In situ formation of metal-organic framework derived CuO polyhedrons on carbon cloth for highly sensitive non-enzymatic glucose sensing

Metal-organic frameworks (MOFs) are considered promising templates for the fabrication of nanostructured materials with high porosities and high surface areas, which are important parameters for enhanced performance in sensing applications. Here, a facile in situ synthetic strategy to construct MOF-...

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Bibliographic Details
Published in:Journal of materials chemistry. B, Materials for biology and medicine Materials for biology and medicine, 2019-08, Vol.7 (32), p.4990-4996
Main Authors: Cheng, Siyi, Gao, Xiang, DelaCruz, Steven, Chen, Chen, Tang, Zirong, Shi, Tielin, Carraro, Carlo, Maboudian, Roya
Format: Article
Language:English
Subjects:
Carbon
Carbon - chemistry
Chemoreception
Cloth
Copper
Copper - chemistry
Copper oxides
Detection
Fabrication
Glucose
Glucose - analysis
Limit of Detection
Metal-organic frameworks
Metal-Organic Frameworks - chemistry
Metals
Models, Molecular
Molecular Conformation
Nanorods
Nanostructured materials
Oxides
Performance enhancement
Polyhedra
Product development
Response time
Substrates
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Summary:Metal-organic frameworks (MOFs) are considered promising templates for the fabrication of nanostructured materials with high porosities and high surface areas, which are important parameters for enhanced performance in sensing applications. Here, a facile in situ synthetic strategy to construct MOF-derived porous CuO polyhedrons on carbon cloth (CC) is reported. Uniform Cu(OH)2 nanorods are first synthesized on carbon cloth, followed by the conversion of Cu(OH)2 nanorods into porous CuO polyhedrons via a copper-based MOF, Cu-BTC, as the intermediate species. When evaluated as a glucose sensing electrode, the as-fabricated CuO polyhedrons/CC composite exhibits a high sensitivity of 13 575 μA mM-1 cm-2 with a fast response time (t90) of 2.3 s and a low detection limit of 0.46 μM. This work exemplifies the rational fabrication of porous nanostructures on conductive substrates for enhanced performance in glucose detection.
ISSN:2050-750X
2050-7518
DOI:10.1039/c9tb01166h