Laser-Induced Breakdown Spectroscopy of Composite Samples:  Comparison of Advanced Chemometrics Methods

Sirven, Jean-Baptiste; Bousquet, Bruno; Canioni, Lionel; Sarger, L.

doi:10.1021/ac051721p

Cited by 179 publications

(85 citation statements)

References 40 publications

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“…In the present study, similarly to the papers [20][21][22][23][24], the role of laser pulse energy and plasma fluctuations was diminished by normalising the line intensity with the total intensity recorded between 220 and 850 nm. Figure 3(a) based on Table 1 shows a high correlation coefficient R 2 = 0 9846 between the mass fraction of total carbon and the heating value.…”

Section: Selection Of Spectral Linessupporting

confidence: 69%

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Determination of Heating Value of Estonian Oil Shale by Laser-Induced Breakdown Spectroscopy

Aints¹,

Paris²,

Laan³

et al. 2018

Journal of Spectroscopy

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The laser-induced breakdown spectroscopy (LIBS) combined with multivariate regression analysis of measured data were utilised for determination of the heating value and the chemical composition of pellets made from Estonian oil shale samples with different heating values. The study is the first where the oil shale heating value is determined on the basis of LIBS spectra. The method for selecting the optimal number of spectral lines for ordinary multivariate least squares regression model is presented. The correlation coefficient between the heating value predicted by the regression model, and that measured by calorimetric bomb, was R 2 = 0 98. The standard deviation of prediction was 0.24 MJ/kg. Concentrations of oil shale components predicted by the regression model were compared with those measured by ordinary methods.

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Section: Selection Of Spectral Linessupporting

confidence: 69%

“…Low-value correlation coefficients indicate that the prediction of heating value by only a single spectral line intensity will have low accuracy. The use of multivariate analysis helps to minimise the matrix effect of complex geochemical materials and increase the accuracy of prediction [20,26].…”

Section: Selection Of Spectral Linesmentioning

confidence: 99%

Determination of Heating Value of Estonian Oil Shale by Laser-Induced Breakdown Spectroscopy

Aints¹,

Paris²,

Laan³

et al. 2018

Journal of Spectroscopy

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“…Sirven et al 354 related the use of LIBS to measure chromium concentrations in soil samples. They made a comparison between direct use of the analytical curve and two chemometric techniques, PLS and NNA.…”

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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“…Multivariate analysis was already recommended for the quantitative LIBS analysis of soil samples [9], [13]. Indeed, LIBS quantitative analysis of soils by chemometrics was first introduced by Wisbrun et al in 1994 [14].…”

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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Laser-Induced Breakdown Spectroscopy of Composite Samples: Comparison of Advanced Chemometrics Methods

Cited by 179 publications

References 40 publications

Determination of Heating Value of Estonian Oil Shale by Laser-Induced Breakdown Spectroscopy

Determination of Heating Value of Estonian Oil Shale by Laser-Induced Breakdown Spectroscopy

Laser Induced Breakdown Spectroscopy

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

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