Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5031640 | Biosensors and Bioelectronics | 2017 | 32 Pages |
Abstract
In this work, a novel impedimetric immunosensor was developed based on electrophoretic deposition of polymeric self-assembled nanoparticles for the sensitive determination of carcino-embryonic antigen (CEA). Biocompatible polymeric nanoparticles γ-PGA-DA@CS were prepared by self-assembly of chitosan (CS) and dopamine modified poly(γ-glutamic acid) (γ-PGA-DA) under mild conditions. A dense and nanostructured nanoparticles film was obtained on the electrode surface by electrophoretic deposition of γ-PGA-DA@CS nanoparticles. Gold nanoparticles (Au NPs) were then tightly anchored on γ-PGA-DA@CS film with homogeneous dispersion due to numerous exposed dopamine adhesive dots present on the surface of γ-PGA-DA@CS. The obtained Au/γ-PGA-DA@CS nanocomposite film not only increases the electrode surface area in nanoscale dimension, but also provides a highly stable and biocompatible matrix for the convenient conjugation of antibody, thus providing a high-efficiency immunoassay platform. Monoclonal antibodies to carcinoembryonic antigen (CEA-Ab) were effectively immobilized on the Au/γ-PGA-DA@CS film and a label-free impedimetric immunosensor was fabricated successfully as the ultimate goal. Under optimal conditions, the resultant immunosensor exhibited a wide linear range from 2.0Ã10-14 g mLâ1 to 2.0Ã10â8 g mLâ1 for the detection of CEA with a low detection limit of 10 fg mLâ1. To the best of our knowledge, this was the lowest detection limit compared with other counterparts of label-free impedimetric immunosensors. Moreover, the immunosensor showed high specificity, good stability and satisfactory reproducibility. As a proof of concept, the proposed strategy provided a promising and versatile platform for clinical immunoassay of other tumor markers and biomolecules.
Keywords
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Sheng Xu, Rongli Zhang, Wei Zhao, Ye Zhu, Wei Wei, Xiaoya Liu, Jing Luo,