Evidence map›Paper›PMID 36890693›Full record

ArticleACS applied materials & interfaces2023

Disintegration and Machine-Learning-Assisted Identification of Bacteria on Antimicrobial and Plasmonic Ag-Cu

Furkan Sahin, Ali Camdal, Gamze Demirel Sahin, Ahmet Ceylan, Mahmut Ruzi, Mustafa Serdar Onses

Open access · hybridAbstract read
In one paragraph

Article in ACS applied materials & interfaces, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 36 citations in OpenAlex.

  1. Advances in methods for rapid detection of Staphylococcus aureus and methicillin-resistant S. aureus.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025
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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

6 authors at 4 institutions in 2 countries.

Furkan SahinERNAM─Erciyes University Nanotechnology Application and Research Center, Kayseri 38039, Turkey.
Ali CamdalDepartment of Electronic Engineering, Trinity College Dublin, Dublin 2 College Green, Dublin 2, Ireland.ORCID 0000-0002-0156-8664
Gamze Demirel SahinDepartment of Biomedical Engineering, Yildiz Technical University, Istanbul 34220, Turkey.
Ahmet CeylanFaculty of Pharmacy, Erciyes University, Kayseri 38039, Turkey.
Mahmut RuziERNAM─Erciyes University Nanotechnology Application and Research Center, Kayseri 38039, Turkey.ORCID 0000-0003-1945-0418
Mustafa Serdar OnsesERNAM─Erciyes University Nanotechnology Application and Research Center, Kayseri 38039, Turkey.ORCID 0000-0001-6898-7700
Erciyes University · TRBilkent University · TRTrinity College Dublin · IEYıldız Technical University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteria cause many common infections and are the culprit of many outbreaks throughout history that have led to the loss of millions of lives. Contamination of inanimate surfaces in clinics, the food chain, and the environment poses a significant threat to humanity, with the increase in antimicrobial resistance exacerbating the issue. Two key strategies to address this issue are antibacterial coatings and effective detection of bacterial contamination. In this study, we present the formation of antimicrobial and plasmonic surfaces based on Ag-Cu

Indexed as

Anti-Infective AgentsMetal NanoparticlesNanostructuresAnti-Bacterial AgentsBacteriaSilverSpectrum Analysis, RamanAnti-Bacterial AgentsAnti-Infective AgentsSilverantibacterialbacteria detectionbacteria identificationcopper oxide nanoparticlesmachine learningSERSsilver nanoparticles

Identifiers

PMID36890693
PMCPMC9999350
OpenAlexW4321497199

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.