基于SWIR光谱滇中地区碳酸盐黏土型锂矿黏土矿物与锂含量定量分析
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长安大学

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国家自然科学基金项目(面上项目,重点项目,重大项目)


Clay minerals and lithium content quantitative analysis based on SWIR spectra for carbonate-hosted clay-type lithium deposits, Central Yunnan
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Chang’an University

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    摘要:

    锂是我国重要的新兴战略资源,近年在滇中地区发现的碳酸盐黏土型锂矿具有储量大、品位高、易开采等特点,已成为锂资源勘探的重要方向之一。此类矿产中锂主要以吸附形式赋存于黏土矿物层间,蒙脱石吸附能力最强,伊利石次之。为探究黏土岩中蒙脱石-伊利石与锂元素含量间的耦合关系,本研究采用定量X射线衍射(QXRD)和短波红外光谱(SWIR)技术,通过伊利石-蒙脱石梯度样品的特征分析证实SWIR可实现伊利石和蒙脱石的区分和定量分析,并优选出18个敏感波段;运用偏最小二乘算法,以SWIR数据为自变量对滇中地区32个富锂黏土岩样品进行伊利石和蒙脱石定量分析,验证集中蒙脱石和伊利石含量R2分别为0.89和0.87,定量分析精度较高;以伊利石和蒙脱石定量分析结果作为自变量对锂含量进行定量分析,验证集R2为0.86,表明本方法可实现黏土矿物和锂含量准确分析。SWIR光谱测试方法具有仪器便携、易操作、样品无损等优势,非常适合野外快速测定碳酸盐黏土型锂矿样品黏土矿物成分并估算锂含量,对该类型矿产勘查具有重要意义。

    Abstract:

    Lithium is an important emerging strategic resource in China. In recent years, the discovery of carbonate clay lithium deposits in the central Yunnan region has become an important direction for lithium resource exploration due to its large reserves, high grade, and easy mining characteristics. In such deposits, lithium mainly exists in the form of adsorption in the interlayer of clay minerals, with montmorillonite exhibiting the strongest adsorption capacity followed by illite. In order to investigate the coupling relationship between montmorillonite-illite and lithium content in claystone, this study adopted quantitative X-ray diffraction (QXRD) and short-wave infrared spectroscopy (SWIR) techniques, confirmed that SWIR can achieve the distinction and quantitative analysis of illite and montmorillonite through the characterisation of samples with illite-montmorillonite gradient, and preferred 18 sensitive bands; applied partial least squares algorithm and used the SWIR data as variables for quantitative analysis of illite and montmorillonite in 32 Li-rich claystone samples in central Yunnan, the R2 of montmorillonite and illite in the validation set are 0.89 and 0.87, respectively, and the accuracy of the quantitative analysis is higher; and the results of quantitative analysis of lithium content using the results of quantitative analysis of illite and montmorillonite as variables, the results are more accurate, and the R2 of the validation set is 0.86. The SWIR spectral testing method has the advantages of portable instruments, ease of operation, and non-destructive sampling, making it highly suitable for rapid field determination of clay mineral composition in carbonate clay lithium ore samples and estimation of lithium content, which is of great significance for the exploration of this type of mineral deposit.

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  • 收稿日期:2024-01-25
  • 最后修改日期:2024-04-15
  • 录用日期:2024-04-29
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