Taherkhani Samira, Darvishmotevalli Mohammad, Karimyan Kamaleddin, Bina Bijan, Fallahi Adibeh, Karimi Hossein
Department of Environmental Health Engineering, School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran.
Student Research Committee, Isfahan University of Medical Sciences, Isfahan, Iran.
Data Brief. 2018 Jun 22;19:1997-2007. doi: 10.1016/j.dib.2018.06.030. eCollection 2018 Aug.
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 (ZnSnO) 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=300 mg L, initial concentration of TC= 10 mg L, reaction time= 100 min 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.
从水溶液中去除四环素等药物成分具有重要意义。本研究的目的是研究在三极半导体氧化物存在下四环素抗生素的降解情况，并对光催化降解过程进行建模，以确定最佳条件。通过水热法合成了锡酸锌纳米花（ZnSnO），并采用X射线衍射（XRD）、傅里叶变换红外光谱（FT-IR）和扫描电子显微镜（SEM）技术对其进行了表征。采用响应面法（RSM）对光催化剂用量、作为模型污染物的四环素抗生素（TC）初始浓度、pH值和光催化降解反应时间这四个关键自变量进行建模和优化。所提出的二次模型与实验结果相符，相关系数为98%。光降解过程获得的最佳实验条件如下：锡酸锌（ZTO）用量 = 300 mg/L，TC初始浓度 = 10 mg/L，反应时间 = 100 min，pH = 4.5。在最佳条件下，所提出的模型确定的预测降解效率为95.45%。为了评估优化程序的准确性，在最佳条件下进行了验证实验，观察到降解效率为93.54%，与预测值非常吻合。
