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Determination of elemental concentration in geological samples using nanosecond laser-induced breakdown spectroscopy
Journal of Analytical Atomic Spectrometry ( IF 3.1 ) Pub Date : 2017-09-08 00:00:00 , DOI: 10.1039/c7ja00239d
Yang Hu 1, 2, 3, 4 , Zihan Li 1, 2, 3, 4 , Tao Lü 1, 2, 3, 4, 5
Affiliation  

Laser-induced breakdown spectroscopy (LIBS) can be used for measuring the concentrations or ratios of various trace elements in solid samples. A laser pulse with a 532 nm wavelength, 5 ns pulse duration, 100 μm beam spot diameter, and 30 mJ single pulse energy is used for ablating the United States Geological Survey (USGS) series of geological standard samples. The concentrations of iron in different geological samples are obtained using artificial neural networks. In addition, the influence of matrix effects on the measurement error is analyzed. Experimental results reveal that the relative errors of BCR-1G, BHVO-2G, BIR-1G, GSD-1G, and GSE-1G between the measured concentrations and the certified concentrations are 1.86%, 5.73%, 0.27%, 3.86%, and 2.63%, respectively, which indicate that the LIBS method using back propagation artificial neural networks can effectively determine the iron concentrations of USGS geological standard samples. The matrix effects of standard samples are analyzed, which shows that the matrix effects of GSD-1G and GSE-1G are more different than others. As a result, some significant measurement errors in concentration determination resulted from different matrix effects.

中文翻译:

纳秒激光诱导击穿光谱法测定地质样品中的元素浓度

激光诱导击穿光谱法(LIBS)可用于测量固体样品中各种微量元素的浓度或比率。使用具有532 nm波长,5 ns脉冲持续时间,100μm束斑直径和30 mJ单脉冲能量的激光脉冲烧蚀美国地质调查局(USGS)系列地质标准样品。使用人工神经网络可以获得不同地质样品中铁的浓度。另外,分析了矩阵效应对测量误差的影响。实验结果表明,BCR-1G,BHVO-2G,BIR-1G,GSD-1G和GSE-1G在测定浓度和标准浓度之间的相对误差为1.86%,5.73%,0.27%,3.86%和分别为2.63%这表明使用反向传播人工神经网络的LIBS方法可以有效地确定USGS地质标准样品中的铁浓度。对标准样品的基质效应进行了分析,结果表明,GSD-1G和GSE-1G的基质效应差异较大。结果,浓度测定中的一些重大测量误差是由不同的基质效应引起的。
更新日期:2017-11-02
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