中国激光, 2019, 46 (7): 0711002, 网络出版: 2019-07-11
基底辅助激光诱导击穿光谱技术检测润滑油中的金属元素 下载: 1079次
Detection of Metallic Elements in Lubricating Oil by Substrate-Assisted Laser-Induced Breakdown Spectroscopy
光谱学 激光诱导击穿光谱 定量分析 润滑油磨损金属 定标曲线 spectroscopy laser-induced breakdown spectroscopy quantitative analysis wear metallic elements in lubricating oil calibration curve
摘要
采用基底辅助激光诱导击穿光谱技术,以标准油中的Mg、Ti、Ni与Cr为目标元素进行定量分析。选定Mg II 279.55 nm、Ti I 334.94 nm、Ni I 352.45 nm与Cr I 425.44 nm为目标元素的定量分析谱线进行分析。考察样品预处理静置时间、样品油膜平均厚度、探测延时和激光脉冲能量对Mg、Ti、Ni与Cr元素光谱信号强度与信背比的影响。在最优的实验条件下,利用6个标准油样品建立了标准曲线定标模型,得出Mg、Ti、Ni与Cr的检出限分别为3.10,8.17,18.79,6.10 μg·g
-1。基于定标曲线,预测了另外5个标准油样品中Mg、Ti、Ni与Cr的质量比,相对误差分别为7.43%、8.91%、13.66%与10.40%。
Abstract
Quantitative analysis of target elements Mg, Ti, Ni, and Cr in standard oil was performed using substrate-assisted laser-induced breakdown spectroscopy. Mg II 279.55 nm, Ti I 334.94 nm, Ni I 352.45 nm, and Cr I 425.44 nm were selected as the spectral lines of the target elements in the quantitative analysis. The effects of sample pretreatment time, average sample oil film thickness, detection delay, and energy of laser pulse on the spectral signal intensity and signal-to-background ratio of Mg, Ti, Ni, and Cr were investigated. Under the optimal experimental conditions, the standard curve calibration model was established using six standard oil samples. The limits of detection of Mg, Ti, Ni, and Cr were 3.10, 8.17, 18.79, and 6.10 μg·g
-1, respectively. The mass ratios of Mg, Ti, Ni, and Cr in other five standard oil samples were predicted by the calibration curve, and the relative errors were 7.43%, 8.91%, 13.66%, and 10.40%, respectively.
郑培超, 谭癸宁, 王金梅, 赵怀冬, 刘冉宁. 基底辅助激光诱导击穿光谱技术检测润滑油中的金属元素[J]. 中国激光, 2019, 46(7): 0711002. Peichao Zheng, Guining Tan, Jinmei Wang, Huaidong Zhao, Ranning Liu. Detection of Metallic Elements in Lubricating Oil by Substrate-Assisted Laser-Induced Breakdown Spectroscopy[J]. Chinese Journal of Lasers, 2019, 46(7): 0711002.