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.

在当前实践中，现代工业催化剂能够多次增加化学原料的价值，但是合成催化剂无法匹配酶的效率和选择性。同样，合成化学传感器不能与蛋白质受体的敏感性和选择性相媲美。生物系统是通过自然选择通过进化来调整的，可以通过最聪明的设计师可能难以预测的方式调整其功能。我们建议创建能够发展以磨练其功能的新催化剂和传感器。该项目的目的是创建一个新的分子容器，能够不断发展以绑定具有高亲和力的不同客人。当使用过渡态类似物用于模板时，这种适应将在创建特定特定的传感器和类似酶的催化剂中使用。能够快速使设计师催化剂的不同反应的能力以及在水中运行的能力，可以使这些催化胶囊在工业上作为绿色纳米反应器有用。