Evidence map›Paper›PMID 41372447›Full record

ArticleNature nanotechnology2025

Hydrogel-elastomer-based conductive nanomembranes for soft bioelectronics.

Hyunjin Jung, Daeyeon Lee, Kyoungryong Kim, Heewon Choi, Soojung An, Youngwan Lee, Sungjun Lee, Jiyong Yoon, Duhwan Seong, Yewon Kim and 12 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature nanotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. A Geometrically Transient Platform for Bioelectronic Implants.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. A soft electrode array with reconfigurable hydrogel interfaces for high-fidelity neurophysiological monitoring during craniotomy.Proceedings of the National Academy of Sciences of the United States of America · 2026
    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

22 authors.

Hyunjin Jung *Department of Electrical and Computer Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea.
Daeyeon Lee *Department of Chemistry, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea.ORCID http://orcid.org/0009-0004-7199-1662
Kyoungryong KimCenter for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Republic of Korea.
Heewon ChoiDepartment of Electrical and Computer Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea.ORCID http://orcid.org/0009-0007-3367-5070
Soojung AnDepartment of Electrical and Computer Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea.
Youngwan LeeDepartment of Chemistry, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea.
Sungjun LeeDepartment of Electrical and Computer Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea.
Jiyong YoonDepartment of Electrical and Computer Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea.ORCID http://orcid.org/0000-0001-5486-876X
Duhwan SeongDepartment of Electrical and Computer Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea.
Yewon KimDepartment of Electrical and Computer Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea.ORCID http://orcid.org/0009-0003-7677-7924
Jaepyo JangDepartment of Electrical and Computer Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea.
Subin JinCenter for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Republic of Korea.ORCID http://orcid.org/0000-0001-5915-730X
Sumin KimCenter for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Republic of Korea.
Jeungeun KumDepartment of Intelligent Precision Healthcare Convergence, Sungkyunkwan University (SKKU), Suwon, Republic of Korea.ORCID http://orcid.org/0009-0008-8039-5669
Hyeok KimCenter for Biomaterials, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-9184-5882
Sang Min WonDepartment of Electrical and Computer Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea.ORCID http://orcid.org/0000-0002-5750-8628
Hyungmin KimBionics Research Center, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-9527-0609
Seung-Pyo LeeDivision of Cardiology, Department of Internal Medicine, Seoul National University Hospital (SNUH), Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-5502-3977
Hyung-Seop HanCenter for Biomaterials, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-6870-1485
Mikyung ShinCenter for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Republic of Korea.ORCID http://orcid.org/0000-0002-7990-5210
BongSoo KimDepartment of Chemistry, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea. bongsoo@unist.ac.kr.ORCID http://orcid.org/0000-0002-4982-6343
Donghee SonDepartment of Electrical and Computer Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea. daniel3600@g.skku.edu.ORCID http://orcid.org/0000-0002-3772-8009

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conformal integration of electronics with soft, irregular organ topologies remains challenging, as tissue-like platforms with bulky dimensions ranging from a few millimetres to several hundred micrometres result in incomplete signal acquisition and chronic tissue compression. Although ultrathin nanoscale devices have recently been developed to address these challenges, they involve complex and delicate handling processes that limit their practical use and compromise their intrinsic performance. Here we present the development of a transformable and imperceptible hydrogel-elastomer adhesive bilayer based on ionic-electronic conductive nanomembranes (THIN) with a thickness of 350 nm. This approach leverages the amphiphilic properties and the combination of a hydrophilic tissue-adhesive hydrogel and a hydrophobic semiconducting elastomer. Dynamic bonding interactions at a heterogeneous interface, formed through a spin-coating process using orthogonal solvents, facilitate full compatibility with microfabrication. THIN exhibits an instantaneous rigid-to-soft phase transformation, transitioning from a hardness of 1.35 to 0.035 GPa and a stiffness of 0.16 to 9.08 × 10

Indexed as

ElastomersElectronicsHydrogelsMembranes, ArtificialNanostructuresElectric ConductivityHydrophobic and Hydrophilic InteractionsNanotechnologyElastomersHydrogelsMembranes, Artificial

Identifiers

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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.