摘要
在生物浸出铜钴矿的基础上,采用生物活性沥浸液为浸出剂和响应面法优化浸出工艺参数以实现铜钴矿的高效生物浸出.菌液体系包含氧化硫硫杆菌,氧化亚铁硫杆菌和嗜铁钩端螺旋菌的混合体系.经 30 组实验结果统计分析发现,显著影响铜钴矿中Cu和Co浸出的因素为温度、固液比、初始pH、转速,以及温度-固液比、固液比-初始pH、固液比2 和初始pH 2 的交互影响,而显著影响Fe浸出的因素为温度、固液比、初始pH和固液比2 的交互影响.此外,针对生物浸出铜钴矿中Cu、Co和Fe浸出率的3 个预测模型R2 分别为 0.9864、0.9687 和 0.9381,表明预测模型具有较高真实性.最终,铜钴矿的最优生物浸出参数为温度 47.08℃、固液比 1.17%、初始 pH 0.81、转速120 r/min.在优化条件下,预测值分别为Cu 99.36%、Co 91.87%、Fe 88.43%,浸出 24 h后实测值分别为 100%、96.53%、86.11%.
Abstract
In this study,based on the bioleaching of copper-cobalt ore,bioactive leach solution was used as leaching agent and re-sponse surface method was used to optimize the leaching process parameters to achieve efficient bioleaching of copper-cobalt ore.The leach system contained a mixture of Acidithiobacillus thiooxidans,Acidithiobacillus ferrooxidans,and Leptospirillum ferriphilum.After 30 sets of experimental results were statistically analyzed,it was found that the significant factors affecting the leaching of Cu and Co in copper and cobalt ores were temperature,solid-liquid ratio,initial pH,rotational speed,and the interactions of temperature-solid-liquid ratio,solid-liquid ratio-initial pH,(solid-liquid ratio)2,and(initial pH)2,and the significant factors affecting the leaching of Fe were the interactions of temperature,solid-liquid ratio,initial pH,and(solid-liquid ratio)2.In addition,the R2 of the three prediction models for the leaching rates of Cu,Co and Fe from copper and cobalt ores by bioleaching were 0.9864,0.9687,and 0.9381,respectively,which indicated that the prediction models had a high degree of realism.Finally,the optimal bioleaching parameters for copper-cobalt ore were temperature 47.08℃,1.17%solid-liquid ratio,initial pH 0.81,and rotational speed 120 r/min.Under the optimized condi-tions,the predicted values were 99.36%for Cu,91.87%for Co,and 88.43%for Fe,and the measured values were 100%,96.53%,and 86.11%,respectively.
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