Application of partial least-squares regression to the resolution of highly correlated spectra. Simultaneous spectrofluorimetric determination of Al3+, Ga3+ and In3+

M. Blanco, J. Coello, F. González, H. Iturriaga, S. Maspoch, A. R. Puigdomènech

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10 Citations (Scopus)

Abstract

The simultaneous spectrofluorimetric determination of mixtures of aluminium, gallium and indium as their 8-hydroxyquinoline complexes following extraction into chloroform is studied. The high collinearity of the spectra hindered their resolution by multiple linear regression (MLR) methodology ; therefore, experimental data were processed by partial least-squares regression (PLSR) methodology. A previous step in the study of three-dimensional fluorescence spectrum is possible to select the best information to quantify this system with high collinearity. Finally the optimal conditions for quantitation, the best data preprocessing procedure and the most suitable spectral mode for calibration were established. Using an external set allowed the three analytes to be determined simultaineously at concentrations below 1 μg ml-1 with errors less than 10% for aluminium and indium, and 15% for gallium.
Original languageEnglish
Pages (from-to)1489-1496
JournalTalanta
Volume43
Issue number9
DOIs
Publication statusPublished - 1 Jan 1996

Keywords

  • Fluorimetry
  • Highly correlated spectra
  • Oxine
  • PLSR

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