TY - JOUR

T1 - Determination of the oxidation state of iron by X-ray fluorescence spectroscopy using chemometric approaches

AU - Панчук, Виталий Владимирович

AU - Рабдано, Никита Олегович

AU - Гойденко, Александр Александрович

AU - Гребенюк, Андрей Владимирович

AU - Иркаев, Собир Муллоевич

AU - Семенов, Валентин Георгиевич

PY - 2017/6/1

Y1 - 2017/6/1

N2 - 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

AB - 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

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

U2 - 10.1134/S1061934817040128

DO - 10.1134/S1061934817040128

M3 - Article

VL - 72

SP - 662

EP - 670

JO - Journal of Analytical Chemistry

JF - Journal of Analytical Chemistry

SN - 1061-9348

IS - 6

ER -