Real-time analysis and classification of bioaerosols based on optical scattering properties
Journal Title: Bulletin of the Military University of Technology - Year 2017, Vol 66, Issue 1
Abstract
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)
Authors and Affiliations
Miron Kaliszewski, Elżbieta Anna Trafny, Maksymilian Włodarski, Rafał Lewandowski, Małgorzata Stępińska, Mirosław Kwaśny, Jerzy Kostecki, Krzysztof Kopczyński
Keywords
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- EP ID EP189006
- DOI 10.5604/01.3001.0009.9475
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