Accessible and Interactive Learning of Spectroscopic Parameterization through Computer-Aided Training
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Justin Marlowe [1] ; George Tsilomelekis [1]
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[1] Rutgers University
Rutgers University
City of New Brunswick, Estados Unidos
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- Localización: Journal of chemical education, ISSN 0021-9584, Vol. 97, Nº 12, 2020, págs. 4527-4532
- Idioma: inglés
- Texto completo no disponible (Saber más ...)
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Resumen
The importance of utilizing spectroscopic techniques for unraveling structural and compositional changes in nonreacting and reacting systems is unquestionable. Nowadays, efforts are directed towards the introduction of relevant spectroscopic techniques to undergraduate students in order to prepare them for future careers in industry and academia, where these techniques are becoming ever-more popular for material quality control, reaction monitoring, process control, etc. Educators have increasingly shifted to programming-based lessons due to intrinsic benefits such as improved and broad accessibility over interactive lessons, dual exposure to chemistry and computer science topics, remote teaching, etc. In this work, a MATLAB-based program is built to expose students at higher education levels (undergraduates and graduates) as well as new users to spectral parameter estimation towards the collection of Raman spectra in a timely manner with high signal to noise ratio (S/N). The development of this intermediate-level intuitive understanding in spectroscopic techniques has the potential to serve as the interface between course curricula and hands-on experience in advanced techniques.
