• Treffer 2 von 3
Zurück zur Trefferliste

The Spread of Exhaled Air and Aerosols during Physical Exercise

  • Physical exercise demonstrates a special case of aerosol emission due to its associated elevated breathing rate. This can lead to a faster spread of airborne viruses and respiratory diseases. Therefore, this study investigates cross-infection risk during training. Twelve human subjects exercised on a cycle ergometer under three mask scenarios: no mask, surgical mask, and FFP2 mask. The emittedPhysical exercise demonstrates a special case of aerosol emission due to its associated elevated breathing rate. This can lead to a faster spread of airborne viruses and respiratory diseases. Therefore, this study investigates cross-infection risk during training. Twelve human subjects exercised on a cycle ergometer under three mask scenarios: no mask, surgical mask, and FFP2 mask. The emitted aerosols were measured in a grey room with a measurement setup equipped with an optical particle sensor. The spread of expired air was qualitatively and quantitatively assessed using schlieren imaging. Moreover, user satisfaction surveys were conducted to evaluate the comfort of wearing face masks during training. The results indicated that both surgical and FFP2 masks significantly reduced particles emission with a reduction efficiency of 87.1% and 91.3% of all particle sizes, respectively. However, compared to surgical masks, FFP2 masks provided a nearly tenfold greater reduction of the particle size range with long residence time in the air (0.3–0.5 μm). Furthermore, the investigated masks reduced exhalation spreading distances to less than 0.15 m and 0.1 m in the case of the surgical mask and FFP2 mask, respectively. User satisfaction solely differed with respect to perceived dyspnea between no mask and FFP2 mask conditions.zeige mehrzeige weniger

Volltext Dateien herunterladen

  • Gefördert durch das Programm Open-Access-Publikationskosten der DFG und den Publikationsfonds der Bauhaus-Universität Weimar.

Metadaten exportieren

Metadaten
Dokumentart:Artikel (Wissenschaftlicher)
Verfasserangaben: Hayder AlsaadORCiDGND, Gereon SchälteORCiDGND, Mario Schneeweiß, Lia Becher, Moritz Pollack, Amayu Wakoya GenaORCiD, Marcel SchweikerORCiDGND, Maria HartmannORCiD, Conrad VoelkerORCiDGND, Rolf RossaintGND, Matthias Irrgang
DOI (Zitierlink):https://doi.org/10.3390/jcm12041300Zitierlink
URN (Zitierlink):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20230208-49262Zitierlink
URL:https://www.mdpi.com/2077-0383/12/4/1300
Titel des übergeordneten Werkes (Deutsch):Journal of Clinical Medicine
Verlag:Basel
Verlagsort:MDPI
Sprache:Englisch
Datum der Veröffentlichung (online):06.02.2023
Datum der Erstveröffentlichung:06.02.2023
Datum der Freischaltung:08.02.2023
Veröffentlichende Institution:Bauhaus-Universität Weimar
Institute und Partnereinrichtugen:Fakultät Bauingenieurwesen / Professur Bauphysik
Jahrgang:2023
Ausgabe / Heft:Volume 12, issue 4, article 1300
Seitenzahl:20
Freies Schlagwort / Tag:OA-Publikationsfonds2023
cycle ergometer; particles concentration; schlieren imaging; sport; training
GND-Schlagwort:Sport; Training; Fahrradergometer
DDC-Klassifikation:600 Technik, Medizin, angewandte Wissenschaften / 610 Medizin und Gesundheit / 614 Inzidenz und Prävention von Krankheiten
BKL-Klassifikation:44 Medizin / 44.12 Arbeitsmedizin, betriebliches Gesundheitswesen
Open Access Publikationsfonds:Open-Access-Publikationsfonds 2023
Lizenz (Deutsch):License Logo Creative Commons 4.0 - Namensnennung (CC BY 4.0)