Evidence map›Paper›PMID 37147337›Full record

ArticleScientific reports2023

Double-negative metamaterial square enclosed Q.S.S.R For microwave sensing application in S-band with high sensitivity and Q-factor.

Muhammad Amir Khalil, Wong Hin Yong, Mohammad Tariqul Islam, Ahasanul Hoque, Md Shabiul Islam, Cham Chin Leei, Mohamed S Soliman

RetractedErratum issuedAbstract readRetracted Publication
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Muhammad Amir KhalilFaculty of Engineering (F.O.E.), Multimedia University (MMU), 63100, Cyberjaya, Selangor, Malaysia.
Wong Hin YongFaculty of Engineering (F.O.E.), Multimedia University (MMU), 63100, Cyberjaya, Selangor, Malaysia. hywong@mmu.edu.my.
Mohammad Tariqul IslamDepartment of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, University Kebangsaan Malaysia, 43600, Bangi, Malaysia. tariqul@ukm.edu.my.
Ahasanul HoqueInstitute of Climate Change, University Kebangsaan Malaysia, 43600, Bangi, Malaysia. ahasanul@ukm.edu.my.
Md Shabiul IslamFaculty of Engineering (F.O.E.), Multimedia University (MMU), 63100, Cyberjaya, Selangor, Malaysia.
Cham Chin LeeiFaculty of Engineering (F.O.E.), Multimedia University (MMU), 63100, Cyberjaya, Selangor, Malaysia.
Mohamed S SolimanDepartment of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia.

Funding

Ministry of Higher Education (M.O.H.E.) Malaysia FRGS/1/2021/TK0/MMU/01/1
6 · The paper itself

Abstract

Metamaterials have gained much attention due to their exciting characteristics and potential uses in constructing valuable technologies. This paper presents a double negative square resonator shape metamaterial sensor to detect the material and its thickness. An innovative double-negative metamaterial sensor for microwave sensing applications is described in this paper. It has a highly sensitive Q-factor and has good absorption characteristics approximately equal to one. For the metamaterial sensor, the recommended measurement is 20 by 20 mm. Computer simulation technology (C.S.T.) microwave studios are used to design the metamaterial structure and figure out its reflection coefficient. Various parametric analyses have been performed to optimize the design and size of the structure. The experimental and theoretical results are shown for a metamaterial sensor that is attached to five different materials such as, Polyimide, Rogers RO3010, Rogers RO4350, Rogers RT5880, and FR-4. A sensor's performance is evaluated using three different thicknesses of FR-4. There is a remarkable similarity between the measured and simulated outcomes. The sensitivity values for 2.88 GHz and 3.5 GHz are 0.66% and 0.19%, respectively, the absorption values for both frequencies are 99.9% and 98.9%, respectively, and the q-factor values are 1413.29 and 1140.16, respectively. In addition, the figure of merit (FOM) is analyzed, and its value is 934.18. Furthermore, the proposed structure has been tested against absorption sensor applications for the purpose of verifying the sensor's performance. With a high sense of sensitivity, absorption, and Q-factor, the recommended sensor can distinguish between thicknesses and materials in various applications.

Identifiers

PMID37147337
PMCPMC10163240

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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.