Evidence map›Paper›PMID 42534719›Full record

ArticleMacromolecules2026

Molecular Dynamics Investigation of Oil Wetting on Synthetic Polymer Substrates.

Hang Zhang, Sahana V Sundar, Shawn M Maguire, Rodney D Priestley, Emily C Davidson, Michael A Webb

Abstract read
In one paragraph

Article in Macromolecules, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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.

Hang ZhangDepartment of Chemistry, Princeton University, Princeton, New Jersey 08540, United States.ORCID https://orcid.org/0000-0001-6201-1248
Sahana V SundarDepartment of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08540, United States.ORCID https://orcid.org/0009-0009-6798-6365
Shawn M MaguireDepartment of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08540, United States.ORCID https://orcid.org/0000-0002-5317-4990
Rodney D PriestleyDepartment of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08540, United States.ORCID https://orcid.org/0000-0001-6765-2933
Emily C DavidsonDepartment of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08540, United States.ORCID https://orcid.org/0000-0001-5819-9233
Michael A WebbDepartment of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08540, United States.ORCID https://orcid.org/0000-0002-7420-4474

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the interaction of polymer surfaces with nonpolar, low surface tension liquids, or whether a substrate is oleophobic versus oleophilic, is critical for applications ranging from antifingerprint coatings to oil-water separation membranes and oil spill remediation. Despite its technological importance, the molecular mechanisms underpinning polymer-oil wetting are not well characterized. Here, we employ molecular dynamics simulations to investigate the behavior of n-hexadecane in contact with chemically distinct polymer surfaces, spanning eight constitutional unit chemistries as well as amorphous and crystalline morphologies. This permits a critical examination of both thermodynamic and dynamic descriptors of oleophobicity, including oil contact angle, dewetting free energy, interfacial diffusivity, and a proposed "ghost probe energy," which does not require explicit simulation of oil-polymer interactions. We find that the oil contact angle does not reliably distinguish oleophobic behavior across polymer chemistries, whereas other metrics provide clearer and more consistent differentiation. Analysis of the results reveals that polymer-oil wetting behavior is primarily governed by interfacial van der Waals interactions and modulated by surface flexibility and morphology. Collectively, this work establishes a computational framework for characterizing oil wetting and provides additional insight into what molecular-level factors dictate trends in oleophobicity.

Identifiers

PMID42534719
PMCPMC13421959

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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.