Evidence map›Paper›PMID 38414992›Full record

ArticleRSC advances2024

Exploring the sensing potential of Fe-decorated h-BN toward harmful gases: a DFT study.

Muhammad Isa Khan, Muhammad Imtiaz Akber, Muhammad Gul, Noor Ul Ain, Tahir Iqbal, Saleh S Alarfaji, Abid Mahmood

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  11. Impact of N-Doping on MoSeChemistryOpen · 2025
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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

7 authors.

Muhammad Isa KhanDepartment of Physics, Rahim Yar Khan Campus, The Islamia University of Bahawalpur Bahawalpur Pakistan Muhammad.isa@iub.edu.pk imtiazakbar4561@gmail.com mgul@cern.ch.ORCID https://orcid.org/0000-0002-3324-0532
Muhammad Imtiaz AkberDepartment of Physics, Rahim Yar Khan Campus, The Islamia University of Bahawalpur Bahawalpur Pakistan Muhammad.isa@iub.edu.pk imtiazakbar4561@gmail.com mgul@cern.ch.
Muhammad GulDepartment of Physics, Rahim Yar Khan Campus, The Islamia University of Bahawalpur Bahawalpur Pakistan Muhammad.isa@iub.edu.pk imtiazakbar4561@gmail.com mgul@cern.ch.
Noor Ul AinInstitute of Physics, Bagdad-ul-Jadeed Campus, The Islamia University of Bahawalpur Bahawalpur Pakistan noorulain@iub.edu.pk.
Tahir IqbalDepartment of Physics, University of Gujrat Gujrat 50700 Pakistan tahir.awan@uog.edu.pk.
Saleh S AlarfajiDepartment of Chemistry, Faculty of Science, King Khalid University P.O. Box 9004 Abha 61413 Saudia Arabia ssalarvagi@kku.edu.sa.
Abid MahmoodDepartment of Environmental Sciences, Government College University Faisalabad Pakistan imabid4u@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gas sensing technology has a broad impact on society, ranging from environmental and industrial safety to healthcare and everyday applications, contributing to a safer, healthier, and more sustainable world. We studied pure and Fe-decorated hexagonal boron nitride (h-BN) gas sensor for monitoring of carbon-based gases using density functional theory (DFT). The calculations utilized the Generalized Gradient Approximation with the Perdew-Burke-Ernzerhof (GGA-PBE) exchange-correlation functional. The novelty of our study lies in the investigation of the adsorption of harmful gases such as carbonyl sulfide, carbinol, carbimide, and carbonyl fluoride on both pure and Fe-decorated h-BN. The deviation in structural, electronic, and adsorption properties of h-BN due to Fe decoration has been studied along with the sensing ability to design said material towards carbon monoxide (CO), carbon dioxide (CO

Identifiers

PMID38414992
PMCPMC10897782

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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.