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。     

红参的微量元素含量及溶出率研究

采用电感耦合等离子体发射光谱法(ICP-AES)测定了红参中15种微量元素的含量及溶出率。结果显示在红参及其水煎液中Ca，Mg，Fe，Mn，Zn，Sr，Al元素的含量较高。Cr，Al，Mg，Cd，Ni，Fe元素的溶出率较高。     

微波辅助消解ICP-AES法测定小茴香中20种元素

采用微波消解法处理小茴香样品,电感耦合等离子体发射光谱(ICP-AES)测定其中Na、K、Sr、Ca、Mg、P、As、Zn、Pb、Co、Cd、Ni、Ba、Fe、Mn、Cr、Cu、Al、Ti和B 20种常量和微量元素的含量。20种元素的检出限为0.00002~0.00468μg·mL-1,回收率为89.50%~107.89%,相对标准偏差(RSD)均小6%。结果显示,小茴香果实及其嫩叶中除含有人体必需的常量元素K,Na,Ca,Mg,P外,还含有Fe、Zn、Mn、Cr、Co等必需的微量元素和其他元素Ti、B、Ni、Al、Sr、Ba等。     

微波辅助消解-电感耦合等离子体原子发射光谱法(ICP-AES)测定几种血藤中17种元素

建立电感耦合等离子体原子发射光谱法(ICP-AES)测定血藤类中药中K,Ca,Mg,P,Sr,Fe,Mn,Zn,Cu,Co,Cr,Al,Ba,Ni,As,Pb和Cd 17种常量和微量元素含量的分析方法。样品用微波辅助消解,ICP-AES法检测几种血藤中17种元素的含量,方法的检出限为0.000 03~0.009 81μg/mL,加标回收率88.37%~110.00%,相对标准偏差(RSD)均小于5.0%,方法可快速、灵敏、准确测定血藤类中药中多种常量、微量元素的含量。血藤样品中除含有人体必需的常量元素K,Ca,Mg外,还含有Fe,Zn,Mn,Cr,Co等必需的微量元素和其它元素P,Ni,Ba,Al,Sr,Pb,Cd,Ba等。     

支持向量机结台主成分分析辅助激光诱导击穿光谱技术识别鲜肉品种

为提高激光诱导击穿光谱技术(Laser-induced breakdown spectroscopy,LIBS)对鲜肉品种的识别率,采用支持向量机结合主成分分析算法辅助LIBS技术对鲜肉品种进行识别.对鲜肉切片用载玻片压平,采用LIBS技术对鲜肉组织(猪肉、牛肉和鸡肉)表面进行光谱数据的采集,每种鲜肉采集150幅光谱并进行随机排列,取前75幅光谱作为训练集建立模型,后75幅作为测试集测试建模结果.研究选取K、Ca、Na、Mg、Al、H、O等元素的49条归一化谱线数据进行主成分分析,并用所得数据建立支持向量机分类模型.结果表明,通过主成分分析降维,输入变量从49个优化减少到18个,模型建模速度从88.91 s降至55.52 s,提高了支持向量机的建模效率;并使预测集的平均识别率提高到89.11%.本研究为激光诱导击穿光谱技术在鲜肉品种快速分类领域提供了方法和数据参考.     

便携式远程激光诱导击穿光谱系统及其定量分析性能

因高温、辐射等极端环境限制，核领域亟需具备在线快速检测特性的分析仪器。基于小型风冷脉冲激光器与小型光纤光谱仪实现了远程激光诱导击穿光谱技术（LIBS）装置的小型化，对该便携式远程LIBS系统的定量分析性能进行了研究，实现了5 m外样品的元素遥测。在单脉冲激光能量100 mJ，脉冲延时1.0 μs的分析条件下，实现了白水晶、陶瓷及铝合金样品中Mn、Si、Al、Na、Ba、Ca及Cr元素的激发，验证了LIBS技术对材料组分和物料成分的远程探测能力，对铝合金样品的定量分析结果显示，该远程遥测系统对铝合金样品定量测量结果的最大相对平均偏差为12%，具备执行核领域快速分析场景下的半定量检测能力。     

