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Issue 23, 2019
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Ag+-coordinated oligonucleotides on gold nanoparticles for anodic-stripping voltammetric immunoassay of cancer antigen 125 for cervical carcinoma

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Abstract

A simple and enzyme-free electrochemical immunoassay was developed for the sensitive screening of cancer antigen 125 (CA 125; one biomarker for epithelial ovarian tumors and cervical carcinoma) using anodic-stripping voltammetry (ASV). The electrochemical immunosensor was constructed through immobilization of monoclonal anti-CA 125 antibody on an activated glassy carbon electrode on the basis of a classical carbodiimide coupling method. Cytosine (C)-rich oligonucleotide strands and polyclonal anti-CA 125 antibody labeled onto gold nanoparticles (AuNPs) were used as detection probes to quantify the target analyte with a sandwiched assay format. The voltammetric signal derived from the coordinated silver ions (Ag+) on the AuNPs through the C–Ag+–C coordination chemistry. Accompanying the formation of target-induced immunocomplexes, the coordinated Ag+ ions exhibited good voltammetric characteristics within the applied potentials. Under optimal conditions, the C–Ag+–C-based immunoassay displayed sensitive responses toward target CA 125 within a dynamic linear range of 0.01–100 U mL−1 at a limit of detection of 6.8 mU mL−1. Good reproducibility, high specificity and acceptable accuracy of this method were acquired for analysis of human serum specimens. Importantly, this immunoassay system offers a promising protocol for the detection of disease-related biomarkers without the need for natural enzymes.

Graphical abstract: Ag+-coordinated oligonucleotides on gold nanoparticles for anodic-stripping voltammetric immunoassay of cancer antigen 125 for cervical carcinoma

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Article information


Submitted
25 Apr 2019
Accepted
15 May 2019
First published
15 May 2019

Anal. Methods, 2019,11, 2976-2982
Article type
Paper

Ag+-coordinated oligonucleotides on gold nanoparticles for anodic-stripping voltammetric immunoassay of cancer antigen 125 for cervical carcinoma

H. Xue, J. Zheng, Q. Chen, Q. Wang, Y. Lin and J. Chen, Anal. Methods, 2019, 11, 2976
DOI: 10.1039/C9AY00875F

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