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Nitric Acid Leaching for Magnesium Extraction from Asbestos Ore Waste: From DoE to Predictive Modeling and
Nikolay S Ivanov1, Oleg S Kholkin1, Arlan Z Abilmagzhanov1
1Laboratory of Applied Research, D.V. Sokolskiy Institute of Fuel, Catalysis and Electrochemistry JSC, Almaty 050010, Kazakhstan.
Molecules (Basel, Switzerland)
|November 27, 2025
Summary
This study optimized magnesium extraction from asbestos ore waste using nitric acid, achieving up to 90% efficiency. The process offers a cost-effective, closed-cycle method for valuable magnesium product recovery.
Area of Science:
- Materials Science
- Chemical Engineering
- Environmental Science
Background:
- Kazakhstan's asbestos industry generates over 3 million tons of annual waste, primarily magnesium-rich minerals.
- Efficiently extracting valuable resources from industrial waste is crucial for sustainability and economic viability.
Purpose of the Study:
- To systematically investigate and optimize the extraction of magnesium from asbestos ore waste (AOW) using nitric acid (HNO3).
- To maximize magnesium extraction efficiency and cost-effectiveness while exploring a closed-cycle process.
Main Methods:
- Experimental optimization of nitric acid concentration, leaching temperature, time, solid-to-liquid ratio, and particle size.
- Application of the Protodyakonov model to validate extraction rate dependencies.
- Analysis of magnesium nitrate decomposition for closed-cycle process potential.
Main Results:
- Magnesium extraction efficiency is most dependent on acid concentration, followed by temperature, time, and solid-to-liquid ratio; particle size was negligible.
- Optimal cost-efficiency achieved with acid concentrations < 450 g/L and temperatures between 65-85 °C.
- Extraction efficiencies up to 90% are attainable, reducing reagent use and production costs.
Conclusions:
- Nitric acid leaching is an effective method for magnesium extraction from AOW.
- The process enables a closed-cycle system through magnesium nitrate decomposition, allowing HNO3 regeneration.
- This approach offers a sustainable and cost-effective pathway for magnesium production from industrial waste.
Keywords:
asbestoscost-efficiency optimizationecologyleachingmagnesium oxidemathematical planningmodeling
