화학공학소재연구정보센터
Journal of Industrial and Engineering Chemistry, Vol.20, No.5, 3014-3018, September, 2014
Removal of molybdenum using silver nanoparticles from water samples: Particle swarm optimization.artificial neural network
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In this study, a simple and fast method for preconcentration and determination of trace amount of molybdenum from water samples was developed by silver nanoparticles based solid-phase extraction method and UV-vis spectrophotometry. Hybrid of artificial neural network-particle swarm optimiza-tion (ANN-PSO) has been used to develop predictive models for simulation and optimization of solid phase extraction method. Under the optimum conditions, the detection limit and relative standard deviation were 11 μg L-1 and < 3.9%, respectively. The pre-concentration factor of this method was 50. The method was applied to preconcentration and determination of molybdenum from water samples.
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