CASE (Computer-Assisted Structure Elucidation) Study for an Undergraduate Organic Chemistry Class

• Ronald Soong ^[1] ; Brent G. Pautler ^[2] ; Arvin Moser ^[2] ; Amy Jenne ^[1] ; Daniel H. Lysak ^[1] ; Antonio Adamo ^[1] ; Andre J. Simpson ^[1]
  1. [1] University of Toronto

     University of Toronto

     Canadá

     
  2. [2] Advanced Chemistry Development Inc., ACD/Labs, Canada
• Localización: Journal of chemical education, ISSN 0021-9584, Vol. 97, Nº 3, 2020, págs. 855-860
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • Structure determination via NMR spectroscopy is a fundamental topic taught in many advanced level chemistry courses. Despite its importance as an analytical instrument, many students find the principle behind NMR-facilitated structure determination difficult to embrace. To this end, an artificial intelligence (AI) software package, namely, ACD/Structure Elucidator, is used to facilitate the teaching of NMR spectroscopic principles and its application in de novo structure elucidation of large complex organic molecules in an upper level organic chemistry class. For the purpose of this technology report, a set of standard multidimensional NMR spectra of quinidine will be used as an example, illustrating to students the potential of computer-assisted structure elucidation (CASE) as a tool for better understanding NMR spectra.