Spectrophotometric multicomponent determination of sunset yellow, tartrazine and allura red in soft drink powder by double divisor-ratio spectra derivative, inverse least-squares and principal component regression methods

DİNÇ E., BAYDAN E., Kanbur M., ONUR F.

Talanta, vol.58, no.3, pp.579-594, 2002 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 58 Issue: 3
  • Publication Date: 2002
  • Doi Number: 10.1016/s0039-9140(02)00320-x
  • Journal Name: Talanta
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.579-594
  • Keywords: sunset yellow, tartrazine, allura red, double divisor-ratio spectra derivative, inverse least-squares, principal component regression, QUINOLINE YELLOW, BIVARIATE CALIBRATION, ELECTROPHORESIS, CHROMATOGRAPHY, MIXTURE, COLORS, DYES, FCF
  • Lokman Hekim University Affiliated: No


Double divisor-ratio spectra derivative (graphical method), classical least-squares and principal component regression (two numerical methods) methods were developed for the spectrophotometric multicomponent analysis of soft drink powders and synthetic mixtures containing three colorants without any chemical separation. The graphical method is based on the use of derivative signals of the ratio spectra using double divisor. In this method, the linear determination ranges were 2-8 μg ml-1 sunset yellow, 4-18 μg ml-1 tartrazine and 2-8 μg ml-1 allura red in 0.1 M HCl. In the numerical methods, a training set was randomly prepared by using 18 samples containing between 0 and 8 μg ml-1 of sunset yellow, 0-18 μg ml-1 of tartrazine and 0-8 μg ml-1 of allura red. The chemometric calibrations were calculated by using the prepared training set and its absorbances at seven points (from 375.0 to 550.0 nm) in the spectral region 325-584 nm. The proposed methods were validated by using synthetic ternary mixtures and applied to the simultaneous determination of three colorants in soft drink powders. The obtained results were statistically compared with each other. © 2002 Elsevier Science B.V. All rights reserved.