Evidence map›Paper›PMID 41500993›Full record

ArticleMicrosystems & nanoengineering2026

Proximal sound printing: direct 3D printing of microstructures on polymers.

Shervin Foroughi, Mohsen Habibi, Muthukumaran Packirisamy

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 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

3 authors.

Shervin ForoughiOptical Bio Microsystems Laboratory, Micro-Nano-Bio Integration Center, Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, QC, Canada.
Mohsen HabibiDepartment of Mechanical and Aerospace Engineering, University of California at Davis, Davis, CA, USA.
Muthukumaran PackirisamyOptical Bio Microsystems Laboratory, Micro-Nano-Bio Integration Center, Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, QC, Canada. m.packirisamy@concordia.ca.ORCID http://orcid.org/0000-0002-1769-6986

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proximal Sound Printing (PSP) is a new class of additive manufacturing (AM) processes where on-demand polymerization occurs through ultrasound waves interacting with printing material right at the proximity of the acoustic aperture by inducing cavitation. Despite recent developments in sound-based AM techniques, inherent practical limitations still remain, such as low resolution and repeatability, as well as the inability to print multi-material structures. PSP overcomes these limitations, enhancing resolution tenfold, reducing printing power fourfold, and decreasing maximum acoustic streaming velocity 1600 times compared to common sound-based printing methods, enhancing repeatability and resolution. PSP offers greater versatility than existing methods in modulating feature size through printing aperture tuning. This capability is particularly valuable for fabricating microsystems, where high-resolution patterning and material integrity are essential. Furthermore, PSP enables the direct printing of heat-curing materials such as polydimethylsiloxane (PDMS), a widely used thermoset in microfluidics and soft lithography, without altering its native formulation. The PSP process is explored through sonochemiluminescence experiments and high-speed imaging and demonstrated by the successful printing of multi-material composite structures and functional microfluidic devices. Overall, PSP establishes a practical, high-resolution approach for sound-driven additive manufacturing.

Identifiers

PMID41500993
PMCPMC12780252

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.