Suppr超能文献

合成及应用分子印迹聚合物对食品和环境介质中丙草胺的净化。

Synthesis and utilisation of molecular imprinting polymer for clean-up of propachlor in food and environmental media.

机构信息

Jiangsu Key Laboratory of Pesticide Science, College of Science, Nanjing Agricultural University, Nanjing, China.

出版信息

Food Chem. 2012 Dec 1;135(3):1148-56. doi: 10.1016/j.foodchem.2012.05.069. Epub 2012 May 24.

Abstract

The molecularly imprinted polymers (MIPs) are used as the base material of solid phase extraction (SPE) for the separation and concentration of the propachlor herbicide (Prop) in different environmental matrix. Accordingly, we prepared MIPs on the surface of modified silica gel using propachlor as a template, acrylamide (AA) as functional monomers, ethylene glycol dimethacrylate (EGDMA) as a cross-linker and 2,2-azo-bis-isobutyronitrile (AIBN) as an initiator. The MIP structure was characterised using scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FT-IR). Synthesised MIPs had a specific ability to detect the template Prop. The high selectivity solid phase extraction cartridges of molecularly imprinted polymers (MISPE) containing MIP Prop particles were prepared. The optimised Prop-MISPE procedure was developed for enrichment or clean-up of propachlor residues in water, soil and rice samples. Concentrations of propachlor in the samples were analysed by high performance liquid chromatography. Overall, the newly developed technique provides an analytical platform to quantify the trace amount of propachlor residues in multi or complex environmental and food media.

摘要

分子印迹聚合物(MIPs)被用作固相萃取(SPE)的基础材料,用于分离和浓缩不同环境基质中的丙草胺(Prop)除草剂。因此,我们使用丙草胺作为模板、丙烯酰胺(AA)作为功能单体、乙二醇二甲基丙烯酸酯(EGDMA)作为交联剂和 2,2-偶氮二异丁腈(AIBN)作为引发剂,在改性硅胶表面制备了 MIPs。使用扫描电子显微镜(SEM)和傅里叶变换红外光谱(FT-IR)对 MIP 结构进行了表征。合成的 MIPs 具有检测模板 Prop 的特殊能力。制备了含有 MIP Prop 颗粒的高选择性分子印迹聚合物固相萃取柱(MISPE)。开发了优化的 Prop-MISPE 程序,用于在水、土壤和稻米样品中浓缩或清除丙草胺残留。通过高效液相色谱法分析样品中的丙草胺浓度。总的来说,这项新技术提供了一个分析平台,可以定量分析多相或复杂环境和食品介质中痕量丙草胺残留。

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