Quantitative multi-elemental laser-induced breakdown spectroscopy using artificial neural networks

Abstract

The Laser-Induced Breakdown Spectroscopy (LIBS) is an emerging technique with great potential in atomic elemental analysis in many areas, particularly, in space exploration. In this paper, an algorithm for automated identification of elements and measurements of their concentrations in rocks and soils, as well as its experimental validation are presented. The proposed approach is based on the artificial neural network (ANN). We demonstrate that the ANN algorithm works successfully for all major elements of geological interest tested on natural rock and soil samples. Keywords:Laser-induced breakdown spectroscopy (LIBS), artificial neural network (ANN), quantitative spectroscopy of minerals, laser instrumentation for planetary exploration

An Innovative Approach to Meteorite Analysis by Laser‐Induced Breakdown Spectroscopy

“…Motto‐Ros et al . () used an Artificial Neural Network (ANN) algorithm as the processing method for the automated quantitative LIBS analysis of a meteorite impact glass, sandstone and volcanic glass analogue of the Martian surface material collected from a meteorite impact site in Egypt. The Partial Independent Component Analysis (PICA) and Partial Least Square (PLS) methods were used to evaluate the proportion of different mineral phases and identify the distribution of mineral grain sizes in the DAG 476 Martian picritic shergottite meteorite found in the Sahara Desert of Libya (Cousin et al .…”

Identification of Polymer Materials Using Laser-Induced Breakdown Spectroscopy Combined with Artificial Neural Networks

“…at the Canadian Space Agency. 23,24 The input values corresponding to the spectral intensities characterizing a sample are fed into the first layer, which processes the information. The outputs of the first layer feed the neurons of the next layers.…”

Comparison of Different Calibration Techniques by Laser Induced Breakdown Spectroscopy in Bakery Products 

“…It simulates the human intelligence for objective learning. ANN has been used for identification of polymers by LIBS [23] analysis of LIBS data for three chromium doped soils [24], and quantification of element in soils and rocks [25] Na is an essential element for human diet. However, if consumed excessively, it may cause some health problems such as high blood pressure [26], strokes and coronary heart diseases [27].…”