关联分析和建模应用从客观指标到香茶的主观评价:茶的案例研究
Ruolan Song1, Meng Shen1, Yanran Wang1
1School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China.
Food chemistry
|August 29, 2024
概括
这项研究澄清了茶.
科学领域:
- 食品科学与技术 食品科学与技术
- 感官科学 感官科学
- 分析化学 分析化学
背景情况:
- 香茶根据外观,香气和味道为消费者提供了多样化的选择.
- 了解消费者偏好和茶叶属性对于市场定位和优化至关重要.
研究的目的:
- 确定不同香料茶的优势和市场地位,重点关注茶.
- 澄清消费者喜欢的特征和茶的杰出属性.
主要方法:
- 感官评估和消费者接受测试.
- 气体染色学-质谱学 (GC-MS) 和高性能液体染色学 (HPLC) 指纹.
- 物理化学分析和新的RGB集成用于相关性分析.
- 基因算法支持向量回归 (GA-SVR) 用于预测建模.
主要成果:
- 挥发性化合物 (例如,坎,β-乙酸,尤根醇) 和物理化学参数 (抗氧化能力,降解糖,pH) 与受欢迎的感觉性质有积极的相关性.
- 使用GA-SVR.使用100%准确度开发了六种消费者偏好预测模型.
- 基于这些发现,开发了一个应用程序 (APP).
结论:
- 建立了一个成功的研究框架,将主观感官茶叶特征与客观,可测量的参数联系起来.
- 这种方法可以更深入地了解消费者对茶等芳香茶的偏好.
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