Jenzsch Marco, Gnoth Stefan, Beck Matthias, Kleinschmidt Martin, Simutis Rimvydas, Lübbert Andreas
Centre of Bioprocess Engineering, Martin-Luther-University Halle-Wittenberg, Weinbergweg 22, 06120 Halle, Saale, Germany.
J Biotechnol. 2006 Dec 15;127(1):84-94. doi: 10.1016/j.jbiotec.2006.06.004. Epub 2006 Jun 15.
Recombinant protein production processes are typically divided into two phases. In the first one, pure cell propagation takes place, while in the second one product formation is switched on within the cells by adding an inducer. In the initial biomass formation phase, the cell density is rather low and, hence, the measurement quantities that could be used to determine the process' state depict small values and are rather severely distorted by measurement noise. Because of these measurement problems, the fermentation cannot be reliably controlled by feedback control during this first production phase; instead, the process must be controlled in an open-loop fashion. The consequence, worked out in this paper, is to design substrate feed rate profiles for the growth phase in such a way that they are robust with respect to the main disturbances observed in practice. The robustness of the biomass formation is shown to be primarily dependent on the specific growth rate adjusted in the first hours. High batch-to-batch reproducibility can be obtained with exponential feeding profiles F(t) corresponding to specific growth rates micro(set) well below the maximal specific growth rate micro(max) of the organism. The reduction in the growth rate needed to obtain a robust process behavior depends on the inaccuracies in the initial biomass concentrations. Quantitative feed rate profiles were obtained by numerical simulation and these results were validated experimentally by means of a series of cultivation runs, where a recombinant pharmaceutical protein was produced. All experimental data confirmed the assumptions made in the robust process design study.
重组蛋白生产过程通常分为两个阶段。在第一阶段,进行纯粹的细胞增殖,而在第二阶段,通过添加诱导剂在细胞内开启产物形成。在初始生物量形成阶段,细胞密度相当低,因此,可用于确定过程状态的测量量呈现出小的值,并且受到测量噪声的严重干扰。由于这些测量问题,在这个第一生产阶段,发酵不能通过反馈控制可靠地进行控制;相反,该过程必须以开环方式进行控制。本文得出的结果是,为生长阶段设计底物进料速率曲线,使其对实际中观察到的主要干扰具有鲁棒性。结果表明,生物量形成的鲁棒性主要取决于最初几个小时内调整的比生长速率。对于对应于比生长速率μ(设定值)远低于生物体最大比生长速率μ(最大值)的指数进料曲线F(t),可以获得高批次间再现性。为获得鲁棒的过程行为所需的生长速率降低取决于初始生物量浓度的不准确程度。通过数值模拟获得了定量进料速率曲线,并且通过一系列生产重组药物蛋白的培养实验对这些结果进行了验证。所有实验数据都证实了在鲁棒过程设计研究中所做的假设。