• 文献标题:   Green synthesis of silver nanoparticles decorated reduced graphene oxide nanocomposite as an electrocatalytic platform for the simultaneous detection of dopamine and uric acid
  • 文献类型:   Article
  • 作  者:   NAYAK SP, RAMAMURTHY SS, KUMAR JKK
  • 作者关键词:   silver nanoparticle, reduced graphene oxide, dopamine, uric acid, voltammetry
  • 出版物名称:   MATERIALS CHEMISTRY PHYSICS
  • ISSN:   0254-0584 EI 1879-3312
  • 通讯作者地址:   Sri Sathya Sai Inst Higher Learning
  • 被引频次:   1
  • DOI:   10.1016/j.matchemphys.2020.123302
  • 出版年:   2020

▎ 摘  要

In this study, we report an eco-friendly green synthesis of silver nanoparticles decorated on reduced graphene oxide (Ag-rGO) nanocomposite by using the aqueous fruit extract of Phyllanthus acidus in basic medium. The Ag-rGO nanocomposite was characterized using UV-visible spectroscopy, infrared spectroscopy, scanning electron microscopy, energy dispersive x-ray analysis, Raman spectroscopy, x-ray diffraction and transmission electron microscopy. The fruit extract of Phyllanthus acidus simultaneously reduced the silver ions as well as graphene oxide to form the nanocomposite. Apart from reduction, the extract also acts as a good stabilizing agent for the nanocomposite. Excellent catalytic activity towards oxidation of dopamine (DA) and uric acid (UA) was achieved by Ag-rGO drop casted on glassy carbon electrode (GCE). The Ag-rGO modified electrode produced almost four times higher anodic current compared to a bare GCE. Electrocatalytic oxidation of DA and UA occurred at 0.15 V and 0.27 V using differential pulse voltammetry (DPV). The calibration curves exhibited a narrow linear range from a concentration of 10-70 mu M (R-2 = 0.9896) and 10-130 mu M (R-2 = 0.9896) for DA and UA respectively with a detection limit of 1 mu M for both by DPV (S/N approximate to 3). Simultaneous detection of DA and UA was possible with well resolved oxidation peaks, since the potential difference was greater than 100 mV. The modified electrode presented a very good selectivity, stability and reproducibility towards sensing DA and UA.