Real-time tracking and quantification of endogenous hydrogen peroxide production in living cells using graphenated carbon nanotubes supported Prussian blue cubes

被引:45
作者
Balamurugan, T. S. T. [1 ]
Mani, Veerappan [1 ,2 ]
Hsieh, Chang-Che [2 ]
Huang, Sheng-Tung [1 ,2 ]
Peng, Tie-Kun [1 ,2 ]
Lin, Hsin-Yi [1 ,2 ]
机构
[1] Natl Taipei Univ Technol, Dept Chem Engn & Biotechnol, 1,Sect 3,Chung Hsiao East Rd, Taipei 106, Taiwan
[2] Natl Taipei Univ Technol, Inst Biochem & Biomed Engn, 1,Sect 3,Chung Hsiao East Rd, Taipei 106, Taiwan
关键词
Reactive oxygen species; Signal transduction molecules; Oxidative stress; 2D layered materials; Nanotechnology; Modified electrode; NITROGEN-DOPED GRAPHENE; ELECTROCHEMICAL DETECTION; AMPEROMETRIC BIOSENSOR; GOLD NANOPARTICLES; OXIDATIVE STRESS; FACILE SYNTHESIS; HYBRID MATERIAL; OXIDE; H2O2; ELECTRODE;
D O I
10.1016/j.snb.2017.10.151
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Recent years have seen a growing interest towards real-time tracking and quantification of reactive oxygen species such as, H2O2 released in living cells, as they are potential biomarkers for pathogenesis. Herein, we described a rapid and sensitive enzymeless H2O2 assay using Prussian blue microcubes (PB MCs) decorated graphenated carbon nanotubes (g-CNTs) modified electrode for the tracking of in-vivo H2O2 production in mammalian cells. The hydrothermally prepared PB MCs were blended with g-CNTs to yield 3D hierarchical network of PB MCs/g-CNTs nanocomposite, suitable for efficient electrocatalysis. The g-CNTs/PB MCs film modified electrode was fabricated which displayed excellent electrocatalytic activity to H2O2 reduction at minimized overpotential. A straightforward amperometric sensor was constructed that displayed working range of 25 nM-1598 mu M, and detection limit of 13 nM. The described nonenzymatic H2O2 assay is rapid, sensitive, selective, durable, reproducible and robust. The method was successful in sensing in-vivo H2O2 production from Raw 264.7 cells indicating its potential in biochemical and clinical applications. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:220 / 227
页数:8
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