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Regression and Mathematical Modeling of Fluoride Ion Adsorption From Contaminated Water Using a Magnetic Versatile Biomaterial & Chelating Agent: Insight on Production & Experimental Approaches, Mechanism and Effects of Potential Interferers Publisher



Dehghani MH1, 2 ; Karri RR3 ; Lima EC4 ; Mahvi AH1, 2 ; Nazmara S1 ; Ghaedi AM5 ; Fazlzadeh M1 ; Gholami S1
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Authors Affiliations
  1. 1. Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Institute for Environmental Research, Center for Solid Waste Research, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Petroleum and Chemical Engineering, Faculty of Engineering, Universiti Teknologi Brunei, Brunei Darussalam
  4. 4. Laboratory of Environmental Technology and Analytical Chemistry (Latama), Institute of Chemistry, Federal University of Rio Grande do Sul (UFRGS), Av. Bento Goncalves 9500, Postal Box 15003, Porto Alegre, 91501-970, RS, Brazil
  5. 5. Young Researchers Club, Gachsaran Branch, Islamic Azad University, Gachsaran, Iran

Source: Journal of Molecular Liquids Published:2020


Abstract

Fluoride is one of the chemicals that enter the human body through drinking water and, at higher concentrations, can cause various long-term health effects. Owing to remove the pollutant from aqueous solutions on large-scale, researchers are always exploring efficient, inexpensive, and easily recoverable adsorbents. In this research study, a versatile magnetic biomaterial & chelating agent (Chitosan) is used as an adsorbent for fluoride removal. In the present research, chitin was extracted from discarded shrimp shells. The obtained Chitosan was characterized based on its yielding, moisture and ash content, degree of acetylation and water binding capacity according to standard protocols. Also, in this study, differential evolution optimization is used to evaluate isotherm and kinetic model parameters using nonlinear model expressions, thus depicting inherent mechanisms. The isotherm and kinetic studies revealed that the adsorption process follows Langmuir and the pseudo 2nd order kinetic model. The interactive effect of process variables is investigated, and their optimal conditions for higher removal efficiency are estimated using response surface methodology. A quadratic model was used to predict removal efficiency at different operating conditions, which resulted in R2 of 0.9949. Optimum adsorption efficiency (93.1%) was observed at an adsorbent rate of 1 g/L, initial concentration of 1 mg/L, pH of 3, and contact time of 25 min. The thermodynamic study is indicating that the process is exothermic and spontaneous. The effect of interventions such as chloride, acidic, and sulfate on fluoride removal was also investigated, and results indicated that Chitosan-Fe3O4 is also efficient in their presence. A hybrid model of ANN and GA predicted the fluoride removal at different operating conditions, and results indicated that prediction values result in R2 of 0.9825. Thus, these results confirm the remarkable ability of Chitosan-Fe3O4 nanocomposite for fluoride removal. © 2020 Elsevier B.V.
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