Evidence map›Paper›PMID 39123838›Full record

ReviewSensors (Basel, Switzerland)2024

Flexible Strain Sensors Based on Thermoplastic Polyurethane Fabricated by Electrospinning: A Review.

Zhiyuan Zhou, Weirui Tang, Teer Xu, Wuyang Zhao, Jingjing Zhang, Chuanwu Bai

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
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

6 authors.

Zhiyuan ZhouSchool of Tropical Agriculture and Forestry, Hainan University, Danzhou 571799, China.
Weirui TangSchool of Tropical Agriculture and Forestry, Hainan University, Danzhou 571799, China.
Teer XuSchool of Tropical Agriculture and Forestry, Hainan University, Danzhou 571799, China.
Wuyang ZhaoSchool of Tropical Agriculture and Forestry, Hainan University, Danzhou 571799, China.
Jingjing ZhangSchool of Tropical Agriculture and Forestry, Hainan University, Danzhou 571799, China.
Chuanwu BaiSchool of Tropical Agriculture and Forestry, Hainan University, Danzhou 571799, China.

Funding

the Education Department of Hainan Province Hnky2020-1
6 · The paper itself

Abstract

Over recent years, thermoplastic polyurethane (TPU) has been widely used as a substrate material for flexible strain sensors due to its remarkable mechanical flexibility and the ease of combining various conductive materials by electrospinning. Many research advances have been made in the preparation of flexible strain sensors with better ductility, higher sensitivity, and wider sensing range by using TPU in combination with various conductive materials through electrospinning. However, there is a lack of reviews that provide a systematic and comprehensive summary and outlook of recent research advances in this area. In this review paper, the working principles of strain sensors and electrospinning technology are initially described. Subsequently, recent advances in strain sensors based on electrospun TPU are tracked and discussed, with a focus on the incorporation of various conductive fillers such as carbonaceous materials, MXene, metallic materials, and conductive polymers. Moreover, the wide range of applications of electrospun TPU flexible strain sensors is thoroughly discussed. Finally, the future prospects and challenges of electrospun TPU flexible strain sensors in various fields are pointed out.

Indexed as

applicationsconductive materialselectrospinningflexible strain sensorsthermoplastic polyurethane

Identifiers

PMID39123838
PMCPMC11314693

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.