Fu P, Barford J P
Chemical Engineering Department, Sydney University, NSW, Australia.
Cytotechnology. 1994;14(3):219-32. doi: 10.1007/BF00749618.
The objective of this paper is to explore the range of methods and strategies available for the process control and optimization of monoclonal antibody production by hybridoma cell culture. Emphasis will be placed on the choice of the level of complexity incorporated into the process control and optimisation procedure. It will be shown that the behaviour of hybridomas in culture is influenced by sophisticated cellular metabolic activities and various interactive environmental factors and that the understanding and modelling of the way hybridomas grow in the bioreactor should enable optimisation of bioreactor operating conditions to achieve maximum monoclonal antibody formation. However, due to the lack of on-line instrumentation of important biological variables and the incomplete knowledge of hybridoma cultivation process, there exist many limitations and challenges to the advent of applications of process control and optimisation in this field. To solve the problem, introduction of industrially practical biological measurements and development of new control concepts are inevitable. At the end of this paper, we shall discuss possible schemes for the control of the physiological state of cells in order that balanced cell growth and maximum monoclonal antibody synthesis may be achieved.
本文的目的是探索可用于通过杂交瘤细胞培养进行单克隆抗体生产过程控制和优化的方法及策略范围。重点将放在过程控制和优化程序中所采用的复杂程度的选择上。结果将表明,杂交瘤在培养中的行为受复杂的细胞代谢活动和各种相互作用的环境因素影响,并且对杂交瘤在生物反应器中生长方式的理解和建模应能优化生物反应器操作条件,以实现最大单克隆抗体产量。然而,由于重要生物变量缺乏在线检测手段以及对杂交瘤培养过程的认识不完整,过程控制和优化在该领域的应用面临诸多限制和挑战。为解决该问题,引入具有工业实用性的生物测量方法和开发新的控制概念是必然的。在本文结尾,我们将讨论控制细胞生理状态的可能方案,以便实现细胞的平衡生长和最大单克隆抗体合成。