Login / Signup

Co-Ti Bimetallic Complex-Induced Phase Modulation of Co@Black TiO 2 for Catalytic Hydrogenation of Cinnamaldehyde.

Jyotiranjan MishraPadariya MrugeshPalani S SubramanianSanjay Pratihar
Published in: Inorganic chemistry (2024)
Transition-metal-doped black titania, primarily in the anatase phase, shows promise for redox reactions, water splitting, hydrogen generation, and organic pollutant removal, but exploring other titania phases for broader catalytic applications is underexplored. This study introduces a synthetic approach using a Co-Ti bimetallic complex bridged by a 1,10-phenanthroline-5,6-dione ligand as a precursor for the synthesis of cobalt-doped black titania [Co@L2N@b-TiO 2 ]. The synthesis involves precise control of pyrolysis conditions, yielding a distinct structure dominated by the rutile phase over anatase, with active cobalt encapsulated within a nitrogen-doped graphitic layer, primarily as Co 0 rather than Co II and Co III . The synthesized material is employed for the selective hydrogenation of cinnamaldehyde (CAL) to cinnamyl alcohol (COL) under industrially viable conditions. The efficiency and selectivity of Co@L2N@b-TiO 2 was compared with other catalysts, including cobalt-doped rutile TiO 2 (Co@r-TiO 2 ), anatase TiO 2 (Co@a-TiO 2 ), and black titania (Co@b-TiO 2 ) as well as materials pyrolyzed under different atmospheres and temperatures, materials with phenanthroline ligands, and materials lacking any ligands. The superior performance of Co@L 2 N@b-TiO 2 is attributed to its high surface area, stable Co 0 within the nitrogen-doped graphitic layer, and composition of rutile and anatase phases of TiO 2 and Ti 2 O 3 (referred to as RAT), along with the synergistic interaction between RAT and Co 0 . These factors significantly influence the efficiency and selectivity of COL over hydrocinnamaldehyde (HCAL) and hydrocinnamyl alcohol (HCOL), indicating potential for broader applications beyond catalysis, particularly in designing of black titania-based materials.
Keyphrases
  • visible light
  • quantum dots
  • metal organic framework
  • oxidative stress
  • transition metal
  • machine learning
  • drug delivery
  • deep learning
  • big data