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Contents  
 
Preface XIII
List of Contributors XV
1 Bioelectronics – An Introduction
Itamar Willner and Eugenii Katz
1
References 12
2 Electron Transfer Through Proteins
Jay R.Winkler,Harry B. Gray,Tatiana R. Prytkova, IgorV.Kurnikov, and David N. Beratan
15
2.1 Electronic Energy Landscapes 15
2.2 Theory of Electron Tunneling 15
2.3 Tunneling Pathways 17
2.4 Coupling-limited ET Rates and Tests of the Pathway Model 19
2.5 Multiple Tunneling Pathway Models 23
2.6 Interprotein Electron Transfer: Docking and Tunneling 27
2.7 Some New Directions in Electron Transfer Theory and Experiment 28
2.8 Concluding Remarks 31
References 31
3 Reconstituted Redox Enzymes on Electrodes:From Fundamental Understanding of Electron Transfer at Functionalized Electrode Interfaces to Biosensor and Biofuel Cell Applications
Bilha Willner and Itamar Willner
35
3.1 Introduction 35
3.2 Electrodes Functionalized with Reconstituted Redox Proteins 43
3.2.1 Reconstituted Flavoenzyme-Electrodes Using Molecular or Polymer Relay Systems 43
3.2.2 Electrical Contacting of Flavoenzymes by Reconstitution on Carbon Nanotubes and Conducting Polymer Wires 53
3.2.3 Electrical Contacting of Flavoenzymes by Means of Metallic Nanoparticles 57
3.2.4 Integrated Electrically Contacted Electrodes Composed of Reconstituted Quinoproteins 65
3.2.5 Reconstituted Electrically Contacted Hemoproteins 67
3.2.6 Reconstituted de novo Hemoproteins on Electrodes 69
3.3 Electrical Contacting of Redox Proteins by Cross-linking of Cofactor-Enzyme Affinity Complexes on Surfaces 73
3.3.1 Integrated NAD(P)+-Dependent Enzyme-Electrodes 73
3.3.2 Integrated Electrically Contacted Hemoprotein Electrodes 80
3.4 Reconstituted Enzyme-Electrodes for Biofuel Cell Design 83
3.5 Conclusions and Perspectives 91
References 93
4 Application of Electrically Contacted Enzymes for Biosensors
Frieder W. Scheller, Fred Lisdat, and Ulla Wollenberger
99
4.1 Introduction 99
4.2 Biosensors – Precursors of Bioelectronics 99
4.3 Via Miniaturization to Sensor Arrays – The Biochip 102
4.4 The Route to Electrically Contacted Enzymes in Biosensors 104
4.5 Routine Applications of Enzyme Electrodes 107
4.6 Research Applications of Directly Contacted Proteins 109
4.6.1 Protein Electrodes for the Detection of Oxygen-derived Radicals 109
4.6.2 Cytochrome P 450 – An Enzyme Family Capable of Direct Electrical Communication 117
4.7 Conclusions 123
References 123
5 Electrochemical DNA Sensors
Emil Palecek and Miroslav Fojta
127
5.1 Introduction 127
5.1.1 Indicator Electrodes 128
5.1.2 Electrochemical Methods 128
5.2 Natural Electroactivity and Labeling of Nucleic Acids 129
5.2.1 Electroactivity of Nucleic Acid Components 129
5.2.2 Analysis of Unlabeled Nucleic Acids 131
5.2.3 Electroactive Labels of Nucleic Acids 136
5.2.4 Signal Amplification 140
5.3 Sensors for DNA and RNA Hybridization 140
5.3.1 DNA Hybridization 142
5.3.2 Electrochemical Detection in DNA Sensors 143
5.3.3 Single-surface Techniques 143
5.3.4 Double-surface Techniques 153
5.3.5 Concluding Remarks to DNA Hybridization Sensors 158
5.4 Sensors for DNA Damage 159
5.4.1 DNA Damage 159
5.4.2 Relations Between DNA Damage and its Electrochemical Features 162
5.4.3 DNA-modified Electrodes as Sensors for DNA Damage 167
5.4.4 Sensors for DNA Strand Breaks 168
5.4.5 Detection of Covalent Damage to DNA Bases 170
5.4.6 Genotoxic Substances Interacting with DNA Noncovalently 173
5.4.7 Electrochemically Induced DNA Damage 176
5.4.8 Analytical Applications of Electrochemical Sensors for DNA Damage 177
5.4.9 Concluding Remarks to DNA Damage Sensors 180
