MnFe 2 O 4 @SiO 2 @CeO 2 core-shell nanostructures for applications in water remediation.
Garret DeeHend ShayoubHelen McNeillItziar Sánchez LozanoAran RaffertyYurii K Gun'koPublished in: RSC advances (2023)
Removal of dye pollutants from wastewater is among the most important emerging needs in environmental science and engineering. The main objective of our work is to develop new magnetic core-shell nanostructures and explore their use for potential removal of pollutants from water using an external magnetic field. Herein, we have prepared magnetic core-shell nanoparticles that demonstrated excellent dye pollutant adsorbent properties. These nanoparticles are composed of a manganese ferrite magnetic core coated with silica, to protect the core and enable further functionalisation, then finally coated with ceria, which is shown to be an effective adsorbent. The magnetic core-shell nanostructures have been synthesized by a modification of solvothermal synthesis. The nanoparticles were fully characterised at each stage of the synthesis by powder X-ray diffraction (pXRD), transmission electron microscopy (TEM), vibrating sample magnetometry (VSM) and Fourier transform infrared spectroscopy (FTIR). These particles were found to be effective in removing methylene blue (MB) dye from water, which was validated by UV-visible (UV-vis) spectroscopy. These particles can be quickly removed from solution using a permanent magnet and then can be recycled after being placed in the furnace at 400 °C to burn off any organic residues. The particles were found to retain their ability to adsorb the pollutant after several cycles and TEM images of the particles after several cycles showed no change in the morphology. This research demonstrated the capacity of magnetic core-shell nanostructures to be used for water remediation.
Keyphrases
- molecularly imprinted
- electron microscopy
- aqueous solution
- solid phase extraction
- highly efficient
- public health
- high resolution
- heavy metals
- magnetic resonance imaging
- wastewater treatment
- machine learning
- mass spectrometry
- computed tomography
- walled carbon nanotubes
- risk assessment
- single molecule
- human health
- optical coherence tomography