X射线荧光光谱扩展基本参数法测定不锈钢中的多种成分

针对多种类不锈钢多元素成分解析问题,应用X射线荧光光谱分析软件UniQuant,采用扩展基本参数法对多元不锈钢、双相不锈钢进行光谱干扰校正和基体校正,重新设定和优化多元不锈钢基体元素的测试条件,计算背景因子、杂质因子、谱线灵敏度系数和光谱重叠系数,测定Si、Mn、S、P、Ni、Cr、Cu、Mo、V、Al、Ti、Nb、Co、Ta、Fe的相对标准偏差在0.04%~3.8%,Ca、Zr、W、As、Sb、Sn的相对标准偏差在5.4%~20.3%,未知样品检测值与认定值比对结果相当理想,Ni、Cr的平均偏差小于0.05%,可以用很少标准样品实现各类型不锈钢多元素成分准确检测,检测范围宽,适用性好。     

微波辅助消解ICP-AES法测定几种血藤中17种元素*

目的 建立电感耦合等离子体发射光谱(ICP-AES)法测定血藤类中药中K、Ca、Mg、P、Sr、Fe、Mn、Zn、Cu 、Co、Cr、Al 、Ba、Ni、As、Pb和Cd17种常量和微量元素含量的测定方法。方法 采用微波辅助消解样品,电感耦合等离子体发射光谱(ICP-AES)法测定几种血藤中17种元素的含量。 结果 该方法的检出限为0.00003~0.00981μg/mL,回收率88.37% ~110. 00%,相对标准偏差( RSD) 均小于5.0%。结论 该方法可快速、灵敏、准确测定血藤类中药中多种常量、微量元素的含量。血藤样品中除含有人体必需的常量元素K、Ca、Mg外,还含有Fe、Zn、Mn、Cr、Co等必需的微量元素和其它元素P、Ni、Ba、Al、Sr、Pb、Cd、Ba等。     

微波消解-高分辨电感耦合等离子体质谱(HR-ICP-MS)法测定原油中22种微量元素

准确测定原油中微量元素含量,对研究原油地球化学,揭示原油原产地信息,具有重要意义。本文采用HNO3微波消解原油样品,优化了样品质量、消解试剂、消解程序等微波消解条件,研究了原油中B、Mg、Al、P、Ti、Ca、V、Cr、Mn、Fe、Co、Ni、Cu、Zn、Ga、As、Sr、Mo、Cd、Sn、Ba、Pb共22种微量元素在低、中、高分辨率下的质谱干扰及校正方法,采用高分辨测定Ca,中分辨测定P、V、Cr、Mn、Fe、Ni、Cu、Cd、Co、Sr,低分辨率模式测定其余元素,建立微波消解-高分辨电感耦合等离子体质谱测定原油22种元素的方法。在优化的实验条件下,22种元素的线性相关系数均大于0.999,方法检出限为0.0002μg/g~0.07μg/g。选择原油多元素均质标准品（ConostanS-21）进行方法验证,B、Mg、Al、P、Ti、Ca、V、Cr、Mn、Fe、Ni、Cu、Zn、Mo、Cd、Sn、Ba、Pb元素测定结果的相对标准偏差为0.20%~2.80%,测定值与标准值基本一致;选择巴西原油、安哥拉原油、喀麦隆原油、尼日利亚原油进行Co、Ga、As、Sr元素加标回收试验,加标回收率为95.3%~104.3%,测定结果的相对标准偏差为0.2%~2.3%。选取巴西原油、安哥拉原油、喀麦隆原油、尼日利亚原油进行22种元素测定,分析了不同产地原油的元素含量差异。本方法能够应用于原油中多种微量元素的同时测定,灵敏度高,选择性好,检出限低,结果准确可靠,可为原油地球化学研究提供技术支持。     

ICP-AES法测定新疆黑种草子,紫苏子,香青兰中微量元素的含量

本文建立了一种电感耦合等离子体发射光谱法(ICP-AES)测定植物药中微量元素含量的方法.采用等离子体发射光谱法(ICP-AES)测定新疆黑种草子,紫苏子,香青兰中的微量元素.新疆黑种草子,紫苏子,香青兰中含有Cu,Al,Mn,Zn,Fe,Ca,Mg,Ge,Ni,Cr,Sr,Se,Co等15种微量元素.特别是Al,Mg,Fe,Mn,Cu,Zn的含量较高.方法回收率为93.1%～106.0%.等离子体发射光谱法(ICP-AES)可同时测定植物药中多种元素.     

