在食品感觉和消费者科学中整合尖端技术:应用和未来方向
Dongju Lee1, Hyemin Jeon1, Yoonseo Kim1
1Department of Food Science and Nutrition, Dankook University, Cheonan-si 31116, Republic of Korea.
Foods (Basel, Switzerland)
|December 30, 2025
概括
像AI,ML和XR这样的新兴数字技术正在改变感官科学. 这些创新使得更客观的,现实世界的消费者评估和个性化的评估系统成为可能.
科学领域:
- 感官和消费科学 感官和消费科学
- 研究中的数字技术.
背景情况:
- 传统的感官评估正在从基于实验室的方法演变为现实世界的评估.
- 数字技术为客观感官数据收集提供了新的途径.
研究的目的:
- 审查感官评估中关键技术的最新趋势和应用.
- 探索创建个性化,多式联运和自适应感官系统的策略.
- 讨论伦理考虑和未来的研究方向.
主要方法:
- 系统的文献综述专注于人工智能 (AI),机器学习 (ML),扩展现实 (XR),生物识别和数字传感器.
- 对AI/ML模型性能指标 (RMSE,R2) 的分析.
- 在XR环境中对存在测量的审查.
主要成果:
- 人工智能/ML模型在感官或偏好预测方面显示出高预测准确度 (79-100%).
- 扩展现实 (XR) 环境显示出足够的存在分数 (>3在IPQ尺度上).
- 研究了个性化和适应性感官评估系统的整合策略.
结论:
- 新兴的数字技术对于推进感官和消费者科学至关重要.
- 通过技术集成,可以实现个性化,多式联运和智能适应系统.
- 在感官研究中,在整个数据生命周期中,道德考虑至关重要.
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