基于激光诱导击穿光谱对钛元素自吸收效应的分析

为了减小谱线自吸收效应对样品物质中元素定量分析带来的干扰,提高激光诱导击穿光谱技术(LIBS)对钢铁中微量元素的检测准确度和精度,以攀钢生铁标准样品作为研究对象,选取Fe(Ⅰ)438.4 nm、Fe(Ⅰ)347.6 nm作为内标线,以原子线Ti(Ⅰ)506.5 nm、离子线Ti(Ⅱ)334.9 nm作为分析线,对Ti元素谱线的自吸收效应进行校正,分别建立内定标曲线,并建立了相应的量化模型。先通过指数函数拟合定标曲线来表征自吸收效应,然后对自吸收效应进行校正。自吸收校正后,Ti两组定标曲线的决定系数R²分别从0.882增加到0.994、0.881增加到0.917,分别提高了12.7%和4.0%。定量分析时,2^#和5^#样品用于验证,结果显示两验证样品中Ti预测浓度的相对误差都降低到了10%以内,预测浓度的相对误差分别减少了72.01%、97.10%,测量精度得到明显提高,并且自吸收校正后的预测浓度近似于等于标准浓度。实验表明,通过指数函数拟合定标曲线的方式来量化自吸收效应,并对其进行校正的方法可以提升对Ti的分析精度,方法为...     

基于双脉冲LIBS结合偏最小二乘回归的稀土元素定量分析

激光诱导击穿光谱(LIBS)是一种以激光为激发源的等离子体发射光谱分析技术,已有将其用于稀土元素的定量分析研究,但由于稀土矿基体差异大、元素含量低,定量分析灵敏度和准确度仍有待提高。通过使用单激光分束构造双脉冲LIBS系统,并结合偏最小二乘回归(PLSR)算法实现对稀土矿石样品中的稀土元素La、Dy、Yb和Y的定量分析。结果表明,双脉冲LIBS结合PLSR可建立更加稳定的定标模型,与常规基本定标法相比,La、Dy、Yb和Y元素的相对均方根预测误差(RMSEP)从0.0061 %、0.0037%、0.0045%、0.0280 %降低至0.0044%、0.0016%、0.0029%、0.0134%,平均相对预测误差(AREP)从10.88%、15.27%、6.42%、17.20%降低至6.67%、3.62%、4.10%、7.98%。因此,双脉冲LIBS结合PLSR方法可以有效地提高LIBS对稀土矿石中稀土元素的定量分析能力。     

激光诱导击穿光谱自由定标法分析钛合金中主量元素

采用波长1064 nm Nd-YAG固态激光器对TC11牌号钛合金样品进行烧蚀,中阶梯光栅光谱仪作为分光系统,以时间分辨增强型电荷耦合检测器检测光信号,采用自由定标激光诱导击穿光谱(CF-LIBS)法对钛合金中Ti,Al,Mo及Zr等主量元素进行定量分析。为提高分析方法的准确度,以Ti(II)350.489 nm斯塔克展宽确定等离子体电子数密度,采用萨哈-玻尔兹曼平面法确定等离子体温度,通过CF-LIBS定量分析数学模型及算法,对4块钛合金标准样品中Ti,Al,Mo及Zr进行定量分析,并与标准值进行比较,其相对误差分别为1.6%~2.6%,5.5%~11%,13%~22%及26%~38%。结果表明,CF-LIBS可以快速实现对钛合金中主量元素的半定量分析。     

