Articles | Open Access | https://doi.org/10.37547/ajast/Volume05Issue12-16

Chemical Processing Of Aznek Ore Deposits: Modern Analytical Approaches For Determining The Composition Of Primary Components

Kudiyarova Ayimkhan , Doctoral student of the "Chemical Engineering" department of Karakalpak State University, Uzbekistan
Nurmurodov Tulkin Isomurodovich , Professor of the Department of Chemical Technology, Navoi State University of Mining and Technology, Vice-Rector for Scientific Affairs and Innovations, Uzbekistan

Abstract

The effective chemical processing of Aznek ore deposits requires precise identification of their primary mineral and elemental components using advanced analytical techniques. This study presents a comprehensive evaluation of modern spectroscopic, microscopic, and wet-chemical methods applied to the characterization of Aznek ores. High-resolution analytical tools including X-ray fluorescence (XRF), inductively coupled plasma mass spectrometry (ICP-MS), electron probe microanalysis (EPMA), Raman spectroscopy, and X-ray diffraction (XRD) were employed to determine major elements, trace impurities, mineral phases, and microstructural heterogeneity. The integrated methodological approach provided highly accurate, reproducible data that serve as a scientific basis for predicting ore behavior during hydrometallurgical and pyrometallurgical processing. The findings demonstrate that modern multi-modal analysis enhances technological decision-making, increases metal recovery efficiency, and supports the development of environmentally sustainable processing strategies. This work underscores the critical role of advanced chemical characterization in optimizing the beneficiation and industrial utilization of Aznek ore resources.

Keywords

Aznek ore, chemical processing, modern analytical methods

References

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Kudiyarova Ayimkhan, & Nurmurodov Tulkin Isomurodovich. (2025). Chemical Processing Of Aznek Ore Deposits: Modern Analytical Approaches For Determining The Composition Of Primary Components. American Journal of Applied Science and Technology, 5(12), 103–105. https://doi.org/10.37547/ajast/Volume05Issue12-16