Lahcen Abdellatif Ait, Surya Sandeep G, Beduk Tutku, Vijjapu Mani Teja, Lamaoui Abderrahman, Durmus Ceren, Timur Suna, Shekhah Osama, Mani Veerappan, Amine Aziz, Eddaoudi Mohamed, Salama Khaled Nabil
Sensors Lab, Advanced Membranes and Porous Materials Center (AMPMC), Computer, Electrical, and Mathematical Science and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal23955-6900, Saudi Arabia.
Chemical Analysis and Biosensors Group, Laboratory of Process Engineering and Environment, Faculty of Science and Techniques, Hassan II University of Casablanca, B.P. 146, Mohammedia99999, Morocco.
ACS Appl Mater Interfaces. 2022 Oct 31;14(44):49399-424. doi: 10.1021/acsami.2c12842.
The use of porous materials as the core for synthesizing molecularly imprinted polymers (MIPs) adds significant value to the resulting sensing system. This review covers in detail the current progress and achievements regarding the synergistic combination of MIPs and porous materials, namely metal/covalent-organic frameworks (MOFs/COFs), including the application of such frameworks in the development of upgraded sensor platforms. The different processes involved in the synthesis of MOF/COF-MIPs are outlined, along with their intrinsic properties. Special attention is paid to debriefing the impact of the morphological changes that occur through the synergistic combination compared to those that occur due to the individual entities. Thereafter, the strategies used for building the sensors, as well as the transduction modes, are overviewed and discussed. This is followed by a full description of research advances for various types of MOF/COF-MIP-based (bio)sensors and their applications in the fields of environmental monitoring, food safety, and pharmaceutical analysis. Finally, the challenges/drawbacks, as well as the prospects of this research field, are discussed in detail.
使用多孔材料作为合成分子印迹聚合物(MIP)的核心,为所得传感系统增添了重要价值。本综述详细介绍了MIP与多孔材料(即金属/共价有机框架(MOF/COF))协同组合的当前进展和成果,包括此类框架在升级传感器平台开发中的应用。概述了MOF/COF-MIP合成过程中涉及的不同步骤及其固有特性。特别关注解读协同组合所产生的形态变化与单个实体所产生的形态变化相比的影响。此后,概述并讨论了构建传感器所采用的策略以及转导模式。接下来是对各类基于MOF/COF-MIP的(生物)传感器的研究进展及其在环境监测、食品安全和药物分析领域的应用的全面描述。最后,详细讨论了该研究领域的挑战/缺点以及前景。