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Quantifying elemental and organic carbon in diesel particulate matter by mid-infrared spectrometry
A method for the quantification of airborne organic carbon (OC) and elemental carbon (EC) within aerosolized diesel particulate matter (DPM) is described in this article. DPM is a known carcinogen encountered in many industrial workplaces (notably mining) and in the ambient atmosphere. The method de...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8563026/ https://www.ncbi.nlm.nih.gov/pubmed/34732970 http://dx.doi.org/10.1080/02786826.2021.1917764 |
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author | Parks, David A. Griffiths, Peter R. Weakley, Andrew T. Miller, Arthur L. |
author_facet | Parks, David A. Griffiths, Peter R. Weakley, Andrew T. Miller, Arthur L. |
author_sort | Parks, David A. |
collection | PubMed |
description | A method for the quantification of airborne organic carbon (OC) and elemental carbon (EC) within aerosolized diesel particulate matter (DPM) is described in this article. DPM is a known carcinogen encountered in many industrial workplaces (notably mining) and in the ambient atmosphere. The method described here collects DPM particles onto a quartz fiber filter, after which reflection-mode infrared spectra are measured on a mid-infrared Fourier transform (FT-IR) spectrometer. Several infrared absorption bands are investigated for their efficacy in quantifying OC and EC. The thermo-optical (T-O) method is used to calibrate a linear regression model to predict OC and EC from the infrared spectra. The calibrated model, generated from laboratory DPM samples, is then utilized to quantify OC and EC in mine samples obtained from two metal mine locations under a variety of operating conditions. The feasibility of further improving these results by partial least squares (PLS) regression was investigated. A single calibration that is broadly applicable would be considered an improvement over currently available portable instruments, which require aerosol-specific calibration. |
format | Online Article Text |
id | pubmed-8563026 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-85630262021-11-02 Quantifying elemental and organic carbon in diesel particulate matter by mid-infrared spectrometry Parks, David A. Griffiths, Peter R. Weakley, Andrew T. Miller, Arthur L. Aerosol Sci Technol Article A method for the quantification of airborne organic carbon (OC) and elemental carbon (EC) within aerosolized diesel particulate matter (DPM) is described in this article. DPM is a known carcinogen encountered in many industrial workplaces (notably mining) and in the ambient atmosphere. The method described here collects DPM particles onto a quartz fiber filter, after which reflection-mode infrared spectra are measured on a mid-infrared Fourier transform (FT-IR) spectrometer. Several infrared absorption bands are investigated for their efficacy in quantifying OC and EC. The thermo-optical (T-O) method is used to calibrate a linear regression model to predict OC and EC from the infrared spectra. The calibrated model, generated from laboratory DPM samples, is then utilized to quantify OC and EC in mine samples obtained from two metal mine locations under a variety of operating conditions. The feasibility of further improving these results by partial least squares (PLS) regression was investigated. A single calibration that is broadly applicable would be considered an improvement over currently available portable instruments, which require aerosol-specific calibration. 2021-05-09 /pmc/articles/PMC8563026/ /pubmed/34732970 http://dx.doi.org/10.1080/02786826.2021.1917764 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. |
spellingShingle | Article Parks, David A. Griffiths, Peter R. Weakley, Andrew T. Miller, Arthur L. Quantifying elemental and organic carbon in diesel particulate matter by mid-infrared spectrometry |
title | Quantifying elemental and organic carbon in diesel particulate matter by mid-infrared spectrometry |
title_full | Quantifying elemental and organic carbon in diesel particulate matter by mid-infrared spectrometry |
title_fullStr | Quantifying elemental and organic carbon in diesel particulate matter by mid-infrared spectrometry |
title_full_unstemmed | Quantifying elemental and organic carbon in diesel particulate matter by mid-infrared spectrometry |
title_short | Quantifying elemental and organic carbon in diesel particulate matter by mid-infrared spectrometry |
title_sort | quantifying elemental and organic carbon in diesel particulate matter by mid-infrared spectrometry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8563026/ https://www.ncbi.nlm.nih.gov/pubmed/34732970 http://dx.doi.org/10.1080/02786826.2021.1917764 |
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