Faculty of Sciences, Department of Chemistry, Sivas Cumhuriyet University, Sivas, Turkey.
Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2021 Apr;38(4):573-585. doi: 10.1080/19440049.2021.1873427. Epub 2021 Feb 17.
In the current study, a simple, cheap, and fast analytical procedure, termed ultrasonic-assisted cloud point microextraction (UA-CPME), combined with UV-VIS spectrophotometry, was developed for the pre-concentration and identification of Ponceau 4R in some beverage samples. Ponceau 4R was extracted from aqueous solution using polyethylene glycol mono--nonylphenyl ether (PONPE 7.5) as extraction solvent in the presence of Cu(II) at pH 6.0. Variables influencing the UA-CPME extraction efficiency such as pH, metal type and amount, temperature, ultrasonic effect, solvent type, non-ionic surfactant type and concentration were optimised in detail. Under optimum conditions, the analytical properties of the developed method were as follows: linear working range, 20-750 μg L; limit of detection, 6.5 µg L; and the pre-concentration factor, 200. The relative standard deviation (RSD%) obtained for 50 µg L (n = 5) of Ponceau 4R was 2.9%. The accuracy and precision of the method were evaluated by intra-day and inter-day studies. Finally, the developed method has been successfully applied to the separation and identification of Ponceau 4R in the selected samples and the recoveries ranged from 94.3 to 104.2.
在本研究中,开发了一种简单、廉价、快速的分析程序,称为超声辅助浊点微萃取(UA-CPME),结合紫外可见分光光度法,用于预浓缩和识别一些饮料样品中的诱惑红 4R。在 pH 值为 6.0 时,在 Cu(II)的存在下,使用聚乙二醇单壬基苯基醚(PONPE 7.5)作为萃取溶剂,从水溶液中萃取诱惑红 4R。详细优化了影响 UA-CPME 萃取效率的变量,如 pH 值、金属类型和数量、温度、超声效应、溶剂类型、非离子表面活性剂类型和浓度。在最佳条件下,所开发方法的分析特性如下:线性工作范围为 20-750μg L;检出限为 6.5μg L;和预浓缩因子,200。在 50μg L(n=5)的诱惑红 4R 下获得的相对标准偏差(RSD%)为 2.9%。通过日内和日间研究评估了该方法的准确性和精密度。最后,该方法已成功应用于选定样品中诱惑红 4R 的分离和鉴定,回收率范围为 94.3%至 104.2%。