Application of a series of artificial neural networks to on-site quantitative analysis of lead into real soil samples by laser induced breakdown spectroscopy

Artificial neural networks were applied to process data from on-site LIBS analysis of soil samples. A first artificial neural network allowed retrieving the relative amounts of silicate, calcareous and ores matrices into soils. As a consequence, each soil sample was correctly located inside the ternary diagram characterized by these three matrices, as verified by ICP-AES. Then a series of artificial neural networks were applied to quantify lead into soil samples. More precisely, two models were designed for classification purpose according to both the type of matrix and the range of lead concentrations. Then, three quantitative models were locally applied to three data subsets. This complete approach allowed reaching a relative error of prediction close to 20%, considered as satisfying in the case of on-site analysis.

[1]  B. Bousquet,et al.  Towards quantitative laser-induced breakdown spectroscopy analysis of soil samples ☆ , 2007 .

[2]  P. Prem Kiran,et al.  Laser-induced breakdown spectroscopy-based investigation and classification of pharmaceutical tablets using multivariate chemometric analysis. , 2011, Talanta.

[3]  Robert L. Tokar,et al.  Pre-flight calibration and initial data processing for the ChemCam laser-induced breakdown spectroscopy instrument on the Mars Science Laboratory rover , 2013 .

[4]  Russell S. Harmon,et al.  Multivariate analysis of laser-induced breakdown spectroscopy chemical signatures for geomaterial classification , 2009 .

[5]  Ka Kaduki,et al.  Laser induced breakdown spectroscopy and characterization of environmental matrices utilizing multivariate chemometrics , 2013 .

[6]  R. A. Hull,et al.  Soil Metals Analysis Using Laser-Induced Breakdown Spectroscopy (LIBS) , 2009 .

[7]  Lionel Canioni,et al.  Development of a mobile system based on laser-induced breakdown spectroscopy and dedicated to in situ analysis of polluted soils☆ , 2008 .

[8]  Celio Pasquini,et al.  Classification of Brazilian soils by using LIBS and variable selection in the wavelet domain. , 2009, Analytica chimica acta.

[9]  Olivier Musset,et al.  Testing a portable laser-induced breakdown spectroscopy system on geological samples , 2012 .

[10]  M. Potin-Gautier,et al.  Qualitative and quantitative investigation of chromium-polluted soils by laser-induced breakdown spectroscopy combined with neural networks analysis , 2006, Analytical and bioanalytical chemistry.

[11]  D. Cremers,et al.  Matrix Effects in the Detection of Pb and Ba in Soils Using Laser-Induced Breakdown Spectroscopy , 1996 .

[12]  E. Tognoni,et al.  New Procedure for Quantitative Elemental Analysis by Laser-Induced Plasma Spectroscopy , 1999 .

[13]  S. Maurice,et al.  Feasibility study of rock identification at the surface of Mars by remote laser-induced breakdown spectroscopy and three chemometric methods , 2007 .

[14]  Richard R. Hark,et al.  Applications of laser-induced breakdown spectroscopy for geochemical and environmental analysis: A comprehensive review , 2013 .

[15]  Walid Tawfik Y. Mohamed.  Improved LIBS limit of detection of Be, Mg, Si, Mn, Fe and Cu in aluminum alloy samples using a portable Echelle spectrometer with ICCD camera , 2008 .

[16]  David W. Hahn,et al.  Evaluation of Laser-Induced Breakdown Spectroscopy (LIBS) as a Measurement Technique for Evaluation of Total Elemental Concentration in Soils , 2012 .

[17]  S. Clegg,et al.  Comparison of partial least squares and lasso regression techniques as applied to laser-induced breakdown spectroscopy of geological samples , 2012 .

[18]  Ishan Barman,et al.  Incorporation of support vector machines in the LIBS toolbox for sensitive and robust classification amidst unexpected sample and system variability. , 2012, Analytical chemistry.

[19]  Markandey M. Tripathi,et al.  A comparison of multivariate LIBS and chemiluminescence-based local equivalence ratio measurements in premixed atmospheric methane–air flames , 2013 .

[20]  Anna P. M. Michel,et al.  Review: Applications of single-shot laser-induced breakdown spectroscopy , 2010 .

[21]  Asmaa Elhassan,et al.  LIBS limit of detection and plasma parameters of some elements in two different metallic matrices , 2004 .

[22]  Frank C. De Lucia,et al.  Rapid analysis of energetic and geo-materials using LIBS , 2011 .

[23]  Israel Schechter,et al.  Laser-induced breakdown spectroscopy (LIBS) : fundamentals and applications , 2006 .

[24]  Lionel Canioni,et al.  Artificial neural network for on-site quantitative analysis of soils using laser induced breakdown spectroscopy , 2013 .

[25]  José Manuel Andrade,et al.  Classical univariate calibration and partial least squares for quantitative analysis of brass samples by laser-induced breakdown spectroscopy ☆ , 2010 .

[26]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[27]  Gerta Rücker,et al.  y-Randomization and Its Variants in QSPR/QSAR , 2007, J. Chem. Inf. Model..

[28]  Robson Marinho da Silva,et al.  Artificial neural network for Cu quantitative determination in soil using a portable Laser Induced Breakdown Spectroscopy system , 2008 .

[29]  A. Staňková,et al.  A simple LIBS method for fast quantitative analysis of fly ashes , 2010 .