A number of phosphate rocks and organomineral P fertilizers was analyzed comparatively by laser-induced breakdown spectroscopy (LIBS) in both single- and double-pulse modes associated with two chemometric methods, i.e., principal components analysis (PCA) and partial least squares regression (PLSR). PCA was demonstrated to be a valuable method for the identification of spectral differences between similar samples with only minor compositional differences. The raw and normalized LIBS spectra were able to provide effective identification and discrimination at a 95% confidence level and in good agreement with the reference concentrations. Results obtained confirm the promising potential of LIBS for the rapid classification of P fertilizers in situ.
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Abstract of article is published in Zhurnal Prikladnoi Spektroskopii, Vol. 84, No. 5, p. 839, September–October, 2017.
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Senesi, G.S., Romano, R.A., Marangoni, B.S. et al. Laser-Induced Breakdown Spectroscopy Associated with Multivariate Analysis Applied to Discriminate Fertilizers of Different Nature. J Appl Spectrosc 84, 923–928 (2017). https://doi.org/10.1007/s10812-017-0566-4
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DOI: https://doi.org/10.1007/s10812-017-0566-4