Evidence map›Paper›PMID 32532122›Full record

ArticleSensors (Basel, Switzerland)2020

Quick and Sensitive Detection of Water Using Galvanic-Coupled Arrays with a Submicron Gap for the Advanced Prediction of Dew Condensation.

Rekha Goswami Shrestha, Yusuke Kubota, Yukihiro Sakamoto, Jin Kawakita

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
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

4 citing papers in PubMed, 15 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Rekha Goswami ShresthaElectric and Electronic Materials Field, Electrochemical Sensors Group, Research Center for Functional Materials, National Institute for Materials Science, Ibaraki 305-0044, Japan.ORCID 0000-0001-6598-5291
Yusuke KubotaElectric and Electronic Materials Field, Electrochemical Sensors Group, Research Center for Functional Materials, National Institute for Materials Science, Ibaraki 305-0044, Japan.
Yukihiro SakamotoGraduate School of Engineering, Chiba Institute of Technology, Chiba 275-0016, Japan.
Jin KawakitaElectric and Electronic Materials Field, Electrochemical Sensors Group, Research Center for Functional Materials, National Institute for Materials Science, Ibaraki 305-0044, Japan.
National Institute for Materials Science · JPChiba Institute of Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have demonstrated a highly sensitive moisture sensor that can detect water molecules, in addition to water droplets, and therefore, can predict dew condensation with high accuracy and high speed before the formation of water droplets, showing a better performance than a commercial hygrometer. Additionally, the dependence of the output response from the sensor on factors, such as the cooling rate of the sensor's surface and the vapor pressure in the chamber, that affect the performance of the moisture sensor has been clarified. The output response showed a clear dependence on the variation in cooling rate, as well as the vapor pressure. The higher the cooling rate and vapor pressure, the higher the output response. The output response showed a linear response to the change in the above-mentioned parameters. The higher sensitivity and accuracy of the moisture sensor, as a function of the physical parameters, such as cooling rates, vapor pressure, enables the sensor to perform in advanced detection applications. The sensor can be modified to the actual target regarding the surface nature and the heat capacity of the target object, making it more suitable for wide applications.

Indexed as

cooling rateelectrodesgalvanic currentsensitivity and accuracythin film of water moleculesvapor pressure

Identifiers

PMID32532122
PMCPMC7313707
OpenAlexW3035080001

What OpenQuestion holds

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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.