TEACHING EXPERIMENT IN CHEMOMETRICS USING DIGITAL IMAGES OBTAINED BY MOBILE PHONE TO DETERMINE ADULTERATION OF OLIVE OIL WITH SOYBEAN OIL: A TUTORIAL, PART VI

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.本研究旨在阐述基于RGB图像分析的单变量与多变量数据处理相关概念——其中多变量分析方法采用偏最小二乘（Partial Least Squares, PLS）——并以特级初榨橄榄油掺假鉴别作为实际应用案例。本研究采用由发光二极管（LEDs）、电池与智能手机组成的设备采集数字图像，且基于Matlab计算环境以教程形式呈现研究结果。本实验可作为本科生与研究生相关课程的教学示范案例。