在酒发酵过程中,通过 ramanomics 追踪细胞外和细胞内代谢物的产生和相互转化
Yang He1, Yuehui He2, Yuanyuan Zhou3
1State Key Laboratory of Biological Fermentation Engineering of Beer, Tsingtao Brewery Co. Ltd., Qingdao, China.
Bioresource technology
|December 11, 2025
概括
无标签的Ramanomics可以在发酵过程中监测细胞代谢. 这种技术成功地模拟了细胞内和细胞外代谢物,提供了对代谢相互作用和过程控制的见解.
科学领域:
- 生物技术是生物技术.
- 代谢工程是代谢工程.
- 分析化学 分析化学
背景情况:
- 细胞代谢状态对于发酵生产率至关重要,但很难在无标签的情况下监测.
- 细胞代谢中的异质性会影响发酵的结果.
- 现有的代谢物监测方法往往具有破坏性或缺乏实时功能.
研究的目的:
- 为了证明Ramanomics在Saccharomyces pastorianus发酵过程中对细胞内和细胞外代谢物进行无标签监测的实用性.
- 用单细胞拉曼光谱 (SCRS) 和细胞内相对应分析 (IRCA) 来建模细胞外代谢表型并确定代谢相互作用.
- 评估代谢网络复杂性与关键发酵产品之间的相关性.
主要方法:
- 使用Saccharomyces pastorianus的酒发酵作为一个模型系统.
- 采用了Ramanomes (SCRS的集合) 的时间采样来分析细胞代谢.
- 应用内核相对应分析 (IRCA) 来研究代谢相互作用.
主要成果:
- 拉曼诺姆成功模拟了43种细胞外代谢表型中的19种,包括酒精,,氨基酸,酸和糖.
- IRCA揭示了细胞内和细胞外代谢产物和介质基质之间的潜在代谢相互作用.
- 碳水化合物被确定为关键的细胞内代谢物,蛋白质影响了酒精/合成.
- 酒精和与细胞外氨基酸和酸具有负相关性.
- 代谢网络的复杂性 (全球IRCN平均程度) 随着时间的推移而增加,并与产品水平相关.
结论:
- 拉曼诺米克提供了一种非破坏性,无标签和快速的方法,用于建模细胞内和细胞外代谢物水平.
- 这种技术提供了有关发酵过程中的代谢状态和相互作用的宝贵见解.
- 拉曼诺米克斯在生物过程监测和控制方面的应用潜力很大.
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