Statistical Optimization of Operational Parameters for Enhanced Naphthalene Degradation by Photocatalyst
The optimization of operational parameters for enhanced naphthalene degradation by TiO2/Fe3O4-SiO2 (TFS) photocatalyst was conducted using statistical experimental design and analysis. Central composite design method of response surface methodology (RSM) was adopted to investigate the optimum value...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | International Journal of Photoenergy |
| Online Access: | http://dx.doi.org/10.1155/2012/607283 |
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| _version_ | 1832562631800520704 |
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| author | Aijuan Zhou Jing Peng Zhaobo Chen Jingwen Du Zechong Guo Nanqi Ren Aijie Wang |
| author_facet | Aijuan Zhou Jing Peng Zhaobo Chen Jingwen Du Zechong Guo Nanqi Ren Aijie Wang |
| author_sort | Aijuan Zhou |
| collection | DOAJ |
| description | The optimization of operational parameters for enhanced naphthalene degradation by TiO2/Fe3O4-SiO2 (TFS) photocatalyst was conducted using statistical experimental design and analysis. Central composite design method of response surface methodology (RSM) was adopted to investigate the optimum value of the selected factors for achieving maximum naphthalene degradation. Experimental results showed that irradiation time, pH, and TFS photocatalyst loading had significant influence on naphthalene degradation and the maximum degradation rate of 97.39% was predicted when the operational parameters were irradiation time 97.1 min, pH 2.1, and catalyst loading 0.962 g/L, respectively. The results were further verified by repeated experiments under optimal conditions. The excellent correlation between predicted and measured values further confirmed the validity and practicability of this statistical optimum strategy. |
| format | Article |
| id | doaj-art-ac800493ccc24b17a13048fe2f0ff086 |
| institution | Kabale University |
| issn | 1110-662X 1687-529X |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Photoenergy |
| spelling | doaj-art-ac800493ccc24b17a13048fe2f0ff0862025-02-03T01:22:17ZengWileyInternational Journal of Photoenergy1110-662X1687-529X2012-01-01201210.1155/2012/607283607283Statistical Optimization of Operational Parameters for Enhanced Naphthalene Degradation by PhotocatalystAijuan Zhou0Jing Peng1Zhaobo Chen2Jingwen Du3Zechong Guo4Nanqi Ren5Aijie Wang6School of Municipal and Environmental Engineering, Harbin Institute of Technology (HIT), 202 Haihe Road, Harbin 150090, ChinaInstitute of Architecture Design and Research, Harbin Institute of Technology, Harbin 150090, ChinaState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology (SKLUWRE, HIT), Harbin 150090, ChinaSchool of Municipal and Environmental Engineering, Harbin Institute of Technology (HIT), 202 Haihe Road, Harbin 150090, ChinaSchool of Municipal and Environmental Engineering, Harbin Institute of Technology (HIT), 202 Haihe Road, Harbin 150090, ChinaSchool of Municipal and Environmental Engineering, Harbin Institute of Technology (HIT), 202 Haihe Road, Harbin 150090, ChinaSchool of Municipal and Environmental Engineering, Harbin Institute of Technology (HIT), 202 Haihe Road, Harbin 150090, ChinaThe optimization of operational parameters for enhanced naphthalene degradation by TiO2/Fe3O4-SiO2 (TFS) photocatalyst was conducted using statistical experimental design and analysis. Central composite design method of response surface methodology (RSM) was adopted to investigate the optimum value of the selected factors for achieving maximum naphthalene degradation. Experimental results showed that irradiation time, pH, and TFS photocatalyst loading had significant influence on naphthalene degradation and the maximum degradation rate of 97.39% was predicted when the operational parameters were irradiation time 97.1 min, pH 2.1, and catalyst loading 0.962 g/L, respectively. The results were further verified by repeated experiments under optimal conditions. The excellent correlation between predicted and measured values further confirmed the validity and practicability of this statistical optimum strategy.http://dx.doi.org/10.1155/2012/607283 |
| spellingShingle | Aijuan Zhou Jing Peng Zhaobo Chen Jingwen Du Zechong Guo Nanqi Ren Aijie Wang Statistical Optimization of Operational Parameters for Enhanced Naphthalene Degradation by Photocatalyst International Journal of Photoenergy |
| title | Statistical Optimization of Operational Parameters for Enhanced Naphthalene Degradation by Photocatalyst |
| title_full | Statistical Optimization of Operational Parameters for Enhanced Naphthalene Degradation by Photocatalyst |
| title_fullStr | Statistical Optimization of Operational Parameters for Enhanced Naphthalene Degradation by Photocatalyst |
| title_full_unstemmed | Statistical Optimization of Operational Parameters for Enhanced Naphthalene Degradation by Photocatalyst |
| title_short | Statistical Optimization of Operational Parameters for Enhanced Naphthalene Degradation by Photocatalyst |
| title_sort | statistical optimization of operational parameters for enhanced naphthalene degradation by photocatalyst |
| url | http://dx.doi.org/10.1155/2012/607283 |
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