生物学のための反応工学(テキスト・第3版)<br>Biological Reaction Engineering : Dynamic Modeling Fundamentals with 80 Interactive Simulation Examples (3. Aufl. 2021 XXVI S. 300 SW-Abb., 16 Tabellen 244 mm)

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生物学のための反応工学(テキスト・第3版)
Biological Reaction Engineering : Dynamic Modeling Fundamentals with 80 Interactive Simulation Examples (3. Aufl. 2021 XXVI S. 300 SW-Abb., 16 Tabellen 244 mm)

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  • 製本 Hardcover:ハードカバー版/ページ数 500 p.
  • 言語 ENG
  • 商品コード 9783527325245
  • DDC分類 660

Full Description

This practical book presents the modeling of dynamic biological engineering processes in a readily comprehensible manner, using the unique combination of simplified fundamental theory and direct hands-on computer simulation. The mathematics is kept to a minimum, and yet the 60 examples illustrate almost every aspect of biological engineering science, with each one described in detail, including the model equations. The programs are written in the modern user-friendly simulation language Berkeley Madonna, which can be run on both Windows PC and Power-Macintosh computers.

Madonna solves models comprising many ordinary differential equations using very simple programming, including arrays. It is so powerful that the model parameters may be defined as "sliders", which allow the effect of their change on the model behavior to be seen almost immediately. Data may be included for curve fitting, and sensitivity or multiple runs may be performed. The results can be viewed simultaneously on multiple-graph windows or by using overlays. The examples can be varied to fit any real situation, and the suggested exercises provide practical guidance.

The extensive teaching experience of the authors is reflected in this well-balanced presentation, which is suitable for the teacher, student, biochemist or the engineer.

Contents

Preface xiii

Acknowledgments xxi

Nomenclature for Part I xxiii

List of Simulation Examples xxviii

Part I Principles of Bioreactor Modeling 1

1 Modeling Principles 3

1.1 Fundamentals of Modeling 3

1.2 Development and Meaning of Dynamic Differential Balances 9

1.3 Formulation of Mass Balance Equations 13

1.4 Additional Relationships 29

1.5 Thermodynamics and Equilibrium Relationships 35

1.6 Energy Balancing for Bioreactors 38

1.7 Time Constants 43

2 Basic Bioreactor Concepts 47

2.1 Information for Bioreactor Modeling 47

2.2 Bioreactor Operation 48

3 Biological Kinetics 57

3.1 Enzyme Kinetics 58

3.2 Simple Microbial Kinetics 65

3.3 Interacting (Micro-)organisms 72

3.4 Structured Kinetic Models 77

4 Basic Bioreactor Modeling 91

4.1 General Balances for Tank-type Biological Reactors 91

4.2 Modeling Tubular Plug Flow Bioreactors 102

5 Mass Transfer 105

5.1 Mass Transfer in Biological Reactors 105

5.2 Interphase Gas-Liquid Mass Transfer 106

5.3 General Oxygen Balances for Gas-Liquid Transfer 109

5.4 Models for Oxygen Transfer in Large-scale Bioreactors 120

6 Diffusion and Biological Reaction in Immobilized Biocatalyst Systems 127

6.1 External Mass Transfer 128

6.2 Internal Diffusion and Reaction Within Biocatalysts 130

7 Automatic Bioprocess Control Fundamentals 143

7.1 Elements of Feedback Control 144

7.2 Measurement of Process Variables 144

7.3 Types of Controller Action 147

7.4 Controller Tuning 150

7.5 Advanced Control Strategies 153

7.6 Application Strategies of Bioprocess Control 155

8 Basic Cell and Bioreactor Models 159

8.1 Basic Cell Balances 160

8.2 The Link of the Cell Balances to a Bioreactor 162

8.3 Organism Modeling 168

References Part I and Recommended Textbooks and References for Further Reading 173

Part II Dynamic Bioprocess Modeling and Simulation

Examples Using the Berkeley Madonna Simulation Language 187

9 Dynamic Bioprocess Modeling Examples 189

9.1 Modeling a Roman Fountain 190

9.2 Modeling a Lake 191

9.3 Modeling a Mammalian Cell Recirculation Reactor with External Aeration 192

9.4 Modeling Protein Synthesis and Secretion in a Eukaryotic Cell 193

9.5 Modeling a Liver Sinusoid 194

10 Simulation Examples of Biological Reaction Processes Using Berkeley Madonna 197

10.1 Introductory Simulation Examples 199

10.2 Batch Reactors 229

10.3 Fed-batch Reactors 247

10.4 Continuous Reactors 275

10.5 Oxygen Uptake Systems 329

10.6 Diffusion Systems 361

10.7 Controlled Reactors 393

10.8 Membrane and Cell Retention Reactors 419

10.9 Multi-organism Systems 447

10.10 Structured and Metabolic Network Models 487

Appendix A Using the Berkeley Madonna Language and Accessing the Simulation Examples: A Short Guide 519

A.1. Computer Requirements 519

A.2. Downloading Simulation Examples and the Berkeley Madonna Program for this Book 519

A.3. Running Programs 520

Index 521