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SIMULATION OF A BIOREACTOR Tiffany Tarrant Todd Giorgio

Understand the efficiency of simulating bioreactor operations for faster growth, reduced costs, and cell culture optimization. Analyzing different impeller effects on growth and integrating ISF to balance oxygen delivery and cell damage.

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SIMULATION OF A BIOREACTOR Tiffany Tarrant Todd Giorgio

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  1. SIMULATION OF A BIOREACTORTiffany TarrantTodd Giorgio

  2. What is a Bioreactor? • Experimental device used to culture cells • Provides nutrient media, oxygen support, fluid environment, area to grow • Used both in laboratories and in industry-- specifically used in the lab portion of the BME 281: Biotechnology class

  3. BME 281: Biotechnology • Course goal: to integrate cellular and molecular biology with process bioengineering to describe the manufacture of products derived from mammalian cells

  4. Why Simulate? • based on initial lab results • quicker, more efficient, and less expensive

  5. Laboratory 22 days to prepare cells for bioreactor 5 days to obtain a significant amount of growth TOTAL: 27 days Simulation approximately 1 minute to enter experimental data and get results TOTAL: 1 minute Experimental Time Comparison

  6. Typical Cell Culture

  7. Cell Types • HeLa--common in research labs • ECV304--endothelial cells • 293--used in BME 282 lab • can be distinguished based on specific growth constants & the extent to which they are affected by local environmental limitations

  8. Past Work • Modeled simple exponential growth based only on cell-specific growth constant • Accounted for oxygen delivery limitation • Introduced different impeller types

  9. Simple Exponential Growth • unlimited growth • cell types distinguished based on k

  10. Oxygen Limitation Effects

  11. Impeller • different types influencing the amount of power that is delivered to the bioreactor system • increases oxygen dispersal throughout the system, thereby increasing delivery • forces imposed on cells due to stirring causes mechanical damage and cell death

  12. Impeller Types Rushton turbine Marine Propeller Paddle Anchor Helical ribbon

  13. Current Work • Incorporation of impeller effects on growth • Integration of ISF to balance oxygen delivery capabilities with cell death due to mechanical damage • Validation of model with actual lab results • Literature search to investigate other cell culture models

  14. Impeller Effects

  15. Integrated Shear Factor • Cell growth under different shear conditions can be correlated to an ISF factor

  16. Stirring Speed Effects via ISF • ISF related to speed of impeller and its distance from the walls of the bioreactor

  17. Experimental Comparisons • Given a time lag, model correlates with BME 282 data

  18. Other Models • No other model attempted to integrate several interrelated factors that affect cell growth • Instead, focused on one parameter or determining event • None incorporated oxygen delivery limitations

  19. Program Flowchart

  20. Parameter Effects on Growth

  21. Future Work • 1. Slight alterations to the program to make it more user-friendly • 2. Specific documentation of program procedure and functions

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