Evidence map›Paper›PMID 35095173›Full record

ArticleOptical and quantum electronics2022

Simple, efficient and accurate method toward the monitoring of ethyl butanoate traces.

Z A Alrowaili, Hussein A Elsayed, Ashour M Ahmed, T A Taha, Ahmed Mehaney

Abstract read
In one paragraph

Article in Optical and quantum electronics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Au modified PrFeOFrontiers in bioengineering and biotechnology · 2022
    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.

Z A AlrowailiPhysics Department, College of Science, Jouf University, P.O. Box: 2014, Sakaka, Saudi Arabia.
Hussein A ElsayedTH-PPM Group, Physics Department, Faculty of Science, Beni-Suef University, Beni-Suef, 62512 Egypt.ORCID 0000-0001-7819-9476
Ashour M AhmedPhysics Department, Faculty of Science, Beni-Suef University, Beni-Suef, 62512 Egypt.
T A TahaPhysics Department, College of Science, Jouf University, P.O. Box: 2014, Sakaka, Saudi Arabia.
Ahmed MehaneyTH-PPM Group, Physics Department, Faculty of Science, Beni-Suef University, Beni-Suef, 62512 Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We introduce in this research a simple, accurate, safe, and efficient design for the detection of ethyl butanoate that be present in the dry exhaled breath. In particular, the presence of ethyl butanoate in the dry exhaled breath could be utilized as a platform for the diagnosing of COVID 19. The main idea of this theoretical investigation is based on the inclusion of a cavity layer between a thin layer of Au and the well-known one-dimension photonic crystals. Accordingly, the cavity layer is filled with dry exhaled breath. The numerical results are investigated in the vicinity of the Drude model and transfer matrix method. The investigated results show the appearance of Tamm plasmon resonance in the reflectance spectrum of our design through the IR region. Such resonant mode provides very high sensitivity with the change in the concentration of ethyl butanoate. We have examined the performance of the proposed sensor by calculating its sensitivity, detection limit, detection accuracy, quality factor and figure of merit. The designed sensor could receive sensitivity of 0.3 nm/ppm or 260,486 nm/RIU, resolution of 7 ppm and quality factor of 969.

Indexed as

Biomarkers and biosensorsDefect modeDry exhaled breathEthyl butanoatePhotonic crystalsTP resonance

Identifiers

PMID35095173
PMCPMC8783197

What OpenQuestion holds

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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.