Bioprocessing and Biomanufacturing | Study Unit
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Bioprocessing And Biomanufacturing

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Topics 7

Introduction to Bioprocessing
This topic will cover the fundamentals of bioprocessing, including the use of biological s...
Bioreactor Design and Operation
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Upstream Processing
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Downstream Processing
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Scale-Up and Scale-Down Strategies
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Quality Control in Biomanufacturing
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Bioprocess Optimization and Control
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Unit Outline 40h

Learning Objectives

5 objectives
  • Understand the fundamental principles and significance of bioprocessing in industry.
  • Analyze various bioreactor designs and operational parameters for optimal bioprocess performance.
  • Demonstrate knowledge of upstream and downstream processing techniques for efficient product recovery.
  • Evaluate scale-up and scale-down strategies to maintain process efficiency and product quality.
  • Apply quality control and bioprocess optimization methods to ensure compliance and improve yields.

Content Outline

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Unit 3015: Bioprocessing Fundamentals and Applications

1. Introduction to Bioprocessing

  • Definition and scope of bioprocessing
  • Biological systems used in bioprocessing (microorganisms, animal and plant cells)
  • Industrial applications: pharmaceuticals, food and beverages, biofuels, and agriculture
  • Key components of bioprocessing: biocatalysts, substrates, bioreactors, and downstream processing
  • Importance of bioprocessing in sustainability and innovation

2. Bioreactor Design and Operation

2.1 Types of Bioreactors

  • Stirred-tank bioreactors
  • Airlift bioreactors
  • Packed-bed and fluidized-bed reactors
  • Membrane bioreactors
  • Disposable bioreactors

2.2 Design Considerations

  • Geometrical parameters (size, shape)
  • Material selection and biocompatibility
  • Mixing and aeration methods

2.3 Operational Parameters

  • Temperature, pH, dissolved oxygen
  • Agitation speed and shear stress
  • Nutrient supply and waste removal

2.4 Factors Influencing Operation

  • Scale of operation (lab, pilot, industrial)
  • Sterility and contamination control
  • Instrumentation and process monitoring

3. Upstream Processing

3.1 Cell Culture Techniques

  • Types of cell cultures: batch, fed-batch, continuous
  • Cell line selection and maintenance

3.2 Media Formulation

  • Nutrient requirements: carbon, nitrogen, vitamins, minerals
  • Buffer systems and additives

3.3 Inoculum Preparation

  • Seed culture development
  • Scale-up from shake flasks to bioreactors

3.4 Optimization Strategies

  • Control of growth parameters
  • Use of fed-batch and perfusion techniques

4. Downstream Processing

4.1 Cell Disruption Techniques

  • Mechanical methods: homogenization, sonication
  • Non-mechanical methods: enzymatic, chemical

4.2 Purification Techniques

  • Filtration (microfiltration, ultrafiltration)
  • Chromatography (affinity, ion-exchange, size exclusion)

4.3 Concentration and Drying

  • Centrifugation
  • Spray drying, lyophilization

4.4 Product Isolation and Formulation

  • Removal of impurities
  • Stabilization and packaging

5. Scale-Up and Scale-Down Strategies

5.1 Challenges in Scaling

  • Maintaining mass and heat transfer efficiency
  • Reproducibility of biological conditions

5.2 Scale-Up Methodologies

  • Geometric similarity
  • Constant power input per volume
  • Maintaining oxygen transfer rates

5.3 Scale-Down Models

  • Simulating large-scale conditions in lab scale
  • Troubleshooting and process development

5.4 Maintaining Product Quality Across Scales

  • Analytical methods for comparability
  • Process analytical technology (PAT)

6. Quality Control in Biomanufacturing

6.1 Importance of Quality Control

  • Ensuring product safety, efficacy, and consistency

6.2 Monitoring Methods

  • In-process testing
  • Final product testing

6.3 Regulatory Requirements

  • Overview of regulatory agencies (FDA, EMA)
  • Key regulations and guidelines (GMP, GLP)

6.4 Process Validation and Compliance

  • Validation protocols
  • Documentation and audits

7. Bioprocess Optimization and Control

7.1 Optimization Strategies

  • Design of Experiments (DoE)
  • Statistical process control

7.2 Process Modeling

  • Kinetic modeling
  • Simulation tools

7.3 Feedback Control Systems

  • Sensors and actuators
  • Automation in bioprocessing

7.4 Real-Time Monitoring

  • Use of biosensors
  • Data acquisition and analysis

7.5 Cost Reduction and Efficiency Improvement

  • Resource optimization
  • Waste minimization
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