The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Polyphenol-Based Particles for Theranostics
Open accessAbstract
Polyphenols, due to their high biocompatibility and wide occurrence in nature, have attracted increasing attention in the engineering of functional materials ranging from films, particles, to bulk hydrogels. Colloidal particles, such as nanogels, hollow capsules, mesoporous particles and core-shell structures, have been fabricated from polyphenols or their derivatives with a series of polymeric or biomolecular compounds through various covalent and non-covalent interactions. These particles can be designed with specific properties or functionalities, including multi-responsiveness, radical scavenging capabilities, and targeting abilities. Moreover, a range of cargos (e.g., imaging agents, anticancer drugs, therapeutic peptides or proteins, and nucleic acid fragments) can be incorporated into these particles. These cargo-loaded carriers have shown their advantages in the diagnosis and treatment of diseases, especially of cancer. In this review, we summarize the assembly of polyphenol-based particles, including polydopamine (PDA) particles, metal-phenolic network (MPN)-based particles, and polymer-phenol particles, and their potential biomedical applications in various diagnostic and therapeutic applications.
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Cites
Mussel-inspired surface chemistry for multifunctional coatings
Lee, H., Dellatore, S. M., Miller, W. M., & Messersmith, P. B. (2007) · Science · doi:10.1126/science.1147241 · Cited by 10,965
Iron-Clad Fibers: A Metal-Based Biological Strategy for Hard Flexible Coatings
Harrington, M. J., Masic, A., Holten-Andersen, N., Waite, J. H., & Fratzl, P. (2010) · Science · doi:10.1126/science.1181044 · Cited by 1,000
Polydopamine—a nature-inspired polymer coating for biomedical science
Lynge, M. E., van der Westen, R., Postma, A., & Städler, B. (2011) · Nanoscale · doi:10.1039/c1nr10969c · Cited by 907
Strong reversible Fe 3+ -mediated bridging between dopa-containing protein films in water
Zeng, H., Hwang, D. S., Israelachvili, J. N., & Waite, J. H. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1007416107 · Cited by 517
Perspectives on poly(dopamine)
Dreyer, D. R., Miller, D. J., Freeman, B. D., Paul, D. R., & Bielawski, C. W. (2013) · Chemical Science · doi:10.1039/c3sc51501j · Cited by 378
Targeted Nanotheranostics for Future Personalized Medicine: Recent Progress in Cancer Therapy
Jo, S. D., Ku, S. H., Won, Y.-Y., Kim, S. H., & Kwon, I. C. (2016) · Theranostics · doi:10.7150/thno.15335 · Cited by 218 · cited 1×
“Effective surface modification can provide the PDA particles with capability to reduce the non-specific interactions [34, 38, 44, 72, 77, 88].”
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Cited by
Polyphenol‐Containing Nanoparticles: Synthesis, Properties, and Therapeutic Delivery
Guo, Y., Sun, Q., Wu, F., Dai, Y., & Chen, X. (2021) · Advanced Materials · doi:10.1002/adma.202007356 · Cited by 650
Metal Ion-Directed Functional Metal–Phenolic Materials
Geng, H., Zhong, Q.-Z., Li, J., Lin, Z., Cui, J., Caruso, F., & Hao, J. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c01042 · Cited by 531
Self-citationPolyphenol scaffolds in tissue engineering
Zhang, X., Li, Z., Yang, P., Duan, G., Liu, X., Gu, Z., & Li, Y. (2021) · Materials Horizons · doi:10.1039/d0mh01317j · Cited by 417
Tannic acid-based metal phenolic networks for bio-applications: a review
Guo, Z., Xie, W., Lu, J., Guo, X., Xu, J., Xu, W., Chi, Y., Takuya, N., Wu, H., & Zhao, L. (2021) · Journal of Materials Chemistry B · doi:10.1039/d1tb00383f · Cited by 375
Phenolic-enabled nanotechnology: versatile particle engineering for biomedicine
Wu, D., Zhou, J., Creyer, M. N., Yim, W., Chen, Z., Messersmith, P. B., & Jokerst, J. V. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00908c · Cited by 317
Metadata
- Authors
- Dai, Q., Geng, H., Yu, Q., Hao, J., & Cui, J.
- Venue
- Theranostics
- Publisher
- Ivyspring International Publisher
- Published
- 2019
- Volume
- 9
- Issue
- 11
- Pages
- 3170-3190
- ISSN
- 1838-7640 (ISSN-L)
- OpenAlex
- W2947653511
- Cited by
- 179
- References
- 6
- FWCI
- 6.26
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
