Accessible and Interactive Learning of Spectroscopic Parameterization through Computer-Aided Training

Justin Marlowe, George Tsilomelekis

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)4527-4532
Number of pages6
JournalJournal of Chemical Education
Volume97
Issue number12
DOIs
StatePublished - Dec 8 2020

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Education

Keywords

  • Chemical Engineering
  • Computer-Based Learning
  • Distance Learning/Self Instruction
  • General Public
  • Laboratory Instruction
  • Physical Chemistry
  • Spectroscopy

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