Abstract
The results of chemometric analysis of the X-ray fluorescence data of biological samples are presented. Using the study of the elemental composition of the proximal tail vertebrae of mice after 30-day space flight and vivarium reference specimens as an example, the effectiveness of the application of self-modeling algorithms for identifying the element distribution in the bone matrix, inclusions, etc., is shown. The used approach eliminated residual correlations between elements from consideration and highlighted the intrinsic features of the elemental distribution in bone tissue of the tail vertebrae of mice.
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Funding
The work was partially supported by the Russian Foundation for Basic Research (project no. 18-29-26028 mk) in the study of biological objects and the Ministry of Science and Higher Education of Russia within the State Assignment of the Federal Research Center “Crystallography and Photonics” of the Russian Academy of Sciences in the development of techniques for the characterization of multiphase multicomponent systems. The work was performed using equipment of “Crystallography and Photonics” supported by the Ministry of Education and Science (project RFMEFI62119X0035).
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Translated by A. Muravev
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Tereschenko, E.Y., Volkov, V.V., Seregin, A.Y. et al. Chemometric Analysis of X-ray Fluorescence Spectra in the Study of the Element Distribution in Bone Tissue. Nanotechnol Russia 17, 420–428 (2022). https://doi.org/10.1134/S2635167622030211
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DOI: https://doi.org/10.1134/S2635167622030211