激光诱导击穿光谱(LIBS)法微损快速检测党参中Pb

中药材重金属元素快速检测对污染监控及人们健康具有重要意义。激光诱导击穿光谱技术(Laser Induced Breakdown Spectroscopy, LIBS)属于一种快速检测方法,研磨压片等预处理方法相对样品消解已有所简化,但破坏了样品的物理性质,且不能满足中药材大宗品种、大批量检测需求。若进一步简化样品预处理,将更加凸显LIBS快速检测的优势。本文建立了激光诱导击穿光谱技术(LIBS)快速微损检测中药材样品重金属元素定标方法。线性相关系数R2为0.7764,建立的微损定标曲线线性可用于切片党参LIBS快速检测,对待测党参切片样品检测平均相对误差为3.74%,与电感耦合等离子体质谱法(ICP-MS)对比,相关系数R2为0.7957,验证了LIBS技术微损检测的可行性。制备的党参参考定标样品可多次重复用于待测样定标和仪器标定等。实验对待测党参样品仅进行切片处理,避免了研磨、压片等预处理,更加充分地体现LIBS快速检测的优势,为LIBS技术应用于中药材重金属元素快检等领域提供了一种新方法。     

共轴双脉冲激光诱导击穿光谱和最小二乘支持向量机法定量分析植物油中铬

利用共轴双脉冲激光诱导击穿光谱( DP-LIBS)技术对植物油(大豆油、花生油和玉米油)中的重金属铬( Cr)含量进行定量分析。采用Ava-Spec双通道高精度光谱仪采集样品的LIBS光谱,然后通过其LIBS谱线图确定了CN分子谱线(421.49 nm)、Ca原子谱线(422.64 nm)及Cr的3条原子谱线(425.39、427.43和428.87 nm),根据上述谱线建立了Cr元素的单变量定标模型和最小二乘支持向量机(LS-SVM)校正模型,并用验证样品对它们进行检验。研究结果表明,对于单变量定标法,大豆油、花生油及玉米油验证样品的平均预测相对误差(PRE)分别为12.57%,12.11%和13.72%;对于三变量LS-SVM法,其定标样品真实值与预测值之间的拟合度 R2分别为0.9785,0.9792和0.9654,验证样品的平均 PRE 分别为8.92%,8.33%和10.98%;对于五变量LS-SVM法(增加两基体元素谱线变量),其定标样品真实值与预测值之间的拟合度R2分别为0.9895,0.9901和0.9855,验证样品的平均PRE分别为7.46%,8.96%和8.95%。由此可知,LS-SVM校正模型性能优于单变量定标法,且五变量LS-SVM校正模型性能优于三变量LS-SVM校正模型;采用LS-SVM法及引入合适的基体元素谱线( CN、Ca)能有效减小定量分析误差,提高LIBS技术对植物油中Cr含量预测的精度。     

基于遗传算法和偏最小二乘法的土壤激光诱导击穿光谱定量分析研究

在空气环境下,采用激光诱导击穿光谱(LIBS)技术对土壤成分进行检测,建立了基于遗传算法(GA)和偏最小二乘法(PLS)的定量分析模型。将配制的58个土壤样品分为定标集、监控集和预测集,对11种组分Mn,Cr,Cu,Pb,Ba,Al2O3,Ca O,Fe2O3,Mg O,Na2O和K2O的含量分别进行预测。结果表明,GA作为一种谱线选择的预处理方法,可以有效减少用于PLS建模的光谱谱线的数目,从而简化模型。对于土壤中的大部分组成成分,GA-PLS模型能够显著改善传统PLS模型的预测能力。以Mn元素为例,浓度预测均方根误差(RMSEP)从0.0215%降低至0.0167%,平均百分比误差(MPE)从8.10%降低至5.20%。本研究为进一步提高土壤的LIBS定量分析准确度提供了方法参考。     

双脉冲激光诱导击穿光谱结合多元定标法定量分析大豆油中的铅

应用双脉冲激光诱导击穿光谱(DP-LIBS)对大豆油中的铅(Pb)含量进行检测。配制9个大豆油样品,采用一定规格圆柱形桐木对样品中Pb进行富集,然后通过Ava-Spec二通道高精度光谱仪采集其LIBS光谱信号。根据样品的LIBS谱线图和美国国家标准技术研究所(NIST)原子光谱数据库,确定选用CaⅡ393.284 nm,CaⅡ396.752 nm,NⅡ399.399 nm和PbⅠ405.685 nm的特征谱线强度作为自变量,得到Pb含量的多元线性回归定量分析模型,并通过方差分析和t检验验证分析模型的可行性。结果表明,采用Pb元素直接定标法得到的平均相对误差约为16%,拟合度R2为0.981 8;采用多元线性回归模型得到的平均相对误差为7.25%,拟合度R2为0.997 1,3个检验样品的相对误差均在合理范围内。采用多元校正分析模型可以充分利用光谱中的有效信息,降低基体效应的影响,从而提高LIBS分析的准确性。     

