<p>A Multivariate Image Analysis (MIA) laboratory activity was proposed estimating pH of drinking water samples from its digital images after adding bromothymol blue as a pH indicator, and using the PLS multivariate calibration method. All computational work was done using GNU Octave free software. The MIA-PLS based approach exemplified with drinking water pH estimates is tailored to meet the needs of both students and researchers. MIA-PLS method was statically equivalent to the reference method using a conventional glass pH electrode. This lab activity combines analytical methodology, computing, and chemometrics.</p>

This paper describes an approach for the colour-based classification of RGB (red-green-blue) images, acquired using a common scanner, of commercial carbonated soft drinks. Mean histograms of image colour channels were evaluated for the PCA classification of 29 brands of Guaraná, Cola, and orange flavors. Loadings for principal component axes resulted in different patterns for sample grouping on score plots according to RGB histograms. pH, sorbic acid and sucrose measurements were also correlated to the analyzed brands through PCA score plots of the digitalized images.