Quantitative determination of sunset yellow concentration in soft drinks via digital image processing

被引:13
|
作者
Hosseininia, Seyed Ali Reza [1 ]
Kamani, Mohammad Hassan [2 ]
Rani, Sapna [3 ,4 ]
机构
[1] MUMS, Dept Food Chem Food & Drug Vice Presidency, Food Qual Control Lab, Mashhad, Iran
[2] Islamic Azad Univ, Sabzevar Branch, Young Researchers & Elite Club, Sabzevar, Iran
[3] GITAM Univ, Dept Biotechnol, Visakhapatnam 530045, Andhra Pradesh, India
[4] ICAR Natl Dairy Res Inst, Div Dairy Microbiol, Karnal 132001, India
关键词
Sunset yellow; Image processing technique; Colorimetric parameters; Predictive model; COLOR MEASUREMENTS; MACHINE VISION; CLASSIFICATION; QUALITY; DYES;
D O I
10.1007/s11694-017-9483-8
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Image processing technique (IPT) can be used to evaluate the quality of food and drink products. Therefore, this study was focused on the relationship between colorimetric parameters of IPT and different concentrations of sunset yellow in Miranda soft drink. The amount of the sunset yellow color in Miranda soft drink were assessed using HPLC and a specific doses of 0, 25, 60, 90, 120 and 150 mg kg(-1) sunset yellow were maintained for this study. The image processing results showed that with increasing the concentration of sunset yellow, all colorimetric values were changed except for b* values. Regression analysis between colorimetric parameters and sunset yellow showed a significant multivariate linear relationship (P < 0.05) with a high coefficient of determination (R-2 (adjusted) = 98.7). The results showed that the predictive equation could be used to estimate the concentration of sunset yellow color in Miranda soft drink. The result of the present study showed that digital image processing technique approach can be a successful tool for the prediction of sunset yellow concentration in drink products. Therefore, IPT could be a potential prediction tool for determining the quantity of synthetic colorant in the food and drink products.
引用
收藏
页码:1065 / 1070
页数:6
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