激光与光电子学进展, 2017, 54 (5): 053002, 网络出版: 2017-05-03
单脉冲激光诱导击穿光谱定量分析猪饲料中铜元素含量
Quantitative Analysis of Copper in Pig Feed by Single Pulse Laser Induced Breakdown Spectroscopy
光谱学 激光诱导击穿光谱 猪饲料 铜元素 多元非线性回归 spectroscopy laser-induced breakdown spectroscopy pig feed copper element multi-variable nonlinear regression
摘要
基于单脉冲激光诱导击穿光谱(LIBS)检测技术, 以Cu在324.74 nm处和Ca在317.95 nm处的两条特征谱线强度作为多元非线性定标的自变量, 饲料中Cu含量作为因变量, 对猪饲料中Cu元素的含量进行了定量分析。比较了单变量分析方法、交叉降维近似多元非线性模型、多元二次非线性模型和平方降维近似多元非线性模型的分析结果, 并对验证样品进行预测分析。结果表明, 交叉降维近似多元非线性模型与其他三种分析方法相比预测效果更好, 建模集预测浓度与实际浓度的相关拟合系数为0.9799, 预测集的相关拟合系数为0.8597, 平均相对误差为8.12%。
Abstract
The Cu content in pig feed is quantitatively analyzed based on the single pulse laser-induced breakdown spectroscopy (LIBS), where the intensities of two characteristic spectral lines of Cu at the wavelength of 324.74 nm and Ca at the wavelength of 317.95 nm are used as the independent variables for the multi-variable nonlinear regression, and the Cu content in feed is used as the dependent variable. The analysis results from the single variable method, the cross dimension-reduction nonlinear multi-variable approximation model, the nonlinear multi-variable quadric model and the square dimension-reduction nonlinear multi-variable approximation model are compared, and the samples for validation are predicted and analyzed. The results show that the cross dimension-reduction nonlinear multi-variable approximation model has the best prediction performance than the other methods in which the fitting correlation coefficient between the predicted concentration and the actual concentration is 0.9799 for the modeling set and 0.8597 for the prediction set, and the average relative error is 8.12%.
刘珊珊, 林思寒, 张俊, 黎静, 刘木华, 张文功. 单脉冲激光诱导击穿光谱定量分析猪饲料中铜元素含量[J]. 激光与光电子学进展, 2017, 54(5): 053002. Liu Shanshan, Lin Sihan, Zhang Jun, Li Jing, Liu Muhua, Zhang Wengong. Quantitative Analysis of Copper in Pig Feed by Single Pulse Laser Induced Breakdown Spectroscopy[J]. Laser & Optoelectronics Progress, 2017, 54(5): 053002.