摘要
生长猪长期食用高铜饲料将导致机体中毒。试验对猪饲料中Cu元素用单脉冲激光诱导击穿光谱进行分析。研究首先确定了Cu元素的特征分析谱线为CuⅠ324.74 nm;应用单脉冲激光作为激发光源对饲料中铜元素的光谱强度进行采集,为获得最佳的采集参数,当采集延时为1.28μs时,通过改变激光能量的方式得到当激光能量为240 MJ时,采集效果较好;然后以240 MJ激光能量为固定值,通过改变采集延时时间,得到最优的采集延时时间为1.58μs。为了验证最佳参数的选择的准确性,采用全面试验方法,通过分析谱线光谱强度和RSD寻找最佳试验参数,确定了检测饲料中Cu元素的激光诱导击穿光谱最佳试验参数条件为:激光能量240 MJ,采集延时1.58μs。建模集样品中Cu元素真实浓度与光谱强度值的相关拟合系数为0.985 2,预测集样品中Cu元素含量的的预测值与实际值的线性相关系数为0.989 1,平均相对误差为4.77%。文章的试验研究说明对激光诱导击穿光谱系统参数的优化可以提高该技术对目标元素的检测能力。
The growth of pig long-term consumption of high dietary copper will cause the body poison- ing, The test of single pulse laser induced breakdown spectroscopy analyses in pig feed Cu elements. Firstly, the analysis to determine the spectral lines of Cu element is Cu I 324.74 nm; application of single pulse laser as the excitation source to collect the spectral intensity of copper in feed, in order to obtain the optimal parameters of the acquisition, when the acquisition delay of 1.28 μs, by changing the laser energy will get when the laser energy is 240 MJ the acquisition, the effect is good; and then to 240 MJ laser energy to a fixed value, by changing the acquisition delay time, get the optimal acqui- sition delay time is 1.58 μs. In order to verify the optimum selection accuracy, using comprehensive test method, through the analysis of the spectral line spectral intensity and RSD search for optimal test parameters. The Cu element detection in feed laser induced breakdown spectroscopy optimal parameter conditions are as follows：laser energy is 240 MJ and delay time of LIBS is 1.58 μs.The correlation between elements of real coefficient Cu concentration and spectral intensity values in the sample set for the 0.985 2 modeling, prediction of Cu content in the sample set the value of the linear correlation with the actual value of the coefficient is 0.989 1, the average relative error is 4.77%. The optimization of the system parameters can improve the detection ability of the target elements.
作者
刘珊珊
张俊
林思寒
赖曲芳
黎静
刘木华
艾子平
Liu Shanshan Zhang Jun Lin Sihan Lai Qufang Li Jing Liu Muhua Ai Ziping
出处
《饲料工业》
北大核心
2017年第19期50-54,共5页
Feed Industry
基金
江西省教育厅科学技术研究项目[GJJ160369]
关键词
激光诱导击穿光谱
饲料
铜
参数优化
定量分析
laser-induced breakdown spectroscopy
feed
copper
parameter optimization
quantitative analysis
