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Ultrasound-assisted vesicle-based microextraction as a novel method for determination of phenolic acid compounds in Nepeta cataria L . samples
Journal of the Iranian Chemical Society ( IF 2.2 ) Pub Date : 2021-01-19 , DOI: 10.1007/s13738-020-02131-6
Mohammad Reza Hajmohammadi , Shabnam Najafi AsliPashaki , Zeinab Rajab Dizavandi , Amirhassan Amiri

In this research, a novel method was adopted for the extraction and determination of polyphenolic acids, i.e., chlorogenic acid, gallic acid, syringic acid and caffeic acid from different parts of Nepeta cataria L. samples. Extraction of polyphenolic acids from methanol extract was performed by ultrasound-assisted vesicles-based microextraction. In this procedure for the first time, 5-methyl salicylic acid was used for forming vesicles that trap analyte molecules in themselves. High-performance liquid chromatography was used for the separation and detection of polyphenolic acid content in Nepeta cataria L. samples. To obtain maximum extraction efficiency, some parameters affecting extraction efficiency were investigated and optimized. This analytical method was validated for linearity, precision, trueness, the limits of detection (LODs) and recovery. The LODs ranged from 0.3 to 0.9 ng mL‒1. Enrichment factors are between 102 and 116. Extraction recovery and relative standard deviation (RSD) values were calculated for both intraday and interday measurements. The extraction recovery and RSD values were in the concentration range of 84.2‒92.4% and 3.2‒4.6%, respectively. The method was successfully applied for the analysis of the collected real samples from Guilan, Golestan, Taleghan and Arak.



中文翻译:

超声辅助囊泡微萃取作为测定荆芥中酚酸类化合物的新方法 样本

在这项研究中,一种新颖的方法,用于多酚酸,即,绿原酸,没食子酸,丁香酸,咖啡酸从不同部位提取和判定通过荆芥大号样品。通过基于超声的囊泡微萃取从甲醇提取物中提取多酚酸。在此程序中,首次使用5-甲基水杨酸形成囊泡,将囊中的分析物分子捕获在囊泡中。用于在多酚含量的分离和检测高效液相色谱法荆芥大号样品。为了获得最大的提取效率,研究和优化了一些影响提取效率的参数。该分析方法的线性,精度,真实性,检测限(LOD)和回收率均得到验证。LODs范围为0.3至0.9 ng mL ‒1。富集因子在102到116之间。针对日内和日间测量均计算了提取回收率和相对标准偏差(RSD)值。提取回收率和RSD值分别在84.2×92.4%和3.2×4.6%的浓度范围内。该方法已成功地用于分析从Guilan,Golestan,Taleghan和Arak收集的真实样品。

更新日期:2021-01-19
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