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Produktbild: New Directions in Bioprocess Modeling and Control
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New Directions in Bioprocess Modeling and Control Maximizing Process Analytical Technology Benefits

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.01.2021

Verlag

Instrument Society of America

Seitenzahl

496

Maße (L/B/H)

18,1/25,7/3,2 cm

Gewicht

1024 g

Auflage

2nd edition

Sprache

Englisch

ISBN

978-1-64331-104-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.01.2021

Verlag

Instrument Society of America

Seitenzahl

496

Maße (L/B/H)

18,1/25,7/3,2 cm

Gewicht

1024 g

Auflage

2nd edition

Sprache

Englisch

ISBN

978-1-64331-104-3

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: GPSR Kontakt

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  • Produktbild: New Directions in Bioprocess Modeling and Control

  • Acknowledgments xiii
    Preface xv
    About the Authors xvii

    Chapter 1 Opportunities 1
    1.1¿¿Introduction 1
    1.2¿¿Analysis of Variability 4
    1.3¿¿Transfer of Variability 16
    1.4¿¿Online Indication of Performance 24
    1.5¿¿Optimizing Performance 27
    1.6¿¿PAT 28
    1.7¿¿Insights 30
    1.8¿¿Best Practices 32

    Chapter 2 Dynamics 35
    2.1¿¿Introduction 35
    2.2¿¿Performance Limits 36
    2.3¿¿Self-Regulating Processes 47
    2.4¿¿Integrating Processes 52
    2.5¿¿Wireless Devices and Analyzers 55
    2.6¿¿Best Practices 59

    Chapter 3 Basic Control 61
    3.1¿¿Introduction 61
    3.2¿¿Key Process Measurements 62
    3.3¿¿Control Valves and VFDs 64
    3.4¿¿PID Fundamentals 67
    3.5¿¿PID Form and Structure 72
    3.6¿¿PID Tuning 73
    3.7¿¿PID Options 83
    3.8¿¿PID Performance 84
    3.9 Control Strategies 96
    3.10 Best Practices 100

    Chapter 4 Model-Predictive Control 109
    4.1¿¿Introduction 109
    4.2¿¿Capabilities and Limitations 111
    4.3 Multiple Manipulated Variables 119
    4.4¿¿Optimization 127
    4.5 Mammalian Cell Bioreactor Optimization 135
    4.6 MPC Best Practices 137

    Chapter 5 Digital Twin 143
    5.1¿¿Introduction 143
    5.2¿¿Key Features 145
    5.3 Spectrum of Uses 151
    5.4¿¿Implementation 162
    5.5¿¿Conclusion 168
    5.6 Digital Twin Best Practices 168

    Chapter 6 First-Principle Models 173
    6.1 Introduction 173
    6.2 Modeling Challenges 174
    6.3 Modeling Opportunities 175
    6.4 Modeling Breakthroughs 177
    6.5 General Form of Kinetics 178
    6.6 Media Ordinary Differential Equations with Speedup Factors 179
    6.7 Concentration and Flow of Charges, Manipulated and Recycle Streams 182
    6.8 Specific Growth Rate Equations with Bias and Gain Terms 183
    6.9 Cell Death (Lysis) 186
    6.10 Specific Product Formation Rate Equations with Bias and Gain Terms 187
    6.11 Product Consumption and Degradation 188
    6.12 Specific By-product Formation Rate Equations with Bias and Gain Terms 188
    6.13 Utilization Rates 189
    6.14 OUR and Carbon Dioxide Production Rate 190
    6.15 Agitation and Sparge 190
    6.16 Dissolved Gas ODEs with Speedup Factors 193
    6.17 Parameters and Variables 194
    6.18 Best Practices 202

    Chapter 7 Analytical Technologies 207
    7.1¿¿Introduction 207
    7.2¿¿Overview 208
    7.3¿¿DO 208
    7.4¿¿Dissolved Carbon Dioxide 210
    7.5¿¿Turbidity 211
    7.6¿¿Dielectric Spectroscopy 213
    7.7¿¿Near-Infrared Spectroscopy 214
    7.8¿¿Mass Spectrometers 214
    7.9¿¿BioProfile FLEX2 215
    7.10¿¿Liquid Chromatographs 217
    7.11¿¿Best Practices 218

    Chapter 8 Data Analytics 221
    8.1 Introduction 221
    8.2 PCA Background 223
    8.3 Multiway PCA 238
    8.4 Model-Based PCA 246
    8.5 Fault Detection 250
    8.6 Data Analytics Best Practices 257

    Chapter 9 Models to Improve Operator, Automation, and Process Performance 265
    9.1 Introduction 265
    9.2 Overview 267
    9.3 Bountiful Boundaries 268
    9.4 Data Drives Dynamics 269
    9.5 Digitizing the Plant for Process Performance 270
    9.6 Titration Curve Modeling 272
    9.7 Equipment Modeling 275
    9.8 Sparge Modeling 277
    9.9 Kinetics Modeling 279
    9.10 Instrumentation Modeling 284
    9.11 Speedup 296
    9.12 Performance Monitoring 297
    9.13 Generation and Fitting of Profiles 298
    9.14 Simplifications and Practical Solutions 300
    9.15 Best Practices 302

    References 304

    Appendix A: Automation System Performance Top 10 Concepts 307
    Appendix B: Bioprocess Biology 323
    Appendix C: Enhanced PID Controller for Wireless and Analyzer Applications 335
    Appendix D: Modern Myths 355
    Appendix E: Enzyme Inactivity Decreased by Controlling the pH with a Family of Bézier Curves 357
    Appendix F: First-Principle Process Relationships 369
    Appendix G: Gas Pressure Dynamics 387
    Appendix H: Charge Balance to Model pH 389
    Appendix I: Interactive to Noninteractive Time Constant Conversion 399
    Appendix J: Jacket and Coil Temperature Control 403
    Appendix K: PID Forms and Conversion of Tuning Settings 409
    Appendix L: Liquid Mixing Dynamics 417
    Appendix M: Mammalian Bioreactor Model 421
    Appendix N: Debottlenecking Using Sensitivity Analysis 427

    Bibliography 437
    Index 449