Evidence map›Paper›PMID 40603561›Full record

ArticleScientific reports2025

Stability of colloidal gas aphrons based on polymer-surfactant formulations and molecular dynamics insights.

Ayaulym Amankeldiyeva, Samal Kaumbekova, Aigerim Khalidulliyeva, Zhanat Salimova, Aizhan Ibrayeva, Maxime Cochennec, Stéfan Colombano, Yerlan Amanbek, Yanwei Wang, Sagyn Omirbekov

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 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. 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

10 authors.

Ayaulym AmankeldiyevaCenter for Energy and Advanced Materials Science, National Laboratory Astana, Nazarbayev University, Astana, Kazakhstan.
Samal KaumbekovaCenter for Energy and Advanced Materials Science, National Laboratory Astana, Nazarbayev University, Astana, Kazakhstan.
Aigerim KhalidulliyevaCenter for Energy and Advanced Materials Science, National Laboratory Astana, Nazarbayev University, Astana, Kazakhstan.
Zhanat SalimovaCenter for Energy and Advanced Materials Science, National Laboratory Astana, Nazarbayev University, Astana, Kazakhstan.
Aizhan IbrayevaCenter for Energy and Advanced Materials Science, National Laboratory Astana, Nazarbayev University, Astana, Kazakhstan.
Maxime CochennecBRGM, F-45060, Orléans, France.
Stéfan ColombanoBRGM, F-45060, Orléans, France.
Yerlan AmanbekDepartment of Mathematics, School of Sciences and Humanities, Nazarbayev University, Astana, Kazakhstan.
Yanwei WangCenter for Energy and Advanced Materials Science, National Laboratory Astana, Nazarbayev University, Astana, Kazakhstan.
Sagyn OmirbekovCenter for Energy and Advanced Materials Science, National Laboratory Astana, Nazarbayev University, Astana, Kazakhstan. sagyn.omirbekov@nu.edu.kz.

Funding

Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan AP19679429
6 · The paper itself

Abstract

Colloidal gas aphrons (CGAs) are promising fluids for environmental remediation due to their stability, high viscosity, and effective gas transport. However, previous studies have been limited by narrow concentration ranges, leaving key mechanisms behind bubble stability insufficiently understood. This study systematically explores bubble stability across a wide range of xanthan gum (XG) and sodium dodecyl sulfate (SDS) concentrations (1-10× CMC and 1000-10,000 ppm) using advanced AI-assisted image analysis and molecular dynamics (MD) simulations. AI-enhanced microscopy enabled precise quantification of bubble size and morphology, while MD provided molecular-level insights into surfactant-polymer interactions at bubble interfaces. Results showed optimal CGA stability at specific surfactant-polymer ratios, significantly reducing gas diffusion and bubble coalescence. These integrated experimental and computational methods offer valuable guidelines for designing robust CGA-based remediation fluids.

Indexed as

Colloidal gas aphronsImage analysisMolecular dynamics simulationPolymerStabilitySurfactant

Identifiers

PMID40603561
PMCPMC12222480

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.