Marine Engineering College, Dalian Maritime University, Dalian, Liaoning Province, P. R. China.
Dalian Maritime University, Engineering Technology Center for Ship Safety and Pollution Control, Dalian, Liaoning Province, P. R. China.
J Sep Sci. 2024 Aug;47(16):e2400353. doi: 10.1002/jssc.202400353.
Molecularly imprinted polymers, a type of special polymer materials, are widely used in biosensing and other fields due to their ability to specifically recognize target molecules, often called "artificial receptors.". Nowadays, researchers are constantly exploring new design and synthesis methods for molecularly imprinted materials to improve the selectivity and sensitivity of molecularly imprinted materials. Among them, the selection of functional monomers has attracted great attention. This review comprehensively analyzes and discusses the selection methods of functional monomers. The most commonly used functional monomers among different types of templates are screened based on the structural properties of the template molecules, including the selection of functional monomers among ion-imprinted polymers, protein-imprinted polymers, and bacterial imprinted polymers. The rich binding sites and functional group types of multifunctional monomers are also highlighted to advance the development of molecular imprinting technology. The article further explores the current challenges and prospects in the selection of functional monomers and emphasizes multiplex experiments and computer simulations as important directions for future research. This review provides comprehensive information and constructive guidelines for researchers in selecting functional monomers in areas such as analytical chemistry and biosensors.
分子印迹聚合物是一种特殊的聚合物材料,由于其能够特异性识别目标分子,通常被称为“人工受体”,因此被广泛应用于生物传感等领域。如今,研究人员不断探索分子印迹材料的新设计和合成方法,以提高分子印迹材料的选择性和灵敏度。其中,功能单体的选择引起了极大的关注。本文全面分析和讨论了功能单体的选择方法。根据模板分子的结构特性,筛选出不同类型模板中最常用的功能单体,包括离子印迹聚合物、蛋白质印迹聚合物和细菌印迹聚合物中的功能单体选择。还强调了多功能单体丰富的结合位点和官能团类型,以推进分子印迹技术的发展。文章进一步探讨了功能单体选择中当前的挑战和前景,并强调了多重实验和计算机模拟是未来研究的重要方向。本文为分析化学和生物传感器等领域的研究人员在选择功能单体方面提供了全面的信息和建设性的指导。