Evidence map›Paper›PMID 42503692›Full record

ArticleNano letters2026

Multiscale Design Principles for Nanocomposite Hydrogel-Based Triboelectric Nanogenerators.

James Sangmin Choo, Jinsoo Na, Siheon Lee, Juhyuk Park

Abstract read
In one paragraph

Article in Nano letters, 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

4 authors.

James Sangmin ChooDepartment of Materials Science and Engineering, Seoul National University, Seoul08826, Republic of Korea.
Jinsoo NaDepartment of Materials Science and Engineering, Seoul National University, Seoul08826, Republic of Korea.
Siheon LeeDepartment of Materials Science and Engineering, Seoul National University, Seoul08826, Republic of Korea.ORCID 0009-0008-9147-2869
Juhyuk ParkDepartment of Materials Science and Engineering, Seoul National University, Seoul08826, Republic of Korea.ORCID 0000-0002-1429-3399

Funding

Ministry of Education RS-2025-02314069Ministry of Science and ICT, South Korea RS-2025-02304435POSCO TJ Park Foundation NA
6 · The paper itself

Abstract

Hydrogel-based triboelectric nanogenerators (H-TENGs) are soft, self-powered platforms for wearable sensing, human-machine interfaces, and biomechanical energy harvesting. Hydrogels offer mechanical compliance, ionic conductivity, and skin conformability, but practical H-TENGs remain limited by insufficient mechanical robustness, limited electrical or ionic transport, and limited output performance. Nanofiller engineering provides a materials-level route to address these limitations by reinforcing hydrogel networks, improving transport pathways, and tailoring interfacial charge behavior. This Mini-Review summarizes recent progress in nanocomposite H-TENGs with emphasis on mechanical reinforcement, electrical pathway engineering, nanofiller dispersion control, output modulation, and multifunctional integration. Rather than treating nanofillers as simple additives, we highlight how their dispersion, surface chemistry, and spatial arrangement govern hydrogel structure and device performance. Finally, we discuss challenges in matrix design, triboelectric interfaces, and device integration. These design principles may guide durable multifunctional nanocomposite hydrogel-based TENGs for wearable electronics under repeated deformation and long-term on-skin operation.

Indexed as

nanocomposite hydrogelsnanofiller engineeringself-powered wearable sensorstriboelectric nanogenerators

Identifiers

PMID42503692
PMCPMC13450453

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.