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基于低共熔溶剂的分散液液微萃取法测定茶饮料中68种农药残留 被引量:1

Determination of 68 Pesticide Residues in Tea Beverages by Dispersive Liquid-Liquid Microextraction Based on Deep Eutectic Solvent
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摘要 为同时定量检测茶饮料中68种农药的多残留情况,本研究利用低共熔溶剂(DES)作为萃取剂,结合分散液液微萃取(DLLME)技术对目标农药进行萃取富集,再通过高效液相色谱-串联质谱法(HPLCMS/MS)检测目标农药残留量。结果表明,通过DES提取和涡旋离心处理可有效去除茶饮料中的杂质,并将目标农药富集。茶饮料中68种目标农药在1~500 ng·mL^(-1)范围内线性关系良好,线性关系系数均高于0.996,定量限为0.2~10μg·kg-1,3个添加水平(10、50、100μg·kg^(-1))的平均回收率为59.1%~113.7%,相对标准偏差均<10%。综上,本方法具有快速简便、绿色环保、性能良好等优势,可满足茶饮料中农药多残留的检测要求。本研究结果为茶饮料中农药残留检测提供了技术支持。 To detect 68 pesticide residues in tea beverages,the deep-eutectic solvent(DES)in combination with dispersive liquid-liquid microextraction(DLLME)technique was used to extract and enrich the target pesticides.The target pesticide residues were then detected by high performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS).Results showed that the impurities and target pesticides in tea beverages could be efficiently eliminated by DES extraction and enriched by vortex centrifugation treatment.The 68 pesticides in tea beverages showed excellent linearity in the range of 1-500 ng·mL^(-1),with all the linear coefficients over 0.996.Additionally,the limits of quantification(LOQ)were between 0.2-10.0μg·kg^(-1).The average recoveries of the three spiked levels(10,50,100μg·kg^(-1))ranged from 59.1%to 113.7%,with the relative standard deviations(RSDs)less than 10%.Overall,our study proposed a rapid,simple,and environmental friendly method that demonstrated good performance and met the requirements for detecting pesticide residues in tea beverages.This study provide technical support for the detection of pesticide residues in tea beverages.
作者 王华威 陈文辉 陈升凡 李倩倩 杜丽平 叶丰 李建勋 李熠 WANG Huawei;CHEN Wenhui;CHEN Shengfan;LI Qianqian;DU Liping;YE Feng;LI Jianxun;LI Yi(Institute of Food Science and Technology,Chinese Academy of Agricultural Sciences,Beijing 100193;College of Biotechnology,Tianjin University of Science and Technology,Tianjin 300457)
出处 《核农学报》 CAS CSCD 北大核心 2024年第3期522-531,共10页 Journal of Nuclear Agricultural Sciences
基金 国家自然科学基金资助项目(32202183)。
关键词 茶饮料 农药残留 分散液液微萃取 低共熔溶剂 高效液相色谱串联质谱 tea beverages pesticide residues dispersive liquid-liquid microextraction technique deep-eutectic solvent high performance liquid chromatography-tandem mass spectrometry
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