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Interference correction for laser-induced breakdown spectroscopy using a deconvolution algorithm
Journal of Analytical Atomic Spectrometry ( IF 3.4 ) Pub Date : 2020-02-04 , DOI: 10.1039/c9ja00383e
Kun Liu 1, 2, 3, 4 , Ran Zhou 1, 2, 3, 4 , Wen Zhang 1, 2, 3, 4 , Zhiyang Tang 1, 2, 3, 4 , Jiujiang Yan 1, 2, 3, 4 , Ming Lv 1, 2, 3, 4 , Xiangyou Li 1, 2, 3, 4 , Yongfeng Lu 1, 2, 3, 4 , Xiaoyan Zeng 1, 2, 3, 4
Affiliation  

The interference of the continuum background and overlapping peaks on laser-induced breakdown spectroscopy (LIBS) was considered as one of the major obstacles in LIBS quantitative analysis. To minimize the impact, an algorithm based on an iterative discrete wavelet transform (IDWT) and Richardson–Lucy deconvolution (RLD) was developed. The optimization of IDWT and RLD was implemented. The broadening could be compressed by 5 times using RLD, approximately. After data processing, the R2 values increased from 0.973 to 0.993 for Mn in iron alloys and from 0.816 to 0.985 for Fe in aluminum alloys, respectively. Meanwhile, the RMSECV decreased from 0.057 wt% to 0.032 wt% and from 0.101 wt% to 0.041 wt%, respectively. This work demonstrates that the IDWT combined with the RLD can be a powerful and potential algorithm for spectral interference correction.

中文翻译:

使用反卷积算法对激光诱导击穿光谱进行干涉校正

连续背景和重叠峰对激光诱导击穿光谱法(LIBS)的干扰被认为是LIBS定量分析的主要障碍之一。为了将影响降到最低,开发了一种基于迭代离散小波变换(IDWT)和理查森-露西反卷积(RLD)的算法。实施了IDWT和RLD的优化。大约可以使用RLD将展宽压缩5倍。经过数据处理后,R 2铁合金中的Mn值从0.973增加到0.993,铝合金中的Fe的值从0.816增加到0.985。同时,RMSECV分别从0.057重量%降低至0.032重量%和从0.101重量%降低至0.041重量%。这项工作证明IDWT与RLD结合可以成为一种强大且潜在的频谱干扰校正算法。
更新日期:2020-02-04
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