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<p>The increasing demand for copper is pushing conventional production methods beyond their inherent limits. Consequently, solvent extraction and electrowinning (SX-EW) are progressively gaining a larger share of total copper production. The selective extraction of copper and other valuable metals commences with the leaching process. Therefore, researchers and metallurgists are focused on optimizing this process to enhance recovery rates. To facilitate this optimization, a new continuous monitoring method was proposed. The method is centered on the color differentiation that occurs in the pregnant solution during leaching. Specifically, samples of chalcopyrite (CuFeS<sub>2</sub>) were heat-treated across a range of 10 temperatures, from 300&#xa0;°C to 750&#xa0;°C in 50&#xa0;°C increments. Subsequently, these samples underwent autogenous leaching. The resulting pregnant solutions and solid residues were photographed under controlled conditions. Color features were then extracted from the images of each sample. Following this, the pregnant solutions were characterized using ICP-OES and the residues by XRD. The sample heat-treated at 600&#xa0;°C yielded the best recovery, with 98.34% copper and 5.33% iron. A strong linear correlation was identified between the image analysis results and the mineral characterization data. This correlation was then used to develop three recovery rate prediction models. The most effective model, with an explanatory power (R<sup>2</sup>) of 0.97, utilized three variables: blue chromaticity, green chromaticity, and pH. These findings demonstrate that the recovery rate can be accurately monitored through observable visual changes in the pregnant solutions.</p> Graphical Abstract <p></p>

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A Novel Approach by Image Analysis of Heat-Treated and Leached Chalcopyrite: Part 2, Optimization of Dissolution Behavior

  • 期刊论文

  • 发表日期：

    2026年2月2日

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  • Elif Uzun,
  • Mikail Başyiğit,
  • Zeynep Hazal Yazğan

摘要

The increasing demand for copper is pushing conventional production methods beyond their inherent limits. Consequently, solvent extraction and electrowinning (SX-EW) are progressively gaining a larger share of total copper production. The selective extraction of copper and other valuable metals commences with the leaching process. Therefore, researchers and metallurgists are focused on optimizing this process to enhance recovery rates. To facilitate this optimization, a new continuous monitoring method was proposed. The method is centered on the color differentiation that occurs in the pregnant solution during leaching. Specifically, samples of chalcopyrite (CuFeS2) were heat-treated across a range of 10 temperatures, from 300 °C to 750 °C in 50 °C increments. Subsequently, these samples underwent autogenous leaching. The resulting pregnant solutions and solid residues were photographed under controlled conditions. Color features were then extracted from the images of each sample. Following this, the pregnant solutions were characterized using ICP-OES and the residues by XRD. The sample heat-treated at 600 °C yielded the best recovery, with 98.34% copper and 5.33% iron. A strong linear correlation was identified between the image analysis results and the mineral characterization data. This correlation was then used to develop three recovery rate prediction models. The most effective model, with an explanatory power (R2) of 0.97, utilized three variables: blue chromaticity, green chromaticity, and pH. These findings demonstrate that the recovery rate can be accurately monitored through observable visual changes in the pregnant solutions.

Graphical Abstract