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在毕赤酵母补料分批发酵中分泌型重组蛋白产量的最大化

Maximization of production of secreted recombinant proteins in Pichia pastoris fed-batch fermentation.

作者信息

Zhang Wenhui, Sinha Jayanta, Smith Leonard A, Inan Mehmet, Meagher Michael M

机构信息

Biological Process Development Facility, Department of Chemical Engineering, University of Nebraska-Lincoln, Nebraska 68588-0643, USA.

出版信息

Biotechnol Prog. 2005 Mar-Apr;21(2):386-93. doi: 10.1021/bp049811n.

Abstract

Pontryagin's Maximum Principle has been applied for optimization of secreted proteins from Pichia pastoris fed-batch fermentation. The objective of this work is to maximize the total accumulated product per unit operation time under different given conditions and system constraints. To obtain optimal solutions, an automated curve-fitting software, Table Curve 2D, was employed to construct the necessary mathematical models and solve the complicated functions. In the solution processes, the end of the glycerol batch phase was defined as the initial state of the system, the end of the methanol fed-batch phase as the final state, the cell mass produced along with product accumulated as state variables, and the specific growth rate (mu) as the control variable. Initially, a relationship between the specific production rate (rho) and mu was established. Then, according to Pontryagin's Maximum Principle, the admissible range of mu and its trajectories for the optimal operations were determined. Four representative cases with different combinations of the operation time along with the initial and final states were evaluated. A close correlation was obtained between the predicted values of the model equation with the experimental results from the Pichia pastoris fed-batch fermentations producing secreted alpha-galactosidase. The approaches proposed here greatly simplify the computational processes and validate the optimization strategy as a generalized approach to maximize the yield from fed-batch fermentations.

摘要

庞特里亚金极大值原理已被应用于优化毕赤酵母补料分批发酵中分泌蛋白的生产。这项工作的目标是在不同给定条件和系统约束下,使单位操作时间内的总累积产物最大化。为了获得最优解,使用了一个自动曲线拟合软件Table Curve 2D来构建必要的数学模型并求解复杂函数。在求解过程中,甘油分批阶段的结束被定义为系统的初始状态,甲醇补料分批阶段的结束为最终状态,与产物累积一起产生的细胞质量作为状态变量,比生长速率(μ)作为控制变量。首先,建立了比生产速率(ρ)与μ之间的关系。然后,根据庞特里亚金极大值原理,确定了μ的允许范围及其最优操作的轨迹。评估了四种具有不同操作时间以及初始和最终状态组合的代表性情况。在毕赤酵母补料分批发酵生产分泌型α-半乳糖苷酶的实验结果与模型方程的预测值之间获得了密切的相关性。这里提出的方法极大地简化了计算过程,并验证了作为一种广义方法来最大化补料分批发酵产量的优化策略。

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