title: Optimization and modelling of synthetic azo dye wastewater treatment using Graphene oxide nanoplatelets: Characterization toxicity evaluation and optimization using Artificial Neural Network.
abstract: Azo dyes pose a major threat to current civilization by appearing in almost all streams of wastewater. The present investigation was carried out to examine the potential of Graphene oxide (GO) nanoplatelets as an efficient, cost-effective and non-toxic azo dye adsorbent for efficient wastewater treatment. The treatment process was optimized using Artificial Neural Network for maximum percentage dye removal and evaluated in terms of varying operational parameters, process kinetics and thermodynamics. A brief toxicity assay was also designed using fresh water snail Bellamya benghalensis to analyze the quality of the treated solution. 97.78% removal of safranin dye was obtained using GO as adsorbent. Characterization of GO nanoplatelets (using SEM, TEM, AFM and FTIR) reported the changes in its structure as well as surface morphology before and after use and explained its prospective as a good and environmentally benign adsorbent in very low quantities. The data recorded when subjected to different isotherms best fitted the Temkin isotherm. Further analysis revealed the process to be endothermic and chemisorption in nature. The verdict of the toxicity assay rendered the treated permeate as biologically safe for discharge or reuse in industrial and domestic purposes.
authors.affiliation: Department of Environmental Science, University of Calcutta, 35 Ballygunge Circular Road, Kolkata 700 019, India.
authors.forename: Priya
authors.initials: P
authors.lastname: Banerjee
authors.affiliation: Department of Environmental Science, University of Calcutta, 35 Ballygunge Circular Road, Kolkata 700 019, India.
authors.forename: Shubhra
authors.initials: S
authors.lastname: Sau
authors.affiliation: Department of Chemical Engineering, Jadavpur University, 188, Raja S.C. Mullick Road, Kolkata 700 032, India. Electronic address: papitasaha@gmail.com.
authors.forename: Papita
authors.initials: P
authors.lastname: Das
authors.affiliation: Department of Environmental Science, University of Calcutta, 35 Ballygunge Circular Road, Kolkata 700 019, India.
authors.forename: Aniruddha
authors.initials: A
authors.lastname: Mukhopadhayay
mesh_terms: D000327:Adsorption; D001391:Azo Compounds / Q000737:chemistry / Q000633:toxicity*; D004396:Coloring Agents / Q000302:isolation & purification / Q000633:toxicity*; D003198:Computer Simulation; D006108:Graphite; D006863:Hydrogen-Ion Concentration; D007220:Industrial Waste / Q000517:prevention & control; D008751:Methylene Blue / Q000737:chemistry; D053758:Nanoparticles / Q000737:chemistry*; D016571:Neural Networks, Computer; D010087:Oxides / Q000737:chemistry; D010619:Phenazines / Q000302:isolation & purification / Q000633:toxicity*; D013816:Thermodynamics; D014865:Waste Disposal, Fluid / Q000379:methods*; D014874:Water Pollutants, Chemical / Q000302:isolation & purification / Q000633:toxicity*
chemical_list: D001391:Azo Compounds; D004396:Coloring Agents; D007220:Industrial Waste; D010087:Oxides; D010619:Phenazines; D014874:Water Pollutants, Chemical; D006108:Graphite; D008751:Methylene Blue; C009195:safranine T
keywords: Adsorption; Artificial Neural Network; Graphene oxide; Nanoplatelets; Oxidative stress; Toxicity