A quantitative analysis method assisted by image features in laser-induced breakdown spectroscopy
A quantitative analysis method assisted by image features in laser-induced breakdown spectroscopy
复制标题
激光诱导击穿光谱图像特征辅助定量分析方法
DOI：
10.1016/j.aca.2019.07.058
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发表时间：
2019
影响因子：
6.2
通讯作者：
Zeng Xiaoyan
中科院分区：
文献类型：
--
作者：
Yan Jiujiang;Hao Zhongqi;Zhou Ran;Tang Yun;Yang Ping;Liu Kun;Zhang Wen;Li Xiangyou;Lu Yongfeng;Zeng Xiaoyan
The determination accuracy of alloying elements in high alloy steel is generally poor in laser-induced breakdown spectroscopy (LIBS) due to their matrix effect. To solve this problem, an image quantitative analysis (IQA) method was proposed and verified by determining nickel (Ni) in 17 stainless steel samples in this work. The results showed that the coefficient of determination (R2) was increased from 0.9833 of a conventional spectrum quantitative analysis (SQA) method to 0.9996 of the IQA method, and the average relative error of cross-validation (ARECV) and root mean squared error of cross-validation (RMSECV) were decreased from 56.80% and 1.0818 wt% to 15.93% and 0.9866 wt%, respectively. Besides, the determinations of chromium (Cr) and silicon (Si) demonstrated the generalization ability of the IQA. This study provides an effective approach to improving the quantitative performance of LIBS through the combination of image processing and computer vision technology.