改进的谱峰拟合光谱标准化方法定量分析废钢中元素

为了解决因设备和环境因素导致激光诱导击穿光谱(LIBS)技术在定量测量时的较高波动性问题,提出了基于改进的沃伊特函数拟合的光谱标准化方法。首先通过高精度激光器采集废钢样品的LIBS光谱数据,然后通过标准等离子体条件(标准等离子温度、电子数密度、待测元素总密度)得到标准光谱强度与实际谱线强度、半峰全宽等因素之间的关系式,并基于近似沃伊特函数对相关的谱峰进行拟合,获得标准化的重要参数,完成对样品的标准化模型的建立。结果表明,将该标准化方法用于废钢中铜、镍、硅、铬、锰元素的定量预测,得到的相关系数(R²)、预测均方根误差(RMSEP)和平均相对误差(ARE)的平均值分别为0.981 4,0.063,6.3%,有效降低了波动影响,增强了分析精度,能够在工业中对废钢元素进行快速检测。     

LIBS结合图像筛选方法提高钢铁中Cu、Cr、Mn元素检测稳定性研究

优质特种钢材和低端粗钢之间的性能差异主要受其构成元素种类及其成分含量的影响,因此,如何快速准确地对物质成分进行定性及定量分析对钢铁产品的质量评估至关重要。针对传统方法难以实现对钢铁合金成分的快速准确检测的难题,采用激光诱导击穿光谱(LIBS)结合等离子体图像信息的方法,通过快速地对不同元素的特征光谱强度与激发生成的等离子体图像进行采集,分析两者之间的相关性,并通过提取的图像特征信息的异常值剔除了部分无效光谱数据,进而实现了对钢铁成分的高精度分析。通过分析延迟时间和激光能量等不同实验条件对元素特征光谱强度及其对应等离子体图像的影响规律,不仅证明了等离子体图像与光谱之间存在相关性,还利用等离子体图像特征信息的局部最优值确定了最优延迟时间、激光能量分别为1 000 ns与50 mJ,并根据图像特征的平均阈值来筛选无效光谱数据。结果表明,图像筛选优化数据后,各元素谱线校准模型的决定系数(R²)分别从原始数据的0.978、0.986、0.957、0.935提升至0.995、0.997、0.968、0.957,且其定标曲线对未知样品元素的预测浓度相对标准偏差(RSD)下降为原...     

多变量回归对大米中Cd元素LIBS分析精度比较

为了验证多变量回归分析提高激光诱导击穿光谱(LIBS)技术对大米中重金属元素Cd分析精度的可行性,在实验室条件下,对市售大米进行40个不同浓度梯度的氯化镉(Cd Cl2·52H2O)溶液浸泡,并对Cd污染大米进行干燥粉碎压片处理。采用优化后的LIBS系统参数采集压片大米中Cd元素的光谱信息,再利用阳极溶出伏安法(ASV)获取大米中Cd元素的真实含量。选取变量在211.03~299.96nm波长范围,运用偏最小二乘(PLS)与最小二乘支持向量机(LSSVM)对LIBS光谱信息与Cd真实浓度进行回归分析。PLS与LSSVM两种模型的定标集相关系数分别为0.9936,0.9992,验证集相关系数分别为0.9866,0.9946,交叉验证均方根误差RM SCEV分别为10.53,11.59,预测均方根误差RM SEP分别为10.52,10.80;定标集平均相对误差分别为17.2%,4.2%,验证集平均相对误差分别为12.1%,8.6%。试验结果表明,PLS与LSSVM两种方法均能对大米中Cd元素进行精确预测,且LSSVM的分析稳定性更好。本工作为大米中重金属Cd的LIBS快速、精确检测提供了理论参考。     

