Statistical Optimization of Operational Parameters for Enhanced Naphthalene Degradation by  Photocatalyst

Aijuan Zhou; Jing Peng; Zhaobo Chen; Jingwen Du; Zechong Guo; Nanqi Ren; Aijie Wang

doi:10.1155/2012/607283

International Journal of Photoenergy (Jan 2012)

Statistical Optimization of Operational Parameters for Enhanced Naphthalene Degradation by Photocatalyst

Aijuan Zhou,
Jing Peng,
Zhaobo Chen,
Jingwen Du,
Zechong Guo,
Nanqi Ren,
Aijie Wang

Affiliations

Aijuan Zhou: School of Municipal and Environmental Engineering, Harbin Institute of Technology (HIT), 202 Haihe Road, Harbin 150090, China
Jing Peng: Institute of Architecture Design and Research, Harbin Institute of Technology, Harbin 150090, China
Zhaobo Chen: State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology (SKLUWRE, HIT), Harbin 150090, China
Jingwen Du: School of Municipal and Environmental Engineering, Harbin Institute of Technology (HIT), 202 Haihe Road, Harbin 150090, China
Zechong Guo: School of Municipal and Environmental Engineering, Harbin Institute of Technology (HIT), 202 Haihe Road, Harbin 150090, China
Nanqi Ren: School of Municipal and Environmental Engineering, Harbin Institute of Technology (HIT), 202 Haihe Road, Harbin 150090, China
Aijie Wang: School of Municipal and Environmental Engineering, Harbin Institute of Technology (HIT), 202 Haihe Road, Harbin 150090, China

DOI: https://doi.org/10.1155/2012/607283
Journal volume & issue: Vol. 2012

Abstract

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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.

Published in International Journal of Photoenergy

ISSN: 1110-662X (Print); 1687-529X (Online)
Publisher: Wiley
Country of publisher: United Kingdom
LCC subjects: Technology: Mechanical engineering and machinery: Renewable energy sources
Website: https://onlinelibrary.wiley.com/journal/3837

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