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EAC 2021 Preview

The European Aerosol Conference (EAC) is a highlight every year. As in previous years, we are part of the Aersosol community and are pleased to support this year’s conference as a bronze sponsor. This year we are particularly pleased because we are able to contribute three presentations with our scientific project partners. In this EAC 2021 preview you will find information on the individual contributions of our project partners. The following abstract summaries give a small foretaste of the presentations. We are looking forward to an exciting conference week with many new insights from the world of aerosols. At the same time, we are looking forward to interesting discussions and personal exchanges at our virtual exhibition stand.

Date: 30. August – 3. September 2021
Location: Virtual event (Birmingham)
Organisation: Aerosol Society, UK

Airborne spore measurement based on UV-induced fluorescence and digital holography from SwisensPoleno Jupiter

Session: AMT 12: Bioaerosol Characterization
Date: Friday, 3 September
Time: 09:30am – 09:45am
Presenting author: Simone Lionetti
Project partner: Lucerne University of Applied Science and Arts & Swisens

SwisensPoleno Jupiter is a novel real-time air flow cytometer which can identify airborne particles based on Gabor holography, autofluorescence spectra and lifetime measurements. SwisensPoleno was successfully used for the classification of pollen particles with sizes 10 to 100 μm thanks to deep-learning algorithms applied to holographic images. To achieve good results for smaller particles, however, the information from fluorescence measurements is essential. SwisensPoleno can excite each particle with 3 ultraviolet sources characterised by different wavelength and detect the corresponding emissions in up to 5 wavelength bands. In this contribution, we report on the first systematic attempt to classify particles with SwisensPoleno using relative fluorescence spectra. Moreover, we assess the benefit that derives from combining holographic imaging and fluorescence spectroscopy into a unified framework. To this end, we present two dedicated datasets with thousands of samples from several pollen and fungal spore species of interest.

Bioaerosol identification using digital holography and machine learning

Session: AMT 12: Bioaerosol Characterization
Date: Friday, 3 September
Time: 09:45am – 10:00am
Presenting author: Benoit Crouzy
Project partner: Federal Office of Meteorology and Climatology MeteoSwiss & Swisens

Bioaerosol monitoring networks have been established around the world following the explosion or the prevalence of respiratory allergies in the second half of the 20th century. Focus of operational monitoring networks is set on pollen and monitoring is usually performed by identification and counting the grains manually under the microscope. In recent years however, an automation of bioaerosol monitoring networks has been undertaken using various emerging techniques. While the typical low pollen concentrations allow for manual counting, fungal spore monitoring is much more challenging due to the sheer spore concentration and their variety. We present digital holography based result from a laboratory measurement campaign of fungal spores for the generation of data sets for machine learning algorithm development to extend the scope of an airflow cytometer (SwisensPoleno Jupiter). The SwisensPoleno Jupiter bases on digital holography and induced fluorescence to identify and count large bioaerosols in the range 0.5-300 micrometers. This instrument has recently be validated for the operational pollen monitoring.

Comparison of four methods for fungal bioaerosol generation with holography based single particle real time detection instrument

Session: AMT P3: New Instrumentation and Novel Measurement Principles
Date: Tuesday, 31. August
Time: 10:10am-11:10am
Presenting author: Carla-Elvira Pogner
Project partner: Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH
& Swisens

To study aerosols under controlled conditions, aerosol chambers and aerosol generators have been used for a long time. The method used by an aerosol generator can change the composition and properties of the aerosol generated. For bioaerosols the viability may be influenced. The properties of a bioaerosol may also influence other detection and enumeration methods, and play a role in the use of collected data for machine learning. Until now evaluation of the generated bioaerosol were focused on particle counting, evaluation of size and morphology or analysis of cultivatable units. With the SwisensPoleno Jupiter it is now possible to analyse the particles for their properties – size, shape, number and UV-induced autofluorescence – in real time. In this study we investigated the bioaerosol produced by four different aerosol generators using fungal spores from Aspergillus brasiliensis, Cladosporium clasosporioides and Trichoderma lngibrachiatum. After aerosol generation, the particle laden air was led to the SwisensPoleno Jupiter. For the measurements two instruments of the same type were used. For each combination of aerosol generator, fungal organism and sampling instrument, at least 6000 particles were measured.

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