Detalhes
Nome
Miguel Soares FerreiraCluster
Redes de Sistemas InteligentesCargo
Assistente de InvestigaçãoDesde
01 março 2015
Nacionalidade
PortugalCentro
Centro de Fotónica AplicadaContactos
+351220402301
miguel.s.ferreira@inesctec.pt
2023
Autores
Capela, D; Ferreira, M; Lima, A; Jorge, P; Guimarães, D; Silva, NA;
Publicação
Results in Optics
Abstract
2023
Autores
Lopes, T; Rodrigues, P; Cavaco, R; Capela, D; Ferreira, FS; Guimarães, D; Jorge, AS; Silva, A;
Publicação
Spectrochimica Acta - Part B Atomic Spectroscopy
Abstract
2022
Autores
Ferreira, MFS; Silva, NA; Guimarães, D; Martins, RC; Jorge, PAS;
Publicação
U.Porto Journal of Engineering
Abstract
2022
Autores
Silva N.A.; Capela D.; Ferreira M.; Gonçalves F.; Lima A.; Guimarães D.; Jorge P.A.S.;
Publicação
Results in Optics
Abstract
2022
Autores
Ferreira, MFS; Capela, D; Silva, NA; Goncalves, F; Lima, A; Guimaraes, D; Jorge, PAS;
Publicação
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
Abstract
Laser-induced breakdown spectroscopy allows fast chemical analysis of light elements without significant sample preparation, turning it into a promising technique for on-site mining operations. Still, the performance for quantification purposes remains its major caveat, obstructing a broader application of the technique. In this work, we present an extensive comparison of the performances of distinct algorithms for quantification of Lithium in a mining prospection stage, using spectra acquired with both a commercial handheld device and a laboratory prototype. Covering both linear and non-linear methodologies, the results show that, when covering a wide range of concentrations typical on a mining operation, non-linear methodologies manage to achieve errors compatible with a semi-quantitative performance, offering performances better than those obtained with linear methods, which are more affected by saturation and matrix effects. The findings enclosed offer support for future applications in the field and may possibly be generalized for other elements of interest in similar mining environments.
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