Evidence map›Paper›PMID 36057726›Full record

ArticleNature communications2022

Self-sorting in macroscopic supramolecular self-assembly via additive effects of capillary and magnetic forces.

Minghui Tan, Pan Tian, Qian Zhang, Guiqiang Zhu, Yuchen Liu, Mengjiao Cheng, Feng Shi

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

7 authors.

Minghui TanState Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing, 100029, China.ORCID 0000-0001-9363-7200
Pan TianState Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing, 100029, China.ORCID 0000-0002-0195-6122
Qian ZhangBeijing Laboratory of Biomedical Materials, Beijing University of Chemical Technology, Beijing, 100029, China.ORCID 0000-0002-7225-7791
Guiqiang ZhuBeijing Laboratory of Biomedical Materials, Beijing University of Chemical Technology, Beijing, 100029, China.ORCID 0000-0001-9823-1779
Yuchen LiuBeijing Advanced Innovation Centre for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China.ORCID 0000-0002-5206-7608
Mengjiao ChengState Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing, 100029, China. chengmj@mail.buct.edu.cn.ORCID 0000-0002-1137-3545
Feng ShiState Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing, 100029, China. shi@mail.buct.edu.cn.ORCID 0000-0001-5897-5116

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Supramolecular self-assembly of μm-to-mm sized components is essential to construct complex supramolecular systems. However, the selective assembly to form designated structures at this length scale is challenging because the short-ranged molecular recognition could hardly direct the assembly of macroscopic components. Here we demonstrate a self-sorting mechanism to automatically identify the surface chemistry of μm-to-mm components (A: polycations; B: polyanions) based on the A-B attraction and the A-A repulsion, which is realized by the additivity and the competence between long-ranged magnetic/capillary forces, respectively. Mechanistic studies of the correlation between the magnetic/capillary forces and the interactive distance have revealed the energy landscape of each assembly pattern to support the self-sorting results. By applying this mechanism, the assembly yield of ABA trimers has been increased from 30%~40% under conventional conditions to 100% with self-sorting. Moreover, we have demonstrated rapid and spontaneous self-assembly of advanced chain-like structures with alternate surface chemistry.

Indexed as

Magnetic PhenomenaPhysical Phenomena

Identifiers

PMID36057726
PMCPMC9440903

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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.