Developing Expertise in 1 H NMR Spectral Interpretation

Advancements in organic chemistry depend upon chemists' ability to interpret NMR spectra, though research demonstrates that cultivating such proficiency requires years of graduate-level study. The organic chemistry community thus needs insight into how this expertise develops to expedite learni...

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Veröffentlicht in:Journal of organic chemistry 2021-01, Vol.86 (2), p.1385-1395
Hauptverfasser: Connor, Megan C, Glass, Benjamin H, Finkenstaedt-Quinn, Solaire A, Shultz, Ginger V
Format: Artikel
Sprache:eng
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Zusammenfassung:Advancements in organic chemistry depend upon chemists' ability to interpret NMR spectra, though research demonstrates that cultivating such proficiency requires years of graduate-level study. The organic chemistry community thus needs insight into how this expertise develops to expedite learning among its newest members. This study investigated undergraduate and doctoral chemistry students' understanding and information processing during the interpretation of H NMR spectra and complementary IR spectra. Eighteen undergraduate and seven doctoral chemistry students evaluated the outcome of a series of syntheses using spectra corresponding to the products. Eye movements were measured to identify differences in cognitive processes between undergraduate and doctoral participants, and interviews were conducted to elucidate the chemical assumptions that guided participants' reasoning. Results suggest five areas of understanding are necessary for interpreting spectra, and progress in understanding corresponds to increasing knowledge of experimental and implicit chemical variables. Undergraduate participants exhibited uninformed bidirectional processing of all information, whereas doctoral participants exhibited informed unidirectional processing of relevant information. These findings imply the community can support novices' development of expertise by cultivating relevant understanding and encouraging use of informed interpretation strategies, including preliminary evaluation of relevant variables, prediction of expected spectral features, and search for complementary data across spectra.
ISSN:0022-3263
1520-6904
DOI:10.1021/acs.joc.0c01398