光电子技术, 2018, 38 (4): 243, 网络出版: 2019-01-15  

激光诱导击穿光谱法对镍基合金INCO713C定量分析的多元素修正内标模型

A Multi-element Correction Internal Standard Model for Quantitative Analyses by Laser Induced Breakdown Spectroscopy
李欣 1,2赵天卓 1,2,3连富强 1,3刘洋 1,3钟奇秀 1,2孙辉 1,2,3
作者单位
1 中国科学院光电研究院, 北京 100094
2 中国科学院大学, 北京 100049
3 国家半导体泵浦激光工程技术研究中心, 北京 100094
摘要
INCO713C是一种航空工业中常使用的镍基合金, 含有12种常量元素, 9种痕量元素,其成分较为复杂。采用激光诱导击穿光谱法对其进行分析时, 矩阵效应较为显著, 采用传统标定方法难以得到理想预测结果。文章提出了一种多元素修正内标法, 对镍基合金INCO713C中的Mn进行定量分析,与内标法、多谱线内标法、传统多元定标法进行对比, 建立的标定曲线的相关系数达到0.999, 对四个未知样品预测结果的相对标准偏差降低到了6.16%、5.49%、3.63%、2.00%, 均方根误差降低到4.3%、4.4%、2.9%、2.6%, 证明了多元素修正内标法对于补偿镍基合金INCO713C中矩阵效应的影响具有一定的效果, 对于定量分析的精密度和准确性有一定提升。
Abstract
INCO713C is a nickel-based alloy commonly used in the aviation industry. It contains 12 kinds of constant elements and 9 kinds of trace elements, and its composition is more complicated. When laser-induced breakdown spectroscopy was used to analyze it, the relatively effect was significant, and it was difficult to obtain ideal prediction results using traditional calibration methods. A multi-element modified internal standard method was proposed to quantitatively analyze Mn in nickel-base alloy INCO713C and it was compared with internal standard method, multi-line internal standard method, and traditional multivariate calibration method to establish the calibration curve. The coefficient reached 0.999, and the relative standard deviations of the prediction results of the four unknown samples were reduced to 6.16%, 5.49%, 3.63%, 2.00%, and the root mean square error was reduced to 4.3%, 4.4%, 2.9%, 2.6%. Research shows that the elemental correction internal standard method has a certain effect on compensating the matrix effect in the nickel-base alloy INCO713C, and has certain improvement in the precision and accuracy of the quantitative analysis.

李欣, 赵天卓, 连富强, 刘洋, 钟奇秀, 孙辉. 激光诱导击穿光谱法对镍基合金INCO713C定量分析的多元素修正内标模型[J]. 光电子技术, 2018, 38(4): 243. LI Xin, ZHAO Tianzhuo, LIAN Fuqiang, LIU Yang, ZHONG Qixiu, SUN Hui. A Multi-element Correction Internal Standard Model for Quantitative Analyses by Laser Induced Breakdown Spectroscopy[J]. Optoelectronic Technology, 2018, 38(4): 243.

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