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Application of chemometric methods to XRF-data – A tutorial review. / Panchuk, Vitaly; Yaroshenko, Irina; Legin, Andrey; Semenov, Valentin; Kirsanov, Dmitry.

в: Analytica Chimica Acta, Том 1040, 21.12.2018, стр. 19-32.

Результаты исследований: Научные публикации в периодических изданияхОбзорная статьяРецензирование

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Author

Panchuk, Vitaly ; Yaroshenko, Irina ; Legin, Andrey ; Semenov, Valentin ; Kirsanov, Dmitry. / Application of chemometric methods to XRF-data – A tutorial review. в: Analytica Chimica Acta. 2018 ; Том 1040. стр. 19-32.

BibTeX

@article{6874114c692f4f88811bc310ae13a616,
title = "Application of chemometric methods to XRF-data – A tutorial review",
abstract = "X-ray fluorescence (XRF) spectrometry is a modern method of element analysis, widely applied in forensic science, archeology, geochemistry and other fields. Chemometric data processing tools and approaches may help XRF to become even more informative. These tools allow for convenient data visualization, exploration of hidden relations in the data, classification of samples and quantitative treatment of noisy and overlapped spectra. This review describes the most popular chemometric techniques employed in XRF studies and provides typical examples of such applications.",
keywords = "Chemometrics, Data processing, X-ray fluorescence, PORTABLE XRF, PRINCIPAL COMPONENT ANALYSIS, X-RAY-FLUORESCENCE, MULTIVARIATE STATISTICAL-ANALYSIS, DATA FUSION, MU-XRF, PLS-REGRESSION, ATOMIC SPECTROMETRY UPDATE, POSITIVE MATRIX FACTORIZATION, PARTIAL LEAST-SQUARES",
author = "Vitaly Panchuk and Irina Yaroshenko and Andrey Legin and Valentin Semenov and Dmitry Kirsanov",
year = "2018",
month = dec,
day = "21",
doi = "10.1016/j.aca.2018.05.023",
language = "English",
volume = "1040",
pages = "19--32",
journal = "Analytica Chimica Acta",
issn = "0003-2670",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Application of chemometric methods to XRF-data – A tutorial review

AU - Panchuk, Vitaly

AU - Yaroshenko, Irina

AU - Legin, Andrey

AU - Semenov, Valentin

AU - Kirsanov, Dmitry

PY - 2018/12/21

Y1 - 2018/12/21

N2 - X-ray fluorescence (XRF) spectrometry is a modern method of element analysis, widely applied in forensic science, archeology, geochemistry and other fields. Chemometric data processing tools and approaches may help XRF to become even more informative. These tools allow for convenient data visualization, exploration of hidden relations in the data, classification of samples and quantitative treatment of noisy and overlapped spectra. This review describes the most popular chemometric techniques employed in XRF studies and provides typical examples of such applications.

AB - X-ray fluorescence (XRF) spectrometry is a modern method of element analysis, widely applied in forensic science, archeology, geochemistry and other fields. Chemometric data processing tools and approaches may help XRF to become even more informative. These tools allow for convenient data visualization, exploration of hidden relations in the data, classification of samples and quantitative treatment of noisy and overlapped spectra. This review describes the most popular chemometric techniques employed in XRF studies and provides typical examples of such applications.

KW - Chemometrics

KW - Data processing

KW - X-ray fluorescence

KW - PORTABLE XRF

KW - PRINCIPAL COMPONENT ANALYSIS

KW - X-RAY-FLUORESCENCE

KW - MULTIVARIATE STATISTICAL-ANALYSIS

KW - DATA FUSION

KW - MU-XRF

KW - PLS-REGRESSION

KW - ATOMIC SPECTROMETRY UPDATE

KW - POSITIVE MATRIX FACTORIZATION

KW - PARTIAL LEAST-SQUARES

UR - http://www.scopus.com/inward/record.url?scp=85047193205&partnerID=8YFLogxK

UR - http://www.mendeley.com/research/application-chemometric-methods-xrfdata-tutorial-review

U2 - 10.1016/j.aca.2018.05.023

DO - 10.1016/j.aca.2018.05.023

M3 - Review article

AN - SCOPUS:85047193205

VL - 1040

SP - 19

EP - 32

JO - Analytica Chimica Acta

JF - Analytica Chimica Acta

SN - 0003-2670

ER -

ID: 30505124