Evidence map›Paper›PMID 41900274›Full record

ArticleMicromachines2026

Enhanced Fringing Field Micro-Moisture Sensor with Elements Optimization.

Xiangrui Meng, Chong Li, Yunlong Lan, Lining Tan, Xiaoxiao Zhang

Abstract read
In one paragraph

Article in Micromachines, 2026. 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

5 authors.

Xiangrui MengDepartment of Automation and Measurement, Ocean University of China, Qingdao 266100, China.ORCID 0000-0002-9412-9678
Chong LiDepartment of Automation and Measurement, Ocean University of China, Qingdao 266100, China.ORCID 0000-0002-1742-0963
Yunlong LanSchool of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China.
Lining TanSchool of Electronics and Information Engineering, Rocket Force University of Engineering, Xi'an 710025, China.ORCID 0000-0003-1650-2585
Xiaoxiao ZhangInstitute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China.

Funding

National Natural Science Foundation of China U2541224
6 · The paper itself

Abstract

This research demonstrates the principle and optimization methodology to create economic and miniaturized high-resolution micro-moisture sensors. The interdigitated fringe electric field-based moisture measurement principle is firstly investigated to sketch the key parameters of printed circuit board (PCB)-based sensors for further performance optimization. Then, a comprehensive study is conducted to analyze parameter variations with conclusions of suggested design rules to achieve higher measurement sensitivity. Two prototypes are designed and manufactured to validate the proposed theoretical contributions. Water droplets are employed to control the ambient relative humidity, which is adopted as the actual moisture variable in this work. A double-correlated sampling circuit is used for capacitance sensing. Both of them demonstrate a linearity of 1% and sensitivity of 0.1 pF/mg levels, but prototype 2 gains a better batch consistency, which is beneficial for commercialization. Further data analysis suggests that the equivalent input-output sensitivity reaches a level of 1.2403 pF/%RH (relative humidity), which is significantly higher than other types of published interdigitated fringe electric field-type moisture sensors. The optimized prototypes also show advantages of miniaturized size, low cost and high consistency, which can potentially impact the industry applications.

Indexed as

fringing electric field sensormoisture detectionsensor optimization

Identifiers

PMID41900274
PMCPMC13028875

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.