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Laser-induced breakdown spectroscopy (LIBS) spectra interpretation and characterization using parallel factor analysis (PARAFAC): a new procedure for data and spectral interferences processing fostering waste electrical and electronic equipment (WEEE) recycling process

Abstract

Laser-induced breakdown spectroscopy (LIBS) was used to characterize base (Al and Cu) and noble (Au and Ag) elements on a printed circuit board (PCB) from hard disk (HD). A PCB was cut in 77 fragments and, a matrix of 4 rows and 4 columns with 10 laser pulses in each point of the matrix was acquired in each fragment by LIBS. For each element, a spectral range was selected with its respective emission lines and, Parallel Factor Analysis (PARAFAC) was used to model the data. LIBS spectra are two-way data, but in this case, the depths were used as a third mode being the data set: samples × variables (emission lines) × depths (laser pulses from 1 to 10). PARAFAC was able to model spectral interference and analyte emission line in separate components, which allows to remove the contribution of the concomitants from the measured data. The scores (relative concentrations, mode 1) of the component of interest was used to create a map of the PCB colored by concentration, and it was possible visualize where the element is predominantly located on the PCB. In addition, classification models were performed for Au and Ag using Partial least squares discriminant analysis (PLSDA) after removal of the interferents using the PARAFAC result. Good figures of merit were obtained for calibration, cross-validation and validation data set with accuracy ranging from 0.94 to 0.98. Therefore, the use of PARAFAC and LIBS spectra were very useful, being a great contribution to LIBS community and for urban mining.

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Article information


Submitted
29 Jan 2020
Accepted
24 Mar 2020
First published
24 Mar 2020

J. Anal. At. Spectrom., 2020, Accepted Manuscript
Article type
Paper

Laser-induced breakdown spectroscopy (LIBS) spectra interpretation and characterization using parallel factor analysis (PARAFAC): a new procedure for data and spectral interferences processing fostering waste electrical and electronic equipment (WEEE) recycling process

J. P. Castro, E. R. Pereira-Filho and R. Bro, J. Anal. At. Spectrom., 2020, Accepted Manuscript , DOI: 10.1039/D0JA00026D

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