Abstract
The aim of this manuscript was to show the concepts involving data treatment of RGB based image analysis by univariate and multivariate approaches – the latter using Partial Least Squares (PLS) - using as a practical example application the determination of extravirgin olive oil adulteration. Digital images were collected using a device made of LEDs, batteries and a smartphone and results are shown in a tutorial format using Matlab computing environment. The experiment can serve as an example for teaching the subject for undergraduate and graduate students.
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Rios, C. A., de Souza, A. M., Poppi, R. J., & Breitkreitza, M. C. (2022). TEACHING EXPERIMENT IN CHEMOMETRICS USING DIGITAL IMAGES OBTAINED BY MOBILE PHONE TO DETERMINE ADULTERATION OF OLIVE OIL WITH SOYBEAN OIL: A TUTORIAL, PART VI. Quimica Nova, 45(9), 1167–1176. https://doi.org/10.21577/0100-4042.20170946
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