在生物制药下游过程中比较in silico流表优化策略
Daphne Keulen1, Myrto Apostolidi1, Geoffroy Geldhof2
1Department of Biotechnology, Delft University of Technology, Delft, The Netherlands.
Biotechnology progress
|October 19, 2024
概括
这项研究比较了生物制药下游流程优化策略. 机械模型的分解方法对于复杂的流程图来说是最节省时间的.
科学领域:
- 生物制药制造业 生物制药制造业
- 化学工程是化学工程的重要组成部分.
- 过程优化 过程优化
背景情况:
- 设计生物制药下游流程包括选择单元操作和优化条件.
- 复杂的流程需要战略方法来实现高效的优化.
研究的目的:
- 为了比较流程表优化同时进行的,自上而下的和超结构分解策略.
- 通过染色学机械模型 (MMs) 和人工神经网络 (ANN) 评估这些策略.
主要方法:
- 优化了39个流程表,包括染色学和缓冲区交换.
- 对三种不同的优化策略进行比较分析.
- 使用机械模型和人工神经网络进行评估.
主要成果:
- 所有的策略都集中在最优的直角结构上.
- 机械模型和人工神经网络产生了一致的性能值.
- 使用机械模型的分解方法在多核系统上表现出卓越的时间效率.
结论:
- 优化策略的选择显著影响流表设计结果.
- 分解策略,特别是机械模型,为复杂的生物过程优化提供了时间效率.
- 机械模型和人工神经网络都适用于评估优化策略.
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