Developing and Implementing an R Shiny Application to Introduce Multivariate Calibration to Advanced Undergraduate Students

Autor/inn/en	Antonelli, Tomás M.; Olivieri, Alejandro C.
Titel	Developing and Implementing an R Shiny Application to Introduce Multivariate Calibration to Advanced Undergraduate Students
Quelle	In: Journal of Chemical Education, 97 (2020) 4, S.1176-1180 (5 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Antonelli, Tomás M.) ORCID (Olivieri, Alejandro C.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0021-9584
DOI	10.1021/acs.jchemed.9b00850?ref=pdf
Schlagwörter	Advanced Students; Undergraduate Students; Chemistry; Science Instruction; Computer Software; Least Squares Statistics; Teaching Methods; Learning Activities; Quality Control; Measurement; Spectroscopy; Computer Assisted Instruction; Multivariate Analysis; Course Descriptions + Suchen Sie Ihr Suchwort? Fortgeschrittener; Chemie; Teaching of science; Science education; Natural sciences Lessons; Naturwissenschaftlicher Unterricht; Teaching method; Lehrmethode; Unterrichtsmethode; Lernaktivität; Qualitätskontrolle; Messverfahren; Spektroskopie; Computer based training; Computerunterstützter Unterricht; Multivariate Analyse; Kursstrukturplan
Abstract	During a short chemometrics course in the seventh semester of the chemistry undergraduate program, students receive a brief theoretical introduction to multivariate calibration, focused on partial least-squares regression as the most commonly employed data processing tool. The theory is complemented with the use of MVC1_R, an easy-to-use software developed in-house as an R Shiny application. The present report describes student activities with the latter software in the development of mathematical models to predict quality parameters of corn seeds from near-infrared spectra. Subsequently, an experimental project is carried out involving near-infrared spectral measurements, which are widely used in several industrial fields for quality control. To process the obtained data, students apply the knowledge acquired during the theoretical/software sessions. (As Provided).
Anmerkungen	Division of Chemical Education, Inc. and ACS Publications Division of the American Chemical Society. 1155 Sixteenth Street NW, Washington, DC 20036. Tel: 800-227-5558; Tel: 202-872-4600; e-mail: eic@jce.acs.org; Web site: http://pubs.acs.org/jchemeduc
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01