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Decolorization of the azo dye Reactive Black 5 by Fenton and photo-Fenton oxidation

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LUCAS, M, PERES, J·2006·Dyes and Pigments

Abstract

Abstract The oxidative decolorization of Reactive Black 5 (RB5) in aqueous solution has been studied using Fenton (H 2 O 2 /Fe 2+ ) and photo-Fenton (H 2 O 2 /Fe 2+ /UV) processes. This investigation reveals that both methods can remove the color of RB5. Batch experiments were carried out to investigate the process's optimal operational conditions: pH, H 2 O 2 dosage, Fe 2+ dosage, RB5 concentration and optimal [Fe 2+ ] 0 /[H 2 O 2 ] 0 /[RB5] 0 ratio, to obtain the bests results at low cost, render AOP competitive with other processes. The optimal conditions found were a ratio [H 2 O 2 ] 0 /[RB5] 0 of 4.9:1, a ratio [H 2 O 2 ] 0 /[Fe 2+ ] 0 of 9.6:1 and pH = 3.0. The decolorization experiments indicate that RB5 can be effectively decolorized using Fenton and photo-Fenton processes with a little difference between the two processes, 97.5% and 98.1%, respectively, for optimal conditions. This small difference in dye decolorization is not similar to TOC removal: with photo-Fenton process there is a significant increment (46.4% TOC removal) relatively to Fenton process (only 21.6% TOC removal). This fact indicates that although UV low-pressure mercury lamp has little effect on dye decolorization it is particularly important in dye mineralization.

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Metadata

Authors
LUCAS, M., & PERES, J.
Venue
Dyes and Pigments
Publisher
Elsevier BV
Published
2006
Volume
71
Issue
3
Pages
236-244
ISSN
0143-7208 (ISSN-L)
OpenAlex
W2020699033
Cited by
760
References
0
FWCI
20.13
Type
journal article
Language
en
Open access
green

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LUCAS, M., & PERES, J. (2006). Decolorization of the azo dye Reactive Black 5 by Fenton and photo-Fenton oxidation. Dyes and Pigments. https://doi.org/10.1016/j.dyepig.2005.07.007

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.