LIBS检测钢液Mn元素的实验条件优化

激光诱导击穿光谱(LIBS)技术作为一种快速分析元素组成技术,在冶金分析领域具有广阔的应用前景。实验参数对LIBS检测钢液元素有较大影响,为提高LIBS技术检测的灵敏度需要对系统关键参数激光脉冲能量和ICCD门延时进行优化。本实验以钢液中Mn元素的分析线为研究对象,在激光等离子体满足局部热平衡和光学薄条件下,用Mn元素最大信噪比(SNR)来筛选优化结果。结果表明,通过优化这些实验参数,得到高光谱强度和信噪比的LIBS信号,确定了最佳实验条件,这为LIBS钢液元素定量分析打下了坚实的实验数据基础。     

Distinguish Fritillaria cirrhosa and nonFritillaria cirrhosa using laser-induced breakdown spectroscopy

As traditional Chinese medicines, Fritillaria from different origins are very similar and it is difficult to distinguish them. In this study, the laser-induced breakdown spectroscopy combined with learning vector quantization(LIBS-LVQ) was proposed to distinguish the powdered samples of Fritillaria cirrhosa and non-Fritillaria cirrhosa. We also studied the performance of linear discriminant analysis, and support vector machine on the same data set. Among these three classifiers, LVQ had the highest correct classification rate of 99.17%. The experimental results demonstrated that the LIBS-LVQ model could be used to differentiate the powdered samples of Fritillaria cirrhosa and non-Fritillaria cirrhosa.     

激光诱导击穿光谱检测铁矿石应用进展

激光诱导击穿光谱(LIBS)是一种原子发射光谱,具有实时、原位、微损、远距离、多元素同时分析等优势,在铁矿石检测领域受到关注。由于激光能量波动、基体效应、样品表面形貌等因素,LIBS在铁矿石定性、定量分析方面存在很多问题。化学计量学作为一种数据处理方法,能过滤噪声和提取有效信息,连接光谱与分析结果,对LIBS分析检测起到关键桥梁作用。近10年LIBS在铁矿石检测中的应用逐渐得到重视,LIBS可应用于鉴别铁矿石酸碱性,也可用于分析铁矿石原产地。针对铁矿石中全铁、钙、镁、硅、铝、钾、磷含量以及烧失量的定量分析,LIBS结合多变量回归已开展探索性工作,但工业应用仍不成熟。因此,如何推动LIBS在铁矿石检测领域的应用落地,仍然是一项重大挑战。     

液相激光诱导击穿光谱的成像探测及图像辅助分析方法

激光诱导击穿光谱(LIBS)技术用于液体样品探测时,存在光谱信号稳定性差和重复性差的问题,限制了该技术的实际应用。为了提升液相LIBS的稳定性,基于等离子体直接成像和气泡投影成像探测方法,采集了光谱与后向(Coaxial)、侧向(Lateral)等离子体图像及气泡图像的同步数据,并对光谱强度与3类图像的强度和形态特征之间的相关性进行了分析,结果表明后向等离子体图像的总辐射强度与光谱强度的相关性最高;在此基础上利用后向等离子体图像信息对光谱强度进行校正,光谱强度(Li I 670.8nm)的相对偏差由10.24%降低为4.14%,且LIBS的定量分析性能也有所提升,从而证明了图像辅助的光谱校正方法应用于液相LIBS分析的可行性。     

LASER-INDUCED BREAKDOWN SPECTROSCOPY FOR THE STUDY OF THE PATTERN OF SILICON DEPOSITION IN LEAVES OF SACCHARUM SPECIES

The spatial distribution pattern of silicon in the leaves of three species of Saccharum has been demonstrated by means of laser induced breakdown spectroscopy (LIBS). The in-situ point detection capability of LIBS was used to determine different elements in leaf samples. The concentrations of silicon and other elements in different parts of the leaves were estimated by measuring the intensities of their corresponding atomic lines. Silicon, deposited in the form of phytoliths, was also isolated by using the dry ash technique. LIBS observations showed that in all three Saccharum species, the concentration of silicon was highest in the midrib followed by that found in margin and vein areas. The concentration of silicon in S. officinarum is higher in comparison to S. spontaneum and S. bengalense. Furthermore, the concentration of silicon at the upper surface of the leaf was larger than at the lower surface. The LIBS spectra of Saccharum species also show the presence of spectral lines of Na, Mg, Ca, Fe, and K.     

