Impact of Flavor Factorized by Alcohol Level and Flavor Type on ‘Beer Refreshing Perception’ in a Model Study and the Exploration of Sensory Drivers for ‘Refreshing’

风味 食品科学 感知 品味 心理学 感觉系统 数学 化学 认知心理学 生物化学 神经科学
作者
Amy Hampton,Phạm Thị Thúy,Xiaofen Du
出处
期刊:Journal of The American Society of Brewing Chemists [Taylor & Francis]
卷期号:: 1-14
标识
DOI:10.1080/03610470.2023.2193792
摘要

One key reason consumers enjoy beer is for its perceived refreshing characteristics; however, understanding the refreshing perception of beer is very limited. This study aimed to 1) investigate the impact of flavor traits factorized with alcohol levels (0%, 2.5%, 5.0%, 7.5% abv) and flavor types (citrus, cucumber, lime) on the liking and intensity of refreshing perception and other sensory attributes, and 2) explore the sensory drivers for refreshing perception of the flavored beers. The consumer test was divided into three sessions, with beer users n = 114, 105, and 103, respectively. The results showed 1) the refreshing liking and intensity were above the middle point of the scale for the flavored beers with ≤ 5.0% abv. Alcohol level showed a negative impact on refreshing liking and intensity. 2) Refreshing liking was positively correlated to the liking of six flavor attributes. The alcohol level was a determining factor influencing the hedonic ratings. 3) Both alcohol level and flavor type significantly increased the intensity of five sensory attributes. All six attribute intensities had significant penalization on refreshing liking and intensity. 4) CATA (check-all-that-apply) with ten descriptors further characterized the sensory profile of flavored beers, with their corresponding tested flavors being the most important, followed by clean and crisp flavors. 5) Refreshing intensity was positively driven by carbonation, clean, crisp flavors, and negatively driven by the flavor intensities in general, as well as sourness, astringency, and bitterness. This study demonstrated flavor drivers for beer refreshing perception, creating opportunities for new beer product development.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
刚刚
刚刚
1秒前
1秒前
1秒前
1秒前
sunnio发布了新的文献求助30
1秒前
1秒前
zoe发布了新的文献求助10
2秒前
852应助ZZZzzz采纳,获得10
2秒前
丘比特应助传统的元霜采纳,获得10
3秒前
Simple发布了新的文献求助10
3秒前
3秒前
4秒前
5秒前
5秒前
5秒前
5秒前
5秒前
6秒前
杨zy发布了新的文献求助10
6秒前
8秒前
9秒前
9秒前
潇洒的惋清发布了新的文献求助200
9秒前
10秒前
行者发布了新的文献求助10
10秒前
打打应助黎黎采纳,获得10
10秒前
南辞完成签到 ,获得积分10
10秒前
11秒前
12秒前
南忆发布了新的文献求助10
15秒前
陈巧玲完成签到,获得积分10
15秒前
lixinglei应助Clover采纳,获得20
15秒前
16秒前
xiaoiao发布了新的文献求助10
16秒前
JamesPei应助Lucas采纳,获得10
16秒前
xing完成签到 ,获得积分10
16秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 2000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7554497
求助须知:如何正确求助?哪些是违规求助? 9137007
关于积分的说明 19528500
捐赠科研通 7145843
什么是DOI,文献DOI怎么找? 3260870
关于科研通互助平台的介绍 2427315
邀请新用户注册赠送积分活动 2249867