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Bioleaching Modeling-A Review
Manuel Saldaña1,2, Matías Jeldres2, Felipe M Galleguillos Madrid3
1Faculty of Engineering and Architecture, Arturo Prat University, Iquique 1110939, Chile.
Bioleaching uses microorganisms for mineral extraction, offering an eco-friendly alternative to traditional mining. This study explores modeling techniques for bioleaching processes, focusing on mineral recovery rates.
Area of Science:
- * Environmental Science
- * Mining Engineering
- * Bioprocess Engineering
Background:
- * Mineral leaching is a key step in metal extraction, with bioleaching emerging as a sustainable alternative to pyrometallurgical methods.
- * Bioleaching offers environmental benefits like reduced emissions, lower costs, and suitability for low-grade ores.
- * Traditional mining methods often carry significant environmental liabilities.
Purpose of the Study:
- * To present the theoretical basis for modeling bioleaching processes.
- * To focus on the modeling of mineral recovery rates within bioleaching.
- * To review various modeling approaches for mineral dissolution.
Main Methods:
- * Review of conventional leaching dynamics models, including the shrinking core model.
- * Exploration of diffusion-controlled, chemically controlled, and film diffusion-controlled oxidation processes.
- * Introduction to statistical analysis models like surface response methodology and machine learning algorithms.
Main Results:
- * Established models range from diffusion-based to advanced statistical and machine learning approaches.
- * Bioleaching modeling for industrial minerals is a developed field.
- * Bioleaching modeling for rare earth elements presents significant future growth potential.
Conclusions:
- * Bioleaching presents a more sustainable and environmentally friendly mining approach.
- * Modeling is crucial for optimizing bioleaching processes and mineral recovery.
- * Further research in rare earth element bioleaching modeling is warranted.
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