土壤中Pb、Cr元素激光诱导击穿光谱技术定量分析

采用激光诱导击穿光谱技术(Laser-induced b reakdown spectroscopy,LIBS)对土 壤样品中的Pb和Cr元素进行了分析,以PbI280.17 nm和CrI425.43 nm作为分析线,优化了透 镜到样品的距离(Lens to sample distance,LTSD)、延迟时间对光谱信号强度及信噪比 SNR 的影响。在最佳实验条件下,对两种元素的谱峰强度和元素浓度进行分析,针对外标法 和内标法分别建立了谱线峰值强度、谱线峰值积分面积与对应元素浓度的定标曲线。采用谱 线峰值积分面积法对土壤中重金属Pb和Cr元素的检测,相比于外标法,内标法将Pb和Cr元素 最大相对误差分别从13.56%和12.68%降低到了 6.7%;Pb和Cr元素定标曲线的拟合相关 系数R²分别从0.978和0.975提高到了0.996和0.991。实 验结果表明:采用LIBS技术对土 壤中Pb、Cr元素检测具有可行性,采用谱线峰值积分面积的内标法,可以降低最大相对误差 并提高测量精度。     

TDLAS技术调制参量的优化及实验研究

为了研究激光调制参量对二次谐波信号峰值、信噪比、峰宽、对称性以及信号完整性的影响,基于硬件实验系统与Simulink仿真模型进行分析,验证了理论模拟结果与此硬件系统下信号变化趋势的一致性,同时确定了CO2检测系统的最佳调制参量.通过实验系统对不同体积分数的CO2在1432.04nm处的吸收光谱进行了测量,建立主吸收峰处...     

基于磁场约束下激光诱导击穿光谱技术的重金属检测研究

为提高激光诱导击穿光谱(laser induced breakdown spectroscopy, LIBS)技术定量分析的精度,开展了磁场约束下LIBS技术对土壤中重金属元素检测的研究,并采用多谱线强度归一化内标法进行数据处理。通过比较磁场强度分别为0 T、0.3 T、0.8 T、1.25 T时的光谱特性,得到光谱强度和信噪比(signal-to-noise ratio,SNR)随磁场强度增大而增大,在1.25 T磁场强度时,样品元素Cd和Cu的光谱强度和SNR要比无磁场作用分别增强了34.77%、56.33%和40.83%、74.12%,构建了磁场强度为1.25 T时的Cd和Cu元素定量分析模型。结果显示,相对于传统内标法,采用多谱线强度归一化内标法的元素检测限分别从52.78 mg/kg和49.18 mg/kg降低到23.87 mg/kg和18.06 mg/kg;相关系数分别从0.961 3和0.942 7提高到0.996 9和0.999 3。本实验研究改善了LIBS的光谱特性,提高了定量分析的精度,采用多谱线强度归一化内标法降低了重金属的检出限和测量误差。     

基于平面反射镜约束的激光诱导击穿光谱技术研究北大核心CSCD

为改善激光诱导击穿光谱技术(laser-induced breakdown spectroscopy,LIBS)的光谱特性,搭建了平面反射镜约束下的LIBS检测系统,将平面反射镜放置于样品两侧,分别选取平面反射镜间距7 mm,9 mm,11 mm,13 mm开展实验,得到等离子体辐射强度随平面反射镜间距增加而减小。研究了不同平面反射镜间距对土壤样品中Fe,Al,Pb 3种元素等离子体特性的影响,实验结果显示:相比于无平面反射镜约束,在平面反射镜间距为7 mm时,样品中Fe I,Al I,Pb I等3种元素的信噪比分别提高了29.9%,39.4%,31.0%;计算得到等离子体温度提高了484.54 K,等离子体电子密度提高了2.41×10^(15)cm^(-3)。对有无平面反射镜约束下的Pb元素进行定量分析,得到检测限从86.9 mg/kg降低到51.2 mg/kg,相对标准偏差从7.8%降低到4.6%。可见,利用平面反射镜是改善激光光谱特性的一种简单有效的方法。     

基于激光诱导击穿光谱技术的金属基体辅助测量研究

为了降低土壤中基体效应对激光诱导击穿光谱技术(Laser-induced breakdown spectroscopy,LIBS)定量分析的影响,采用了 Cu、Al、Zn三种金属作为基体辅助LIBS检测土壤中的重金属元素.以Cd I 288.08 nm为特征谱线进行定量分析,得到了三种金属基体的原子谱线图,计算出等离子...     

Research on the measurement of CH4 concentration based on dual-band weighted combination model

A detection system based on supercontinuum laser absorption spectroscopy (SCLAS) technology was built up in this study. The absorption spectra of CH4 in different near-infrared bands were measured based on the SCLAS detection system. Under normal temperature and pressure, the absorption spectra of CH4 at different concentrations in the bands of 1 319—1 339 nm and 1 656—1 676 nm were measured. The linear models of CH4 concentrations in different bands were established. The fitting coefficient (R2) of the models were 0.995 7 and 0.996 1, respectively. In order to improve the concentration inversion ability of the model, the weight distribution of each model was determined by R2 and sum of squared error (SSE) to obtain a new combined model. The maximum relative error of the concentration inversion was reduced from 2.3% to 1.3%. The experimental results show the feasibility of applying the SCLAS technology to CH4 concentration measurement, and it also verifies that the dual-band combination model can improve the accuracy and stability of the CH4 concentration measurement.