Evidence map›Paper›PMID 40860254›Full record

ArticleThe journal of physical chemistry. C, Nanomaterials and interfaces2025

Engineering Nanoparticle Surface Amphiphilicity: An Integrated Computational and Laser Desorption Ionization Study of Controlled Ligand Self-Assembly.

Jacob Kennedy, Zachary LaFaver, Marcus Dupart, Kateri H DuBay, David L Green

Abstract read
In one paragraph

Article in The journal of physical chemistry. C, Nanomaterials and interfaces, 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

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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

5 authors.

Jacob KennedyDepartment of Chemical Engineering, University of Virginia, Charlottesville, Virginia 22903, United States.
Zachary LaFaverDepartment of Chemistry, University of Virginia, Charlottesville, Virginia 22903, United States.
Marcus DupartDepartment of Chemical Engineering, University of Virginia, Charlottesville, Virginia 22903, United States.
Kateri H DuBayDepartment of Chemistry, University of Virginia, Charlottesville, Virginia 22903, United States.ORCID https://orcid.org/0000-0003-3388-1521
David L GreenDepartment of Chemical Engineering, University of Virginia, Charlottesville, Virginia 22903, United States.ORCID https://orcid.org/0000-0002-5655-1093

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiligand monolayers can self-organize into advantageous interfacial patterns that govern nanoparticle (NP) properties. Polyethylene glycol (PEG) is widely incorporated into self-assembled monolayers to enhance biocompatibility, particularly in drug delivery applications. Previous studies demonstrate that monolayer phase separation can be controlled by leveraging the energetic and entropic driving forces acting on ligands in the design of amphiphilic surfaces. In this work, we extend an integrated experimental and simulation framework to investigate the self-assembly of dodecanethiol (DDT), a long hydrophobic alkanethiol, with 2-ethoxyethane-1-thiol, a short hydrophilic PEG-thiol, as a function of their surface composition on ultrasmall gold NPs. The PEG-DDT Au NPs were synthesized via ligand exchange. Integrated MALDI-MS experiments and configurationally biased Monte Carlo simulations were used to analyze and predict the local ordering of the surface ligands. The MALDI-MS fragment distributions obtained from experiment and simulation show quantitative agreement, and both indicate that the PEG-DDT ligands undergo phase separation, resulting in NP monolayers with patchy to Janus-like hydrophilic and hydrophobic ligand domains. Further, the domain size was found to increase proportionally with the surface fraction of each ligand, thereby demonstrating the ability to tune patch sizes in amphiphilic monolayers by controlling the surface composition.

Identifiers

PMID40860254
PMCPMC12376114

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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.