Evidence map›Paper›PMID 42285924›Full record

ArticleNature communications2026

A highly stretchable tri-channel fiber for composite motion decoupling.

Zhangcheng Li, Wen Wang, Kangrui Ji, Can Wang, Pan Xiong, Zeguang Du, Zhi Liang, Yu He, Bijin Xiong, Chong Hou

Abstract read
In one paragraph

Article in Nature communications, 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

10 authors.

Zhangcheng LiState Key Laboratory of New Textile Materials and Advanced Processing, Research Center for Intelligent Fiber Devices and Equipment and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, China.
Wen WangState Key Laboratory of New Textile Materials and Advanced Processing, Research Center for Intelligent Fiber Devices and Equipment and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, China.
Kangrui JiState Key Laboratory of New Textile Materials and Advanced Processing, Research Center for Intelligent Fiber Devices and Equipment and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, China.
Can WangState Key Laboratory of New Textile Materials and Advanced Processing, Research Center for Intelligent Fiber Devices and Equipment and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, China.
Pan XiongState Key Laboratory of New Textile Materials and Advanced Processing, Research Center for Intelligent Fiber Devices and Equipment and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, China.
Zeguang DuState Key Laboratory of New Textile Materials and Advanced Processing, Research Center for Intelligent Fiber Devices and Equipment and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, China.
Zhi LiangState Key Laboratory of New Textile Materials and Advanced Processing, Research Center for Intelligent Fiber Devices and Equipment and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, China.
Yu HeState Key Laboratory of New Textile Materials and Advanced Processing, Research Center for Intelligent Fiber Devices and Equipment and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, China.
Bijin XiongKey Laboratory of Materials Chemistry for Energy Conversion and Storage of Ministry of Education, School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan, China.
Chong HouState Key Laboratory of New Textile Materials and Advanced Processing, Research Center for Intelligent Fiber Devices and Equipment and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, China. chong@hust.edu.cn.ORCID http://orcid.org/0000-0002-1975-0747

Funding

Natural Science Foundation of Hubei Province (Hubei Provincial Natural Science Foundation) 2025AFD615
6 · The paper itself

Abstract

Fiber electronics have shown considerable potential in various applications, including electronic skin, human-machine interfaces, and intelligent sensing systems. However, stretchable fiber-based strain sensors confront fundamental challenges in concurrently achieving robust mechanical endurance, wide linear response range, and effective composite motions decoupling under complex deformation conditions. Here we present a highly stretchable tri-channel fiber featuring concentric and double-helical microchannels integrated with gallium-based liquid metal, constructing a dual-strain fiber sensor capable of decoupling composite motions involving both elongation and torsional deformations. The helical architecture promotes a three-dimensional orientation of polymer chains, thereby effectively enhancing both the stretchability and cyclic durability of the sensor. Owing to the specific configuration within the fiber, the sensor exhibits a highly linear response to tensile strain, along with bidirectional torsional strain sensing across a wide operational range. Furthermore, by synergistically integrating geometric deformation with hybrid resistive-capacitive sensing mechanisms, the sensor demonstrates the ability to simultaneously monitor and decouple stretching and twisting composite motion behaviors. This strategy enables the precise characterization of object motion and deformation states, offering valuable prospects for real-time health monitoring and motion tracking applications.

Identifiers

PMID42285924
PMCPMC13408763

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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.