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Published on: February 1, 2022
A Graphene-Based Biosensing Platform Based on Regulated Release of an Aptameric DNA Biosensor
Yu Mao1,2, Yongli Chen3,4, Song Li5
1Laboratory of Chemical Genomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen 518055, China. maoyu_gt@126.com.
A new biosensor combines DNA and graphene oxide for sensitive adenosine triphosphate (ATP) detection. This platform offers enhanced sensitivity and selectivity for biomedical applications.
Area of Science:
- Biotechnology
- Nanomaterials Science
- Molecular Biology
Background:
- Graphene oxide (GO) is a versatile nanomaterial with unique electronic and surface properties.
- Aptamer-based biosensors offer high specificity for target molecule detection.
- Adenosine triphosphate (ATP) is a crucial biomarker in various biological processes.
Purpose of the Study:
- To develop a novel biosensing platform integrating a DNA aptasensor with graphene oxide for ATP detection.
- To achieve rapid, facile, and highly sensitive detection of ATP.
- To explore the potential of GO-DNA nanobiointerfaces in biological sensing and diagnostics.
Main Methods:
- Integration of a GO-locked DNA aptasensor with specific ATP recognition sites and a self-replication track.
- Utilizing differential binding affinities of DNA structures to GO for target-induced release.
- Employing a complementary DNA strand (CPDNA) to facilitate aptasensor release.
- Leveraging polymerization/nicking enzyme synergistic isothermal amplification for signal enhancement.
Main Results:
- The developed biosensor demonstrated rapid and facile detection of ATP.
- Achieved enhanced sensitivity with a wide linear dynamic response range (four orders of magnitude).
- Exhibited good selectivity for ATP detection.
- Successfully demonstrated the GO-DNA nanobiointerface for biological sensing.
Conclusions:
- The novel biosensing platform provides a sensitive and selective method for ATP detection.
- This strategy expands the application of GO-DNA nanobiointerfaces in biological sensing.
- The platform shows significant potential for fundamental research and biomedical diagnosis.
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