Fractal Analysis of the Binding and Dissociation Kinetics for Different Analytes on Biosensor Surfaces
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Table of contents
- Cover
- Contentsv
- Prefaceix
- Chapter 1. Introduction1
- Cost and Implications of Medical Care of Some Common Diseases1
- Chapter 2. Modeling and Theory5
- 2.1 Introduction5
- 2.2 Theory8
- Chapter 3. Biosensor Performance Parameters and their Enhancement19
- 3.1 Introduction19
- 3.2 Theory21
- 3.3 Results23
- 3.4 Conclusions51
- Chapter 4. Fractal Analysis of Harmful Bacteria, Toxins, and Pathogen Detection on Biosensor Surface55
- 4.1 Introduction55
- 4.2 Theory56
- 4.3 Results58
- 4.4 Conclusions86
- Chapter 5. Fractal Binding and Dissociation Kinetics of Disease-Related Compounds on Biosensor Surfa89
- 5.1 Introduction89
- 5.2 Theory90
- 5.3 Results92
- 5.4 Conclusions118
- Chapter 6. Fractal Analysis of Binding and Dissociation of Analytes that Help Control Diseases on Bi123
- 6.1 Introduction123
- 6.2 Theory124
- 6.3 Results126
- 6.4 Conclusions147
- Chapter 7. Fractal Analysis of Binding and Dissociation of Small Molecules Involved in Drug Discover151
- 7.1 Introduction151
- 7.2 Theory152
- 7.3 Results154
- 7.4 Conclusions181
- Chapter 8. Fractal Binding and Dissociation Kinetics of Prion-Related Interactions on Biosensor Surf185
- 8.1 Introduction185
- 8.2 Theory186
- 8.3 Results187
- 8.4 Conclusions196
- Chapter 9. Fractal Analysis of Binding and Dissociation of DNA–Analyte Interactions on Biosensor S199
- 9.1 Introduction199
- 9.2 Theory200
- 9.3 Results202
- 9.4 Conclusions225
- Chapter 10. Fractal Analysis of Binding and Dissociation of Protein–Analyte Interactions on Biosen229
- 10.1 Introduction229
- 10.2 Theory230
- 10.3 Results232
- 10.4 Conclusions255
- Chapter 11. Fractal Analysis of Different Compounds Binding and Dissociation Kinetics on Biosensor S259
- 11.1 Introduction259
- 11.2 Theory260
- 11.3 Results262
- 11.4 Conclusions292
- Chapter 12. Fractal Analysis of Binding and Dissociation Kinetics of Environmental Contaminants and297
- 12.1 Introduction297
- 12.2 Theory298
- 12.3 Results299
- 12.4 Conclusions312
- Chapter 13. Market Size and Economics for Biosensors317
- 13.1 Introduction317
- 13.2 Collaboration Between Companies, Universities, and State and Governmental Agencies: Trends in C320
- 13.3 Factors that Could help Increase/Decrease Biosensor Markets322
- 13.4 Examples of Biosensor Companies, their Product, and their Financial Backers324
- 13.5 Conclusions331
- Index335
Biosensors are finding increasing applications in different areas. Over the last few years the areas where biosensors may be used effectively has increased dramatically. This book like the previous four books on analyte-receptor binding and dissociation kinetics by this author addresses the often neglected area. The kinetics of binding and dissociation in solution to appropriate receptors immobilized on biosensor surfaces occurs under diffusional limitations on structured surfaces. The receptors immobilized on the biosensor surface contribute to the degree of heterogeneity on the sensor chip surface.
The fractal analysis examples presented throughout the book provide a convenient means to make quantitative the degree of heterogeneity present on the sensor surface, and relates it to the binding and dissociation rate coefficients. The fractal dimension is a quantitative measure of the degree of heterogeneity present on the biosensor surface. The book emphasizes medially-oriented examples. The detection of disease-related analytes is also emphasized. The intent being that if intractable and insidious diseases are detected earlier, they will be controlled better, eventually leading to a better prognosis. Chapter 3 is a new chapter that emphasizes enhancing the relevant biosensor performance parameters such as sensitivity, stability, selectivity, response time, etc.
As usual, as done in previous books by this author, the last chapter provides an update of the economics involved in biosensors, and the difficulties encounters in starting-up a biosensor company.
- Modelling of binding and dissociation kinetics of analyte-receptor reactions on biosensor surfaces: provides physical insights into these reactions occurring on biosensor surfaces. Very few researchers even attempt to analyze the kinetics of these types of reactions.
- Fractal analysis used to model the binding and dissociation kinetics: original and unique approach.
- Economic analysis provided in the last chapter: helps balance the book; besides providing much-needed information not available in the open literature.
- Emphasis on improving biosensor performance parameters: helps make biosensors better.
- Empahsis on medically-related analytes: helps in prognosis of diseases.
The fractal analysis examples presented throughout the book provide a convenient means to make quantitative the degree of heterogeneity present on the sensor surface, and relates it to the binding and dissociation rate coefficients. The fractal dimension is a quantitative measure of the degree of heterogeneity present on the biosensor surface. The book emphasizes medially-oriented examples. The detection of disease-related analytes is also emphasized. The intent being that if intractable and insidious diseases are detected earlier, they will be controlled better, eventually leading to a better prognosis. Chapter 3 is a new chapter that emphasizes enhancing the relevant biosensor performance parameters such as sensitivity, stability, selectivity, response time, etc.
As usual, as done in previous books by this author, the last chapter provides an update of the economics involved in biosensors, and the difficulties encounters in starting-up a biosensor company.
- Modelling of binding and dissociation kinetics of analyte-receptor reactions on biosensor surfaces: provides physical insights into these reactions occurring on biosensor surfaces. Very few researchers even attempt to analyze the kinetics of these types of reactions.
- Fractal analysis used to model the binding and dissociation kinetics: original and unique approach.
- Economic analysis provided in the last chapter: helps balance the book; besides providing much-needed information not available in the open literature.
- Emphasis on improving biosensor performance parameters: helps make biosensors better.
- Empahsis on medically-related analytes: helps in prognosis of diseases.