4.5 Article

Conductive 2D Metal-organic Framework (Co, NiCo, Ni) Nanosheets for Enhanced Non-enzymatic Detection of Urea

Journal

ELECTROANALYSIS
Volume 33, Issue 6, Pages 1484-1490

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/elan.202060586

Keywords

2D MOF; metal sites; nonenzymatic sensors; urea oxidation

Funding

  1. National Natural Science Foundation of China [51503079]
  2. Programs for Science and Technology of Zhejiang [LGF21E030003, 2017C31071, 2018C37075]

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The study prepared three conductive 2D MOF based on Ni, NiCo, and Co, and tested their performance in urea sensing. Compared to NiCo- and Co-MOF, Ni-MOF showed better linear range, sensitivity, and detection limit, along with good repeatability and reproducibility.
2D metal-organic framework (MOF) has potential applications in electrocatalysis owing to fast mass transfer, charge transfer and large specific surface area. Here, we had prepared three conductive 2D MOF based on Ni, NiCo and Co in a simple and rapid way. The 2D nanostructure of MOF was confirmed by SEM and TEM. The chemical composition was studied by XRD, Raman and XPS spectrum. The electrochemical oxidation and detection was investigated through cyclic voltammetry and current-time method. Their sensing performance for urea was determined by varying oxidation potentials and metal sites. The non-enzymatic Ni-, NiCo- and Co-MOF sensors had good catalytic activity for urea. Compared with NiCo- and Co-MOF, Ni-MOF had a wider linear range (0.5-832.5 mu M), high sensitivity (1960 mu A mM(-1) cm(-2)), low detection limit (0.471 mu M), and fast response time. The sensors had well repeatability, reproducibility, and selectivity to specific interfering species. Furthermore, Ni- and NiCo-MOF modified electrode was also applied to detection of milk samples. The results showed that the recovery was satisfactory, which further confirmed the effectiveness of non-enzyme sensor. In general, the highly-sensitive 2D Ni- and NiCo-MOF modified electrode has great potential as nonenzymatic urea sensors for real samples detection in hydrogen energy, clinical diagnostics, and environmental protection, et al.

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