Simultaneous spectrophotometric determination of tartrazine, patent blue V, and indigo carmine in commercial products by partial least squares and principal component regression methods.

被引:39
|
作者
Nevado, JJB [1 ]
Flores, JR [1 ]
Llerena, MJV [1 ]
Fariñas, NR [1 ]
机构
[1] Univ Castilla La Mancha, Dept Analyt Chem & Food Technol, E-13071 Ciudad Real, Spain
关键词
dyes; spectrophotometry; partial least squares; principal component regression;
D O I
10.1016/S0039-9140(98)00301-4
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Two multivariate calibration methods, partial least squares (PLS-1) and principal component regression (PCR) were proposed and successfully applied to the simultaneous determination of three dyes, tartrazine (T) (E-102), patent blue V (P) (E-131), and indigo carmine (I) (E-132) in mixtures by ultraviolet-visible absorption spectrophotometry. Calibration models were evaluated by internal validation (prediction of dyes concentration in its own designed training set of calibration), by cross-validation (obtaining statistical parameters that show the efficiency for a calibration fit model), and by external validation over 19 synthetic mixtures of the three dyes in different ratios containing 2.4-17.6 mg l(-1) of T, 1.6-5.6 mg l(-1) of P, and 3.2-17.5 mg/l(-1) of I, with recoveries between 93.5 and 103.1% and over three commercial products, in which the proposed calibration models were satisfactorily applied without separation step. Repeatability and reproducibility studies (with the Students's and F tests) were achieved over two series of nine standards for each dye, showing no significant differences at 95% confidence level. (C) 1999 Elsevier Science B.V. All rights reserved.
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页码:895 / 903
页数:9
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