Automatic Control of Bioprocesses 1st Edition by Denis Dochain ISBN 1848210256 9781848210257 by Denis Dochain 1848210256 instant download after payment.

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ISBN 10: 1848210256 
ISBN 13: 9781848210257
Author: Denis Dochain

Automatic Control of Bioprocesses 1st Table of contents:

Part I: Bioprocess Fundamentals for Control Engineers

1. Introduction to Bioprocess Engineering:

   • Defining Bioprocesses: From Microbes to Pharmaceuticals

   • Key Bioprocess Applications: Fermentation, Cell Culture, Bioremediation, Biologics Production

   • Overview of Bioreactor Types and Designs (Stirred-tank, Airlift, Fixed-bed)

   • Basic Mass and Energy Balances in Bioreactors

2. Microbial and Cell Kinetics:

   • Microbial Growth Models (Monod, Logistic, Product Inhibition)

   • Cell Culture Kinetics (Growth, Death, Product Formation)

   • Enzyme Kinetics and Biocatalysis

   • Stoichiometry and Yield Coefficients

3. Bioprocess Variables and Measurement:

   • Key Process Variables: Temperature, pH, Dissolved Oxygen (DO), Agitation, Substrate Concentration, Biomass Concentration, Product Concentration, Off-gas Analysis

   • Sensors and Measurement Technologies: Online, Offline, and At-line Measurements

   • Challenges in Bioprocess Sensing: Sterility, Fouling, Drift, Response Time

   • Data Acquisition Systems and Integration

Part II: Core Concepts in Bioprocess Control

4. Fundamentals of Control Theory for Bioprocesses:

   • Review of Basic Control Concepts: Open-loop vs. Closed-loop, Feedback, Feedforward

   • Classical Control: PID Control, Tuning Methods (Ziegler-Nichols, Cohen-Coon)

   • Stability Analysis (Bode, Nyquist, Root Locus)

   • Performance Metrics (Rise Time, Settling Time, Overshoot, Steady-State Error)

5. Modeling Bioprocesses for Control:

   • First Principles Models: Structured and Unstructured Models

   • Empirical Models: Regression Analysis, Neural Networks, Fuzzy Logic

   • Model Identification and Parameter Estimation

   • Model Validation and Uncertainty Quantification

   • State Estimation: Observers and Kalman Filters for Unmeasured Variables

6. Control Strategies for Key Bioprocess Variables:

   • Temperature Control: Heating/Cooling Systems, Jacketed Vessels, Control Loops

   • pH Control: Acid/Base Addition, Buffering Capacity, Titration Curves

   • Dissolved Oxygen Control: Agitation, Aeration Rate, Pure Oxygen Sparging

   • Substrate Feeding Strategies: Batch, Fed-Batch, Continuous, Optimal Feeding Policies

   • Pressure and Foam Control: Relief Valves, Antifoam Addition

Part III: Advanced Control Techniques and Applications

7. Advanced Control Methodologies:

   • Model Predictive Control (MPC): Principles, Constraints Handling, Receding Horizon Control

   • Adaptive Control: Gain Scheduling, Self-Tuning Regulators, MRAC

   • Robust Control: H-infinity Control, Loop Shaping

   • Optimal Control: Pontryagin's Minimum Principle, Dynamic Programming

   • Fuzzy Logic and Neural Network Control: Application in Complex Bioreactors

8. Control of Specific Bioprocess Operations:

   • Fermentation Control: Alcohol Production, Antibiotic Fermentation, Recombinant Protein Production

   • Mammalian Cell Culture Control: Biologics, Vaccines, Tissue Engineering

   • Wastewater Treatment Bioreactors: Activated Sludge, Anaerobic Digesters

   • Biofuel Production: Algal Bioreactors, Bioethanol Production

9. Fault Detection, Diagnosis, and Safety:

   • Sensor Fault Detection and Isolation

   • Process Monitoring and Anomaly Detection

   • Alarm Management and Decision Support Systems

   • Safety Instrumented Systems (SIS) and Risk Assessment in Bioprocesses

Part IV: Implementation and Future Directions

10. Automation Platforms and Software:

    • Distributed Control Systems (DCS) and Programmable Logic Controllers (PLCs)

    • Supervisory Control and Data Acquisition (SCADA) Systems

    • Manufacturing Execution Systems (MES) and Enterprise Resource Planning (ERP) in Biotech

    • Data Historians and Process Analytics Software

    • Simulation Software for Bioprocess Design and Control

11. Regulatory and Economic Considerations:

    • Regulatory Requirements (FDA, EMA) for Biopharmaceutical Production (GMP, GAMP)

    • Process Analytical Technology (PAT) and Quality by Design (QbD)

    • Economic Drivers for Automation: Yield Optimization, Cost Reduction, Consistency

    • Case Studies in Industrial Bioprocess Automation

12. Emerging Trends and Future Challenges:

    • Industry 4.0 and Bioprocesses: Digital Twins, AI/ML in Control

    • Process Intensification and Miniaturization: Microreactors, Continuous Manufacturing

    • Bioprocesses in Space and Extreme Environments

    • Sustainability and Green Bioprocessing: Energy Efficiency, Waste Reduction

    • Ethical Considerations in Automated Bioproduction

Conclusion: The Intelligent Bioreactor of Tomorrow

• Recapitulation of Key Concepts and Achievements
• The Vision for Fully Autonomous and Optimized Bioprocesses

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Tags: Denis Dochain, Automatic, Bioprocesses