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Conflict of Interest: In relation to this article, we declare that there is no conflict of interest.

Publication history: Received September 16, 2013
Accepted December 4, 2013

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Electrochemical degradation of three reactive dyes using carbon paper cathode modified with carbon nanotubes and their simultaneous determination by partial least square method

Nader Djafarzadeh^† Mahdie Safarpour¹ Alireza Khataee^1†

Department of Chemistry, Faculty of Science, Islamic Azad University, Miyaneh Branch, Miyaneh, Iran ¹Research Laboratory of Advanced Water and Wastewater Treatment Processes, Department of Applied Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran

n.jafarzadeh@gmail.com

Korean Journal of Chemical Engineering, May 2014, 31(5), 785-793(9), 10.1007/s11814-013-0267-5

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Abstract

We investigated the treatment of a mixture of three reactive textile dyes (C. I. Reactive Red 195, C. I. Reactive Yellow 84 and C. I. Reactive Blue 69) by electro-Fenton (EF) process using carbon paper cathode modified with carbon nanotubes (CNTs). To study the degradation of mixture of three dyes, a rapid analytical methodology based on recording UV-Vis spectra during the EF process and the data treatment using partial least square (PLS) as a multivariate calibration_x000D_ method was developed. The three reactive dyes were quantified simultaneously despite the overlap of their spectra. Central composite design was used in the modeling and optimization of the electrochemical decolorization process. The independent variables for modeling were initial concentration of three dyes, applied current in the electrolysis system, and reaction time. Results indicated that the optimum applied current value was about 400mA for the EF process. Analysis of variance (ANOVA) showed that predicted responses by CCD match the experimental values logically with the amount of R2 more than 0.92.

Keywords

Electrochemical Treatment Carbon Nanotubes Spectrophotometric Determination Carbon Paper Central Composite Design

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