The DOI matches its Crossref record; 377 of the 377 references it cites were found in a registry or an index.
Metal–Organic Frameworks for Food Safety
Abstract
Food safety is a prevalent concern around the world. As such, detection, removal, and control of risks and hazardous substances present from harvest to consumption will always be necessary. Metal-organic frameworks (MOFs), a class of functional materials, possess unique physical and chemical properties, demonstrating promise in food safety applications. In this review, the synthesis and porosity of MOFs are first introduced by some representative examples that pertain to the field of food safety. Following that, the application of MOFs and MOF-based materials in food safety monitoring, food processing, covering preservation, sanitation, and packaging is overviewed. Future perspectives, as well as potential opportunities and challenges faced by MOFs in this field will also be discussed. This review aims to promote the development and progress of MOF chemistry and application research in the field of food safety, potentially leading to novel solutions.
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Cites
The Chemistry and Applications of Metal-Organic Frameworks
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Self-citationA Chemically Functionalizable Nanoporous Material [Cu 3 (TMA) 2 (H 2 O) 3 ] n
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Luminescent Functional Metal–Organic Frameworks
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Metadata
- Authors
- Wang, P.-L., Xie, L.-H., Joseph, E. A., Li, J.-R., Su, X.-O., & Zhou, H.-C.
- Venue
- Chemical Reviews
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-07-30
- Volume
- 119
- Issue
- 18
- Pages
- 10638-10690
- ISSN
- 0009-2665 (ISSN-L)
- 1520-6890
- OpenAlex
- W2964936343
- Cited by
- 533
- References
- 377
- FWCI
- 2.29
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wang, P.-L., Xie, L.-H., Joseph, E. A., Li, J.-R., Su, X.-O., & Zhou, H.-C. (2019). Metal–Organic Frameworks for Food Safety. Chemical Reviews. https://doi.org/10.1021/acs.chemrev.9b00257
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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.