一种模块式自动化激光诱导击穿光谱测控系统

为提高激光诱导击穿光谱(LIBS)仪对不同型号部 件的兼容性,优化LIBS仪参数和测试流程,研制了一种模 块式的自动化LIBS测控系统。实际测试表明,研制的测控系统可以兼容市场上大部分类型的 LIBS部件,提升了LIBS仪 对不同部件的兼容性及自身的灵活性,其中光谱仪、激光器等核心部件已测试兼容至少3种 不同型号的部 件。此外,设计多层迭代式自动化测试流程,提高了LIBS仪参数优化过程的效率。在延时 时间的优化测 试中,延时时间的优化范围为1.28～18.28μs,步进值分别为1.0、0.5、0.2μs时,与手动测试平台 相比,测试效率分别提升了2.81、3.15、3.72倍。     

多径腔增强激光诱导击穿光谱用于合金中痕量元素的高灵敏检测

激光诱导击穿光谱(LIBS)在合金表面痕量元素分析领域具有重要的潜在应用价值,尽管LIBS甚至是双脉冲LIBS(DP-LIBS)已具有很高的检测灵敏度,但对部分元素的检出限(LOD)仍无法满足某些应用需求。为了进一步降低DP-LIBS的LOD,提出了一种共心多径腔(CMC)增强DP-LIBS(CMC-DP-LIBS)技术,使双脉冲激光中的再加热激光在CMC腔室内经多次反射和会聚来持续加热等离子体,充分利用再加热激光的能量,最终实现光谱信号和检测灵敏度的提升。对锌样品表面Mn元素检测的实验结果显示,CMC-DP-LIBS较正交再加热DP-LIBS的LOD降低了63%,说明了CMC-DP-LIBS确实大幅提升了LIBS的检测灵敏度,提升了LIBS在合金表面痕量元素分析中的应用价值,特别是对样品烧蚀及损伤有特殊需求的应用领域。     

A simple LIBS method for fast quantitative analysis of fly ashes

An evaluation of quantitative analysis of major elements (Ca, Al, Mg, Si and Fe) present in fly ashes was made using a simple and cost effective LIBS system. LIBS parameters were optimized to obtain best sensitivity and repeatability. In this purpose different binders were compared, leading to best sensitivity and mechanical stability when a binder containing silver and cellulose was employed in a 1:1 mass ratio.In order to be able to determine major elements in different fly ashes, a multi-matrix calibration was employed. Four reference materials were employed for calibration and five other fly ashes were selected as sample. Concentrations obtained by LIBS were compared to wet acid digestion and alkali fusion followed by ICP-OES analysis. Ca, Mg, Fe, Si and Al concentrations found using the LIBS method developed were in a good agreement with the values obtained by classical methods.     

激光诱导击穿光谱在塑料回收领域的应用

近年来,塑料产品的过度使用给人类和地球生态系统带来了极大的威胁,如何进行塑料的回收与利用成为当前需要解决的主要问题之一。激光诱导击穿光谱(简称LIBS)是一种新型的原子发射光谱,无需或仅需简单样品前处理,分析速度快、可实现在线实时分析和检测,在塑料材料的回收与利用领域应用前景广阔。文章综述了用于塑料分析的仪器与系统、LIBS技术在塑料分析领域的定性和定量应用,对LIBS技术在塑料分析领域的限制因素与发展趋势进行了总结。     

激光诱导击穿光谱技术与偏最小二乘回归法在煤炭灰分检测中的应用

为了解决激光诱导击穿光谱技术(LIBS)的自吸收效应所导致的测量精度降低问题,将LIBS与偏最小二乘回归法(PLS)结合后建立分析模型以有效应用于煤炭灰分的检测。在传统的PLS模型基础上考虑谱线自吸收的影响,根据自吸收后的谱线强度与浓度之间的非线性关系,增加基于谱线强度的平方项并提出谱线自吸收效应的非线性PLS模型。经过自吸收修正后的PLS模型,预测样品的平均误差从1.696%降至1.504%,最大误差从5.780%降至3.507%,模型的预测性能和泛化能力得到了显著提升。