4.6 Article

Electrochemical sensing platform for hydrogen peroxide using amorphous FeNiPt nanostructures

期刊

ANALYTICAL METHODS
卷 2, 期 2, 页码 143-148

出版社

ROYAL SOC CHEMISTRY
DOI: 10.1039/b9ay00209j

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资金

  1. National Natural Science Foundation of China [20975057, 20771085]
  2. Program for New Century Excellent Talents in University [NCET-06-0380]
  3. State Education Ministry, China
  4. Nanometer Science Foundation of Shanghai [0952nm04900]

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Amorphous ternary FeNiPt nanomaterials with tunable length are reported for constructing the electrochemical sensing platform, in which hydrogen peroxide (H2O2) is selected as a model target. It is found that amorphous FeNiPt nanostructures, in particular, the FeNiPt nanorods with large axial-ratio (FeNiPt-NRL) exhibit the enhanced electrocatalytic activity towards both the oxidation and reduction of H2O2. Meanwhile, the comparable corrosion potential E-corr and lower corrosion current I-corr are observed at GC electrodes modified with FeNiPt-NRL, revealing the good stability of the FeNiPt-NRL surface. On the basis of these results. H2O2 is cathodically determined at glassy carbon (GC) electrodes with FeNiPt-NRL with relatively high selectivity at the appropriate potential of 0 V vs. Ag vertical bar AgCl. On the other hand, the sensitivity of the anodic H2O2 detection at the same electrode is achieved to be 2.45 mA cm(-2) mM(-1), which is 4-fold larger than that of the cathodic detection and those Pt nanoparticles-based H2O2 determination, and the detection limit is also developed to 40 nM. The dynamic linear range is broadened from 100 nM to 30 mM, which is wider than those H2O2 detection based on Pt nanoparticles and binary Pt alloys. In addition, electrochemical results show the high stability and good reproducibility for the present H2O2 sensor. The striking analytical performance combined with the intrinsic properties of amorphous FeNiPt nanomaterials provides a promising technique for the development of non-enzyme H2O2 and other molecule sensors with high sensitivity, broad dynamic linear range, long stability, and good reproducibility.

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