PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 19, 2026Petroleum Chemistry0 citations

Kinetic Features of Cumene Dehydrogenation over Porous Catalytic Converters

View Full Paper
AFAlexey FedotovDGDanil Yu. GrachevRKR. D. Kapustin

Key Points

  • The aim was to investigate the kinetics of cumene dehydrogenation and understand the reaction mechanisms involved.
  • Studied cumene dehydrogenation in porous ceramic converters modified with tungsten oxide.
  • Analyzed reaction kinetics under various conditions to assess thermodynamic stability.
  • Evaluated activation energy and reaction rate as functions of temperature.
  • Dehydrogenation followed a first-order kinetic equation with respect to cumene.
  • Effective activation energy was measured at 161 kJ/mol.
  • Proposed a stepwise mechanism involving cumene adsorption, hydrogen abstraction, and recombination.

Abstract

The kinetics of cumene dehydrogenation in the channels of porous ceramic converters modified with tungsten oxide were investigated. It was shown that, under the reaction conditions studied, this process occurs far from thermodynamic equilibrium in an open system and follows a first-order kinetic equation with respect to cumene. Based on the effective activation energy (161 kJ/mol) and an analysis of the reaction rate–temperature relationship, a stepwise sequence of surface dehydrogenation reactions over WO3 is proposed: adsorption of cumene on W6+ acid sites, hydrogen abstraction leading to the formation of metastable carbenium ions, and hydrogen recombination on the catalyst surface. The resulting activation energy and pre-exponential factor (1.85 × 108) are consistent with values previously reported for the dehydrogenation of alkylbenzenes over oxide catalysts, thereby supporting the validity of the proposed kinetic model.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Fedotov et al. (2026) studied this question.

synapsesocial.com/papers/69bb9212496e729e6297f5bbhttps://doi.org/10.1134/s0965544125601620
Ask AI
Helpful
Bookmark
Share
View Full Paper