Optimisation of Reactive Black 5 dye removal by electrocoagulation process using response surface methodology

In this work, a regression model obtained from response surface methodology (RSM) was proposed for the electrocoagulation (EC) treatment of textile wastewater. The Reactive Black 5 dye (RB5) was used as a model dye to evaluate the performance of the model design. The effect of initial solution pH, a...

Full description

Saved in:
Bibliographic Details
Published in:Water science and technology 2017-02, Vol.75 (3-4), p.952-962
Main Authors: Mook, W T, Aroua, M K, Szlachta, M, Lee, C S
Format: Article
Language:English
Subjects:
CI Reactive Black 5
Color removal
Coordination compounds
Design of experiments
Diffraction patterns
Dyes
Electrochemical Techniques - methods
Electrocoagulation
Electrodes
Electrolytes
Flocculation
Hazardous substances
Hydrogen-Ion Concentration
Iron
Mathematical models
Model accuracy
Models, Theoretical
Naphthalenesulfonates - analysis
pH effects
Predictions
Removal
Response surface methodology
Sewage - chemistry
Sludge
Software
Studies
Textile industry
Textile industry wastewaters
Variance analysis
Waste Water - chemistry
Wastewater
Wastewater treatment
Water Pollutants, Chemical - analysis
Water Purification - methods
X-Ray Diffraction
Zeta potential
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this work, a regression model obtained from response surface methodology (RSM) was proposed for the electrocoagulation (EC) treatment of textile wastewater. The Reactive Black 5 dye (RB5) was used as a model dye to evaluate the performance of the model design. The effect of initial solution pH, applied current and treatment time on RB5 removal was investigated. The total number of experiments designed by RSM amounted to 27 runs, including three repeated experimental runs at the central point. The accuracy of the model was evaluated by the F-test, coefficient of determination (R ), adjusted R and standard deviation. The optimum conditions for RB5 removal were as follows: initial pH of 6.63, current of 0.075 A, electrolyte dose of 0.11 g/L and EC time of 50.3 min. The predicted RB5 removal was 83.3% and the percentage error between experimental and predicted results was only 3-5%. The obtained data confirm that the proposed model can be used for accurate prediction of RB5 removal. The value of the zeta potential increased with treatment time, and the X-ray diffraction pattern shows that iron complexes were found in the sludge.
ISSN:0273-1223
1996-9732
DOI:10.2166/wst.2016.563