Correction of self-absorption effect in calibration-free laser-induced breakdown spectroscopy by an internal reference method

A simplified procedure for correcting self-absorption effect was proposed in calibration-free laser-induced breakdown spectroscopy (CF-LIBS). In typical LIBS measurement conditions, the plasma produced is often optically thick, especially for the strong lines of major elements. The selection of self-absorption lines destroys the performance of CF-LIBS, and the familiar correction method based on the curve of growth is complex in implementation. The procedure we proposed, named internal reference for self-absorption correction (IRSAC), first chose an internal reference line for each species, then compared other spectral line intensity of the same species with the reference line to estimate the self-absorption degrees of other spectral lines, and finally achieved an optimal correction by a regressive algorithm. The self-absorption effect of the selected reference line can be ignored, since the reference line with high excitation energy of the upper level is slightly affected by the self-absorption. Through the IRSAC method, the points on the Boltzmann plot become more regular, and the evaluations of the plasma temperature and material composition are more accurate than the basic CF-LIBS.     

Calibration-Free Laser-Induced Breakdown Spectroscopy: State of the art

The aim of this paper is offering a critical review of Calibration-Free Laser-Induced Breakdown Spectroscopy (CF-LIBS), the approach of multi-elemental quantitative analysis of LIBS spectra, based on the measurement of line intensities and plasma properties (plasma electron density and temperature) and on the assumption of a Boltzmann population of excited levels, which does not require the use of calibration curves or matrix-matched standards. The first part of this review focuses on the applications of the CF-LIBS method. Quantitative results reported in the literature, obtained in the analysis of various materials and in a wide range of experimental conditions, are summarized, with a special emphasis on the departure from nominal composition values. The second part is a discussion of the simplifying assumptions which lie at the basis of the CF-LIBS algorithm (stoichiometric ablation and complete atomization, thermal equilibrium, homogeneous plasma, thin radiation, detection of all elements). The inspection of the literature suggests that the CF-LIBS method is more accurate in analyzing metallic alloys rather than dielectrics. However, the full exploitation of the method seems to be still far to come, especially for the lack of a complete characterization of the effects of experimental constraints. However, some general directions can be suggested to help the analyst in designing LIBS measurements in a way which is more suited for CF-LIBS analysis.     

A numerical study of expected accuracy and precision in Calibration-Free Laser-Induced Breakdown Spectroscopy in the assumption of ideal analytical plasma

Calibration-Free Laser-Induced Breakdown Spectroscopy (CF-LIBS) has been proposed several years ago as an approach for quantitative analysis of Laser-Induced Breakdown Spectroscopy spectra. Recently developed refinement of the spectral processing method is described in the present work. Accurate quantitative results have been demonstrated for several metallic alloys. However, the degree of accuracy that can be achieved with Calibration-Free Laser-Induced Breakdown Spectroscopy analysis of generic samples still needs to be thoroughly investigated. The authors have undertaken a systematic study of errors and biasing factors affecting the calculation in the Calibration-Free Laser-Induced Breakdown Spectroscopy spectra processing. These factors may be classified in three main groups: 1) experimental aberrations (intensity fluctuations and inaccuracy in the correction for spectral efficiency of a detection system), 2) inaccuracy in theoretical parameters used for calculations (Stark broadening coefficients and partition functions) and 3) plasma non-ideality (departure from thermal equilibrium, spatial and temporal inhomogeneities, optical thickness, etc.). In this study, the effects of experimental aberrations and accuracy of spectral data were investigated, assuming that the analytical plasma is ideal. Departure of the plasma conditions from ideality will be the object of future work. The current study was based on numerical simulation. Two kinds of metallic alloys, iron-based and aluminum-based, were studied. The relative weight of the error contributions was found to depend on the sample composition. For the here-investigated samples, the experimental aberrations contribute to the overall uncertainty on the quantitative results more than theoretical parameters. The described simulation method can be applied to the Calibration-Free Laser-Induced Breakdown Spectroscopy analysis of any other kind of sample.     

