In this study, we propose a new approach based on Raman hyperspectral imaging and chemometrics for the analysis of chemically heterogeneous surfaces of weathered minerals. A pyrite sample showing a heterogeneous surface with different alteration products, is used to test the validity of the technique. Principal Component Analysis (PCA) was initially used to evaluate data structure and identify Raman phases and vibrational modes related to minor and major weathering features. Afterwards, Multivariate Curve Resolution-alternating least squares (MCR-ALS) was carried out to identify the specific chemical components of the major weathering phases. Finally, for the analysis of the minor weathering phases, K-means clustering was carried out to identify groups of similar pixels of low percentage of variance in the image. Three major components are found in the analyzed sample, corresponding to pyrite and hematite vibrational modes, as well as features of an amorphous alteration product patina. Four additional spectral signatures revealing the presence of sulfates were found after the analysis of minor components. The proposed method enables a semi-quantitative threshold-based characterization of chemical features and provides a visual representation of the phase distribution on the surface of the sample.

Muñoz, E., Gosetti, F., Ballabio, D., Ando, S., Gómez-Laserna, O., Amigo, J., et al. (2023). Characterization of pyrite weathering products by Raman hyperspectral imaging and chemometrics techniques. MICROCHEMICAL JOURNAL, 190(July 2023) [10.1016/j.microc.2023.108655].

Characterization of pyrite weathering products by Raman hyperspectral imaging and chemometrics techniques

Muñoz, Enmanuel Cruz
Primo
;
Gosetti, Fabio
;
Ballabio, Davide;Ando, Sergio;Garzanti, Eduardo
Ultimo
2023

Abstract

In this study, we propose a new approach based on Raman hyperspectral imaging and chemometrics for the analysis of chemically heterogeneous surfaces of weathered minerals. A pyrite sample showing a heterogeneous surface with different alteration products, is used to test the validity of the technique. Principal Component Analysis (PCA) was initially used to evaluate data structure and identify Raman phases and vibrational modes related to minor and major weathering features. Afterwards, Multivariate Curve Resolution-alternating least squares (MCR-ALS) was carried out to identify the specific chemical components of the major weathering phases. Finally, for the analysis of the minor weathering phases, K-means clustering was carried out to identify groups of similar pixels of low percentage of variance in the image. Three major components are found in the analyzed sample, corresponding to pyrite and hematite vibrational modes, as well as features of an amorphous alteration product patina. Four additional spectral signatures revealing the presence of sulfates were found after the analysis of minor components. The proposed method enables a semi-quantitative threshold-based characterization of chemical features and provides a visual representation of the phase distribution on the surface of the sample.
Articolo in rivista - Articolo scientifico
Chemometrics; Hyperspectral image analysis; Multivariate Curve Resolution-alternating least squares; Pyrite weathering; Raman imaging spectroscopy;
English
21-mar-2023
2023
190
July 2023
108655
mixed
Muñoz, E., Gosetti, F., Ballabio, D., Ando, S., Gómez-Laserna, O., Amigo, J., et al. (2023). Characterization of pyrite weathering products by Raman hyperspectral imaging and chemometrics techniques. MICROCHEMICAL JOURNAL, 190(July 2023) [10.1016/j.microc.2023.108655].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/407035
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