Classical univariate calibration and partial least squares for quantitative analysis of brass samples by laser-induced breakdown spectroscopy (Articolo in rivista)

Type
Label
  • Classical univariate calibration and partial least squares for quantitative analysis of brass samples by laser-induced breakdown spectroscopy (Articolo in rivista) (literal)
Anno
  • 2010-01-01T00:00:00+01:00 (literal)
Alternative label
  • Andrade J.M., Cristoforetti G., Legnaioli S., Lorenzetti G., Palleschi V., Shaltout A.A. (2010)
    Classical univariate calibration and partial least squares for quantitative analysis of brass samples by laser-induced breakdown spectroscopy
    in Spectrochimica acta. Part B, Atomic spectroscopy
    (literal)
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  • Andrade J.M., Cristoforetti G., Legnaioli S., Lorenzetti G., Palleschi V., Shaltout A.A. (literal)
Pagina inizio
  • 658 (literal)
Pagina fine
  • 663 (literal)
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  • 65 (literal)
Rivista
Note
  • ISI Web of Science (WOS) (literal)
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  • Dept. Analytical Chemistry, University of A Corunna, Campus da Zapateira s/n 15071, A Corunna, Spain; Istituto per i Processi Chimico-Fisici del CNR, Area della Ricerca, Via Moruzzi 1, 56124 Pisa, Italy; Spectroscopy Department, Physics Division, National Research Center, El-Behooth Str., 12622 Dokki, Cairo, Egypt; Physics Department, Faculty of Science, Taif University, 21974 Taif, P.O. Box 888, Saudi Arabia (literal)
Titolo
  • Classical univariate calibration and partial least squares for quantitative analysis of brass samples by laser-induced breakdown spectroscopy (literal)
Abstract
  • In this work we compare the analytical results obtained by traditional calibration curves (CC) and multivariate Partial Least Squares (PLS) algorithm when applied to the LIBS spectra obtained from ten brass samples (nine standards of known composition and one ‘unknown’). Both major (Cu and Zn) and trace (Sn, Pb, Fe) elements in the sample matrix were analyzed. After the analysis, the composition of the ‘unknown’ sample, measured by X-ray Fluorescence (XRF) technique, was revealed. The predicted concentrations of major elements obtained by rapid PLS algorithms are in very good agreement with the nominal concentrations, as well as with those obtained by the more time-consuming CC approach. A discussion about the possible effects leading to discrepancies of the results is reported. The results of this study open encouraging perspectives towards the development of cheap LIBS instrumentation which would be capable, despite the limitations of the experimental apparatus, to perform fast and precise quantitative analysis on complex samples. (literal)
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