The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Data-informed discovery of hydrolytic nanozymes
Open accessAbstract
Nanozyme is a collection of nanomaterials with enzyme-like activity but higher environmental tolerance and long-term stability than their natural counterparts. Improving the catalytic activity and expanding the category of nanozymes are prerequisites to complement or even supersede enzymes. However, the development of hydrolytic nanozymes is still challenged by diverse hydrolytic substrates and following complicated mechanisms. Here, two strategies are informed by data to screen and predict catalytic active sites of MOF (metal–organic framework) based hydrolytic nanozymes: (1) to increase the intrinsic activity by finely tuned Lewis acidity of the metal clusters; (2) to improve the density of active sites by shortening the length of ligands. Finally, as-obtained Ce-FMA-MOF-based hydrolytic nanozyme is capable of cleaving phosphate bonds, amide bonds, glycosidic bonds, and even their mixture, biofilms. This work provides a rational methodology to design hydrolytic nanozyme, enriches the diversity of nanozymes, and potentially sheds light on future evolution of enzyme engineering.
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
Reticular synthesis and the design of new materials
Yaghi, O. M., O'Keeffe, M., Ockwig, N. W., Chae, H. K., Eddaoudi, M., & Kim, J. (2003) · Nature · doi:10.1038/nature01650 · Cited by 9,101
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
Self-citationBiofilms: an emergent form of bacterial life
Flemming, H.-C., Wingender, J., Szewzyk, U., Steinberg, P., Rice, S. A., & Kjelleberg, S. (2016) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2016.94 · Cited by 5,979
Analysis of nanoparticle delivery to tumours
Wilhelm, S., Tavares, A. J., Dai, Q., Ohta, S., Audet, J., Dvorak, H. F., & Chan, W. C. W. (2016) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.14 · Cited by 5,218
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
Self-citationNanomaterials 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
Self-citationNanozymes: 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
Horike, S., Shimomura, S., & Kitagawa, S. (2009) · Nature Chemistry · doi:10.1038/nchem.444 · Cited by 2,486
Feng, D., Gu, Z., Li, J., Jiang, H., Wei, Z., & Zhou, H. (2012) · Angewandte Chemie International Edition · doi:10.1002/anie.201204475 · Cited by 1,978
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
Cited by
Nanozybiotics: advancing antimicrobial strategies through biomimetic mechanisms
Zhou, C., Wang, Q., Cao, H., Jiang, J., & Gao, L. (2024) · Advanced Materials · doi:10.1002/adma.202403362 · Cited by 114
Self-citation
Metadata
- Authors
- Li, S., Zhou, Z., Tie, Z., Wang, B., Ye, M., Du, L., Cui, R., Liu, W., Wan, C., Liu, Q., Zhao, S., Wang, Q., Zhang, Y., Zhang, S., Zhang, H., Du, Y., & Wei, H.
- Venue
- Nature Communications
- Published
- 2022-02-11
- Volume
- 13
- Issue
- 1
- Pages
- 827-827
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W4211061541
- Cited by
- 268
- References
- 47
- FWCI
- 14.54
- Type
- journal article
- Language
- en
- Open access
- gold
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: Data-informed discovery of hydrolytic nanozymes. https://app.cochat.ai/papers/10.1038/s41467-022-28344-2
- The paper
- Li, S., Zhou, Z., Tie, Z., Wang, B., Ye, M., Du, L., Cui, R., Liu, W., Wan, C., Liu, Q., Zhao, S., Wang, Q., Zhang, Y., Zhang, S., Zhang, H., Du, Y., & Wei, H. (2022). Data-informed discovery of hydrolytic nanozymes. Nature Communications. https://doi.org/10.1038/s41467-022-28344-2
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.
