Evidence map›Paper›PMID 42873017›Full record

ArticleNanomaterials (Basel, Switzerland)2026

Flexible Strain Sensor Based on TPU/CNTs/rGO Conductive Membrane with Dual-Microcrack Structure for High-Performance Wearable Sensing.

Jinlong Chen, Binghao Xing, Yuexin Wang, Huimin Guo, Chenrui Zhu, Weihua Wang, Junfang Shen, Zhaowu Wang, Pengbo Zhao, Qian Sun and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 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

13 authors.

Jinlong ChenSchool of Intelligent Manufacturing, Luoyang Institute of Science and Technology, Luoyang 471023, China.
Binghao XingSchool of Intelligent Manufacturing, Luoyang Institute of Science and Technology, Luoyang 471023, China.
Yuexin WangSchool of Intelligent Manufacturing, Luoyang Institute of Science and Technology, Luoyang 471023, China.
Huimin GuoSchool of Intelligent Manufacturing, Luoyang Institute of Science and Technology, Luoyang 471023, China.
Chenrui ZhuSchool of Intelligent Manufacturing, Luoyang Institute of Science and Technology, Luoyang 471023, China.
Weihua WangSchool of Intelligent Manufacturing, Luoyang Institute of Science and Technology, Luoyang 471023, China.
Junfang ShenSchool of Intelligent Manufacturing, Luoyang Institute of Science and Technology, Luoyang 471023, China.
Zhaowu WangSchool of Intelligent Manufacturing, Luoyang Institute of Science and Technology, Luoyang 471023, China.ORCID 0000-0002-9139-4580
Pengbo ZhaoHenan Key Laboratory of Green Building Materials Manufacturing and Intelligent Equipment, Luoyang Institute of Science and Technology, Luoyang 471023, China.
Qian SunSchool of Intelligent Manufacturing, Luoyang Institute of Science and Technology, Luoyang 471023, China.
Derong ZhuSchool of Intelligent Manufacturing, Luoyang Institute of Science and Technology, Luoyang 471023, China.ORCID 0009-0007-3200-2026
Zhiyu MinHenan Key Laboratory of Green Building Materials Manufacturing and Intelligent Equipment, Luoyang Institute of Science and Technology, Luoyang 471023, China.
Wei ZhaiKey Laboratory of Materials Processing and Mold of Ministry of Education, School of Materials Science and Engineering, Zhengzhou University, Zhengzhou 450001, China.

Funding

Key Research Development Program of Henan Province 241111231600Key Research Development Program of Henan Province 252103810008National Natural Science Foundation of China 52402079National Natural Science Foundation of China 52503020Natural Science Foundation of Henan Province 252300420484Natural Science Foundation of Henan Province 252300421931Natural Science Foundation of Henan Province 252300423432Science and Technology Research Project of Henan Province 252102230035Science and Technology Research Project of Henan Province 252102230040
6 · The paper itself

Abstract

Flexible strain sensors are crucial for wearable electronics and human-machine interaction, yet simultaneously achieving high sensitivity and a broad working range remains challenging. Here, a high-performance strain sensor is developed by integrating carbon nanotubes (CNTs)/reduced graphene oxide (rGO) hybrid conductive networks with electrospun thermoplastic polyurethane (TPU) nanofibers, followed by pre-stretching to engineer a dual-microcrack architecture. The synergistic interplay between 1D CNTs and 2D rGO stabilizes conductive pathways, while strain-regulated microcrack evolution amplifies resistance variation. The sensor delivers a wide strain range of up to 100%, with gauge factors of 75.2, 1600.5, and 7484.5 across 0-32%, 32-60%, and 60-100% strain, respectively. It further exhibits a rapid response/recovery time of 30/40 ms, a low detection limit of 0.01%, and excellent durability over 1000 cycles. Benefiting from these comprehensive superior sensing performances, the sensor can reliably monitor both subtle human physiological signals and large-amplitude human motions, demonstrating great application potential in wearable health monitoring, intelligent motion perception and human-machine interaction fields.

Indexed as

dual-microcrack structureflexible strain sensorwearable electronics

Identifiers

PMID42873017
PMCPMC13666651

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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.