A functionalized carbon nanotube nanohybrids-based QuEChERS method for detection of pesticide residues in vegetables and fruits

被引:28
|
作者
Wang, Sheng [1 ]
Li, Ming [1 ]
Li, Xiuqin [1 ]
Li, Xianjiang [1 ]
Li, Xiaomin [1 ]
Li, Shuangqing [1 ]
Zhang, Qinghe [1 ]
Li, Hongmei [1 ]
机构
[1] Natl Inst Metrol, Div Chem Metrol & Analyt Sci, 18 East Rd North 3rd Ring, Beijing 100029, Peoples R China
基金
国家重点研发计划;
关键词
Pesticide multi-residue analysis; Vegetables and fruits; Clean-up; Self-separation; Functionalized MWCNTs; SOLID-PHASE EXTRACTION; CLEANUP; SORBENT; FILTRATION; JUICE; OXIDE;
D O I
10.1016/j.chroma.2020.461526
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
A self-separating, analyte-compatible, and efficient clean-up method for QuEChERS extracts was designed and developed based on dispersive solid-phase extraction using a branched polyethylenimine and nanoscale CaSO4 functionalized carboxylated multi-walled carbon nanotubes (MWCNTs) nanohybrids as sorbent. The feasibility of using a self-separating strategy based on the functionalization of sorbent in a purification procedure was analyzed for the first time in this study. Compared to the traditional QuECh-ERS method, the proposed method is rapid and convenient without centrifugation of numerous samples in the clean-up process. The use of nanohybrids overcame the issue of low recoveries for planar pesticides, which are easily adsorbed using MWCNTs. A better clean-up capability of the nanohybrids to remove matrix interferences and reduce matrix effect was demonstrated compared with that of traditional clean-up sorbent primary secondary amine. The method was validated by determining twentyeight pesticides in cucumber, cabbage, apple, and orange. Limits of detections were in the range of 0.0001-0.0026 mg/kg. Spike recoveries of pesticides were within 75.3 - 113.6%, with relative standard deviations less than 14.3% at levels 0.01 mg/kg and 0.1 mg/kg. The developed method was successfully applied to monitor the multi-residues. (C) 2020 Published by Elsevier B.V.
引用
收藏
页数:11
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