Routes for nanoparticle translocation through polymer-brush-modified nanopores
Mario Tagliazucchi1, Kai Huang2, Igal Szleifer2
1INQUIMAE-CONICET and DQIAQF-School of Sciences-University of Buenos Aires, Ciudad Universitaria, Pabellón 2, Ciudad Autónoma de Buenos Aires, C1428EHA, Argentina.
Summary
This study reveals how nanoparticle size and polymer affinity influence translocation routes through nanopores. Optimal translocation rates are achieved at specific intermediate particle sizes, balancing pore-axis and wall-adjacent paths.
Area of Science:
- Nanotechnology
- Polymer Science
- Physical Chemistry
Background:
- Nanopore technology is crucial for sensing and separation.
- Polymer brushes modify nanopore surfaces, affecting transport.
- Understanding nanoparticle translocation is key for optimizing nanopore devices.
Purpose of the Study:
- To theoretically investigate nanoparticle translocation routes through polymer-brush modified nanopores.
- To explore the influence of particle size and polymer affinity on translocation pathways.
- To identify conditions that optimize translocation rates.
Main Methods:
- Molecular theory calculations were employed.
- Explicit consideration of molecular shape, size, conformations, and interactions.
- Three-dimensional free-energy landscapes were computed to map translocation pathways.
Main Results:
- Off-axis translocation routes, deviating from the pore's central axis, were studied for the first time.
- Decreasing particle size or increasing polymer affinity shifts translocation routes towards pore walls.
- An optimal intermediate particle size was identified for the flattest potential of mean force, maximizing translocation rates.
Conclusions:
- Particle size and polymer-brush interactions significantly dictate nanoparticle translocation pathways.
- The study provides a theoretical framework for designing nanopore systems with controlled translocation dynamics.
- Optimizing translocation rates is achievable by tuning particle size relative to polymer-brush properties.
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