PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 28, 2026The Chemical Educator0 citations

An Expeditious and Flexible Computational Exercise to Teach Heterocycle Acylation

View Full Paper
ARAdam B. RiddellASAdrian L. Schwan

Key Points

  • The aim is to offer students practical experience with computational chemistry and insights into heterocycle chemistry.
  • Designed rapid computational experiments on electrophilic acylation of furan and N-substituted pyrroles.
  • Used Gaussian/Gaussview and ChemDraw software for the exercises.
  • Focused on the educational integration of these computational methods into organic chemistry curricula.
  • Students gain a broader understanding of 5-membered heterocycles.
  • Increased familiarity with computational chemistry concepts and procedures.
  • Practical application of the Hammond Postulate within a chemical context.

Abstract

A set of inexpensive, rapid and pedagogically beneficial computational experiments focused on the electrophilic acylation of furan and N-substituted pyrroles have been designed with the intent of inclusion into an upper year organic chemistry/heterocycle course or laboratory. The purpose of these experiments is to give students a larger breadth of information on the chemistry of 5-membered heterocycles, more experience with computational chemistry concepts/procedures, and a hands-on example for applying the Hammond Postulate to a chemical system. The main software tools utilized for this activity are Gaussian/Gaussview and ChemDraw which are accessible with an academic license. Details of our implementation and the educational value of this work are discussed. Suggestions for how the experiment could be evaluated are also provided. Gaussian output files are provided if the search for transition states is not part of a student’s exercise.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Riddell et al. (2025) studied this question.

synapsesocial.com/papers/69c771988bbfbc51511e1937https://doi.org/10.1333/s00897253013aa
Ask AI
Helpful
Bookmark
Share
View Full Paper