Related Experiment Video
Updated: May 20, 2025

Preparation of Expanded Chitin Foams and their Use in the Removal of Aqueous Copper
Published on: February 27, 2021
A mechanistic insight into anionic phosphate adsorption on developed chitosan.ZnO@metakaolin biocomposite
Rachid El Kaim Billah1, Moonis Ali Khan2, Said Essenni3
1National school of applied sciences, Chouaib Doukkali University, Avenue Jabran Khalil Jabran B.P 299-24000, El Jadida, Morocco.
Abstract:
Due to their high efficiency, chitosan (Cs)-based materials are increasingly utilized for wastewater treatment applications. In this study, a novel Cs-based biocomposite, Cs.ZnO@Mk was developed by blending Cs with zinc oxide (ZnO) and metakaolin (Mk), and was evaluated for its capability as a biosorbent to remove phosphate (PO43-) ions from water. The biosorbent was characterized using FTIR, XRD, TGA, SEM, and XPS techniques. The determined optimal conditions for PO43- removal were pH 4, initial concentration 100 mg/L, and contact time 120 min, achieving 98.9 % PO43- removal efficiency. The adsorption isotherm and kinetic data were fitted well to Langmuir isotherm and pseudo-second-order kinetic models, while thermodynamic study affirmed that the adsorption process was exothermic. XPS analysis suggested that electrostatic attraction and ligand-exchange were the key mechanisms for PO43- adsorption. Further mechanistic insights were gained through density functional theory (DFT) calculations and non-covalent interaction (NCI) analysis. Regeneration and counter-ions effect studies confirmed the effectiveness and stability of Cs.ZnO@Mk during PO43- adsorption. This demonstrates well its potential as a robust biosorbent for effective PO43- removal from industrial effluents.
More Related Videos
09:43Study of Short Peptide Adsorption on Solution Dispersed Inorganic Nanoparticles Using Depletion Method
Published on: April 11, 2020
08:21Optimized Procedure for Determining the Adsorption of Phosphonates onto Granular Ferric Hydroxide using a Miniaturized Phosphorus Determination Method
Published on: May 18, 2018