4.7 Article

Highly sensitive luminol electrochemiluminescence immunosensor based on ZnO nanoparticles and glucose oxidase decorated graphene for cancer biomarker detection

期刊

ANALYTICA CHIMICA ACTA
卷 745, 期 -, 页码 137-142

出版社

ELSEVIER
DOI: 10.1016/j.aca.2012.08.010

关键词

Electrochemiluminescence; Glucose oxidase; Immunosensor; ZnO nanoparticles; Carcinoembryonic antigen

资金

  1. NNSF of China [21075100]
  2. State Key Laboratory of Electroanalytical Chemistry [SKLEAC2010009]
  3. Ministry of Education of China [708073]
  4. Natural Science Foundation of Chongqing City [CSTC-2009BA1003, CSTC-2010BB4121]
  5. Specialized Research Fund for the Doctoral Program of Higher Education [20100182110015]
  6. High Technology Project Foundation of Southwest University [XSGX02]
  7. Southwest China University [KB2010006]

向作者/读者索取更多资源

In this work, we reported a sandwiched luminol electrochemiluminescence (ECL) immunosensor using ZnO nanoparticles (ZnONPs) and glucose oxidase (GOD) decorated graphene as labels and in situ generated hydrogen peroxide as coreactant. In order to construct the base of the immunosensor, a hybrid architecture of Au nanoparticles and graphene by reduction of HAuCl4 and graphene oxide (GO) with ascorbic acid was prepared. The resulted hybrid architecture modified electrode provided an excellent platform for immobilization of antibody with good bioactivity and stability. Then. ZnONPs and GOD functionalized graphene labeled secondary antibody was designed for fabricating a novel sandwiched ECL immunosensor. Enhanced sensitivity was obtained by in situ generating hydrogen peroxide with glucose oxidase and the catalysis of ZnONPs to the ECL reaction of luminol-H2O2 system. The as-prepared ECL immunosensor exhibited excellent analytical property for the detection of carcinoembryonic antigen (CEA) in the range from 10 pg mL(-1) to 80 ng mL(-1) and with a detection limit of 3.3 pg mL(-1) (SN-1 = 3). The amplification strategy performed good promise for clinical application of screening of cancer biomarkers. (C) 2012 Elsevier B.V. All rights reserved.

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