Detection of heavy metals in Arabian crude oil residue using laser induced breakdown spectroscopy

Laser induced breakdown spectroscopy (LIBS) was applied for the elemental analysis of Arabian crude oil residue samples. The spectra due to trace elements such as Ca, Fe, Mg, Cu, Zn, Na, Ni, K and Mo were recorded using this technique. The dependence of time delay and laser beam energy on the elemental spectra was also investigated. Prior to quantitative analysis, the LIBS system was calibrated using standard samples containing these trace elements. The results achieved through this method were compared with conventional technique like inductively coupled plasma.     

Discrimination of Genetically Very Close Accessions of Sweet Orange (Citrus sinensis L. Osbeck) by Laser-Induced Breakdown Spectroscopy (LIBS)

The correct recognition of sweet orange (Citrus sinensis L. Osbeck) variety accessions at the nursery stage of growth is a challenge for the productive sector as they do not show any difference in phenotype traits. Furthermore, there is no DNA marker able to distinguish orange accessions within a variety due to their narrow genetic trace. As different combinations of canopy and rootstock affect the uptake of elements from soil, each accession features a typical elemental concentration in the leaves. Thus, the main aim of this work was to analyze two sets of ten different accessions of very close genetic characters of three varieties of fresh citrus leaves at the nursery stage of growth by measuring the differences in elemental concentration by laser-induced breakdown spectroscopy (LIBS). The accessions were discriminated by both principal component analysis (PCA) and a classifier based on the combination of classification via regression (CVR) and partial least square regression (PLSR) models, which used the elemental concentrations measured by LIBS as input data. A correct classification of 95.1% and 80.96% was achieved, respectively, for set 1 and set 2. These results showed that LIBS is a valuable technique to discriminate among citrus accessions, which can be applied in the productive sector as an excellent cost–benefit tool in citrus breeding programs.     

Parametric study of a fiber-optic laser-induced breakdown spectroscopy probe for analysis of aluminum alloys

In the present work we demonstrate a fiber-optic laser-induced breakdown spectroscopy (FO LIBS) system for delivering laser energy to a sample surface to produce a spark as well as to collect the resulting radiation from the laser-induced spark. In order to improve the signal/background (S/B) ratio, various experimental parameters, such as laser energy, gate delay and width, detector gain, lenses of different focal lengths and sample surface, were tested. In order to provide high reliability and repeatability in the analysis, we also measured plasma parameters, such as electron density and plasma temperature, and determined their influence on the measurement results. The performance of FO LIBS was also compared with that of a LIBS system that does not use a fiber to transmit the laser beam. LIBS spectra with a good S/B were recorded at 2-μs gate delay and width. LIBS spectra of six different Al alloy samples were recorded to obtain calibration data. We were able to obtain linear calibration data for numerous elements (Cr, Zn, Fe, Ni, Mn, Mg and Cu). A linear calibration curve for LIBS intensity ratio vs. concentration ratio reduces the effect of physical variables (i.e. shot-to-shot power fluctuation, sample-to-surface distance, and physical properties of the samples). Our results reveal that this system may be useful in designing a high-temperature LIBS probe for measuring the elemental composition of Al melt.     

Double pulse laser-induced breakdown spectroscopy of explosives: Initial study towards improved discrimination

Detecting trace explosive residues at standoff distances in real-time is a difficult problem. One method ideally suited for real-time standoff detection is laser-induced breakdown spectroscopy (LIBS). However, atmospheric oxygen and nitrogen contributes to the LIBS signal from the oxygen- and nitrogen-containing explosive compounds, complicating the discrimination of explosives from other organic materials. While bathing the sample in an inert gas will remove atmospheric oxygen and nitrogen interference, it cannot practically be applied for standoff LIBS. Alternatively, we have investigated the potential of double pulse LIBS to improve the discrimination of explosives by diminishing the contribution of atmospheric oxygen and nitrogen to the LIBS signal. These initial studies compare the close-contact (< 1 m) LIBS spectra of explosives using single pulse LIBS in argon with double pulse LIBS in atmosphere. We have demonstrated improved discrimination of an explosive and an organic interferent using double pulse LIBS to reduce the air entrained in the analytical plasma.     

