Evidence map›Paper›PMID 38542846›Full record

ArticleMolecules (Basel, Switzerland)2024

Antibacterial Textile Coating Armoured with Aggregation-Induced Emission Photosensitisers to Prevent Healthcare-Associated Infections.

Resmarani Sahu, Neethu Ninan, Ngoc Huu Nguyen, Jianzhong Wang, Krasimir Vasilev, Vi Khanh Truong, Youhong Tang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. 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. Review
  2. Review
  3. 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.

Resmarani SahuCollege of Medicine and Public Health, Flinders University, Bedford Park, Adelaide, SA 5042, Australia.
Neethu NinanCollege of Medicine and Public Health, Flinders University, Bedford Park, Adelaide, SA 5042, Australia.ORCID 0000-0002-4469-5954
Ngoc Huu NguyenCollege of Medicine and Public Health, Flinders University, Bedford Park, Adelaide, SA 5042, Australia.
Jianzhong WangInstitute for NanoScale Science and Technology, Medical Device Research Institute, College of Science and Engineering, Flinders University, Bedford Park, Adelaide, SA 5042, Australia.
Krasimir VasilevCollege of Medicine and Public Health, Flinders University, Bedford Park, Adelaide, SA 5042, Australia.ORCID 0000-0003-3534-4754
Vi Khanh TruongCollege of Medicine and Public Health, Flinders University, Bedford Park, Adelaide, SA 5042, Australia.ORCID 0000-0002-6016-6438
Youhong TangInstitute for NanoScale Science and Technology, Medical Device Research Institute, College of Science and Engineering, Flinders University, Bedford Park, Adelaide, SA 5042, Australia.ORCID 0000-0003-2718-544X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the quest to curtail the spread of healthcare-associated infections, this work showcases the fabrication of a cutting-edge antibacterial textile coating armoured with aggregation-induced emission photosensitisers (AIE PS) to prevent bacterial colonisation on textiles. The adopted methodology includes a multi-step process using plasma polymerisation and subsequent integration of AIE PS on their surface. The antibacterial effectiveness of the coating was tested against

Indexed as

Cross InfectionStaphylococcal InfectionsAnti-Bacterial AgentsDelivery of Health CareHumansStaphylococcus aureusTextilesAnti-Bacterial Agentsaggregation-induced emission photosensitisersantibacterialhealthcare-associated infectionsplasma coatingtextile

Identifiers

PMID38542846
PMCPMC10975846

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.