Evidence map›Paper›PMID 37760704›Full record

ArticleAntibiotics (Basel, Switzerland)2023

Antimicrobial Peptide Conjugated on Graphene Oxide-Containing Sulfonated Polyetheretherketone Substrate for Effective Antibacterial Activities against

Selvaraj Rajesh Kumar, Chih-Chien Hu, Truong Thi Tuong Vi, Dave W Chen, Shingjiang Jessie Lue

Open access · goldAbstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Selvaraj Rajesh KumarDepartment of Chemical and Materials Engineering, Chang Gung University, Taoyuan City 333, Taiwan.ORCID 0000-0003-0822-7843
Chih-Chien HuDepartment of Orthopedics, Chang Gung Memorial Hospital, Linkou, Taoyuan City 333, Taiwan.ORCID 0000-0002-4209-7977
Truong Thi Tuong ViDepartment of Chemical and Materials Engineering, Chang Gung University, Taoyuan City 333, Taiwan.
Dave W ChenDepartment of Orthopedic Surgery, Chang Gung Memorial Hospital, Keelung City 204, Taiwan.
Shingjiang Jessie LueDepartment of Chemical and Materials Engineering, Chang Gung University, Taoyuan City 333, Taiwan.ORCID 0000-0003-1950-8093
Chang Gung Memorial Hospital · TWChang Gung University · TWMing Chi University of Technology · TW

Funding

National Science and Technology Council of Taiwan MOST 111-2314-B-182A-092-MY3National Science and Technology Council of Taiwan MOST 111-2811-E-182-034-MY3
6 · The paper itself

Abstract

In the present study, the antimicrobial peptide nisin was successfully conjugated onto the surface of sulfonated polyetheretherketone (SPEEK), which was decorated with graphene oxide (GO) to investigate its biofilm resistance and antibacterial properties. The PEEK was activated with sulfuric acid, resulting in a porous structure. The GO deposition fully covered the porous SPEEK specimen. The nisin conjugation was accomplished using the crosslinker 1-ethyl-3-(3-dimethylaminopropyl)carbodiimide (EDC) through a dip-coating method. The surface micrographs of the SPEEK-GO-nisin sample indicated that nisin formed discrete islets on the flat GO surface, allowing both the GO and nisin to perform a bactericidal effect. The developed materials were tested for bactericidal efficacy against

Indexed as

antibacterial efficiencyantimicrobial peptidebiofilm resistanceimplant surface modificationnisin islets

Identifiers

PMID37760704
PMCPMC10525520
OpenAlexW4386465382

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.