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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7435449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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