Analysis of Solution Cathode Glow Discharge Atomic Emission Spectroscopy by the Multiple Linear Regression Method

作者：Zheng Pei-chao; Zhai Xiang; Wang Jin-mei^*; Yang Rui

来源：Spectroscopy and Spectral Analysis, 2017, 37(10): 3209-3213.

DOI：10.3964/j.issn.1000-0593(2017)10-3209-05

• Solution cathode glow discharge-atomic emission spectroscopy
• Metal element determination
• Standard curve method
• Multivariate linear regression method

In recent years, solution cathode glow discharge atomic emission spectroscopy (SCGD-AES), a booming technique for metal element determination in aqueous solution, has a large quantity of notable characteristics, such as working under atmospheric pressure, easy simple injection, little size, small volume, low operating costs, and simultaneous detection of multi-metal elements. According to our previous researches, the concentration of metal elements was relative to not only one of its characteristic spectral lines, but also the other characteristic spectral lines of itself or the characteristic spectral lines of other elements. In order to improve the detection capability and accuracy of solution cathode glow discharge atomic emission spectroscopy, reduce the matrix effect in the complex solution and make full use of spectral information, the multivariate linear regression method was employed to make a quantitative analysis of spectral information. Two characteristic spectral lines of Pb I 368. 35 nm and Pb I 405. 78 nm were employed to establish the binary linear regression equation; compared with standard curve method, the degree of fitting R-2 increased to 0. 998 7 from 0. 986 5, and the relative errors of two test solutions decreased to 14. 20% and 1. 51% from 34. 00% and 29. 00%, respectively. Quaternary linear regression equation using Na I 589. 38 nm, Zn I 213. 80 nm, Pb I 405. 78 nm and Hp were also built to reduce the matrix effect in the complex solution; compared with standard curve method, the degree of fitting R-2 increased to 0. 995 6 from 0. 955 8, and the relative errors of two test solutions decreased to 2. 33% and 3. 57% from 11. 67% and 14. 71%, respectively. The above results indicate that: compared with standard curve method, multivariate linear regression method has the ability to reduce the influence of matrix effect in the complex aqueous solution, take full advantage of spectral information, improve degree of fitting (R-2) and reduce the errors, thus improve the accuracy of metal elements determination with solution cathode glow discharge atomic emission spectroscopy.

• 出版日期2017-10
• 单位重庆邮电大学