Artificial Dynamic Guest-Adaptive Hosts for Catalysts and Sensors

用于催化剂和传感器的人工动态客体自适应主机

• 批准号: 372823299
• 负责人: Dr. Zhenpin Lu
• 金额: --
• 依托单位: Yusuf Hamied Department of Chemistry
• 依托单位国家: 德国
• 项目类别: Research Fellowships
• 财政年份: 2017
• 资助国家: 德国
• 起止时间: 2016-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/372823299?language=en
• 关键词: Artificial; Dynamic; Guest; Adaptive; Hosts

Modern industrial catalysts are able to multiply the value of chemical feedstocks many times in current practice, but synthetic catalysts are unable to match the efficiency and selectivity of enzymes. Likewise, synthetic chemosensors cannot rival the sensitivity and selectivity of protein receptors. Biological systems are tuned by evolution via natural selection, allowing their function to be tuned in ways that the cleverest designer might find hard to predict. We propose to create new catalysts and sensors that are able to evolve to hone their function. The goal of this project is to create a new class of molecular containers capable of evolving to bind different guests with high affinity. This adaptation will find use in the creation of guest-specific sensors and enzyme-like catalysts, when transition-state analogues are used for templation. The ability to quickly make designer catalysts for different reactions, coupled with the ability to operate in water, could render these catalytic capsules industrially useful as green nano-reactors.

现代工业催化剂能够使化学原料的价值成倍增加，但合成催化剂无法与酶的效率和选择性相提并论。同样，合成的化学传感器无法与蛋白质受体的灵敏度和选择性相媲美。生物系统是通过自然选择通过进化来调整的，这使得它们的功能可以以最聪明的设计师可能很难预测的方式进行调整。我们建议创造新的催化剂和传感器，能够进化来磨练它们的功能。该项目的目标是创造一种新的分子容器，能够进化以高亲和力结合不同的客人。当过渡态类似物用于模板化时，这种适应将被用于创造客体特定的传感器和类似酶的催化剂。快速制造针对不同反应的设计催化剂的能力，再加上在水中操作的能力，可能使这些催化胶囊作为绿色纳米反应器在工业上有用。