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Removal of Acid Brown 354 from wastewater by aminized cellulose acetate nanofibers: experimental and theoretical study of the effect of different parameters on adsorption efficiency

Authors :
Mehran Namjoufar
Ali Farzi
Afzal Karimi
Source :
Water Science and Technology, Vol 83, Iss 7, Pp 1649-1661 (2021)
Publication Year :
2021
Publisher :
IWA Publishing, 2021.

Abstract

Wastewater effluents usually involve dyes that are dangerous for aquatic life and other environments. Many of these dyes are toxic, carcinogenic, and can cause skin and eye irritation. In this study, firstly aminized cellulose acetate was prepared from cellulose acetate and applied for the adsorption of Acid Brown 354 from aqueous solutions. The effects of different parameters including adsorbent dosage, pH, temperature, and initial concentration of dye on adsorption capacity were examined. Results showed that removal efficiency of dye declined by increasing values of all parameters. Finally, maximum removal of dye was achieved in the presence of 0.1 g adsorbent, pH of 2, and 10 mg/L of initial dye concentration at a temperature of 25 °C. Also, different adsorption isotherms were investigated including Langmuir, Temkin, and Freundlich models and results demonstrated that the adsorption isotherm of dye followed the Freundlich model with a correlation coefficient of 0.988 revealing that the bond between the dye and the adsorbent is strong. Finally, kinetic study indicated that the adsorption of dye is exactly governed by pseudo-second-order kinetics explaining that the adsorption process is chemical and the adsorbent can not be reused. HIGHLIGHTS Synthesis of aminized cellulose acetate nanofibers (ACA) with hydrophilic and alkaline properties.; Removal of Acid Brown 354 dye by ACA nanofibers and studying the effect of different parameters.; Investigation of equilibrium isotherms and equilibrium thermodynamic parameters and introducing the best isotherm model.; Study of kinetics and mechanism of the dye removal process and proposing the best kinetic model.;

Details

Language :
English
ISSN :
02731223 and 19969732
Volume :
83
Issue :
7
Database :
Directory of Open Access Journals
Journal :
Water Science and Technology
Publication Type :
Academic Journal
Accession number :
edsdoj.065d9530ef4a4af99558ba5082ae3186
Document Type :
article
Full Text :
https://doi.org/10.2166/wst.2021.070