01696naa a2200277 a 450000100080000000500110000800800410001902400550006010000160011524502040013126000090033552007830034465000190112765000270114665000180117365000110119165300170120265300190121965300180123865300260125665300240128270000200130670000170132670000230134377300520136621468002022-11-22       2022    bl uuuu     u00u1 u    #d7 ahttp://dx.doi.org/10.21577/0100-4042.201709462DOI1 aRIOS, C. A.  aExperimento didático de quimiometria empregando imagens digitais obtidas por celular para determinar adulteração de azeite de oliva com óleo de sojabum tutorial, parte VI.h[electronic resource]  c2022  aThe 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. A proposta deste tutorial é revisitar o conceito de imagens digitais para explorar o seu uso como metodologia analítica para estimar o percentual de adulterantes em amostras de alimentos de uma maneira didática.  aDigital images  aExtra-virgin olive oil  aAdulteração  aAzeite  aAdulteration  aImagem digital  aÓleo de soja  aPartial least squares  aTeaching experiment1 aSOUZA, A. M. de1 aPOPPI, R. J.1 aBREITKREITZ, M. C.  tQuímica Novagv. 45, n. 9, p. 1167-1176, 2022.