The DOI matches its Crossref record; 180 of the 180 references it cites were found in a registry or an index.
Quantum dots in biomedical applications
Open accessAbstract
Semiconducting nanoparticles, more commonly known as quantum dots, possess unique size and shape dependent optoelectronic properties. In recent years, these unique properties have attracted much attention in the biomedical field to enable real-time tissue imaging (bioimaging), diagnostics, single molecule probes, and drug delivery, among many other areas. The optical properties of quantum dots can be tuned by size and composition, and their high brightness, resistance to photobleaching, multiplexing capacity, and high surface-to-volume ratio make them excellent candidates for intracellular tracking, diagnostics, in vivo imaging, and therapeutic delivery. We discuss recent advances and challenges in the molecular design of quantum dots are discussed, along with applications of quantum dots as drug delivery vehicles, theranostic agents, single molecule probes, and real-time in vivo deep tissue imaging agents. We present a detailed discussion of the biodistribution and toxicity of quantum dots, and highlight recent advances to improve long-term stability in biological buffers, increase quantum yield following bioconjugation, and improve clearance from the body. Last, we present an outlook on future challenges and strategies to further advance translation to clinical application.
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Cites
2 retracted
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Cited by
Engineering precision nanoparticles for drug delivery
Mitchell, M. J., Billingsley, M. M., Haley, R. M., Wechsler, M. E., Peppas, N. A., & Langer, R. (2021) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-0090-8 · Cited by 7,933
Self-citationNanotechnology-Based Strategies to Overcome Current Barriers in Gene Delivery
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NIR-II Fluorescence Imaging Reveals Bone Marrow Retention of Small Polymer Nanoparticles
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Metadata
- Authors
- Wagner, A. M., Knipe, J. M., Orive, G., & Peppas, N. A.
- Venue
- Acta Biomaterialia
- Publisher
- Elsevier BV
- Published
- 2019-08
- Volume
- 94
- Pages
- 44-63
- ISSN
- 1742-7061 (ISSN-L)
- OpenAlex
- W2937395475
- Cited by
- 632
- References
- 180
- FWCI
- 19.45
- 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).
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