Ion‐specific effects in confined nanochannels and neural network. Issue 2 (20th December 2022)

• Record Type: Journal Article
• Authors: Wei, Weichen; Wang, Xuejiao
• Is Part Of: Aggregate. Volume 4:Issue 2(2023)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-12-20
• Subjects: aggregate -- confined space -- ion‐specific effect; Aggregation (Chemistry) -- Periodicals; Aggregation (Chemistry); Periodicals; 539.6
• DOI: 10.1002/agt2.302
• Languages: English
• ISSNs: 2692-4560

Abstract

Abstract: Since the discovery of biological ion channels and their role in physiology, scientists have been trying to create artificial structures that mimic biological ion channels. Nanochannels such as biological/solid‐state nanopores and porous nanostructures can have fine‐tuned ion behaviors in a confined space where ions are "aggregated". Thus, one of the most exciting applications of nanochannels is artificial neurons and neural network based on the ion‐specific effects and nanofluidics. In this review article, it is the first time that the ion aggregation behaviors inside the confined nanochannels are summarized, and their connection to neuroscience, especially the artificial neurons and neural network, is explored and envisioned. Abstract : Ion behaviors in an aggregated state like in the confined nanochannel are of researchers' particular interest. Inspired by the ion transport in ion channels of neurons, this could be further applied to develop artificial neurons and neural networks based on the nanofluidics.