分子印迹聚合物
金属有机骨架
纳米技术
生化工程
计算机科学
材料科学
化学
有机化学
工程类
催化作用
吸附
选择性
作者
Lingjun Geng,Jingcheng Huang,Mingxuan Fang,Sheng Wang,Jingjing Liu,Guangxian Wang,Mengjiao Hu,Jiashuai Sun,Yemin Guo,Xia Sun
出处
期刊:Food Chemistry
[Elsevier]
日期:2024-07-03
卷期号:458: 140330-140330
被引量:3
标识
DOI:10.1016/j.foodchem.2024.140330
摘要
Food safety is an important cornerstone of protecting human health and life. Therefore, it is of great significance to detect possible pollutants in food sensitively and efficiently. Molecularly imprinted polymers (MIPs) and metal-organic frameworks (MOFs) have been widely used in the adsorption and detection of food pollutants. However, traditional MIPs have problems such as uneven loading of the imprinted cavity and slow mass transfer efficiency. While the adsorption of MOFs has low specificity and cannot accurately identify target molecules. Therefore, some researchers have taken advantage of the high specific recognition abilities of MIPs and the large specific surface areas, high porosity and easy functionalization of MOFs to combine MOFs with MIPs, and have achieved a series of important results in the field of food safety detection. This paper reviews the research progress of the application of MOFs-MIPs in the field of food safety detection from 2019 to 2024. It furnishes researchers interested in this domain with a rapid and comprehensive grasp of the latest research status, it also offers them a chance to anticipate future development trends, thereby supporting the continuous advances of MOFs-MIPs in food safety detection.
科研通智能强力驱动
Strongly Powered by AbleSci AI