郑州轻工业学院学报（自然科学版）Issue(2)：11-14,4.DOI:10.3969/j.issn.2095-476X.2014.02.004
运用模拟UV数据的KICA-SVR模型同时测定饮料中多种色素的含量
Simultaneous determination of multiple food colorants content in beverages based on KICA-SVR model of simulated UV data
摘要
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.关键词
紫外-可见分光光度法/核独立成分分析/支持向量回归/色素含量Key words
ultraviolet-visible spectrophotometry/kernel independent component analysis(KICA)/support vector regression(SVR)/colorants content分类
轻工纺织引用本文复制引用
王国庆,弓丽华,王素方,孙晓丽,董春红,符德学..运用模拟UV数据的KICA-SVR模型同时测定饮料中多种色素的含量[J].郑州轻工业学院学报（自然科学版）,2014,(2):11-14,4.基金项目
国家自然科学基金项目（21075113，21171150）；河南省基础与前沿技术研究计划项目 （）
