Suppr超能文献

碳点纳米酶:如何接近天然酶

Carbon Dot Nanozymes: How to Be Close to Natural Enzymes.

作者信息

Lv Yang, Ma Mingrou, Huang Yucheng, Xia Yunsheng

机构信息

Key Laboratory of Functional Molecular Solids, Ministry of Education, College of Chemistry and Materials Science, Anhui Normal University, Wuhu, 241000, China.

出版信息

Chemistry. 2019 Jan 18;25(4):954-960. doi: 10.1002/chem.201804419. Epub 2018 Dec 12.

Abstract

The design, catalytic process, and property study of nanozymes are of importance for both fundamental research and application demand. Here, the peroxidase-mimicking properties of a series of carbon dots (C-dots) was systematically investigated and they were found to be probably closer to their natural counterparts, as compared to the known corresponding nanozymes. Firstly, four kinds of metal-free and surface-modulated C-dots were bottom-up fabricated using glucose, α-cyclodextrin (CD), β-CD, and γ-CD as precursors, respectively, and their formation processes, structures, as well as surface chemistry were investigated. Secondly, in the peroxidase-mimicking catalytic system, no hydroxyl radicals were produced, which indicates a different and special catalytic mode. By employing a joint experimental-theoretical study, a probable catalytic mechanism is proposed. Thirdly, the present C-dots maintained well their catalytic activity even in complicated serum matrices because their catalytic performances are completely irrelevant of any cation-related binding sites. Finally, the catalytic performances of the as-prepared C-dots were modulated by either pre-engineering NP surface structures or subsequently introducing photo-regulated host-guest reactions.

摘要

纳米酶的设计、催化过程及性能研究对于基础研究和应用需求均具有重要意义。在此,系统研究了一系列碳点(C-点)的类过氧化物酶性质,发现与已知的相应纳米酶相比,它们可能更接近天然对应物。首先,分别以葡萄糖、α-环糊精(CD)、β-CD和γ-CD为前体,通过自下而上的方法制备了四种无金属且表面调制的C-点,并研究了它们的形成过程、结构以及表面化学性质。其次,在类过氧化物酶催化体系中,未产生羟基自由基,这表明其催化模式不同且特殊。通过联合实验-理论研究,提出了一种可能的催化机制。第三,由于当前C-点的催化性能与任何阳离子相关的结合位点完全无关,因此即使在复杂的血清基质中,它们仍能很好地保持其催化活性。最后,通过预先设计纳米颗粒表面结构或随后引入光调节的主客体反应,对所制备的C-点的催化性能进行了调制。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验