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Cited by 396

The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.

The Biocompatibility of Nanodiamonds and Their Application in Drug Delivery Systems

Open access
Zhu, Ying, Li, Jing, Li, Wenxin, Zhang, Yu, Yang, Xiafeng, Chen, Nan, Sun, Yanhong, Zhao, Yun, Fan, Chunhai, Huang, Qing·2012·Theranostics

Abstract

Nanodiamonds (NDs), as a new member of the carbon nanoparticles family, have attracted more and more attention in biomedicine recently due to their excellent physical and chemical properties. This paper summarizes the main results from the in vitro and in vivo safety assessments of NDs and reports the application of NDs in the development of drug delivery systems. In view of the NDs' characteristics of easy formation of a porous cluster structure in solution, an adsorption model for a variety of functional molecules on the ND clusters is proposed, which provides new ideas for developing a novel smart drug with various features such as sustained-release, targeting, and fluorescence imaging.

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Metadata

Authors
Zhu, Y., Li, J., Li, W., Zhang, Y., Yang, X., Chen, N., Sun, Y., Zhao, Y., Fan, C., & Huang, Q.
Venue
Theranostics
Published
2012
Volume
2
Issue
3
Pages
302-312
ISSN
1838-7640 (ISSN-L)
OpenAlex
W2157789015
Cited by
396
References
51
FWCI
11.44
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: The Biocompatibility of Nanodiamonds and Their Application in Drug Delivery Systems. https://app.cochat.ai/papers/10.7150/thno.3627
The paper
Zhu, Y., Li, J., Li, W., Zhang, Y., Yang, X., Chen, N., Sun, Y., Zhao, Y., Fan, C., & Huang, Q. (2012). The Biocompatibility of Nanodiamonds and Their Application in Drug Delivery Systems. Theranostics. https://doi.org/10.7150/thno.3627

Data sources

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.