Hierarchical Structures Composed of Cu(OH)2 Nanograss within Directional Microporous Cu for Glucose Sensing
Source abstract
Abstract
Cu(OH)2 nanomaterials are widely investigated for non-enzymatic glucose sensors due to their low-cost and excellent performance. Cu(OH)2 nanomaterials usually grow on substrates to form sensor electrodes. Reported works mainly focus on structure adjusting of the Cu(OH)2 nanostructures, while the optimization of substrates is still lacking. In the present work, directional porous Cu (DPC) was applied as the substrate for the growth of Cu(OH)2 nanograss (NG), and hierarchical structures of Cu(OH)2@DPC were prepared by alkaline oxidation. The morphology and microstructure evolution of the prepared hierarchical structures was investigated, and the non-enzymatic glucose sensing performance was evaluated. Cu(OH)2@DPC exhibits enhanced comprehensive non-enzymatic glucose sensing performance compared to the reported ones, which may benefit from both the effective adsorption of the Cu(OH)2 NG with a relatively high surface area and the high solute exchange of the DPC by a channel effect. This work provides new insights into the further improvement of the non-enzymatic glucose sensing performance of Cu(OH)2 nanostructures by optimizing the substrate structure.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Electrochemical sensors and biosensors · Electrochemical Analysis and Applications · Advanced Nanomaterials in Catalysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Materials, China Academy of Engineering Physics, Mianyang621908, China
School of Materials Science and Engineering, Xihua University, Chengdu610039, China
West China Hospital of Stomatology, Sichuan University, Chengdu610065, China
Funding
National Natural Science Foundation of China · Science and Technology on Surface Physics and Chemistry Laboratory, China Academy of Engineering Physics
References (38)
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