Evidence map›Paper›PMID 40133338›Full record

ArticleScientific reports2025

Ultrasound can deliver chemical stimulants to the skin and modulate their perception.

Tor-Salve Dalsgaard, Arpit Bhatia, Lei Gao, Ryuji Hirayama, Sriram Subramanian, Joanna Bergström, Kasper Hornbæk

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

7 authors.

Tor-Salve DalsgaardDepartment of Computer Science, University of Copenhagen, Universitetsparken 1, 2100, Copenhagen, Denmark. torsalve@di.ku.dk.
Arpit BhatiaDepartment of Computer Science, University of Copenhagen, Universitetsparken 1, 2100, Copenhagen, Denmark.
Lei GaoDepartment of Computer Science, University College London, Euston Road 169, London, United Kingdom.
Ryuji HirayamaDepartment of Computer Science, University College London, Euston Road 169, London, United Kingdom.
Sriram SubramanianDepartment of Computer Science, University College London, Euston Road 169, London, United Kingdom.
Joanna BergströmDepartment of Computer Science, University of Copenhagen, Universitetsparken 1, 2100, Copenhagen, Denmark.
Kasper HornbækDepartment of Computer Science, University of Copenhagen, Universitetsparken 1, 2100, Copenhagen, Denmark.

Funding

Carlsbergfondet CF20-0686HORIZON EUROPE European Research Council 787413HORIZON EUROPE Framework Programme 101017746Royal Academy of Engineering CIET17/18UK Research and Innovation EP/V037846/1UK Research and Innovation EP/X019519/1
6 · The paper itself

Abstract

When applied to the skin, chemical stimulants can evoke haptic sensations. However, they need to be applied continuously using paper or pads in fixed locations, limiting their usefulness as a general haptic technology. To overcome these limitations, we introduce an ultrasound-based system for the precise acoustophoresis of droplets of chemical stimulants to the skin. We show that such droplets can indeed produce distinct haptic sensations. In addition, the system can use ultrasound to stimulate the area of the skin where the stimulants have been applied. We show that this increases the perceived intensity. Taken together, these results demonstrate the promise of non-contact delivery and modulation of chemical stimulants, not only as a haptic technology but also to provide deeper insights into the interaction of the chemical and mechanical senses.

Indexed as

SkinUltrasonic WavesAdultFemaleHumansMaleYoung AdultAcoustophoresisHaptic SensationsTopical Stimulants

Identifiers

PMID40133338
PMCPMC11937339

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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.