Evidence map›Paper›PMID 37841193›Full record

ArticleACS omega2023

Integrated Water-Level Sensor Using Thin-Film Transistor Technology.

Seung Jae Moon, Ye Lin Han, Sang Ho Hwang, Seo Jin Kang, Jong Mo Lee, Byung Seong Bae

Abstract read
In one paragraph

Article in ACS omega, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Seung Jae MoonSchool of Electronics and Display Engineering, Hoseo University, Asan, Chungnam 31499, Republic of Korea.
Ye Lin HanSchool of Electronics and Display Engineering, Hoseo University, Asan, Chungnam 31499, Republic of Korea.
Sang Ho HwangSchool of Electronics and Display Engineering, Hoseo University, Asan, Chungnam 31499, Republic of Korea.
Seo Jin KangSchool of Electronics and Display Engineering, Hoseo University, Asan, Chungnam 31499, Republic of Korea.
Jong Mo LeeSchool of Electronics and Display Engineering, Hoseo University, Asan, Chungnam 31499, Republic of Korea.
Byung Seong BaeSchool of Electronics and Display Engineering, Hoseo University, Asan, Chungnam 31499, Republic of Korea.ORCID https://orcid.org/0000-0002-3328-0286

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A low-cost water-level sensor was developed utilizing a capacitive sensor design with only one thin-film transistor (TFT). The integration of the a-IGZO TFT process facilitated the complete integration of the water-level sensor on a substrate, including essential components, such as the transistor, capacitor, wires, and sensing electrode. This integration eliminates the need for a separate mounting process, resulting in a robust sensor assembly. To comprehensively assess the performance of the developed water-level sensor, rigorous evaluations were conducted using both MOSFET and TFT integration. In the case of the water-level sensor featuring a-IGZO TFT integration, a voltage output of 4.2 V was measured when the tank was empty, while a voltage output of 0.9 V was measured when the tank was full. Notably, the integrated sensor system demonstrated a higher output voltage compared with the MOSFET sensor, primarily due to the significantly reduced parasitic capacitance of the TFT. The use of a-IGZO TFT in the integrated sensor system contributes to enhanced sensitivity and accuracy. The lower parasitic capacitance inherent in TFT technology allows for improved voltage measurement precision, resulting in more reliable and precise water-level sensing capability. The development of this integrated water-level sensor holds immense potential for a wide range of applications that require a combination of cost-effectiveness, accurate monitoring, and flexibility in form factor. With its affordability, the sensor is accessible for various industries and applications.

Identifiers

PMID37841193
PMCPMC10569014

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.