2012
DOI: 10.1186/1735-2746-9-23
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Optimization of Acid Black 172 decolorization by electrocoagulation using response surface methodology

Abstract: This paper utilizes a statistical approach, the response surface optimization methodology, to determine the optimum conditions for the Acid Black 172 dye removal efficiency from aqueous solution by electrocoagulation. The experimental parameters investigated were initial pH: 4–10; initial dye concentration: 0–600 mg/L; applied current: 0.5-3.5 A and reaction time: 3–15 min. These parameters were changed at five levels according to the central composite design to evaluate their effects on decolorization through… Show more

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Cited by 32 publications
(18 citation statements)
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References 24 publications
(26 reference statements)
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“…As illustrated in Figure , dye removal efficiency improved by increasing the current density and reaction time and decreasing the initial dye concentration and initial pH. These results are in agreement with our previous work .…”
Section: Resultssupporting
confidence: 92%
See 1 more Smart Citation
“…As illustrated in Figure , dye removal efficiency improved by increasing the current density and reaction time and decreasing the initial dye concentration and initial pH. These results are in agreement with our previous work .…”
Section: Resultssupporting
confidence: 92%
“…In the recent years, various processes such as biological methods , adsorption , chemical coagulation , ion exchange , membrane filtration , photocatalysis , oxidation , and electrocoagulation (EC) have been used for the treatment of azo dye‐containing wastewaters. EC treatment process has been gaining popularity in the treatment of wastewaters containing azo dyes because of providing a simple, reliable, and cost‐effective procedure [, ].…”
Section: Introductionmentioning
confidence: 99%
“…This value is not exceptional, since the fi tness of models for dye processing in aquaeous solution is usually high in previous research, e.g. Arabi [29] reached 0.950 for the prediction of vat Green 1 dye decolourization by nano zero valent Iron, Sadri [10] reached 0.945 for prediction of acid Red 119 decolourization by PAC, and Taheri [30] reached 0.945 for the prediction of acid Black 172 decolourization by the electrocoagulation method using alum electrode, even though they used a complex mathematical method like response surface methodology, which required statistical and experimental knowledge. Therefore, the neural network modeling effectively simulates and predicts the infl uential factors of the gum coagulation process.…”
Section: Artifi Cial Neural Network Modelmentioning
confidence: 98%
“…Two most common designs extensively used in RSM are the central composite design (CCD) and the Box-Behnken design. The CCD is immensely appropriate for sequential experimentation and allows a reasonable amount of information for testing the lack of fit while not involving an unusually large number of design points [42].…”
Section: Desalination and Water Treatmentmentioning
confidence: 99%