• 文献标题:   Morphology-dependent MnO2/nitrogen-doped graphene nanocomposites for simultaneous detection of trace dopamine and uric acid
  • 文献类型:   Article
  • 作  者:   LI Q, XIA YH, WAN X, YANG SH, CAI ZT, YE YB, LI GL
  • 作者关键词:   morphologydependent, manganese dioxide, nitrogendoped graphene, dopamine, uric acid
  • 出版物名称:   MATERIALS SCIENCE ENGINEERING CMATERIALS FOR BIOLOGICAL APPLICATIONS
  • ISSN:   0928-4931 EI 1873-0191
  • 通讯作者地址:   Hunan Univ Technol
  • 被引频次:   18
  • DOI:   10.1016/j.msec.2019.110615
  • 出版年:   2020

▎ 摘  要

Four nanostructured MnO2 with various controllable morphologies, including nanowires, nanorods, nanotubes and nanoflowers were synthesized, and then further composited with nitrogen-doped graphene (NG) with the assistance of ultrasonication. The surface morphologies, phase structures, and electrochemical performances of the proposed MnO2/NG nanohybrids were investigated by various techniques, and their catalytic activities on the electrooxidation of dopamine (DA) and uric acid (UA) were compared systematically. The sensing performances were found to be highly correlated with their morphologies. Among these morphologies, the nanoflowerlike MnO2, composited with NG, displayed the most sensitive response signals for DA and UA. The boosted electrocatalytic activity was ascribed to the unique porous structure, large electroactive area, and low charge transfer resistance (R-ct), which facilitated the electron transfer between electrode and analyzes. Two linear response ranges (0.1 mu M-10 mu M and 10 mu M-100 mu M) were accompanied with very low detection limits of 34 nM and 39 nM for DA and UA, respectively. Moreover, the successful application of the MnO2 NFs/NG composites for the simultaneous detection of DA and UA in human serum was realized using second-derivative linear sweep voltammetry (SDLSV). These findings give valuable insights for understanding the morphology-dependent sensing properties of MnO2 based nanomaterials, which is conducive to the rapid development of ubiquitous MnO2-based electrochemical sensors.