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作 者:李建涛 庄肃凯 王之宇 刘璇 赵锋 LI Jian-tao;ZHUANG Su-kai;WANG Zhi-yu;LIU Xuan;ZHAO Feng(College of Chemical Engineering and Modern Materials,Shangluo University,Shangluo 726000,Shaanxi,China;Shaanxi Key Laboratory of Comprehensive Utilization of Tailings Resources,Shangluo 726000,Shaanxi,China)
机构地区:[1]商洛学院化学工程与现代材料学院,陕西商洛726000 [2]陕西省尾矿综合利用重点实验室,陕西商洛726000
出 处:《矿冶工程》2018年第4期111-114,117,共5页Mining and Metallurgical Engineering
基 金:商洛学院服务地方专项(15SKY-FWDF007)
摘 要:从钼矿区矿坑水中分离得到自然混合菌种,经驯化培养,用于浸出陕西洛南低品位钼矿。以浸出液中钼的含量作为评判指标,在单因素试验的基础上,通过响应面法优化得出了最佳浸出条件为:初始p H值2.0、Fe2+浓度5.00 g/L、Fe3+浓度2.90 g/L,此条件下钼浸出率为73.87%,而相应的无菌化学浸出实验的钼浸出率仅为12.65%。拟合得到二次回归方程模型的相关系数为R2=0.991 1,P<0.000 1,说明回归效果很好,失拟项P=0.671 0>0.05,失拟不显著,误差小,可用该模型对钼的微生物浸出率进行分析和预测。Naturally mixed strains were isolated from the pit water in a molybdenum ore mine and adopted in the leaching process ol low-grade molybdenum ore from Shaanxi Province after cultivation.Based on the single-factor test,the bioleaching conditions were optimized by using response surface methodology(RSM)with the content of molybdenum in the leach liquid as an evaluating index,including an initial pH value of 2.0,Fe2+concentration at 5.00 g/L,Fe3+concentration at 2.90 g/L.It is shown that the Mo leaching rate reached 73.87%on the optimum leaching conditions,while the Mo leaching rate without bacterial just around 12.65%.The correlation coefficient of the quadratic regression equation after fitting was obtained as follows:R2=0.991 1,P<0.000 1,indicating an excellent regression effect.It is also shown that the lack of fit P(P=0.671 0>0.05)was not significant with small error.It is concluded that the bioleaching rate of molybdenum can be evaluated and predicted by this model.
关 键 词:低品位钼矿 混合菌种 生物冶金 响应面法 钼 浸出
分 类 号:TF18[冶金工程—冶金物理化学]
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