Development and analytical validation of a simple multivariate calibration method using digital scanner images for sunset yellow determination in soft beverages.
This paper proposed a novel methodology for the quantification of an artificial dye, sunset yellow (SY), in soft beverages, using image analysis (RGB histograms) and partial least squares regression. The developed method presented many advantages if compared with alternative methodologies, such as HPLC and UV/VIS spectrophotometry. It was faster, did not require sample pretreatment steps or any kind of solvents and reagents, and used a low cost equipment, a commercial flatbed scanner. This method was able to quantify SY in isotonic drinks and orange sodas, in the range of 7.8-39.7 mg L(-1), with relative prediction errors lower than 10%. A multivariate validation was also performed according to the Brazilian and international guidelines. Linearity, accuracy, sensitivity, bias, prediction uncertainty and a recently proposed tool, the β-expectation tolerance intervals, were estimated. The application of digital images in food analysis is very promising, opening the possibility for automation.
Departamento de Química, ICEx, Universidade Federal de Minas Gerais, 31270-901 Belo Horizonte, MG, Brazil.
Bruno G
BG
Botelho
Departamento de Química, ICEx, Universidade Federal de Minas Gerais, 31270-901 Belo Horizonte, MG, Brazil.
Luciana P
LP
de Assis
Departamento de Química, ICEx, Universidade Federal de Minas Gerais, 31270-901 Belo Horizonte, MG, Brazil; Instituto Nacional de Ciência e Tecnologia em Bioanalítica (INCT Bio), 13083-970 Campinas, SP, Brazil. Electronic address: marcsen@ufmg.br.
Marcelo M
MM
Sena
D001391:Azo Compounds / Q000032:analysis*; D001628:Beverages / Q000032:analysis*; D001938:Brazil; D002138:Calibration; D016018:Least-Squares Analysis
D001391:Azo Compounds; C005842:6-hydroxy-5-((p- sulfophenyl)azo)-2-naphthalenesulfonic acid disodium salt
Food dyes; Image analysis; PLS; Quality control; RGB histograms; Soft drinks