分子网络和深度学习协同作用,用于在L. plantarum中发现生物活性代谢物-发酵的海棘牛奶
Zhihui Luo1, Fengling Liu1, Shan Du1
1School of Food and Biotechnology, Xihua University, No.999 Guangchang Road, Chengdu 610039, China.
Food chemistry
|September 13, 2025
概括
研究人员使用先进的代谢学方法在发酵的海棘牛奶中发现了新的生物活性化合物. 这一发现增强了功能性饮料的营养和感官质量.
科学领域:
- 食品科学 食品科学 食品科学
- 代谢学 代谢学 代谢学
- 微生物学 微生物学
背景情况:
- 海棘牛奶是一种潜在的功能性食物基础.
- 乳植物菌植物菌发酵可以改变它的特性.
- 识别特定的生物活性化合物对于产品开发至关重要.
研究的目的:
- 为了研究由Lactiplantibacillus plantarum发酵的海牛奶中的代谢变化.
- 识别新型生物活性化合物并了解它们对营养和感官属性的影响.
- 开发和验证功能性食品分析的先进代谢学方法.
主要方法:
- 没有目标的代谢学工作流.
- 基于特征的分子网络 (FBMN) 与深度学习算法的集成.
- 发酵的海棘牛奶的时间分析.
主要成果:
- 179种代谢物的表征,包括两种新型异乙烯-黄醇糖化物和四甲-3-碳酸.
- 观察到促进健康的黄酸盐的丰富.
- 富马里酸和D-(+) - 酸的显著减少,与改善的味道和口感相关.
结论:
- FBMN-深度学习管道有效地绘制了发酵食品中的生物活性代谢物动态.
- 这种方法加速了食品矩阵中功能性化合物的发现.
- 这些发现为开发下一代以健康为导向的发酵饮料提供了框架.
关键词:
这就是DeepMass的DeepMass.基于特征的分子网络 (FBMN)黄类化合物 黄类化合物牛奶植物植物菌植物植物 (Lactiplantibacillus plantarum) 是一种植物.牛奶 牛奶 牛奶 牛奶海棘海棘是什么意思更多相关视频
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