Development and Characterization of Graphene Oxide based Composite for Adsorptive Removal of Azo Reactive Dyes from Aqueous Media
الموضوعات :
Zahra Zareei
1
(PhD candidate in Polymer, Department of Polymer and Textile Engineering
Islamic Azad University of Yazd)
saeid Jafari
2
(Department of Polymer and Textile Engineering
Islamic Azad University of Yazd)
Mohammad D.ahmadabadi
3
(Department of Textile and Polymer Engineering)
Mohammadali Shirgholami
4
(Department of textile and polymer engineering, Yazd branch, Islamic Azad University, Yazd, Iran)
Masoud Rohani Moghadam
5
(Department of Chemistry, Faculty of Sciences, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran)
الکلمات المفتاحية: Composite, Adsorption, Graphene oxide, Colorful Pollutants,
ملخص المقالة :
In this study, we tried to present an efficient method for removal of Reactive red 241 (RR241) from aqueous media, using a modified carbon composite with GO sheets. The prepared nanocomposites were then charcterizded by commonly identical techniques involve FESEM, BET and FT-IR. In removal studies, various parameters affecting the adsorption process including pH, time, adsorbent dose, temperature as well as the amount of GO in the constraction of composite were studied by respond surface method. The optimum conditions for removal of 100 mg/L of dye was pH of 5.0, time of 75 minutes and the adsorbent dose of 1.47 g/L containing 4.15 wt.% of GO. The maximum removal of 96% was also achieved under optimum conditions. Experiments showed that the adsorption was more consistent with the Langmuir equations and the maximum adsorption under this model was 160 mg/g. The results of the removal experiments showed that the amount of the adsorbent, GO content and pH had a significant effect on RR241 removal. BET analysis indicated that the addition of GO to the carbon composite structure improved the pore size, total pore volume, and effective surface area of the composite. Also, isotherms, kinetics and thermodynamic studies of adsorption were depicted that Langmuir isotherm model, pseudo-second-order kinetic model and self-adsorption are suitable models for RR241dye adsorption.
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