Evidence map›Paper›PMID 40291000›Full record

ArticleACS omega2025

Study on the Self-assembly Behavior of Polycaprolactone Star-Shaped Copolymers Based on Dissipative Particle Dynamics.

Jiashu Pan, Haiming Wang, Zijun Liu, Dengbang Jiang, Mingwei Yuan

Abstract read
In one paragraph

Article in ACS omega, 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.

Jiashu PanGreen Preparation Technology of Biobased Materials National & Local joint Engineering Research Center, Yunnan Minzu University, Kunming 650500, China.ORCID https://orcid.org/0009-0009-1723-3226
Haiming WangAffiliated School of Kunming NSAU Research Institute, Kunming 650500, China.
Zijun LiuGreen Preparation Technology of Biobased Materials National & Local joint Engineering Research Center, Yunnan Minzu University, Kunming 650500, China.
Dengbang JiangGreen Preparation Technology of Biobased Materials National & Local joint Engineering Research Center, Yunnan Minzu University, Kunming 650500, China.ORCID https://orcid.org/0000-0001-6035-3981
Mingwei YuanGreen Preparation Technology of Biobased Materials National & Local joint Engineering Research Center, Yunnan Minzu University, Kunming 650500, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the pH-responsive self-assembly behavior of polycaprolactone star-shaped block copolymers in aqueous solution was systematically investigated by dissipative particle dynamics. The changes in morphology during the self-assembly process were studied by adjusting the number of polymer star arms, the degree of ionization of the terminal carboxylic acid group, and the concentration of the polymer in the solution. The results show that during the self-assembly process, the star-shaped copolymers undergo a series of structural transformations from spherical micelles to worm-like micelles and then to lamellar micelles as ionization and solution concentration change. When the degree of ionization is high, the electrostatic repulsion is enhanced, resulting in the formation of smaller spherical micelles; in contrast, when the degree of ionization is low, the electrostatic repulsion is weakened, resulting in the formation of larger and more complex worm-like or lamellar structures. With an increase in the number of arms, the self-assembly behavior of the system gradually transitions from complex morphologies (such as lamellar micelles and branched worm-like micelles) to simple morphologies (such as linear worm-like micelles and spherical micelles). This study provides important theoretical references and practical guidance for revealing the regulatory mechanisms of carboxyl ionization, the number of polymer star arms, and solution concentration on the self-assembly behavior of amphiphilic block copolymers.

Identifiers

PMID40291000
PMCPMC12019736

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LicenceCC BY-NC-ND
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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.