Evidence map›Paper›PMID 34502431›Full record

ArticleInternational journal of molecular sciences2021

Antimicrobial Face Shield: Next Generation of Facial Protective Equipment against SARS-CoV-2 and Multidrug-Resistant Bacteria.

Alberto Tuñón-Molina, Miguel Martí, Yukiko Muramoto, Takeshi Noda, Kazuo Takayama, Ángel Serrano-Aroca

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Antimicrobial Materials with Medical Applications.International journal of molecular sciences · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. 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 at 2 institutions in 2 countries.

Alberto Tuñón-MolinaBiomaterials and Bioengineering Lab., Centro de Investigación Traslacional San Alberto Magno, Universidad Católica de Valencia San Vicente Mártir, c/Guillem de Castro 94, 46001 Valencia, Spain.ORCID 0000-0003-3819-7390
Miguel MartíBiomaterials and Bioengineering Lab., Centro de Investigación Traslacional San Alberto Magno, Universidad Católica de Valencia San Vicente Mártir, c/Guillem de Castro 94, 46001 Valencia, Spain.ORCID 0000-0002-1891-8368
Yukiko MuramotoLaboratory of Ultrastructural Virology, Institute for Frontier Life and Medical Sciences, Kyoto University, Kyoto 606-8507, Japan.ORCID 0000-0002-8706-3113
Takeshi NodaLaboratory of Ultrastructural Virology, Institute for Frontier Life and Medical Sciences, Kyoto University, Kyoto 606-8507, Japan.ORCID 0000-0002-0658-4663
Kazuo TakayamaCenter for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Japan.ORCID 0000-0002-1132-2457
Ángel Serrano-ArocaBiomaterials and Bioengineering Lab., Centro de Investigación Traslacional San Alberto Magno, Universidad Católica de Valencia San Vicente Mártir, c/Guillem de Castro 94, 46001 Valencia, Spain.ORCID 0000-0002-9953-3848
Kyoto University · JPValencia Catholic University Saint Vincent Martyr · ES

Funding

Fundación Universidad Católica de Valencia San Vicente Mártir 2020-231-006UCVJapan Agency for Medical Research and Development 20fk0108533h0001Ministerio de Ciencia e Innovación PID2020-119333RB-I00
6 · The paper itself

Abstract

Transparent materials used for facial protection equipment provide protection against microbial infections caused by viruses and bacteria, including multidrug-resistant strains. However, transparent materials used for this type of application are made of materials that do not possess antimicrobial activity. They just avoid direct contact between the person and the biological agent. Therefore, healthy people can become infected through contact of the contaminated material surfaces and this equipment constitute an increasing source of infectious biological waste. Furthermore, infected people can transmit microbial infections easily because the protective equipment do not inactivate the microbial load generated while breathing, sneezing or coughing. In this regard, the goal of this work consisted of fabricating a transparent face shield with intrinsic antimicrobial activity that could provide extra-protection against infectious agents and reduce the generation of infectious waste. Thus, a single-use transparent antimicrobial face shield composed of polyethylene terephthalate and an antimicrobial coating of benzalkonium chloride has been developed for the next generation of facial protective equipment. The antimicrobial coating was analyzed by atomic force microscopy and field emission scanning electron microscopy with elemental analysis. This is the first facial transparent protective material capable of inactivating enveloped viruses such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in less than one minute of contact, and the methicillin-resistant

Indexed as

Personal Protective EquipmentAnti-Infective AgentsBacteriophage phi 6Benzalkonium CompoundsCOVID-19Disk Diffusion Antimicrobial TestsDrug Resistance, Multiple, BacterialHumansMethicillin-Resistant Staphylococcus aureusPolyethylene TerephthalatesSARS-CoV-2Staphylococcus epidermidisAnti-Infective AgentsBenzalkonium CompoundsPolyethylene Terephthalatesbenzalkonium chlorideCOVID-19face shieldfacial protective equipmentMRSAMRSEmultidrug-resistant bacteriaphage phi 6polyethylene terephthalateSARS-CoV-2

Identifiers

PMID34502431
PMCPMC8431192
OpenAlexW3196700138

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.