• 文献标题:   Nanogold-enhanced graphene nanosheets as multienzyme assembly for sensitive detection of low-abundance proteins
  • 文献类型:   Article
  • 作  者:   CHEN HF, GAO ZQ, CUI YL, CHEN GN, TANG DP
  • 作者关键词:   electrochemical immunosensor, multifunctional graphene nanosheet, redoxactive nanolabel, multienzyme assembly, carcinoembryonic antigen, lowabundance protein
  • 出版物名称:   BIOSENSORS BIOELECTRONICS
  • ISSN:   0956-5663 EI 1873-4235
  • 通讯作者地址:   Fuzhou Univ
  • 被引频次:   32
  • DOI:   10.1016/j.bios.2012.12.054
  • 出版年:   2013

▎ 摘  要

A new electrochemical immunosensing protocol was designed for detection of carcinoembryonic antigen (CEA, as a model protein) by using graphene-carried poly(o-phenylenediamine)/gold hybrid nanosheets (GNPGs) as signal tags on the hierarchical dendritic gold microstructures (HDGMs)-modified glassy carbon electrode. To prepare the signal tags, poly(o-phenylenediamine) molecules were initially immobilized on the surface of graphene nanosheets via the pi-stacking interaction. Then gold nanoparticles were assembled onto the poly(o-phenylenediamine)-modified graphene nanosheets, which were used for the labeling of anti-CEA detection antibodies and horseradish peroxidase (HRP). The as-prepared GNPGs were characterized by using atomic force microscopy (AFM), transmission electron microscopy (TEM) and UV-vis absorption spectroscopy. The assay was carried out with a sandwich-type immunoassay format in pH 5.5 acetic acid-buffered saline solutions containing 2.5 mmol L-1 H2O2. Under optimal conditions, the electrochemical immunoassay exhibited a wide dynamic range of 0.005-80 ng mL(-1) toward CEA standards with a low detection limit of 5.0 pg mL(-1). Intra- and inter-assay coefficients of variation were less than 11.5%. No significant difference at the 0.05 significance level was encountered in the analysis of 6 clinical serum specimens and 6 spiked blank new born cattle serum specimens between the developed immunoassay and commercially available electrochemiluminescent (ECL) method for the detection of CEA. (C) 2013 Elsevier B.V. All rights reserved.