Evidence map›Paper›PMID 41662510›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2026

Surface Tension Isotherms: Reconceptualizing Adsorption, Self-Assembly, and Micelle Formation via the Fluctuation Theory.

Seishi Shimizu, Nobuyuki Matubayasi

Abstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 2026. 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

2 authors.

Seishi ShimizuYork Structural Biology Laboratory, Department of Chemistry, University of York, Heslington, York YO10 5DD, United Kingdom.ORCID 0000-0002-7853-1683
Nobuyuki MatubayasiDivision of Chemical Engineering, Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka 560-8531, Japan.ORCID 0000-0001-7176-441X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given a surface tension isotherm (i.e., how interfacial free energy changes with the surfactant concentration), can we gain insight into how surfactant molecules interact at the interface and in the bulk solution? Historically, surfactants were modeled to bind onto a uniform interface, before aggregating stoichiometrically at the critical micelle concentration (CMC). However, this simple model contrasts with counterevidence, e.g., premicelles (smaller aggregates below CMC) and aggregate size distribution, necessitating a departure from stoichiometric aggregation models. To this end, a novel theory for surface tension will be established by synthesizing the statistical thermodynamic fluctuation theory for sorption and self-assembly in solution. This theory provides a link between the functional shape of a surface tension isotherm and the underlying interactions. We demonstrate that the gradient and curvature of a surface tension isotherm reveal a competition between surfactant sorption and bulk number fluctuation without employing any model assumptions. This novel theory proposes to (i) redefine the surfactant aggregation number using number fluctuations to replace the stoichiometric model, (ii) generalize the Szyszkowski-Langmuir isotherm (which implicitly assumes site-specific adsorption on uniformly distributed binding sites) with the novel ABC isotherm to capture the surface-bulk difference of surfactant number correlation, and (iii) replace the surfactant "area-per-molecule" with the projected area, by incorporating the thickness of the interface. This theory can be applied to surfactants and small molecules (e.g., alcohols) alike, eliminating the need for separate models over a spectrum of self-association propensities.

Identifiers

PMID41662510
PMCPMC12937112

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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.