A Non-enzymatic Hydrogen Peroxide Sensor with Enhanced Sensitivity Based on Pt Nanoparticles

Autor: Qinglin Sheng, Azka Awais, Muhammad Arsalan, Tianli Yue
Rok vydání: 2021
Předmět:
Zdroj: Analytical Sciences. 37:1419-1426
ISSN: 1348-2246
0910-6340
Popis: The non-enzymatic electrochemical sensing platform for hydrogen peroxide by using Pt-based nanoparticle was investigated. The characterization of PtNiCo-NPs was done by XRD, TEM, HRTEM, EDS, and XPS. A simple drop-casting technique was used to fabricate the nanomaterial on FTO electrode. The amperometric and cyclic voltammetric results illustrated that PtNiCo-NPs on FTO had excellent electrochemical performance over other mono or bimetallic materials. The catalytic performance for H2O2 sensing based on PtNiCo-NPs possessed a wide linear range from 5 μM to 16.5 mM with a low detection limit of 0.37 μM and a good sensitivity of 1374.4 μA mM-1 cm-2 at a scan rate of 20 mV s-1 (vs. Ag/AgCl). This work presents a new way to produce a ternary nanomaterial for H2O2 sensing with excellent electrochemical performance. In addition, the fabricated nanomaterial showed no interferences for common interfering agents, which indicates the high specificity of the sensor. The PtNiCo-NPs have excellent stability and good reproducibility in real samples.
Databáze: OpenAIRE
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