定量描述分析
感觉系统
感官分析
主成分分析
模式识别(心理学)
食品科学
数学
甜蜜
品味
线性判别分析
人工智能
普鲁克分析
风味
回味
描述性统计
计算机科学
统计分析
质量(理念)
判别式
词典
聚类分析
作者
Bo Li,Yuanhui Wang,Hang Xu,Yixian Zhao,Xiaokang Wang,Yixi Yang,Qi Zhang,Guobi Chai,Chunqiang Yang,Chen Chen,Guoqiang Zhang,Juntao Sun,H Michael Zhang
标识
DOI:10.1111/1750-3841.71147
摘要
Chinese baked roll (CBR) is a traditional Chinese staple food. A comprehensive sensory evaluation of 20 commercial CBRs was conducted using quantitative descriptive analysis (QDA) in this study. Twenty samples of CBR were evaluated by a trained sensory panel (n = 25) to establish quantitative descriptive terminology consisting of 14 sensory attributes, including 6 odor descriptors, 6 taste and flavor descriptors, and 2 aftertaste attributes. QDA results indicated that each attribute was significantly different and could be used to describe the sensory characteristics of CBR. Principal component analysis (PCA) and cluster analysis showed that the 20 samples could be divided into four clusters based on their comprehensive sensory profiles. In conclusion, caramel flavor, roasted sesame odor, mixed spice odor, yeast odor, roast flavor, salty taste, and sweet taste are characteristic attributes for differentiating the sensory quality of CBR. Multivariate statistical analysis confirmed the robustness and discriminative validity of the developed sensory lexicon, with consistent clustering patterns observed across PCA and hierarchical cluster analysis (HCA). Samples (ZZ3, KF4, SQ1, and ZK4) exhibited notably high scores in sweet-related attributes, while samples (ZZ1, KF2, and SQ2) showed high scores in roasted sesame and mixed spice odors. The sensory evaluation approach applied in this study was effective for characterizing and differentiating CBR sensory profiles. PRACTICAL APPLICATIONS: A sensory evaluation framework for Chinese baked rolls (CBRs) enables manufacturers to better control sensory quality and enhance product consistency. The developed sensory attribute wheel also facilitates the creation of consumer-targeted products tailored to regional taste preferences.
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