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.
Document Type
Article
Publication Date
8-2024
Digital Object Identifier (DOI)
https://doi.org/10.1021/acs.jpcc.4c02722
Funding Information
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 Cyberinfras- tructure Technology Integration group at Clemson University, and the Georgia Institute of Technology Institute for Electronics and Nanotechnology. The synthesis and character- ization 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.
Repository Citation
Bearden, Samuel; Abramyan, Tigran M.; Gil, Dmitry; Johnson, Jessica; Murashko, Anton; Makaev, Sergei; Mai, David; Baranchikov, Alexander; Ivanov, Vladimir; Reukov, Vladimir; and Zhang, Guigen, "Resolving the Size and Charge of Small Particles: A Predictive Model of Nanopore Mechanics" (2024). Chemical and Materials Engineering Faculty Publications. 95.
https://uknowledge.uky.edu/cme_facpub/95
Notes/Citation Information
© 2024 The Authors. Published by American Chemical Society