Khataee Alireza, Karimi Atefeh, Hasanzadeh Aliyeh, Joo Sang Woo
Research Laboratory of Advanced Water and Wastewater Treatment Processes, Department of Applied Chemistry, Faculty of Chemistry, University of Tabriz, 51666-16471 Tabriz, Iran; Department of Materials Science and Nanotechnology Engineering, Near East University, 99138 Nicosia, North Cyprus, Mersin 10, Turkey.
Research Laboratory of Advanced Water and Wastewater Treatment Processes, Department of Applied Chemistry, Faculty of Chemistry, University of Tabriz, 51666-16471 Tabriz, Iran.
Ultrason Sonochem. 2017 Nov;39:344-353. doi: 10.1016/j.ultsonch.2017.04.022. Epub 2017 Apr 18.
CdSe and Gd-doped CdSe nanoparticles were synthesized using a simple hydrothermal method, and their catalytic activity was examined toward degradation of Acid Blue 5 (AB5) in the sonocatalytic process. The structure and morphology of as-prepared nanomaterials were characterized using scanning electron microscopy (SEM), X-ray diffraction (XRD), transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS), Branauer, Emmett and Teller (BET) and Fourier infrared spectroscopy (FT-IR) techniques. Among the synthesized samples, 4% Gd-doped CdSe nanoparticles demonstrated the highest catalytic activity with band gap energy of 1.61eV. The effect of dopant content, initial dye concentration, catalyst dosage, ultrasonic power and inorganic radical scavengers on the degradation efficacy of AB5 was evaluated. The produced intermediates of AB5 degradation during sonocatalytic process were verified using gas chromatography-mass spectroscopy (GC-MS) technique. A novel intrinsic kinetic model for prediction of AB5 degradation efficiency was proposed. A good agreement was obtained between developed model and experimental data (R>0.94).
采用简单的水热法合成了CdSe和Gd掺杂的CdSe纳米颗粒,并考察了它们在声催化过程中对酸性蓝5(AB5)降解的催化活性。使用扫描电子显微镜(SEM)、X射线衍射(XRD)、透射电子显微镜(TEM)、X射线光电子能谱(XPS)、Branauer-Emmett-Teller(BET)和傅里叶红外光谱(FT-IR)技术对所制备的纳米材料的结构和形貌进行了表征。在所合成的样品中,4% Gd掺杂的CdSe纳米颗粒表现出最高的催化活性,其带隙能量为1.61eV。评估了掺杂剂含量、初始染料浓度、催化剂用量、超声功率和无机自由基清除剂对AB5降解效率的影响。利用气相色谱-质谱联用(GC-MS)技术验证了声催化过程中AB5降解产生的中间体。提出了一种预测AB5降解效率的新型本征动力学模型。所建立的模型与实验数据之间取得了良好的一致性(R>0.94)。