Qualitative and quantitative investigation of chromium-polluted soils by laser-induced breakdown spectroscopy combined with neural networks analysis

Sirven, Jean-Baptiste; Bousquet, Bruno; Canioni, Lionel; Sarger, L.; Tellier, S.; Potin‐Gautier, Martine; Hécho, Isabelle Le

doi:10.1007/s00216-006-0322-8

Cited by 152 publications

(89 citation statements)

References 19 publications

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“…Martin et al 348 Sirven et al 349 discussed the used of LIBS for the analysis of 3 chromium-doped soils. In this work two chemometric methods, PCA and NNA, were used to discriminate soils on the basis of their LIBS spectra.…”

Section: Chemometrics Applicationsmentioning

confidence: 99%

Laser Induced Breakdown Spectroscopy

Pasquini¹,

Cortez²,

Silva³

et al. 2007

J. Braz. Chem. Soc.

341

195

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Esta revisão descreve os aspectos fundamentais, a instrumentação, as aplicações e tendências futuras de uma técnica analítica que se encontra em seu estágio de consolidação e que está em vias de estabelecer o seu nicho entre as técnicas espectrofotométricas modernas. A técnica é denominada Espectroscopia de Emissão em Plasma Induzido por Laser (em inglês, Laser Induced Breakdown Spectroscopy, LIBS) e sua principal característica está no uso de pulsos de laser como fonte de energia para vaporizar a amostra e excitar a emissão de radiação eletromagnética, a partir de seus elementos e/ou fragmentos moleculares. A radiação emitida é analisada por meio de instrumentos ópticos de alta resolução e as suas intensidades são medidas, usualmente com detectores rápidos de estado sólido. Em conjunto, esses dispositivos permitem a geração e a medida de um espectro de emissão de faixa ampla do fenômeno induzido pelo pulso de laser. O espectro registrado contém informação qualitativa e quantitativa que pode ser correlacionada com a identidade da amostra ou empregada na determinação da quantidade de seus constituintes. Essa revisão é dividida em quatro partes. A primeira aborda aspectos históricos da técnica e os conceitos teóricos relevantes associados com LIBS; então, os aspectos práticos de diversas abordagens experimentais e instrumentais empregadas na implementação da técnica são revistos de forma crítica; as aplicações encontradas na literatura, incluindo aquelas que empregam quimiometria, são classificadas e exemplificadas por meio de trabalhos relevantes recentemente publicados. Finalmente, uma tentativa de estabelecer uma avaliação global e as perspectivas futuras para a técnica é apresentada.This review describes the fundamentals, instrumentation, applications and future trends of an analytical technique that is in its early stages of consolidation and is establishing its definitive niches among modern spectrometric techniques. The technique has been named Laser Induced Breakdown Spectroscopy (LIBS) and its main characteristic stands in the use of short laser pulses as the energy source to vaporize samples and excite the emission of electromagnetic radiation from its elements and/or molecular fragments. The emitted radiation is analyzed by high resolution optics and the intensities are recorded, usually by fast triggered solid state detectors. Together, these devices allow producing and registering a wide ranging emission spectrum of the short-lived phenomenon induced by the laser pulse. The spectrum contains qualitative and quantitative information which can be correlated with sample identity or can be used to determine the amount of its constituents. This review is divided in four parts. First, the relevant historical and theoretical concepts associated with LIBS are presented; then the main practical aspects of the several experimental and instrumental approaches employed for implementation of the technique are critically described; the applications related in the literature, including those making use of chemometri...

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Section: Chemometrics Applicationsmentioning

confidence: 99%

Laser Induced Breakdown Spectroscopy

Pasquini¹,

Cortez²,

Silva³

et al. 2007

J. Braz. Chem. Soc.

341

195

View full text Add to dashboard Cite

show abstract

“…Indeed, LIBS quantitative analysis of soils by chemometrics was first introduced by Wisbrun et al in 1994 [14]. Later, Sirven et al [15] used partial least square regression (PLS) to quantify chromium in artificially prepared soil samples and obtained a good improvement of prediction of concen trations compared to univariate calibration method. But at the opposite, Essington et al [12] applied PLS to LIBS and ICP AES data from natural soils originating from East Tennessee and obtained relative errors of prediction not smaller than the one provided by univariate approach.…”

Section: Introductionmentioning

confidence: 99%

Artificial neural network for on-site quantitative analysis of soils using laser induced breakdown spectroscopy

Haddad

Villot-Kadri

Ismaël

et al. 2013

Spectrochimica Acta Part B: Atomic Spectroscopy

Self Cite

109

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network for on-site quantitative analysis of soils using laser induced breakdown spectroscopy. Spectrochimica Acta Part B: Atomic Spectroscopy, Elsevier, 2013Elsevier, , 78-79, pp.51-57. 10.1016Elsevier, /j.sab.2012 Artificial neural network for on-site quantitative analysis of soils using laser induced breakdown spectroscopy Nowadays, due to environmental concerns, fast on site quantitative analyses of soils are required. Laser in duced breakdown spectroscopy is a serious candidate to address this challenge and is especially well suited for multi elemental analysis of heavy metals. However, saturation and matrix effects prevent from a simple treatment of the LIBS data, namely through a regular calibration curve. This paper details the limits of this ap proach and consequently emphasizes the advantage of using artificial neural networks well suited for non linear and multi variate calibration. This advanced method of data analysis is evaluated in the case of real soil samples and on site LIBS measurements. The selection of the LIBS data as input data of the network is particularly detailed and finally, resulting errors of prediction lower than 20% for aluminum, calcium, cop per and iron demonstrate the good efficiency of the artificial neural networks for on site quantitative LIBS of soils.

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“…These algorithms and other ones such as supervised learning algorithms or genetic algorithms have recently been applied to LIBS [71][72][73]. These works analyze samples ranging from metallic alloys, soils, heavy metals in water to toxins in toys, and can classify them or detect traces of a particular element, automatically.…”

Section: Isrn Spectroscopymentioning

confidence: 99%

Laser-Induced Breakdown Spectroscopy: Fundamentals, Applications, and Challenges

2012

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Laser-induced breakdown spectroscopy (LIBS) is a technique that provides an accurate in situ quantitative chemical analysis and, thanks to the developments in new spectral processing algorithms in the last decade, has achieved a promising performance as a quantitative chemical analyzer at the atomic level. These possibilities along with the fact that little or no sample preparation is necessary have expanded the application fields of LIBS. In this paper, we review the state of the art of this technique, its fundamentals, algorithms for quantitative analysis or sample classification, future challenges, and new application fields where LIBS can solve real problems.

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Qualitative and quantitative investigation of chromium-polluted soils by laser-induced breakdown spectroscopy combined with neural networks analysis

Cited by 152 publications

References 19 publications

Laser Induced Breakdown Spectroscopy

Laser Induced Breakdown Spectroscopy

Artificial neural network for on-site quantitative analysis of soils using laser induced breakdown spectroscopy

Laser-Induced Breakdown Spectroscopy: Fundamentals, Applications, and Challenges

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