整合方法模拟生物反应器水力动力学和细胞动力学,以推进生物过程优化
Vishal Kumar Singh1, Ioscani Jiménez Del Val2, Jarka Glassey1,3
1Process and Chemical Engineering, School of Engineering and Architecture, University College Cork, T12 K8AF Cork, Ireland.
Bioengineering (Basel, Switzerland)
|June 27, 2024
概括
综合计算流体动力学 (CFD) 和细胞反应动力学 (CRK) 模型通过模拟细胞对环境梯度的反应来提高大规模生物过程效率. 这支持智能生物制造和流程优化.
科学领域:
- 生物技术是生物技术.
- 生物化学工程 生物化学工程
- 工艺系统工程 工艺系统工程
背景情况:
- 随着发酵器数量的增加,大型生物工艺面临着混合效率下降和明显的环境梯度的挑战.
- 这些梯度对工业生物制造中的细胞性能,工艺效率和整体利能力产生负面影响.
- 计算流体动力学 (CFD) 对于模拟生物过程性能和帮助扩展,缩小和优化至关重要.
研究的目的:
- 审查将CFD与生物过程分析的动态细胞反应动力学 (CRK) 建模集成的好处.
- 探索各种方法,将基于CFD的生物反应器水力动力学模型与CRK模型结合起来.
- 评估不同合策略对生物过程建模中的计算需求的适用性.
主要方法:
- 计算流体动力学 (CFD) 模拟与动态细胞反应动力学 (CRK) 模型的集成.
- 为CFD和CRK模型开发和分析各种合策略.
- 评估与不同集成建模方法相关的计算负载.
主要成果:
- 结合的CFD-CRK模型为大规模生物过程中对水力动力学变化的细胞反应提供了宝贵的见解.
- 不同的集成方法为生物过程模拟提供不同级别的细节和计算效率.
- 该研究强调了通过这些综合模型在智能生物制造中进行知情决策的潜力.
结论:
- 集成的CFD-CRK建模是理解和优化大规模生物过程的强大工具.
- 选择合方法会影响模拟准确性和计算成本之间的权衡.
- 这些先进的建模技术与工业4.0原则保持一致,推动生物制造业的数字化和自动化.
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