Good practices in LIBS analysis: Review and advices

Haddad, Josette El; Canioni, Lionel; Bousquet, Bruno

doi:10.1016/j.sab.2014.08.039

Cited by 265 publications

(122 citation statements)

References 99 publications

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“…As has been pointed out by El Haddad et al [109], many LIBS publications still provide inadequate data on validation and performance. It has been suggested that the confusion matrix of the results should be presented in full and that figures of merit describing the success of classification and identification by a metric generally recognized (e.g.…”

Section: Qualitative Analysismentioning

confidence: 99%

A critical review of recent progress in analytical laser-induced breakdown spectroscopy

Galbács

2015

Anal Bioanal Chem

167

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Laser-induced breakdown spectroscopy (LIBS) has become an established analytical atomic spectrometry technique and is valued for its very compelling set of advantageous analytical and technical characteristics. It is a rapid, versatile, non-contact technique, which is capable of providing qualitative and quantitative analytical information for practically any sample, in a virtually non-destructive way, without any substantial sample preparation. The instrumentation is simple, robust, compact, and even enables remote analysis. This review attempts to give a critical overview of the diverse progress of the field, focusing on the results of the last five years. The advancement of LIBS instrumentation and data evaluation is discussed in detail and selected results of some prominent applications are also described.

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Section: Qualitative Analysismentioning

confidence: 99%

A critical review of recent progress in analytical laser-induced breakdown spectroscopy

Galbács

2015

Anal Bioanal Chem

167

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“…The leave-one-out (LOO) crossvalidation method [29][30][31][32] was used to find out the optimal set of spectral lines and to estimate the regression model predictivity. We used spectra of 36 pellets with nine different heating values for calibration, and for testing, we left out a subset of spectra of four pellets of the same sample having the known heating value from calorimetric measurements.…”

Section: Cross-validationmentioning

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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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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“…In Fig. 3, f sum (h) is the tting curve dened by eqn (6), which effectively ts the distribution of the coloured points. Once the expression of f(h) is ascertained, for any recorded I, the corresponding h could be calculated from the plasma image by eqn (1) and (3), and the intensity corresponding to the standard position could be described as…”

Section: Model Descriptionmentioning

confidence: 99%

“…1 Though LIBS has shown great potential in many different applications for its capacity in on-line, in situ analysis, [2][3][4][5][6][7][8] it is mostly used as a type of qualitative analysis or semiquantitative analysis, primarily because of its lack of stability in an ordinary measurement environment. In other words, poor measurement repeatability and reproducibility prevent LIBS from becoming a real super star like other established quantitative analysis techniques.…”

Section: Introductionmentioning

confidence: 99%

An intensity correction method combined with plasma position information for laser-induced breakdown spectroscopy

Zhang

Sun

et al. 2017

J. Anal. At. Spectrom.

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The uncertainty of collected spectral data is one of the most important issues for the application of laserinduced breakdown spectroscopy (LIBS) quantitative analysis. The fluctuation of the target surface simultaneously affects both the focus depth of the laser beam and the relative collection position, either of which may lead to severe fluctuation of the spectral signal. Thus, in this study, for detecting and reducing the fluctuation, an imaging system was deployed to monitor the plasma, and a mathematical model was also built based on both spectral signal and positional information. An ICCD camera was used to record the image of the plasma so as to detect the plasma and acquire positional information. Furthermore, the relationship between plasma position and specific spectral line intensity was obtained by the fitting function. Five aluminium alloy samples were employed to validate the reliability of the proposed method.

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Good practices in LIBS analysis: Review and advices

Cited by 265 publications

References 99 publications

A critical review of recent progress in analytical laser-induced breakdown spectroscopy

A critical review of recent progress in analytical laser-induced breakdown spectroscopy

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

An intensity correction method combined with plasma position information for laser-induced breakdown spectroscopy

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