Evidence map›Paper›PMID 38580629›Full record

ArticleNature communications2024

Convoluted micellar morphological transitions driven by tailorable mesogenic ordering effect from discotic mesogen-containing block copolymer.

Huanzhi Yang, Yunjun Luo, Bixin Jin, Shumeng Chi, Xiaoyu Li

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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.

Huanzhi YangSchool of Materials Science and Engineering. Beijing Institute of Technology, 100081, Beijing, China.
Yunjun LuoSchool of Materials Science and Engineering. Beijing Institute of Technology, 100081, Beijing, China.
Bixin JinSchool of Materials Science and Engineering. Beijing Institute of Technology, 100081, Beijing, China. bixinjin@bit.edu.cn.
Shumeng ChiSchool of Materials Science and Engineering. Beijing Institute of Technology, 100081, Beijing, China.
Xiaoyu LiSchool of Materials Science and Engineering. Beijing Institute of Technology, 100081, Beijing, China. xiaoyuli@bit.edu.cn.ORCID http://orcid.org/0000-0002-1514-4512

Funding

China Postdoctoral Science Foundation 2021TQ0033National Natural Science Foundation of China (National Science Foundation of China) 51973019
6 · The paper itself

Abstract

Solution-state self-assemblies of block copolymers to form nanostructures are tremendously attractive for their tailorable morphologies and functionalities. While incorporating moieties with strong ordering effects may introduce highly orientational control over the molecular packing and dictate assembly behaviors, subtle and delicate driving forces can yield slower kinetics to reveal manifold metastable morphologies. Herein, we report the unusually convoluted self-assembly behaviors of a liquid crystalline block copolymer bearing triphenylene discotic mesogens. They undergo unusual multiple morphological transitions spontaneously, driven by their intrinsic subtle liquid crystalline ordering effect. Meanwhile, liquid crystalline orderedness can also be built very quickly by doping the mesogens with small-molecule dopants, and the morphological transitions are dramatically accelerated and various exotic micelles are produced. Surprisingly, with high doping levels, the self-assembly mechanism of this block copolymer is completely changed from intramolecular chain shuffling and rearrangement to nucleation-growth mode, based on which self-seeding experiments can be conducted to produce highly uniform fibrils.

Identifiers

PMID38580629
PMCPMC10997646

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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.