Evidence map›Paper›PMID 42653600›Full record

ArticleMicromachines2026

Performance Evaluation of a Sandwich-Structured CNT/Graphene-TPU Nanofiber Strain Sensor for Wearable Deformation Monitoring.

Heng Su, Shengbin Cao, Xue Zhang, Zeyu Liu, Xiaosong Liu

Abstract read
In one paragraph

Article in Micromachines, 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

5 authors.

Heng SuSchool of Art and Design, Shanghai Dianji University, Shanghai 201306, China.
Shengbin CaoSchool of Materials Science and Engineering, Shanghai Dianji University, Shanghai 201306, China.ORCID 0000-0002-9361-222X
Xue ZhangCollege of Materials Science and Engineering, Donghua University, Shanghai 201620, China.ORCID 0009-0002-7149-3802
Zeyu LiuSchool of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Xiaosong LiuOxford Suzhou Centre for Advanced Research, Suzhou 215123, China.

Funding

the State Key Laboratory of Advanced Fiber Materials KF2603
6 · The paper itself

Abstract

Flexible strain sensors require both a responsive conductive network and a mechanically compliant supporting structure. In this study, a sandwich-structured carbon nanotube (CNT)/graphene-thermoplastic polyurethane (TPU) nanofiber strain sensor was fabricated by electrospinning, spray-coating, pre-stretching, and hot-pressing. Field-emission scanning electron microscopy was used to examine the nanofiber and coated-fiber morphology, while energy-dispersive X-ray spectroscopy was used only to describe elemental distribution. The electrical response was quantitatively evaluated under tensile deformation. The sensor exhibited piecewise gauge factors of approximately 47.3, 269.6, and 613.8 over strain ranges of 0-20%, 20-45%, and 45-60%, respectively. The response and recovery times were approximately 120 and 180 ms, and the electrical response remained observable over 5000 loading-unloading cycles at 20% strain. Qualitative demonstrations involving finger-bending, elbow-bending, pulse, grasping, walking, and repeated pressing produced distinguishable resistance-time patterns. These results indicate the potential of the CNT/graphene-TPU device for wearable deformation monitoring.

Indexed as

carbon nanotubesflexible strain sensorgraphenesandwich structureTPU nanofibers

Identifiers

PMID42653600
PMCPMC13515648

What OpenQuestion holds

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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.