Your browser doesn't support javascript.
loading
Development and analytical validation of a simple multivariate calibration method using digital scanner images for sunset yellow determination in soft beverages.
Botelho, Bruno G; de Assis, Luciana P; Sena, Marcelo M.
Affiliation
  • Botelho BG; Departamento de Química, ICEx, Universidade Federal de Minas Gerais, 31270-901 Belo Horizonte, MG, Brazil.
  • de Assis LP; Departamento de Química, ICEx, Universidade Federal de Minas Gerais, 31270-901 Belo Horizonte, MG, Brazil.
  • Sena MM; 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.
Food Chem ; 159: 175-80, 2014 Sep 15.
Article in En | MEDLINE | ID: mdl-24767041
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 ß-expectation tolerance intervals, were estimated. The application of digital images in food analysis is very promising, opening the possibility for automation.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Azo Compounds / Beverages Type of study: Prognostic_studies Country/Region as subject: America do sul / Brasil Language: En Journal: Food Chem Year: 2014 Document type: Article Affiliation country: Brasil Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Azo Compounds / Beverages Type of study: Prognostic_studies Country/Region as subject: America do sul / Brasil Language: En Journal: Food Chem Year: 2014 Document type: Article Affiliation country: Brasil Country of publication: Reino Unido