Evidence map›Paper›PMID 40830196›Full record

ArticleMicrosystems & nanoengineering2025

High precision integrated sensors for multi-parameter online monitoring in salt spray environments.

Rentao Cao, Jiawen Yin, Hanyang Tong, Shengkang Lu, Shouhong Li, Wanlei Gao, Jie Zou, Qinghui Jin

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 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

8 authors.

Rentao CaoFaculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, P. R. China.
Jiawen YinFaculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, P. R. China. yinjiawen@nbu.edu.cn.
Hanyang TongFaculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, P. R. China.
Shengkang LuFaculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, P. R. China.
Shouhong LiNational Ocean Technology Center, Tianjin, 300112, P. R. China.
Wanlei GaoFaculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, P. R. China.
Jie ZouFaculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, P. R. China.
Qinghui JinFaculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, P. R. China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62271272Ningbo Municipal Bureau of Science and Technology (Ningbo Science and Technology Bureau) 2022Z092
6 · The paper itself

Abstract

Detecting multiple parameters in salt spray environments is critical, as it significantly enhances the stability and reliability of real-time corrosion monitoring systems. However, current sensor strategies for detecting salt spray parameters face challenges such as poor timeliness, short lifespan, and low detection accuracy. This work introduces a multi-parameter micro-nano sensor based on Micro-Electro-Mechanical Systems (MEMS) technology, which integrates temperature, humidity, and conductivity detection units. Through a systematic characterization of the sensor's performance, the sensor demonstrates excellent linearity, ideal detection ranges, and satisfactory accuracies with detection accuracies of ±0.1 °C for temperature, ±2% RH for humidity, and ±0.1 mS/cm for conductivity. This sensor offers a practical strategy for calculating the instantaneous corrosion rate of aircraft over the ocean. Additionally, based on the positive correlation between the three parameters and the liquid film thickness, a critical threshold determination method for the dynamic behavior of the sensor surface liquid film is further explored. This method macroscopically distinguishes the phase transition boundary between dry and wet states of the liquid film, offering a theoretical foundation for differentiated corrosion rate assessment and improved corrosion prediction accuracy. High-precision monitoring of environmental parameters during long-term salt spray and atmospheric exposure experiments is achieved using a self-developed online testing system. Real-time data compensation is also provided to improve the sensor's stability and accuracy. Consequently, the proposed high-precision, miniaturized, and mass-producible multi-parameter sensor holds great promise as a competitive device for detecting salt spray environmental parameters in real-time corrosion monitoring systems for the aerospace field.

Identifiers

PMID40830196
PMCPMC12365294

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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.