Evidence map›Paper›PMID 39860663›Full record

ArticleSensors (Basel, Switzerland)2025

Research on the Sensitivity Enhancement Method of Inductive Conductivity Sensors Based on Impedance Matching.

Yang Li, Rongxing Yu, Zhiqiang Liu, Yujie Gao, Chengxu Tang, Qiao Li, Chao Yuan

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

7 authors.

Yang LiEHV Transmission Companies Dali Office of China Southern Power Grid Co., Ltd., Dali 671000, China.
Rongxing YuEHV Transmission Companies Dali Office of China Southern Power Grid Co., Ltd., Dali 671000, China.
Zhiqiang LiuEHV Transmission Companies Dali Office of China Southern Power Grid Co., Ltd., Dali 671000, China.
Yujie GaoEHV Transmission Companies Dali Office of China Southern Power Grid Co., Ltd., Dali 671000, China.
Chengxu TangCollege of Electrical and Information Engineering, Hunan University, Changsha 410082, China.
Qiao LiCollege of Electrical and Information Engineering, Hunan University, Changsha 410082, China.ORCID 0000-0002-8940-9966
Chao YuanCollege of Electrical and Information Engineering, Hunan University, Changsha 410082, China.ORCID 0000-0001-9346-7256

Funding

China Southern Power Grid (China) CGYKJXM20220352
6 · The paper itself

Abstract

This paper presents the design and performance evaluation of an inductive conductivity sensor with a double tuning impedance matching network to enhance sensitivity and improve linearity. The sensor's equivalent circuit model is analyzed and verified through simulation, and impedance matching is shown to significantly increase the sensor's output signal, particularly at low conductivity measurements. Double tuning impedance matching expands the frequency response range and optimizes power transfer efficiency, achieving a higher power factor across a broader frequency range. Experimental results confirm that the sensor's sensitivity increases by approximately 30% after impedance matching with optimal performance at a frequency of 9865 Hz. Furthermore, while the impedance matching improves sensitivity, it also introduces some nonlinear errors, which are evaluated using a performance function that balances sensitivity and linearity. The results demonstrate that impedance matching enhances the sensor's measurement capability, making it more effective in practical applications where conductivity changes need to be accurately monitored across varying frequencies.

Indexed as

impedance matchinginductive conductivity sensorsensitivity enhancementsignal optimization

Identifiers

PMID39860663
PMCPMC11768287

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.