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Molecular self-repair

分子自我修复

基本信息

批准号：
EP/D053080/1
负责人：
Anthony Harriman
金额：
$ 33.99万
依托单位：
Newcastle University
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2006
资助国家：
英国
起止时间：
2006 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FD053080%2F1
关键词：
Molecular self repair

项目摘要

Molecular-scale materials are set to replace existing microscopic structures in many sophisticated applications, including energy conversion, advanced data storage, chemical and biochemical sensors, selective catalysis, and information transfer. Before such systems could be used in large-scale facilities it is necessary to consider three factors; namely, the systems must be self-assembled from discrete modules, a methodology must be introduced whereby defective modules can be repaired and some way has to be found to ensure that modules can be recycled. The most challenging feature of this plan concerns the advent of self-repair at the molecular level. An obvious analogy is that of biological systems which automatically sense and initiate self-repair when they sustain damage. We introduce here a multi-faceted approach towards equipping functionalized molecular arrays with the ability to recognise and locate damage and suggest routes whereby repair processes can be activated. Our work is necessarily at a primitive stage and we seek no more than to (i) bring attention to the problem and (ii) take the first steps towards identifying promising routes for future research. Learning from Nature, we propose to make parallel studies into molecular redundancy, the reservoir effect, excision and replacement of damaged components, and in situ repair of defective parts. The long-term ambition is to build intelligent molecular materials with self-repairing capabilities that require very little or preferably no human intervention.

分子级材料将在许多复杂的应用中取代现有的微观结构，包括能量转换、先进的数据存储、化学和生化传感器、选择性催化和信息传输。在此类系统用于大型设施之前，有必要考虑三个因素：也就是说，系统必须由离散模块自行组装，必须引入一种可以修复有缺陷的模块的方法，并且必须找到某种方法来确保模块可以回收利用。该计划最具挑战性的特点涉及分子水平自我修复的出现。一个明显的类比是生物系统在受到损害时会自动感知并启动自我修复。我们在这里介绍一种多方面的方法，使功能化分子阵列能够识别和定位损伤，并提出激活修复过程的途径。我们的工作必然处于初级阶段，我们的目的无非是（i）引起人们对问题的关注，以及（ii）采取第一步来确定未来研究的有希望的路线。向自然学习，我们建议对分子冗余、储存效应、受损部件的切除和更换以及缺陷部件的原位修复进行并行研究。长期目标是构建具有自我修复能力的智能分子材料，几乎不需要或最好不需要人类干预。