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Type: Artigo de periódico
Title: Simultaneous optimization by neuro-genetic approach for analysis of plant materials by laser induced breakdown spectroscopy
Author: NUNES, Lidiane Cristina
SILVA, Gilmare Antonia da
TREVIZAN, Lilian Cristina
POPPI, Ronei Jesus
KRUG, Francisco Jose
Abstract: A simultaneous optimization strategy based on a neuro-genetic approach is proposed for selection of laser induced breakdown spectroscopy operational conditions for the simultaneous determination of macronutrients (Ca, Mg and P), micro-nutrients (B, Cu, Fe, Mn and Zn), Al and Si in plant samples. A laser induced breakdown spectroscopy system equipped with a 10 Hz Q-switched Nd:YAG laser (12 ns, 532 nm, 140 mJ) and an Echelle spectrometer with intensified coupled-charge device was used. Integration time gate, delay time, amplification gain and number of pulses were optimized. Pellets of spinach leaves (NIST 1570a) were employed as laboratory samples. In order to find a model that could correlate laser induced breakdown spectroscopy operational conditions with compromised high peak areas of all elements simultaneously, a Bayesian Regularized Artificial Neural Network approach was employed. Subsequently, a genetic algorithm was applied to find optimal conditions for the neural network model, in an approach called neuro-genetic, A single laser induced breakdown spectroscopy working condition that maximizes peak areas of all elements simultaneously, was obtained with the following optimized parameters: 9.0 mu s integration time gate, 1.1 mu s delay time, 225 (a.u.) amplification gain and 30 accumulated laser pulses. The proposed approach is a useful and a suitable tool for the optimization process of such a complex analytical problem. (C) 2009 Elsevier B.V. All rights reserved.
Subject: Laser induced breakdown spectroscopy (LIBS)
Plant analysis
Bayesian regularized neural network
Genetic algorithm
Simultaneous optimization
Country: Inglaterra
Citation: SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY, v.64, n.6, p.565-572, 2009
Rights: fechado
Identifier DOI: 10.1016/j.sab.2009.05.002
Date Issue: 2009
Appears in Collections:IQ - Artigos e Materiais de Revistas Científicas

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