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Optimization of Acid Black 172 decolorization by electrocoagulation using response surface methodology.

Mahsa Taheri¹, Mohammad Reza Alavi Moghaddam, Mokhtar Arami

¹Associate Professor, Civil and Environmental Engineering Department, Amirkabir University of Technology, Tehran, Iran. alavim@yahoo.com.

Iranian Journal of Environmental Health Science & Engineering

|February 2, 2013

Summary

This study optimized electrocoagulation for Acid Black 172 dye removal using response surface methodology. Optimal conditions achieved 90.4% dye removal efficiency, demonstrating effective wastewater treatment.

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Area of Science:

Environmental Chemistry
Water Treatment Technologies

Background:

Acid Black 172 is a persistent dye pollutant in industrial wastewater.
Electrocoagulation offers a promising method for dye decolorization.

Purpose of the Study:

To determine optimal electrocoagulation conditions for Acid Black 172 removal.
To statistically model and validate dye removal efficiency.

Main Methods:

Response Surface Methodology (RSM) with Central Composite Design (CCD).
Investigated parameters: initial pH, dye concentration, applied current, and reaction time.
Analysis of Variance (ANOVA) to assess parameter significance.

Main Results:

A second-order regression model was developed with a high coefficient of determination (R2 = 94.48%).
Optimal conditions identified: pH 7, 300 mg/L dye concentration, 2 A current, and 9.16 min reaction time.
Experimental validation achieved 90.4% Acid Black 172 removal efficiency.

Conclusions:

RSM is effective for optimizing electrocoagulation of Acid Black 172.
The established model accurately predicts dye removal efficiency.
Optimized electrocoagulation provides an efficient solution for treating dye-contaminated wastewater.