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Cited by 707

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Continuous O2-Evolving MnFe2O4 Nanoparticle-Anchored Mesoporous Silica Nanoparticles for Efficient Photodynamic Therapy in Hypoxic Cancer

Kim, Jonghoon, Cho, Hye Rim, Jeon, Hyejin, Kim, Dokyoon, Song, Changyeong, Lee, Nohyun, Choi, Seung Hong, Hyeon, Taeghwan·2017·Journal of the American Chemical Society

Abstract

Therapeutic effects of photodynamic therapy (PDT) are limited by cancer hypoxia because the PDT process is dependent on O 2 concentration. Herein, we design biocompatible manganese ferrite nanoparticle-anchored mesoporous silica nanoparticles (MFMSNs) to overcome hypoxia, consequently enhancing the therapeutic efficiency of PDT. By exploiting the continuous O 2 -evolving property of MnFe 2 O 4 nanoparticles through the Fenton reaction, MFMSNs relieve hypoxic condition using a small amount of nanoparticles and improve therapeutic outcomes of PDT for tumors in vivo . In addition, MFMSNs exhibit T 2 contrast effect in magnetic resonance imaging (MRI), allowing in vivo tracking of MFMSNs. These findings demonstrate great potential of MFMSNs for theranostic agents in cancer therapy.

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Metadata

Authors
Kim, J., Cho, H. R., Jeon, H., Kim, D., Song, C., Lee, N., Choi, S. H., & Hyeon, T.
Venue
Journal of the American Chemical Society
Published
2017-08-03
Volume
139
Issue
32
Pages
10992-10995
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2737866071
Cited by
707
References
4
FWCI
36.20
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Continuous O2-Evolving MnFe2O4 Nanoparticle-Anchored Mesoporous Silica Nanoparticles for Efficient Photodynamic Therapy in Hypoxic Cancer. https://app.cochat.ai/papers/10.1021/jacs.7b05559
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Kim, J., Cho, H. R., Jeon, H., Kim, D., Song, C., Lee, N., Choi, S. H., & Hyeon, T. (2017). Continuous O2-Evolving MnFe2O4 Nanoparticle-Anchored Mesoporous Silica Nanoparticles for Efficient Photodynamic Therapy in Hypoxic Cancer. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.7b05559

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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.