ArticleScience advances2022
Nonlinear electrohydrodynamic ion transport in graphene nanopores.
Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Architecting mechanosensitive nanofluidic transport in graphite nanoslits.Science advances · 2026Article
- Ion-electron coupling-enabled mechanical ion transistor with ultralow subthreshold swing.Science advances · 2026Article
- Matter in ångström-scale two-dimensional confinement.Nature reviews. Chemistry · 2026Review
- Giant osmotic power density generation with an anion-selective AB-stacking covalent-organic framework bilayer.Innovation (Cambridge (Mass.)) · 2025Article
- Article
- Diffusive to Barrier-Limited Transition in the Aqueous Ion Transport through Nanoporous 2D Materials.The journal of physical chemistry. B · 2025Article
- Ion Selectivity, Current, and Water Flow Regulation in TiNano letters · 2024Article
- Formation of compounds with diverse polyelectrolyte morphologies and nonlinear ion conductance in a two-dimensional nanofluidic channel.Chemical science · 2024Article
- Scaling of ionic conductance in a fluctuating single-layer nanoporous membrane.Scientific reports · 2023Article
- Anomalous ionic transport in tunable angstrom-size water films on silica.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- High durability and stability of 2D nanofluidic devices for long-term single-molecule sensing.NPJ 2D materials and applications · 2023Article
- Electrical Conductance of Charged Nanopores.ACS omega · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mechanosensitivity is one of the essential functionalities of biological ion channels. Synthesizing an artificial nanofluidic system to mimic such sensations will not only improve our understanding of these fluidic systems but also inspire applications. In contrast to the electrohydrodynamic ion transport in long nanoslits and nanotubes, coupling hydrodynamical and ion transport at the single-atom thickness remains challenging. Here, we report the pressure-modulated ion conduction in graphene nanopores featuring nonlinear electrohydrodynamic coupling. Increase of ionic conductance, ranging from a few percent to 204.5% induced by the pressure—an effect that was not predicted by the classical linear coupling of molecular streaming to voltage-driven ion transport—was observed experimentally. Computational and theoretical studies reveal that the pressure sensitivity of graphene nanopores arises from the transport of capacitively accumulated ions near the graphene surface. Our findings may help understand the electrohydrodynamic ion transport in nanopores and offer a new ion transport controlling methodology.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.