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

Abstract

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.

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

“…Most of these calibration methods use linear algebra to describe the relationship between the analyte concentration and the signal, despite the fact that LIBS calibration plots are often non-linear as a result of self absorption. Only a few authors have used nonlinear methods, including artificial neural networks [125,126], generalized linear correlation [63], or nonlinearized dominantfactor-based partial least squares (NDFPLS) [127,128], and reported on improved accuracy and precision. Non-linear methods will most probably become more popular in the future, because in addition to their better accuracy and precision they also enable a wider concentration range to be used for calibration.…”

Good practices in LIBS analysis: Review and advices

“…In an opposite approach, LIBS has been exploited at the micro scale in order to provide chemical mapping of a given sample [4,5] and for high spatial resolution [6]. Moreover, many portable or transportable LIBS instruments have been developed in order to open the way to on-site measurements [7][8][9]. LIBS has thus been applied to e.g.…”

Calibration Methods of Laser-Induced Breakdown Spectroscopy

“…For example, El Haddad et al [46] used an artificial neuron network to analyze the heavy metals in soil and predict the concentration of element. They used average relative error of calibration REC (%) and the average relative error of prediction REP (%) to evaluate the predictive quality of the ANN models.…”