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Updated: Jul 27, 2026
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Bio-layer Interferometry for Measuring Kinetics of Protein-protein Interactions and Allosteric Ligand Effects
Published on: February 18, 2014
Analyte-receptor binding and dissociation kinetics for biosensor applications: a fractal analysis
1Chemical Engineering Department, University of Mississippi, MS 38677-1848, USA.
Biosensors & Bioelectronics
|February 24, 2001
Summary
Fractal analysis reveals that increased surface heterogeneity on biosensors enhances both analyte-receptor binding and dissociation rates. This heterogeneity promotes turbulence, improving mixing and minimizing diffusion limitations for faster kinetics.
Area of Science:
- Biosensor technology
- Surface chemistry
- Physical chemistry
Background:
- Analyte-receptor interactions are crucial for biosensor performance.
- Surface heterogeneity can significantly influence reaction kinetics.
- Existing models may not fully capture complex binding dynamics.
Purpose of the Study:
- To apply fractal analysis to understand analyte-receptor binding and dissociation kinetics.
- To correlate surface heterogeneity (fractal dimension, Df) with rate coefficients.
- To model biosensor reaction mechanisms using fractal geometry.
Main Methods:
- Fractal analysis (single and dual) applied to literature data.
- Modeling binding and dissociation kinetics as a function of fractal dimension (Df).
- Analysis of rate coefficients (kbind, kdiss) dependence on Df.
Main Results:
- Dual-fractal analysis indicates a change in binding mechanism over time.
- Increased surface heterogeneity (higher Df) correlates with increased binding and dissociation rate coefficients.
- Turbulence induced by surface irregularities enhances mixing and minimizes diffusional limitations.
Conclusions:
- Fractal analysis provides a framework for understanding biosensor kinetics.
- Surface heterogeneity is a key factor influencing binding and dissociation rates.
- The method is applicable to various surface-based reactions, including cell-surface interactions.
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