Olfactory perceptual interactions of maltol with key food odorants in binary mixtures: Scatter matrix statistical analysis of odor intensity in heterogeneous perceptual situation.

Autor: Guan W; School of Light Industry, Beijing Technology & Business University, Beijing 100048, China; Beijing Key Laboratory of Flavor Chemistry, Beijing 100048, China., Xin R; School of Light Industry, Beijing Technology & Business University, Beijing 100048, China., Liang M; School of Light Industry, Beijing Technology & Business University, Beijing 100048, China., Zhou Y; School of Light Industry, Beijing Technology & Business University, Beijing 100048, China., Wang R; School of Light Industry, Beijing Technology & Business University, Beijing 100048, China., Liu Y; School of Light Industry, Beijing Technology & Business University, Beijing 100048, China; Beijing Key Laboratory of Flavor Chemistry, Beijing 100048, China. Electronic address: liuyp@th.btbu.edu.cn.
Jazyk: angličtina
Zdroj: Food chemistry [Food Chem] 2024 Oct 30; Vol. 456, pp. 139951. Date of Electronic Publication: 2024 Jun 01.
DOI: 10.1016/j.foodchem.2024.139951
Abstrakt: To study the olfactory perceptual interaction of odorants (OPIO) in binary mixtures containing maltol, a simple and efficient analysis method was developed. This method correlated three variables of the binary mixture: two rates of change in perceived odor intensities of two odorants within the binary mixtures, and the degree of overall odor synergy exhibited by the binary mixtures. By creating a three-dimensional scatter matrix with the variables, the changes in odor intensity of the binary mixture due to OPIO were visualized. The results revealed that the proportions of mutual antagonism, opposite effect, mutual independence, and mutual synergy in the binary mixtures were 64.7%, 32.9%, 1.9%, and 0.5%, respectively. The odor of maltol was mainly masked, and those of esters (68%), aldehydes and ketones (33%) in the mixture were enhanced. In terms of overall odor intensity, 67% of cases involved partial addition, followed by 22.2% overshadowing, and 19.6% stronger component effect.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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