释放发酵豆制品中的微生物机制:多态学和机器学习方法的进展和未来方向
Li Jiang1, Yunhao Lu1, Qiang He1
1College of Biomass Science and Engineering, Sichuan University, Chengdu, China.
Critical reviews in food science and nutrition
|August 21, 2025
概括
这篇评论探讨了发酵豆制品中的微生物群落. 通过了解发酵途径,先进的多组学和人工智能可以优化FBP的质量,安全性和一致性.
科学领域:
- 食品科学与微生物学
- 探索微生物群落和发酵豆制品 (FBPs) 的交集.
背景情况:
- 发酵豆制品 (FBPs) 在口味,营养和功能方面具有全球意义.
- 目前对微生物在FBP质量方面的理解有限,需要进一步研究.
研究的目的:
- 审查FBP中的微生物群落.
- 探索多种技术以了解发酵机制.
- 突出提高FBP质量和安全性的未来方向.
主要方法:
- 在各种FBP中对微生物群落的文献审查.
- 检查多基因组技术 (基因组学,代谢学).
- 讨论生物信息学,机器学习和智能技术.
主要成果:
- 确定与高质量的FBP相关的关键微生物联盟.
- 证明了多组学在阐明发酵途径方面的潜力.
- 突出设计合成微生物群落进行精确控制的机会.
结论:
- 多种的方法可以精确控制FBP发酵.
- 技术创新可以提高FBP的质量,可持续性和安全性.
- 未来的研究应侧重于整合用于改善FBP的先进技术.
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