Evidence map›Paper›PMID 30486298›Full record

ArticleSensors (Basel, Switzerland)2018

A High Compressibility Pressure-Sensitive Structure Based on CB@PU Yarn Network.

Xingtong Chen, Chunguo Liu, Shuo Liu, Bing Lyu, Donglai Li

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Xingtong ChenRoll-forging Research Institute, College of Materials Science and Engineering, Jilin University, Changchun 130025, China. chenxt16@mails.jlu.edu.cn.
Chunguo LiuRoll-forging Research Institute, College of Materials Science and Engineering, Jilin University, Changchun 130025, China. liucg@jlu.edu.cn.ORCID 0000-0002-0543-7848
Shuo LiuRoll-forging Research Institute, College of Materials Science and Engineering, Jilin University, Changchun 130025, China. liushuo940313@163.com.
Bing LyuRoll-forging Research Institute, College of Materials Science and Engineering, Jilin University, Changchun 130025, China. lvbing1613@163.com.
Donglai LiRoll-forging Research Institute, College of Materials Science and Engineering, Jilin University, Changchun 130025, China. 15526899829@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, a piezoresistive sensor structure based on carbon black (CB)@polyurethane (PU) yarn material was developed. Specifically, CB@PU yarn was constructed by the polymer-mediated water-based electrostatic deposition method. The distribution of the yarn was artificially controlled to fabricate conductive networks. The CB conductive layer was efficiently supported by the net-like structure of PU yarn, thus generating collaborative advantage. The as-fabricated pressure sensor not only displayed compressibility of over 97%, but also detected a wide pressure change from 25 Pa to 20 kPa. Furthermore, this sensor exhibited response time of less than 70 ms and reproducibility of over 10,000 cycles. The advantages of the CB@PU network ensured this pressure-sensitive structure enormous potential application in pressure sensitive equipment.

Indexed as

complete compressionnet-like structurepiezoresistive sensorspressure-sensitiveresponsive behaviors

Identifiers

PMID30486298
PMCPMC6308453

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.