• 文献标题:   Preparation of TNP Electrochemical Sensor Based on Silver Nanoparticles/Graphene Oxide Nanocomposite
  • 文献类型:   Article
  • 作  者:   LI JH, KUANG DZ, FENG YL, LIU MQ, TANG SP, DENG PH
  • 作者关键词:   graphene oxide, silver nanoparticle, 2 4 6trinitrophenol, electrochemical sensor
  • 出版物名称:   CHINESE JOURNAL OF INORGANIC CHEMISTRY
  • ISSN:   1001-4861
  • 通讯作者地址:   Hengyang Normal Univ
  • 被引频次:   1
  • DOI:   10.3969/j.issn.1001-4861.2013.00.220
  • 出版年:   2013

▎ 摘  要

Graphene oxide (GO) was prepared by a modified Hummers process, and then silver nanoparticles (AgNPs) were directly deposited on the surface of GO using glucose as reducing agent; finally nanocomposite of AgNPs/GO with good stability was obtained. A novel 2,4,6-trinitrophenol (TNP) electrochemical sensor was fabricated based on the prepared nanocomposite modified electrode. The nanocomposite was characterized by atomic force microscope (AFM), scanning electron microscope (SEM), transmission electron microscope (TEM), UV-Vis spectroscopy (UV-Vis) and alternating current impedance (EIS), and the electrochemical behaviors and kinetic properties of TNP on the modified electrode were also investigated. The experimental results showed that a sensitive oxidation peak and three reduction peaks of TNP appeared at the nanocomposite modified electrode. The oxidation peak can be used for quantitative analysis of TNP. Moreover, the whole electrode process was obviously irreversible, and electrode reaction was controlled by the adsorption step. The surface coverage of nanocomposite modified electrode was 5.617x10(-8) mol.cm(-2), and the rate constant was 9.745x10(-5) cm.s(-1) at the fixed potential. In pH 6.8 phosphate buffer, the oxidation peak currents of TNP were linearly dependent on its concentrations in the range of 5.0x10(-9)similar to 1.0x10(-7) mol.L-1 with accumulation time of 60 s at -0.70 V. The correlation coefficient was 0.995 8 and the detection limit was 1.0x10(-9) mol.L-1. The prepared electrochemical sensor had preferable stability and selectivity, and it could be applied to the quick determination of TNP in real water samples, and the recovery was from 97.6% to 103.9%.