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Article: Estimation of the aerodynamic sizes of single bacterium-laden expiratory aerosols using stochastic modeling with experimental validation

TitleEstimation of the aerodynamic sizes of single bacterium-laden expiratory aerosols using stochastic modeling with experimental validation
Authors
Issue Date2012
Citation
Aerosol Science and Technology, 2012, v. 46, n. 1, p. 1-12 How to Cite?
AbstractThe aerodynamic size of pathogen-laden expiratory aerosols plays an important role in their dispersion in air and deposition onto surfaces, both of which are related to the spread of infectious respiratory diseases. The size of bacterial cells is on a similar scale to the size of expiratory aerosols, but because some bacterial cells are nonspherical, bacterium-laden expiratory aerosols often have irregular shapes and highly variable aerodynamic sizes. An algorithm that can estimate their aerodynamic sizes is highly desirable in studying their physical transport and to assess the subsequent exposure level and infection risk. In this study, an algorithm based on stochastic modeling was developed to predict the distribution of the aerodynamic size of bacterium-laden expiratory aerosols. The applicability of the algorithm was tested experimentally by conducting biological air sampling using a multi-stage impactor in a test facility. The proposed algorithm was used to predict the size profile of simulated expiratory aerosols encasing a strain of benign rod-shaped bacterium. Simulated bacterium-laden expiratory aerosols were generated using a cough machine with a solution containing the bacteria. Air at three different positions was then sampled to obtain the size profile of bacterium-laden aerosols at each position. The results were compared to the prediction by the algorithm and by another method, which simply considers the evaporative shrinkage of the expiratory aerosols and neglects the inclusion of the pathogen. It was found that the prediction by the proposed algorithm generally matched the measured results much better than the method that neglects the inclusion of the bacterium. Limitations of the current algorithm and further research and development are also discussed in this article. 2011 07 31.
Persistent Identifierhttp://hdl.handle.net/10722/255904
ISSN
2015 Impact Factor: 1.953
2015 SCImago Journal Rankings: 1.922

 

DC FieldValueLanguage
dc.contributor.authorYang, Y.-
dc.contributor.authorSze-To, G. N.-
dc.contributor.authorChao, Christopher Y.H.-
dc.date.accessioned2018-07-16T06:14:01Z-
dc.date.available2018-07-16T06:14:01Z-
dc.date.issued2012-
dc.identifier.citationAerosol Science and Technology, 2012, v. 46, n. 1, p. 1-12-
dc.identifier.issn0278-6826-
dc.identifier.urihttp://hdl.handle.net/10722/255904-
dc.description.abstractThe aerodynamic size of pathogen-laden expiratory aerosols plays an important role in their dispersion in air and deposition onto surfaces, both of which are related to the spread of infectious respiratory diseases. The size of bacterial cells is on a similar scale to the size of expiratory aerosols, but because some bacterial cells are nonspherical, bacterium-laden expiratory aerosols often have irregular shapes and highly variable aerodynamic sizes. An algorithm that can estimate their aerodynamic sizes is highly desirable in studying their physical transport and to assess the subsequent exposure level and infection risk. In this study, an algorithm based on stochastic modeling was developed to predict the distribution of the aerodynamic size of bacterium-laden expiratory aerosols. The applicability of the algorithm was tested experimentally by conducting biological air sampling using a multi-stage impactor in a test facility. The proposed algorithm was used to predict the size profile of simulated expiratory aerosols encasing a strain of benign rod-shaped bacterium. Simulated bacterium-laden expiratory aerosols were generated using a cough machine with a solution containing the bacteria. Air at three different positions was then sampled to obtain the size profile of bacterium-laden aerosols at each position. The results were compared to the prediction by the algorithm and by another method, which simply considers the evaporative shrinkage of the expiratory aerosols and neglects the inclusion of the pathogen. It was found that the prediction by the proposed algorithm generally matched the measured results much better than the method that neglects the inclusion of the bacterium. Limitations of the current algorithm and further research and development are also discussed in this article. 2011 07 31.-
dc.languageeng-
dc.relation.ispartofAerosol Science and Technology-
dc.titleEstimation of the aerodynamic sizes of single bacterium-laden expiratory aerosols using stochastic modeling with experimental validation-
dc.typeArticle-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1080/02786826.2011.604108-
dc.identifier.scopuseid_2-s2.0-80052511486-
dc.identifier.volume46-
dc.identifier.issue1-
dc.identifier.spage1-
dc.identifier.epage12-
dc.identifier.eissn1521-7388-

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