精确到盘子:人工智能驱动的发酵创新和超个性化的饮食
D Priyadharshini1, I Muthuvel2, S Saraswathy3
1Department of Fruit Science, Horticultural College and Research Institute, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India.
Frontiers in nutrition
|September 22, 2025
概括
人工智能 (AI) 正在通过提高精确发酵和个性化营养来彻底改变食品系统. 由人工智能驱动的创新提高了替代蛋白质产量,减少了生物反应器故障,解决了全球粮食挑战.
科学领域:
- 食品科学与技术 食品科学与技术
- 生物技术是生物技术.
- 营养科学 营养科学
背景情况:
- 全球粮食系统面临气候变化,营养不良和对可持续产品的需求等挑战.
- 人工智能 (AI) 通过微生物工程和个性化营养提供解决方案.
研究的目的:
- 审查人工智能驱动的精密发酵和超个性化的营养方面的进展.
- 分析AI在解码感官属性和消费者接受方面的作用.
- 解决道德问题,并为公平的AI部署提出解决方案.
主要方法:
- 对精密发酵 (CRISPR,强化学习) 和个性化营养 (预测建模) 的AI应用进行综合研究.
- 分析人工智能技术,如深度学习和自然语言处理,以解码感官属性.
- 检查伦理考虑,监管框架和以公平为中心的设计原则.
主要成果:
- 人工智能与CRISPR融合实现了替代蛋白质的产量增加300%.
- 强化学习 (RL) 的优化使生物反应器故障减少了60%.
- 公平的AI营养平台显示,儿童贫血率减少了25%,但数据隐私和偏见问题仍然存在.
结论:
- 人工智能具有显著的潜力,可以实现可持续食品生产的民主化和改善营养.
- 解决数据隐私和算法偏见等道德问题对于公平的人工智能采用至关重要.
- 合作治理对于在食品系统中透明和包容性地部署人工智能至关重要.
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