LASER-INDUCED BREAKDOWN SPECTROSCOPY ASSOCIATED WITH MULTIVARIATE ANALYSIS APPLIED TO DISCRIMINATE FERTILIZERS OF DIFFERENT NATURE
Abstract
A number of phosphate rocks and organo-mineral 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 an in good agreement with the reference concentrations. Results obtained confirm the promising potential of LIBS for the rapid classification of P fertilizers in situ.
Keywords
лазерно-искровая эмиссионная спектроскопия,
фосфатные породы,
органо-минеральные удобрения,
метод главных компонент,
частичная регрессия на основе метода наименьших квадратов,
laser-induced breakdown spectroscopy,
phosphate rocks,
organo-mineral fertilizers,
principal components analysis,
partial least squares regression
About the Authors
G. S. Senesi
Istituto di Nanotecnologia
Russian Federation
Russian Federation
R. A. Romano
São Carlos Institute of Physics, University of São Paulo
Russian Federation
Russian Federation
B. S. Marangoni
Physics Institute, Federal University of Mato Grosso do Sul
Russian Federation
Russian Federation
G. . Nicolodelli
Embrapa Agricultural Instrumentation
Russian Federation
Russian Federation
P. R. Villas-Boas
Embrapa Agricultural Instrumentation
Russian Federation
Russian Federation
V. M. Benites
Embrapa Solos
Russian Federation
Russian Federation
D. M. Milori
Embrapa Agricultural Instrumentation
Russian Federation
Russian Federation
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Review
For citations:
Senesi G.S., Romano R.A., Marangoni B.S., Nicolodelli G., Villas-Boas P.R., Benites V.M., Milori D.M. LASER-INDUCED BREAKDOWN SPECTROSCOPY ASSOCIATED WITH MULTIVARIATE ANALYSIS APPLIED TO DISCRIMINATE FERTILIZERS OF DIFFERENT NATURE. Zhurnal Prikladnoii Spektroskopii. 2017;84(5):839(1)-839(7). (In Russ.)
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