4.7 Article

A sensitive label-free electrochemical immunosensor for detection of cytokeratin 19 fragment antigen 21-1 based on 3D graphene with gold nanopaticle modified electrode

Journal

TALANTA
Volume 178, Issue -, Pages 122-128

Publisher

ELSEVIER
DOI: 10.1016/j.talanta.2017.09.020

Keywords

Cytokeratin 19 fragment 21-1; 3D-G@Au; Label-free; Electrochemical immunosensor

Funding

  1. Chongqing Science and Technology Commission [CSTC2015shmszxl20097]
  2. National Natural Science Foundation of China [81271930, 81171414]
  3. Chongqing Graduate Student Research Innovation Project [CYB16038]
  4. Workstation in Sichuan Province [GY2015-01]
  5. Chongqing University

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Previous studies have confirmed that cytokeratin 19 fragment antigen 21-1 (CYFRA 21-1) serves as a powerful biomarker in non-small cell lung cancer (NSCLC). Herein, we report for the first time a label-free electrochemical immunosensor for sensitive and selective detection of tumor marker CYFRA21-1. In this work, three-dimensional graphene @ gold nanoparticles (3D-G@Au) nanocomposite was modified on the glassy carbon electrode (GCE) surface to enhance the conductivity of immunosensor. The anti-CYFRA21-1 captured and fixed on the modified GCE through the cross-linking of chitosan (CS), glutaraldehyde (GA) and anti-CYFRA21-1. The differential pulse voltammetry (DPV) peak current change due to the specific interaction between anti-CYFRA21-1 and CYFRA21-1 on the modified electrode surface was utilized to detect CYFRA21-1. Under optimized conditions, the proposed electrochemical immunosensor was employed to detect CYFRA21-1 and exhibited a wide linear range of 0.25-800 ng mL(-1) and low detection limit of 100 pg mL(-1) (S/N = 3). Moreover, the recovery rates of serum samples were in the range from 95.2% to 108.7% and the developed immunosensor also shows a good correlation (less than 6.6%) with enzyme-linked immunosorbent assay (ELISA) in the detection of clinical serum samples. Therefore, it is expected that the proposed immunosensor based on a 3D-G@Au has great potential in clinical medical diagnosis of CYFRA21-1.

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