DOI

A possibility of identification of the oxidation state of iron by wavelength dispersive X-ray fluorescence spectroscopy using both the position and intensity of Lα and Lβ spectral lines of iron and by principal component analysis score data obtained by the decomposition of the spectral region corresponding to spectral L-series lines of iron is demonstrated. The application of scores ensures a more reliable identification in comparison with line parameters (position and intensity). Two approaches based on projection on latent structures (PLS) regression for the determination of the concentration of iron in different oxidation states are proposed. The first approach consists in using reference models with compositions similar to those of analyzed samples. In the second approach, PLS regression was build using model spectra obtained from spectra of readily available iron compounds
Язык оригиналаанглийский
Страницы (с-по)662-670
Число страниц9
ЖурналJournal of Analytical Chemistry
Том72
Номер выпуска6
DOI
СостояниеОпубликовано - 1 июн 2017

    Области исследований

  • chemometricsK-nearest neighbors algorithmoxidation stateprincipal component analysisprojection on latent structuresX-ray fluorescence spectroscopy

    Предметные области Scopus

  • Аналитическая химия

ID: 34653969