Evidence map›Paper›PMID 31652653›Full record

ArticleSensors (Basel, Switzerland)2019

A Simple, Low-Cost Micro-Coating Method for Accuracy Improvement and Its Application in Pressure Sensors.

Jia-Lin Yao, Yu-Xuan Chen, Wen-Jiang Qiang, Xi-Zi Wang, Hao Wei, Bo-Hang Gao, Xing Yang

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 37% of its field
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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

7 authors at 2 institutions in 1 country.

Jia-Lin YaoSchool of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China. colin-yao@foxmail.com.
Yu-Xuan ChenSchool of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China. ustbcyx@163.com.
Wen-Jiang QiangSchool of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China. wjqiang@mater.ustb.edu.cn.
Xi-Zi WangSchool of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China. wxz41604206@163.com.
Hao WeiSchool of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China. 18800167020@163.com.
Bo-Hang GaoSchool of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China. 18810580357@163.com.
Xing YangThe State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing 100084, China. yangxing@tsinghua.edu.cn.
University of Science and Technology Beijing · CNTsinghua University · CN

Funding

Beijing Municipal Natural Science Foundation L172040National Natural Science Foundation of China 61671271, 51705283 and 51735007the Capital Transformational Medicine Project 2018-2Z-4086
6 · The paper itself

Abstract

The demand for high-accuracy pressure sensors has increased with the advancement of technology in a wide variety of applications. However, it is generally difficult and expensive to improve the accuracy of the pressure sensor because it usually depends on the sensing principle and the internal physical structure of the pressure sensor, varying with its material and production process. Thus, a simple, low-cost, and generally applied post-processing method is proposed to improve the accuracy of pressure sensors. In this method, a micro-coating is cladded on the surface of the sensor, which effectively isolates the adverse effect of the external environment, similar to applying a "micro-protective clothing" on the pressure sensor. Experiments on seven pressure sensors are conducted, in which the micron-thin parylene polymer is utilized as the surface-deposited coating layer to demonstrate the improvement of accuracy. Results show that the accuracy was improved, with an average increase of approximately 62.54% than before cladding, while the sensitivity was almost unchanged. The principle of improving the accuracy of this method was also analyzed. The proposed simple, efficient, and low-cost method of cladding micro-coating for enhancing the accuracy of sensors can be widely applied in various fields of industrial automatic control.

Indexed as

accuracy improvementmicro-coatingspost-processing methodspressure sensorsprotective barrier

Identifiers

PMID31652653
PMCPMC6832364
OpenAlexW2981463386

What OpenQuestion holds

Textmetadata
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.