Effect of total dissolved solids (TDS) on removal of fluoride from synthetic wastewater using alumina: Batch study, modelling, and optimization

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@Article{Kumar:2025:jics,

• author = "Abhay Kumar and Nandan Shashikant Prabhune and Bhaskar Bishayee and Sushmita Nandi and Abhilasha Rai and Bulti Kandar and Sandip Kumar Lahiri and Susmita Dutta",
• title = "Effect of total dissolved solids ({TDS)} on removal of fluoride from synthetic wastewater using alumina: Batch study, modelling, and optimization",
• journal = "Journal of the Indian Chemical Society",
• year = "2025",
• volume = "102",
• number = "1",
• pages = "101552",
• keywords = "genetic algorithms, genetic programming, Alumina, Adsorption, Fluoride removal, Synthetic wastewater, Modelling and optimization",
• ISSN = "0019-4522",
• URL = "https://www.sciencedirect.com/science/article/pii/S0019452224004321",
• DOI = "doi:10.1016/j.jics.2024.101552",
• abstract = "The present study aims to compare the efficiency of fluoride removal using activated alumina from synthetic wastewater at low and high total dissolved solids (TDS). The alumina was initially preconditioned with 1.0 percent NaOH followed by 2.0 percent HCl and water before it was used for the treatment of wastewater. The physio-chemical characterisation of native, preconditioned, and spent (after adsorption of fluoride from wastewater without and with TDS) alumina samples were done using Field Emission Scanning Electron Microscope (FESEM), Energy Dispersive X-Ray Spectroscopy (EDX), X-Ray Diffraction (XRD), Brunauer-Emmett-Teller (BET), Fourier Transform Infrared (FTIR) Spectroscopy and Thermo-Gravimetric Analysis (TGA). The operating parameters like adsorbent dose (10-25 g/L), initial fluoride concentration (5-10 mg/L), and adsorption time (0-180 min) were varied during batch study to investigate their effect on fluoride removal efficiency from synthetic wastewater in both the cases (without and with TDS). Freundlich isotherm model and Pseudo 2nd order kinetic model holds good to represent equilibrium and kinetic data, respectively. The reusability of spent alumina was tested up to two cycles. An accurate Multigene Genetic Programming (MGGP) model was developed using experimental data to establish the relationship between the input variables of the adsorption process and the percentage removal of fluoride in each cases independently. The most effective MGGP design and MGGP algorithm were evaluated using an automatic exhaustive search. Finally, the optimum values of input parameters for both the cases were analysed using Grey-wolf Optimisation (GWO) technique to maximize fluoride removal efficiency",

}

Genetic Programming entries for Abhay Kumar Nandan Shashikant Prabhune Bhaskar Bishayee Sushmita Nandi Abhilasha Rai Bulti Kandar Sandip Kumar Lahiri Susmita Dutta

Citations