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2 November 2022 Conceptual design for an ultra-sensitive bioaerosol detection system
Julian Soltau, Arne Walter, Lea Fellner, Marian Kraus, Karin Grünewald, Frank Duschek
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Proceedings Volume 12272, Electro-Optical Remote Sensing XVI; 122720K (2022) https://doi.org/10.1117/12.2636223
Event: SPIE Security + Defence, 2022, Berlin, Germany
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Abstract
The detection of aerosols in general and bioaerosols more specific has gained an increased importance in multiple fields. While environmental scientists are increasingly interested in the impacts of aerosols onto climatic effects, researchers in the security sector are looking for ways to remotely detect dangerous substances from safe distances. Additionally, due to the Corona pandemic, the detection of bioaerosols has gained significant relevance in sectors like public health, transportation, and aviation. As a result, more accurate, i.e. sensitive and specific, measurement equipment is needed. Here we present the design concept for a new sensor system designed to measure thin bioaerosol clouds. For the detection air samples are excited with laser light to generate a signal based on laser induced fluorescence. The fluorescence is collected in an integration sphere to optimize signal. Inside the integration sphere multiple sensors are placed, each combined with a filter to exclude all signals not belonging to a certain, agent specific wavelength interval. Through the intelligent combination of spectral intervals, a specific characteristic of the studied air sample is measured. Based on the measured characteristic a classification is performed to determine the category of the sample. Development aims at testing indoor air quality in real time.
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Julian Soltau, Arne Walter, Lea Fellner, Marian Kraus, Karin Grünewald, and Frank Duschek "Conceptual design for an ultra-sensitive bioaerosol detection system", Proc. SPIE 12272, Electro-Optical Remote Sensing XVI, 122720K (2 November 2022); https://doi.org/10.1117/12.2636223
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KEYWORDS
Signal detection
Aerosols
Sensors
Luminescence
Laser induced fluorescence
Signal processing
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