IndPenSim
IndPenSim simulates industrial-scale fed-batch fermentation for penicillin production using a mechanistic model validated against historical data from a 100,000-liter Penicillium chrysogenum bioreactor.
Key Features:
- Mechanistic Modeling: A structured first-principles mechanistic model adapted and extended to capture key dynamics of penicillin fermentation.
- Environmental Effects Integration: Incorporates dissolved oxygen, viscosity, temperature, pH, and dissolved carbon dioxide effects on the process.
- Nutrient Impact Analysis: Accounts for the influence of nitrogen and phenylacetic acid concentrations on biomass growth and penicillin production rates.
- Data Validation: Predictions are compared with online and offline measurements from real industrial fermentation batches.
- Off-Gas Analysis: Provides detailed simulations of off-gas composition and dynamics aligned with recorded batch data.
Scientific Applications:
- Process systems benchmarking: Provides a mechanistic benchmark for process systems analysis and control studies of penicillin fermentation.
- Control strategy evaluation: Enables evaluation and enhancement of control strategies using simulated responses to manipulated variables.
- Process optimization: Supports studies of process optimization and control system improvements for fed-batch penicillin production.
- Model validation and experimental comparison: Facilitates validation of model outputs against historical industrial batch records and online/offline measurements.
Methodology:
IndPenSim applies manipulated variables from actual fermentation batches as inputs to a structured mechanistic model to generate simulated outputs that are validated against historical batch records from a 100,000-liter Penicillium chrysogenum bioreactor.
Topics
Collections
Details
- Cost:
- Free of charge (with restrictions)
- Tool Type:
- library
- Operating Systems:
- Windows, Linux, Mac
- Programming Languages:
- MATLAB
- Added:
- 5/5/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Goldrick S, Ştefan A, Lovett D, Montague G, Lennox B. The development of an industrial-scale fed-batch fermentation simulation. Journal of Biotechnology. 2015;193:70-82. doi:10.1016/j.jbiotec.2014.10.029. PMID:25449107.
Goldrick S, Duran-Villalobos CA, Jankauskas K, Lovett D, Farid SS, Lennox B. Modern day monitoring and control challenges outlined on an industrial-scale benchmark fermentation process. Computers & Chemical Engineering. 2019;130:106471. doi:10.1016/j.compchemeng.2019.05.037.