Determination of optimum operating conditions of carmine decoloration by UV/H2O2 using response surface methodology

Bahadir K. Körbahti; Muhammad A. Rauf

doi:10.1016/j.jhazmat.2008.03.118

Determination of optimum operating conditions of carmine decoloration by UV/H₂O₂ using response surface methodology

Bahadir K. Körbahti
, Muhammad A. Rauf

Department of Chemistry

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

92 Citations (Scopus)

Abstract

In this study, the photolytic decoloration of carmine (C.I. Natural Red 4) via UV radiation in the presence of H₂O₂ was optimized using response surface methodology (RSM). According to analysis of variance (ANOVA) results, the proposed model can be used to navigate the design space. It was found that the response of carmine degradation is very sensitive to the independent factors of carmine concentration, H₂O₂ concentration, pH and reaction time. The proposed model for D-optimal design fitted very well with the experimental data with R² and R_adj² correlation coefficients of 0.998 and 0.997, respectively.

Original language	English
Pages (from-to)	281-286
Number of pages	6
Journal	Journal of Hazardous Materials
Volume	161
Issue number	1
DOIs	https://doi.org/10.1016/j.jhazmat.2008.03.118
Publication status	Published - Jan 15 2009

Keywords

Carmine
D-optimal design
Dye removal
Photolytic decoloration
Response surface methodology (RSM)

ASJC Scopus subject areas

Environmental Engineering
Environmental Chemistry
Waste Management and Disposal
Pollution
Health, Toxicology and Mutagenesis

Access to Document

10.1016/j.jhazmat.2008.03.118

Cite this

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abstract = "In this study, the photolytic decoloration of carmine (C.I. Natural Red 4) via UV radiation in the presence of H2O2 was optimized using response surface methodology (RSM). According to analysis of variance (ANOVA) results, the proposed model can be used to navigate the design space. It was found that the response of carmine degradation is very sensitive to the independent factors of carmine concentration, H2O2 concentration, pH and reaction time. The proposed model for D-optimal design fitted very well with the experimental data with R2 and Radj2 correlation coefficients of 0.998 and 0.997, respectively.",

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