Evidence map›Paper›PMID 42195424›Full record

ArticleMicromachines2026

Pressure Modulation of Fluidic Patterns Inside the Nanochannel for Two States of Ionic Conductance.

Xiaojie Li, Xingye Zhang, Yang Liu, Zhen Cao, Xin Zhu, Zhi Ye

Abstract read
In one paragraph

Article in Micromachines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xiaojie LiCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310058, China.
Xingye ZhangCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310058, China.
Yang LiuCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0002-7411-8779
Zhen CaoCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0002-5440-3628
Xin ZhuCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0002-9413-7125
Zhi YeCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310058, China.

Funding

China Postdoctoral Science Foundation 2015M581931Key Research and Development Program of Zhejiang Province 2025C02154National Natural Science Foundation of China 61574126, 61774132, 61701438Natural Science Foundation of Zhejiang Province LD25F040003Natural Science Foundation of Zhejiang Province, China LR15F040001
6 · The paper itself

Abstract

This work numerically reveals a novel strategy to modulate two ionic conductance state in a nanochannel via pressure-dependent fluidic motion inside the channel. Steady and transient simulations based on Poisson-Nernst-Planck-Stokes equations demonstrate that the two states with distinct ionic conductance and ion selectivity can be reversibly switched by external pressure, with a characteristic time of ~100 μs. Furthermore, the two conductance states are found to depend on the transversal electric field, which gives rise to two distinct intrachannel fluidic flow patterns, namely laminar flow and vortex flow, respectively. This finding suggests the potential of pressure-controlled ionic conductance switching for applications in nanofluidic ionic circuits, flow-regulated sensing, and integrated micro/nanoscale devices. It also provides insights into nonlinear ionic current-voltage behaviors.

Indexed as

nanochannelnanofluidicsPoisson–Nernst–Planck–Stokes simulation

Identifiers

PMID42195424
PMCPMC13209024

What OpenQuestion holds

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Registered trials

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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.