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)
Weitere Artikel
Format: Online-Artikel
Sprache: English
Greek, Modern (1453- )
Veröffentlicht: 2017
Beschreibung: Online-Ressource
Online Zugang: Online
Online
Online
Online
Online
Volltext
Tags: Hinzufügen
Keine Tags. Fügen Sie den ersten Tag hinzu!
  Creative Commons License Source: Directory of Open Access Journals (DOAJ).
Zusammenfassung: 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)
ISSN: 1234-5865

Ähnliche Einträge

Keine ähnlichen Titel gefunden

Privacy Notice Ask a Librarian New Acquisitions