Sustainable Optimization of Decomposition Conditions for Tungsten-Molybdenum Ores with Diverse Mineral Compositions
Ismailova A. Rashit D. Zlobina E. Amanova E. Tileuberdi Y.
October 2025Engineered Science Publisher
Engineered Science
2025#37
This study investigates various decomposition methods for tungsten-molybdenum ores—wet, dry, and autoclave—to identify optimal conditions for Mo and W extraction. Four ore samples were examined: two reference materials and two natural samples from Central Kazakhstan. Natural samples О-3 and O-4, classified as refractory silica-rich tungstenmolybdenum ores, have complex mineralogical compositions. Optimal decomposition conditions for these ores were established for the first time, considering their geochemical features. X-ray fluorescence (XRF) and X-ray diffraction (XRD) were used to determine the elemental and phase composition, while ICP-MS analyzed digested solutions. The efficiency of Mo and W extraction depend on both mineralogical form and matrix. Nine decomposition methods were tested. For standard molybdenum–tungsten ore samples (O-1 and O-2), the highest recoveries were achieved using acid-based techniques, particularly autoclave digestion with HNO3-HF and wet digestion with HNO3. In contrast, natural samples with complex silicarich matrices containing Al, Fe, and Ca (O-3 and O-4) required stronger approaches such as autoclave treatment with HNO3HF or HCl and alkaline sintering with Na2CO3 followed by HNO3 dissolution. All experiments were performed in triplicate, with a standard deviation of 3–5%. These findings demonstrate the importance of matching decomposition strategies to ore characteristics for effective Mo and W recovery.
Decomposition , Molybdenum , Ore , Tungsten
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Faculty of Chemistry and Chemical Technology, Al-Farabi Kazakh National University, 71 Al−Farabi Avenue, Almaty, 050040, Kazakhstan
Faculty of Natural Sciences and Geography, Abai Kazakh National Pedagogical University, 13 Dostyk Avenue, Almaty, 050010, Kazakhstan
Faculty of Chemistry and Chemical Technology
Faculty of Natural Sciences and Geography
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