Literature DB >> 31207567

Atomic matching catalysis to realize a highly selective and sensitive biomimetic uric acid sensor.

Zhuanzhuan Shi1, Xiaoli Li2, Ling Yu3, Xiaoshuai Wu1, Jinggao Wu3, Chunxian Guo1, Chang Ming Li4.   

Abstract

A main challenge for biomimetic non-enzyme biosensors is to achieve high selectivity. Herein, an innovative biomimetic non-enzyme sensor for electrochemical detection of uric acid (UA) with high selectivity and sensitivity is realized by growing Prussian blue (PB) nanoparticles on nitrogen-doped carbon nanotubes (N-doped CNTs). The enhancement mechanism of the biomimetic UA sensor is proposed to be atomically matched active sites between two reaction sites (oxygen atoms of 2, 8-trione, 6.9 Å) of UA molecule and two redox centers (FeII on the diagonal, 7.2 Å) of PB. Such an atomically matching manner not only promotes strong adsorption of UA on PB but also selectively enhances electron transfer between reaction sites of UA and active FeII centers of PB. This biomimetic UA sensor can offer great selectivity to avoid interferences from other oxidative and reductive species, showing excellent selectivity. An electrochemical biomimetic sensor based on PB/N-doped CNTs was applied to in situ detect UA in human serum, delivering a wide dynamic detection range (0.001-1 mM) and a low detection limit (0.26 μM). This work provides a high-performance UA sensor while shedding a scientific light on using atomic matching catalysis to fabricate highly sensitive and selective biomimetic sensors.
Copyright © 2019. Published by Elsevier B.V.

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Keywords:  Atomic matching catalysis; Biomimetic enzyme; Biosensor; High selectivity; Uric acid detection

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Year:  2019        PMID: 31207567     DOI: 10.1016/j.bios.2019.111421

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  1 in total

1.  Sandwiching Phosphorene with Iron Porphyrin Monolayer for High Stability and Its Biomimetic Sensor to Sensitively Detect Living Cell Released NO.

Authors:  Chunmei Zhang; Fangxin Hu; Xijuan Hao; Qianghai Rao; Tao Hu; Wei Sun; Chunxian Guo; Chang Ming Li
Journal:  Adv Sci (Weinh)       Date:  2022-01-02       Impact factor: 16.806

  1 in total

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