References 181
6 Probing Biomaterials on Surfaces at the Single Molecule Level for Bioelectronics
Barry D. Fleming, Shamus J. O’Reilly, and H. Allen O. Hill
193
6.1 Methods for Achieving Controlled Adsorption of Biomolecules 194
6.2 Methods for Investigating Adsorbed Biomolecules 195
6.3 Surfaces Patterned with Biomolecules 197
6.4 Attempts at Addressing Single Biomolecules 201
6.5 Conclusions 205
References 207
7 Interfacing Biological Molecules with Group IV Semiconductors for Bioelectronic Sensing
Robert J. Hamers
209
7.1 Introduction 209
7.2 Semiconductor Substrates for Bioelectronics 210
7.2.1 Silicon 210
7.2.2 Diamond 211
7.3 Chemical Functionalization 213
7.3.1 Covalent Attachment of Biomolecules to Silicon Surfaces 213
7.3.2 Hybridization of DNA at DNA-modified Silicon Surfaces 215
7.3.3 Covalent Attachment and Hybridization of DNA at Diamond Surfaces 217
7.4 Electrical Characterization of DNA-modified Surfaces 219
7.4.1 Silicon 219
7.4.2 Impedance Spectroscopy of DNA-modified Diamond Surfaces 225
7.5 Extension to Antibody–Antigen Detection 225
7.6 Summary 227
References 228
8 Biomaterial-nanoparticle Hybrid Systems for Sensing and Electronic Devices
Joseph Wang,Eugenii Katz,and Itamar Willner
231
8.1 Introduction 231
8.2 Biomaterial–nanoparticle Systems for Bioelectrochemical Applications 232
8.2.1 Bioelectrochemical Systems Based on Nanoparticle-enzyme Hybrids 232
8.2.2 Electroanalytical Systems for Sensing of Biorecognition Events Based on Nanoparticles 235
8.3 Application of Redox-functionalized Magnetic Particles for Triggering and Enhancement of Electrocatalytic and Bioelectrocatalytic Processes 250
8.4 Conclusions and Perspectives 259
References 261
9 DNA-templated Electronics
Kinneret Keren, Uri Sivan, and Erez Braun
265
9.1 Introduction and Background 265
9.2 DNA-templated Electronics 266
9.3 DNA Metallization 268
9.4 Sequence-specific Molecular Lithography 271
9.5 Self-assembly of a DNA-templated Carbon Nanotube Field-effect Transistor 276
9.6 Summary and Perspective 279
References 284
10 Single Biomolecule Manipulation for Bioelectronics
Yoshiharu Ishii and Toshio Yanagida
287
10.1 Single Molecule Manipulation 287
10.1.1 Glass Microneedle 289
10.1.2 Laser Trap 289
10.1.3 Space and Time Resolution of Nanometry 290
10.1.4 Molecular Glues 291
10.1.5 Comparisons of the Microneedle and Laser Trap Methods 291
10.2 Mechanical Properties of Biomolecules 291
10.2.1 Protein Polymers 291
10.2.2 Mechanically Induced Unfolding of Single Protein Molecules 294
10.2.3 Interacting Molecules 296
10.3 Manipulation and Molecular Motors 297
10.3.1 Manipulation of Actin Filaments 298
10.3.2 Manipulation of a Single Myosin Molecule 300
10.3.3 Unitary Steps of Myosin 300
10.3.4 Step Size and Unconventional Myosin 302
10.3.5 Manipulation of Kinesin 303
10.4 Different Types of Molecular Motors 304
10.5 Direct Measurements of the Interaction Forces 304
10.5.1 Electrostatic Force Between Positively Charged Surfaces 305
10.5.2 Surface Force Property of Myosin Filaments 305
References 306
11 Molecular Optobioelectronics
Eugenii Katz and Andrew N. Shipway
309
11.1 Introduction 309
11.2 Electronically Transduced Photochemical Switching of Redox-enzyme Biocatalytic Reactions 310
11.2.1 Electronic Transduction of Biocatalytic Reactions Using Redox Enzymes Modified with Photoisomerizable Units 312
11.2.2 Electronic Transduction of Biocatalytic Reactions Using Interactions of Redox Enzymes with Photoisomerizable ‘‘Command Interfaces’’ 316
11.2.3 Electronic Transduction of Biocatalytic Reactions of Redox Enzymes Using Electron Transfer Mediators with Covalently Bound Photoisomerizable Units 322
