Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Does chemometrics work for matrix effects correction in X-ray fluorescence analysis? / Aidene, Soraya ; Khaydukova, Maria ; Pashkova, Galina; Chubarov, Victor ; Savinov, Sergey ; Semenov, Valentin; Kirsanov, Dmitry; Panchuk, Vitaly.
в: SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY, Том 185, 106310, 11.2021.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Does chemometrics work for matrix effects correction in X-ray fluorescence analysis?
AU - Aidene, Soraya
AU - Khaydukova, Maria
AU - Pashkova, Galina
AU - Chubarov, Victor
AU - Savinov, Sergey
AU - Semenov, Valentin
AU - Kirsanov, Dmitry
AU - Panchuk, Vitaly
N1 - Publisher Copyright: © 2021 Elsevier B.V.
PY - 2021/11
Y1 - 2021/11
N2 - Matrix effects are the main problem of quantitative analysis using X-ray fluorescence spectrometry (XRF). A largenumber of methods (fundamental parameters, intensity correction, etc.) have been proposed to account for sucheffects in order to increase the accuracy of determining the content of target analytes. Application of chemometricalgorithms for data processing of XRF spectra has been actively developed in recent years. The possibilitiesof these methods have not been systematically studied in terms of the correction of matrix effects yet. Thepresent study is intended to fill this gap. The article compares the capabilities of the most popular chemometricapproaches and classical methods of XRF data processing using as an example quantitative determination of anumber of elements in ore and steel samples performed with energy-dispersive XRF.
AB - Matrix effects are the main problem of quantitative analysis using X-ray fluorescence spectrometry (XRF). A largenumber of methods (fundamental parameters, intensity correction, etc.) have been proposed to account for sucheffects in order to increase the accuracy of determining the content of target analytes. Application of chemometricalgorithms for data processing of XRF spectra has been actively developed in recent years. The possibilitiesof these methods have not been systematically studied in terms of the correction of matrix effects yet. Thepresent study is intended to fill this gap. The article compares the capabilities of the most popular chemometricapproaches and classical methods of XRF data processing using as an example quantitative determination of anumber of elements in ore and steel samples performed with energy-dispersive XRF.
KW - Energy dispersive X-ray fluorescence
KW - Matrix effect correction
KW - Multivariate regression
KW - Chemometric
KW - Intensity correction
KW - Chemometrics
KW - SULFUR
KW - MULTIVARIATE CALIBRATION
KW - SPECTROMETRY
KW - TXRF
UR - http://www.scopus.com/inward/record.url?scp=85118702831&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/0ac8ce5b-36d4-3616-a32a-c5933f57868a/
U2 - 10.1016/j.sab.2021.106310
DO - 10.1016/j.sab.2021.106310
M3 - Article
VL - 185
JO - SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
JF - SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
SN - 0584-8547
M1 - 106310
ER -
ID: 88218294