A fermentation process simulation and optimization method based on multi-scale model coupling

By employing a multi-scale model coupling method, the heterogeneity of environmental and cellular physiological states during industrial fermentation is accurately characterized, solving the problem of inaccurate simulation in existing technologies and achieving efficient optimization and prediction of the fermentation process.

CN122287433APending Publication Date: 2026-06-26SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI +1
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
Filing Date
2026-03-12
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing technologies cannot accurately describe and predict the spatiotemporal heterogeneity of the environment and the heterogeneity of cellular physiological states during industrial-scale fermentation, leading to decreased fermentation production efficiency and unstable product yield.

Method used

A multi-scale model coupling method is adopted, including a physicochemical environment submodule, a cell physiological state submodule, and a cell metabolic network model submodule. Through global feedback coupling and dynamic metabolic flow balance analysis, the physiological state evolution and metabolic response of cells in a dynamic environment are accurately characterized.

Benefits of technology

It enables precise simulation and prediction of industrial fermentation processes, improves the simulation accuracy and prediction capability of fermentation processes, guides strain design, reactor design and fermentation process optimization, and solves the problems of declining production efficiency and unstable product yield.

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Abstract

This invention discloses a method for simulating and optimizing fermentation processes based on multi-scale model coupling. The method includes: constructing a multi-scale model consisting of three sub-modules: physicochemical environment, cell physiological state, and cell metabolic network model; establishing a global feedback coupling mechanism for bidirectional variable transfer and real-time feedback among the three sub-modules; constructing a three-dimensional reactor model based on computational fluid dynamics software, and after initialization of the sub-modules, spatially discretizing it using the finite volume method and iteratively solving the equations of each sub-module using a coupled solver to obtain dynamic data of the fermentation process; and conducting optimization applications such as reactor design, process parameters, and strain modification based on the simulation results. This invention achieves cross-scale dynamic coupling simulation, reflects the interaction between the environment and cells during fermentation, improves simulation accuracy and prediction capability, and effectively solves the problems of decreased production efficiency and unstable product yield during industrial fermentation scale-up.
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