Evidence map›Paper›PMID 40942718›Full record

ArticleSensors (Basel, Switzerland)2025

Design of a Rapid and Accurate Calibration System for Pressure Sensors with Minimized Temperature Variation.

Juntong Cui, Shubin Zhang, Yanfeng Jiang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

3 authors.

Juntong CuiSchool of Integrated Circuits, Jiangnan University, Wuxi 214122, China.ORCID 0009-0002-4722-6245
Shubin ZhangSchool of Integrated Circuits, Jiangnan University, Wuxi 214122, China.
Yanfeng JiangSchool of Integrated Circuits, Jiangnan University, Wuxi 214122, China.ORCID 0000-0002-5006-5190

Funding

National Natural Science Foundation of China 62204100Postdoctoral Research Foundation of Zhejiang Province ZJ2020101Postdoctoral Science Foundation of China 2021M691360
6 · The paper itself

Abstract

Miniaturized pressure sensors fabricated via micro-electro-mechanical systems (MEMSs) technology are ubiquitous in modern applications. However, the massively produced MEMS pressure sensors, prior to being practically used, need to be calibrated one by one to eliminate or minimize nonlinearity and zero drift. This paper presents a systematic design for the testing and calibration process of MEMS-based absolute pressure sensors. Firstly, a numerical analysis is carried out using finite element method (FEM) simulation, which verifies the accuracy of the temperature control of the physical calibration system. The simulation results reveal a slight non-uniformity of temperature distribution, which is then taken into consideration in the calibration algorithm. Secondly, deploying a home-made calibration system, the MEMS pressure sensors are tested automatically and rapidly. The experimental results show that each batch, which consists of nine sensors, can be calibrated in 80 min. The linearity and temperature coefficient (TC) of the pressure sensors are reduced from 46.5% full-scale (FS) and -1.35 × 10

Indexed as

finite element method (FEM) simulationnonlinearity and zero driftsensor calibration systemsensor conditioningtemperature compensation

Identifiers

PMID40942718
PMCPMC12431332

What OpenQuestion holds

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LicenceCC BY
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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.