化学
金属有机骨架
纳米颗粒
催化作用
铂纳米粒子
组合化学
氧化还原
电子转移
过氧化物酶
密度泛函理论
材料科学
酶
纳米技术
铂金
金属
光化学
无机化学
有机化学
计算化学
吸附
作者
Jing Li,Jie Zhao,Shengqiang Li,Yang Chen,Weiqiang Lv,Jiahui Zhang,Libing Zhang,Zhen Zhang,Xiaoquan Lu
出处
期刊:Nano Research
[Springer Science+Business Media]
日期:2021-03-27
卷期号:14 (12): 4689-4695
被引量:100
标识
DOI:10.1007/s12274-021-3406-z
摘要
The metal—organic frameworks (MOFs) are expected as ideal biomimetic enzymes for colorimetric glucose detection because of their large surface areas, well defined pore structures, tunable chemical composition, and multi-functional sites. However, the intrinsically chemical instability and low mimetic enzyme activity of MOFs hinder the application of them in imitating the enzyme reactions. In this work, we demonstrated a metal-MOF synergistic catalysis strategy, by loading Pt nanoparticles (Pt NPs) on MIL-88B-NH2 (Fe-MOF) to increase peroxidase-like activity for the detection of glucose. The induced electrons transfer from Pt atom to Fe atom accelerated the redox cycling of Fe3+/Fe2+, improved the overall efficiency of the peroxidase-like reaction, and enabled the efficient and robust colorimetric glucose detection, which was proved by both experiments and density functional theory (DFT) calculation. Additionally, the sensitivity and chemical stability of this synergistic effect strategy to detect the glucose are not affected by the complex external factors, which represented a great potential in fast, easy, sensitive, and specific recognition of clinical diabetes.
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