Adaptive Fed-batch Control of Escherichia coli Fermentation for Protein Production

被引:1
作者
Lyubenova V. [1 ]
Zlatkova A. [1 ]
Ignatova M. [1 ]
机构
[1] Department of Mechatronic and Bio/technological Systems Institute of Robotics, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl. 2
关键词
Acetate; Adaptive control; Fermentation; Glucose; Recombinant proteins;
D O I
10.7546/ijba.2023.27.3.000930
中图分类号
学科分类号
摘要
A new adaptive linearizing control algorithm that stabilizes the carbon source concentration in a desired value is proposed. This algorithm is applied to recombinant protein production by Escherichia coli. A model for control of the investigated process is derived. The model identification is made based on experimental data of the batch phase of the process. The operating model includes two sub-models. Each of them describes one of the two physiological states through which the process passes. Switching from one model to another depends on the sign of a key parameter obtained from the acetate measurements. A cascade scheme of software sensors for the estimation of two biomass growth rates included in the structure of the proposed control algorithm is derived. Simulation studies of the developed closed system have been carried out. The results of the impact of an open-loop control system on the same object are compared. © 2023 by the authors. Licensee Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页码:147 / 160
页数:13
相关论文
共 31 条
[1]  
Abadli M., Dewasme L., Tebbani S., Dumur D., Wouwer A. V., Experimental Validation of a Nonlinear Model Predictive Controller Regulating the Acetate Concentration in Fed-batch Escherichia coli BL21 (DE3) Cultures, Advanced Control for Applications: Engineering and Industrial Systems, 4, 1, (2022)
[2]  
Bastin G., Dochain D., On-line Estimation and Adaptive Control of Bioreactors, (1990)
[3]  
Bzioui S., Channa R., Robust Tracking Control for the Non-isothermal Continuous Stirred Tank Reactor, International Journal Bioautomation, 24, 2, pp. 131-142, (2020)
[4]  
Caldwell T. P., Synoground B. F., Harcum S. W., Method for High-efficiency Fed-batch Cultures of Recombinant Escherichia coli, Methods in Enzymology, 659, pp. 189-217, (2021)
[5]  
Chai W. Y., Teo K. T. K., Tan M. K., Tham H. J., Fermentation Process Control and Optimization, Chemical Engineering and Technology, 45, 10, pp. 1731-1747, (2022)
[6]  
Chorukova E., Hubenov V., Gocheva Y., Simeonov I., Two-phase Anaerobic Digestion of Corn Steep Liquor in Pilot Scale Biogas Plant with Automatic Control System with Simultaneous Hydrogen and Methane Production, Applied Sciences, 12, 12, (2022)
[7]  
Chorukova E., Simeonov I., Mathematical Modelling of the Anaerobic Digestion in Two-stage System with Production of Hydrogen and Methane Including Three Intermediate Products, International Journal of Hydrogen Energy, 45, 20, pp. 11550-11558, (2020)
[8]  
Dochain D., Automatic Control of Bioprocesses, (2013)
[9]  
Farza M., Othman S., Hammouri H., Biston J., A Nonlinear Approach for the On-line Estimation of the Kinetic Rates in Bioreactors, Application to a Lactic Acid Production Process, Bioprocess Engineering, 17, pp. 143-150, (1997)
[10]  
Ignatova M., Lyubenova V., Control of Biotechnological Processes – New Formalization of Kinetics: Theoretical Aspects and Applications, (2011)