The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Catalytic chemistry of glucose oxidase in cancer diagnosis and treatment
Abstract
This tutorial review focuses on the state-of-the-art progress in GOx-based cancer diagnosis and treatment, including the general principles for the design and construction of GOx-based biosensors and cancer therapeutic approaches, and their biological applications in detail. Moreover, the current trends and key problems, as well as the challenges and future prospects of GOx-based catalytic systems in biomedicine are also discussed in the end.
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Citations
Cites
Electrochemical Glucose Biosensors
Wang, J. (2008) · Chemical Reviews · doi:10.1021/cr068123a · Cited by 3,498
Cited by
Fu, L., Wan, Y., Qi, C., He, J., Li, C., Yang, C., Xu, H., Lin, J., & Huang, P. (2021) · Advanced Materials · doi:10.1002/adma.202006892 · Cited by 820
Self-citationYang, B., Chen, Y., & Shi, J. (2019) · Advanced Materials · doi:10.1002/adma.201901778 · Cited by 601
Glucose Oxidase‐Instructed Multimodal Synergistic Cancer Therapy
Fu, L., Qi, C., Hu, Y., Lin, J., & Huang, P. (2019) · Advanced Materials · doi:10.1002/adma.201808325 · Cited by 600
Self-citationCo–Ferrocene MOF/Glucose Oxidase as Cascade Nanozyme for Effective Tumor Therapy
Fang, C., Deng, Z., Cao, G., Chu, Q., Wu, Y., Li, X., Peng, X., & Han, G. (2020) · Advanced Functional Materials · doi:10.1002/adfm.201910085 · Cited by 423
Recent advances of cancer chemodynamic therapy based on Fenton/Fenton-like chemistry
Cao, C., Wang, X., Yang, N., Song, X., & Dong, X. (2022) · Chemical Science · doi:10.1039/d1sc05482a · Cited by 298
Metadata
- Authors
- Fu, L.-H., Qi, C., Lin, J., & Huang, P.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2018
- Volume
- 47
- Issue
- 17
- Pages
- 6454-6472
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2884605745
- Cited by
- 783
- References
- 1
- FWCI
- 5.67
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
