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Thrombin Determination Using Graphene Oxide Sensors with Co-Assisted Amplification
Lei Liu1, Qin Li2, Haixia Shi3
1Department of Kidney Transplantation, The Second Xiangya Hospital of Central South University, Changsha 410011, China.
Micromachines
|September 23, 2022
Summary
This study introduces a novel graphene oxide (GO) and DNA sensor for highly sensitive thrombin detection. The developed sensor achieves an ultra-low detection limit of 24.35 femtomolar (fM) for thrombin.
Area of Science:
- Biomedical Engineering
- Materials Science
- Analytical Chemistry
Background:
- Graphene oxide (GO) is a versatile material for biosensor development.
- Existing GO-based protein sensors require enhanced sensitivity for accurate detection.
- Thrombin detection is crucial for diagnosing and monitoring various medical conditions.
Purpose of the Study:
- To develop a highly sensitive graphene oxide (GO)-DNA sensor for thrombin detection.
- To improve the limit of detection (LOD) for thrombin using a novel signal amplification strategy.
- To enhance the specificity and reduce non-specific adsorption in the sensor.
Main Methods:
- Fabrication of a GO-DNA sensor utilizing aptamers immobilized on GO surface.
- Incorporation of polyethylene glycol (PEG) to minimize non-specific adsorption.
- Implementation of a signal amplification strategy involving GO and RecJf exonuclease.
- Optimization of sensor parameters for enhanced thrombin detection.
Main Results:
- Achieved an ultra-low limit of detection (LOD) of 24.35 fM for thrombin.
- Demonstrated improved sensitivity and specificity compared to bare GO sensors.
- Validated the effectiveness of the GO-DNA sensor in analytical applications.
- Confirmed the role of PEG in reducing non-specific binding.
Conclusions:
- The developed GO-DNA sensor represents a promising advancement for sensitive thrombin detection.
- The combined use of aptamers, PEG, and enzyme-assisted amplification significantly enhances sensor performance.
- This method offers a robust platform for various analytical and diagnostic applications.

