South China University of Technology, School of Electric Power, Guangzhou 510640, Guangdong, China.
Appl Spectrosc. 2014;68(6):672-9. doi: 10.1366/13-07278.
Laser-induced breakdown spectroscopy (LIBS) was employed to directly analyze coal particles in the form of descending flow. Coal-particle ablation was performed using a 1064 nm neodymium-doped yttrium aluminum garnet (Nd : YAG) laser at atmospheric conditions. Spectral identification schemes were used to acquire spectra containing all the emission lines of the important elements in coal. These acquired spectra were classified as representative spectra. The background of the line emission plus three times the standard deviation of the background of the representative spectra was chosen as the threshold value. A method using a single line and a method using combined multiple lines (C, 247.8 nm; N, 746.8 nm; Si, 288.2 nm; and Ca, 396.8 nm) were compared to obtain the best results for the spectral identification of coal particle flow. The feasibility of rejecting the partial breakdown spectra was verified using quantitative analysis of fixed carbon in coal.
激光诱导击穿光谱（LIBS）被用于直接分析下降流形式的煤粉颗粒。在大气条件下，使用 1064nm 掺钕钇铝石榴石（Nd：YAG）激光对煤粉颗粒进行烧蚀。光谱识别方案被用于获取包含煤中所有重要元素发射线的光谱。这些获得的光谱被分类为代表性光谱。选择发射线背景加上代表性光谱背景的三倍标准偏差作为阈值。对比了使用单条谱线的方法和使用多条谱线（C，247.8nm；N，746.8nm；Si，288.2nm；Ca，396.8nm）相结合的方法，以获得对煤粉流光谱识别的最佳结果。通过对煤中固定碳的定量分析验证了拒绝部分击穿光谱的可行性。
