Smartphone Application for Methanol Determination in Sugar Cane Spirits Employing Digital Image-Based Method

Using a biphasic system and digital imaging analysis with chemometric tools for simultaneous determination of Cu2+ and furfural in cachaça

“…8 Recently, numerous studies have pointed out the inconsistencies relative to the composition of cachaça samples, where they showed that the contents of the samples are not in line with the standard contents established by the Brazilian legislation 9 for the following compounds: furfural, 10,11 Cu 2+ (ref. 2, 12–14), methanol, 11,15 reducing sugars, 16 ethyl carbamate, 11,14 acrolein, 17,18 and so forth. Furfural and hydroxymethylfurfural (HMF) are aromatic aldehydes which are among the undesirable components found in cachaça samples.…”

“…For analytical purposes, software was employed to decompose the image in data to a specific color model. 15 The color models widely used in the literature include RGB, HSV, and HSI color model data, among others. 25–29 The RGB (Red–Green–Blue) color model is a color representation standard in which each color is expressed by combining the R, G and B colors.…”

“…When it comes to the analysis aimed at determining the concentration of analytes of interest, care must be taken regarding the control of luminosity of the analytical platform. 15 In fact, the excess of shadows and brightness can compromise the results of the analysis, leading to a change in the values of the RGB, and, consequently, modifying the analyte concentrations. 34 In view of that, it is essentially important to use closed chambers during the analysis in order to avoid this analytical inconvenience.…”

Color approach to the analysis of white crystal cane sugar for the detection of solid impurities

“…Analytical methods involving digital images have been widely applied in many types of samples, such as cold meats, 10 sugarcane spirits, 11 citrus, 12,13 wine, 14 grain, 14 sugarcane, 4 and endoglucanase activity, 15 as far as the authors are aware. For instance, Camargo et al 16 .…”

PhotoMetrix and colorimetric image analysis using smartphones

“…By evaluating the works that used smartphones for image acquisition and performed the external processing of the acquired data (Figure 1), we can see that these devices are explored in several areas, such as the detection of diseases and markers of diseases causing in the medical field, immunoassay, 18–27 quality control of the environment, 28–39 forensic analysis, 40–42 control and quality of beverages and food, 15,43–64 quality evaluation of pharmaceutical products, 54,65,66 fuel quality control, 67,68 pigments, 69 chemical education, kinetic studies, and chemical receptors 70–77 …”