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  3. مطالعه تجربی سنتز زیستی، پایدارسازی و رهایش پروتئین نوترکیب کندروئیتیناز
شبیه سازی فرایند تولید آمینو اسید لیزین با استفاده از سویه باکتریایی در یک بیوراکتور نیمه پیوسته
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شبیه سازی فرایند تولید آمینو اسید لیزین با استفاده از سویه باکتریایی در یک بیوراکتور نیمه پیوسته

کریم بیکی فیروزآبادی، محمد جواد Karimbeiki Firouzabadi, Mohammad Javad

Simulating the Production Process of Lysine Amino Acid Via a Bacterial Strain in a Fed-Batch Bioreactor

Karimbeiki Firouzabadi, Mohammad Javad | 2025

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 58529 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Askaripour, Hossein
  7. Abstract:
  8. The industrial production of the essential amino acid L-lysine has become a strategic branch of modern biotechnology due to its critical role in the food, pharmaceutical, and animal feed industries. Among available production methods, microbial fermentation using Corynebacterium glutamicum is the most widely applied and efficient approach, owing to its high productivity, metabolic flexibility, and compatibility with renewable substrates. This study aims to design, simulate, and optimize a fed-batch fermentation process for L-lysine production using a dynamic multi-phase model implemented in the industrial software superpro designer. Initially, a batch model was developed incorporating three distinct microbial growth phases and validated against laboratory-scale experimental data. The validated model was then expanded to simulate fed-batch conditions by introducing various feeding strategies. These strategies varied in feeding time and rate to assess their effects on lysine production, biomass formation, and substrate consumption. The model demonstrated good agreement with experimental data, with the simulated trends for biomass, glucose, and lysine aligning closely with observed values and relative errors below 10. Upon extending the simulation to fed-batch conditions, optimal results were achieved by feeding a solution containing glucose and threonine around the 10th hour of fermentation, particularly at a moderate rate (0.5 m³/h). The model successfully demonstrating its flexibility and predictive power under fermentation conditions
  9. Keywords:
  10. Lysine ; Batch Processing ; Bioprocessing ; Dynamic Modeling ; Super Pro Designer software ; Corynebacterium Glutamicum ; Fed-Batch Fermentation ; Bioprocess Simulation

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