Login / Signup

Mechanistic Insight into Catalytic Combustion of Ethyl Acetate on Modified CeO 2 Nanobelts: Hydrolysis-Oxidation Process and Shielding Effect of Acetates/Alcoholates.

Zude ShenErhao GaoXinyu MengJiacheng XuYan SunJiali ZhuJing LiZuliang WuWei WangShuiliang YaoQiguang Dai
Published in: Environmental science & technology (2023)
In this study, based on the comparison of two counterparts [Mn- and Cr-modified CeO 2 nanobelts (NBs)] with the opposite effects, some novel mechanistic insights into the ethyl acetate (EA) catalytic combustion over CeO 2 -based catalysts were proposed. The results demonstrated that EA catalytic combustion consisted of three primary processes: EA hydrolysis (C-O bond breakage), the oxidation of intermediate products, and the removal of surface acetates/alcoholates. Rapid EA hydrolysis typically occurs on surface acid/base sites or hydroxyl groups, and the removal of surface acetates/alcoholates resulting from EA hydrolysis is considered the rate-determining step. The deposited acetates/alcoholates like a shield covered the active sites (such as surface oxygen vacancies), and the enhanced mobility of the surface lattice oxygen as an oxidizing agent played a vital role in breaking through the shield and promoting the further hydrolysis-oxidation process. The Cr modification impeded the release of surface-activated lattice oxygen from the CeO 2 NBs and induced the accumulation of acetates/alcoholates at a higher temperature due to the increased surface acidity/basicity. Conversely, the Mn-substituted CeO 2 NBs with the higher lattice oxygen mobility effectively accelerated the in situ decomposition of acetates/alcoholates and facilitated the re-exposure of surface active sites. This study may contribute to a further mechanistic understanding into the catalytic oxidation of esters or other oxygenated volatile organic compounds over CeO 2 -based catalysts.
Keyphrases
  • hydrogen peroxide
  • anaerobic digestion
  • ionic liquid
  • air pollution
  • molecular docking
  • metal organic framework
  • sensitive detection