Evidence map›Paper›PMID 42257187›Full record

ArticlePolymer science & technology (Washington, D.C.)2025

Boosting Sensitivity of Piezoelectric Sensors by Electrohydrodynamic Pulling Promoted

Xingneng Wei, Jin Lu, Chenlong Wang, Junyu Chen, Yijun Li, Xingang Liu, Chuhong Zhang

Abstract read
In one paragraph

Article in Polymer science & technology (Washington, D.C.), 2025. 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

7 authors.

Xingneng WeiNational Key Laboratory of Advanced Polymer Materials, Polymer Research Institute, Sichuan University, Chengdu, 610065, P. R. China.
Jin LuNational Key Laboratory of Advanced Polymer Materials, Polymer Research Institute, Sichuan University, Chengdu, 610065, P. R. China.
Chenlong WangNational Key Laboratory of Advanced Polymer Materials, Polymer Research Institute, Sichuan University, Chengdu, 610065, P. R. China.
Junyu ChenState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China.
Yijun LiNational Key Laboratory of Advanced Polymer Materials, Polymer Research Institute, Sichuan University, Chengdu, 610065, P. R. China.ORCID https://orcid.org/0000-0002-6788-0730
Xingang LiuNational Key Laboratory of Advanced Polymer Materials, Polymer Research Institute, Sichuan University, Chengdu, 610065, P. R. China.ORCID https://orcid.org/0000-0001-8241-1695
Chuhong ZhangNational Key Laboratory of Advanced Polymer Materials, Polymer Research Institute, Sichuan University, Chengdu, 610065, P. R. China.ORCID https://orcid.org/0000-0002-3378-7570

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polymer-based piezoelectric sensors are gaining widespread attraction for wearable sensing applications due to their light weight, flexibility, and self-powered performance. Wherein high response sensitivity and good linearity are essential for piezoelectric sensors. However, conventional piezoelectric sensors are limited in their ability to exploit space fully to generate adequate strain, leading to a relatively low piezoelectric output and insufficient sensitivity under a broad stress linearity range. Herein, an electrohydrodynamic (EHD) pulling-promoted

Indexed as

Electrohydrodynamic pullingIn-situ forming.PiezoelectricPVDFSensor

Identifiers

PMID42257187
PMCPMC13052623

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.