Evidence map›Paper›PMID 36970099›Full record

ArticleChemical science2023

Fine-tuning of the size of supramolecular nanotoroids suppresses the subsequent catenation of nano-[2]catenane.

Hiroki Itabashi, Sougata Datta, Ryohei Tsukuda, Martin J Hollamby, Shiki Yagai

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Article in Chemical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Controlling the Hierarchical Assembly of DNA-Based Hexagonal Microstructures.Small (Weinheim an der Bergstrasse, Germany) · 2025
    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.

Hiroki ItabashiDivision of Advanced Science and Engineering, Graduate School of Science and Engineering, Chiba University 1-33 Yayoi-cho, Inage-ku Chiba 263-8522 Japan.
Sougata DattaInstitute for Advanced Academic Research (IAAR), Chiba University 1-33 Yayoi-cho, Inage-ku Chiba 263-8522 Japan yagai@faculty.chiba-u.jp.ORCID https://orcid.org/0000-0003-2237-0857
Ryohei TsukudaDivision of Advanced Science and Engineering, Graduate School of Science and Engineering, Chiba University 1-33 Yayoi-cho, Inage-ku Chiba 263-8522 Japan.
Martin J HollambyDepartment of Chemistry, School of Chemical and Physical Sciences, Keele University Keele, Staffordsgire ST55BG UK.ORCID https://orcid.org/0000-0002-6775-3539
Shiki YagaiInstitute for Advanced Academic Research (IAAR), Chiba University 1-33 Yayoi-cho, Inage-ku Chiba 263-8522 Japan yagai@faculty.chiba-u.jp.ORCID https://orcid.org/0000-0002-4786-8603

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A judicious combination of ring-closing supramolecular polymerization and secondary nucleation can hierarchically organize a diphenylnaphthalene barbiturate monomer bearing a 3,4,5-tri(dodecyloxy)benzyloxy unit into self-assembled nano-polycatenanes composed of nanotoroids. In our previous study, nano-polycatenanes of variable length have been formed uncontrollably from the monomer that provides nanotoroids with sufficiently wide inner void space wherein secondary nucleation is driven by non-specific solvophobic interaction. In this study, we found that the elongation of the alkyl chain length of the barbiturate monomer decreases the inner void space of nanotoroids while increasing the frequency of secondary nucleation. These two effects resulted in an increase in the yield of nano-[2]catenane. This unique property observed in our self-assembled nanocatenanes might be extended to a controlled synthesis of covalent polycatenanes using non-specific interactions.

Identifiers

PMID36970099
PMCPMC10034040

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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.