食品安全问题已成为人们广泛关注的热点，加强食品中污染物的监控与检测对于保障人民身体健康具有重要意义。食品中有害物残留检测分析中传统样品前处理方法存在操作繁琐耗时、复杂样品基质干扰严重、不能实现分析物的选择性萃取等问题，本项目旨在前期样品前处理新技术研究的基础上，设计合成以金属有机框架材料（MOF）为模板或前体的纳米孔状碳材料，以其为吸附剂开发相应的固相萃取柱、微固相萃取装置和磁响应萃取材料，以解决商品化固相萃取吸附材料品种少、萃取效率较低、难以处理大体积样品等问题。通过密度泛函理论模拟计算，从分子水平阐明所合成材料的选择性分子识别机制。在此基础上，将基于MOF衍生的纳米孔状碳材料的固相萃取技术与气相色谱-质谱、液相色谱相结合，建立食品中农药残留的选择性分离富集与高灵敏度检测技术体系。本研究对于分析技术的创新和发展、对于食品质量有效监控和保障食品安全具有重要的现实意义。

Nowadays, the issue of food security has received considerable attention. The monitoring of pesticide residues in food is highly desirable for the sake of human health. Sample preparation before instrumental analysis is one of the most important and crucial steps in a whole analytical process. However, conventional sample preparation techniques suffer from the disadvantages of being tedious, time-consuming, having severe interferences by the complex matrix, non-selective extraction, and requiring large amount of toxic organic solvents. To solve the problems mentioned above, the aim of the project is to design and fabricate metal-organic framework (MOF)-derived porous carbon adsorbent, develop related extraction column and magnetic extraction materials with high specific selectivity and good mass transfer ability, and explore their applications in the determination of pesticide residues in food samples. Another purpose of the project is to elucidate the adsorption mechanism of the composite by density functional theory, and to achieve an in-depth understanding of the structure-property relationship of the composite. The novel porous carbon-based solid extraction methods will be developed for the extraction of pesticide residues in food samples prior to high performance liquid chromatography or gas chromatography-mass spectrometry analysis. The research is of significant importance for developing new analytical tools, monitoring food quality and ensuring food security.