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On the Detection of Spectral Emissions of Iron Oxides in Combustion Experiments of Pyrite Concentrates
In this paper, we report on the spectral detection of wustite, Fe(II) oxide (FeO), and magnetite, Fe(II, III) oxide (Fe(3)O(4)), molecular emissions during the combustion of pyrite (FeS(2)), in a laboratory-scale furnace operating at high temperatures. These species are typically generated by reacti...
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/PMC7085799/ https://www.ncbi.nlm.nih.gov/pubmed/32120881 http://dx.doi.org/10.3390/s20051284 |
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author | Toro, Carlos Torres, Sergio Parra, Víctor Fuentes, Rodrigo Castillo, Rosario Díaz, Walter Reyes, Gonzalo Balladares, Eduardo Parra, Roberto |
author_facet | Toro, Carlos Torres, Sergio Parra, Víctor Fuentes, Rodrigo Castillo, Rosario Díaz, Walter Reyes, Gonzalo Balladares, Eduardo Parra, Roberto |
author_sort | Toro, Carlos |
collection | PubMed |
description | In this paper, we report on the spectral detection of wustite, Fe(II) oxide (FeO), and magnetite, Fe(II, III) oxide (Fe(3)O(4)), molecular emissions during the combustion of pyrite (FeS(2)), in a laboratory-scale furnace operating at high temperatures. These species are typically generated by reactions occurring during the combustion (oxidation) of this iron sulfide mineral. Two detection schemes are addressed: the first consisting of measurements with a built-in developed spectrometer with a high sensitivity and a high spectral resolution. The second one consisting of spectra measured with a low spectral resolution and a low sensitivity commercial spectrometer, but enhanced and analyzed with post signal processing and multivariate data analysis such as principal component analysis (PCA) and a multivariate curve resolution—the alternating least squares method (MCR-ALS). A non-linear model is also proposed to reconstruct spectral signals measured during pyrite combustion. Different combustion conditions were studied to evaluate the capacity of the detection schemes to follow the spectral emissions of iron oxides. The results show a direct correlation between FeO and Fe(3)O(4) spectral features intensity, and non-linear relations with key combustion variables such as flame temperature, and the combusted sulfide mineral particle size. |
format | Online Article Text |
id | pubmed-7085799 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70857992020-03-25 On the Detection of Spectral Emissions of Iron Oxides in Combustion Experiments of Pyrite Concentrates Toro, Carlos Torres, Sergio Parra, Víctor Fuentes, Rodrigo Castillo, Rosario Díaz, Walter Reyes, Gonzalo Balladares, Eduardo Parra, Roberto Sensors (Basel) Article In this paper, we report on the spectral detection of wustite, Fe(II) oxide (FeO), and magnetite, Fe(II, III) oxide (Fe(3)O(4)), molecular emissions during the combustion of pyrite (FeS(2)), in a laboratory-scale furnace operating at high temperatures. These species are typically generated by reactions occurring during the combustion (oxidation) of this iron sulfide mineral. Two detection schemes are addressed: the first consisting of measurements with a built-in developed spectrometer with a high sensitivity and a high spectral resolution. The second one consisting of spectra measured with a low spectral resolution and a low sensitivity commercial spectrometer, but enhanced and analyzed with post signal processing and multivariate data analysis such as principal component analysis (PCA) and a multivariate curve resolution—the alternating least squares method (MCR-ALS). A non-linear model is also proposed to reconstruct spectral signals measured during pyrite combustion. Different combustion conditions were studied to evaluate the capacity of the detection schemes to follow the spectral emissions of iron oxides. The results show a direct correlation between FeO and Fe(3)O(4) spectral features intensity, and non-linear relations with key combustion variables such as flame temperature, and the combusted sulfide mineral particle size. MDPI 2020-02-27 /pmc/articles/PMC7085799/ /pubmed/32120881 http://dx.doi.org/10.3390/s20051284 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 Toro, Carlos Torres, Sergio Parra, Víctor Fuentes, Rodrigo Castillo, Rosario Díaz, Walter Reyes, Gonzalo Balladares, Eduardo Parra, Roberto On the Detection of Spectral Emissions of Iron Oxides in Combustion Experiments of Pyrite Concentrates |
title | On the Detection of Spectral Emissions of Iron Oxides in Combustion Experiments of Pyrite Concentrates |
title_full | On the Detection of Spectral Emissions of Iron Oxides in Combustion Experiments of Pyrite Concentrates |
title_fullStr | On the Detection of Spectral Emissions of Iron Oxides in Combustion Experiments of Pyrite Concentrates |
title_full_unstemmed | On the Detection of Spectral Emissions of Iron Oxides in Combustion Experiments of Pyrite Concentrates |
title_short | On the Detection of Spectral Emissions of Iron Oxides in Combustion Experiments of Pyrite Concentrates |
title_sort | on the detection of spectral emissions of iron oxides in combustion experiments of pyrite concentrates |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085799/ https://www.ncbi.nlm.nih.gov/pubmed/32120881 http://dx.doi.org/10.3390/s20051284 |
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