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Application of response surface methodology for optimization of Orange Ⅱ removal by heterogeneous Fenton-like process using Fe_3O_4nanoparticles
作者姓名:Kun Chen  Guang-Hua Wang  Wen-Bing Li  Dong Wan  Qin Hu  Lu-Lu Lu
作者单位:College of Chemical Engineering and Technology, Wuhan University of Science and Technology, Wuhan 430081, China
基金项目:financially supported by the Specialized Research Fund for the Doctoral Program of Higher Education of China(No.20114219110002);Fund from Coal Conversion and New Carbon Materials Hubei Key Laboratory(Wuhan University of Science and Technology)(No.WKDM201107);Educational Commission of Hubei Province of China(No.D20131107)
摘    要:In this study, Fe3O4nanoparticles(Fe3O4NPs) were successfully prepared via oxidation–precipitation method and characterized by scanning electron microscopy(SEM), X-ray diffraction(XRD) and Fourier transform infrared spectroscopy(FT-IR). The characterization results indicated that Fe3O4 NPs with regular crystal structure and a narrow of diameters had been synthesized successfully and had high purity. A series of experiments were carried out to investigate the degradation of Orange II by the obtained heterogeneous Fe3O4 catalysts in the presence of H2O2. The response surface methodology(RSM) based on Box–Behnken design(BBD) was employed to design and optimize individual and interactive effects of the four main independent parameters(catalyst loading, initial p H, reaction temperature and H2O2concentration) on decolorization efficiency of Orange II. A significant quadratic model(p-value 〈0.0001, R2= 0.9369) was derived using analysis of variance(ANOVA). Optimum conditions were catalyst loading of 1.5 g/L, initial p H of 2.7, reaction temperature of 42 8C and H2O2 concentration of 22 mmol/L, respectively. The predicted decolorization rate under the optimum conditions as determined by the proposed model was 99.55%. Confirmatory tests were carried out and the decolorization rate of 99.49% was observed under the optimum conditions, which agreed well with the model prediction.

关 键 词:响应曲面法  橙色  优化  傅里叶变换红外光谱  非均相催化剂  扫描电子显微镜  四氧化三铁  应用
收稿时间:27 March 2014

Application of response surface methodology for optimization of Orange Ⅱ removal by heterogeneous Fenton-like process using Fe_3O_4nanoparticles
Kun Chen,Guang-Hua Wang,Wen-Bing Li,Dong Wan,Qin Hu,Lu-Lu Lu.Application of response surface methodology for optimization of Orange Ⅱ removal by heterogeneous Fenton-like process using Fe_3O_4nanoparticles[J].Chinese Chemical Letters,2014,25(11):1455-1460.
Authors:Kun Chen  Guang-Hua Wang  Wen-Bing Li  Dong Wan  Qin Hu  Lu-Lu Lu
Institution:College of Chemical Engineering and Technology, Wuhan University of Science and Technology, Wuhan 430081, China
Abstract:In this study, Fe3O4 nanoparticles (Fe3O4 NPs) were successfully prepared via oxidation-precipitation method and characterized by scanning electron microscopy (SEM), X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FT-IR). The characterization results indicated that Fe3O4 NPs with regular crystal structure and a narrow of diameters had been synthesized successfully and had high purity. A series of experiments were carried out to investigate the degradation of Orange Ⅱ by the obtained heterogeneous Fe3O4 catalysts in the presence of H2O2. The response surface methodology (RSM) based on Box-Behnken design (BBD) was employed to design and optimize individual and interactive effects of the four main independent parameters (catalyst loading, initial pH, reaction temperature and H2O2 concentration) on decolorization efficiency of Orange Ⅱ. A significant quadratic model (p-value <0.0001, R2=0.9369) was derived using analysis of variance (ANOVA). Optimum conditions were catalyst loading of 1.5 g/L, initial pH of 2.7, reaction temperature of 42℃ and H2O2 concentration of 22 mmol/L, respectively. The predicted decolorization rate under the optimum conditions as determined by the proposed model was 99.55%. Confirmatory tests were carried out and the decolorization rate of 99.49% was observed under the optimum conditions, which agreed well with the model prediction.
Keywords:Fe_O_ nanoparticles Heterogeneous Fenton-like Orange II Response surface methodology
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