Evidence map›Paper›PMID 37942030›Full record

ArticleBioMed research international2023

Antimicrobial Activity of Filtered Far-UVC Light (222 nm) against Different Pathogens.

Ana C Lorenzo-Leal, Wenxi Tam, Ata Kheyrandish, Madjid Mohseni, Horacio Bach

Abstract read
In one paragraph

Article in BioMed research international, 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
–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

9 citing papers in PubMed.

  1. Review
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  8. AgGels (Basel, Switzerland) · 2024
    Article
  9. 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

5 authors.

Ana C Lorenzo-LealFaculty of Medicine, Division of Infectious Diseases, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0002-2086-2412
Wenxi TamFaculty of Medicine, Division of Infectious Diseases, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0009-0008-6747-9913
Ata KheyrandishDepartment of Chemical and Biological Engineering, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0002-7734-3752
Madjid MohseniDepartment of Chemical and Biological Engineering, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0003-3899-7865
Horacio BachFaculty of Medicine, Division of Infectious Diseases, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0002-7740-9299

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultraviolet (UV) light is an effective disinfection technology, able to inactivate a wide range of microorganisms, including bacteria and fungi. A safer UV wavelength of 222 nm, also known as far-UVC, has been proposed to minimize these harmful effects while retaining the light's disinfection capability. This study is aimed at exploring the antimicrobial activity of filtered far-UVC (222 nm) on a panel of pathogens commonly found in nosocomial installations. A panel of Gram-positive and Gram-negative bacteria and yeast pathogens was tested. Microorganisms were deposited on a plastic surface, allowing them to dry before exposure to the far-UVC light at a distance of 50 cm. Results showed that far-UVC light successfully inhibits the growth of the tested pathogens, although at different exposure times. In conclusion, the results of this study provide fundamental information to achieve reliable disinfection performance with far-UVC lamps with potential applications in healthcare facilities like hospitals and long-term care homes.

Indexed as

Anti-Bacterial AgentsGram-Negative BacteriaDisinfectionFungiGram-Positive BacteriaUltraviolet RaysAnti-Bacterial Agents

Identifiers

PMID37942030
PMCPMC10630020

What OpenQuestion holds

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LicenceCC BY
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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.