Evidence map›Paper›PMID 36105565›Full record

ArticleBiomaterials translational2022

Antifouling and antimicrobial cobaltocenium-containing metallopolymer double-network hydrogels.

Hui Li, Peng Yang, JiHyeon Hwang, Parasmani Pageni, Alan W Decho, Chuanbing Tang

Abstract read
In one paragraph

Article in Biomaterials translational, 2022. 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. Review
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  5. 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

6 authors.

Hui LiDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, USA.
Peng YangDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, USA.
JiHyeon HwangDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, USA.
Parasmani PageniDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, USA.
Alan W DechoDepartment of Environmental Health Sciences, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Chuanbing TangDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, USA.

Funding

Metallopolymer and Antibiotic Bioconjugates against Multidrug Resistant BacteriaR01AI120987 · NIAID · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI TANG, CHUANBING · 2016 to 2019
$1.4M
NIAID NIH HHS R01 AI120987
6 · The paper itself

Abstract

Compared with single-network hydrogels, double-network hydrogels offer higher mechanical strength and toughness. Integrating useful functions into double-network hydrogels can expand the portfolios of the hydrogels. We report the preparation of double-network metallopolymer hydrogels with remarkable hydration, antifouling, and antimicrobial properties. These cationic hydrogels are composed of a first network of cationic cobaltocenium polyelectrolytes and a second network of polyacrylamide, all prepared via radical polymerization. Antibiotics were further installed into the hydrogels via ion-complexation with metal cations. These hydrogels exhibited significantly enhanced hydration, compared with polyacrylamide-based hydrogels, while featuring robust mechanical strength. Cationic metallopolymer hydrogels exhibited strong antifouling against oppositely charged proteins. These antibiotic-loaded hydrogels demonstrated a synergistic effect on the inhibition of bacterial growth and antifouling of bacteria, as a result of the unique ion complexation of cobaltocenium cations.

Indexed as

antimicrobialcobaltoceniumdouble network hydrogelmetallopolymer

Identifiers

PMID36105565
PMCPMC9465992

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.