Tuning Atomically Dispersed Fe Sites in Metal–Organic Frameworks Boosts Peroxidase-Like Activity for Sensitive Biosensing

被引:0
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作者
Weiqing Xu [1 ]
Yikun Kang [2 ]
Lei Jiao [1 ]
Yu Wu [1 ]
Hongye Yan [1 ]
Jinli Li [1 ]
Wenling Gu [1 ]
Weiyu Song [2 ]
Chengzhou Zhu [2 ]
机构
[1] Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University
[2] State Key Laboratory of Heavy Oil Processing, China University of
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TB383.1 []; TP212.3 [生物传感器、医学传感器];
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摘要
Although nanozymes have been widely developed, accurate design of highly active sites at the atomic level to mimic the electronic and geometrical structure of enzymes and the exploration of underlying mechanisms still face significant challenges. Herein, two functional groups with opposite electron modulation abilities(nitro and amino) were introduced into the metal–organic frameworks(MIL-101(Fe)) to tune the atomically dispersed metal sites and thus regulate the enzymelike activity. Notably, the functionalization of nitro can enhance the peroxidase(POD)-like activity of MIL-101(Fe), while the amino is poles apart. Theoretical calculations demonstrate that the introduction of nitro can not only regulate the geometry of adsorbed intermediates but also improve the electronic structure of metal active sites. Benefiting from both geometric and electronic e ects, the nitro-functionalized MIL-101(Fe) with a low reaction energy barrier for the HO* formation exhibits a superior POD-like activity. As a concept of the application, a nitro-functionalized MIL-101(Fe)-based biosensor was elaborately applied for the sensitive detection of acetylcholinesterase activity in the range of 0.2–50 m U m L-1 with a limit of detection of 0.14 m U m L-1. Moreover, the detection of organophosphorus pesticides was also achieved. This work not only opens up new prospects for the rational design of highly active nanozymes at the atomic scale but also enhances the performance of nanozyme-based biosensors.
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页码:396 / 407
页数:12
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