شماره ركورد كنفرانس
5048
عنوان مقاله
Optimization of C.I. Basic Yellow 2 removals by peroxi-coagulation process using carbon nanotube-PTFE cathode with response surface methodology
Author/Authors
Mahmoud ،Zarei Department of Applied Chemistry - Faculty of Chemistry - University of Tabriz, Tabriz, Iran , Darioush فSalari Department of Applied Chemistry - Faculty of Chemistry - University of Tabriz, Tabriz, Iran , Aligoli ،Niaei Department of Applied Chemistry - Faculty of Chemistry - University of Tabriz, Tabriz, Iran , Alireza ،Khataee Department of Applied Chemistry - Faculty of Chemistry - University of Tabriz, Tabriz, Iran
كليدواژه
Advanced oxidation processes , Experimental design , Response surface methodology , Peroxi-coagulation , Decolorization
سال انتشار
1388
عنوان كنفرانس
ششمين كنگره بين المللي مهندسي شيمي
زبان مدرك
انگليسي
چكيده فارسي
فاقد چكيده
چكيده لاتين
The decolorization of C.I. Basic Yellow 2 (BY2) by peroxi-coagulation process based on carbon nanotube -
polytetrafluoroethylene (CNT-PTFE) electrode as cathode was studied in a batch reactor. Response surface methodology
(RSM) was employed to assess individual and interactive effects of the four main independent parameters, electrolysis time,
initial pH, applied current and initial dye concentration of the dye solution on the decolorization efficiency and optimizing the
operating conditions of the treatment process. A central composite design (CCD) was employed for the optimization of
peroxi-coagulation treatment of BY2 dye. Analysis of variance (ANOVA) showed a high coefficient of determination value
(R2 = 0.949) and satisfactory prediction second-order regression model was derived. The optimum electrolysis time, initial
pH, applied current and initial dye concentration were found to be 16 min, 3, 200 mA and 15 mg l-1, respectively. This study
clearly showed that response surface methodology was one of the suitable methods to optimize the operating conditions and
maximize the dye removal.
كشور
ايران
تعداد صفحه 2
6
از صفحه
1
تا صفحه
6
لينک به اين مدرک