Application of cuckoo optimization algorithm-artificial neural network method of zinc oxide nanoparticles-chitosan for extraction of uranium from water samples

作者：Khajeh Mostafa^*; Jahanbin Elham

来源：Chemometrics and Intelligent Laboratory Systems, 2014, 135: 70-75.

DOI：10.1016/j.chemolab.2014.04.003

• Uranium
• Zinc oxide nanoparticles-chitosan
• Artificial neural network-cuckoo optimization algorithm
• Water samples

In this study, a solid phase extraction using the new sorbent (zinc oxide nanoparticles-chitosan) has been developed for preconcentration and determination of trace amount of uranium from water samples. Hybrid modeling of cuckoo optimization algorithm-artificial neural network (COA-ANN) has been employed to develop the model for simulation and optimization of this method. The 1-(2-pyridylazo)-2-naphthol (PAN) was used as chelating agent. The pH, volume of elution solvent, mass of zinc oxide nanoparticles-chitosan, concentration of PAN, flow rate of sample and elution solvent were the input variables, while recovery of uranium was the output. At the optimum conditions, the limit of detections and enrichment factor were 0.5 mu g L-1 and 125, respectively for the uranium. The developed procedure was then applied to the extraction and determination of uranium from water samples.

• 出版日期2014-7-15