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Cited by 894

The DOI matches its Crossref record; 150 of the 150 references it cites were found in a registry or an index.

Review on Metal–Organic Framework Classification, Synthetic Approaches, and Influencing Factors: Applications in Energy, Drug Delivery, and Wastewater Treatment

Open access
Yusuf, Vadia Foziya, Malek, Naved I., Kailasa, Suresh Kumar·2022·ACS Omega

Abstract

Metal ions or clusters that have been bonded with organic linkers to create one- or more-dimensional structures are referred to as metal-organic frameworks (MOFs). Reticular synthesis also forms MOFs with properly designated components that can result in crystals with high porosities and great chemical and thermal stability. Due to the wider surface area, huge pore size, crystalline nature, and tunability, numerous MOFs have been shown to be potential candidates in various fields like gas storage and delivery, energy storage, catalysis, and chemical/biosensing. This study provides a quick overview of the current MOF synthesis techniques in order to familiarize newcomers in the chemical sciences field with the fast-growing MOF research. Beginning with the classification and nomenclature of MOFs, synthesis approaches of MOFs have been demonstrated. We also emphasize the potential applications of MOFs in numerous fields such as gas storage, drug delivery, rechargeable batteries, supercapacitors, and separation membranes. Lastly, the future scope is discussed along with prospective opportunities for the synthesis and application of nano-MOFs, which will help promote their uses in multidisciplinary research.

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Crossref · 10.1021/acsomega.2c05310

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Metadata

Authors
Yusuf, V. F., Malek, N. I., & Kailasa, S. K.
Venue
ACS Omega
Published
2022-12-02
Volume
7
Issue
49
Pages
44507-44531
ISSN
2470-1343 (ISSN-L)
OpenAlex
W4311376748
Cited by
894
References
150
FWCI
44.97
Type
journal article
Language
en
Open access
gold

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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.