Evidence map›Paper›PMID 36005076›Full record

ArticleGels (Basel, Switzerland)2022

Enhancing Mechanical Performance of a Polymer Material by Incorporating Pillar[5]arene-Based Host-Guest Interactions.

Chengdi Huang, Hanwei Zhang, Ziqing Hu, Youping Zhang, Xiaofan Ji

Abstract read
In one paragraph

Article in Gels (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Chengdi HuangSchool of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Hanwei ZhangSchool of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Ziqing HuSchool of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Youping ZhangSchool of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Xiaofan JiSchool of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.

Funding

Fundamental Research Funds for the Central Universities grant 2020kfyXJJS013National Natural Science Foundation of China No. 22001087Open Fund of Hubei Key Laboratory of Material Chemistry and Service Failure, Huazhong University of Science and Technology 2020MCF08Open Research Fund of Key Laboratory of Material Chemistry for Energy Conversion and Storage, Huazhong University of Science and Technology No. 2021JYBKF01
6 · The paper itself

Abstract

Polymer gels have been widely used in the field for tissue engineering, sensing, and drug delivery due to their excellent biocompatibility, hydrophilicity, and degradability. However, common polymer gels are easily deformed on account of their relatively weak mechanical properties, thereby hindering their application fields, as well as shortening their service life. The incorporation of reversible non-covalent bonds is capable of improving the mechanical properties of polymer gels. Thus, here, a poly(methyl methacrylate) polymer network was prepared by introducing host-guest interactions between pillar[5]arene and pyridine cation. Owing to the incorporated host-guest interactions, the modified polymer gels exhibited extraordinary mechanical properties according to the results of the tensile tests. In addition, the influence of the host-guest interaction on the mechanical properties of the gels was also proved by rheological experiments and swelling experiments.

Indexed as

host–guest interactionsmechanical performancepillar[5]arenepolymer gels

Identifiers

PMID36005076
PMCPMC9407059

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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.