1. Transmembrane transport characterization across ionic redox transistors using surface-tracked scanning ion conductance microscopy
- Author
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Vijay Venkatesh, Travis Hery, and Vishnu Baba Sundaresan
- Subjects
Ionic redox transistor ,Shear-force ,Transmembrane transport ,Scanning ion conductance microscopy ,Renewable energy sources ,TJ807-830 ,Chemical technology ,TP1-1185 ,Production of electric energy or power. Powerplants. Central stations ,TK1001-1841 - Abstract
A fundamental understanding of ion transport at the nanoscale is critical to the development of efficient chemical separation membranes, catalysts, ionic/bio-inspired materials, and its scale up into multi-functional ionic devices. Electrochemical imaging using scanning probe microscopy hardware has provided a method to visualize and understand processes that occur at the surface of ionic active materials. The suite of scanning probe microscopy techniques developed over the last few years are limited to imaging surface-level phenomena and have not been applied to investigate transmembrane properties of synthetic and natural membranes with high spatial and temporal resolution. In this article, we demonstrate the application our recently developed ‘surface-tracked scanning ion conductance microscopy’ technique to characterize voltage-regulated ion transport in an ionic redox transistor. The ionic redox transistor exhibits controlled transmembrane ion transport as a function of its electrochemical redox state. The technique presented in this article uses shear force measured between the nanopipette and ionic substrate to image topography of the porous substrate and simultaneously characterize topography-correlated transmembrane transport through the ionic redox transistor. The transmembrane conductance measured across an array of pores within the ionic redox transistor varies from 0.004 μS/cm (OFF state) to 0.015 μS/cm (ON state). We anticipate that the spatial correlation of transmembrane ion transport in the ionic redox transistor would result in a scale up into smart membrane separators for energy storage, neuromorphic circuits, and desalination membranes.
- Published
- 2022
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