Response surface methodology (RSM) analysis of photoinduced decoloration of toludine blue

Bahadir K. Körbahti; M. A. Rauf

doi:10.1016/j.cej.2007.03.007

Response surface methodology (RSM) analysis of photoinduced decoloration of toludine blue

Bahadir K. Körbahti
, M. A. Rauf

Department of Chemistry

Research output: Contribution to journal › Article › peer-review

173 Citations (Scopus)

Abstract

In this study, the decoloration of toludine blue (TB) in the presence of UV radiation and heterogeneous hybrid catalyst, namely titanium oxide impregnated with vanadium oxide was optimized using response surface methodology (RSM). The optimum removal conditions were determined as 26.5 mg/20 mL V₂O₅/TiO₂ catalyst concentration at pH 7.7. At optimized conditions the complete decoloration was obtained at 50 μM TB concentration. In the optimization, R² and R_adj² correlation coefficients for quadratic model was evaluated quite satisfactorily as 0.98 and 0.96, respectively.

Original language	English
Pages (from-to)	25-30
Number of pages	6
Journal	Chemical Engineering Journal
Volume	136
Issue number	1
DOIs	https://doi.org/10.1016/j.cej.2007.03.007
Publication status	Published - Feb 15 2008

Keywords

Optimization
Photocatalysis
Response surface methodology (RSM)
Titanium oxide
Toludine blue
Vanadium oxide

ASJC Scopus subject areas

General Chemistry
Environmental Chemistry
General Chemical Engineering
Industrial and Manufacturing Engineering

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10.1016/j.cej.2007.03.007

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title = "Response surface methodology (RSM) analysis of photoinduced decoloration of toludine blue",

abstract = "In this study, the decoloration of toludine blue (TB) in the presence of UV radiation and heterogeneous hybrid catalyst, namely titanium oxide impregnated with vanadium oxide was optimized using response surface methodology (RSM). The optimum removal conditions were determined as 26.5 mg/20 mL V2O5/TiO2 catalyst concentration at pH 7.7. At optimized conditions the complete decoloration was obtained at 50 μM TB concentration. In the optimization, R2 and Radj2 correlation coefficients for quadratic model was evaluated quite satisfactorily as 0.98 and 0.96, respectively.",

keywords = "Optimization, Photocatalysis, Response surface methodology (RSM), Titanium oxide, Toludine blue, Vanadium oxide",

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T1 - Response surface methodology (RSM) analysis of photoinduced decoloration of toludine blue

AU - Körbahti, Bahadir K.

AU - Rauf, M. A.

PY - 2008/2/15

Y1 - 2008/2/15

N2 - In this study, the decoloration of toludine blue (TB) in the presence of UV radiation and heterogeneous hybrid catalyst, namely titanium oxide impregnated with vanadium oxide was optimized using response surface methodology (RSM). The optimum removal conditions were determined as 26.5 mg/20 mL V2O5/TiO2 catalyst concentration at pH 7.7. At optimized conditions the complete decoloration was obtained at 50 μM TB concentration. In the optimization, R2 and Radj2 correlation coefficients for quadratic model was evaluated quite satisfactorily as 0.98 and 0.96, respectively.

AB - In this study, the decoloration of toludine blue (TB) in the presence of UV radiation and heterogeneous hybrid catalyst, namely titanium oxide impregnated with vanadium oxide was optimized using response surface methodology (RSM). The optimum removal conditions were determined as 26.5 mg/20 mL V2O5/TiO2 catalyst concentration at pH 7.7. At optimized conditions the complete decoloration was obtained at 50 μM TB concentration. In the optimization, R2 and Radj2 correlation coefficients for quadratic model was evaluated quite satisfactorily as 0.98 and 0.96, respectively.

KW - Optimization

KW - Photocatalysis

KW - Response surface methodology (RSM)

KW - Titanium oxide

KW - Toludine blue

KW - Vanadium oxide

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DO - 10.1016/j.cej.2007.03.007

M3 - Article

AN - SCOPUS:37149012110

SN - 1385-8947

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EP - 30

JO - Chemical Engineering Journal

JF - Chemical Engineering Journal

IS - 1

ER -

Response surface methodology (RSM) analysis of photoinduced decoloration of toludine blue

Abstract

Keywords

ASJC Scopus subject areas

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