基于混合赛博模型的微生物代谢状态估计

doi:10.11949/0438-1157.20191310

化工学报 ›› 2020, Vol. 71 ›› Issue (7): 3165-3171.DOI: 10.11949/0438-1157.20191310

基于混合赛博模型的微生物代谢状态估计

潘妍如(),刘飞()

江南大学轻工过程先进控制教育部重点实验室，江苏无锡 214122

收稿日期:2019-11-04 修回日期:2020-01-27 出版日期:2020-07-05 发布日期:2020-07-05
通讯作者: 刘飞
作者简介:潘妍如（1993—），女，硕士研究生，pyr_forever@163.com
基金资助:
国家自然科学基金项目(61833007)

Estimation of microbial metabolic state based on hybrid cybernetic model

Yanru PAN(),Fei LIU()

Key Laboratory of Advanced Control for Light Industry Processes, Ministry of Education, Jiangnan University, Wuxi 214122, Jiangsu, China

Received:2019-11-04 Revised:2020-01-27 Online:2020-07-05 Published:2020-07-05
Contact: Fei LIU

摘要/Abstract

摘要：

微生物发酵过程中组分异常复杂，物化和生化反应混合交叠，多数状态不能直接测量。混合赛博模型结合了基元模式分析和赛博(cybernetic)模型控制作用，既考虑细胞内产物信息和代谢行为，又引入控制变量来调节催化酶的活性和合成，从而建立了微生物代谢过程的动力学方程，基于该模型可以实现对微生物体代谢状态的实时监测。针对聚羟基丁酸发酵过程，在代谢途径和基元模式分析基础上，对其混合赛博模型中非线性动态进行线性化，再采用扩展卡尔曼滤波对代谢过程状态进行估计。仿真结果表明，对于微生物代谢中一些重要状态变量具有良好的估计效果。

关键词: 混合赛博模型, 基元模式, 扩展卡尔曼滤波, 代谢, 酶, 发酵

Abstract:

The components of microbial fermentation process are extremely complex. The physicochemical and biochemical reactions are mixed and overlapped. Many metabolic states cannot be measured directly. The hybrid cybernetic model combines the elementary mode analysis and the cybernetic model control. It not only involves both intracellular product information and metabolic behavior, but also introduces control variables to regulate the activity and synthesis of catalytic enzymes. Based on the kinetic equation of microbial metabolism, the real-time state monitoring of microbial metabolism could implement. In view of the fermentation process of poly-β-hydroxybutyrate, by means of the metabolic pathway analysis, the nonlinear dynamics of the existing hybrid cybernetic model is first linearized. Then the extended Kalman filter is used to estimate the metabolic state of fermentation process. Simulation results show that it has a good estimation effect on some important state variables in microbial metabolism.

Key words: hybrid cybernetic model, elementary mode, extended Kalman filter, metabolism, enzyme, fermentation

中图分类号:

TP 273

潘妍如, 刘飞. 基于混合赛博模型的微生物代谢状态估计[J]. 化工学报, 2020, 71(7): 3165-3171.

Yanru PAN, Fei LIU. Estimation of microbial metabolic state based on hybrid cybernetic model[J]. CIESC Journal, 2020, 71(7): 3165-3171.

图/表 1

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基于混合赛博模型的微生物代谢状态估计

Estimation of microbial metabolic state based on hybrid cybernetic model

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