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Molecular diagnostic and drug delivery agents based on aptamer-nanomaterial conjugates
Open accessAbstract
Recent progress in an emerging area of designing aptamer and nanomaterial conjugates as molecular diagnostic and drug delivery agents in biomedical applications is summarized. Aptamers specific for a wide range of targets are first introduced and compared to antibodies. Methods of integrating these aptamers with a variety of nanomaterials, such as gold nanoparticles, quantum dots, carbon nanotubes, and superparamagnetic iron oxide nanoparticles, each with unique optical, magnetic, and electrochemical properties, are reviewed. Applications of these systems as fluorescent, colorimetric, magnetic resonance imaging, and electrochemical sensors in medical diagnostics are given, along with new applications as smart drug delivery agents.
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Cites
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“Moreover, aptamers can be incorporated into one, two or three dimensional DNA-based nanostructures [70–75] which also have strong potential to be used for clinical and diagnostic applications [76–78].”
BackgroundNoncovalent sidewall functionalization of single-walled carbon nanotubes for protein immobilization
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Cited by
A DNAzyme-Gold Nanoparticle Probe for Uranyl Ion in Living Cells
Wu, P., Hwang, K., Lan, T., & Lu, Y. (2013) · Journal of the American Chemical Society · doi:10.1021/ja400150v · Cited by 428
Self-citationSmart Nanomaterials in Cancer Theranostics: Challenges and Opportunities
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Engineered nanoparticles for biomolecular imaging
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A review of aptamer-based SERS biosensors: Design strategies and applications
Muhammad, M., & Huang, Q. (2021) · Talanta · doi:10.1016/j.talanta.2021.122188 · Cited by 179
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Metadata
- Authors
- Lee, J. H., Yigit, M. V., Mazumdar, D., & Lu, Y.
- Venue
- Advanced Drug Delivery Reviews
- Publisher
- Elsevier BV
- Published
- 2010-04
- Volume
- 62
- Issue
- 6
- Pages
- 592-605
- ISSN
- 0169-409X (ISSN-L)
- OpenAlex
- W2029608148
- Cited by
- 293
- References
- 6
- FWCI
- 1.58
- 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.