4.7 Article

Electrochemical mixed aptamer-antibody sandwich assay for mucin protein 16 detection through hybridization chain reaction amplification

Journal

ANALYTICAL AND BIOANALYTICAL CHEMISTRY
Volume 412, Issue 26, Pages 7169-7178

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s00216-020-02849-5

Keywords

Aptamer; Immunoassay; Hybridization chain reaction; Methylene blue; Mucin protein 16

Funding

  1. Medical Health Science and Technology Project of Zhejiang Provincial Health Commission [2017PY024, 2018PY022]
  2. Zhejiang Provincial Natural Science Foundation of China [LQ19H090019]
  3. Public Welfare from the Science and Technology Department of Zhejiang Province [2017C33201]

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A mixed aptamer-antibody sandwich assay for the determination of mucin protein 16 (MUC16) was developed based on hybridization chain reaction (HCR) with methylene blue (MB) as an electrochemical indicator. First, MUC16 antibody was adsorbed onto the surface of the Au nanoparticle (AuNP)-modified indium tin oxide (ITO) electrode to effectively capture the target MUC16. After MUC16 was captured by the MUC16 aptamer, an antibody/MUC16/aptamer sandwich structure formed for the highly selective detection of MUC16. The 3 ' end of the aptamer was then subjected to HCR with the assistance of auxiliary probes to obtain DNA concatemers. Numerous MB molecules bonded with G bases in the DNA concatemers by immersing the modified ITO electrode into a stirred solution containing MB with KCl. Stepwise changes in the microscopic features of the electrode surface were studied by scanning electron microscopy (SEM). Cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) were used to characterize the electrochemical behavior of the different modified electrodes. The oxidation current of MB was detected by differential pulse voltammetry (DPV). Under the optimum conditions, the proposed mixed aptamer-antibody sandwich assay showed wide dynamic range from 0.39 to 200 unit mL(-1)with a low detection limit of 0.02 unit mL(-1)(S/Nratio = 3). The proposed method showed good accuracy, selectivity, and acceptable reproducibility.

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