Comparison of flavor components between normal and gas-producing wasabi based on HS-GC-IMS, HS-GC-MS and electronic sensory technology

IF 2.6 3区 化学 Q2 CHEMISTRY, ANALYTICAL Analytical Methods Pub Date : 2025-01-21 DOI:10.1039/D4AY01993H
Xiao Liu, Ling-Xiao Liu, Qin-Guo Xu, Xiao-Jie Hu and Yun-Guo Liu
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Abstract

Wasabi is a type of sauce made from the plant horseradish. During its production and storage, gas production sometimes occurs, which leads to changes in the flavor quality of wasabi. In this study, an electronic nose, electronic tongue, headspace-gas chromatography-mass spectrometry and headspace-gas chromatography-ion mobility spectrometry combined with multivariate statistical analysis were used to compare the differences in odor, taste and volatile components between normal and gas-producing wasabi. The results showed that normal and gas-producing wasabi samples could be distinguished by the electronic nose and electronic tongue. Furthermore, 72 and 65 volatile components were identified from wasabi by headspace-gas chromatography-mass spectrometry and headspace-gas chromatography-ion mobility spectrometry analysis, respectively. In addition, 33 key volatile components that caused the difference between normal and gas-producing wasabi were identified through variable projection importance index analysis. Therefore, normal and gas-producing wasabi could be effectively distinguished and their differences in odor, taste and volatile components could be clarified by the four flavor analysis techniques combined with multivariate statistical analysis, which provide a scientific basis for the quality control and process optimization of wasabi.

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基于HS-GC-IMS、HS-GC-MS和电子传感技术的普通山葵与产气山葵风味成分比较
山葵是一种由植物辣根制成的酱。在山葵的生产和储存过程中,有时会产生气体,导致山葵的风味品质发生变化。本研究采用电子鼻、电子舌、顶空-气相色谱-质谱、顶空-气相色谱-离子迁移率谱结合多元统计分析,比较了普通山葵和产气山葵在气味、口感和挥发性成分方面的差异。结果表明,电子鼻和电子舌可以区分正常和产气的山葵样品。利用顶空-气相色谱-质谱联用和顶空-气相色谱-离子迁移率谱联用分别鉴定出山葵中72种和65种挥发性成分。此外,通过变量投影重要性指数分析,确定了33种导致正常山葵与产气山葵差异的关键挥发性成分。因此,将四种风味分析技术与多元统计分析相结合,可以有效区分正常山葵和产气山葵,明确其气味、口感和挥发性成分的差异,为山葵的质量控制和工艺优化提供科学依据。
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来源期刊
Analytical Methods
Analytical Methods CHEMISTRY, ANALYTICAL-FOOD SCIENCE & TECHNOLOGY
CiteScore
5.10
自引率
3.20%
发文量
569
审稿时长
1.8 months
期刊介绍: Early applied demonstrations of new analytical methods with clear societal impact
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