Laurent Simon

Control of Biological and Drug-Delivery Systems for Chemical, Biomedical, and Pharmaceutical Engineering (eBook, PDF)

• Format: PDF

Produktbeschreibung

Enables readers to apply process dynamics and control theory to solve bioprocess and drug delivery problems The control of biological and drug delivery systems is critical to the health of millions of people worldwide. As a result, researchers in systems biology and drug delivery rely on process dynamics and control theory to build our knowledge of cell behavior and to develop more effective therapeutics, controlled release devices, and drug administration protocols to manage disease. Written by a leading expert and educator in the field, this text helps readers develop a deep understanding of process dynamics and control theory in order to analyze and solve a broad range of problems in bioprocess and drug delivery systems. For example, readers will learn how stability criteria can be used to gain new insights into the regulation of biological pathways and lung mechanics. They'll also learn how the concept of a time constant is used to capture the dynamics of diffusive processes. Readers will also master such topics as external disturbances, transfer functions, and input/output models with the support of the author's clear explanations, as well as: * Detailed examples from the biological sciences and novel drug delivery technologies * 160 end-of-chapter problems with step-by-step solutions * Demonstrations of how computational software such as MATLAB and Mathematica solve complex drug delivery problems Control of Biological and Drug-Delivery Systems for Chemical, Biomedical, and Pharmaceutical Engineering is written primarily for undergraduate chemical and biomedical engineering students; however, it is also recommended for students and researchers in pharmaceutical engineering, process control, and systems biology. All readers will gain a new perspective on process dynamics and control theory that will enable them to develop new and better technologies and therapeutics to treat human disease.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 384
• Erscheinungstermin: 10. Dezember 2012
• Englisch
• ISBN-13: 9781118396469
• Artikelnr.: 37356338

Autorenporträt

LAURENT SIMON, PhD, is Associate Professor of Chemical Engineering and Associate Director of the Pharmaceutical Engineering Program at New Jersey Institute of Technology. His research and teaching interests focus on modeling, analysis, and control of drug delivery systems. Dr. Simon is the author of Laboratory Online, a series of educational and interactive modules that help engineers build a strong understanding of drug delivery technologies and their underlying engineering principles. During his time at NJIT, Dr. Simon has received the Excellence in Teaching Award, Master Teacher Designation, and Newark College of Engineering Saul K. Fenster Innovation in Engineering Education Award.

