Standoff mid-infrared reflectance spectroscopy using quantum cascade laser for mineral identification

Par Conseil national de recherches du Canada

DOITrouver le DOI : https://doi.org/10.1117/12.2579900
AuteurRechercher : 1; Rechercher : 1; Rechercher : 1
Affiliation du nom
  1. Conseil national de recherches du Canada. Énergie, mines et environnement
FormatTexte, Article
Titre du compte-renduSPIE Future Sensing Technologies
Titre de la collectionProceedings of SPIE; Volume 11525
ConférenceSpie Future Sensing Technologies, 9-13 November 2020, Online Only
ISSN0277-786X
1996-756X
Numéro d'article1152513
Pages1152513-1–1152513-9
Sujetminerals; quantum cascade lasers; reflectance spectroscopy; mid-IR; silicates; carbonates; distance measurement; mining; quartz; statistical analysis
Résumé
In this work, quantum cascade laser (QCL) mid-infrared (MIR) reflectance spectroscopy is used to discriminate silicate and carbonate minerals in a standoff measurement setting. The tunable external cavity QCL source that was used allows measurements from 5.2 μm to 13.4 μm wavelength, where the fundamental vibrational bands of silicates and carbonates are observed. Spectra measured from a half-core sample were analyzed using multivariate analysis to extract and identify the end-member spectra from the mixtures. The end-member spectra were compared and validated using the ASTER database spectra and the spectra measured on reference samples with the same QCL MIR reflectance spectroscopy setup. Spectra of minerals commonly found in the mining industry were compared: quartz, microcline, albite, chlorite, muscovite, biotite, calcite and dolomite. MIR reflectance spectroscopy using compact QCL sources allow rapid spectral measurements at standoff distances and high spatial resolution. All these advantages show the potential of QCL MIR reflectance spectroscopy for in-the-field mining applications.
Date de publication
Maison d’éditionSPIE
Licence
Langueanglais
Publications évaluées par des pairsOui
Numéro du CNRCNRC-EME-56145
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Identificateur de l’enregistrementf6f7c32b-8e3e-4c03-9e70-3a7d12cfe867
Enregistrement créé2020-11-18
Enregistrement modifié2020-11-18
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