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Cited by 180

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Glucose Detection Devices and Methods Based on Metal–Organic Frameworks and Related Materials

Open access
Adeel, Muhammad, Asif, Kanwal, Rahman, Md. Mahbubur, Daniele, Salvatore, Canzonieri, Vincenzo, Rizzolio, Flavio·2021·Advanced Functional Materials

Abstract

Assessment of glucose concentration is important in the diagnosis and treatment of diabetes. Since the introduction of enzymatic glucose biosensors, scientific and technological advances in nanomaterials have led to the development of new generations of glucose sensors. This field has witnessed major developments over the last decade, as the novel nanomaterials are capable of efficiently catalyzing glucose directly (i.e., act as artificial enzymes, therefore defined nanozymes) or to entrap enzymes that are able to oxidize glucose. Among other nanomaterials, metal–organic frameworks (MOFs) have recently provided a tremendous basis to construct glucose sensing devices. MOFs are large porous crystalline compounds with versatile structural and tuneable chemical properties. In addition, they possess catalytic, peroxidase‐like, and electrochemical redox activity. This review comprehensively summarizes the general characteristics of MOFs, their subtypes, and MOF composites, as well as MOF‐derived materials employed to construct electrochemical, optical, transistor, and microfluidic devices for the detection of glucose. They include enzymatic, nonenzymatic, wearable, and flexible sensing devices and methods. The review also outlines the design and synthesis of MOFs and the working principles of the different transduction‐based glucose sensors and highlights the current challenges and future perspectives.

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Metadata

Authors
Adeel, M., Asif, K., Rahman, M. M., Daniele, S., Canzonieri, V., & Rizzolio, F.
Venue
Advanced Functional Materials
Publisher
Wiley
Published
2021-09-23
Volume
31
Issue
52
ISSN
  • 1616-301X (ISSN-L)
  • 1616-3028
OpenAlex
W3202854099
Cited by
180
References
11
FWCI
8.50
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Glucose Detection Devices and Methods Based on Metal–Organic Frameworks and Related Materials. https://app.cochat.ai/papers/10.1002/adfm.202106023
The paper
Adeel, M., Asif, K., Rahman, M. M., Daniele, S., Canzonieri, V., & Rizzolio, F. (2021). Glucose Detection Devices and Methods Based on Metal–Organic Frameworks and Related Materials. Advanced Functional Materials. https://doi.org/10.1002/adfm.202106023

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