Evidence map›Paper›PMID 40283276›Full record

ArticleMicromachines2025

Low Noise Feed-Through Compensation Circuit Design for Resonant MEMS Pressure Sensor.

Jialuo Liao, Pinghua Li, Jiaqi Miao, Ruimei Liang, Zhongfeng Gao, Xuye Zhuang

Abstract read
In one paragraph

Article in Micromachines, 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
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0citing papers in PubMed
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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

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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

6 authors.

Jialuo LiaoCollege of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.ORCID 0009-0005-9439-6206
Pinghua LiCollege of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.
Jiaqi MiaoCollege of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.
Ruimei LiangCollege of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.
Zhongfeng GaoCollege of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.
Xuye ZhuangCollege of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.

Funding

Natural Science Foundation of Shandong Province ZR2021MF042The Taishan Scholars Program of Shandong Province tsqn201909108
6 · The paper itself

Abstract

The feed-through effect of resonant pressure sensors usually introduces interfering noise signals, leading to the degradation of sensitivity, linearity, and other performances of the sensor test system. A low-noise charge amplifier and its feed-through compensation circuit are designed to realize high-precision measurements. The designed improved charge amplifier has a differential common-source structure as the output buffer stage, which can effectively reduce the output noise of the circuit while increasing the input impedance, thus improving the accuracy of the feed-through compensation coefficient. By establishing the equivalent circuit model of the sensor and analyzing the influence of the feed-through effect on the sensor test, the feed-through compensation circuit is designed to suppress the feed-through signal. Experimental testing of the sensor proves that the designed circuit can effectively suppress the feed-through effect of the sensor. The noise power spectral density of the improved charge amplifier is tested to be 26.74 nV/√Hz, which is a 65% reduction in noise density. The feed-through compensation circuit eliminates the interference frequency of 34,919 Hz introduced by the feed-through capacitor. Additionally, the resonance peak of the intrinsic resonance frequency of the pressure sensor is -40.75 dBV, which is reduced by 8 dBV compared with that before the feed-through compensation. The feed-through compensation circuit effectively reduces the feed-through interference signal of the sensor, improves the measurement accuracy of the test system, and provides technical support for the design of a low-noise, high-precision, stable, and reliable sensor test system.

Indexed as

charge amplifierfeed-through effectnoise optimizationresonant pressure sensor

Identifiers

PMID40283276
PMCPMC12029430

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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.