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The DOI matches its Crossref record; 133 of the 133 references it cites were found in a registry or an index.

Application of zirconium MOFs in drug delivery and biomedicine

Open access
Abánades Lázaro, Isabel, Forgan, Ross S.·2019·Coordination Chemistry Reviews

Abstract

Abstract Nanoparticulate metal-organic frameworks (MOFs) have the requisite high storage capacities, tailorable structures, ease of functionalisation, and excellent biocompatibilities for application as nanoscale drug delivery devices (DDSs). Zirconium MOFs in particular combine optimal stability towards hydrolysis and postsynthetic modification with low toxicity, and so are particularly suited for biological applications. This review covers the use of Zr MOFs as DDSs with focus on the different physical properties that makes them attractive for use. The various methods for modifying the surfaces of Zr MOFs are described with pertinent examples of the resulting enhancements in aqueous stability, colloidal dispersion, and stimuli-responsive drug release. The in vitro and in vivo application of Zr MOFs for photodynamic therapy and drug delivery are discussed with respect to the structural features of the MOFs and their surface functionality, and perspectives on their future applications and analogous hafnium MOFs are given.

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Crossref · 10.1016/j.ccr.2018.09.009

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Metadata

Authors
Abánades Lázaro, I., & Forgan, R. S.
Venue
Coordination Chemistry Reviews
Publisher
Elsevier BV
Published
2019-02
Volume
380
Pages
230-259
ISSN
0010-8545 (ISSN-L)
OpenAlex
W2898522442
Cited by
678
References
133
FWCI
22.63
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Application of zirconium MOFs in drug delivery and biomedicine. https://app.cochat.ai/papers/10.1016/j.ccr.2018.09.009
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Abánades Lázaro, I., & Forgan, R. S. (2019). Application of zirconium MOFs in drug delivery and biomedicine. Coordination Chemistry Reviews. https://doi.org/10.1016/j.ccr.2018.09.009

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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.