Evaluation of the perceptual interaction among key aroma compounds in milk fan by gas chromatography-olfactometry, odor threshold, and sensory analyses.

Feller's additive model and σ-τ diagram aroma addition experiment key aroma compound milk fan perceptual interaction

Journal

Journal of dairy science
ISSN: 1525-3198
Titre abrégé: J Dairy Sci
Pays: United States
ID NLM: 2985126R

Informations de publication

Date de publication:
Jul 2020
Historique:
received: 09 11 2019
accepted: 15 03 2020
pubmed: 26 5 2020
medline: 29 10 2020
entrez: 26 5 2020
Statut: ppublish

Résumé

To evaluate the perceptual interactions among key aroma compounds found in milk fan, propanoic acid, butanoic acid, octanoic acid, octanal, nonanal, 2-nonanone, and ethyl hexanoate were analyzed by threshold values, aroma addition experiments (subthreshold), Feller's additive model (threshold), and σ-τ diagrams (threshold and superthreshold) at various concentrations. Aroma addition experiments highlighted that 7 key aroma compounds had significant effects on the aroma intensity of the sensory attributes of milk fan at the concentrations measured in a milk fan sample, and they might have synergistic effects with other compounds. The components of the 7 aroma compounds in binary mixtures showed synergistic effects from 21 binary mixtures by Feller's additive model. The components of 9 mixtures showed synergistic effects in the superadditive region (σ > 1.05), and 3 mixtures showed additive effects in the additive region (0.95 < σ < 1.05) of the σ-τ diagrams for all 168 binary mixtures. The results showed that perceptual interactions among the key aroma compounds in milk fan vary with different concentrations and threshold ratios. These results are helpful for further understanding the aroma of milk fan and improving the quality of its aroma.

Identifiants

pubmed: 32448580
pii: S0022-0302(20)30381-7
doi: 10.3168/jds.2019-17880
pii:
doi:

Substances chimiques

Volatile Organic Compounds 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

5863-5873

Informations de copyright

Copyright © 2020 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Auteurs

Huaixiang Tian (H)

Department of Food Science and Technology, Shanghai Institute of Technology, Shanghai 201418, China.

Xiaolin Xu (X)

Department of Food Science and Technology, Shanghai Institute of Technology, Shanghai 201418, China.

Xuefeng Sun (X)

Department of Food Science and Technology, Shanghai Institute of Technology, Shanghai 201418, China.

Chen Chen (C)

Department of Food Science and Technology, Shanghai Institute of Technology, Shanghai 201418, China.

Haiyan Yu (H)

Department of Food Science and Technology, Shanghai Institute of Technology, Shanghai 201418, China. Electronic address: hyyu@sit.edu.cn.

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Classifications MeSH