Evidence map›Paper›PMID 41670592›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Large-Area 2D Metasurface-Based Triboelectric E-Skin Arrays: Contact & Proximity Tactile Mapping with Broadband Acoustic Readouts.

Injamamul Arief, Swagato Sarkar, Anik Kumar Ghosh, Osvalds Verners, Kamal Kumar Meena, Su-Hyeong Lee, Soosang Chae, Tobias A F König, Beate Krause, Andreas Fery and 3 more

Abstract read
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In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 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

13 authors.

Injamamul AriefDepartment of Elastomers, Division Polymer Materials Engineering, Leibniz Institute of Polymer Research Dresden, Hohe Str. 6, Dresden, Germany.ORCID https://orcid.org/0000-0003-3049-6361
Swagato SarkarDepartment of Functional Colloidal Materials, Division Physical Chemistry and Physics of Polymers, Leibniz Institute of Polymer Research Dresden, Hohe Str. 6, Dresden, Germany.ORCID https://orcid.org/0000-0002-6979-3446
Anik Kumar GhoshDepartment of Elastomers, Division Polymer Materials Engineering, Leibniz Institute of Polymer Research Dresden, Hohe Str. 6, Dresden, Germany.ORCID https://orcid.org/0000-0001-9106-7152
Osvalds VernersInstitute of Materials and Surface Engineering, Faculty of Natural Sciences and Technologies, Riga Technical University, Riga, Latvia.ORCID https://orcid.org/0000-0002-2030-9553
Kamal Kumar MeenaDepartment of Elastomers, Division Polymer Materials Engineering, Leibniz Institute of Polymer Research Dresden, Hohe Str. 6, Dresden, Germany.
Su-Hyeong LeeSchool of Energy Materials and Chemical Engineering, Korea University of Technology and Education, Cheonan, South Korea.
Soosang ChaeDepartment of Functional Colloidal Materials, Division Physical Chemistry and Physics of Polymers, Leibniz Institute of Polymer Research Dresden, Hohe Str. 6, Dresden, Germany.ORCID https://orcid.org/0000-0002-1056-6572
Tobias A F KönigDepartment of Functional Colloidal Materials, Division Physical Chemistry and Physics of Polymers, Leibniz Institute of Polymer Research Dresden, Hohe Str. 6, Dresden, Germany.ORCID https://orcid.org/0000-0002-8852-8752
Beate KrauseDepartment of Sustainable Polymer Structures, Division Macromolecular Chemistry, Leibniz Institute of Polymer Research Dresden, Dresden, Germany.ORCID https://orcid.org/0000-0003-2892-1269
Andreas FeryDepartment of Functional Colloidal Materials, Division Physical Chemistry and Physics of Polymers, Leibniz Institute of Polymer Research Dresden, Hohe Str. 6, Dresden, Germany.ORCID https://orcid.org/0000-0001-6692-3762
Mehmet Sait ÖzerFaculty of Electrical and Computer Engineering, Technische Universität Dresden, Dresden, Germany.ORCID https://orcid.org/0000-0001-7244-3503
Anindya NagFaculty of Electrical and Computer Engineering, Technische Universität Dresden, Dresden, Germany.
Amit DasDepartment of Elastomers, Division Polymer Materials Engineering, Leibniz Institute of Polymer Research Dresden, Hohe Str. 6, Dresden, Germany.ORCID https://orcid.org/0000-0002-2579-1369

Funding

Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) 404941515GELWIN 100728543Germany's Excellence Strategy EXC 2050/1 - Project ID 390696704Printed biopolymer 4D TENG device for mechanical energy harvesting lzp-2022/1-0485Special Priority Program SPP2100
6 · The paper itself

Abstract

Recent advances in electromechanically coupled, self-powered, flexible transducer-enabled electronic skins are predominantly driven by the capacitive triboelectric nanogenerators (TENGs), which operate intrinsically as multifunctional sensor-cum-energy harvester. The resulting TENG's operability in cutting-edge wearable technologies can be significantly augmented by introducing 2D dielectric metasurfaces, which optimize functionality through enhanced electromechanical coupling. Here, we introduce a 2D metasurface-TENG e-skin that unifies tactile (contact and inductive) and acoustic sensing in a single ultrathin platform. Large-area nanocone (NC) metasurfaces are engineered on 100 µm polydimethoxysilane (PDMS) films via laser-interference lithography (LIL) and soft molding, which boosts triboelectric charge density and provides optical diffraction cues for strain monitoring. Integrated into a 3 × 3 array, the device delivers real-time tactile pressure imaging with low crosstalk and non-contact proximity detection. The NC-TENG patch also functions as a self-powered acoustic sensor, in which the sound pressure level (SPL) and frequency response are quantified in both spatial and spectral domains over a broad frequency range (∼50-6400 Hz). Compared to pristine PDMS, the metasurface enhances open-circuit voltage by ≈46% under identical loading and sustains stable electrical output. By coupling electromechanical and electro-acoustic transductions with metasurface optics, this work advances multimodal, arrayed e-skins for next-generation human-machine interfaces and wearable sensing.

Indexed as

acoustic sensingdielectric metasurfaceshuman‐machine interactionproximity recognitiontriboelectric nanogenerators

Identifiers

PMID41670592
PMCPMC13310109

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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.