ERIC Number: EJ1250902
Record Type: Journal
Publication Date: 2020-Apr
Pages: 5
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0021-9584
EISSN: N/A
Developing and Implementing an R Shiny Application to Introduce Multivariate Calibration to Advanced Undergraduate Students
Journal of Chemical Education, v97 n4 p1176-1180 Apr 2020
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.
Descriptors: 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
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
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A