4.6 Article

Electrochemical immunosensor for human chorionic gonadotropin based on horseradish peroxidase-functionalized Prussian blue-carbon nanotubes/gold nanocomposites as labels for signal amplification

Journal

ELECTROCHIMICA ACTA
Volume 56, Issue 5, Pages 1973-1980

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.electacta.2010.12.003

Keywords

Carbon nanotubes; Prussian blue; Electrochemical immunosensor; Enzyme amplification; Human chorionic gonadotropin

Funding

  1. NNSF of China [21075100]
  2. Ministry of Education of China [708073]
  3. Natural Science Foundation of Chongqing City [CSTC-2009BA1003]
  4. State Key Laboratory of Electroanalytical Chemistry (SKLEAC) [2010009]
  5. High Technology Project Foundation of Southwest University, China [XSGX02]
  6. Southwest China University [KB2010006]

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A new strategy for the sensitive detection of biomarker using Prussian blue-carbon nanotubes/gold nanocomposites (GNPs-PB-CNTs) as labels and horseradish peroxidase (HRP) as an enhancer is presented herein. Chitosan hydrogel and TiO2 nanocomposites were first coated onto a glassy carbon electrode (GCE) surface, which provided a biocompatible interface with abundant -NH2 groups for the immobilization of primary antibodies (Ab(1)). The detectable signal was recorded and amplified based on a sandwich-type immunoassay by the employment of HRP-labeled secondary antibodies (HRP-Ab(2)) and GNPs-PB-CNTs bioconjugates according to the electrocatalytic reduction of H2O2 by bound HRP in the presence of PB. Using human chorionic gonadotropin (HCG) as a model analyte, experimental results showed that the prepared HRP-Ab(2)-GNPs-PB-CNTs bioconjugates exhibited satisfactory redox activity and high efficiency of enzyme catalysis. Under optimized conditions, the immunosensor showed a low detection limit of 0.023 mIU/mL HCG, with a linear range from 0.05 to 150 mIU/mL. The proposed method exhibited high sensitivity, acceptable stability and reproducibility, and could be extended to detect other protein targets. (C) 2010 Elsevier Ltd. All rights reserved.

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