Intelligent Models for Microbial Kinetics in Bioreactors
Author Information
Author(s): Patnaik Pratap
Primary Institution: Institute of Microbial Technology, Chandigarh, India
Hypothesis
Can intelligent models better describe and optimize microbial kinetics in bioreactors compared to traditional mechanistic models?
Conclusion
Neural and cybernetic models are more effective than mechanistic models for optimizing PHB production in fed-batch cultures of Ralstonia eutropha.
Supporting Evidence
- Neural models produced more PHB with less substrate utilization than cybernetic models.
- Both intelligent models outperformed the mechanistic model in optimizing PHB production.
- The study suggests that a hybrid model combining intelligent and mechanistic features could be beneficial.
Takeaway
This study shows that smart models can help bacteria make more of a useful substance called PHB by better understanding how they grow and respond to their environment.
Methodology
The study compared neural and cybernetic models with a mechanistic model to optimize PHB production in fed-batch cultures.
Limitations
The models may have weaknesses, and a hybrid approach combining intelligent and mechanistic features is suggested.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website