Evidence map›Paper›PMID 35891888›Full record

ArticleJournal of aerosol science2022

Droplet size distribution, atomization mechanism and dynamics of dental aerosols.

Emine Kayahan, Min Wu, Tom Van Gerven, Leen Braeken, Lambert Stijven, Constantinus Politis, M Enis Leblebici

Open access · greenAbstract read
In one paragraph

Article in Journal of aerosol science, 2022. 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
3.8field-weighted citation impact, top 7% 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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 1 country.

Emine KayahanCenter for Industrial Process Technology, Department of Chemical Engineering, KU Leuven, Agoralaan Building B, 3590, Diepenbeek, Belgium.
Min WuCenter for Industrial Process Technology, Department of Chemical Engineering, KU Leuven, Agoralaan Building B, 3590, Diepenbeek, Belgium.
Tom Van GervenProcess Engineering for Sustainable Systems, Department of Chemical Engineering, KU Leuven, Celestijnenlaan 200F, B-3001 Heverlee, Belgium.
Leen BraekenCenter for Industrial Process Technology, Department of Chemical Engineering, KU Leuven, Agoralaan Building B, 3590, Diepenbeek, Belgium.
Lambert StijvenOMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, University of Leuven, Oral & Maxillofacial Surgery, University Hospitals Leuven, Leuven, Belgium.
Constantinus PolitisOMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, University of Leuven, Oral & Maxillofacial Surgery, University Hospitals Leuven, Leuven, Belgium.
M Enis LeblebiciCenter for Industrial Process Technology, Department of Chemical Engineering, KU Leuven, Agoralaan Building B, 3590, Diepenbeek, Belgium.
Centre for Advanced Process Technology for Urban Resource Recovery · BEKU Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the outbreak of COVID-19 pandemic, maintaining safety in dental operations has challenged health care providers and policy makers. Studies on dental aerosols often focus on bacterial viability or particle size measurements inside dental offices during and after dental procedures, which limits their conclusions to specific cases. Fundamental understanding on atomization mechanism and dynamics of dental aerosols are needed while assessing the risks. Most dental instruments feature a build-in atomizer. Dental aerosols that are produced by ultrasonic or rotary atomization are considered to pose the highest risks. In this work, we aimed to characterize dental aerosols produced by both methods, namely by Mectron PIEZOSURGERY® and KaVo EXPERTtorque™. Droplet size distributions and velocities were measured with a high-speed camera and a rail system. By fitting the data to probability density distributions and using empirical equations to predict droplet sizes, we were able to postulate the main factors that determine droplet sizes. Both dental instruments had wide size distributions including small droplets. Droplet size distribution changed based on operational parameters such as liquid flow rate or air pressure. With a larger fraction of small droplets, rotary atomization poses a higher risk. With the measured velocities reaching up to 5 m s

Indexed as

Airborne transmissionCOVID-19Dental aerosolsDental drillDroplet size distributionPIEZOSURGERY

Identifiers

PMID35891888
PMCPMC9304037
OpenAlexW4286702319

What OpenQuestion holds

Textmetadata
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.