Niu_2019_Biosens.Bioelectron_142_111495

Reference

Title : Unprecedented peroxidase-mimicking activity of single-atom nanozyme with atomically dispersed Fe-Nx moieties hosted by MOF derived porous carbon - Niu_2019_Biosens.Bioelectron_142_111495
Author(s) : Niu X , Shi Q , Zhu W , Liu D , Tian H , Fu S , Cheng N , Li S , Smith JN , Du D , Lin Y
Ref : Biosensors & Bioelectronics , 142 :111495 , 2019
Abstract :

Due to robustness, easy large-scale preparation and low cost, nanomaterials with enzyme-like characteristics (defined as 'nanozymes') are attracting increasing interest for various applications. However, most of currently developed nanozymes show much lower activity in comparison with natural enzymes, and the deficiency greatly hinders their use in sensing and biomedicine. Single-atom catalysts (SACs) offer the unique feature of maximum atomic utilization, providing a potential pathway to improve the catalytic activity of nanozymes. Herein, we propose a Fe-N-C single-atom nanozyme (SAN) that exhibits unprecedented peroxidase-mimicking activity. The SAN consists of atomically dispersed Fe horizontal line Nx moieties hosted by metal-organic frameworks (MOF) derived porous carbon. Thanks to the 100% single-atom active Fe dispersion and the large surface area of the porous support, the Fe-N-C SAN provided a specific activity of 57.76 U mg(-1), which was almost at the same level as natural horseradish peroxidase (HRP). Attractively, the SAN presented much better storage stability and robustness against harsh environments. As a proof-of-concept application, highly sensitive biosensing of butyrylcholinesterase (BChE) activity using the Fe-N-C SAN as a substitute for natural HRP was further verified.

PubMedSearch : Niu_2019_Biosens.Bioelectron_142_111495
PubMedID: 31310943

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Citations formats

Niu X, Shi Q, Zhu W, Liu D, Tian H, Fu S, Cheng N, Li S, Smith JN, Du D, Lin Y (2019)
Unprecedented peroxidase-mimicking activity of single-atom nanozyme with atomically dispersed Fe-Nx moieties hosted by MOF derived porous carbon
Biosensors & Bioelectronics 142 :111495

Niu X, Shi Q, Zhu W, Liu D, Tian H, Fu S, Cheng N, Li S, Smith JN, Du D, Lin Y (2019)
Biosensors & Bioelectronics 142 :111495