Cybernetic modeling for citric acid fermentation by Aspergillus niger

HAN Lingyu; CHENG Baokun; ZHENG Xiaomei; SUN Jibin; YUAN Jingqi

doi:10.11949/j.issn.0438-1157.20141879

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Cybernetic modeling for citric acid fermentation by Aspergillus niger

更新时间：2025-12-10

- Cybernetic modeling for citric acid fermentation by Aspergillus niger
- CIESC Journal Issue 11, Pages: 4534-4539(2015)
- 作者机构：
  
  1. 上海交通大学自动化系, 系统控制与信息处理教育部重点实验室,上海,200240
  2. 中国科学院天津工业生物技术研究所,天津,300308
- 作者简介：
- 基金信息：
- DOI：10.11949/j.issn.0438-1157.20141879
  CLC： P273
- Online First：05 November 2015，
  
  Published：05 November 2015
- 稿件说明：
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HAN Lingyu, CHENG Baokun, ZHENG Xiaomei, et al. Cybernetic modeling for citric acid fermentation by Aspergillus niger[J]. CIESC Journal, 2015, (11): 4534-4539.
DOI：

HAN Lingyu, CHENG Baokun, ZHENG Xiaomei, et al. Cybernetic modeling for citric acid fermentation by Aspergillus niger[J]. CIESC Journal, 2015, (11): 4534-4539. DOI： 10.11949/j.issn.0438-1157.20141879.

摘要

黑曲霉发酵是工业生产柠檬酸的主要途径

研究该过程的动力学模型对更好地理解这一工业微生物的代谢机理有重要意义。基于黑曲霉(Aspergillus niger)柠檬酸发酵过程主要代谢途径的分析

构建了简化的碳代谢网络

建立了胞内物质和酶浓度的平衡模型。引入一阶闭环调节器模型描述发酵初期微生物酶系的建立过程。结合生物反应器模型

给出了重要宏观状态变量(如细胞物质浓度、基质浓度、产物浓度)和胞内酶浓度的动态仿真结果与实验值的对比。

Abstract

Aspergillus niger fermentation is the main way for the industrial production of citric acid. Modeling of Aspergillus niger from the perspective of cybernetics is significant for better understanding the metabolic behavior of this industrial microorganism. The metabolic pathways in Aspergillus niger during citric acid fermentation are investigated. Based on the simplified metabolic network

a cybernetic model describing the balance of intracellular metabolites and enzyme levels is constructed. Meanwhile

a first-order closed-loop regulator model is used to describe the transient enzyme pool establishment shortly after the inoculation. Combining with the bioreactor model

it is found that model simulations of intracellular enzyme concentrations are in coincidence with the measurements qualitatively

while the macroscopic state variables (biomass concentration

substrate concentrate and product concentrations) agree well with the offline assays.

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