Evidence map›Paper›PMID 33807909›Full record

ReviewPolymers2021

Ultraviolet-C as a Viable Reprocessing Method for Disposable Masks and Filtering Facepiece Respirators.

Talita Nicolau, Núbio Gomes Filho, Andrea Zille

Abstract readReview
In one paragraph

Review in Polymers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Wind of change: Better air for microbial environmental control.Case studies in chemical and environmental engineering · 2022
    Article
  6. Article
  7. Article
  8. Device for Identifying the UV Emission Spectrum.Sensors (Basel, Switzerland) · 2022
    Article
  9. Article
  10. Review
  11. 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

3 authors.

Talita Nicolau2C2T-Centre for Textile Science and Technology, University of Minho, 4800-058 Guimarães, Portugal.ORCID 0000-0002-5451-8003
Núbio Gomes FilhoSchool of Economics and Management, University of Minho, 4710-57 Braga, Portugal.ORCID 0000-0002-9118-4268
Andrea Zille2C2T-Centre for Textile Science and Technology, University of Minho, 4800-058 Guimarães, Portugal.ORCID 0000-0001-5299-4164

Funding

Fundação para a Ciência e a Tecnologia PTDC/CTM-TEX/28295/2017
6 · The paper itself

Abstract

In normal conditions, discarding single-use personal protective equipment after use is the rule for its users due to the possibility of being infected, particularly for masks and filtering facepiece respirators. When the demand for these protective tools is not satisfied by the companies supplying them, a scenario of shortages occurs, and new strategies must arise. One possible approach regards the disinfection of these pieces of equipment, but there are multiple methods. Analyzing these methods, Ultraviolet-C (UV-C) becomes an exciting option, given its germicidal capability. This paper aims to describe the state-of-the-art for UV-C sterilization in masks and filtering facepiece respirators. To achieve this goal, we adopted a systematic literature review in multiple databases added to a snowball method to make our sample as robust as possible and encompass a more significant number of studies. We found that UV-C's germicidal capability is just as good as other sterilization methods. Combining this characteristic with other advantages makes UV-C sterilization desirable compared to other methods, despite its possible disadvantages.

Indexed as

absorption effectadditional advantagesfiltering facepiece respiratorsfiltration powergermicidal capabilityshadowingsterilizationsurgical masksthermal deformationultraviolet-C

Identifiers

PMID33807909
PMCPMC7961913

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.