用Bacillus subtilis进行表面素生产的基于模型的工艺设计
Eric Hiller1, Manuel Off2, Holger Dittmann2
1Department of Bioprocess Engineering, Institute of Food Science and Biotechnology, University of Hohenheim, Stuttgart, Germany. eric.hiller@uni-hohenheim.de.
AMB Express
|November 20, 2025
概括
这项研究开发了一种Bacillus subtilis食批次发酵的动力模型,以优化表面素的生产. 该模型准确地描述了生物质,基质和产品动态,从而改善了工艺设计和更高的产量.
科学领域:
- 工业生物技术 工业生物技术
- 生物工艺工程 生物工艺工程
- 微生物生理学 微生物生理学
背景情况:
- 细菌细菌是一种关键的工业微生物,但其料批发发酵动力学尚不清楚.
- 缺乏生物性能指标,如时间变化的生产产量,阻碍了优化.
- 优化料批处理过程需要对微生物动力学和生物性能有深入的了解.
研究的目的:
- 为了描述Bacillus subtilis BMV9的料批生物反应器动力学,用于表面素生产.
- 开发一种描述生物质,基质,表面素和酸盐动态的动态模型.
- 利用动力模型来设计和实施一个优化的,基于模型的料批处理过程.
主要方法:
- 使用Bacillus subtilis BMV9的料批生物反应器培养物.
- 一个使用第一阶普通微分方程的动力模型被开发出来.
- 该模型整合了Monod生长动力学,基质消耗,表面素合成和酸盐形成.
- 该模型使用12个食批量实验的数据进行了参数化.
主要成果:
- 运动模型准确地描述了生物质积累,基质消耗和表面素生产率.
- 该模型提供了对溢出代谢和酸盐形成的见解.
- 一个基于模型的工艺设计,省略了批量阶段,实现了 46.33 g/L 的产品位.
- 实现了2.11g/L*h的时空收益率.
结论:
- 开发的动力模型显著提高了对Bacillus subtilis养批量培养的过程理解.
- 该模型允许计算非分析可访问的过程参数.
- 灵敏度分析确定了影响模型输出的关键参数,指导了进一步的优化工作.
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