Simultaneous determination of multiple food colorants content in beverages based on KICA-SVR model of simulated UV data
WANG Guo-qing
GONG Li-hua
WANG Su-fang
SUN Xiao-li
DONG Chun-hong
FU De-xue
Abstract：By extraction of the independent components (IC)from the ultraviolet-visible (UV)spectrum of simulated mixtures of food colorants disolved in water and beverage using kernel independent component analysis (KICA),the UV-KUA-SVR model were established by support vector regressing (SVR)using the IC’s coefficients.This model can be used to simultineously determine multiple colorants,i.e.lemon yellow,sunset yellow,red temptation,amaranth,carmine,and brilliant blue,with the relative standard devi-ations (RSDs)are 1 .5%,2.2%,2.0%,2.5%,2.6%,and 1 .2%,respectively,the limits of detection (LOD)are 0.5 mg·L-1 ,0.5 mg·L-1 ,0.5 mg·L-1 ,1 .0 mg·L-1 ,1 .0 mg·L-1 and 0.5 mg·L-1 , respectively.
Keywords：ultraviolet-visible spectrophotometrykernel independent component analysis(KICA)support vector regression(SVR)colorants content
Publication Date：2014-03-02
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 11-14 )