Evidence map›Paper›PMID 41312502›Full record

ArticleRSC advances2025

An integrated molecular-thermodynamic framework for analyzing nanobubbles in supersaturated liquids.

Ali Ghamartale, Ehsan Shahini, Aditya Jain, Rogerio Manica, Peter Berg, Tian Tang

Abstract read
In one paragraph

Article in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Ali GhamartaleDepartment of Mechanical Engineering, University of Alberta Edmonton Alberta T6G 1H9 Canada tian.tang@ualberta.ca.
Ehsan ShahiniDepartment of Mechanical Engineering, University of Alberta Edmonton Alberta T6G 1H9 Canada tian.tang@ualberta.ca.ORCID https://orcid.org/0000-0003-2696-2059
Aditya JainDepartment of Mechanical Engineering, Delhi Technological University New Delhi Delhi 110042 India.
Rogerio ManicaDepartment of Mathematical and Statistical Sciences, University of Alberta Edmonton Alberta T6G 2G1 Canada.ORCID https://orcid.org/0000-0002-2247-4536
Peter BergDepartment of Physics, Brock University St. Catharines Ontario L2S 3A1 Canada.
Tian TangDepartment of Mechanical Engineering, University of Alberta Edmonton Alberta T6G 1H9 Canada tian.tang@ualberta.ca.ORCID https://orcid.org/0000-0002-2387-3571

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nano-sized gas bubbles have attracted significant interest in electro-chemical applications due to their durability and longevity. Accurately predicting nanobubble formation and their size is critical for advancing technologies such as electrolysis and fuel cell systems. This study presents an integrated framework combining molecular dynamics (MD) simulations and thermodynamic modelling to determine nanobubble formation and size in a closed system under isothermal-isobaric condition. Assuming the nanobubble consists of a van der Waals (vdW) gas, the vdW constants are extracted from MD simulations of pure gas systems. A thermodynamic model is then developed for a closed system by combining the vdW equation with the assumption of chemical and mechanical equilibrium, which establishes a predictive relationship between nanobubble size and gas concentration. To validate the framework, MD simulations are performed for hydrogen in water under supersaturation, and the results are compared with thermodynamic model predictions. Comparisons are also made with experimental reports of nanobubbles. Our findings reveal that nanobubbles only form above a critical supersaturation threshold. The framework accurately predicts nanobubble radii in hydrogen-water systems, matching MD results while requiring minimal computational effort. When the pressure inside the nanobubble is approximated from the vdW equation of state, the Young-Laplace equation is shown to be valid even at sub-10 nm scales, with a negligible Tolman length. In contrast, the assumption of an ideal gas in thermodynamic modelling leads to considerable discrepancy with MD simulations. Overall, the proposed approach-bridging MD and thermodynamic modelling-paves the way toward a quantitative understanding of nanobubble formation and size in supersaturated liquids.

Identifiers

PMID41312502
PMCPMC12650316

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LicenceCC BY-NC
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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.