INQUISUR   21779
INSTITUTO DE QUIMICA DEL SUR
Unidad Ejecutora - UE
artículos
Título:
Fast chromatographic method for the determination of dyes in beverages by using HPLC-DAD data and second order algorithms
Autor/es:
MARÍA JULIA CULZONI; AGUSTINA V. SCHENONE; NATALIA LLAMAS; MARIANO GARRIDO; MARÍA SUSANA DI NEZIO; BEATRIZ S. FERNÁNDEZ BAND; HÉCTOR C. GOICOECHEA
Revista:
JOURNAL OF CHROMATOGRAPHY - A
Editorial:
Elsevier
Referencias:
Año: 2009 vol. 1216 p. 7063 - 7070
ISSN:
0021-9673
Resumen:
A fast chromatographic methodology is presented for the analysis of three synthetic dyes in non-alcoholic beverages: amaranth (E 123), sunset yellow FCF(E110) and tartrazine(E102). Seven soft drinks(purchased from a local supermarket) were homogenized, filtered and injected into the chromatographic system. Second order data were obtained by a rapid LC separation and DAD detection. A comparative study of the performance of two second order algorithms (MCR-ALS and U-PLS/RBL) applied to model the data, is presented. Interestingly, the data present time shift between different chromatograms and cannot be conveniently corrected to determine the above-mentioned dyes in beverage samples, This fact originates the lack of trilinearity that cannot be conveniently pre-processed and can hardly be modelled by using U-PLS/RBL algorithm. On the contrary, MCR-ALS has shown to be an excellent tool for modelling this kind of data allowing to reach acceptable figures of merit. Recovery values ranged between 97% and 105% when analyzing artificial and real samples were indicative of the good performance of the method. In contrast with the complete separation, which consumes 10 mL. of methanol and 3 mL of 0.08 mol L-1 ammonium acetate, the proposed fast chromatography method requires only 0.46 mL of methanol and 1.54 mL of 0.08 mol L-1 ammonium acetate. Consequently, analysis time could be reduced up to 14.2% of the necessary time to perform the complete separation allowing saving both solvents and time, which are related to a reduction of both the costs per analysis and environmental impact.