The DOI matches its Crossref record; 197 of the 197 references it cites were found in a registry or an index.
Review of Carbon and Graphene Quantum Dots for Sensing
Open accessAbstract
Carbon and graphene quantum dots (CQDs and GQDs), known as zero-dimensional (0D) nanomaterials, have been attracting increasing attention in sensing and bioimaging. Their unique electronic, fluorescent, photoluminescent, chemiluminescent, and electrochemiluminescent properties are what gives them potential in sensing. In this Review, we summarize the basic knowledge on CQDs and GQDs before focusing on their application to sensing thus far followed by a discussion of future directions for research into CQDs- and GQD-based nanomaterials in sensing. With regard to the latter, the authors suggest that with the potential of these nanomaterials in sensing more research is needed on understanding their optical properties and why the synthetic methods influence their properties so much, into methods of surface functionalization that provide greater selectivity in sensing and into new sensing concepts that utilize the virtues of these nanomaterials to give us new or better sensors that could not be achieved in other ways.
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Cites
Signaling Recognition Events with Fluorescent Sensors and Switches
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Quantum-Sized Carbon Dots for Bright and Colorful Photoluminescence
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Carbon quantum dots and their applications
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Luminescent Carbon Nanodots: Emergent Nanolights
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Water‐Soluble Fluorescent Carbon Quantum Dots and Photocatalyst Design
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Self-citationCarbon quantum dots: synthesis, properties and applications
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Chaotic Dirac Billiard in Graphene Quantum Dots
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Metadata
- Authors
- Li, M., Chen, T., Gooding, J. J., & Liu, J.
- Venue
- ACS Sensors
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-07-03
- Volume
- 4
- Issue
- 7
- Pages
- 1732-1748
- ISSN
- 2379-3694 (ISSN-L)
- OpenAlex
- W2954667328
- Cited by
- 991
- References
- 197
- FWCI
- 40.38
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
