Evidence map›Paper›PMID 38449824›Full record

ArticleRSC advances2024

High-performance biosensors based on angular plasmonic of a multilayer design: new materials for enhancing sensitivity of one-dimensional designs.

Hussein A Elsayed, Suneet Kumar Awasthi, Abdulkarem H M Almawgani, Ahmed Mehaney, Yahya Ali Abdelrahman Ali, Ahmad Alzahrani, Ashour M Ahmed

Abstract read
In one paragraph

Article in RSC advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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

7 authors.

Hussein A ElsayedDepartment of Physics, College of Science, University of Ha'il Ha'il P.O. Box 2440 Saudi Arabia.ORCID https://orcid.org/0000-0001-7819-9476
Suneet Kumar AwasthiDepartment of Physics and Material Science and Engineering, Jaypee Institute of Information Technology Noida 201304 UP India.ORCID https://orcid.org/0000-0001-7970-5764
Abdulkarem H M AlmawganiElectrical Engineering Department, College of Engineering, Najran University Najran Saudi Arabia.ORCID https://orcid.org/0000-0003-0697-6103
Ahmed MehaneyPhysics Department, Faculty of Science, Beni-Suef University Beni-Suef 62512 Egypt ahmed011236@science.bsu.edu.eg.ORCID https://orcid.org/0000-0002-9318-7358
Yahya Ali Abdelrahman AliInformation Systems Department, College of Computer Sciences and Information Systems, Najran University Najran Saudi Arabia.
Ahmad AlzahraniElectrical Engineering Department, College of Engineering, Najran University Najran Saudi Arabia.
Ashour M AhmedPhysics Department, Faculty of Science, Beni-Suef University Beni-Suef 62512 Egypt ahmed011236@science.bsu.edu.eg.ORCID https://orcid.org/0000-0002-1971-341X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, a theoretical examination is conducted to investigate the biosensing capabilities of different surface plasmon resonance (SPR) based hybrid multilayer structures, which are composed of two-dimensional (2D) materials. The transfer matrix formulation is implemented to calibrate the results of this study. A He-Ne laser of wavelength = 632.8 nm is used to simulate the results. Many permutations and combinations of layers of silver (Ag), aluminum oxynitride (AlON), and 2D materials were utilized to obtain the optimized structure. Ten dielectrics and twelve 2D materials were tested for a highly sensitive multilayer hybrid sensing design, which is composed of the prism (Ohara S-FPL53)/Ag/AlON/WS

Identifiers

PMID38449824
PMCPMC10915466

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.