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Methodology of selecting the algorithms for optimization of arc spectral analysis

https://doi.org/10.26896/1028-6861-2019-85-1-II-77-81

Abstract

The goal of the study is the choice of algorithms for optimization of arc atomic emission spectral analysis with MAÉS to elaborate the techniques of quantitative spectral analysis of different objects. The choice of the algorithms is performed on an example of geologic objects with alumosilicate matrix. Determination of the elemental composition of such geological objects is important for obtaining markers, studying geochronological processes, and searching for mineral deposits.

About the Authors

D. E. Babenkov
National Research Tomsk State University
Russian Federation
Tomsk


V. I. Otmakhov
National Research Tomsk State University
Russian Federation
Tomsk


E. V. Petrova
National Research Tomsk State University
Russian Federation
Tomsk


Yu. A. Povesma
National Research Tomsk State University
Russian Federation
Tomsk


Yu. E. Salosina
National Research Tomsk State University
Russian Federation
Tomsk


References

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3. Otmakhov V. I. Methodological features of creation of atomic-emission techniques for various objects / Analit. Kontrol’. 2005. Vol. 9. N 3. P. 245 – 249 [in Russian].

4. Otmakhov V. I., Petrova E. V. Optimization of conditions for atomic-emission spectral analysis of graphite-based powder samples of complex composition / Zavod. Lab. Diagn. Mater. 2012. Vol. 78. N 1. Part II. P. 82 – 85 [in Russian].

5. TU 3497-001-51046676–2008. Graphite electrodes «Iskra» for emission spectral analysis. — Moscow: ZAO «Karbotek», 2008 [in Russian].

6. RMG 61–2010. State system for ensuring the uniformity of measurements. Accuracy, trueness and precision measures of the procedures for quantitative chemical analysis. Methods of evaluation. — Moscow: Standartinform, 2012. — 58 p. [in Russian].


Review

For citations:


Babenkov D.E., Otmakhov V.I., Petrova E.V., Povesma Yu.A., Salosina Yu.E. Methodology of selecting the algorithms for optimization of arc spectral analysis. Industrial laboratory. Diagnostics of materials. 2019;85(1(II)):77-81. (In Russ.) https://doi.org/10.26896/1028-6861-2019-85-1-II-77-81

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ISSN 1028-6861 (Print)
ISSN 2588-0187 (Online)