Bellgardt K H
Institute for Chemical Engineering, University of Hannover, Germany.
Adv Biochem Eng Biotechnol. 1998;60:153-94.
Great progress has been made in the modelling of biotechnical processes using filamentous microorganisms. This paper deals with cultivations of Penicillium chrysogenum for the production of Penicillin and of Acremonium chrysogenum for the production of Cephalosporin C. The properties of the processes and the existing models are reviewed. Models are presented for both processes that consider aspects which are important for industrial cultivation. The process model for Penicillin production is based on a detailed morphological description of growth of hyphal filaments and pellets. The model allows for simulation of the production process including the preculture and considering the inhomogenous pellet population. It opens new possibilities for understanding the complex kinetics of the process and improvement of its control. The structured segregated model for Cephalosporin C production considers soy oil as second carbon source besides sugar. The application of the model for dynamic optimization of feeding strategies by Iterative Dynamic Programming is demonstrated. As an alternative approach, modelling of the Cephalosporin production by an artificial neural network is discussed.
在利用丝状微生物对生物技术过程进行建模方面已经取得了巨大进展。本文涉及产青霉素的产黄青霉和产头孢菌素C的顶头孢霉的培养。对这些过程的特性和现有模型进行了综述。针对这两个过程提出了考虑对工业培养很重要的方面的模型。青霉素生产的过程模型基于对菌丝体丝和菌球生长的详细形态描述。该模型允许模拟包括预培养在内的生产过程，并考虑到菌球群体的不均匀性。它为理解该过程的复杂动力学及其控制的改进开辟了新的可能性。头孢菌素C生产的结构化分离模型将豆油视为除糖之外的第二碳源。展示了通过迭代动态规划将该模型应用于进料策略的动态优化。作为一种替代方法，还讨论了用人工神经网络对头孢菌素生产进行建模。
