Evidence map›Paper›PMID 34646586›Full record

ArticleAIP advances2021

Development of a rapid plasma decontamination system for decontamination and reuse of filtering facepiece respirators.

Minkwan Kim, John Lawson, Rodolphe Hervé, Henrike Jakob, Bharathram Ganapathisubramani, Charles W Keevil

Abstract read
In one paragraph

Article in AIP advances, 2021. 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. Mask disinfection using atmospheric pressure cold plasma.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
  2. Article
  3. 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

6 authors.

Minkwan KimAeronautics and Astronautics Engineering Department, University of Southampton, Southampton SO16 7QF, United Kingdom.ORCID 0000-0002-6192-312X
John LawsonAeronautics and Astronautics Engineering Department, University of Southampton, Southampton SO16 7QF, United Kingdom.ORCID 0000-0003-3260-3538
Rodolphe HervéSchool of Biological Sciences, University of Southampton, Southampton SO17 1BJ, United Kingdom.ORCID 0000-0001-8838-6515
Henrike JakobAeronautics and Astronautics Engineering Department, University of Southampton, Southampton SO16 7QF, United Kingdom.ORCID 0000-0002-6035-2150
Bharathram GanapathisubramaniAeronautics and Astronautics Engineering Department, University of Southampton, Southampton SO16 7QF, United Kingdom.ORCID 0000-0001-9817-0486
Charles W KeevilSchool of Biological Sciences, University of Southampton, Southampton SO17 1BJ, United Kingdom.ORCID 0000-0003-1917-7706

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has caused a high demand for filtering facepiece respirators (FFRs), which has brought global challenges in sustaining the supply chain for FFRs. Because respirators are basic personal protective equipment to protect frontline healthcare workers against COVID-19, the chronic, global shortage of N95/N99 masks is one of the most urgent threats to our collective ability to save lives from the coronavirus. The reuse of masks may need to be considered as a crisis capacity strategy to ensure continued availability even though most of the masks are considered one-time use. Moreover, environmentalists warn that single-use masks add to the glut of plastic pollution, threatening the health of oceans and marine life. In this study, we develop a method to decontaminate respirators to reuse filtering facepiece respirators. Samples of SARS-CoV-2 are applied to the 4 × 4 cm

Identifiers

PMID34646586
PMCPMC8501973

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.