Evidence map›Paper›PMID 41470541›Full record

ArticleMicromachines2025

Fabrication of Sub-50 nm Three-Dimensional Rhombic Zero-Depth PDMS Nanopores with Enhanced Conductance via Silicon Micro-Blade Molding.

Mohammad Matin Behzadi, Philippe Renaud, Mojtaba Taghipoor

Abstract read
In one paragraph

Article in Micromachines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Mohammad Matin BehzadiMicro Nano Systems Laboratory (MNSL), Department of Mechanical Engineering, Sharif University of Technology, Tehran 1458889694, Iran.
Philippe RenaudMicrosystem Laboratory 4, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.ORCID 0000-0001-5199-1252
Mojtaba TaghipoorMicro Nano Systems Laboratory (MNSL), Department of Mechanical Engineering, Sharif University of Technology, Tehran 1458889694, Iran.ORCID 0000-0003-2206-1464

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zero-depth nanopores present a promising solution to the challenges associated with ultrathin membranes used in solid-state resistive pulse sensors for DNA sequencing. Most existing fabrication methods are either complex or lack the nanoscale precision required. In this study, we introduce a cost-effective approach that combines PDMS molding at the intersection of silicon micro-blades with an innovative high-resolution nano-positioning technique. These blades are created through photolithography and a two-step KOH wet etching process, allowing for the formation of sub-50 nm 3D rhombic zero-depth nanopores featuring large vertex angles. To address the limitations of SEM imaging-such as dielectric charging and deformation of PDMS membranes under electron beam exposure-we devised a finite element model (FEM) that correlates electrical conductance with pore size and electrolyte concentration. This model aligns closely with experimental data, yielding a mean absolute percentage error of 3.69%, thereby enabling real-time indirect sizing of the nanopores based on the measured conductance. Additionally, we identified a critical channel length beyond which pore resistance becomes negligible, facilitating a linear relationship between conductance and pore diameter. The nanopores produced using this method exhibited a 2.4-fold increase in conductance compared to earlier designs, highlighting their potential for high-precision DNA sequencing applications.

Indexed as

3D rhombic zero-depth nanoporesfinite element modelingnano-positioning systemphotolithographyresistive pulse sensorssilicon micro-bladeswet etching

Identifiers

PMID41470541
PMCPMC12735173

What Socratic holds

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Registered trials

None linked

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 Socratic graph.