ArticleJournal of the American Chemical Society2012
Quantitative imaging of ion transport through single nanopores by high-resolution scanning electrochemical microscopy.
Article in Journal of the American Chemical Society, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
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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.
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Who cites it
25 citing papers in PubMed, 94 citations in OpenAlex.
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- Nanoelectrochemical Study of Molecular Transport through the Nuclear Pore Complex.Chemical record (New York, N.Y.) · 2021Review
- Nanoelectrochemistry in the study of single-cell signaling.Analytical and bioanalytical chemistry · 2020Review
- Nanoscale Intelligent Imaging Based on Real-Time Analysis of Approach Curve by Scanning Electrochemical Microscopy.Analytical chemistry · 2019Article
- Probing High Permeability of Nuclear Pore Complexes by Scanning Electrochemical Microscopy: CaAnalytical chemistry · 2019Article
- Single Synaptic Observation of Cholinergic Neurotransmission on Living Neurons: Concentration and Dynamics.Journal of the American Chemical Society · 2018Article
- GABA Detection with Nano-ITIES Pipet Electrode: A New Mechanism, Water/DCE-Octanoic Acid Interface.Analytical chemistry · 2018Article
- Characterization of Nanopipet-Supported ITIES Tips for Scanning Electrochemical Microscopy of Single Solid-State Nanopores.Analytical chemistry · 2017Article
- Scanning ion conductance microscopy mapping of tunable nanopore membranes.Biomicrofluidics · 2017Article
- Multifunctional scanning ion conductance microscopy.Proceedings. Mathematical, physical, and engineering sciences · 2017Review
- Electrochemical Detection of Dopamine via Assisted Ion Transfer at Nanopipet Electrode Using Cyclic Voltammetry.Journal of the Electrochemical Society · 2016Article
- Electrochemical nanoprobes for the chemical detection of neurotransmitters.Analytical methods : advancing methods and applications · 2015Article
- Multiscale electrochemistry of hydrogels embedding conductive nanotubes.Chemical science · 2015Article
- Resistive-Pulse Measurements with Nanopipettes: Detection of Vascular Endothelial Growth Factor C (VEGF-C) Using Antibody-Decorated Nanoparticles.Analytical chemistry · 2015Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Here we report on the unprecedentedly high resolution imaging of ion transport through single nanopores by scanning electrochemical microscopy (SECM). The quantitative SECM image of single nanopores allows for the determination of their structural properties, including their density, shape, and size, which are essential for understanding the permeability of the entire nanoporous membrane. Nanoscale spatial resolution was achieved by scanning a 17 nm radius pipet tip at a distance as low as 1.3 nm from a highly porous nanocrystalline silicon membrane in order to obtain the peak current response controlled by the nanopore-mediated diffusional transport of tetrabutylammonium ions to the nanopipet-supported liquid-liquid interface. A 280 nm × 500 nm image resolved 13 nanopores, which corresponds to a high density of 93 nanopores/μm(2). A finite element simulation of the SECM image was performed to assess quantitatively the spatial resolution limited by the tip diameter in resolving two adjacent pores and to determine the actual size of a nanopore, which was approximated as an elliptical cylinder with a depth of 30 nm and major and minor axes of 53 and 41 nm, respectively. These structural parameters were consistent with those determined by transmission electron microscopy, thereby confirming the reliability of quantitative SECM imaging at the nanoscale level.
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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.