时间序列感官分析提供了重要的TI参数,用于掩盖大豆牛奶的豆香味
Miyu Masuda1, Yuko Terada1, Ryoki Tsuji1
1Department of Food and Nutritional Sciences, Graduate School of Integrated Pharmaceutical and Nutritional Sciences, University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka 422-8526, Japan.
时间强度 (TI) 感官配置文件,特别是AreaInc和AreaDec,是开发任何香味有效掩饰剂的关键. 专注于这些风味释放参数可以增强掩饰剂的开发.
科学领域:
- 食品科学 食品科学 食品科学
- 感官分析 感官分析
- 味道化学 味道化学
背景情况:
- 掩饰剂对于减轻食品中的不良风味至关重要.
- 评估掩饰剂的传统方法往往忽略了动态感官配置文件.
- 了解随着时间的推移释放的风味对于优化掩饰效果至关重要.
研究的目的:
- 探索时间序列感官配置文件在开发有效的掩饰剂中的实用性.
- 为了确定影响豆香味掩饰的关键时间强度 (TI) 参数.
- 应用机器学习技术来根据掩盖能力对香料材料进行分类.
主要方法:
- 对100种调味料的14个时间强度 (TI) 参数进行分析.
- 分析TI参数与任何香味掩饰得分之间的相关性分析.
- 机器学习方法包括主要组件分析和集群分析.
主要成果:
- 在顶级掩饰剂中,TI参数AreaInc,DurDec和AreaDec显著更高.
- 机器学习确定AreaInc和AreaDec对于分类风味材料及其掩盖潜力至关重要.
- AreaDec对于有效的豆类风味掩饰尤为重要.
结论:
- 时间序列感官配置文件为掩饰剂开发提供了一个新的视角.
- 特定的TI参数,特别是AreaDec,是掩蔽剂有效性的关键指标.
- 这项研究证明了感官时间序列分析和机器学习在风味掩饰研究中的成功应用.
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