Abstract：
Interest in the use of sensors based on metal-organic frameworks (MOFs) to detect food pollutants has been growing recently due to the desirable characteristics of MOFs, including uniform structures, large surface area, ultrahigh porosity and easy-to-functionalize surface. Fundamentally, this review offers an excellent solution using MOFs-based sensors (e.g., fluorescent, electrochemical, electrochemiluminescence, surface-enhanced Raman spectroscopy, and colorimetric sensors) to detect food contaminants such as pesticide residues, mycotoxins, antibiotics, food additives, and other hazardous candidates. More importantly, their application scenarios and advantages in food detection are also introduced in more detail. Therefore, this systematic review analyzes detection limits, linear ranges, the role of functionalities, and immobilized nanoparticles utilized in preparing MOFs-based sensors. Additionally, the main limitations of each sensing type, along with the enhancement mechanisms of MOFs in addressing efficient sensing are discussed. Finally, the limitations and potential trends of MOFs-based materials in food contaminant detection are also highlighted.
摘要：
由于MOFs的理想特性，最近对使用基于金属有机框架（MOFs）的传感器检测食品污染物的兴趣不断增长。包括统一的结构，大表面积,超高孔隙率和易于功能化的表面。从根本上说,这篇综述提供了一个使用基于MOFs的传感器的优秀解决方案(例如，荧光，电化学,电化学发光，表面增强拉曼光谱,和比色传感器)来检测食品污染物，如农药残留，霉菌毒素,抗生素,食品添加剂,和其他危险的候选人。更重要的是,更详细地介绍了它们在食品检测中的应用场景和优势。因此,这篇系统综述分析了检测限，线性范围，功能的作用，和用于制备基于MOFs的传感器的固定化纳米颗粒。此外,每种传感类型的主要限制，讨论了MOFs在解决高效传感方面的增强机制。最后,还强调了基于MOFs的材料在食品污染物检测中的局限性和潜在趋势。
