Modeling of Penicillin Fermentation Process Based on a Multi-stage LHS-EPRCC Method

Authors

• Quan Li
• Peng Su, School of Internet of Things Engineering, Jiangnan University, Wuxi 214000, China
• Haiying Wan, School of Internet of Things Engineering, Jiangnan University, Wuxi 214000, China
• Chengxi Zhang, School of Internet of Things Engineering, Jiangnan University, Wuxi 214000, China
• Zhijian He, School of Artificial Intelligence, Shenzhen Technology University, Shenzhen 518000, China
• Yiyang Ni

Abstract

This paper focused on the modeling of microbial fermentation processes under varying production environments and proposed a novel approach. Considering that the dynamic characteristics of microorganism s differ across growth stages, we introduced the concept of multi-stage sensitivity analysis, in which each stage was investigated separately. The fuzzy C-means (FCM) algorithm was employed to cluster process data under nominal conditions, thereby dividing the penicillin fermentation process into distinct growth stages. Based on this division, the Latin hypercube sampling with partial rank correlation coefficient (LHS-EPRCC) method was applied to conduct sensitivity analysis for each stage, identifying an importance parameter set (IPS) that corresponds to the stage-specific growth characteristics. Re-estimation and correction of the IPS were then performed to enhance the predictive accuracy of the model. In a penicillin fermentation process deviating from nominal conditions, the proposed method was applied for model correction. Simulation results demonstrate that the corrected model aligns well with the actual process, thereby verifying the effectiveness of the proposed multi- stage sensitivity analysis approach in addressing complex fermentation processes and environmental uncertainties.

Recommended Citation

Li, Quan; Su, Peng; Wan, Haiying; Zhang, Chengxi; He, Zhijian; and Ni, Yiyang (2026) "Modeling of Penicillin Fermentation Process Based on a Multi-stage LHS-EPRCC Method," Journal of System Simulation: Vol. 38: Iss. 5, Article 9.
DOI: 10.16182/j.issn1004731x.joss.25-0948
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss5/9

First Page

1255

Last Page

1276

CLC

TP391.9

Recommended Citation

Li Quan, Su Peng, Wan Haiying, et al. Modeling of Penicillin Fermentation Process Based on a Multi- stage LHS-EPRCC Method[J]. Journal of System Simulation, 2026, 38(5): 1255-1276.

Corresponding Author

Ni Yiyang

DOI

10.16182/j.issn1004731x.joss.25-0948