Evidence map›Paper›PMID 41188474›Full record

ArticleScientific reports2025

Analysis of the CO

Souhail M Bouzgarrou, Khouloud Guettiti, Amin Naifar, Fatma Aouaini, Afzal Husain Khan, Rym Hassani, Gamal A Abdelhamed Saad

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. 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

7 authors.

Souhail M BouzgarrouCivil and Architectural Engineering Department, College of Engineering and Computer Sciences, Jazan University, P.O Box 706, 45142, Jazan, Saudi Arabia. sbouzgarrou@jazanu.edu.sa.
Khouloud GuettitiLaboratory of Mechanics, Materials and Processes (LR99ES05), University of Tunis, ENSIT, 1008, Montfleury, Tunisia.
Amin NaifarPreparatory Institute for Engineering Studies of Kairouan, (I.P.E.I.K), University of Kairouan, Kairouan, Tunisia.
Fatma AouainiDepartment of Physics, Faculty of Science, University of Monastir, BP56, 5000, Monastir, Tunisia.
Afzal Husain KhanCivil and Architectural Engineering Department, College of Engineering and Computer Sciences, Jazan University, P.O Box 706, 45142, Jazan, Saudi Arabia.
Rym HassaniChemistry Department, Center for Environmental and Nature Research, Jazan University, P.O Box 114, Jazan, Saudi Arabia.
Gamal A Abdelhamed SaadCivil and Architectural Engineering Department, College of Engineering and Computer Sciences, Jazan University, P.O Box 706, 45142, Jazan, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rising concentration of atmospheric CO₂ is a major driver of climate change, necessitating the development of efficient carbon capture technologies. This study quantitatively investigates the surface buildup and multilayer adsorption behavior of CO₂ on activated carbon (AC) using a probabilistic modeling framework in conjunction with adsorption experiments. Key parameters analyzed include the number of adsorption layers, adhesion energy (ΔEa), internal energy (Eint), and void density (DM). Results reveal that CO₂ adsorption on AC forms three to four distinct layers under optimal pressure and temperature conditions, with elevated temperatures reducing the number of layers due to increased interaction energy. The process is characterized as exothermic physisorption (ΔEa: 23.08–23.78 kJ/mol) with no evidence of chemical bonding. Multilayer adsorption effectively compensates for AC’s high density of active sites, thereby enhancing CO₂ capture efficiency. These insights advance the understanding of CO₂ sorption mechanisms on heterogeneous surfaces and guide the design of more thermally stable and efficient carbon capture materials.

Indexed as

Activated CarbonCO2Gas effluxModelingMultilayer scenarioProbabilistic mechanics

Identifiers

PMID41188474
PMCPMC12586593

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.