Evidence map›Paper›PMID 40728315›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2025

Simple Model for Hydrophilic, Hydrophobic, and Angstrofluidic Features of Water Confined in Micropores: Effects of Pore Size and Surface Functionality on Mapping of Equilibrium Isotherm Types.

Steven W Rutherford

Abstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

1 author.

Steven W RutherfordDepartment of Mechanical and Industrial Engineering, Montana State University, Bozeman, Montana 59717, United States.ORCID 0009-0002-3714-4422

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrophilic and hydrophobic properties exhibited by microporous materials are foundational to a wide range of mature and emerging technologies. However, robust descriptions of fundamental underpinnings are confounded by conditions of extreme confinement intrinsic to pores of molecular dimensions. Inherent limitations imposed by the failure to capture multiscale behavior of water create a dearth of simplified benchmarks for characterization. Broad analytical assessments that are capable of bridging disparate length scales, unifying equilibrium isotherm types, and identifying interaction mechanisms remain elusive. To this end, the study herein provides a unified model and benchmark to explain wide-ranging observations of water in carbon micropores. Based on Ising-Model-Modified-Kelvin analysis (IMMKA), a set of simple, analytic, governing relations are offered to quantify water adsorption equilibrium. The analysis successfully connects classical hydrophobic and hydrophilic features with isotherm types under stringent conditions of chemical and mechanical equilibrium. Affinity- and hydrophobicity-transforming effects of micropore size and functional site density are captured by the analysis that is vetted by blind and global isotherm prediction. Moreover, the fluidic features of water in angstrom-sized pores (angstrofluidic features) are partitioned and characterized by application to slit pores and nanotubes. Furthermore, extraction of fundamental equilibrium properties permits consideration of conditions for clustering and condensation, prewetting and wetting, and complete or incomplete micropore filling. Through elucidation of angstrofluidic, hydrophilic, and hydrophobic features, this study resolves the perplexing nature of the interaction of water with microporous carbon.

Identifiers

PMID40728315
PMCPMC12356072

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LicenceCC BY-NC-ND
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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.