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Updated: Jun 10, 2025

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Fine-tuning the Size and Minimizing the Noise of Solid-state Nanopores
Published on: October 31, 2013
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Ionic current blockade in a nanopore due to an ellipsoidal particle
Dmitriy V Melnikov1, Nelson R Barker1, Maria E Gracheva1
1Department of Physics, <a href="https://ror.org/03rwgpn18">Clarkson University</a>, Potsdam, New York 13699, USA.
Physical Review. E
|October 19, 2024
Summary
We simulated ionic flow through nanopores with translocating ellipsoidal nanoparticles. New formulas accurately predict ionic current, enabling nanoparticle dimension identification for bionanotechnology applications.
Area of Science:
- Nanoscience
- Biophysics
- Computational Physics
Background:
- Solid-state nanopores are crucial for detecting and characterizing nanoparticles and biomolecules.
- Understanding ionic flow dynamics during particle translocation is key for nanopore sensing.
Purpose of the Study:
- To simulate and model ionic flow through a nanopore during ellipsoidal nanoparticle translocation.
- To develop semi-empirical fitting formulas for predicting ionic current based on particle characteristics.
- To demonstrate the application of these formulas for determining nanoparticle dimensions from experimental data.
Main Methods:
- Numerical solution of the Poisson-Nernst-Planck equations.
- Simulation of ionic flow with ellipsoidal nanoparticles of varying aspect ratios, sizes, and orientations.
- Development and validation of semi-empirical fitting formulas.
Main Results:
- Computed ionic current values for translocating ellipsoidal nanoparticles.
- Developed semi-empirical formulas describing computed data with <5% accuracy.
- Demonstrated the utility of the formulas for inferring nanoparticle dimensions.
Conclusions:
- The developed semi-empirical formulas accurately model ionic current during ellipsoidal nanoparticle translocation.
- These formulas provide a method for identifying nanoparticle dimensions using nanopore experimental data.
- The findings have potential applications in bionanotechnology, particularly in nanoparticle characterization.
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