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Jakub A. Konkol; George Tsilomelekis – Journal of Chemical Education, 2023
Preprocessing is a critical step in the analysis pipeline of spectroscopic data. However, students are rarely introduced to preprocessing when learning spectral techniques in laboratory courses which in turn may affect and delay their progress in the field. Despite its undoubtable importance, students will be mainly performing spectroscopic…
Descriptors: Laboratory Experiments, Science Instruction, Spectroscopy, Interaction
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Sunil Dehipawala; Tak Cheung – International Society for Technology, Education, and Science, 2024
The education science (or pedagogy based on scientific principles) of the learning of spectroscopy analysis in terms of critical thinking was examined in a community college setting with high school outreach and senor college transfer students enrolling in courses and/or projects. The most important discovery of science in the 20th Century was the…
Descriptors: Spectroscopy, Critical Thinking, Community Colleges, Science Instruction
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Ricardo J. Ferna´ndez-Tera´n; Estefani´a Sucre-Rosales; Lorenzo Echevarria; Florencio E. Hernández – Journal of Chemical Education, 2022
We present a detailed yet easy-to-follow discussion of the mathematical treatment of time-resolved spectroscopic data in a model-based approach. This is accompanied and complemented by an example of a colorful and pedagogically rich chemical reaction: the permanganate oxidation of sugars in basic aqueous media (often known as the chameleon…
Descriptors: Spectroscopy, Chemistry, Science Instruction, Mathematics
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Marquioni, Vinícius; Nunes, Francis Morais Franco; Novo-Mansur, Maria Teresa Marques – Journal of Chemical Education, 2021
Mass spectrometry is essential for large-scale protein identification in proteomics. By database searching of mass spectrometry data, it is possible to identify proteins without the need to interpret MS/MS spectra (de novo sequencing), which is time-consuming and not feasible as a systematic tool in proteomic analysis. Many authors have reported…
Descriptors: Spectroscopy, Biochemistry, Databases, Science Instruction
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Sedunov, Boris – International Society for Technology, Education, and Science, 2021
The contemporary Human activity utilizes huge volumes of digital data to solve efficiently multiple socio-economic, scientific and technical problems. Now the big data analysis is mainly oriented to the socioeconomic sphere with a goal to lift the profit. The science and technology to penetrate deeper in the nature of objects and systems under…
Descriptors: Teaching Methods, Data Analysis, Scientific Research, Fuels
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Elia Bergamin; Giacomo Fabris; Matteo Neffat; Paola Baron Toaldo; Daniela De Luchi; Renato Bonomi – Journal of Chemical Education, 2023
A class of 18 students attending the last year of an Italian high school was divided into groups and performed the extraction of pigments contained in hibiscus tea. Each group worked at a different temperature and carried out multiple extractions using distilled water as a solvent. By means of UV-vis spectroscopy it was possible to determine the…
Descriptors: Chemistry, Spectroscopy, Scientific Concepts, Secondary School Science
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Kaltcheva, Nadia; Nenkova, Maia – Physics Education, 2021
Many introductory astronomy courses include concepts related to basic stellar properties. In general, these are concepts that originate from the human perception of starlight. This observational aspect is not easy to incorporate in the classroom. We explore if these concepts could be developed using the built-in data in a planetarium software.…
Descriptors: Teaching Methods, Introductory Courses, Astronomy, Computer Software
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Hope E. Lackey; Rachel L. Sell; Gilbert L. Nelson; Thomas A. Bryan; Amanda M. Lines; Samuel A. Bryan – Journal of Chemical Education, 2023
The methodology and mathematical treatment of several classic multivariate methods for the analysis of spectroscopic data is demonstrated in a straightforward way that can be used as a basis for teaching an undergraduate introductory course on chemometric analysis. The multivariate techniques of classical least-squares (CLS), principal component…
Descriptors: Chemistry, Data Analysis, Optics, Lighting
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Lewis, Russell L.; Seal, Erin L.; Lorts, Aimee R.; Stewart, Amanda L. – Biochemistry and Molecular Biology Education, 2017
The undergraduate biochemistry laboratory curriculum is designed to provide students with experience in protein isolation and purification protocols as well as various data analysis techniques, which enhance the biochemistry lecture course and give students a broad range of tools upon which to build in graduate level laboratories or once they…
Descriptors: Spectroscopy, Undergraduate Students, Biochemistry, Laboratory Experiments
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Silverstein, Todd P. – Journal of Chemical Education, 2016
A highly instructive, wide-ranging laboratory project in which students study the effects of various parameters on the enzymatic activity of alcohol dehydrogenase has been adapted for the upper-division biochemistry and physical biochemistry laboratory. Our two main goals were to provide enhanced data analysis, featuring nonlinear regression, and…
Descriptors: Data Analysis, Student Projects, Kinetics, Biochemistry
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Topczewski, Joseph J.; Topczewski, Anna M.; Tang, Hui; Kendhammer, Lisa K.; Pienta, Norbert J. – Journal of Chemical Education, 2017
Nuclear magnetic resonance spectroscopy (NMR) plays a key role in introductory organic chemistry, spanning theory, concepts, and experimentation. Therefore, it is imperative that the instruction methods for NMR are both efficient and effective. By utilizing eye tracking equipment, the researchers were able to monitor how second-semester organic…
Descriptors: Organic Chemistry, Introductory Courses, Science Education, Scientific Concepts