Analysis of Soil by Magnetic Field Assisted Calibration-Free Laser Induced Breakdown Spectroscopy (CF-LIBS) and Laser Ablation – Time-of-Flight Mass Spectrometry (LA-TOF-MS)

The qualitative and quantitative analysis of soil samples collected from Sialkot, Pakistan (which contains leather industrial plants), has been performed using laser-induced breakdown spectroscopy (LIBS) and laser ablation time of flight mass spectrometry (LA-TOF-MS). The focused beam of a Q-switched Nd: YAG laser (532?nm) was used to ablate the soil samples in air at atmospheric pressure. The optical emission spectra demonstrate the presence of the spectral lines of Si, Fe, Al, Ca, Ti, K, Cr, Mg, Na, Ba, and Li in all of the samples. The emission lines intensities, electron number densities, and excitation temperatures were significantly enhanced in the presence of an external 0.3 T magnetic field applied perpendicular to the plasma plume. A maximum enhancement factor of approximately 8 was observed in the emission intensity. The emergence of several additional lines has also been detected using the magnetic field-assisted LIBS approach. The elemental composition determined using calibration-free laser-induced breakdown spectroscopy (CF-LIBS), with and without magnetic field, reveals that the external magnetic field only adjusts the laser-generated plasma dynamics without affecting the quantitative analysis of the samples. Importantly, the toxic and heavy elements such as chromium and barium were detected and quantified in all of the soil samples by both of these techniques. The variations in the compositional analysis using CF-LIBS with and without the applied magnetic field and LA-TOF-MS were less than 10%.     

Quantitative determination of element concentrations in industrial oxide materials by laser-induced breakdown spectroscopy

Calibration-free laser-induced breakdown spectroscopy (CF-LIBS) method is employed for quantitative determination of oxide concentrations in multi-component materials. Industrial oxide materials from steel industry are laser ablated in air, and the optical plasma emission is collected by spectrometers and gated detectors. The temperature and electron number density of laser-induced plasma are determined from measured LIBS spectra. Emission lines of aluminium (Al), calcium (Ca), iron (Fe), manganese (Mn), magnesium (Mg), silicon (Si), titanium (Ti), and chromium (Cr) of low self-absorption are selected, and the concentration of oxides CaO, Al₂O₃, MgO, SiO₂, FeO, MnO, TiO₂, and Cr₂O₃ is calculated by CF-LIBS analysis. For all sample materials investigated, we find good match of calculated concentration values (C _CF) with nominal concentration values (C _N). The relative error in oxide concentration, e _r = |C _CF − C _N|/C _N, decreases with increasing concentration and it is e _r ≤ 100% for concentration C _N ≥ 1 wt.%. The CF-LIBS results are stable against fluctuations of experimental parameters. The variation of laser pulse energy over a large range changes the error by less than 10% for major oxides (C _N ≥ 10 wt.%). The results indicate that CF-LIBS method can be employed for fast and stable quantitative compositional analysis of multi-component materials.     

Analytical Analysis of Different Karats of Gold Using Laser Induced Breakdown Spectroscopy (LIBS) and Laser Ablation Time of Flight Mass Spectrometer (LA-TOF-MS)

Laser induced breakdown spectroscopy (LIBS) coupled with a laser ablation time of flight mass spectrometer (LA-TOF-MS) has been developed for discrimination/analysis of the precious gold alloys cartage. Five gold alloys of Karats 18K, 19K, 20K, 22K and 24K having certified composition of gold as 75, 79, 85, 93 and 99.99% were tested and their precise elemental compositions were determined using the laser produced plasma technique. The plasma was generated by focusing beam of a Nd:YAG laser on the target in air and its time integrated emission spectra were registered in the range 250–870 nm. The calibration free LIBS technique (CF-LIBS) was used for the quantitative determination of the constituent elements present in different Karats of gold. Elemental compositions of these gold alloys were also determined using a Laser Ablation time of flight mass spectrometer (LA-TOF-MS). The LIBS limit of detection was calculated from the calibration curves for copper, silver and gold. Results of CF-LIBS and LA-TOF-MS are in excellent agreement with the certified values. It is demonstrated that LIBS coupled with LA-TOF-MS is an efficient technique that can be used to analyze any precious alloys in a fraction of a second.     

