氨基三乙酸强化铀钪协同浸出研究
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作者单位:

1.核工业北京化工冶金研究院,北京 101149 ;2.铀资源探采与核遥感全国重点实验室,北京 100029 ;3.中国铀业有限公司-东华理工大学核资源与环境国家重点实验室,江西 南昌 330013

作者简介:

易爱飞,女,博士,高级工程师,研究方向为铀矿冶

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中图分类号:

TF88;TF803.2

基金项目:

中国铀业有限公司-东华理工大学核资源与环境国家重点实验室联合创新基金项目(2023 NRE-LH-22)


Synergistic leaching of uranium and scandium enhanced by aminotriacetic acid
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1.Beijing Research Institute of Chemical Engineering and Metallurgy,Beijing 101149 ,China ;2.National Key Laboratory of Uranium Resources Exploration-Mining and Nuclear Remote Sensing,Beijing 100029 ,China ;3.State Key Laboratory of Nuclear Resources and Environment,China Uranium Co. , Ltd-East China,Nanchang 330013 ,China

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    摘要:

    以北方伴生钪砂岩铀矿为研究对象,针对硫酸浸出体系堵塞孔道铀浸出率低问题,创新性提出低酸浓度下有机配位体氨基三乙酸强化铀钪浸出技术,以提高铀钪协同浸出率。研究考察了单因子硫酸浓度、氨基三乙酸(NTA)浓度、氟碳表面活性剂浓度对铀钪浸出率影响,在此基础上选定水平,开展硫酸浓度、氨基三乙酸浓度、氟碳表面活性剂浓度、浸出时间的四因子二水平正交设计及试验研究。根据正交实验结果,通过线性回归分析和标准化效应Pareto图分析,明晰对铀、钪浸出率影响显著因子,构建浸出率与因子线性回归方程模型。结果表明以P<0.000 1判断,硫酸浓度对铀浸出率的影响程度大于浸出时间和氨基三乙酸浓度;影响钪浸出率的重要因素为硫酸浓度和浸出时间。通过识别的显著因子(P < 0.000 1)及二次项显著因子(0.01 < P < 0.05),构建铀浸出率与因子方程模型:铀浸出率/%=-0.46 + 14.39 [氨基三乙酸浓度] + 7.46 [硫酸浓度] + 3.11[浸出时间],钪浸出率与因子方程模型:钪浸出率/%=14.35 + 6.59 [硫酸浓度] + 3.51[浸出时间] + 2.62[硫酸浓度]×[浸出时间]-4.6 [氨基三乙酸浓度]×[硫酸浓度]。通过响应优化器分析,获得试验范围内最优水平工艺,在氨基三乙酸浓度2.0 g/L、硫酸浓度2.0 g/L条件下,浸出6 h,铀浸出率达到66.9%、钪浸出率达到18.7%。本研究构建的方程模型可用于评估不同参数因子水平对铀钪浸出率影响,在指导实际应用时,还需结合考虑氨基三乙酸对水冶树脂提铀的影响。

    Abstract:

    Taking the northern by-product scandium sandstone uranium ore as the research object, this study addresses the problem of low uranium leaching rates caused by pore blockage in high-acid leaching systems. An innovative method is proposed using the organic chelating agent nitrilotriacetic acid (NTA) under low acid concentration to enhance the co-leaching of uranium and scandium, aiming to improve the co-leaching of uranium and scandium. Research on the NTA-enhanced co-leaching of uranium and scandium was conducted using northern by-product scandium sandstone uranium ore as the subject. The effects of single factors on leaching were examined, including sulfuric acid concentration, nitrilotriacetic acid concentration, fluorinated surfactant concentration, and leaching time. Based on this, a four-factor two-level orthogonal design experiment was carried out. Through linear regression analysis and standardized effect Pareto chart analysis, the factors significantly affecting the uranium and scandium leaching were identified, and a linear regression equation model correlating leaching with each factor was constructed. The results indicate that, taking P<0. 000 1 as the criterion, sulfuric acid concentration has a significantly greater effect on uranium leaching than leaching time and NTA concentration; the important factors affecting scandium leaching are sulfuric acid concentration and leaching time. Based on the identified significant factors (P<0. 000 1) and significant quadratic factors (0. 01

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易爱飞,胥国龙,谭雨涵,等. 氨基三乙酸强化铀钪协同浸出研究[J]. 中国有色冶金,2026,55(3):86-95.

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  • 收稿日期:2025-12-29
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  • 在线发布日期: 2026-07-08
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