• 文献标题:   Enhanced electrocatalytic activity of graphene-gold nanoparticles hybrids for peroxynitrite electrochemical detection on hemin-based electrode
  • 文献类型:   Article
  • 作  者:   WANG BB, JI XP, REN JJ, NI RX, WANG L
  • 作者关键词:   peroxynitrite anion, electrochemical reduced graphene oxide, au nanoparticle, nanohybrid, hemin, sensor
  • 出版物名称:   BIOELECTROCHEMISTRY
  • ISSN:   1567-5394 EI 1878-562X
  • 通讯作者地址:   Hebei Med Univ
  • 被引频次:   7
  • DOI:   10.1016/j.bioelechem.2017.07.005
  • 出版年:   2017

▎ 摘  要

A simple, ultrasensitive peroxynitrite anion (ONOO-) electrochemical sensing platform was developed by immobilizing hemin on a density controllable electrochemically reduced graphene oxide-Au nanoparticles (ERGO-AuNPs) nanohybrids. The ERGO-AuNPs in situ nanohybrids were produced onto a glass carbon electrode (GCE) by one-step electrodeposition, the density of which could be easily controlled by electrodeposited time. The morphology of ERGO-AuNPs nanohybrids was characterized by a scanning electron microscope (SEM). The ERGO-AuNPs nanohybrids showed a high electrocatalytic activity for immobilized-hemin, because the nano structures hybrids could effectively promote electron transfer rate between hemin and the electrode. Due to nanohybrids-enhanced catalytic effect for hemin, they were firstly selected for use as a highly sensitive electrochemical platform for ONOO- detection. The resulted sensor showed a high electrocatalytic activity toward ONOO- oxidation, being free from the electroactive interferents, including nitrite, nitrate, dopamine and uric acid at an applied potential of 0.7 V. The sensor exhibited a high sensitivity of 123.1 nA mu W-1 and a lower detection limit of 0.1 mu M, and a wide linear range of 2.4 x 10(-6) to 5.5 x 10(-5) M, which could be attributed to the synergy between ERGO and AuNPs in hybrids. The nanohybrids in situ preparation and ONOO- detection methods would be beneficial to developing other sensing interface and have promising applications in biological molecules analysis and clinical diagnostic. (C) 2017 Elsevier B.V. All rights reserved.