Electrochemical treatment of dye solution containing C.I. Basic Yellow 2 by the peroxi-coagulation method and modeling of experimental results by artificial neural networks

Darioush Salari*, Aligoli Niaei, Alireza Khataee, Mahmoud Zarei

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

150 Citations (Scopus)

Abstract

In this paper, the peroxi-coagulation process was used to assess the decoloration of C.I. Basic Yellow 2 (BY2) in aqueous solutions. Decoloration experiments were performed in the presence of sulfate electrolyte media at pH 3.0 with a gas-diffusion electrode (GDE) as cathode. Electrochemical behavior of fabricated GDE and the amount of electrogenerated H2O2 on the graphite felt and GDE surface were investigated. The effect of operational parameters such as applied current, initial pH and initial dye concentration were studied in an attempt to reach higher decoloration efficiency. Up to 90% decoloration of the dye occurs in less than 30 min. The mineralization of the dye was investigated by total organic carbon (TOC) measurements that showed 81% mineralization of 20 mgl-1 dye at 6 h. An artificial neural networks (ANN) model was developed to predict the performance of the decoloration efficiency by peroxi-coagulation process based on experimental data. A comparison between the predicted results of the designed ANN model and experimental data was also conducted. The model can describe the decoloration efficiency under different conditions.

Original languageEnglish
Pages (from-to)117-125
Number of pages9
JournalJournal of Electroanalytical Chemistry
Volume629
Issue number1-2
DOIs
Publication statusPublished - 15 Apr 2009
Externally publishedYes

Keywords

  • Advanced oxidation processes
  • Decoloration
  • Gas-diffusion electrode
  • Mineralization
  • TOC

Fingerprint

Dive into the research topics of 'Electrochemical treatment of dye solution containing C.I. Basic Yellow 2 by the peroxi-coagulation method and modeling of experimental results by artificial neural networks'. Together they form a unique fingerprint.

Cite this