The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Designed fabrication of biomimetic metal–organic frameworks for catalytic applications
Abstract
Abstract Enzymes are among the most sophisticated catalysts with unique features of high substrate affinity, unmatched catalytic efficiency and specificity. However, their practical applications are hindered by their high cost, the highly restricted catalytic conditions and their fragile nature. To solve these problems of enzymes for practical applications, biomimicry has therefore emerged as an effective approach to synthesize highly efficient biomimetic catalysts by imitating certain key features of enzymes. To tune the pore structures and modify the functional groups of metal–organic frameworks (MOFs), the porosity, functionality and hydrophobic/hydrophilic pore nature of the emerging porous materials are systematically tunable, which endow them to match certain enzymatic features, including structural features, active sites, microenvironments, assistant sites and/or catalytic properties of enzymes. Compared with their enzyme counterparts, biomimetic MOF catalysts present the advantages of broadened applicable conditions and enhanced stability, and sometimes they exhibit catalytic properties that are not possessed by the native enzymes. This review will selectively illustrate biomimetic MOF catalysts, consisting of immobilized biomimetic active sites on the pore surfaces or inside the pore space of porous MOFs. We will discuss the design principles and synthetic strategies for biomimetic MOF catalysts, and the relationships between their catalytic properties and structures. The key roles of active sites, microenvironment, transmission channels and co-catalytic sites, associated with the synergistic catalysis of biomimetic MOFs, will be addressed.
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
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
Dynamic personalities of proteins
Henzler-Wildman, K., & Kern, D. (2007) · Nature · doi:10.1038/nature06522 · Cited by 2,545
Structure and chemistry of cytochrome p450
Denisov, I. G., Makris, T. M., Sligar, S. G., & Schlichting, I. (2005) · Chemical Reviews · doi:10.1021/cr0307143 · Cited by 2,106
Photosynthetic energy conversion: natural and artificial
Barber, J. (2009) · Chem. Soc. Rev. · doi:10.1039/b802262n · Cited by 1,843
Heme Enzyme Structure and Function
Poulos, T. L. (2014) · Chemical Reviews · doi:10.1021/cr400415k · Cited by 1,443
Xu, H.-Q., Hu, J., Wang, D., Li, Z., Zhang, Q., Luo, Y., Yu, S.-H., & Jiang, H.-L. (2015) · Journal of the American Chemical Society · doi:10.1021/jacs.5b08773 · Cited by 1,166
Structure and mechanism of carbonic anhydrase
Lindskog, S. (1997) · Pharmacology & Therapeutics · doi:10.1016/s0163-7258(96)00198-2 · Cited by 1,022
Cited by
Bioinspired Framework Catalysts: From Enzyme Immobilization to Biomimetic Catalysis
Wang, K.-Y., Zhang, J., Hsu, Y.-C., Lin, H., Han, Z., Pang, J., Yang, Z., Liang, R.-R., Shi, W., & Zhou, H.-C. (2023) · Chemical Reviews · doi:10.1021/acs.chemrev.2c00879 · Cited by 490
Metal-organic frameworks as novel matrices for efficient enzyme immobilization: An update review
Liang, S., Wu, X.-L., Xiong, J., Zong, M.-H., & Lou, W.-Y. (2020) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2019.213149 · Cited by 441
Computational Approach to Molecular Catalysis by 3d Transition Metals: Challenges and Opportunities
Vogiatzis, K. D., Polynski, M. V., Kirkland, J. K., Townsend, J., Hashemi, A., Liu, C., & Pidko, E. A. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00361 · Cited by 423
Liu, W., Yin, R., Xu, X., Zhang, L., Shi, W., & Cao, X. (2019) · Advanced Science · doi:10.1002/advs.201802373 · Cited by 304
Metadata
- Authors
- Chen, K., & Wu, C.-D.
- Venue
- Coordination Chemistry Reviews
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 378
- Pages
- 445-465
- ISSN
- 0010-8545 (ISSN-L)
- OpenAlex
- W2791594724
- Cited by
- 172
- References
- 7
- FWCI
- 7.02
- 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: Designed fabrication of biomimetic metal–organic frameworks for catalytic applications. https://app.cochat.ai/papers/10.1016/j.ccr.2018.01.016
- The paper
- Chen, K., & Wu, C.-D. (2019). Designed fabrication of biomimetic metal–organic frameworks for catalytic applications. Coordination Chemistry Reviews. https://doi.org/10.1016/j.ccr.2018.01.016
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.