Suppr超能文献

介孔分子印迹聚合物核壳杂化硅胶纳米粒子作为吸附剂在填充固相萃取中用于苹果汁中多种农药残留的多残留测定。

Mesoporous molecularly imprinted polymer core@shell hybrid silica nanoparticles as adsorbent in microextraction by packed sorbent for multiresidue determination of pesticides in apple juice.

机构信息

Departamento de Ciências Naturais, Universidade Federal de São João del-Rei (UFSJ), Campus Dom Bosco, Praça Dom Helvécio 74, Fábricas, 36301-160 São João del-Rei, Minas Gerais, Brazil.

Departamento de Ciências Exatas, Universidade Federal do Espírito Santo (UFES), 29075-910 Vitória, Espírito Santo, Brazil.

出版信息

Food Chem. 2021 May 30;345:128745. doi: 10.1016/j.foodchem.2020.128745. Epub 2020 Nov 30.

Abstract

In this work, we report the synthesis of a mesoporous molecularly imprinted polymer on the surface of silica nanoparticles (core@mMIP) to be applied as adsorbent in microextraction by packed sorbent (MEPS) for selective determination of pesticides in apple juice. The core@mMIP was properly characterized, showing good adhesion of the polymer to the silica core. The best extraction conditions were: 200 µL of ultrapure water as washing solvent, 150 µL of acetonitrile as eluent, 100 µL of sample at pH 2.5, five draw-eject cycles and 8 mg of adsorbent. Thereby, recoveries of 96.12 ± 1.05%, 76.88 ± 6.18% and 76.18 ± 5.57% were obtained for pyriproxyfen (PPX), deltamethrin (DTM) and etofenprox (ETF), respectively. After validation, the method presented linearity in the range of 0.02-10 µg mL (r > 0.99), limit of detection of 0.005 µg mL, satisfactory selectivity, and proper precision and accuracy. The method was successfully applied real samples of processed and fresh apple juice.

摘要

在这项工作中,我们报告了在硅胶纳米粒子表面合成介孔分子印迹聚合物(核@m-MIP),并将其作为吸附剂应用于微萃取填充固相(MEPS)中,用于选择性测定苹果汁中的农药。核@m-MIP 得到了适当的表征,显示出聚合物与硅胶核的良好附着。最佳萃取条件为:200µL 超纯水作为洗涤溶剂,150µL 乙腈作为洗脱剂,pH2.5 下 100µL 样品,5 次提取-推出循环和 8mg 吸附剂。由此,吡虫啉(PPX)、溴氰菊酯(DTM)和乙虫腈(ETF)的回收率分别为 96.12±1.05%、76.88±6.18%和 76.18±5.57%。经过验证,该方法在 0.02-10µg mL 范围内呈现线性关系(r>0.99),检出限为 0.005µg mL,具有良好的选择性,适当的精密度和准确度。该方法成功应用于加工和新鲜苹果汁的实际样品。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验