Evidence map›Paper›PMID 38744728›Full record

ArticleJournal of molecular modeling2024

Efficient detection of nitric oxide a biomarker associated with COVID19 via N, P co-doped C

Adnan Ali Khan, Rashid Ahmad, Fazal Mehmood, Iftikhar Ahmad

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular modeling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Effect of boron-doping and electric field on COJournal of molecular modeling · 2026
    Article
  2. 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

4 authors.

Adnan Ali KhanCenter for Computational Materials Science, University of Malakand, Chakdara, Pakistan. aak95287@gmail.com.
Rashid AhmadCenter for Computational Materials Science, University of Malakand, Chakdara, Pakistan. rashmad@gmail.com.
Fazal MehmoodInstitiute for Advanced Study, Shenzhen University, Shenzhen, 558060, China.
Iftikhar AhmadCenter for Computational Materials Science, University of Malakand, Chakdara, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextCoronavirus (COVID-19) is a novel respiratory viral infection, causing a relatively large number of deaths especially in people who underly lung diseases such as chronic obstructive pulmonary and asthma, and humans are still suffering from the limited testing capacity. In this article, a solution is proposed for the detection of COVID-19 viral infections through the analysis of exhaled breath gasses, i.e., nitric oxide, a prominent biomarker released by respiratory epithelial, as a non-invasive and time-saving approach. Here, we designed a novel and low-cost N and P co-doped C

methodsThe geometries of N and P-doped systems and gas molecules are simulated using spin-polarized density functional theory calculations.

Indexed as

BiomarkersCOVID-19FullerenesNitric OxideBreath TestsHumansSARS-CoV-2BiomarkersFullerenesNitric OxideBreathalyzerCOVID-19DFTExhaled breath gassesScreeningViral infections

Identifiers

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.