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Cited by 575

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Progress in enzyme immobilization in ordered mesoporous materials and related applications

Zhou, Zhou, Hartmann, Martin·2013·Chemical Society Reviews

Abstract

A short time after the discovery of ordered mesoporous materials, which possess unique features such as high specific surface area and pore volume, highly uniform pore distribution and tunable pore size, these materials have been prospected as promising carriers for enzyme immobilization. The immobilization of enzymes in ordered mesoporous materials has been studied for almost two decades. With the development of tailored ordered mesoporous materials and advances in enzyme technology, this field attracted increasing interest due to its quickly expanded functions and applications. This review focuses on the relation between the progress in ordered mesoporous materials and its corresponding contribution to enzyme immobilization as well as the applications of these materials in biocatalysis. The potential trends in the future development of this field are also pointed out.

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Metadata

Authors
Zhou, Z., & Hartmann, M.
Venue
Chemical Society Reviews
Published
2013
Volume
42
Issue
9
Pages
3894
ISSN
  • 0306-0012 (ISSN-L)
  • 1460-4744
OpenAlex
W2127355586
Cited by
575
References
2
FWCI
3.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Progress in enzyme immobilization in ordered mesoporous materials and related applications. https://app.cochat.ai/papers/10.1039/c3cs60059a
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Zhou, Z., & Hartmann, M. (2013). Progress in enzyme immobilization in ordered mesoporous materials and related applications. Chemical Society Reviews. https://doi.org/10.1039/c3cs60059a

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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.