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利用激光诱导击穿光谱法(LIBS)对污染土壤中的铬、铜、铅、钒和锌进行监测。

Monitoring of Cr, Cu, Pb, V and Zn in polluted soils by laser induced breakdown spectroscopy (LIBS).

作者信息

Dell'Aglio Marcella, Gaudiuso Rosalba, Senesi Giorgio S, De Giacomo Alessandro, Zaccone Claudio, Miano Teodoro M, De Pascale Olga

机构信息

IMIP-CNR-Bari, via Amendola 122/D, 70126, Bari, Italy.

出版信息

J Environ Monit. 2011 May;13(5):1422-6. doi: 10.1039/c0em00780c. Epub 2011 Mar 17.

Abstract

Laser Induced Breakdown Spectroscopy (LIBS) is a fast and multi-elemental analytical technique particularly suitable for the qualitative and quantitative analysis of heavy metals in solid samples, including environmental ones. Although LIBS is often recognised in the literature as a well-established analytical technique, results about quantitative analysis of elements in chemically complex matrices such as soils are quite contrasting. In this work, soil samples of various origins have been analyzed by LIBS and data compared to those obtained by Inductively Coupled Plasma-Optical Emission Spectroscopy (ICP-OES). The emission intensities of one selected line for each of the five analytes (i.e., Cr, Cu, Pb, V, and Zn) were normalized to the background signal, and plotted as a function of the concentration values previously determined by ICP-OES. Data showed a good linearity for all calibration lines drawn, and the correlation between ICP-OES and LIBS was confirmed by the satisfactory agreement obtained between the corresponding values. Consequently, LIBS method can be used at least for metal monitoring in soils. In this respect, a simple method for the estimation of the soil pollution degree by heavy metals, based on the determination of an anthropogenic index, was proposed and determined for Cr and Zn.

摘要

激光诱导击穿光谱法(LIBS)是一种快速的多元素分析技术,特别适用于对固体样品(包括环境样品)中的重金属进行定性和定量分析。尽管LIBS在文献中常被认为是一种成熟的分析技术,但关于土壤等化学复杂基质中元素定量分析的结果却大相径庭。在这项工作中,用LIBS分析了各种来源的土壤样品,并将数据与电感耦合等离子体发射光谱法(ICP-OES)获得的数据进行了比较。将五种分析物(即铬、铜、铅、钒和锌)中每种选定谱线的发射强度相对于背景信号进行归一化,并绘制为先前由ICP-OES测定的浓度值的函数。数据显示所有绘制的校准曲线都具有良好的线性,并且通过相应值之间获得的令人满意的一致性证实了ICP-OES和LIBS之间的相关性。因此,可以至少将LIBS方法用于土壤中的金属监测。在这方面,提出了一种基于人为指数测定的简单方法来估算土壤重金属污染程度,并针对铬和锌进行了测定。

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