人工智能在食品风味分析中的研究和应用
Liru Yang1, Shaoxiang Yang1, Hongyu Tian1
1Beijing Key Laboratory of Flavour Chemistry, Beijing Technology and Business University, Beijing, PR China.
Critical reviews in analytical chemistry
|February 4, 2026
概括
人工智能 (AI) 提供先进的食品风味分析,优于传统方法. 这项技术可以预测口味特征,提高食品生产效率,从而彻底改变了食品行业.
科学领域:
- 食品科学 食品科学 食品科学
- 计算智能是一种计算智能.
- 感官分析 感官分析
背景情况:
- 传统的食品风味分析方法在准确性和效率方面存在局限性.
- 人工智能 (AI) 的整合比传统技术具有显著的进步.
- 人工智能的预测能力和效率改进在食品行业越来越有价值.
研究的目的:
- 审查人工智能和食品风味的基本概念.
- 综合讨论应用于风味分析的AI方法.
- 详细介绍机器学习和深度学习在食品风味中的应用.
主要方法:
- 对现有关于人工智能和食品风味的文献的审查.
- 分析机器学习算法用于风味预测.
- 在感官数据解释中探索深度学习模型.
主要成果:
- 与传统方法相比,人工智能方法在食品风味分析方面表现优越.
- 人工智能有助于准确预测食品的风味特征.
- 人工智能集成可以提高食品生产效率和质量控制.
结论:
- 人工智能和食品风味分析之间的协同作用提供了巨大的好处.
- 机器学习和深度学习是推动食品风味研究的关键.
- 解决人工智能实施当前的挑战对于食品行业未来的进步至关重要.
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