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采用响应面法优化超声辅助醇基深共晶溶剂分散液相微萃取分离和浓缩酒及食品样品中槲皮素。

Optimization of an ultrasound-assisted alcohol-based deep eutectic solvent dispersive liquid-phase microextraction for separation and preconcentration of quercetin in wine and food samples with response surface methodology.

机构信息

Department of Biochemistry, Faculty of Sciences, Sivas Cumhuriyet University, Sivas, Turkey.

Department of Chemistry, Faculty of Sciences, Sivas Cumhuriyet University, Sivas, Turkey.

出版信息

J Sep Sci. 2021 May;44(9):1998-2005. doi: 10.1002/jssc.202100048. Epub 2021 Mar 24.

DOI:10.1002/jssc.202100048
PMID:33650304
Abstract

We optimized ultrasound-assisted alcohol-based deep eutectic solvent dispersive liquid-phase microextraction for separation and preconcentration of quercetin in wine and food samples by experimental design based on central composite design. Five different alcohol-based deep eutectic solvents were prepared and tested for quercetin extraction. The effect of important parameters and matrix components were optimized. After optimization, the determination of quercetin was performed at 385 nm using spectrophotometry. Analytical data such as detection limit, working range and preconcentration factor were found as 6.1 μg/L, 20-850 μg/L, and 120, respectively. The selectivity of the optimized extraction conditions for quercetin was investigated in the presence of different matrices. The validation of the method was investigated by reproducibility, repeatability and recovery studies, as well as by comparing the analytical results obtained from real samples with the reference method. Lastly, the recommended procedure was successfully applied for the extraction and quantification of quercetin in wine and food samples.

摘要

我们通过基于中心复合设计的实验设计优化了超声辅助醇基深共晶溶剂分散液相微萃取,用于从葡萄酒和食品样品中分离和预浓缩槲皮素。制备了五种不同的醇基深共晶溶剂并对其进行了用于提取槲皮素的测试。优化了重要参数和基质成分的影响。优化后,使用分光光度法在 385nm 处测定槲皮素。检测限、工作范围和预浓缩因子等分析数据分别为 6.1μg/L、20-850μg/L 和 120。在不同基质存在的情况下,研究了优化提取条件对槲皮素的选择性。通过重复性、重现性和回收率研究以及与参考方法比较实际样品中获得的分析结果,对方法的验证进行了研究。最后,成功地将推荐的程序应用于葡萄酒和食品样品中槲皮素的提取和定量。

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