Removal of Cu2+ from aqueous solution by adsorption in a fixed bed column and Neural Network Modelling

Abstract Adsorption potential of shells of Sunflower to remove Cu2+ ions from aqueous solution was investigated using a fixed-bed adsorption column. The effects of inlet Cuo2+ concentration (20–60 mg/L), feed flow rate (9–21 mL/min) and bed height (5–15 cm), initial solution pH (3–5.6) and particle size (0.25–0.5, 0.5–1 and 1–2 mm) on the breakthrough characteristics of the adsorption system were investigated. The adsorption capacities of the adsorbent at different particle sizes (0.25–0.5, 0.5–1, 1–2 mm) were determined as 17.26, 7.36 and 5.48 mg/g, respectively. The highest experimental and theoretical bed capacities were obtained to be 25.95 and 26.22 mg/g at inlet Cuo2+ concentration of 60 mg/L, bed height of 5 cm and flow rate of 5 mL/min, pH of 5.6 and particle size of 0.25–0.5 mm. A relationship between the predicted and observed data was conducted. The ANN model yielded determination coefficient of 0.986 and root mean square error of 0.018. The results indicated that Sunflower waste is a suitable adsorbent for the removal of Cu2+ ions from aqueous solution.

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