Literature DB >> 32313583

Impact of Health on Particle Size of Exhaled Respiratory Aerosols: Case-control Study.

Guillaume Hersen1, Stéphane Moularat1, Enric Robine1,2,3, Evelyne Géhin2, Sandrine Corbet3, Astrid Vabret3, François Freymuth3.   

Abstract

Individuals with viral infection could possibly emit an infectious aerosol. The distinction between exhaled breaths of infected and healthy individuals should facilitate an understanding of the airborne transmission of infections. In this context, the present study is aimed at distinguishing healthy individuals from symptomatic ones by the study of their exhaled breath. A setup composed of a modified hood connected to an electrical low pressure impactor, which allows for the study of a wide range of particle sizes (from 7 nm to 10 μm), has been developed in order to collect exhaled breaths. This setup has been used with seventy eight volunteers. The results obtained using Principal Component Analysis (PCA) showed that exhaled breaths of individuals without symptoms have statistical similarities and are different from those of individuals with symptoms. This separation was made by the greater proportional emission by individuals with symptoms of particles collected on stages 3 (D 50 = 0.09 μm), 6 (D 50 = 0.38 μm), 8 (D 50 = 0.95 μm), 10 (D 50 = 2.40 μm), and 12 (D 50 = 4.02 μm) of the impactor. There was not a specific size distribution obtained for the individuals with symptoms. As a consequence, further research on the exhaled breath should be undertaken with symptomatic volunteers and would require the analysis of this wide range of particle sizes.
Copyright © 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Bioaerosol; Exhaled breath; Particle size; Principle Component Analysis; Virus

Year:  2008        PMID: 32313583      PMCID: PMC7162260          DOI: 10.1002/clen.200700189

Source DB:  PubMed          Journal:  Clean (Weinh)        ISSN: 1863-0650            Impact factor:   1.770


  20 in total

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Journal:  Ann N Y Acad Sci       Date:  1980       Impact factor: 5.691

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Journal:  Vet Microbiol       Date:  2004-04-19       Impact factor: 3.293

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9.  Development of three multiplex RT-PCR assays for the detection of 12 respiratory RNA viruses.

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Journal:  J Virol Methods       Date:  2005-06       Impact factor: 2.014

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Journal:  Vet Microbiol       Date:  1992-04       Impact factor: 3.293

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7.  Coupled discrete phase model and Eulerian wall film model for numerical simulation of respiratory droplet generation during coughing.

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Review 9.  A review on the applied techniques of exhaled airflow and droplets characterization.

Authors:  Khansa Mahjoub Mohammed Merghani; Benoit Sagot; Evelyne Gehin; Guillaume Da; Charles Motzkus
Journal:  Indoor Air       Date:  2020-12-28       Impact factor: 6.554

  9 in total

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