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A Polyaniline-based Sensor of Nucleic Acids
Published on: November 1, 2016
Aptamer-based immunosensor on the ZnO nanorods networks
Yoonkyung Nam1, Jungil Park, Youngmi Kim Pak
1School of Electrical Engineering, Korea University Anam-Dong 5-Ga, Seongbuk-Gu, Seoul 136-713, Korea.
Journal of Nanoscience and Nanotechnology
|September 13, 2012
Summary
This study introduces a novel aptamer-based electrochemical immunosensor using patterned zinc oxide nanorod networks for sensitive thrombin detection. The developed sensor demonstrates excellent electrochemical performance, a low detection limit, and high selectivity for thrombin.
Area of Science:
- Biosensors
- Nanomaterials Science
- Electrochemistry
Background:
- Aptamers offer high specificity and affinity for target biomolecules.
- Zinc oxide nanorod networks (ZNNs) provide a suitable platform for protein immobilization due to their high isoelectric point.
- Electrochemical immunosensors are valuable tools for detecting disease biomarkers.
Purpose of the Study:
- To fabricate and characterize a new aptamer-based electrochemical immunosensor for thrombin detection.
- To utilize patterned ZNNs for enhanced sensor performance.
- To establish an antibody-antigen-aptamer sandwich structure for sensitive thrombin quantification.
Main Methods:
- Fabrication of ZNNs on Au/Ti electrodes via hydrothermal growth and lift-off process.
- Immobilization of antibodies onto ZNNs, followed by incubation with ferrocene-labeled aptamers and thrombin.
- Electrochemical detection of thrombin using cyclic voltammetry to measure peak oxidation currents.
Main Results:
- The immunosensor exhibited a linear response to thrombin concentration (100 pM to 250 nM) with a logarithmic relationship.
- A low detection limit of approximately 91.04 pM was achieved.
- The sensor demonstrated good selectivity and electrochemical stability.
Conclusions:
- The fabricated aptamer-based immunosensor on ZNNs is a promising tool for electrochemical thrombin detection.
- The sensor design offers high sensitivity and selectivity, suitable for clinical applications.
- This work represents a novel approach in developing advanced biosensing platforms for biomarker analysis.

