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

被引:0
作者
Seyed Ali Reza Hosseininia
Mohammad Hassan Kamani
Sapna Rani
机构
[1] Mashhad University of Medical Sciences (MUMS),Food Quality Control Laboratory, Department of Food Chemistry, Food and Drug Vice Presidency
[2] Islamic Azad University,Young Researchers and Elite Club, Sabzevar Branch
[3] GITAM University,Department of Biotechnology
[4] ICAR-National Dairy Research Institute,Division of Dairy Microbiology
来源
Journal of Food Measurement and Characterization | 2017年 / 11卷
关键词
Sunset yellow; Image processing technique; Colorimetric parameters; Predictive model;
D O I
暂无
中图分类号
学科分类号
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 (R2adjusted = 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.
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页码:1065 / 1070
页数:5
相关论文
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