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纳米氧化镁及共吸附剂去除基质干扰用于中药材中多种农药残留的准确分析

Removal of Matrix Interferences by Nano-MgO and Co-Adsorbents for Accurate Multi-Pesticide Residue Analysis in the Chinese Medicinal Herb, .

作者信息

Wang Chunyu, Wang Xinquan, Wang Jiao, Di Shanshan, Wang Zhiwei, Xu Hao, Zhao Huiyu, Zhao Changshan, Qi Peipei

机构信息

College of Agriculture, Northeast Agricultural University, Harbin 150030, China.

State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Quality and Standard of Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.

出版信息

J Anal Methods Chem. 2021 Feb 4;2021:6626257. doi: 10.1155/2021/6626257. eCollection 2021.

DOI:10.1155/2021/6626257
PMID:33628577
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7880715/
Abstract

A simple, accurate, and high-throughput analytical method was developed to detect 123 pesticide residues in Chinese medicinal herb (PRA) by introducing nano-MgO as a highly efficient purification material based on quick, easy, cheap, effective, rugged, and safe (QuEChERS) design concept. Various PRA samples were extracted using 8 mL 0.5% acetic acid-acetonitrile solution and purified by a dispersive solid-phase extraction method with 30 mg nano-MgO, 40 mg primary secondary amine (PSA), and 40 mg octadecylsilane (C18) as the cleanup adsorbents, followed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). 70.7% of pesticides showed a weak matrix effect after the purification process, indicating that this method can give the precise quantitative analysis of trace pesticides residue. The method was systematically validated under optimal conditions in five different kinds of PRA samples; good linearity was observed in the concentration range of 0.5-250 g/L or 1-250 g/L. Pesticide recovery in each sample spiked at concentrations of 20, 50, and 200 g/kg ranged from 98.0% to 111% and the mean relative standard deviation ranged from 2.72% to 5.70%. Furthermore, the method comparison with the traditional QuEChERS method suggested the feasibility, advantages, and potential application prospect of the present method for the multi-pesticide residue analysis in various PRA samples.

摘要

基于快速、简便、廉价、有效、耐用和安全(QuEChERS)的设计理念,通过引入纳米氧化镁作为高效净化材料,开发了一种简单、准确且高通量的分析方法,用于检测中药材中的123种农药残留(PRA)。使用8 mL 0.5%乙酸-乙腈溶液提取各种PRA样品,并通过分散固相萃取法进行净化,以30 mg纳米氧化镁、40 mg伯仲胺(PSA)和40 mg十八烷基硅烷(C18)作为净化吸附剂,随后进行液相色谱-串联质谱(LC-MS/MS)分析。净化后,70.7%的农药显示出较弱的基质效应,表明该方法能够对痕量农药残留进行精确的定量分析。在最佳条件下,该方法在五种不同类型的PRA样品中进行了系统验证;在0.5-250 μg/L或1-250 μg/L的浓度范围内观察到良好的线性关系。在添加浓度为20、50和200 μg/kg的每种样品中,农药回收率在98.0%至111%之间,平均相对标准偏差在2.72%至5.70%之间。此外,与传统QuEChERS方法的方法比较表明了本方法在各种PRA样品中进行多农药残留分析的可行性、优势和潜在应用前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f036/7880715/7aba7bfa3d7b/JAMC2021-6626257.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f036/7880715/a2c53b4bcd7b/JAMC2021-6626257.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f036/7880715/b7d52dbc7193/JAMC2021-6626257.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f036/7880715/7311bd96186a/JAMC2021-6626257.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f036/7880715/3a3fc996dc61/JAMC2021-6626257.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f036/7880715/7aba7bfa3d7b/JAMC2021-6626257.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f036/7880715/a2c53b4bcd7b/JAMC2021-6626257.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f036/7880715/b7d52dbc7193/JAMC2021-6626257.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f036/7880715/7311bd96186a/JAMC2021-6626257.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f036/7880715/3a3fc996dc61/JAMC2021-6626257.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f036/7880715/7aba7bfa3d7b/JAMC2021-6626257.005.jpg

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