Synthesis of zinc oxide nanoparticles-chitosan for extraction of methyl orange from water samples: cuckoo optimization algorithm-artificial neural network.
In this work, zinc nanoparticles-chitosan based solid phase extraction has been developed for separation and preconcentration of trace amount of methyl orange from water samples. Artificial neural network-cuckoo optimization algorithm has been employed to develop the model for simulation and optimization of this method. The pH, volume of elution solvent, mass of zinc oxide nanoparticles-chitosan, flow rate of sample and elution solvent were the input variables, while recovery of methyl orange was the output. The optimum conditions were obtained by cuckoo optimization algorithm. At the optimum conditions, the limit of detections of 0.7μgL(-1)was obtained for the methyl orange. The developed procedure was then applied to the separation and preconcentration of methyl orange from water samples.
Department of Chemistry, University of Zabol, P.O. Box 98615-538, Zabol, Iran. Electronic address: m_khajeh@uoz.ac.ir.
Mostafa
M
Khajeh
Department of Chemistry, University of Zabol, P.O. Box 98615-538, Zabol, Iran.
Ali Reza
AR
Golzary
D000465:Algorithms; D001391:Azo Compounds / Q000302:isolation & purification*; D048271:Chitosan / Q000737:chemistry*; D053758:Nanoparticles / Q000737:chemistry* / Q000648:ultrastructure; D016571:Neural Networks, Computer; D052616:Solid Phase Extraction / Q000379:methods*; D014867:Water / Q000032:analysis*; D014874:Water Pollutants, Chemical / Q000302:isolation & purification*; D015034:Zinc Oxide / Q000737:chemistry*
D001391:Azo Compounds; D014874:Water Pollutants, Chemical; D014867:Water; C100258:methyl orange; D048271:Chitosan; D015034:Zinc Oxide
Artificial neural network–cuckoo optimization algorithm; Methyl orange; Water samples; Zinc oxide nanoparticles–chitosan