Login / Signup

Development of the Sb 4 O 5 Cl 2 @NbSe 2 Composite: The Impact of 2H-NbSe 2 Nanoparticles on Sb 4 O 5 Cl 2 and Their Application for the Removal of Cr(VI)/Fe(III) and Methyl Orange from Wastewater.

Sangita DasSayantani PaulBibaswan SenPratyasha RudraSwastik MondalSk Imran Ali
Published in: Inorganic chemistry (2024)
A potential adsorbent, Sb 4 O 5 Cl 2 @NbSe 2 composite, was generated from the Sb 4 O 5 Cl 2 photocatalyst and 5 wt % layered 2H-NbSe 2 nanoparticles for the highly effective removal of Cr(VI) and Fe(III) ions and methyl orange (MO) from aqueous solution, and a comparison was drawn against the precursors. Sb 4 O 5 Cl 2 crystallites and NbSe 2 nanoparticles were synthesized hydrothermally, and the composite was prepared by the incipient wetness impregnation technique. The crystal structure of Sb 4 O 5 Cl 2 was determined by single-crystal X-ray diffraction (SCXRD) data. Powder X-ray diffraction (PXRD) study revealed the 2H phase of NbSe 2 nanoparticles. Field emission scanning electron microscopy (FESEM) analysis confirmed the formation of the spherical-shaped NbSe 2 nanoparticles from rod-shaped bulk 2H-NbSe 2 . Morphological changes from the hexagonal to irregular prismatic shape were found upon the formation of the Sb 4 O 5 Cl 2 @NbSe 2 composite compared to pure Sb 4 O 5 Cl 2 . Negative ζ-potential values indicated that electrostatic interactions were the predominant factor for the adsorption process. Sb 4 O 5 Cl 2 @NbSe 2 provided removal efficiencies of 99% for MO in 6 h, 96.52% for Cr(VI) within 2.5 h, and 92.43% for Fe(III) within 4 h of 10 mg/L initial concentration. The maximum adsorption capacities of the composite for MO, Fe(III), and Cr(VI) were found to be 66.56, 131.48, and 122.30 mg/g, respectively, as calculated using the Langmuir isotherm equation.
Keyphrases
  • electron microscopy
  • aqueous solution
  • high resolution
  • machine learning
  • metal organic framework
  • mass spectrometry
  • climate change
  • quantum dots
  • gold nanoparticles
  • artificial intelligence
  • big data
  • deep learning