Synthesis of nanoadsorbent and modeling of dye removal from wastewater using adaptive neuro-fuzzy inference system

被引：6
作者：
Mahmoodi, Niyaz Mohammad [1 ]
Hosseinabadi-Farahani, Zahra [1 ]
Chamani, Hooman [1 ]
机构：
[1] Inst Color Sci & Technol, Dept Environm Res, Tehran, Iran
来源：
DESALINATION AND WATER TREATMENT | 2017年 / 75卷
关键词：
CuMnO2; nanomaterial; Synthesis; ANFIS modeling; Dye removal; Kinetics; Isotherm; FERRITE NANOPARTICLE SYNTHESIS; AQUEOUS-SOLUTION; CARBON NANOTUBE; NANOCOMPOSITE SYNTHESIS; DEGRADATION ABILITY; ADSORPTIVE REMOVAL; METHYLENE-BLUE; TEXTILE DYES; EQUILIBRIUM; SHELL;
D O I：
10.5004/dwt.2017.20748
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
In this paper, CuMnO2 nanomaterial was synthesized and its dye removal ability was studied. The characteristics of the synthesized nanomaterial were investigated using Fourier transform infrared, scanning electron microscopy and X-ray diffraction. Adaptive neuro-fuzzy inference system (ANFIS) was applied for modeling of dye removal from colored wastewater. The effect of adsorbent dosage and dye concentration on dye removal was studied. Dye removal process followed pseudo-second-order model and Langmuir isotherm. Furthermore, good agreement between values of predicted and experimental dye removal percentage was observed. The results showed that ANFIS could effectively predict the behavior of the process.
引用
收藏
页码：245 / 252
页数：8
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