Application of chemometrics based on digital image analysis for simultaneous determination of tartrazine and sunset yellow in food samples

被引:0
|
作者
Hosseini, Seyyedeh Fatemeh [1 ]
Heidari, Tahereh [1 ]
Zendegi-Shiraz, Ameneh [2 ]
Ameri, Majid [3 ]
机构
[1] Ferdowsi Univ Mashhad, Fac Sci, Dept Chem, Mashhad, Iran
[2] Islamic Azad Univ, Dept Chem, Sci & Res Branch, Tehran, Iran
[3] Univ Sci & Technol, Dept Chem, Tehran, Iran
关键词
Food dyes; PLS; Color channel; Histogram; RGB; HSI; HPLC; MULTIVARIATE CALIBRATION; ANALYTICAL VALIDATION; ALLURA RED; DYES; QUANTIFICATION; PRODUCTS; TOOL;
D O I
10.1016/j.foodchem.2024.142619
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
Azo dyes, such as tartrazine and sunset yellow, are widely used as affordable and stable food colorants. Accurate quantification is crucial in foods for regulatory monitoring to ensure compliance with safety standards and minimize health risks. This study developed a low-cost and eco-friendly method using digital images and chemometrics for the simultaneous determination of these dyes in food samples. The best prediction results were achieved by applying partial least squares regression to RGB + Grayscale+HSI color histograms, with R2 of 0.9977, 0.9989, RMSEP of 0.21, 0.10 mg/L and REP of 1.6, 1.0 % for tartrazine and sunset yellow, respectively. The method was successfully applied for determination of tartrazine and sunset yellow in soft drink samples, producing results comparable to those obtained from the HPLC method. This innovative approach provides a practical and reliable alternative for monitoring the dye concentrations, supporting both food manufacturers and health authorities in ensuring compliance with safety standards.
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页数:10
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