Abstract
The small-angle X-ray scattering method allows studying the structure of solutions of proteins, polymers, and metal nanoparticles in the range of 1–200 nm. The development of new and improvement of the available algorithms for the analysis of experimental small-angle X-ray scattering data is an important task. This study presents a number of algorithms that make it possible to find the particle size distribution functions, restore the intensity profiles of individual components in protein mixtures, and estimate the size of the region of crystallinity and spacing distances in partially ordered systems. A number of algorithms are implemented as programs using the Qt cross-platform graphics library, which greatly expands the number of their potential users. The efficiency of the algorithms has been demonstrated on a number of theoretical and experimental small-angle X-ray scattering data.
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Funding
This work was supported by the Ministry of Science and Higher Education of the Russian Federation within the framework of the Federal Scientific and Technical Program for the Development of Synchrotron and Neutron Research and Research Infrastructure for 2019–2027, agreement no. 075-15-2021-1355 of October 12, 2021.
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Translated by G. Dedkov
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Konarev, P.V., Volkov, V.V. Development of Algorithms for Analysis of Small-Angle X-Ray Scattering Data from Polydisperse and Partially Ordered Systems. Phys. Atom. Nuclei 85, 2127–2132 (2022). https://doi.org/10.1134/S1063778822090198
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DOI: https://doi.org/10.1134/S1063778822090198