Issue 10, 2022

Improved mineralogical analysis in copper ores by laser-induced breakdown spectroscopy

Abstract

Copper and its production process are crucial in the quest to achieve decarbonization of energy sources and electromobility. The quantification of mineral species in copper ores in real-time is important for monitoring and improving the performance of the process. In this work the capability of laser-induced breakdown spectroscopy (LIBS) is expanded for rapid determination of the key mineral species namely bornite (Cu5FeS4), chalcocite (Cu2S), chalcopyrite (CuFeS2), covellite (CuS), enargite (Cu3AsS4), molybdenite (MoS2) pyrite (FeS2), quartz (SiO2), and iron oxides (FexOy) in bulk copper concentrates. Multivariate calibration techniques such as partial least squares regression (PLSR), artificial neural network regression (ANNR) and multivariate curve resolution-alternating least squares (MCR-ALS) were compared as quantification approaches. Moreover, prediction accuracy errors agree with those obtained by standard mineralogical techniques such as SEM-MLA.

Graphical abstract: Improved mineralogical analysis in copper ores by laser-induced breakdown spectroscopy

Supplementary files

Article information

Article type
Paper
Submitted
02 မေ 2022
Accepted
03 ဩ 2022
First published
19 ဩ 2022

J. Anal. At. Spectrom., 2022,37, 1994-2004

Improved mineralogical analysis in copper ores by laser-induced breakdown spectroscopy

J. Álvarez, M. Velásquez, C. Sandoval-Muñoz, R. D. P. Castillo, C. Y. Bastidas, D. Luarte, D. Sbárbaro, D. Rammlmair and J. Yáñez, J. Anal. At. Spectrom., 2022, 37, 1994 DOI: 10.1039/D2JA00145D

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