Epoxidation reactions are among the most significant transformations in organic synthesis, enabling the conversion of unsaturated compounds into epoxides with applications in polymers, fine chemicals, and pharmaceuticals. Accurate kinetic modeling of these reactions is essential for understanding mechanistic pathways, optimizing catalyst performance, and scaling up processes. This review examines the fundamental principles of kinetic modeling applied to epoxidation, discusses commonly used kinetic models, and evaluates the statistical tools, particularly the coefficient of determination (R2), which is used to assess model accuracy. Selected case studies from literature highlight the relevance of kinetic modeling in both homogeneous and heterogeneous systems, including industrially significant examples such as the epoxidation of vegetable oils and terpenes. The review concludes with perspectives on integrating advanced modeling techniques, mechanistic insights, and data-driven approaches to improve predictability and applicability in epoxidation kinetics.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Kinetic Modeling on Epoxidation Process

  • Mohd Jumain Jalil,
  • Intan Suhada Azmi,
  • Norhafini Hambali,
  • Noorfazlida Binti Mohamed,
  • Siti Nadia Abdullah,
  • Norin Hafizah Rahim,
  • Mohammad ‘Aathif Addli

摘要

Epoxidation reactions are among the most significant transformations in organic synthesis, enabling the conversion of unsaturated compounds into epoxides with applications in polymers, fine chemicals, and pharmaceuticals. Accurate kinetic modeling of these reactions is essential for understanding mechanistic pathways, optimizing catalyst performance, and scaling up processes. This review examines the fundamental principles of kinetic modeling applied to epoxidation, discusses commonly used kinetic models, and evaluates the statistical tools, particularly the coefficient of determination (R2), which is used to assess model accuracy. Selected case studies from literature highlight the relevance of kinetic modeling in both homogeneous and heterogeneous systems, including industrially significant examples such as the epoxidation of vegetable oils and terpenes. The review concludes with perspectives on integrating advanced modeling techniques, mechanistic insights, and data-driven approaches to improve predictability and applicability in epoxidation kinetics.