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Electrochemical and Laser-Induced Breakdown Spectroscopy Signal Fusion for Detection of UCl_3-GdCl_3-MgCl_2 in LiCl-KCl Molten Salt

机译:电化学和激光诱导的击穿光谱信号融合,用于检测LiCl-Kcl熔盐中的UCl_3-Gdcl_3-MgCl_2

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摘要

This study sets out to demonstrate the capability of using electrochemistry and laser-induced breakdown spectroscopy (LIBS) for concentration prediction of multiple species in a molten salt system at 773 K. Samples contained UCl_3 ranging from 0 to 10 wt%, GdCl_3 ranging from 0 to 5 wt%, and MgCl_2 ranging from 0 to 1.5 wt%, with LiCl-KCl eutectic salt as the remainder. Multivariate models were produced using semi-differential cyclic voltammograms (SDCVs) and normalized spectra acquired from LIBS. The SDCV model best predicted UCl_3 levels, while the LIBS model best predicted GdCl_3 and MgCl_2 concentrations. A third model was developed by fusing the SDCV and LIBS signals. This model predicted UCl_3 well and predicted GdCl_3 and MgCl_2 better than previous models. This model was then evaluated by using blind samples. The model predictions correlated well with inductively coupled plasma mass spectroscopy measurements, passing a t-test at a 95% confidence level.
机译:本研究规定,以773K在773k的熔融盐系统中使用电化学和激光诱导的击穿光谱(LIB)在773K的熔融盐系统中浓缩预测的能力。样品含有0至10wt%的UCL_3,GDCL_3范围为0 在5wt%,MgCl_2范围为0至1.5wt%,LiCl-KCl共晶盐作为其余部分。 使用半差分循环伏安图(SDCV)和从LIB获取的标准化光谱产生多变量模型。 SDCV模型最佳预测UCL_3级别,而Libs模型最佳预测GDCL_3和MGCL_2集中。 通过融合SDCV和LIBS信号来开发第三模型。 此模型预测UCL_3井,并预测GDCL_3和MGCL_2比以前的模型更好。 然后使用盲目样品评估该模型。 模型预测与电感耦合等离子体质谱测量相比良好,通过95%置信水平的T检验。

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