Evidence map›Paper›PMID 36575667›Full record

ArticleDiamond and related materials2023

SARS-CoV-2 detecting rapid metasurface-based sensor.

Shobhit K Patel, Jaymit Surve, Juveriya Parmar, Khaled Aliqab, Meshari Alsharari, Ammar Armghan

Open access · greenAbstract read
In one paragraph

Article in Diamond and related materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
27.0field-weighted citation impact, top 1% of its field
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

10 citing papers in PubMed, 50 citations in OpenAlex.

  1. Engineering TiRSC advances · 2026
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  2. Article
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  4. Bimetallic TiRSC advances · 2025
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  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. 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

6 authors at 3 institutions in 3 countries.

Shobhit K PatelDepartment of Computer Engineering, Marwadi University, Rajkot, Gujarat - 360003, India.
Jaymit SurveDepartment of Electrical Engineering, Marwadi University, Rajkot, Gujarat - 360003, India.
Juveriya ParmarDepartment of Mechanical and Materials Engineering, University of Nebraska-Lincoln, 1400 R St., NE 68588, USA.
Khaled AliqabDepartment of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi Arabia.
Meshari AlsharariDepartment of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi Arabia.
Ammar ArmghanDepartment of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi Arabia.
Al Jouf University · SAMarwadi University · INUniversity of Nebraska–Lincoln · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have proposed a novel approach to detect COVID-19 by detecting the ethyl butanoate which high volume ratio is present in the exhaled breath of a COVID-19 infected person. We have employed a refractive index sensor (RIS) with the help of a metasurface-based slotted T-shape perfect absorber that can detect ethyl butanoate present in exhaled breath of COVID-19 infected person with high sensitivity and in-process SARS-CoV-2. The optimized structure of the sensor is obtained by varying several structure parameters including structure length and thickness, slotted T-shape resonator length, width, and thickness. Sensor's performance is evaluated based on numerous factors comprising of sensitivity, Q factor, detection limit, a figure of merit (FOM), detection accuracy, and other performance defining parameters. The proposed slotted T-shape RIS achieved the largest sensitivity of 2500 nm/RIU, Q factor of 131.06, a FOM of 131.58 RIU

Indexed as

Ethyl butanoateGrapheneMetasurfaceSARS-CoV-2

Identifiers

PMID36575667
PMCPMC9780024
OpenAlexW4312159594

What OpenQuestion holds

Textmetadata
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.