MICROSCOPIC TEXTURES AND FIELD BY FIELD CHARACTERIZATION OF MINERAL PHASES IN PROCESSING WASTE FROM THE INGICHKA BENEFICIATION PLANT
Main Article Content
Abstract
Downloads
Article Details
Section

This work is licensed under a Creative Commons Attribution 4.0 International License.
Public License Terms
(For Open Journal Systems (OJS))
-
Copyright:
The copyright of the published article remains with the author(s). However, after publication, the article is distributed on the OJS platform under the Creative Commons (CC BY) license. -
License Type:
This article is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This means users can utilize the article under the following conditions:- Copy and distribute: The text of the article or its parts can be freely distributed.
- Quote and analyze: Parts of the article can be used for quoting and analysis.
- Free use: The article can be freely used for research and educational purposes.
- Attribution: Users must provide proper attribution and reference to the original source.
-
Commercial use:
The article can be used for commercial purposes, provided that authorship and source are properly cited. -
Document modification:
The text or content of the article can be modified or adapted, as long as it does not harm the authorship. -
Liability disclaimer:
The author(s) are responsible for the accuracy of the information contained in the article. The editorial team of the platform is not liable for any damages resulting from the use of this information. -
Public usage obligations:
The content of the article must be used only in accordance with legal and ethical standards. Unauthorized use is strictly prohibited.
Note:
These license terms are designed to ensure transparency and openness in material usage. By accepting these terms, you agree to the adaptation and distribution of the article content under the terms of the Creative Commons license.
Link: Creative Commons Attribution 4.0 International (CC BY 4.0)
How to Cite
References
[1] Petruk, W. (2000). Applied mineralogy in the mining industry. Elsevier. https://www.sciencedirect.com/science/book/9780444500779 DOI: https://doi.org/10.1016/B978-044450077-9/50009-2
[2] Craig, J. R., & Vaughan, D. J. (1994). Ore microscopy and ore petrography (2nd ed.). John Wiley & Sons. https://msaweb.org/ore/
[3] Fandrich, R., Gu, Y., Burrows, D., & Moeller, K. (2007). Modern SEM-based mineral liberation analysis. International Journal of Mineral Processing, 84(1–4), 310–320. https://doi.org/10.1016/j.minpro.2006.07.018 DOI: https://doi.org/10.1016/j.minpro.2006.07.018
[4] Mineral Data Publishing. (2005). Bismuthinite. In Handbook of mineralogy (Version 1). https://handbookofmineralogy.org/pdfs/bismuthinite.pdf
[5] Putnis, A. (2009). Mineral replacement reactions. Reviews in Mineralogy and Geochemistry, 70(1), 87–124. https://doi.org/10.2138/rmg.2009.70.3 DOI: https://doi.org/10.2138/rmg.2009.70.3
[6] Rimstidt, J. D., & Vaughan, D. J. (2003). Pyrite oxidation: A state-of-the-art assessment of the reaction mechanism. Geochimica et Cosmochimica Acta, 67(5), 873–880. https://doi.org/10.1016/S0016-7037(02)01165-1 DOI: https://doi.org/10.1016/S0016-7037(02)01165-1
[7] Zhao, J., Brugger, J., & Pring, A. (2019). Mechanism and kinetics of hydrothermal replacement of magnetite by hematite. Geoscience Frontiers, 10(1), 29–41. https://doi.org/10.1016/j.gsf.2018.05.015 DOI: https://doi.org/10.1016/j.gsf.2018.05.015
[8] Schulz, B., Sandmann, D., & Gilbricht, S. (2020). SEM-based automated mineralogy and its application in geo- and material sciences. Minerals, 10(11), 1004. https://doi.org/10.3390/min10111004 DOI: https://doi.org/10.3390/min10111004
[9] Hrstka, T., Gottlieb, P., Skála, R., Breiter, K., & Motl, D. (2018). Automated mineralogy and petrology—Applications of TESCAN Integrated Mineral Analyzer (TIMA). Journal of Geosciences, 63(1), 47–63. https://doi.org/10.3190/jgeosci.250 DOI: https://doi.org/10.3190/jgeosci.250
[10] Lotter, N. O. (2011). Modern process mineralogy: An integrated multi-disciplined approach to flowsheeting. Minerals Engineering, 24(12), 1229–1237. https://doi.org/10.1016/j.mineng.2011.03.004 DOI: https://doi.org/10.1016/j.mineng.2011.03.004
[11] Gu, Y. (2003). Automated scanning electron microscope based mineral liberation analysis an introduction to JKMRC/FEI Mineral Liberation Analyser. Journal of Minerals and Materials Characterization and Engineering, 2(1), 33–41. https://doi.org/10.4236/jmmce.2003.21003 DOI: https://doi.org/10.4236/jmmce.2003.21003
[12] Saberi, N., & Vriens, B. (2023). Sample preparation biases in automated quantitative mineralogical analysis of mine wastes. Microscopy and Microanalysis, 29(1), 94–104. https://doi.org/10.1093/micmic/ozac006 DOI: https://doi.org/10.1093/micmic/ozac006
[13] Khojakulov, A., Ruziyev, U., Boymurodov, N., Shernazarov, I., Mashaev, E., & Shoyimova, K. (2024). Research and determination of parameters for extracting valuable components from technological waste. In BIO Web of Conferences (Vol. 149, p. 01049). EDP Sciences. DOI: https://doi.org/10.1051/bioconf/202414901049
[14] Khasanov, A., Kuttybayev, A., Boymurodov, N., Turobov, S., Khasanov, O., Nimchik, A., ... & Kambarov, A. (2025). METHODS OF SEPARATION OF TUNGSTEN AND MOLYBDENUM IN THE PROCESSING OF TUNGSTEN WASTE. New Materials, Compounds and Applications, 9(3), 645-657. DOI: https://doi.org/10.62476/nmca.93645