Hosseini Seyyedeh Fatemeh, Heidari Tahereh, Zendegi-Shiraz Ameneh, Ameri Majid
Department of Chemistry, Faculty of Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.
Department of Chemistry, Faculty of Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.
Food Chem. 2025 Apr 1;470:142619. doi: 10.1016/j.foodchem.2024.142619. Epub 2024 Dec 24.
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 R 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.
偶氮染料,如柠檬黄和日落黄,作为价格低廉且稳定的食用色素被广泛使用。准确的定量分析对于食品监管监测至关重要,以确保符合安全标准并将健康风险降至最低。本研究开发了一种低成本且环保的方法,利用数字图像和化学计量学同时测定食品样品中的这些染料。通过将偏最小二乘回归应用于RGB + 灰度 + HSI颜色直方图,获得了最佳预测结果,柠檬黄和日落黄的R分别为0.9977、0.9989,RMSEP分别为0.21、0.10 mg/L,REP分别为1.6%、1.0%。该方法成功应用于软饮料样品中柠檬黄和日落黄的测定,结果与高效液相色谱法相当。这种创新方法为监测染料浓度提供了一种实用且可靠的替代方案,有助于食品制造商和卫生当局确保符合安全标准。