Why build a large-scale biological reaction model?
Optimize fermentation process control
The large-scale biological reaction model can comprehensively consider multiple factors in the fermentation process, such as temperature, pH, dissolved oxygen concentration, feeding rate, etc. Through simulation and prediction, the optimal control trajectory can be determined to improve fermentation efficiency, product yield and quality, and reduce production costs.
For example, in antibiotic fermentation production, the use of a large-scale biological reaction model can simulate the growth of microorganisms and the synthesis of antibiotics under different temperature and pH combinations.
For example, through the model, it was found that when the fermentation temperature was controlled at 28 ℃ and the pH was maintained at around 7.0, the metabolic activity of microorganisms was the most active, and the yield of antibiotics increased by 30% compared to the previous conventional control methods.
Moreover, by accurately controlling the dissolved oxygen concentration and feeding rate through the model, it can ensure that microorganisms are in a good growth state throughout the entire fermentation cycle, reduce the generation of by-products, and further improve product quality.
With the help of a large-scale biological reaction model, it is possible to simulate the growth and metabolism of different strains during fermentation, and quickly screen for excellent strains to assist in strain selection and medium optimization.
At the same time, it can also predict the impact of different culture medium components on fermentation, providing a basis for optimizing the culture medium, accelerating the research and development process, and improving the success rate.
Taking the fermentation of brewing yeast to produce alcohol as an example, the fermentation performance of different yeast strains can be simulated through a large-scale fermentation model. The model analyzed various indicators such as sugar metabolism rate and alcohol tolerance of yeast strains under the same fermentation conditions.
Guide fermentation process amplification
The fermentation large-scale model can simulate and predict fermentation processes of different scales, helping researchers better understand the physical, chemical, and biological changes in the fermentation process, detect and solve possible problems in advance, reduce amplification risks, improve the success rate of process amplification, and shorten the conversion time from laboratory to industrial production.
For example, in the fermentation production of a new type of enzyme preparation, the large-scale fermentation model plays a key role from the laboratory trial stage to the pilot scale scaling up.
Promote the development of new products
Through the fermentation big model, virtual design and simulation production of new fermentation products can be carried out on computers, predicting product performance and yield, providing guidance for actual research and development, reducing experimental frequency and cost, accelerating the development speed of new products, and improving the innovation capability and market competitiveness of enterprises.
