Gharan, Mohsen (2014) Solid phase extraction of oxalic acid, tartaric acid and citric acid using zinc oxide /chitosan nanoparticles from biological samples. Masters thesis, University of Zabol.
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Abstract
Design new materials in the nano-scale in recent years have been very important due to their wide applications in many fields. In this research, the solid phase ZnO nanoparticles / chitosan for preconcentration and separation of oxalic acid, tartaric acid and citric acid has been used. After solid phase extraction, the analysis was performed by high performance liquid chromatography. The hybrid of response surface methodology- genetic algorithm and hybrid of artificial neural network- genetic algorithm have been used to develop the predictive model for simulation and optimization of extraction process. The pH, amount of zinc oxide nanoparticles-chitosan, eluent volume, and sample and eluent flow rates were the input variables, while a multiple function (multiple responses, Rm) were the output. Two approaches for their modeling and optimization capabilities were compared. The generalization and predictive capability of both RSM and ANN were compared by unseen data. The results have shown the superiority of ANN compared to RSM. Under the optimum conditions, the detection limits of oxalic acid, tartaric acid and citric acid were 2.8, 2.3 and 3.5 µg L-1, respectively. This method was applied to the preconcentration and determination of oxalic acid, tartaric acid and citric acid from biological samples.
| Item Type: | Thesis (Masters) |
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| Uncontrolled Keywords: | Solid-phase extraction, zinc oxide nanoparticles-chitosan, oxalic acid, tartaric acid and citric acid, artificial neural network, genetic algorithm, response surface methodology |
| Subjects: | Q Science > QD Chemistry |
| Depositing User: | admin admin1 admin2 |
| Date Deposited: | 08 Nov 2016 08:35 |
| Last Modified: | 08 Nov 2016 08:35 |
| URI: | http://eprints.uoz.ac.ir/id/eprint/1002 |
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