Bioprocess Engineering

Unit 638: Bioprocess Engineering

1. Introduction to Bioprocess Engineering

• Definition and scope of bioprocess engineering
• Application of engineering principles to biological systems
• Importance of bioprocesses in pharmaceuticals, food, agriculture, environment, and biofuels
• Basic concepts: biocatalysts, substrates, products, and bioprocess flow

2. Microbial Bioprocesses

• Role of microorganisms in bioprocess engineering
• Types of microbial processes: batch, fed-batch, continuous
• Fermentation processes: aerobic and anaerobic
• Enzyme production and applications
• Microbial growth kinetics: phases, models (Monod, logistic)
• Optimization strategies for microbial processes: media composition, environmental factors

3. Bioreactor Design and Operation

• Types of bioreactors: stirred tank, airlift, bubble column, packed bed
• Design considerations: volume, geometry, material
• Mixing and agitation: impeller types, power input, shear effects
• Aeration and oxygen transfer: mass transfer coefficients, spargers
• Sterilization methods: in situ sterilization, steam sterilization
• Scale-up fundamentals: geometric, kinematic, and dynamic similarities

4. Downstream Processing in Bioprocessing

• Overview of downstream processing and its importance
• Separation techniques:
  • Filtration: microfiltration, ultrafiltration
  • Centrifugation: types and principles
  • Chromatography: ion exchange, affinity, size exclusion
• Drying methods: spray drying, freeze drying
• Purification and concentration strategies

5. Bioprocess Kinetics

• Enzyme kinetics: Michaelis-Menten model, inhibition types
• Microbial growth kinetics: substrate utilization, product formation
• Mathematical modeling of bioprocesses: mass balances, rate equations
• Parameter estimation and data fitting

6. Bioprocess Control and Automation

• Importance of process control in maintaining product quality and yield
• Control strategies: feedback, feedforward, cascade control
• Instrumentation: sensors, actuators, controllers
• Data acquisition and analysis
• Implementation of automated control systems and SCADA

7. Bioprocess Scale-Up

• Challenges in scaling up bioprocesses
• Factors affecting scale-up: mass transfer, heat transfer, mixing
• Scale-up criteria: constant power input, constant tip speed, oxygen transfer rate
• Case studies and practical considerations

8. Bioprocess Modeling and Simulation

• Role of modeling and simulation in process optimization
• Types of models: deterministic, stochastic, mechanistic
• Software tools and platforms for bioprocess simulation
• Sensitivity analysis and scenario testing
• Optimization techniques for process parameters

9. Bioprocess Safety and Regulations

• Biohazard classification and handling protocols
• Waste management in bioprocess industries
• Quality control and assurance practices
• Compliance with regulatory standards: FDA, EMA, ISO
• Documentation and reporting requirements