abrégé: Foods
Pays: Switzerland
ID NLM: 101670569

Informations de publication

Date de publication:
22 Jun 2020
Historique:
received: 04 06 2020
revised: 13 06 2020
accepted: 17 06 2020
entrez: 26 6 2020
pubmed: 26 6 2020
medline: 26 6 2020
Statut: epublish

Résumé

Some chemical compounds, especially alcohol, sugars, and alkaloids such as hordenine, have been reported as elicitors of different emotional responses. This preliminary study was based on six commercial beers selected according to their fermentation type, with two beers of each type (spontaneous, bottom, and top). Chemometry and sensory analysis were performed for all samples to determine relationships and patterns between chemical composition and emotional responses from consumers. The results showed that sweeter samples were associated with higher perceived liking by consumers and positive emotions, which corresponded to spontaneous fermentation beers. There was high correlation (

Identifiants

pubmed: 32580405
pii: foods9060821
doi: 10.3390/foods9060821
pmc: PMC7353658
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Universitas 21
ID : 2018
Organisme : Consejo Nacional de Ciencia y Tecnología
ID : 359813
Organisme : Consejo Nacional de Ciencia y Tecnología
ID : 560895

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Auteurs

Claudia Gonzalez Viejo (C)

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

Raúl Villarreal-Lara (R)

Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501, Monterrey 64849, N.L., Mexico.
SensoLab Solutions, Centro de Innovación y Transferencia Tecnológica (CIT2), Ave. Eugenio Garza Sada #427 Col. Altavista, Monterrey 64849, N.L., Mexico.

Damir D Torrico (DD)

Department of Wine, Food and Molecular Biosciences, Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln 7647, New Zealand.

Yaressi G Rodríguez-Velazco (YG)

Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501, Monterrey 64849, N.L., Mexico.

Zamantha Escobedo-Avellaneda (Z)

Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501, Monterrey 64849, N.L., Mexico.

Perla A Ramos-Parra (PA)

Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501, Monterrey 64849, N.L., Mexico.

Ronit Mandal (R)

Food, Nutrition, and Health, Faculty of Land and Food Systems, University of British Columbia, 2205, East Mall, Vancouver, BC V6T 1W4, Canada.

Anubhav Pratap Singh (A)

Food, Nutrition, and Health, Faculty of Land and Food Systems, University of British Columbia, 2205, East Mall, Vancouver, BC V6T 1W4, Canada.

Carmen Hernández-Brenes (C)

Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501, Monterrey 64849, N.L., Mexico.

Sigfredo Fuentes (S)

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

Classifications MeSH