Abstract
The movement of small particles and molecules through nanopore membranes is widespread and has far-reaching implications. Consequently, the development of mathematical models is essential for understanding these processes on a micro level, leading to deeper insights. In this endeavor, we suggested a model based on a set of empirical equations to predict the transport of substances through a solid-state nanopore and the associated signals generated during their translocation. This model establishes analytical relationships between the ionic current and electrical double-layer potential observed during analyte translocation and their size, charge, and mobility in an electrolyte solution. This framework allows for rapid interpretation and prediction of the nanopore system’s behavior and provides a means for quantitatively determining the physical properties of molecular analytes. To illustrate the analytical capability of this model, ceria nanoparticles were investigated while undergoing oxidation or reduction within an original nanopore device. The results obtained were found to be in good agreement with predictions from physicochemical methods. This developed approach and model possess transferable utility to various porous materials, thereby expediting research efforts in membrane characterization and the advancement of nano- and ultrafiltration or electrodialysis technologies.
| Original language | English |
|---|---|
| Pages (from-to) | 17619-17630 |
| Number of pages | 12 |
| Journal | Journal of Physical Chemistry C |
| Volume | 128 |
| Issue number | 41 |
| DOIs | |
| State | Published - Oct 17 2024 |
Bibliographical note
Publisher Copyright:© 2024 The Authors. Published by American Chemical Society.
Funding
We would like to acknowledge Clemson University Palmetto cluster and its staff for support. This work was completed with financial and resource support from the Bill and Melinda Gates Foundation through the Grand Challenge Explorations Initiative, an anonymous Venture group, the NSF REU program, the Institute for Biological Interfaces of Engineering at Clemson University, Clemson University Department of Bioengineering, Clemson Computing and Information Technology, the Cyberinfrastructure Technology Integration group at Clemson University, and the Georgia Institute of Technology Institute for Electronics and Nanotechnology. The synthesis and characterization of ceria nanoparticles was supported by the Russian Science Foundation (grant 24-13-00370). This work is partially supported by the University of Georgia startup funds to V.R. This work was completed with financial and resource support from the Bill and Melinda Gates Foundation through the Grand Challenge Explorations Initiative, an anonymous Venture group, the NSF REU program, the Institute for Biological Interfaces of Engineering at Clemson University, Clemson University Department of Bioengineering, Clemson Computing and Information Technology, the Cyberinfrastructure Technology Integration group at Clemson University, and the Georgia Institute of Technology Institute for Electronics and Nanotechnology. The synthesis and characterization of ceria nanoparticles was supported by the Russian Science Foundation (grant 24-13-00370). This work is partially supported by the University of Georgia startup funds to V.R.
| Funders | Funder number |
|---|---|
| Georgia Institute of Technology Institute for Electronics and Nanotechnology | |
| Clemson Computing and Information Technology | |
| Institute for Biological Interfaces of Engineering at Clemson University | |
| Clemson University Department of Bioengineering | |
| Georgia College & State University | |
| Bill and Melinda Gates Foundation | |
| Clemson University Palmetto cluster | |
| Russian Science Foundation | 24-13-00370 |
| National Science Foundation Arctic Social Science Program | 1262991 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- General Energy
- Physical and Theoretical Chemistry
- Surfaces, Coatings and Films