Evidence map›Paper›PMID 37020617›Full record

ArticleGlobal challenges (Hoboken, NJ)2023

Solid-State Far-Ultraviolet C Light Sources for the Disinfection of Pathogenic Microorganisms Using Graphene Nanostructure Field Emitters.

Yoichiro Neo, Gai Hashimoto, Rei Koike, Takashi Ohhara, Takahiro Matsumoto

Open access · goldAbstract read
In one paragraph

Article in Global challenges (Hoboken, NJ), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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 2 institutions in 1 country.

Yoichiro NeoResearch Institute of Electronics Shizuoka University Hamamatsu 432-8011 Japan.
Gai HashimotoResearch Institute of Electronics Shizuoka University Hamamatsu 432-8011 Japan.
Rei KoikeResearch Institute of Electronics Shizuoka University Hamamatsu 432-8011 Japan.
Takashi OhharaNeutron Science Section J-PARC Center Japan Atomic Energy Agency Ibaraki 319-1195 Japan.
Takahiro MatsumotoResearch Institute of Electronics Shizuoka University Hamamatsu 432-8011 Japan.ORCID https://orcid.org/0000-0002-8099-8928
Shizuoka University · JPJapan Atomic Energy Agency · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ongoing global outbreak of coronavirus disease has necessitated the use of ultraviolet (UV) disinfection techniques to reduce viral transmission in public places. The previously used UV wavelength is harmful to the human body, the wavelength range from 200 to 235 nm, often referred to as far-UVC light, has attracted attention as a novel disinfection wavelength range that can be used in a safe manner. However, the currently used light sources have practical problems, such as an expensive cost, a low efficiency, and short lifetimes. Therefore, environmentally friendly solid-state light sources with a lower cost, higher efficiency, and longer lifetimes are demanded. Here, an efficient mercury-free far-UVC solid-state light source is presented. This light source demonstrates intense 230 nm emission with a narrow spectral width of 30 nm and a long lifetime of more than 1000 h. These characteristics can be achieved by graphene nanostructure field emitters and wide-bandgap magnesium aluminate phosphors. By using this light source, the efficient disinfection of

Indexed as

cathodoluminescencedisinfectionEscherichia colifar ultravioletfield emissiongraphene

Identifiers

PMID37020617
PMCPMC10069303
OpenAlexW4323317783

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.