Hierarchical Cu@CuxO nanowires arrays-coated gold nanodots as a highly sensitive self-supported electrocatalyst for L-cysteine oxidation

The sensitivity, selectivity, and stability of an electrochemical sensor for detecting small biomolecules can be significantly upgraded through properly controlling the morphology and chemical structure of electrocatalyst. Herein, we fabricated a unique hierarchical nanostructure based on Cu@CuxO na...

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Bibliographic Details
Published in:Biosensors & bioelectronics 2019-08, Vol.139, p.111327-111327, Article 111327
Main Authors: Le, Huu Tuan, Tran, Duy Thanh, Luyen Doan, Thi Luu, Kim, Nam Hoon, Lee, Joong Hee
Format: Article
Language:English
Subjects:
Copper-copper oxide nanowires
Electrocatalyst
Electrochemical biosensor
Gold nanoparticle layer
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Summary:The sensitivity, selectivity, and stability of an electrochemical sensor for detecting small biomolecules can be significantly upgraded through properly controlling the morphology and chemical structure of electrocatalyst. Herein, we fabricated a unique hierarchical nanostructure based on Cu@CuxO nanowires (NWs) array uniformly depositing with a layer of gold nanoparticles (2–3 nm) through a simple electroless deposition process. The Au–Cu@CuxO NWs hybrid was successfully applied as a novel binder-free self-supported biosensor towards L-cysteine detection with low limit of detection (1.25 μM), wide linear detection range (1.25 μM–1.94 mM), long-term stability (four weeks), and excellent selectivity. In addition, the hybrid-based sensor accurately detected L-cysteine in real samples. It was found that the obtained nanostructure with the formation of strong interaction between Au and Cu phase produces synergistic effects, which improve exposed electroactive site number, accelerate charge transfer rate, and increase surface area, thereby boosting the sensing performance. The results open a potential way to develop electrochemical sensor for efficiently detecting not only L-cysteine but also other small molecules with high sensitivity, accuracy, stability, and cost-effectiveness in health care and disease diagnosis. [Display omitted]
ISSN:0956-5663
1873-4235
DOI:10.1016/j.bios.2019.111327