过氧化钠碱熔-电感耦合等离子体发射光谱法测定锆矿石中的锆铪镁铁钛

    Determination of Zirconium, Hafnium, Magnesium, Iron and Titanium in Zirconium Ores by Sodium Peroxide Fusion-Inductively Coupled Plasma Optical Emission Spectrometry

    • 摘要: 【目的】锆矿难消解且传统碱熔法基体干扰显著,为实现多元素准确测定以支撑资源评价,本研究建立了高效、同步的分析方法。【方法】采用过氧化钠碱熔法,确保难溶锆石矿物彻底分解,同时降低传统方法引入的基体干扰风险。采用电感耦合等离子体发射光谱法对试样进行测定。通过优化测试实验,确定锆(Zr)、铪(Hf)、镁(Mg)、铁(Fe)及钛(Ti)等元素较佳分析条件。【结果】结果表明,过氧化钠熔融可完全分解锆矿石。优化条件下,各元素线性关系良好,方法检出限满足地质样品分析要求。通过对实际样品进行分析,测得结果的相对标准偏差均在合理范围内,加标回收率在95.50%~104.90%之间,方法精密度与准确度良好。【结论】本研究建立的过氧化钠碱熔-电感耦合等离子体发射光谱法可实现锆矿石中Zr、Hf、Mg、Fe、Ti的同步快速测定,分析效率高,适用于锆矿石及类似难处理地质样品的批量分析,可为矿产资源综合评价提供技术支撑。

       

      Abstract: Objective To address the challenges of difficult digestion and significant matrix interference associated with conventional alkali fusion methods for zirconium ores, an efficient and simultaneous analytical method was developed to support multi-element accurate determination for resource evaluation. Method A sodium peroxide alkali fusion method was employed to ensure complete decomposition of refractory zirconium minerals while minimizing matrix interference risks inherent to traditional approaches. The resultant solutions were analyzed using Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES). Through systematic optimization of measurement parameters, optimal analytical conditions were established for the determination of zirconium (Zr), hafnium (Hf), magnesium (Mg), iron (Fe), and titanium (Ti). Results The results demonstrated that sodium peroxide fusion achieved complete decomposition of zirconium ores. At the optimized conditions, each analyte exhibited excellent linearity, and the method detection limits met the requirements for geological sample analysis. Analysis of real ore samples yielded relative standard deviations within acceptable ranges and spike recoveries between 95.50% and 104.90%, indicating satisfactory precision and accuracy. Conclusion The established sodium peroxide alkali fusion–ICP-OES method enables the rapid and simultaneous determination of Zr, Hf, Mg, Fe, and Ti in zirconium ores with high analytical efficiency. It is well-suited for batch analysis of zirconium ores and analogous refractory geological materials, thereby providing robust technical support for comprehensive mineral resource assessment.

       

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