Evidence map›Paper›PMID 38953387›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Innervate Commercial Fabrics with Spirally-Layered Iontronic Fibrous Sensors Toward Dual-Functional Smart Garments.

Xiaodong Wu, Qi Liu, Lifei Zheng, Sijian Lin, Yiqun Zhang, Yangyang Song, Zhuqing Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. 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. 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

7 authors.

Xiaodong WuSchool of Mechanical Engineering, Sichuan University, Chengdu, 610065, China.ORCID https://orcid.org/0000-0002-8005-6738
Qi LiuSchool of Mechanical Engineering, Sichuan University, Chengdu, 610065, China.
Lifei ZhengSchool of Mechanical Engineering, Sichuan University, Chengdu, 610065, China.
Sijian LinSchool of Mechanical Engineering, Sichuan University, Chengdu, 610065, China.
Yiqun ZhangSchool of Mechanical Engineering, Sichuan University, Chengdu, 610065, China.
Yangyang SongSchool of Mechanical Engineering, Sichuan University, Chengdu, 610065, China.
Zhuqing WangSchool of Mechanical Engineering, Sichuan University, Chengdu, 610065, China.

Funding

Science and Technology Department of Sichuan Province 2023YFG0041
6 · The paper itself

Abstract

Electronic fabrics exhibit desirable breathability, wearing comfort, and easy integration with garments. However, surficial deposition of electronically functional materials/compounds onto fabric substrates would consequentially alter their intrinsic properties (e.g., softness, permeability, biocompatibility, etc.). To address this issue, here, a strategy to innervate arbitrary commercial fabrics with unique spirally-layered iontronic fibrous (SLIF) sensors is presented to realize both mechanical and thermal sensing functionalities without sacrificing the intrinsic fabric properties. The mechanical sensing function is realized via mechanically regulating the interfacial ionic supercapacitance between two perpendicular SLIF sensors, while the thermal sensing function is achieved based on thermally modulating the intrinsic ionic impedance in a single SLIF sensor. The resultant SLIF sensor-innervated electronic fabrics exhibit high mechanical sensitivity of 81 N

Indexed as

electronic textilefibrous sensormechanical sensingsmart garmentthermal sensing

Identifiers

PMID38953387
PMCPMC11434216

What OpenQuestion holds

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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.