扩大生物催化系统的过程模拟和评估:进展,挑战和未来前景
1College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China; School of Engineering, Westlake University, Hangzhou, Zhejiang 310030, China.
Biotechnology advances
|October 22, 2024
概括
开发更好的模拟工具对于优化生物制品制造至关重要. 整合动态建模,过程模拟和可持续性分析将提高效率并支持可持续的生物经济.
科学领域:
- 生物技术和生物制造
- 工艺工程是过程工程.
- 计算生物学 计算生物学
背景情况:
- 对生物制品日益增长的需求需要先进的生物制造技术.
- 工艺模拟对于优化工业生物经济运营在工业4.0框架内至关重要.
- 目前的模拟工具缺乏透明度和效率,因为对细胞代谢的理解不完全.
研究的目的:
- 审查和比较生物催化过程的过程模拟软件和模型.
- 确定传统运动模型的局限性,并提出对更现实的模拟的要求.
- 探索动态建模,过程模拟和机器学习的整合以进行优化.
主要方法:
- 文献综述和对现有过程模拟软件和运动模型的比较分析.
- 探索多尺度建模方法,将运动模型与计算流体动力学联系起来.
- 讨论生物反应模拟中的灵敏度分析和机器学习应用.
主要成果:
- 现有的模拟工具在准确表示复杂的微生物和酶反应方面存在局限性.
- 需要综合框架,结合动态建模,过程模拟和可持续性评估.
- 机器学习为优化模拟和提高能源效率和产品产量提供了潜力.
结论:
- 为了高效和可持续的生物制造,需要先进的模拟框架.
- 将微观运动模型与宏观过程模拟集成至关重要.
- 在机器学习的帮助下,技术经济和生命周期评估是优化生物反应过程的关键.
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