Outstanding Sorption of Copper (II) Ions on Porous Phenothiazine-Imine-Chitosan Materials.
Andrei BejanLuminita MarinPublished in: Gels (Basel, Switzerland) (2023)
The aim of this work was to investigate the ability of a solid-state material, prepared by crosslinking chitosan with a phenothiazine-based aldehyde, to remove copper (II) ions from aqueous solutions, in a fast and selective manner. The metal uptake experiments, including the retention, sensibility, and selectivity against eight different metal ions, were realized via batch adsorption studies. The capacity of the material to retain copper (II) ions was investigated by spectrophotometric measurements, using poly(ethyleneimine) complexation agent, which allowed detection in a concentration range of 5-500 µM. The forces driving the copper sorption were monitored using various methods, such as FTIR spectroscopy, X-ray diffraction, SEM-EDAX technique, and optical polarized microscopy, and the adsorption kinetics were assessed by fitting the in vitro sorption data on different mathematical models. The phenothiazine-imine-chitosan material proved high ability to recover copper from aqueous media, reaching a maximum retention capacity of 4.394 g Cu (II)/g adsorbent when using a 0.5 M copper solution, which is an outstanding value compared to other chitosan-based materials reported in the literature to this date. It was concluded that the high ability of the studied xerogel to retain Cu (II) ions was the result of both physio- and chemo-sorption processes. This particular behavior was favored on one hand by the porous nature of the material and on the other hand by the presence of amine, hydroxyl, imine, and amide groups with the role of copper ligands.
Keyphrases
- aqueous solution
- solid state
- drug delivery
- oxide nanoparticles
- high resolution
- quantum dots
- wound healing
- systematic review
- single molecule
- sewage sludge
- hyaluronic acid
- metal organic framework
- computed tomography
- photodynamic therapy
- radiation therapy
- high speed
- ionic liquid
- big data
- mass spectrometry
- single cell
- atomic force microscopy
- crystal structure