Evidence map›Paper›PMID 35957068›Full record

ArticleNanomaterials (Basel, Switzerland)2022

Multiwalled Carbon Nanotube/Graphite Powder Film for Wearable Pressure Sensors with High Sensing Performance.

Shubin Yan, Xiaoyu Zhang, Jilai Liu, Haoqian Xu, Feng Wen, Tingsong Li, Jiamin Cui, Pengwei Liu, Lifang Shen, Yang Cui and 1 more

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2022. 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. High Power Factor of AgNanomaterials (Basel, Switzerland) · 2022
    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

11 authors.

Shubin YanSchool of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China.ORCID 0000-0002-7588-3616
Xiaoyu ZhangSchool of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China.
Jilai LiuSchool of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China.
Haoqian XuSchool of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China.
Feng WenSchool of Instrument and Electronics, North University of China, Taiyuan 030051, China.
Tingsong LiSchool of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China.
Jiamin CuiSchool of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China.
Pengwei LiuSchool of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China.ORCID 0000-0002-8600-4218
Lifang ShenSchool of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China.
Yang CuiSchool of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China.
Yifeng RenSchool of Electrical and Control Engineering, North University of China, Taiyuan 030051, China.

Funding

Key Research and Development Project of Zhejiang Province No. 2021C03019Key Research Project by Department of Water Resources of Zhejiang Province No. RA2101National Natural Science Foundation of China No. 61875250National Natural Science Foundation of China No. 61975189Scientific research foundation of Zhejiang University of Water Resources and Electric Power No. xky2022032Zhejiang Provincial Natural Science Foundation of China No. LD21F050001Zhejiang Provincial Natural Science Foundation of China No.Y21F040001
6 · The paper itself

Abstract

With the continuous progress of artificial intelligence and other manufacturing technologies, there is promising potential for wearable piezoresistive sensors in human physiological signal detection and bionic robots. Here, we present a facile solution-mixing process to fabricate a multiwalled carbon nanotube/graphite powder (MWCNT@Gp) film, which has high sensitivity and great linearity and is more oriented to flexible piezoresistive sensors. The sensor consists of two parts: a spinosum microstructure shaped by a sandpaper template and polydimethylsiloxane (PDMS) as the top substrate and interdigital electrodes as the bottom substrate. The experiments we have conducted show that these two parts provide good protection to the MWCNTs@Gp film and improve sensor sensitivity. Additionally, the sensitivity of the optimal ratio of multiwalled carbon nanotubes and graphite powder is analyzed. The 5%MWCNT@5%Gp composites were found to have relatively good conductivity, which is convenient for the fabrication of conductive films of piezoresistive sensors. Finally, we conducted application experiments and found that the flexible piezoresistive sensor can detect minute signals of human motion and different pressure points. This indicates the feasibility of portable sensors in electronic skin and smart devices.

Indexed as

graphite powdermultiwalled carbon nanotubespiezoresistivepressure sensorwearable

Identifiers

PMID35957068
PMCPMC9370412

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.