The DOI matches its Crossref record; 125 of the 125 references it cites were found in a registry or an index.
Advances in oxidase-mimicking nanozymes: Classification, activity regulation and biomedical applications
Abstract
Abstract While oxidases play crucial roles in the cell metabolism by efficient and selective utilization of O2, the practical applications of natural oxidases are limited due to their intrinsic shortcomings (high cost in purification and poor stability). Recently, great varieties of engineered nanostructures have been demonstrated to display oxidase-mimetic activity, which can serve as ideal candidates for oxidase-mimicking nanozymes. In view of the significant progress of nanozymes, we, in this review, systematically illustrate the classification of oxidase-mimicking nanozymes in terms of the acting group of representative substrates and discuss their possible catalytic mechanisms. We also summary the activity modulation of oxidase-mimicking nanozymes by tuning the physicochemical property of nanomaterials and surrounding environments, as well as their potential biomedical applications in biosensing, antibacteria and cancer treatment. Finally, the current opportunities and challenges are discussed to stimulate the research of understanding and development of nanozymes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Siegel, R. L., Miller, K. D., & Jemal, A. (2019) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21551 · Cited by 20,160
Intrinsic peroxidase-like activity of ferromagnetic nanoparticles
Gao, L., Zhuang, J., Nie, L., Zhang, J., Zhang, Y., Gu, N., Wang, T., Feng, J., Yang, D., Perrett, S., et al. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.260 · Cited by 7,483
Nanomaterials with enzyme-like characteristics (nanozymes): next-generation artificial enzymes (II)
Wu, J., Wang, X., Wang, Q., Lou, Z., Li, S., Zhu, Y., Qin, L., & Wei, H. (2019) · Chemical Society Reviews · doi:10.1039/c8cs00457a · Cited by 4,108
Nanomaterials with enzyme-like characteristics (nanozymes): next-generation artificial enzymes
Wei, H., & Wang, E. (2013) · Chemical Society Reviews · doi:10.1039/c3cs35486e · Cited by 3,779
Nanozymes: Classification, Catalytic Mechanisms, Activity Regulation, and Applications
Huang, Y., Ren, J., & Qu, X. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00672 · Cited by 3,523
Nanozyme: new horizons for responsive biomedical applications
Jiang, D., Ni, D., Rosenkrans, Z. T., Huang, P., Yan, X., & Cai, W. (2019) · Chemical Society Reviews · doi:10.1039/c8cs00718g · Cited by 1,793
Nanozymes: From New Concepts, Mechanisms, and Standards to Applications
Liang, M., & Yan, X. (2019) · Accounts of Chemical Research · doi:10.1021/acs.accounts.9b00140 · Cited by 1,691
Enzyme Immunoassay (EIA)/Enzyme-Linked Immunosorbent Assay (ELISA)
Lequin, R. M. (2005) · Clinical Chemistry · doi:10.1373/clinchem.2005.051532 · Cited by 1,548
Bankar, S. B., Bule, M. V., Singhal, R. S., & Ananthanarayan, L. (2009) · Biotechnology Advances · doi:10.1016/j.biotechadv.2009.04.003 · Cited by 1,253
Polyphenol oxidases in plants and fungi: Going places? A review
Mayer, A. M. (2006) · Phytochemistry · doi:10.1016/j.phytochem.2006.08.006 · Cited by 1,174
Cited by
A Review on Metal- and Metal Oxide-Based Nanozymes: Properties, Mechanisms, and Applications
Liu, Q., Zhang, A., Wang, R., Zhang, Q., & Cui, D. (2021) · Nano-Micro Letters · doi:10.1007/s40820-021-00674-8 · Cited by 745
Self-citationFlexible Plasmonic Biosensors for Healthcare Monitoring: Progress and Prospects
Song, L., Chen, J., Xu, B. B., & Huang, Y. (2021) · ACS Nano · doi:10.1021/acsnano.1c07176 · Cited by 186
Metadata
- Authors
- Chong, Y., Liu, Q., & Ge, C.
- Venue
- Nano Today
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 37
- Pages
- 101076
- ISSN
- 1748-0132 (ISSN-L)
- OpenAlex
- W3120198667
- Cited by
- 339
- References
- 125
- FWCI
- 15.55
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Advances in oxidase-mimicking nanozymes: Classification, activity regulation and biomedical applications. https://app.cochat.ai/papers/10.1016/j.nantod.2021.101076
- The paper
- Chong, Y., Liu, Q., & Ge, C. (2021). Advances in oxidase-mimicking nanozymes: Classification, activity regulation and biomedical applications. Nano Today. https://doi.org/10.1016/j.nantod.2021.101076
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.
