Evidence map›Paper›PMID 38004971›Full record

ArticleMicromachines2023

Design and Fabrication of a Novel Corona-Shaped Metamaterial Biosensor for Cancer Cell Detection.

Nourelhouda Dadouche, Zinelabiddine Mezache, Junwu Tao, Enas Ali, Mohammad Alsharef, Abdullah Alwabli, Amar Jaffar, Abdullah Alzahrani, Achouak Berazguia

Abstract read
In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Nourelhouda DadoucheInstitute of Optics and Precision Mechanics, University of Ferhat Abbas Setif, Setif 19000, Algeria.
Zinelabiddine MezacheInstitute of Optics and Precision Mechanics, University of Ferhat Abbas Setif, Setif 19000, Algeria.
Junwu TaoLAPLACE, INP-ENSEEIHT, 2 Rue Camichel, 31071 Toulouse, France.
Enas AliFaculty of Engineering and Technology, Future University in Egypt, New Cairo 11835, Egypt.ORCID 0000-0002-8943-2154
Mohammad AlsharefDepartment of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.
Abdullah AlwabliDepartment of Electrical Engineering, College of Engineering and Computing in Al-Qunfudhah, Umm Al-Qura University, Mecca 21955, Saudi Arabia.ORCID 0000-0003-4239-9470
Amar JaffarComputer and Network Engineering Department, College of Computing, Umm Al-Qura University, Mecca 21955, Saudi Arabia.ORCID 0000-0001-9821-4696
Abdullah AlzahraniDepartment of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.
Achouak BerazguiaInstitute of Optics and Precision Mechanics, University of Ferhat Abbas Setif, Setif 19000, Algeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The early detection and diagnosis of cancer presents significant challenges in today's healthcare. So, this research, suggests an original experimental biosensor for cell cancer detection using a corona-shaped metamaterial resonator. This resonator is designed to detect cancer markers with high sensitivity, selectivity, and linearity properties. By exploiting the unique properties of the corona metamaterial structure in the GHz regime, the resonator provides enhanced interaction of electromagnetic waves and improved detection skills. Through careful experimental, simulation, and optimization studies, we accurately demonstrate the resonator's ability to detect cancer. The proposed detection system is capable of real-time non-invasive cancer detection, allowing for rapid intervention and better patient outcomes. The sensitivity value was confirmed through simulation, estimated at 0.1825 GHz/RIU. The results of two different simulation methods are used: the simulation software CST Studio Suite (version 2017) based on the finite element method (FEM), and the simulation software ADS (version 2019) based on the equivalent circuit method, thereby increasing confidence in the convergence of simulation and measurement results. This work opens new avenues for developing advanced detection technologies in the field of oncology, and paves the way for more effective cancer diagnosis. The experimental study verified that this realized sensor has very small frequency shifts, significantly small electrical dimension and miniaturization, high sensitivity, and good linearity. The suggested configurations showed a capacity for sensing cancer cells in the GHz regime.

Indexed as

biosensorcancercorona formmetamaterial resonatornetwork analyzer

Identifiers

PMID38004971
PMCPMC10673234

What OpenQuestion holds

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LicenceCC BY
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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.