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Recent Developments of Carbon Dots in Biosensing: A Review
Chunyu Ji1, Yiqun Zhou2, Roger M Leblanc2
1National Center for International Research on Photoelectric and Energy Materials, School of Materials and Energy, Yunnan University, Kunming, Yunnan 650091, People's Republic of China.
ACS Sensors
|August 20, 2020
Summary
Carbon dots (CDs) are crucial for developing advanced biosensors for early disease diagnosis. This review highlights recent progress, applications, and future trends in CD-based biosensing technologies.
Area of Science:
- Nanomaterials Science
- Biomedical Engineering
- Analytical Chemistry
Background:
- Early disease diagnosis is vital for effective treatment and cost reduction.
- Rapid, sensitive, and reliable biosensing techniques are essential for healthcare advancements.
- Carbon dots (CDs) have emerged as promising nanomaterials for enhancing biosensor performance.
Purpose of the Study:
- To review recent advancements in carbon dot (CD)-based biosensors.
- To classify biosensors based on sensing strategies and detail the role of CDs.
- To discuss typical CD-based biosensors, their applications, advantages, challenges, and future trends.
Main Methods:
- Classification of biosensors according to sensing strategies.
- Detailed elaboration on the role of carbon dots (CDs) in various biosensor designs.
- Discussion of specific CD-based biosensor types: CD-only, enzymatic, antigen-antibody, and nucleic acid biosensors.
Main Results:
- Carbon dots (CDs) significantly enhance the sensitivity and reliability of biosensing platforms.
- CD-based biosensors demonstrate diverse applications in detecting various biomarkers.
- The review provides a comprehensive overview of the current state-of-the-art in CD-based biosensor technology.
Conclusions:
- Carbon dot (CD)-based biosensors offer a promising avenue for early disease detection.
- Continued research into CD materials and sensor integration will drive future innovations.
- Addressing current challenges will unlock the full potential of CD-based biosensors in clinical diagnostics.
