Evidence map›Paper›PMID 42283926›Full record

ArticleNano-micro letters2026

Intelligent Breathing Electronic Skin Inspired by Nepenthes for Active Sweat Management, Multimodal Sensing and High-Fidelity Electromyographic Teleoperation Using Machine Learning.

Yichen Li, Kai Zheng, Guangtian Zhang, Wentao Chen, Chengtan Liu, Seonho Shin, Bihai Yang, Ran Cai, Bin Hu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nano-micro letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Yichen LiSchool of Medical Technology, Beijing Institute of Technology, Beijing, 100081, People's Republic of China.
Kai ZhengSchool of Medical Technology, Beijing Institute of Technology, Beijing, 100081, People's Republic of China.
Guangtian ZhangSchool of Medical Technology, Beijing Institute of Technology, Beijing, 100081, People's Republic of China.
Wentao ChenSchool of Medical Technology, Beijing Institute of Technology, Beijing, 100081, People's Republic of China.
Chengtan LiuSchool of Medical Technology, Beijing Institute of Technology, Beijing, 100081, People's Republic of China.
Seonho ShinSchool of Medical Technology, Beijing Institute of Technology, Beijing, 100081, People's Republic of China.
Bihai YangSchool of Medical Technology, Beijing Institute of Technology, Beijing, 100081, People's Republic of China.
Ran CaiSchool of Medical Technology, Beijing Institute of Technology, Beijing, 100081, People's Republic of China. cairan@bit.edu.cn.
Bin HuSchool of Medical Technology, Beijing Institute of Technology, Beijing, 100081, People's Republic of China. bh@bit.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electronic skin (e-skin), a stretchable, conformable, and multimodal sensing platform, is rapidly advancing in healthcare, robotics, and human-machine interaction (HMI). However, prolonged wear and sweat accumulation at the e-skin-skin interface can introduce signal artifacts, cause discomfort, and eventually lead to interfacial failure. Inspired by the unidirectional liquid transport of the Nepenthes peristome, we constructed an intelligent breathing e-skin (SPTL) featuring a Janus bilayer structure that creates a "liquid diode" effect for active sweat transport, achieving a remarkable cumulative one-way transport index of 956.36 while maintaining a dry interface even under profuse perspiration. This device exhibits a high tensile strain of 627%, a breathability of 20.02 mm s

Indexed as

Electronic skinElectrospinningEMG teleoperationNepenthes-inspiredUnidirectional sweat transport

Identifiers

PMID42283926
PMCPMC13263376

What OpenQuestion holds

Textmetadata
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.