Evidence map›Paper›PMID 41781432›Full record

ArticleScientific reports2026

Design, fabrication and characterization of metamaterial absorber for sensing applications.

Doaa Mohammed Marie Helaly, Mohamed Farhat O Hameed, Nihal F F Areed, S S A Obayya, Ahmed S Saadeldin

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

5 authors.

Doaa Mohammed Marie HelalyElectronics and Communications Department, Faculty of Engineering, University of Mansoura, Mansoura, 35516, Egypt.
Mohamed Farhat O HameedCentre for Nanotechnology, Zewail City of Science, Technology and Innovation, October Gardens, 6th of October City, Giza, 12578, Egypt.
Nihal F F AreedDepartment of Electrical Engineering, College of Engineering, Qassim University, 52571, Buraydah, Saudi Arabia.
S S A ObayyaElectronics and Communications Department, Faculty of Engineering, University of Mansoura, Mansoura, 35516, Egypt. sobayya@zewailcity.edu.eg.
Ahmed S SaadeldinElectronics and Electrical Communications Department, Akhbar Elyom Academy, 6th of October, Giza, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A perfect metamaterial absorber (MMA) is suggested, analyzed, and fabricated for sensing applications. The reported design enhances the absorption at the resonance frequency by suppressing the reflectance and transmittance concurrently. A back metallic reflector is used to eliminate the transmission through the proposed design, while the reflection is minimized by the impedance matching between the proposed MMA and that of free space. Moreover, simultaneous electric and magnetic resonances are supported with nearly perfect absorption at the resonance frequency. The reported design has simulated absorptivity of 99.33% at 28.146 GHz which falls within the mm-Wave spectrum, a band of critical importance for next-generation 5G communication and high-frequency biosensing. Further, the fabricated absorber achieves a measured absorption of 96.5% at 28.12 GHz with a narrow absorption bandwidth. In addition, the resonance frequency strongly depends on the surrounding refractive index, which makes the absorber an effective platform for RI sensing. The simulated sensitivity of the proposed RI sensor is 9520 GHz/RIU when the analyte refractive index changes from 1.3 to 1.35 with simulated Q-factor and FoM of 817 and 427 RIU

Indexed as

Biomedical sensorMetamaterial sensorPerfect absorberRefractive index sensing

Identifiers

PMID41781432
PMCPMC12963428

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.