Comparative measurements of mineral elements in milk powders with laser-induced breakdown spectroscopy and inductively coupled plasma atomic emission spectroscopy

Mineral elements contained in commercially available milk powders, including seven infant formulae and one adult milk, were analyzed with inductively coupled plasma atomic emission spectrometry (ICP-AES) and laser-induced breakdown spectroscopy (LIBS). The purpose of this work was, through a direct comparison of the analytical results, to provide an assessment of the performance of LIBS, and especially of the procedure of calibration-free LIBS (CF-LIBS), to deal with organic compounds such as milk powders. In our experiments, the matrix effect was clearly observed affecting the analytical results each time laser ablation was employed for sampling. Such effect was in addition directly observed by determining the physical parameters of the plasmas induced on the different samples. The CF-LIBS procedure was implemented to deduce the concentrations of Mg and K with Ca as the internal reference element. Quantitative analytical results with CF-LIBS were validated with ICP-AES measurements and nominal concentrations specified for commercial milks. The obtained good results with the CF-LIBS procedure demonstrate its capacity to take into account the difference in physical parameters of the plasma in the calculation of the concentrations of mineral elements, which allows a significant reduction of the matrix effect related to laser ablation. We finally discuss the way to optimize the implementation of the CF-LIBS procedure for the analysis of mineral elements in organic materials.     

基于马氏距离和稀疏矩阵技术的LIBS煤质灰分分析

为了提高激光诱导击穿光谱(LIBS)定量测量煤质的精度问题,先对原始数据进行预处理,包括异常值剔除、基线校正,谱线筛选,再将LIBS与偏最小二乘回归法(PLSR)结合建立定量模型以应用于煤质灰分的分析。结果表明,经过预处理后训练样品的拟合度(R²)从0.9740提高到0.9841,均方根误差(RMSE)从0.9613降低到了0.7527,预测均方根误差(RMSEP)从2.2731降到2.0017,同时平均绝对误差(MAE)和平均相对误差分别从1.9747、0.1094降低到1.5572、0.0757。研究表明,基于马氏距离(MD)的异常数据剔除算法结合基于稀疏矩阵技术的基线估计与降噪算法(BEADS),能够在一定程度上能够改善数据的稳定性和光谱信噪比,有利于提高数据建模的预测精度。     

Application of calibration-free laser-induced breakdown spectroscopy to radially resolved spectra from a copper-based alloy laser-induced plasma

In this work, the Calibration-Free approach for Laser-Induced Breakdown Spectroscopy (CF-LIBS) was applied for the first time to radially resolved spectra emitted by a laser-induced plasma. The radial profiles of plasma temperature and electron number density were used to calculate the local relative concentration of the elements of interest. We analyzed a set of profiles of the local spectral emission coefficient obtained previously by means of spatial deconvolution of the spectra from a copper-based alloy (Cu 93, Fe 5, Mn 1, Ni 1 wt.%) laser-induced plasma. A spatially integrated spectrum of the same plasma was also analyzed for comparison purpose. The relative abundance of the minor components Fe, Mn and Ni was calculated. The results obtained from the central region of the plasma were closer to the nominal concentrations than those obtained from the spatially integrated spectrum. However, an increasing deviation was observed towards the plasma edge. It is proposed that this deviation could be the result of a gradual departure from Local Thermodynamic Equilibrium (LTE) conditions due the significant decrease of the electron density at the external shells of the plasma.