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基于改进标准加入法的碳酸饮料中多种色素含量的同时测定
引用本文:王国庆,弓丽华,王素方,孙晓丽,张守杰.基于改进标准加入法的碳酸饮料中多种色素含量的同时测定[J].河南师范大学学报(自然科学版),2014(1):67-71.
作者姓名:王国庆  弓丽华  王素方  孙晓丽  张守杰
作者单位:;1.郑州轻工业学院材料与化学工程学院;2.河南出入境检验检疫局技术中心
摘    要:采用正交设计设计法设计包含柠檬黄、日落黄、诱惑红、苋菜红、胭脂红及亮蓝6种色素水性混合样品,分别测试其紫外-可见光谱(UV)并用支持向量回归(SVR)得到6种色素同时测定的UV-SVR模型.饮料样品经超声去除CO2后分别添加7水平不同含量的色素标准品并分别测定其UV光谱,利用UV-SVR模型预测其中色素含量,线性回归分析后得到多种色素在饮料中的含量.结果表明,基于UV-SVR-标准加入法多种色素含量同时测定,6种色素含量预测值与实际值的回归分析相关系数在0.99以上,相对标准偏差(RSD)为0.5%~2.5%;用于实际饮料样品测定时,能够同时预测其中多种色素的含量,测定结果与高效液相色谱(HPLC)法相比绝对误差小于1mg·L-1.

关 键 词:支持向量回归  标准加入法  紫外分光光度法  食用色素  多元校正

Determination Multiple Food Colorants in Carbonate Beverages by Generalized Standard Addition Method
Institution:,School of Materials and Chemical Engineering,Zhengzhou University of Light Industry,Inspection & Quarantine Technology Centre,Henan Entry-Exit Inspection & Quarantine Bureau
Abstract:84mixed sample solutions that contain 6kinds of food colorant,lemon yellow,sunset yellow,red temptation,amaranth,carmine and brilliant blue were prepared using orthogonal design method.The UV-Vis spectra(UV)of these prepared samples were measured from 300-800nm,and support vector regression(SVR)were used to build UV-SVR model for simultaneous estimation of the 6kinds of food colorants.The UV spectra of the beverage samples that were added 7different level food colorants after ultrasonic removing of CO2were measured,the predicted contents of the colorants in the spiked beverage samples were obtained using the previously built UV-SVR model,the predicted values were linearly regressed with the spiked contents of the colorants,and the contents of the food colorants in raw beverage samples can be estimated as the predicted values when the spiked contents are zeros.The results show that the simultaneous determination of contents of multiple colorants based on UV-SVR-generalized standard addition method(GSAM),the correlation coefficient of regression analysis of the estimated values and the actual values of are higher than 0.99,the relative standard deviations(RSDs)are located with in the range 0.5%-2.5%.The proposed UV-SVR-GSAM approach can be used for determination of multiple colorants in beverages with the absolute errors less than 1mg·L-1 compared to that of high performance liquid chromatography(HPLC).
Keywords:support vector regression(SVR)  generalized standard addition method  carbonate beverage  ultraviolet-visible spectrometry  food colorants  multivariate calibration
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