Evidence map›Paper›PMID 32939170›Full record

ArticleScience and technology of advanced materials2020

Structural reorganization and crack-healing properties of hydrogels based on dynamic diselenide linkages.

Hao Xu, Nao Suzuki, Akira Takahashi, Tomoyuki Ohishi, Raita Goseki, Xu-Ming Xie, Hideyuki Otsuka

Abstract read
In one paragraph

Article in Science and technology of advanced materials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Selenium in Peptide Chemistry.Molecules (Basel, Switzerland) · 2023
    Review
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.

Hao XuDepartment of Organic and Polymeric Materials, Tokyo Institute of Technology, Tokyo, Japan.
Nao SuzukiDepartment of Organic and Polymeric Materials, Tokyo Institute of Technology, Tokyo, Japan.
Akira TakahashiDepartment of Organic and Polymeric Materials, Tokyo Institute of Technology, Tokyo, Japan.
Tomoyuki OhishiDepartment of Organic and Polymeric Materials, Tokyo Institute of Technology, Tokyo, Japan.
Raita GosekiDepartment of Organic and Polymeric Materials, Tokyo Institute of Technology, Tokyo, Japan.
Xu-Ming XieKey Laboratory of Advanced Materials (MOE), Department of Chemical Engineering, Tsinghua University, Beijing, China.
Hideyuki OtsukaDepartment of Organic and Polymeric Materials, Tokyo Institute of Technology, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report the dynamic behavior of diselenide-containing hydrophilic polyurethanes and hydrogels based on diselenide exchange reactions in an aqueous media. Diselenide-containing linear and cross-linked polyurethanes were synthesized via polyaddition reactions using diselenide-containing diol in combination with pyridinium diol that enhances the hydrophilicity of the polymer chains. The obtained linear polyurethanes underwent photo-induced diselenide exchange reactions with small diselenide compounds and degraded to smaller fragments, confirming the dynamicity of the obtained hydrophilic polyurethanes. The prepared hydrogels displayed characteristic large swelling behavior based on the structural reorganization through diselenide exchange either under photo-irradiation at 365 nm or even in the dark at room temperature. The diselenide-containing hydrogels also showed crack-healing behavior under the same exchanging conditions, presenting the utility of diselenide linkages as simple and useful units to offer high dynamicity to hydrogels.

Indexed as

600 Self-healing materialsDiselenide bonddynamic covalent chemistryhydrogelself-healing

Identifiers

PMID32939170
PMCPMC7476519

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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.