Evidence map›Paper›PMID 33014512›Full record

ArticleBio-design and manufacturing2021

A novel reusable anti-COVID-19 transparent face respirator with optimized airflow.

Hussain Alenezi, Muhammet Emin Cam, Mohan Edirisinghe

Abstract read
In one paragraph

Article in Bio-design and manufacturing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Electrocharging face masks with corona discharge treatment.Proceedings. Mathematical, physical, and engineering sciences · 2021
    Article
  13. Article
  14. Article
  15. Surface interactions and viability of coronaviruses.Journal of the Royal Society, Interface · 2021
    Review
  16. 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.

Hussain AleneziDepartment of Mechanical Engineering, University College London, Torrington Place, London, WC1E 7JE UK.
Muhammet Emin CamDepartment of Mechanical Engineering, University College London, Torrington Place, London, WC1E 7JE UK.
Mohan EdirisingheDepartment of Mechanical Engineering, University College London, Torrington Place, London, WC1E 7JE UK.ORCID 0000-0001-8258-7914

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This novel face mask is designed to be a reusable respirator with a small and highly efficient disposable fabric filter. Respirator material requirements are reduced by 75% compared to traditional designs and allow repeated cleaning or sterilization. The probability of virus particle inhalation is reduced using novel air filtration pathways, through square-waveform design to increase filter airflow. Air enters the mask from right and left side filters, while the area in front of the mouth is isolated. Clear epoxy is used for a transparent frame, allowing lip-reading, and mask edges contain a silicone seal preventing bypass of the filters. The mask is manufactured using silicone molds, eliminating electricity requirements making it economical and viable in developing countries. Computational fluid dynamics numerical studies and Fluent ANSYS software were used to simulate airflow through the filter to optimize filter air path geometry and validate mask design with realistic human requirements. The breathing cycle was represented as a transient function, and N95 filter specifications were selected as a porous medium. The novel design achieved 1.2 × 10

Indexed as

COVID-19FlowMaskPressurePrototypeTemperature

Identifiers

PMID33014512
PMCPMC7520078

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.