11.3 Electronically Transduced Reversible Bioaffinity Interactions at Photoisomerizable Interfaces 323
11.3.1 Reversible Immunosensors Based on Photoisomerizable Antigens 326
11.3.2 Biphasic Reversible Switch Based on Bioaffinity Recognition Events Coupled to a Biocatalytic Reaction 330
11.4 Photocurrent Generation as a Transduction Means for Biocatalytic and Biorecognition Processes 332
11.4.1 Enzyme-Biocatalyzed Reactions Coupled to Photoinduced Electron Transfer Processes 332
11.4.2 Biorecognition Events Coupled to Photoinduced Electron Transfer Processes 334
11.5 Conclusions 335
References 336
12 The Neuron-semiconductor Interface
Peter Fromherz
339
12.1 Introduction 339
12.2 Ionic–Electronic Interface 340
12.2.1 Planar Core-coat Conductor 343
12.2.2 Cleft of Cell-silicon Junction 346
12.2.3 Conductance of the Cleft 349
12.2.4 Ion Channels in Cell-silicon Junction 358
12.3 Neuron–Silicon Circuits 362
12.3.1 Transistor Recording of Neuronal Activity 362
12.3.2 Capacitive Stimulation of Neuronal Activity 367
12.3.3 Two Neurons on Silicon Chip 372
12.3.4 Toward Defined Neuronal Nets 377
12.4 Brain–Silicon Chips 383
12.4.1 Tissue-sheet Conductor 383
12.4.2 Transistor Recording of Brain Slice 385
12.4.3 Capacitive Stimulation of Brain Slices 388
12.5 Summary and Outlook 392
References 393
13 S-Layer Proteins in Bioelectronic Applications
Stefan H. Bossmann
395
13.1 Introduction 395
13.1.1 Upcoming Nanotechnology Applications 396
13.2 S-layer Proteins and Porins 396
13.2.1 The Building Principles of Tailored S-layer Proteins Layers 397
13.2.2 Chemical Modification of S-layers 400
13.2.3 Interaction by Noncovalent Forces 401
13.3 Experimental Methods Developed for Hybrid Bioelectronic Systems 402
13.3.1 Electron Microscopy 402
13.3.2 Combined X-Ray and Neutron Reflectometry 402
13.3.3 Atomic Force Microscopy Using Protein-functionalized AFM-cantilever Tips 403
13.3.4 Scanning Electrochemical Microscopy 404
13.4 Applications of S-layer Proteins at Surfaces 404
13.4.1 S-layer Proteins as Permeability Barriers 404
13.4.2 S-layer Proteins at Lipid Interfaces 405
13.4.3 Introduction of Supramolecular Binding Sites into S-layer Lattices 412
13.5 Molecular Nanotechnology Using S-layers 414
13.5.1 Patterning of S-layer Lattices by Deep Ultraviolet Irradiation (DUV) 414
13.5.2 Synthesis of Semiconductor and Metal Nanoparticles Using S-layer Templates Design of Gold and Platinum Superlattices Using the Crystalline Surfaces Formed by the S-layer Protein of Bacillus sphaericus as a Biotemplate 416
13.5.3 Generation of S-layer Lattice-supported Platinum Nanoclusters 418
13.5.4 Formation and Selective Metallization of Protein Tubes Formed by the S-layer Protein of Bacillus sphaericus NCTC 9602
13.5.5 S-layer/Cadmium Sulfide Superlattices 421
13.6 Immobilization and Electrochemical Conducting of Enzymes in S-layer Lattices 421
13.6.1 S-layer and Glucose Oxidase-based Amperometric Biosensors 421
13.6.2 S-layer and Glucose Oxidase–based Optical Biosensors 422
13.7 Conclusions 423
References 423
14 Computing with Nucleic Acids
Milan N. Stojanovic, Darko Stefanovic, Thomas LaBean, and Hao Yan
427
14.1 Introduction 427
14.2 Massively Parallel Approaches 428
14.3 The Seeman–Winfree Paradigm: Molecular Self-assembly 435
14.4 The Rothemund–Shapiro Paradigm: Simulating State Machines 439
14.5 Nucleic Acid Catalysts in Computation 442
14.6 Conclusion 453
References 454
15 Conclusions and Perspectives
Itamar Willner and Eugenii Katz
457
Subject Index 463

 
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