Data di Pubblicazione:
2022
Abstract:
Here, the potential of laser-induced breakdown spectroscopy (LIBS) in grading calcareous
rocks for the lime industry was investigated. In particular, we developed a system equipped with
non-intensified detectors operating in scanning mode, defined a suitable data acquisition protocol,
and implemented quantitative data processing using both partial least squares regression (PLS-R)
and a multilayer perceptron (MLP) neural network. Tests were carried out on 32 samples collected in
various limestone quarries, which were preliminarily analyzed using traditional laboratory X-ray
fluorescence (XRF); then, they were divided into two groups for calibration and validation. Particular
attention was dedicated to the development of LIBS methodology providing a reliable basis for
precise material grading. The congruence of the results achieved demonstrates the capability of the
present approach to precisely quantify major and minor geochemical components of calcareous rocks,
thus disclosing a concrete application perspective within the lime industry production chain.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
LIBS; MLP-ANN; quantitative analysis; lime; calcareous material; calcium oxide; LIBS mapping
Elenco autori:
Cacciari, Ilaria; Siano, Salvatore; Agresti, Juri; Osticioli, Iacopo; Mencaglia, ANDREA AZELIO
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