Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 298

The DOI matches its Crossref record; 174 of the 174 references it cites were found in a registry or an index.

Metal–Organic‐Framework‐Engineered Enzyme‐Mimetic Catalysts

Ma, Lang, Jiang, Fuben, Fan, Xin, Wang, Liyun, He, Chao, Zhou, Mi, Li, Shuang, Luo, Hongrong, Cheng, Chong, Qiu, Li·2020·Advanced Materials

Abstract

Nanomaterial‐based enzyme‐mimetic catalysts (Enz‐Cats) have received considerable attention because of their optimized and enhanced catalytic performances and selectivities in diverse physiological environments compared with natural enzymes. Recently, owing to their molecular/atomic‐level catalytic centers, high porosity, large surface area, high loading capacity, and homogeneous structure, metal–organic frameworks (MOFs) have emerged as one of the most promising materials in engineering Enz‐Cats. Here, the recent advances in the design of MOF‐engineered Enz‐Cats, including their preparation methods, composite constructions, structural characterizations, and biomedical applications, are highlighted and commented upon. In particular, the performance, selectivities, essential mechanisms, and potential structure–property relations of these MOF‐engineered Enz‐Cats in accelerating catalytic reactions are discussed. Some potential biomedical applications of these MOF‐engineered Enz‐Cats are also breifly proposed. These applications include, for example, tumor therapies, bacterial disinfection, tissue regeneration, and biosensors. Finally, the future opportunities and challenges in emerging research frontiers are thoroughly discussed. Thereby, potential pathways and perspectives for designing future state‐of‐the‐art Enz‐Cats in biomedical sciences are offered.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/adma.202003065

Cites

174 of 174 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

1 retracted

Show all 174 references

Cited by

See all 298

Metadata

Authors
Ma, L., Jiang, F., Fan, X., Wang, L., He, C., Zhou, M., Li, S., Luo, H., Cheng, C., & Qiu, L.
Venue
Advanced Materials
Publisher
Wiley
Published
2020-10-30
Volume
32
Issue
49
Pages
e2003065-e2003065
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W3095520916
Cited by
298
References
174
FWCI
23.57
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: Metal–Organic‐Framework‐Engineered Enzyme‐Mimetic Catalysts. https://app.cochat.ai/papers/10.1002/adma.202003065
The paper
Ma, L., Jiang, F., Fan, X., Wang, L., He, C., Zhou, M., Li, S., Luo, H., Cheng, C., & Qiu, L. (2020). Metal–Organic‐Framework‐Engineered Enzyme‐Mimetic Catalysts. Advanced Materials. https://doi.org/10.1002/adma.202003065

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.