分子印迹聚合物的严格识别模式分析--合理设计、挑战与机遇

IF 26 1区 化学 Q1 POLYMER SCIENCE Progress in Polymer Science Pub Date : 2024-01-19 DOI:10.1016/j.progpolymsci.2024.101790
Yanxia Liu , Lulu Wang , Haitao Li , Lin Zhao , Yanfu Ma , Yagang Zhang , Jian Liu , Yen Wei
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引用次数: 0

摘要

超分子化学是一种精心设计的 "赋能工具",为新型功能材料的设计提供了令人兴奋的机遇。分子印迹聚合物(MIPs)也被称为 "合成抗体",它是超分子化学最新进展的受益领域之一。它利用模板分子的记忆在聚合物基质中形成量身定制的结合位点。这篇综述从严格的识别模式分析角度提供了见解,并重点介绍了 MIPs 不断发展的方法。首先,仔细回顾了分子印迹技术的原理和识别模式。讨论了 MIPs 与酶的相似之处和主要区别。描绘了 MIP 的内部三维结构模型,强调了结合位点异质性的起源和后果,总结了优化识别度和印记效率的方法。讨论了压印效果的评估标准以及手性识别在分子压印中的作用。随后,综述了设计和合成 MIP 的重要方法。相关方法包括 MIP 传感器的染料置换策略、多功能基团识别、使用树枝状聚合物的单分子压印、基于受限旋转的溶剂可编程聚合物 (SPP)、模板激活分子压印策略、点击化学的分子压印以及计算策略的分子压印演化。最后,还讨论了 MIPs 在识别蛋白质、细菌和病毒等生物大分子方面取得的令人振奋的进展。因此,本综述的目的是激发 MIP 材料的新应用,并为如何将这些应用变为现实提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Rigorous recognition mode analysis of molecularly imprinted polymers—Rational design, challenges, and opportunities

Supramolecular chemistry now presents an elaborate „enabling tool“ that offers exciting opportunities for novel functional material design. One of the areas to benefit from recent advances in supramolecular chemistry is the field of molecularly imprinted polymers (MIPs), also known as “synthetic antibodies”. It uses the memory of template molecules to form tailor-made binding sites in the polymer matrix. This review provides insights from rigorous recognition mode analysis perspectives and highlights evolving approaches in MIPs. First, the principles and recognition mode of molecular imprinting technology are carefully reviewed. The similarities and major differences between MIPs and enzymes are discussed. The internal 3D structure model of MIP is depicted, the origin and consequences of binding site heterogeneity are highlighted, and methods for the optimization of the recognition degree and imprinting efficiency are summarized. The criteria for evaluating imprinting efficacy and the role of chiral recognition in molecular imprinting are discussed. Subsequently, important approaches for the design and synthesis of MIPs a reviewed. Relevant approaches include dye displacement strategy for MIP sensors, multi-functional group recognition, monomolecular imprinting using dendrimers, solvent programmable polymer (SPP) based on restricted rotation, template activated molecular imprinting strategy, molecular imprinting with click chemistry, and evolution of molecular imprinting with computational strategies. Finally, the exciting progress of MIPs for recognition of biomacromolecules such as proteins, bacteria and viruses are discussed. The goal of this review is thus to inspire new applications of MIP materials and to provide a guide for how these applications might become a reality.

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来源期刊
Progress in Polymer Science
Progress in Polymer Science 化学-高分子科学
CiteScore
48.70
自引率
1.10%
发文量
54
审稿时长
38 days
期刊介绍: Progress in Polymer Science is a journal that publishes state-of-the-art overview articles in the field of polymer science and engineering. These articles are written by internationally recognized authorities in the discipline, making it a valuable resource for staying up-to-date with the latest developments in this rapidly growing field. The journal serves as a link between original articles, innovations published in patents, and the most current knowledge of technology. It covers a wide range of topics within the traditional fields of polymer science, including chemistry, physics, and engineering involving polymers. Additionally, it explores interdisciplinary developing fields such as functional and specialty polymers, biomaterials, polymers in drug delivery, polymers in electronic applications, composites, conducting polymers, liquid crystalline materials, and the interphases between polymers and ceramics. The journal also highlights new fabrication techniques that are making significant contributions to the field. The subject areas covered by Progress in Polymer Science include biomaterials, materials chemistry, organic chemistry, polymers and plastics, surfaces, coatings and films, and nanotechnology. The journal is indexed and abstracted in various databases, including Materials Science Citation Index, Chemical Abstracts, Engineering Index, Current Contents, FIZ Karlsruhe, Scopus, and INSPEC.
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