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Chemometric design-based optimization of a green, selective and inexpensive switchable hydrophilicity solvent-based liquid phase microextraction procedure for pre-concentration and extraction of sulfadiazine in milk, honey and water samples
Food Chemistry ( IF 8.5 ) Pub Date : 2022-06-21 , DOI: 10.1016/j.foodchem.2022.133540
Nail Altunay 1
Affiliation  

In this research, a green, selective and inexpensive switchable hydrophilicity solvent-based liquid phase microextraction (SHS-LPME) procedure has been optimized for the extraction and preconcentration of sulfadiazine (SDZ) in milk, honey and water samples prior to spectrophotometric analysis. Five variables affecting the SHS-LPME procedure were optimized using chemometric-based central composite design. For the SHS-LPME procedure, analytical parameters such as linearity, limit of detection, extraction recovery and enrichment factor were 15-300 μg L-1, 4.5 μg L-1, 96±3% and 113, respectively. The precision of the method was investigated by repeatability and reproducibility studies. The relative standard deviation from these studies was found in the range of 2.4-4.5%. The recovery of the SDZ in the samples was in the range of 94±4–99±2%. Collected samples were analyzed by both the SHS-LPME procedure and the reference method using flow injection-flame atomic absorption technique, and the results were compared. There was no statistically significant difference between the two methods. This showed that the SHS-LPME procedure can be safely applied to the analysis of real samples.



中文翻译:

基于化学计量学设计的绿色、选择性和廉价可切换亲水性溶剂型液相微萃取程序的优化,用于牛奶、蜂蜜和水样中磺胺嘧啶的预浓缩和萃取

在这项研究中,一种绿色、选择性和廉价的可切换亲水性溶剂型液相微萃取 (SHS-LPME) 程序已针对分光光度分析之前牛奶、蜂蜜和水样品中磺胺嘧啶 (SDZ) 的萃取和预浓缩进行了优化。使用基于化学计量学的中心复合设计优化了影响 SHS-LPME 程序的五个变量。对于 SHS-LPME 程序,线性度、检测限、萃取回收率和富集因子等分析参数为 15-300 μg L -1、4.5 μg L -1,分别为 96±3% 和 113。该方法的精密度通过重复性和重现性研究进行了调查。这些研究的相对标准偏差在 2.4-4.5% 的范围内。样品中 SDZ 的回收率在 94±4–99±2% 的范围内。收集的样品通过 SHS-LPME 程序和使用流动注入火焰原子吸收技术的参考方法进行分析,并比较结果。两种方法之间没有统计学上的显着差异。这表明 SHS-LPME 程序可以安全地应用于实际样品的分析。

更新日期:2022-06-21
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