ArticleScientific reports2026
Surface scan cold plasma technology for effective inhibition of Staphylococcus epidermidis and Escherichia coli.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- Cold microwave plasma jets for wound healing: antimicrobial efficacy, mechanisms and changes in microbial cells.Scientific reports · 2026Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study examines the decontamination efficacy of cold atmospheric plasma (CAP) against Staphylococcus epidermidis and Escherichia coli, with emphasis on surface scanning parameters and resistance potential. Bacterial cultures on solid nutrient media were treated using a non-thermal microwave plasma torch operated with high-purity argon (4.6) at 5 Slm and 12-13 W. Treatment was systematically varied in scanning direction, speed, and duration. Results indicate that exposure time was the main factor influencing bacterial inhibition, whereas direction and speed exerted only minor effects. E. coli exhibited greater susceptibility compared to S. epidermidis. Repeated exposure experiments revealed no evidence of resistance development.
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Registered trials
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.