Enhanced elemental and mineralogical imaging of Cu-mineralized rocks by coupling μ-LIBS and HSI

Abstract

Coupling HSI and μ-LIBS for elemental and mineralogical imaging in rocks. Elemental and mineral distribution with micrometric spatial resolution. μ-LIBS was expanded to a new field of molecular imaging.

Laser-Induced Breakdown Spectroscopy Imaging for Material and Biomedical Applications: Recent Advances and Future Perspectives

“…The multivariate curve resolution-alternating least-squares (MCR-ALS) method is certainly the most commonly used method in chemometrics for signal unmixing. This is also the case in LIBS imaging, as shown by the work of Sandoval-Munoz et al 157 and El Haddad et al, 158 for the characterization of complex mineral samples. Nardecchia et al 159 also used the MCR-ALS method to simultaneously explore two imaging data sets of the same mineral sample from LIBS and plasma-induced luminescence (PIL).…”

Atomic spectrometry update – a review of advances in environmental analysis

“…Identification in the field of different types of bauxite was based 197 on a convolutional neural network approach and PCA. Fast and detailed analysis of mineral species in copper ores was achieved 198 by preliminary screening using hyperspectral imaging to discriminate between Cu-sulfides and barren minerals, followed by detailed elemental and mineralogical analysis by μLIBS. In a follow-up paper, multivariate calibration techniques such as PLS, ANN and MCR-ALS were compared 199 as quantification approaches for improved mineralogical analysis of copper ores.…”