Enhanced adsorption of ketoprofen and 2,4-dichlorophenoxyactic acid on Physalis peruviana fruit residue functionalized with H2SO4: Adsorption properties and statistical physics modeling - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Chemical Engineering Journal Année : 2022

Enhanced adsorption of ketoprofen and 2,4-dichlorophenoxyactic acid on Physalis peruviana fruit residue functionalized with H2SO4: Adsorption properties and statistical physics modeling

Résumé

In this research, a functionalization of Physalis peruviana biomass with H2SO4 and its application in the adsorption of ketoprofen and 2,2-dichlorophenoxyactic acid is reported. In particular, the adsorption properties of this biomass were improved through a sulfuric acid treatment to enhance its removal performance of organic molecules. Surface chemistry of this modified biomass was also characterized. Experimental adsorption isotherms of these organic pollutants were determined at 298 – 328 K and pH 2. A multilayer statistical physics model was used in the data modeling to analyze the corresponding adsorption mechanism. Results showed that the endothermic multilayer adsorption of ketoprofen was a multi-molecular process where molecular aggregation could be expected. On the other hand, the adsorption of 2,2-dichlorophenoxyactic acid on this functionalized biomass was multi-anchoring. Adsorption energies (ΔE1) varied from 4.13 to 5.53 kJ/mol for KTP and from 7.54 to 7.96 kJ/mol for 2,4-D herbicide. These results showed that physical adsorption forces were involved in the removal of these organic molecules with this functionalized biomass because the adsorption energies < 40 kJ/mol.

Dates et versions

hal-03671019 , version 1 (18-01-2024)

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Citer

Fatma Dhaouadi, Lotfi Sellaoui, Sonia Taamalli, Florent Louis, Abderrahman El Bakali, et al.. Enhanced adsorption of ketoprofen and 2,4-dichlorophenoxyactic acid on Physalis peruviana fruit residue functionalized with H2SO4: Adsorption properties and statistical physics modeling. Chemical Engineering Journal, 2022, 445, pp.136773. ⟨10.1016/j.cej.2022.136773⟩. ⟨hal-03671019⟩
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