Inhaltsangabe

PREFACE xi ACKNOWLEDGMENTS xv 1 INTRODUCTION 1 1.1 The Role of Process
Dynamics and Control in Branches of Biology 1 1.2 The Role of Process
Dynamics and Control in Drug-Delivery Systems 10 1.3 Instrumentation 12 1.4
Summary 18 Problems 18 References 19 2 MATHEMATICAL MODELS 21 2.1
Background 22 2.2 Dynamics of Bioreactors 27 2.3 One- and Two-Compartment
Models 34 2.4 Enzyme Kinetics 37 2.5 Summary 39 Problems 39 References 41 3
LINEARIZATION AND DEVIATION VARIABLES 43 3.1 Computer Simulations 43 3.2
Linearization of Systems 44 3.3 Glycolytic Oscillation 55 3.4
Hodgkin-Huxley Model 57 3.5 Summary 60 Problems 61 References 63 4
STABILITY CONSIDERATIONS 65 4.1 Definition of Stability 65 4.2 Steady-State
Conditions and Equilibrium Points 79 4.3 Phase-Plane Diagrams 80 4.4
Population Kinetics 80 4.5 Dynamics of Bioreactors 83 4.6 Glycolytic
Oscillation 85 4.7 Hodgkin-Huxley Model 87 4.8 Summary 88 Problems 88
References 91 5 LAPLACE TRANSFORMS 93 5.1 Definition of Laplace Transforms
93 5.2 Properties of Laplace Transforms 95 5.3 Laplace Transforms of
Functions, Derivatives, and Integrals 96 5.4 Laplace Transforms of Linear
Ordinary Differential Equation (ODE) and Partial Differential Equation
(PDE) 104 5.5 Continuous Fermentation 108 5.6 Two-Compartment Models 110
5.7 Gene Regulation 111 5.8 Summary 113 Problems 113 Reference 115 6
INVERSE LAPLACE TRANSFORMS 117 6.1 Heaviside Expansions 117 6.2 Residue
Theorem 126 6.3 Continuous Fermentation 134 6.4 Degradation of Plasmid DNA
136 6.5 Constant-Rate Intravenous Infusion 138 6.6 Transdermal
Drug-Delivery Systems 139 6.7 Summary 146 Problems 146 References 148 7
TRANSFER FUNCTIONS 149 7.1 Input-Output Models 149 7.2 Derivation of
Transfer Functions 150 7.3 One- and Two-Compartment Models:
Michaelis-Menten Kinetics 154 7.4 Controlled-Release Systems 157 7.5
Summary 158 Problems 158 8 DYNAMIC BEHAVIORS OF TYPICAL PLANTS 163 8.1
First-, Second- and Higher-Order Systems 163 8.2 Reduced-Order Models 167
8.3 Transcendental Transfer Functions 169 8.4 Time Responses of Systems
with Rational Transfer Functions 171 8.5 Time Responses of Systems with
Transcendental Transfer Functions 190 8.6 Bone Regeneration 192 8.7 Nitric
Oxide Transport to Pulmonary Arterioles 193 8.8 Transdermal Drug Delivery
194 8.9 Summary 194 Problems 195 References 197 9 CLOSED-LOOP RESPONSES
WITH P, PI, AND PID CONTROLLERS 199 9.1 Block Diagram of Closed-Loop
Systems 200 9.2 Proportional Control 203 9.3 PI Control 204 9.4 PID Control
206 9.5 Total Sugar Concentration in a Glutamic Acid Production 207 9.6
Temperature Control of Fermentations 209 9.7 DO Concentration 213 9.8
Summary 214 Problems 215 References 217 10 FREQUENCY RESPONSE ANALYSIS 219
10.1 Frequency Response for Linear Systems 219 10.2 Bode Diagrams 227 10.3
Nyquist Plots 229 10.4 Transdermal Drug Delivery 232 10.5 Compartmental
Models 236 10.6 Summary 239 Problems 239 References 240 11 STABILITY
ANALYSIS OF FEEDBACK SYSTEMS 243 11.1 Routh-Hurwitz Stability Criterion 243
11.2 Root Locus Analysis 248 11.3 Bode Stability Criterion 249 11.4 Nyquist
Stability Criterion 254 11.5 Cheyne-Stokes Respiration 257 11.6 Regulation
of Biological Pathways 262 11.7 Pupillary Light Reflex 264 11.8 Summary 265
Problems 265 References 267 12 DESIGN OF FEEDBACK CONTROLLERS 269 12.1
Tuning Methods for Feedback Controllers 269 12.2 Regulation of Glycemia 279
12.3 Dissolved Oxygen Concentration 282 12.4 Control of Biomass in a
Chemostat 284 12.5 Controlled Infusion of Vasoactive Drugs 285 12.6 Bone
Regeneration 286 12.7 Fed-Batch Biochemical Processes 288 12.8 Summary 289
Problems 289 References 291 13 FEEDBACK CONTROL OF DEAD-TIME SYSTEMS 293
13.1 Smith Predictor-Based Methods 294 13.2 Control of Biomass 300 13.3
Zymomonas mobilis Fermentation for Ethanol Production 302 13.4 Fed-Batch
Cultivation of Acinetobacter calcoaceticus RAG-1 304 13.5 Regulation of
Glycemia 304 13.6 Summary 306 Problems 306 References 309 14 CASCADE AND
FEEDFORWARD CONTROL STRATEGIES 311 14.1 Cascade Control 311 14.2
Feedforward Control 317 14.3 Insulin Infusion 321 14.4 A Gaze Control
System 323 14.5 Control of pH 326 14.6 Summary 330 Problems 331 References
333 15 EFFECTIVE TIME CONSTANT 335 15.1 Linear Second-Order ODEs 335 15.2
Sturm-Liouville (SL) Eigenvalue Problems 337 15.3 Relaxation Time Constant
340 15.4 Implementation in Mathematica(r) 342 15.5 Controlled-Release
Devices 342 15.6 Summary 343 Problems 344 References 345 16 OPTIMUM CONTROL
AND DESIGN 347 16.1 Orthogonal Collocation Techniques 348 16.2 Dynamic
Programming 350 16.3 Optimal Control of Drug-Delivery Rates 350 16.4
Optimal Design of Controlled-Release Devices 351 16.5 Implementation in
Mathematica(r) 352 16.6 Summary 358 Problems 359 References 360 INDEX 361

Rezensionen

"This text -- featuring examples from the biological sciences, including novel drug-delivery systems -- will help students and pharmaceutical researchers to develop a better understanding of process dynamics and control theory, so that they can analyze and solve a variety of problems in bioprocess and drug-delivery systems." (Chemical Engineering Progress, 21 May 2013)