多模式数据融合用于商业麦牛奶的质量歧视和风味分析
Leheng Jiang1, Yuhao Cheng1, Qiao Sun2
1College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
Foods (Basel, Switzerland)
|March 14, 2026
概括
这项研究根据消费者偏好对麦奶进行了分类,发现理想的产品平衡了麦味和甜味. 不同的化学和物理因素有助于在麦奶中实现所需的感觉特征.
科学领域:
- 食品科学 食品科学 食品科学
- 感官分析 感官分析
- 分析化学 分析化学
背景情况:
- 消费者对植物性牛奶替代品 (如麦奶) 的需求正在迅速增加.
- 了解麦奶的感官属性和化学成分对于产品开发和质量控制至关重要.
研究的目的:
- 分析商业麦牛奶样本的感觉质量和风味化学.
- 根据消费者对理想感官形状的感知来分类麦牛奶产品.
- 确定影响麦牛奶感官差异化的关键物理化学驱动因素.
主要方法:
- 使用理想形状方法 (IPM) 进行感官评估.
- 采用电子鼻子 (E-nose) 技术进行香味分析.
- 应用气体染色学-质谱学 (GC-MS) 用于详细的风味化学分析.
主要成果:
- 麦牛奶样本根据消费者的认知映射被分为"理想的"和"超越理想"的类别.
- "理想的样本"具有平衡的形状,具有明显的麦味和中度的甜味/烧味.
- "超越理想"的样品在甜度或粒度方面超过了预期,提供了更强烈的感官冲击.
- 感官差异与脂质氧化产物 (例如3,5-octadien-2-one) 和物理稳定性 (影响颗粒大小的纤维/蛋白质) 有关.
结论:
- 麦牛奶的理想感官质量可以通过各种物理化学途径实现.
- 这项研究为基于感官属性的麦牛奶分类提供了一个框架.
- 这些发现为优化麦牛奶配方和标准化质量提供了理论指导.
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