Evidence map›Paper›PMID 42345197›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2026

Scalable Fabrication of 4 nm Silicon Nanopores by Self-Limiting Metal-Assisted Chemical Etching Combined with Optical Process Control.

Fabio De Ferrari, Alessandro Enrico, Chrysovalantou V Leva, Shyamprasad N Raja, Anna Herland, Frank Niklaus, Göran Stemme

Abstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

7 authors.

Fabio De FerrariDepartment of Micro and Nanosystems, KTH Royal Institute of Technology, Malvinas väg 10, Stockholm 100 44, Sweden.ORCID 0000-0003-0960-9931
Alessandro EnricoSynthetic Physiology Lab, Department of Civil Engineering and Architecture, University of Pavia, via Adolfo Ferrata 9, Pavia 27100, Italy.
Chrysovalantou V LevaDepartment of Micro and Nanosystems, KTH Royal Institute of Technology, Malvinas väg 10, Stockholm 100 44, Sweden.
Shyamprasad N RajaDepartment of Micro and Nanosystems, KTH Royal Institute of Technology, Malvinas väg 10, Stockholm 100 44, Sweden.ORCID 0000-0002-2278-1368
Anna HerlandDivision of Nanobiotechnology, SciLifeLab, Department of Protein Science, KTH Royal Institute of Technology, Tomtebodavägen 23a, Solna 171 65, Sweden.ORCID 0000-0002-5002-2537
Frank NiklausDepartment of Micro and Nanosystems, KTH Royal Institute of Technology, Malvinas väg 10, Stockholm 100 44, Sweden.ORCID 0000-0002-0525-8647
Göran StemmeDepartment of Micro and Nanosystems, KTH Royal Institute of Technology, Malvinas väg 10, Stockholm 100 44, Sweden.ORCID 0000-0001-9552-4234

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Solid-state nanopores in ultrathin (<20 nm) membranes enable label-free single-molecule sensing, but their adoption as sensors is limited by the lack of scalable manufacturing methods that deliver nanopores with single-nanometer reproducibility. Self-limiting metal-assisted chemical etching (MACE) in silicon-on-insulator (SOI) membranes offers a parallel wet-chemical route for nanopore fabrication, yet prior demonstrations lacked a predictive design rule and required electron microscopy or electrical tests for confirming presence and number of pores. Here, we convert self-limiting MACE into a manufacturing-oriented workflow with optical process control to obtain and verify the formation of 4 nm nanopores in a scalable fashion. We decouple the deposition of 200 ± 10 nm gold (Au) nanoparticles from etching, enabling independent optimization of the two steps. The nanoparticle size allows for particle-per-membrane counting by dark-field optical microscopy, so that deposition can be repeated when counts are below target. We then map etching behavior across Au nanoparticle diameter

Identifiers

PMID42345197
PMCPMC13352619

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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.