Evidence map›Paper›PMID 36501464›Full record

ArticlePolymers2022

Enhancing Smart Sensor Tag Sensing Performance-Based on Modified Plasma-Assisted Electrochemical Exfoliated Graphite Nanosheet.

Tzu-Hsuan Lin, Alan Putranto, Yan-Ting Wang, Qing-Hao Yang, Ren-Jang Wu, Chia-Hao Liu, Che-Kuan Lin, Murthy Chavali

Abstract read
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In one paragraph

Article in Polymers, 2022. 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
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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

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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.

Tzu-Hsuan LinDepartment of Civil Engineering, National Central University, Taoyuan 32011, Taiwan.
Alan PutrantoDepartment of Civil Engineering, National Central University, Taoyuan 32011, Taiwan.ORCID 0000-0003-4732-868X
Yan-Ting WangDepartment of Civil Engineering, National Central University, Taoyuan 32011, Taiwan.
Qing-Hao YangDepartment of Civil Engineering, National Central University, Taoyuan 32011, Taiwan.
Ren-Jang WuDepartment of Applied Chemistry, Providence University, Taichung 43301, Taiwan.
Chia-Hao LiuDepartment of Applied Chemistry, Providence University, Taichung 43301, Taiwan.
Che-Kuan LinDepartment of Applied Chemistry, Providence University, Taichung 43301, Taiwan.
Murthy ChavaliOffice of the Dean (Research) and Department of Chemistry, Faculty of Science Technology, Alliance University (Central Campus), Chandapura-Anekal Main Road, Bengaluru 562106, Karnataka, India.ORCID 0000-0003-3910-2322

Funding

Ministry of Science and Technology of the People's Republic of China MOST 107-2218-E-008-01-MY2Ministry of Science and Technology of the People's Republic of China MOST 109-2221-E-008-003-MY3
6 · The paper itself

Abstract

Water that penetrates through cracks in concrete can corrode steel bars. There is a need for reliable and practical seepage sensing technology to prevent failure and determine the necessary maintenance for a concrete structure. Therefore, we propose a modified plasma-assisted electrochemical exfoliated graphite (MPGE) nanosheet smart tag. We conducted a comparative study of standard and modified RFID smart tags with sensor technology for seepage detection in concrete. The performance of both smart tags was tested and verified for seepage sensing in concrete, characterized by sensor code and frequency values. Seepage was simulated by cracking the concrete samples, immersing them for a designated time, and repeating the immersing phase with increasing durations. The test showed that the modified smart tag with 3% MPGE and an additional crosslinking agent provided the best sensitivity compared with the other nanosheet compositions. The presence of 3D segregated structures on the smart tag's sensing area successfully enhanced the sensitivity performance of seepage detection in concrete structures and is expected to benefit structural health monitoring as a novel non-destructive test method.

Indexed as

concrete structuremodified RFIDnanosheet coating layernon-destructive testseepage detectionsensitivity performance

Identifiers

PMID36501464
PMCPMC9737323

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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.