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.
2. Modeling and Theory
3. Biosensor Performance Parameters and their Enhancement
4. Fractal Analysis of Harmful Bacteria, Toxins, and Pathogen Detection on Biosensor Surfaces
5. Fractal Binding and Dissociation Kinetics of Disease-Related Compounds on Biosensor Surfaces
6. Fractal Analysis of Binding and Dissociation of Analytes that Help Control Diseases on Biosensor Surfaces
7. Fractal Analysis of Binding and Dissociation of Small Molecules Involved in Drug Discovery on Biosensor Surfaces
8. Fractal Binding and Dissociation Kinetics of Prion-Related Interactions on Biosensor Surfaces
9. Fractal Analysis of Binding and Dissociation of DNA-Analyte Interactions on Biosensor Surfaces
10. Fractal Analysis of Binding and Dissociation of Protein-Analyte Interactions on Biosensor Surfaces
11. Fractal Analysis of Different Compounds Binding and Dissociation Kinetics on Biosensor Surfaces
12. Fractal Analysis Of Binding And Dissociation Kinetics of Environmental Contaminants and Explosives on Biosensor Surfaces
13. Market Size and Economics for Biosensors
Dr. Ajit Sadana has recently retired from the University of Mississippi after 34 years. His expertise is in the area of kinetics of binding and dissociation of analytes on biosensor surfaces.
Neeti Sadana is an Assistant Professor of Anaesthesiology at the Department of Anesthesiology, Oklahoma School of Medicine, University of Oklahoma.