Evidence map›Paper›PMID 36678006›Full record

ArticleNanomaterials (Basel, Switzerland)2023

Efficient Detection of Nerve Agents through Carbon Nitride Quantum Dots: A DFT Approach.

Yasair S S Al-Faiyz, Sehrish Sarfaraz, Muhammad Yar, Sajida Munsif, Adnan Ali Khan, Bin Amin, Nadeem S Sheikh, Khurshid Ayub

Open access · goldAbstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
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  8. CORSC advances · 2024
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  9. Hierarchical Nanoheterostructure of HFIP-Grafted α-FeNanomaterials (Basel, Switzerland) · 2024
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  10. Article
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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

8 authors at 5 institutions in 3 countries.

Yasair S S Al-FaiyzDepartment of Chemistry, College of Science, King Faisal University, Al-Ahsa 31982, Saudi Arabia.ORCID 0000-0003-4755-613X
Sehrish SarfarazDepartment of Chemistry, COMSATS University Islamabad, Abbottabad Campus, Abbottabad 22060, Pakistan.
Muhammad YarDepartment of Chemistry, COMSATS University Islamabad, Abbottabad Campus, Abbottabad 22060, Pakistan.
Sajida MunsifDepartment of Chemistry, COMSATS University Islamabad, Abbottabad Campus, Abbottabad 22060, Pakistan.
Adnan Ali KhanCentre for Computational Materials Science, University of Malakand, Chakdara 18800, Pakistan.ORCID 0000-0003-4226-6918
Bin AminDepartment of Physics, Abbottabad University of Science & Technology, Abbottabad 22010, Pakistan.
Nadeem S SheikhChemical Sciences, Faculty of Science, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong BE1410, Brunei.ORCID 0000-0002-0716-7562
Khurshid AyubDepartment of Chemistry, COMSATS University Islamabad, Abbottabad Campus, Abbottabad 22060, Pakistan.
COMSATS University Islamabad · PKAbbottabad University of Science and Technology · PKKing Faisal University · SAUniversiti Brunei Darussalam · BNUniversity of Malakand · PK

Funding

King Faisal University 2262
6 · The paper itself

Abstract

V-series nerve agents are very lethal to health and cause the inactivation of acetylcholinesterase which leads to neuromuscular paralysis and, finally, death. Therefore, rapid detection and elimination of V-series nerve agents are very important. Herein, we have carried out a theoretical investigation of carbon nitride quantum dots (C

Indexed as

electron density differences (EDD)frontier molecular orbital (FMO)organophosphorus compoundssensingV-series nerve agents

Identifiers

PMID36678006
PMCPMC9864457
OpenAlexW4313827899

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.