Evidence map›Paper›PMID 37407702›Full record

ArticleScientific reports2023

High throughput computations of the effective removal of liquified gases by novel perchlorate hybrid material.

Tomsmith O Unimuke, Hitler Louis, Onyinye J Ikenyirimba, Gideon E Mathias, Adedapo S Adeyinka, Chérif Ben Nasr

RetractedErratum issuedAbstract readRetracted Publication
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Tomsmith O UnimukeComputational and Bio-Simulation Research Group, University of Calabar, P.M.B 1115, Calabar, Nigeria. ojtomtsm@gmail.com.
Hitler LouisComputational and Bio-Simulation Research Group, University of Calabar, P.M.B 1115, Calabar, Nigeria. louismuzong@gmail.com.
Onyinye J IkenyirimbaComputational and Bio-Simulation Research Group, University of Calabar, P.M.B 1115, Calabar, Nigeria.
Gideon E MathiasComputational and Bio-Simulation Research Group, University of Calabar, P.M.B 1115, Calabar, Nigeria.
Adedapo S AdeyinkaDepartment of Chemical Sciences, Research Centre for Synthesis and Catalysis, University of Johannesburg, Johannesburg, 2006, South Africa.
Chérif Ben NasrLaboratoire de Chimie des Matériaux, Faculté des Sciences de Bizerte, Université de Carthage, 7021, Zarzouna, Tunisie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The utilization of hybrid materials in separation technology, sorbents, direct air capture (DAC) technology, sensors, adsorbents, and chiral material recognition has increased in the past decade due to the recognized impact of atmospheric pollutants and hazardous industrial gases on climate change. A novel hybrid material, perchlorate hybrid (PClH), has been proposed in this study for the effective sensory detection and trapping of atmospheric pollutants and industrial hazardous gases. The study evaluated the structural properties, adsorption mechanism, electronic sensitivity, and topological analysis of PClH using highly accurate computational methods (M062X-D3BJ/def2-ccpVTZ and DSDPBEP86/def2-ccpVTZ). The computational analysis demonstrated that PClH has considerable adsorption energies and favorable interaction with CO2, NO2, SO2, COCl2, and H2S. PClH is more suitable for detecting liquefiable gases such as COCl2, CO2, and SO2, and can be easily recovered under ambient conditions. Developing such materials can contribute to reducing hazardous gases and pollutants in the atmosphere, leading to a cleaner and safer environment.

Identifiers

PMID37407702
PMCPMC10322887

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.