(2018) Dataset on photodegradation of tetracycline antibiotic with zinc stannate nanoflower in aqueous solution - Application of response surface methodology. Data Brief. pp. 1997-2007. ISSN 2352-3409 (Print) 2352-3409 (Linking)
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Abstract
Removal of pharmaceutical ingredients such as tetracycline from aqueous solution has a great importance. The aim of the current study was to investigate the degradation of tetracycline antibiotic in the presence of a triode semiconductor oxide as well as modeling of the photocatalytic degradation process in order to determine optimal condition Zinc stannate nanoflower (Zn2SnO4) was synthesized by hydrothermal process and characterized by X-ray diffraction (XRD), Fourier transform infrared (FT-IR), and scanning electron microscopy (SEM) techniques. Response surface methodology (RSM) was used to model and optimize four key independent variables, including photocatalyst dosage, initial concentration of tetracycline antibiotic (TC) as model pollutant, pH and reaction time of photocatalytic degradation. The proposed quadratic model was in accordance with the experimental results with a correlation coefficient of 98. The obtained optimal experimental conditions for the photodegradation process were the following: zinc stannate (ZTO) dosage=300mgL(-1), initial concentration of TC= 10mgL(-1), reaction time= 100min and pH=4.5. Under the optimal conditions, the predicted degradation efficiency was 95.45 determined by the proposed model. In order to evaluate the accuracy of the optimization procedure, the confirmatory experiment was carried out under the optimal conditions and the degradation efficiency of 93.54 was observed, which closely agreed with the predicted value.
Item Type: | Article |
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Keywords: | Antibiotic Modeling Nanoflower Photodegradation Rsm Water treatment Zto |
Divisions: | Faculty of Health > Department of Environmental Health Engineering Faculty of Health > Student Research Committee |
Page Range: | pp. 1997-2007 |
Journal or Publication Title: | Data Brief |
Journal Index: | Pubmed |
Volume: | 19 |
Identification Number: | https://doi.org/10.1016/j.dib.2018.06.030 |
ISSN: | 2352-3409 (Print) 2352-3409 (Linking) |
Depositing User: | Zahra Otroj |
URI: | http://eprints.mui.ac.ir/id/eprint/8031 |
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