Real-time analysis and classification of bioaerosolsbased on optical scattering properties

The size and shape of biological particles are important parameters allowing discrimination between various species. We have studied several aerosols of biological origin such as pollens, bacterial spores and vegetative bacteria. All of them presented different morphology. Using optical size and... Ausführliche Beschreibung

1. Person: Miron Kaliszewski verfasserin
Weitere Personen: Elżbieta Anna Trafny verfasserin; Maksymilian Włodarski verfasserin; Rafał Lewandowski verfasserin; Małgorzata Stępińska verfasserin; Mirosław Kwaśny verfasserin; Jerzy Kostecki verfasserin; Krzysztof Kopczyński verfasserin
Quelle: In Biuletyn Wojskowej Akademii Technicznej (01.03.2017)
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Format: Online-Artikel
Sprache: English
Greek, Modern (1453- )
Veröffentlicht: 2017
Beschreibung: Online-Ressource
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  Creative Commons License Source: Directory of Open Access Journals (DOAJ).
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100 0 |a Miron Kaliszewski  |e verfasserin  |4 aut 
245 1 0 |a Real-time analysis and classification of bioaerosolsbased on optical scattering properties  |h Elektronische Ressource 
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520 |a The size and shape of biological particles are important parameters allowing discrimination between various species. We have studied several aerosols of biological origin such as pollens, bacterial spores and vegetative bacteria. All of them presented different morphology. Using optical size and shape analyser we found good correlation between light scattering properties and actual particle features determined by scanning electron and fluorescence microscopy. In this study, we demonstrated that HCA (Hierarchical Cluster Analysis) offers fast and continuous bioaerosol classification based on shape and size data matrices of aerosols. The HCA gives an unequivocal interpretation of particle size vs. asymmetry data. Therefore, it may provide high throughput and reliable screening and classification of bioaerosols using scattering characteristics. Keywords: bioaerosol classification, scattering, particle size and shape analysis, biological warfare agents’ detection, hierarchical cluster analysis (HCA) 
700 0 |a Elżbieta Anna Trafny  |e verfasserin  |4 aut 
700 0 |a Maksymilian Włodarski  |e verfasserin  |4 aut 
700 0 |a Rafał Lewandowski  |e verfasserin  |4 aut 
700 0 |a Małgorzata Stępińska  |e verfasserin  |4 aut 
700 0 |a Mirosław Kwaśny  |e verfasserin  |4 aut 
700 0 |a Jerzy Kostecki  |e verfasserin  |4 aut 
700 0 |a Krzysztof Kopczyński  |e verfasserin  |4 aut 
773 0 8 |i In  |t Biuletyn Wojskowej Akademii Technicznej  |g  (01.03.2017)  |w (DE-601)DOAJ000029130  |x 1234-5865 
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856 4 0 |u http://biuletynwat.pl/gicid/01.3001.0009.9475 
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952 |j 2017  |b 01  |c 03 

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