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How Reactivity Variability of Biofunctionalized Particles Is Determined by Superpositional Heterogeneities
Rafiq M Lubken1,2, Arthur M de Jong3,2, Menno W J Prins1,3,2
1Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven 5612 AP, The Netherlands.
ACS Nano
|January 4, 2021
Summary
Understanding particle property variations is key for precise targeted nanomedicine and biosensing. This study quantifies how multiple heterogeneities collectively impact particle reactivity, offering optimization guidelines.
Area of Science:
- Biomedical engineering
- Nanotechnology
- Molecular recognition
Background:
- Particle biofunctionalization with targeting moieties is crucial for molecular recognition.
- Applications include targeted nanomedicine and particle-based biosensing.
- Precision in these applications depends on understanding particle property heterogeneities.
Purpose of the Study:
- To develop a methodology for studying the collective impact of particle heterogeneities on reactivity variability.
- To quantify stochastic, interparticle, and intraparticle variabilities.
- To investigate how system parameters influence these variabilities.
Main Methods:
- Combined experimental and simulation approaches.
- Utilized single-molecule techniques for quantification.
- Analyzed effects of particle interaction area, size, targeting moiety density, and particle number.
Main Results:
- Demonstrated how superpositional heterogeneities collectively generate reactivity variability per particle.
- Quantified the contribution of different variability sources.
- Showcased the changing influence of each contributor based on system parameters.
Conclusions:
- Superpositional heterogeneities significantly impact reactivity variability in biomedical applications.
- Provided insights into optimizing precision in the presence of multiple variability sources.
- Offered guidelines for enhancing the performance of targeted nanomedicine and biosensing.
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