Multivariate analysis of laser-induced breakdown spectroscopy chemical signatures for geomaterial classification

A large suite of natural carbonate, fluorite and silicate geological materials was studied using laser-induced breakdown spectroscopy (LIBS). Both single- and double-pulse LIBS spectra were acquired using close-contact benchtop and standoff (25 m) LIBS systems. Principal components analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were used to identify the distinguishing characteristics of the geological samples and to classify the materials. Excellent discrimination was achieved with all sample types using PLS-DA and several techniques for improving sample classification were identified. The laboratory double-pulse LIBS system did not provide any advantage for sample classification over the single-pulse LIBS system, except in the case of the soil samples. The standoff LIBS system provided comparable results to the laboratory systems. This work also demonstrates how PCA can be used to identify spectral differences between similar sample types based on minor impurities.     

Characterization of nano FeIII-tannic acid modified polyacrylate in controlled-release coated urea by Fourier transform infrared photoacoustic spectroscopy and laser-induced breakdown spectroscopy

Polyacrylate polymer (PA) has been widely applied in coating products for decades. Recently, it has been used in controlled-release fertilizers. Nano Fe^III-tannic acid modified PA (PA-Fe) provides a better nutrient controlled release performance than conventional PA. In this work, a preliminary database of molecular and elemental information about the polymer was obtained using FTIR-PAS (Fourier transform infrared photoacoustic spectroscopy) and LIBS (laser-induced breakdown spectroscopy), respectively. The PA-Fe polymer contained more hydrophobic groups (–CH₃) and fewer hydrophilic groups (–COOR, –COOH) than PA. More elements were detected for PA-Fe than PA. LIBS was useful to identify and classify PA and PA-Fe samples using principal component analysis. The combination of spectroscopic results and a film formation process model explained the lower nutrient release rate of PA-Fe. These results showed the strong analytical capabilities of FTIR-PAS combined with LIBS for identifying and characterizing modified PA.     

Detection of trace concentrations of helium and argon in gas mixtures by laser-induced breakdown spectroscopy

We report what we believe to be the first demonstration of the detection of trace quantities of helium and argon in binary and ternary gas mixtures with nitrogen by laser-induced breakdown spectroscopy (LIBS). Although significant quenching of helium transitions due to collisional deactivation of excited species was observed, it was found that losses in analytical sensitivity could be minimized by increasing the laser irradiance and decreasing the pressure at which the analyses were performed. In consequence, limits of detection of parts-per-million and tens of parts-per-million and linear dynamic ranges of several orders of magnitude in analyte concentration were obtained. The results of this study suggest that LIBS may have potential applications in the detection of other noble gases at trace concentrations.     

Multivariate classification of pigments and inks using combined Raman spectroscopy and LIBS

The authenticity of objects and artifacts is often the focus of forensic analytic chemistry. In document fraud cases, the most important objective is to determine the origin of a particular ink. Here, we introduce a new approach which utilizes the combination of two analytical methods, namely Raman spectroscopy and laser-induced breakdown spectroscopy (LIBS). The methods provide complementary information on both molecular and elemental composition of samples. The potential of this hyphenation of spectroscopic methods is demonstrated for ten blue and black ink samples on white paper. LIBS and Raman spectra from different inks were fused into a single data matrix, and the number of different groups of inks was determined through multivariate analysis, i.e., principal component analysis, soft independent modelling of class analogy, partial least-squares discriminant analysis, and support vector machine. In all cases, the results obtained with the combined LIBS and Raman spectra were found to be superior to those obtained with the individual Raman or LIBS data sets.     

Development of a mobile system based on laser-induced breakdown spectroscopy and dedicated to in situ analysis of polluted soils

Principal Components Analysis (PCA) is successfully applied to the full laser-induced breakdown spectroscopy (LIBS) spectra of soil samples, defining classes according to the concentrations of the major elements. The large variability of the LIBS data is related to the heterogeneity of the samples and the representativeness of the data is finally discussed.