Evidence map›Paper›PMID 39472702›Full record

ArticleScientific reports2024

Evaluation of the penetration capacity of bacteria through layers of different face mask types and wearing conditions.

Alice Kheng, Lara Leclerc, Martin Fayolle, Florence Grattard, Paul O Verhoeven, Jérémie Pourchez

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Alice KhengMines Saint-Etienne, Centre CIS, INSERM, U1059 Sainbiose, Université Jean Monnet, Université de Lyon, Saint-Etienne, 42023, France.
Lara LeclercMines Saint-Etienne, Centre CIS, INSERM, U1059 Sainbiose, Université Jean Monnet, Université de Lyon, Saint-Etienne, 42023, France.
Martin FayolleGIMAP team, INSERM U1111, CNRS UMR5308, ENS de Lyon, UCB Lyon 1, CIRI (Centre International de recherche en Infectiologie), University of St-Etienne, University of Lyon, St- Etienne, France.
Florence GrattardGIMAP team, INSERM U1111, CNRS UMR5308, ENS de Lyon, UCB Lyon 1, CIRI (Centre International de recherche en Infectiologie), University of St-Etienne, University of Lyon, St- Etienne, France.
Paul O VerhoevenGIMAP team, INSERM U1111, CNRS UMR5308, ENS de Lyon, UCB Lyon 1, CIRI (Centre International de recherche en Infectiologie), University of St-Etienne, University of Lyon, St- Etienne, France. paul.verhoeven@chu-st-etienne.fr.
Jérémie PourchezMines Saint-Etienne, Centre CIS, INSERM, U1059 Sainbiose, Université Jean Monnet, Université de Lyon, Saint-Etienne, 42023, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to quantify the number of non-airborne bacteria that can passively penetrate the layers of four mask types (surgical mask, community face mask type 1 (CFM1), biocidal CFM1 and CFM2) and to determine the influence of wearing conditions for the surgical type. A mask wearer simulator consisting of a 3D anatomical replica of the upper airway connected to a breathing pump was used. Wearing time, filtration quality of the mask, fit (loose vs. tight) and breathing parameters (tidal volume, respiratory rate) were tested. A Staphylococcus epidermidis inoculum was applied to the inner layer. After the wearing simulation, the layers were separated and the bacteria counted. After four hours, no or only a few bacteria were present in the middle and outer layers. Most remained in the inner layer. Surgical mask and CFM1 retained more bacteria and provided a breeding ground for germs. The biocidal CFM1 rapidly reduced the number in the inner layer. The breathing parameters had no influence, in contrast to fit and wearing time. These results confirm that the standard test for bacterial filtration efficiency, which includes the active penetration of airborne bacteria into aerosol droplets, is the most objective measure of the ability of bacteria to penetrate through the mask layers, as the passive penetration ability of non-airborne bacteria is insignificant.

Indexed as

MasksStaphylococcus epidermidisAir MicrobiologyBacteriaHumansBacterial loadBiocidal maskFace mask layersMask wearer simulatorNon-airborne bacteria passive penetrationWearing conditions

Identifiers

PMID39472702
PMCPMC11522403

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Registered trials

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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.