用扩散方程建模大型生物反应器. 第二部分:表征基质,氧气,温度,二氧化碳和pH值的概况
Pauli Losoi1, Jukka Konttinen1, Ville Santala1
1Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland.
Biotechnology and bioengineering
|December 28, 2023
概括
本研究提出了使用轴向扩散方程的大规模料批发发酵的预测模型. 该模型准确地预测了基质,pH值,氧气和温度概况,有助于估计生物反应器的性能.
科学领域:
- 生物化学工程 生物化学工程
- 工业生物技术 工业生物技术
- 过程建模过程建模
背景情况:
- 大规模发酵涉及混合,反应和质量转移之间的复杂相互作用.
- 目前的方法依赖于经验相关性或特定案例的模拟来预测生物反应器的性能.
- 预测模型对于优化工业生物工艺至关重要.
研究的目的:
- 开发和验证大规模料批量生物反应器的一般预测模型.
- 在料批次操作中对基质,pH值,氧气,二氧化碳和温度概况进行表征.
- 评估一维轴向扩散方程对建模生物反应器性能的有用性.
主要方法:
- 应用了一维的轴向扩散方程与稳定状态和动力模型 (第一和零级).
- 用于基质,溶解氧,温度和pH的分析溶液.
- 将模型预测与来自大肠杆菌和大肠杆菌发酵和文献模拟的实验数据进行了比较.
主要成果:
- 在预测和实验基质形状之间取得了良好的一致性.
- 溶解氧,温度和pH的分析概况与现有数据一致.
- 已定义的基质分布函数和生物质增长和氧气吸收的衍生效率因子.
结论:
- 一维的轴向扩散方程为大规模料批发发酵提供了强大的预测模型.
- 该模型有效地捕捉了混合和反应动力学对生物反应器关键变量的影响.
- 这种方法为了解和优化工业生物工艺提供了可通用的工具.
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