Modeling and Optimization Adsorption of MB Dye by Fe3O4-CS-GO Nanocomposite from Aqueous solution using of ANN and GRNN

سال انتشار: 1398
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 337

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شناسه ملی سند علمی:

NSCEI09_131

تاریخ نمایه سازی: 19 آبان 1398

چکیده مقاله:

In this work, the magnetic biopolymer loaded on the graphene oxide (Fe3O4-CS-GOnanocomposite) was used for the removal of methylene blue from aqueous water. Artificial Neural network (ANN) and general regression neural network (GRNN) was used for modeling the central composite design (CCD) experimental system and predicting the optimal input values including, adsorbent dosage, initial dye concentration, pH, and sonication time. Experiments were performed under laboratory batch conditions. The outcomes of suggested ANN and GRNN modeling were then compared to a response surface methodology, which was utilized to assess the effect of four factors on the adsorption of methylene blue in aqueous solution. According to this result, the determination coefficient for ANN and GRNN were obtained 0.99 and 0.98, respectively. Also, in RSM model R2 was calculated 0.90 for mentioned dye. Furthermore, the detailed kinetic, isotherm, thermodynamic, reusability cycles and optimization (by GA and DF) studies were conducted to evaluate the behavior and adsorption mechanism of methylene blue on the surface of Fe3O4-CS-GO nanocomposite

نویسندگان

M. H. Omidi

Department of Chemistry, Faculty of Science, University of Guilan, P.O. Box: ۱۹۱۴۱, Rasht, Iran

B Ghalami- Choobar

Department of Chemistry, Faculty of Science, University of Guilan, P.O. Box: ۱۹۱۴۱, Rasht, Iran

M.H Ahmadi Azqhandi

Applied Chemistry Department, Faculty of Gas and Petroleum (Gachsaran), Yasouj University, Gachsaran, ۷۵۸۱۳-۵۶۰۰۱, Iran