新型便携式激光诱导击穿光谱仪器及其应用研究
更新日期:2021-07-08     浏览次数:143
核心提示:摘要针对我国成熟且商业化的便携式激光诱导击穿光谱仪器缺乏,且现有便携设备光谱稳定性和抗干扰性能差的现状,提出并成功开发了一种新型小型化、集成化

摘要 针对我国成熟且商业化的便携式激光诱导击穿光谱仪器缺乏,且现有便携设备光谱稳定性和抗干扰性能差的现状,提出并成功开发了一种新型小型化、集成化的便携式激光诱导击穿光谱仪器。采用该仪器成功实现了对24种金属矿石的准确分类和微合金钢样品中Cr、Ni、Si、Cu、Ti、V元素的精准定量分析,其对24种金属矿石的平均分类准确率达到了95.83%,微合金钢中各元素定量分析模型的决定系数R2分别达到了0.993、0.984、0.996、0.990、0.980、0.999,检出限(LOD,质量分数)分别达到了0.0355%、0.0587%、0.0773%、0.0120%、0.0085%和0.0082%,交叉验证的平均相对误差(ARECV)分别达到了5.20%、11.30%、18.18%、9.63%、9.73%、9.17%。结果表明,所开发仪器具备良好的定性、定量分析性能,其为便携式激光诱导击穿光谱仪器的国产化提供了新的解决方案。 In view of the lack of mature and commercial portable laser-induced breakdown spectroscopy(LIBS)instruments in China,and the poor spectral stability and anti-interference performance of the existing portable LIBS analyzer,a new compact and integrated portable LIBS instrument was developed successfully.With this instrument,the classification of 24 kinds of metallic ores and the accurate quantitative analysis of Cr,Ni,Si,Cu,Ti,and V in microalloy steel samples were achieved successfully.Among them,the average classification accuracy of 24 metallic ores reached 95.83%.The determination coefficient(R2)of the quantitative analysis model of each element reached 0.993,0.984,0.996,0.990,0.980,and 0.999,the limits of detection(LODs)reached 0.0355%,0.0587%,0.0773%,0.0120%,0.0085%and 0.0082%,and the average relative error of cross-validations(ARECVs)reached 5.20%,11.30%,18.18%,9.63%,9.73%,and 9.17%,respectively.The results showed that as-developed instrument had good qualitative and quantitative analysis performance,which provided a new solution for the localization of portable LIBS instruments.
作者 闫久江 李祥友 YAN Jiu-jiang;LI Xiang-you(Wuhan National Laboratory for Optoelectronics,Huazhong University of Science and Technology,Wuhan 430074,China)
出处 《冶金分析》 CAS 北大核心 2020年第12期66-71,共6页 metallurgical Analysis
基金 国家自然科学基金(No.11874167) 中央大学基础研究基金(2019kfyRCPY018)。
关键词 便携式激光诱导击穿光谱技术(LIBS) 系统集成 微合金钢 金属矿石 成分分析 portable laser-induced breakdown spectroscopy(LIBS) system integration microalloy steel metallic ore composition analysis