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Enhancing Electrochemical Non-Enzymatic Dopamine Sensing Based on Bimetallic Nickel/Cobalt Phosphide Nanosheets.
Wang, Zhi-Yuan; Tsai, Zong-Ying; Chang, Han-Wei; Tsai, Yu-Chen.
Afiliação
  • Wang ZY; Department of Chemical Engineering, National Chung Hsing University, Taichung 402202, Taiwan.
  • Tsai ZY; Department of Chemical Engineering, National Chung Hsing University, Taichung 402202, Taiwan.
  • Chang HW; Department of Chemical Engineering, National United University, Miaoli 360302, Taiwan.
  • Tsai YC; Pesticide Analysis Center, National United University, Miaoli 360302, Taiwan.
Micromachines (Basel) ; 15(1)2024 Jan 06.
Article em En | MEDLINE | ID: mdl-38258224
ABSTRACT
In this study, the successful synthesis of bimetallic nickel/cobalt phosphide nanosheets (Ni-Co-P NSs) via the hydrothermal method and the subsequent high-temperature phosphorization process were both confirmed. Ni-Co-P NSs exhibited excellent electrocatalytic activity for the electrochemical non-enzymatic DA sensing. The surface morphologies and physicochemical properties of Ni-Co-P NSs were characterized by atomic force microscopy (AFM), field-emission scanning (FESEM), field-emission transmission electron microscopy (FETEM), and X-ray diffraction (XRD). Further, the electrochemical performance was evaluated by cyclic voltammetry (CV) and differential pulse voltammetry (DPV). The metallic nature of phosphide and the synergistic effect of Ni/Co atoms in Ni-Co-P NSs provided abundant catalytic active sites for the electrochemical redox reaction of DA, which exhibited a remarkable consequence with a wide linear range from 0.3~50 µM, a high sensitivity of 2.033 µA µM-1 cm-2, a low limit of detection of 0.016 µM, and anti-interference ability. As a result, the proposed Ni-Co-P NSs can be considered an ideal electrode material for the electrochemical non-enzymatic DA sensing.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article