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Cited by 246

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Coagulation and Electrocoagulation of Wastes Polluted with Dyes

Cañizares, Pablo, Martínez, Fabiola, Jiménez, Carlos, Lobato, Justo, Rodrigo, Manuel A.·2006·Environmental Science & Technology

Abstract

Dyes are common pollutants in a large variety of industrial wastewaters, and the treatment of these wastes by coagulation has been extensively studied in the literature. This work is focused on the comparison of the efficiencies of the chemical and the electrochemical coagulation processes with hydrolyzing aluminum salts, and it tries to determine the similarities or differences that exist between the two coagulation processes. To do this, Eriochrome Black T solutions were used as a model of dye-polluted wastewater, and experiments of both coagulation technologies were planned to meet the same operation conditions. The pH, the aluminum concentration, the type of electrolyte, and the mode of dosing of aluminum were found to influence the process. Moreover, the speciation of aluminum was found to be the key parameter to explain the results, in terms of the mechanisms previously proposed in the literature for dissolved organic matter coagulation.

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Metadata

Authors
Cañizares, P., Martínez, F., Jiménez, C., Lobato, J., & Rodrigo, M. A.
Venue
Environmental Science & Technology
Published
2006-09-08
Volume
40
Issue
20
Pages
6418-6424
ISSN
  • 0013-936X (ISSN-L)
  • 1520-5851
OpenAlex
W2074413688
Cited by
246
References
0
FWCI
9.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Coagulation and Electrocoagulation of Wastes Polluted with Dyes. https://app.cochat.ai/papers/10.1021/es0608390
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Cañizares, P., Martínez, F., Jiménez, C., Lobato, J., & Rodrigo, M. A. (2006). Coagulation and Electrocoagulation of Wastes Polluted with Dyes. Environmental Science & Technology. https://doi.org/10.1021/es0608390

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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.