Use of Artificial Neural Network for Modeling and Prediction of Reactive Red Dye Removal from Wastewater Using Banana Peels Bio-sorbent

被引：0

作者：

Kamar, Firas Hashim ^{[1
]}

Niamat, Farrah E. ^{[2
]}

Faisal, Ayad A. H. ^{[2
]}

Mohammed, Ahmed A. ^{[2
]}

Nechifor, Aurelia Cristina ^{[3
]}

Nechifor, Gheorghe ^{[3
]}

机构：

[1] Middle Tech Univ, Inst Technol Baghdad, Baghdad, Iraq

[2] Baghdad Univ, Coll Engn, Dept Environm Engn, Baghdad, Iraq

[3] Univ Politehn Bucuresti, Dept Analyt Chem & Environm Engn, 1-7 Gheorghe Polizu Str, Bucharest 011061, Romania

来源：

REVISTA DE CHIMIE | 2018年 / 69卷 / 08期

关键词：

Dyes; biosorption; isotherms; kinetics; thermodynamic; AQUEOUS-SOLUTION; ACTIVATED CARBON; METHYLENE-BLUE; BIOSORPTION; ADSORPTION; SORPTION; PB(II);

D O I：

暂无

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

Bio-sorption of red dye from aqueous solutions onto banana peels was investigated. Effects of initial pH, bio-sorbent dose, initial concentration, contact time, and temperature were studied and they found of 3, 0.4 g/100 mL, 50 mg/L, 100 min and 298 K respectively with removal efficiency of 93.44%. Artificial neural network was used for prediction of adsorption efficiency and its outputs showed a better fit than other traditional isotherm models. The negative values of Delta G degrees and Delta H degrees indicate that the bio-sorption of red dye was favored and exothermic. The sensitivity analysis signified that the pH was the most influential variable.

引用

页码：1919 / 1926

页数：8

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