Illanes / Wilson / Vera Problem Solving in Enzyme Biocatalysis

1. Auflage 2013
ISBN: 978-1-118-34177-3
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 344 Seiten, E-Book

Enzyme biocatalysis is a fast-growing area in processbiotechnology that has expanded from the traditional fields offoods, detergents, and leather applications to more sophisticateduses in the pharmaceutical and fine-chemicals sectors andenvironmental management. Conventional applications of industrialenzymes are expected to grow, with major opportunities in thedetergent and animal feed sectors, and new uses in biofuelproduction and human and animal therapy.
In order to design more efficient enzyme reactors and evaluateperformance properly, sound mathematical expressions must bedeveloped which consider enzyme kinetics, material balances, andeventual mass transfer limitations. With a focus on problemsolving, each chapter provides abridged coverage of the subject,followed by a number of solved problems illustrating resolutionprocedures and the main concepts underlying them, plussupplementary questions and answers.
Based on more than 50 years of teaching experience, ProblemSolving in Enzyme Biocatalysis is a unique reference forstudents of chemical and biochemical engineering, as well asbiochemists and chemists dealing with bioprocesses.
Contains: Enzyme properties and applications; enzyme kinetics;enzyme reactor design and operation 146 worked problems andsolutions in enzyme biocatalysis.

Autoren/Hrsg.

Illanes, Andrés

Wilson, Lorena

Vera, Carlos

Inhaltsverzeichnis

Preface ix
Nomenclature xi
Epsilon Software Information xxi
1 Facts and Figures in Enzyme Biocatalysis 1
1.1 Introduction 1
1.2 Enzymes as Process Catalysts 3
1.3 Evolution of Enzyme Biocatalysis: From Hydrolysis toSynthesis 5
1.4 The Enzyme Market: Figures and Outlook 6
References 7
2 Enzyme Kinetics in a Homogeneous System 11
2.1 Introduction 11
2.2 Theory of Enzyme Kinetics 14
2.3 Single-Substrate Reactions 17
2.4 Multiple-Substrate Reactions 19
2.5 Multiple-Enzyme Reactions 21
2.6 Determination of Kinetic Parameters 22
2.7 Effects of Operational Variables on Enzyme Kinetics 24
Solved Problems 29
Supplementary Problems 72
References 84
3 Enzyme Kinetics in a Heterogeneous System 87
3.1 Introduction 87
3.2 Immobilization of Enzymes 87
3.3 Mass-Transfer Limitations in Enzyme Catalysis 92
3.4 Determination of Intrinsic Kinetic and Mass-TransferParameters 102
Solved Problems 105
Supplementary Problems 127
References 138
4 Enzyme Reactor Design and Operation under Ideal Conditions141
4.1 Modes of Operation and Reactor Configurations 141
4.2 Definition of Ideal Conditions 142
4.3 Strategy for Reactor Design and Performance Evaluation143
4.4 Mathematical Models for Enzyme Kinetics, Modes of Operation,and Reactor Configurations under Ideal Conditions 143
Solved Problems 157
Supplementary Problems 174
References 179
5 Enzyme Reactor Design and Operation under Mass-TransferLimitations 181
5.1 Sequential Batch and Continuously Operated Reactors withImmobilized Enzymes 182
5.2 Mathematical Models for Enzyme Kinetics, Modes of Operation,and Reactor Configurations under Mass-Transfer Limitations 183
Solved Problems 185
Supplementary Problems 198
6 Enzyme Reactor Design and Operation under BiocatalystInactivation 203
6.1 Mechanistically Based Mathematical Models of EnzymeInactivation 203
6.2 Effect of Catalytic Modulators on Enzyme Inactivation205
6.3 Mathematical Models for Different Enzyme Kinetics, Modes ofOperation, and Reactor Configurations under BiocatalystInactivation 206
6.4 Mathematical Models for Enzyme Kinetics, Modes of Operation,and Reactor Configurations under Simultaneous Mass-TransferLimitations and Enzyme Inactivation 212
6.5 Strategies for Reactor Operation under BiocatalystInactivation 213
Solved Problems 215
Supplementary Problems 233
References 240
7 Optimization of Enzyme Reactor Operation 243
7.1 Strategy for the Optimization of Enzyme Reactor Performance244
7.2 Mathematical Programming for Static Optimization 247
7.3 Dynamic Programming 248
7.4 Statistical Optimization by Surface Response Methodology249
Solved Problems 254
Supplementary Problems 272
References 275
Appendix A Mathematical Methods 277
A.1. Newton's Method 277
A.2. Curve Fitting by Least Squares 280
A.3. Solving Ordinary Differential Equations 296
A.4. Numerical Methods for Solving Differential Equations302
References 310
Index 311