Evidence map›Paper›PMID 36975632›Full record

ArticleGels (Basel, Switzerland)2023

Silver-Composited Polydopamine Nanoparticles: Antibacterial and Antioxidant Potential in Nanocomposite Hydrogels.

Geun-Jin Song, Yeon-Su Choi, Hee-Sook Hwang, Chung-Sung Lee

Open access · goldFull text read
In one paragraph

Article in Gels (Basel, Switzerland), 2023. 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
1.0field-weighted citation impact, top 30% of its field
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, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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

4 authors at 3 institutions in 2 countries.

Geun-Jin SongDepartment of Pharmaceutical Engineering and Biotechnology, Sun Moon University, Asan 31460, Republic of Korea.
Yeon-Su ChoiDepartment of Pharmaceutical Science, University of California, Irvine, CA 92697, USA.
Hee-Sook HwangDepartment of Pharmaceutical Engineering, Dankook University, Cheonan 31116, Republic of Korea.
Chung-Sung LeeDepartment of Pharmaceutical Engineering and Biotechnology, Sun Moon University, Asan 31460, Republic of Korea.
Sun Moon University · KRDankook University · KRUniversity of California, Irvine · US

Funding

Sun Moon University 2021
6 · The paper itself

Abstract

(1) Background: Infections of pathogenic microorganisms can be life-threatening due to delayed healing or even worsening conditions in tissue engineering and regenerative medicine. The excessive presence of reactive oxygen species in damaged and infected tissues causes a negative inflammatory response, resulting in failed healing. Thus, the development of hydrogels with antibacterial and antioxidant abilities for the treatment of infectious tissues is in high demand. (2) Methods: We herein describe the development of green-synthesized silver-composited polydopamine nanoparticles (AgNPs), which are fabricated by the self-assembly of dopamine as a reducing and antioxidant agent in the presence of silver ions. (3) Results: The facile and green-synthesized AgNPs have a nanoscale diameter with mostly spherical shapes, with various shapes coexisting. The particles are stable in an aqueous solution for up to 4 weeks. In addition, remarkable antibacterial activity against Gram-positive and -negative bacterial strains and antioxidant capabilities were evaluated by in vitro assays. When incorporated into biomaterial hydrogels at concentrations above 2 mg L

Indexed as

antibacterial activityantioxidant activitydopaminehydrogelsilver nanoparticle

Identifiers

PMID36975632
PMCPMC10048004
OpenAlexW4322504763

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read60
Read underepoch 390

Registered trials

None linked

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.