生物制药工艺中发酵过程的动态调控机制 -制药工程专业

摘要

生物制药工艺中的发酵过程是生产高附加值药物的关键环节，其动态调控机制直接影响产品的质量和产量。随着生物技术的快速发展，传统的发酵控制方法已难以满足现代工业的需求。本研究旨在探索基于多参数耦合的动态调控策略，以提高发酵过程的稳定性和效率。研究采用实验与数值模拟相结合的方法，通过构建数学模型对发酵过程中的温度、pH值、溶解氧等关键参数进行实时监测与优化。实验结果表明，引入自适应模糊控制算法后，发酵过程中的参数波动显著减少，菌体生长速率和产物合成效率分别提高了15%和20%。此外，研究还发现，通过动态调整培养基成分和通气速率，可以有效降低代谢副产物的积累，从而提升产品的纯度和收率。

关键词：生物制药发酵；动态调控；多参数耦合；自适应模糊控制

DYNAMIC REGULATION MECHANISM OF FERMENTATION PROCESS IN BIOPHARMACEUTICAL PROCESS

ABSTRACT

The fermentation process in biopharmaceutical process is a key link in the production of high value-added drugs, and its dynamic control mechanism directly affects the quality and yield of products. With the rapid development of biotechnology, traditional fermentation control methods have been difficult to meet the needs of modern industry. The aim of this study was to explore a dynamic control strategy based on multi-parameter coupling to improve the stability and efficiency of fermentation process. In this study, the key parameters such as temperature, pH value and dissolved oxygen were monitored and optimized in real time by constructing mathematical models through the combination of experiment and numerical simulation. The experimental results show that the parameter fluctuation of fermentation process is reduced significantly, the growth rate of bacteria and the efficiency of product synthesis are increased by 15% and 20% respectively after the introduction of adaptive fuzzy control algorithm. In addition, the study also found that the accumulation of me tabolic by-products can be effectively reduced by dynamically adjusting the medium composition and ventilation rate, thereby improving the purity and yield of the product.

KEY WORDS：Biopharmaceutical Fermentation; Dynamic Regulation; Multi-Parameter Coupling; Adaptive Fuzzy Control

摘要 I

ABSTRACT II

第1章绪论 2

1.1 研究背景及意义 2

1.2 发酵过程动态调控机制的研究现状 2

第2章发酵过程中的关键参数动态监测与调控 4

2.1 发酵过程中温度与pH值的动态变化分析 4

2.2 氧气供应与代谢产物的动态调控机制 4

2.3 发酵过程中微生物生长速率的实时监测与优化 5

第3章基于数学模型的发酵过程动态预测与控制 6

3.1 发酵过程动力学模型的构建与验证 6