Citation: CAO Fa-Sheng, LIU Yan-Song, HE Zheng-Wei, LIU Xin-Yi, GONG Da-Xing, SUN Chuan-Min. Non-destructive Detection of La Content in Sedimentary Rare Earth Ores Based on Visible-Near Infrared Spectroscopy[J]. Chinese Journal of Analytical Chemistry, ;2021, 49(2): 292-300. doi: 10.19756/j.issn.0253-3820.191717 shu

Non-destructive Detection of La Content in Sedimentary Rare Earth Ores Based on Visible-Near Infrared Spectroscopy

CAO Fa-Sheng ^1,2,3 ,
LIU Yan-Song ^2,3 ,
HE Zheng-Wei ^1,2,3,, ,
LIU Xin-Yi ^1,2,3 ,
GONG Da-Xing ⁴ ,
SUN Chuan-Min ^2,3

1.
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China;
2.
Ministry of Land and Resources Key Laboratory of Tectonic Controlled Mineralization and Oil Reservoir, Chengdu 610059, China;
3.
College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China;
4.
Institute of Multipurpose Utilization of Mineral Resources, Chinese Academy of Geological Sciences, Chengdu 610041, China

Corresponding author: HE Zheng-Wei, hzw@cdut.edu.cn
Received Date: 4 December 2019
Revised Date: 17 December 2020

Fund Project: Supported by the National Natural Science Foundation of China (No.41602120), the China Geology Survey Project (No.DD20189507) and the Science and Technology Fund of Sichuan Provincial Department of Land and Resources Project (No.KJ-2016-7).

This work studied on La element, which hosted in the Sedimentary rare earth deposits of the Permian Xuanwei Formation, Northwest Guizhou Province. Based on the study of rare earth soil spectroscopy, the hyperspectral quantitative estimation and inversion of La element were carried out under GA-ELM model. After a variety of spectral transformations (S-G smoothing, differential, reciprocal, continuum removal), the accuracy differences of the mathematical models established by two methods of selecting characteristic variables (Pearson correlation coefficient and variable importance assessment (CARS, SPA, RF)) were studied and compared. The results showed that there was a non-linear relationship between the content of La in mineral samples and the spectral reflectance. Different spectral transformation methods had different ability to extract the information of La content in soil. Each spectral transformation corresponded to a specific sensitive spectral interval. The accuracy of the inversion model of soil La content based on the method of variable importance evaluation was higher than that based on the correlation coefficient of variables. Among them, the best model was the first-order reciprocal of absorbance. The value of prediction R² reached 0.89, but the RMSE was 36.26 mg/kg, and the mean relative error reached 45.97%, showing a poor effect. The inversion model of characteristic variables extracted by the method of variable importance evaluation and screening showed that CARS-GA-ELM had the best effect, with R², RMSE and MRE reaching 0.99, 11.36 mg/kg, 11.87%, respectively, which could be well used to detect the content of La element. The research provided a new testing method theory for the fast and quantitative inversion of La element in soil on spot, showed a thought for the hyperspectral detection of other rare earth elements, and also provided a theoretical basis for the quantitative inversion and evaluation of regional hyperspectral rare earth resources.
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