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Statistically Coherent Calibration of X-Ray Fluorescence Spectrometry for Major Elements in Rocks and Minerals
Joint Authors
Verma, Surendra P.
Díaz-González, Lorena
Rosales-Rivera, Mauricio
Verma, Sanjeet K.
Rivera-Gómez, M. Abdelaly
Torres-Sánchez, Darío
Amezcua-Valdez, Alejandra
Rivera-Escoto, Beatriz Adriana
Armstrong-Altrin, John S.
López-Loera, Héctor
Velasco-Tapia, Fernando
Pandarinath, Kailasa
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-11
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
We applied both the ordinary linear regression (OLR) and the new uncertainty weighted linear regression (UWLR) models for the calibration and comparison of a XRF machine through 59 geochemical reference materials (GRMs) and a procedure blank sample.
The mean concentration and uncertainty data for the GRMs used for the calibrations (Supplementary Materials) (available here) filewere achieved from an up-to-date compilation of chemical data and their processing from well-known discordancy and significance tests.
The drift-corrected XRF intensity and its uncertainty were determined from mostly duplicate pressed powder pellets.
The comparison of the OLR (linear correlation coefficient r∼0.9523–0.9964 and 0.9771–0.9999, respectively, for before and after matrix correction) and UWLR models (r∼0.9772–0.9976 and 0.9970–0.9999, respectively) clearly showed that the latter with generally higher values of r is preferable for routine calibrations of analytical procedures.
Both calibrations were successfully applied to rock matrices, and the results were generally consistent with those obtained in other laboratories although the UWLR model showed mostly narrower confidence limits of the mean (slope and intercept) or lower uncertainties than the OLR.
Similar sensitivity (∼2.69–46.17 kc·s−1·%−1 for the OLR and ∼2.78–59.69 kc·s−1·%−1 for the UWLR) also indicated that the UWLR could advantageously replace the OLR model.
Another novel aspect is that the total uncertainty can be reported for individual chemical data.
If the analytical instruments were routinely calibrated from the UWLR model, this action would make the science of geochemistry more quantitative than at present.
American Psychological Association (APA)
Verma, Surendra P.& Verma, Sanjeet K.& Rivera-Gómez, M. Abdelaly& Torres-Sánchez, Darío& Díaz-González, Lorena& Amezcua-Valdez, Alejandra…[et al.]. 2018. Statistically Coherent Calibration of X-Ray Fluorescence Spectrometry for Major Elements in Rocks and Minerals. Journal of Spectroscopy،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1202566
Modern Language Association (MLA)
Verma, Surendra P.…[et al.]. Statistically Coherent Calibration of X-Ray Fluorescence Spectrometry for Major Elements in Rocks and Minerals. Journal of Spectroscopy No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1202566
American Medical Association (AMA)
Verma, Surendra P.& Verma, Sanjeet K.& Rivera-Gómez, M. Abdelaly& Torres-Sánchez, Darío& Díaz-González, Lorena& Amezcua-Valdez, Alejandra…[et al.]. Statistically Coherent Calibration of X-Ray Fluorescence Spectrometry for Major Elements in Rocks and Minerals. Journal of Spectroscopy. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1202566
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1202566