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Understanding Fast and Slow Signal Changes in a Competitive Particle-Based Continuous Biosensor
Sebastian Cajigas1, Arthur M de Jong2,3, Junhong Yan4
1Department of Biomedical Engineering, Eindhoven University of Technology, 5612 AZ, Eindhoven, The Netherlands.
Analytical Chemistry
|June 10, 2025
Summary
This study investigates time-dependent signal changes in glycoalkaloid biosensors. Fast changes are linked to particle-surface interactions, while slow changes stem from molecule dissociation, informing long-term continuous sensing.
Area of Science:
- Biosensor technology
- Analytical chemistry
- Biomolecular interactions
Background:
- Continuous biosensing requires understanding time-dependent sensor property changes.
- Previous work identified molecular loss as a factor in cortisol sensor performance.
- Glycoalkaloid sensors exhibit complex signal dynamics.
Purpose of the Study:
- To investigate the mechanisms behind fast and slow signal changes in a glycoalkaloid biosensor.
- To differentiate the contributions of particle-surface interactions and molecular dissociation to signal drift.
- To provide insights for developing stable, long-term continuous particle-based biosensors.
Main Methods:
- Utilized a glycoalkaloid sensor system.
- Performed single-sided aging experiments to study degradation.
- Analyzed sensor motion patterns to understand particle behavior.
- Implemented different blocking conditions to isolate interaction effects.
Main Results:
- Observed two distinct signal change behaviors: fast and slow.
- Hypothesized that fast changes result from multivalent particle-surface interactions.
- Hypothesized that slow changes arise from gradual analogue molecule dissociation.
- Experimental results support these hypotheses.
Conclusions:
- Distinguished between fast and slow signal dynamics in glycoalkaloid biosensors.
- Identified key molecular mechanisms driving signal instability.
- Results offer strategies for enhancing the long-term stability of particle-based biosensors for continuous monitoring.
