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Open AccessArticle

Inline Infrared Chemical Identification of Particulate Matter

The Netherlands Organisation for Applied Scientific Research, HTC25, 5656AE Eindhoven, The Netherlands
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Sensors 2020, 20(15), 4193; https://doi.org/10.3390/s20154193
Received: 25 June 2020 / Revised: 20 July 2020 / Accepted: 24 July 2020 / Published: 28 July 2020
(This article belongs to the Special Issue Sensors for Environmental and Life Science Applications)
The health and environmental effects of particulate matter (PM) in the air depend on several parameters. Besides particle size, shape, and concentration, the chemical nature of the PM is also of great importance. State-of-the-art PM sensors only detect the particle size and concentration. Small, low-cost sensors only identify PM according to PM2.5 and PM10 standards. Larger detectors measure the complete particle size distribution. However, the chemical composition of PM is not often assessed. The current paper presents the initial stages of the development of an infrared-based detector for the inline assessment of the chemistry of PM in the air. By combining a mini cyclone that is able to concentrate the particles at least a thousand fold and a hollow waveguide that aligns the flow of particles with infrared light, the feasibility of the concept was shown in this study. A clear differentiation between amorphous and crystalline silica was demonstrated at outdoor PM levels of lower than 1 mg per cubic meter. View Full-Text
Keywords: particulate matter sensor; inline chemical identification; infrared spectroscopy; hollow waveguide; cyclone; exposome particulate matter sensor; inline chemical identification; infrared spectroscopy; hollow waveguide; cyclone; exposome
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MDPI and ACS Style

Núñez, J.; Wang, Y.; Bäumer, S.; Boersma, A. Inline Infrared Chemical Identification of Particulate Matter. Sensors 2020, 20, 4193.

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