Partial least squares regression for problem solving in precious metal analysis by laser induced breakdown spectrometry
Partial least squares regression for problem solving in precious metal analysis by laser induced breakdown spectrometry
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DOI：
10.1039/b000813n
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发表时间：
2000-01-01
影响因子：
3.4
通讯作者：
de Castro, MDL
中科院分区：
文献类型：
--
作者：
Amador-Hernández, J;García-Ayuso, LE;de Castro, MDL
提出了激光诱导击穿光谱法测定金-银-铜合金中金和银的方法。研究了紫外区激光诱导等离子体发射光谱，以表征时间积分数据的光谱信息。使用称为偏最小二乘回归1型的多变量校准方法进行校准和预测。在不采用时间分辨策略的情况下，对金和银的测定获得了满意的结果。由于采用这种化学计量学算法是简化实验装置的一个很好的替代方案，因此提出了一种快速、简单、低成本的方法来测定珠宝首饰中的贵金属。
The application of laser induced breakdown spectrometry for the quantitative determination of gold and silver in Au-Ag-Cu alloys is proposed. Laser induced plasma emission spectra in the ultraviolet region were studied in order to characterize the spectral information from time-integrated data. The multivariate calibration method known as partial least squares regression type 1 was used for calibration and prediction purposes. Satisfactory results were obtained for the determination of gold and silver without temporal resolution strategies. Since the employment of this chemometric algorithm was a good alternative for simplification of the experimental setup, a rapid, simple and low cost method is thus proposed for the determination of noble metals in jewelry pieces.