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Inline Infrared Chemical Identification of Particulate Matter

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...

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Detalles Bibliográficos
Autores principales: Núñez, Javier, Wang, Yunqi, Bäumer, Stefan, Boersma, Arjen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435449/
https://www.ncbi.nlm.nih.gov/pubmed/32731546
http://dx.doi.org/10.3390/s20154193
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author Núñez, Javier
Wang, Yunqi
Bäumer, Stefan
Boersma, Arjen
author_facet Núñez, Javier
Wang, Yunqi
Bäumer, Stefan
Boersma, Arjen
author_sort Núñez, Javier
collection PubMed
description 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.
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spelling pubmed-74354492020-08-28 Inline Infrared Chemical Identification of Particulate Matter Núñez, Javier Wang, Yunqi Bäumer, Stefan Boersma, Arjen Sensors (Basel) Article 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. MDPI 2020-07-28 /pmc/articles/PMC7435449/ /pubmed/32731546 http://dx.doi.org/10.3390/s20154193 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Núñez, Javier
Wang, Yunqi
Bäumer, Stefan
Boersma, Arjen
Inline Infrared Chemical Identification of Particulate Matter
title Inline Infrared Chemical Identification of Particulate Matter
title_full Inline Infrared Chemical Identification of Particulate Matter
title_fullStr Inline Infrared Chemical Identification of Particulate Matter
title_full_unstemmed Inline Infrared Chemical Identification of Particulate Matter
title_short Inline Infrared Chemical Identification of Particulate Matter
title_sort inline infrared chemical identification of particulate matter
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435449/
https://www.ncbi.nlm.nih.gov/pubmed/32731546
http://dx.doi.org/10.3390/s20154193
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