Hezaryan, Sheida (2013) Solid phase extraction of manganese using silica nanoparticles from water samples. Masters thesis, University of Zabol.
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Abstract
In this study, a modeling based on ant-colony optimization – artificial neural network have been employed to develop the model for simulation and optimization of nanometer SiO2 for the extraction of manganese from water samples. The pH, time, amount of SiO2 nanoparticles and concentration of 1- (2-pyridylazo)-2-naphthol (PAN) were the input variables, while the extraction% of analyte was the output. The optimized conditions were as follows: the pH of solution 10.5, the extraction time 30 min, the amount of nanoparticles adsorbent 0.1 g and the concentration of PAN 0.5 mgL-1. Under the optimum conditions, the detection limits were 0.52 for manganese. The method was applied to the extraction of manganese from water samples.
| Item Type: | Thesis (Masters) |
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| Uncontrolled Keywords: | Manganese, SiO2 nanoparticles, Artificial Neural Network, Ant Colony Optimization |
| Subjects: | Q Science > QD Chemistry |
| Depositing User: | admin admin1 admin2 |
| Date Deposited: | 08 Nov 2016 08:31 |
| Last Modified: | 08 Nov 2016 08:31 |
| URI: | http://eprints.uoz.ac.ir/id/eprint/1000 |
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