PEI Hong-liang,ZHANG Jia-xu,LIN Qing-yu,ZHOU Jia-hong,YANG Yan-ting,LI Qiang,DUAN Yi-xiang.Laser-induced Breakdown Spectroscopy for the Rapid Detection of Spodumene[J].Journal of Instrumental Analysis,2026,45(10):2253-2258.
PEI Hong-liang,ZHANG Jia-xu,LIN Qing-yu,ZHOU Jia-hong,YANG Yan-ting,LI Qiang,DUAN Yi-xiang.Laser-induced Breakdown Spectroscopy for the Rapid Detection of Spodumene[J].Journal of Instrumental Analysis,2026,45(10):2253-2258.DOI: 10.12452/j.fxcsxb.26021402.
Laser-induced Breakdown Spectroscopy for the Rapid Detection of Spodumene
With the increasing demand for lithium products,rapid and precise quantitative analysis of spodumene composition is essential for optimizing mineral resource development and reducing industrial energy consumption. As an emerging chemical analysis technique,laser-induced breakdown spectroscopy(LIBS)offers significant advantages such as environmental friendliness,rapid,real-time,and in situ multi-element detection. In this study,a rapid LIBS measurement system was developed to obtain the spectra of spodumene samples. Multiple atomic spectral lines of Li were analyzed. The atomic line LiⅠ at 610.354 nm exhibited pronounced “peak shift” due to matrix interference from Ca. While the atomic line of LiⅠ at 670.776 nm suffered from severe self-absorption. Consequently,the LiⅠ line at 812.623 nm was selected as the optimal spectral line for quantitative analysis. To enhance spectral stability,full-spectrum total area normalization was employed,significantly reduced the relative standard deviation(RSD) to below 3.0%. Quantitative analysis revealed a robust linear correlation between Li₂O content and Li line intensity,with a coefficient of determination(
R
2
) of 0.993. Furthermore,prediction results showed that the RSD values for the six predictions of each sample were 3.0%,1.1%,and 1.9%,respectivel
y. The overall root-mean-square error(RMSE) was 0.062. The absolute error within 0.10% and the relative error was within 9.0%. These results indicate that the high predictive stability and accuracy of the calibration model. It demonstrates significant potential for rapid detection and precise quantification of mineral samples,holding great importance for promoting the efficient development of mineral resources and advancing green industrial transformation.
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