• 文献标题:   Field-Effect Transistor Based on Percolation Network of Reduced Graphene Oxide for Real-Time ppb-Level Detection of Lead Ions in Water
  • 文献类型:   Article
  • 作  者:   SUI XY, PU HH, MAITY A, CHANG JB, JIN B, LU GH, WANG YL, REN R, MAO S, CHEN JH
  • 作者关键词:   graphene oxide, percolation, fet sensor, lead ion detection
  • 出版物名称:   ECS JOURNAL OF SOLID STATE SCIENCE TECHNOLOGY
  • ISSN:   2162-8769 EI 2162-8777
  • 通讯作者地址:   Univ Wisconsin
  • 被引频次:   1
  • DOI:   10.1149/2162-8777/abaaf4
  • 出版年:   2020

▎ 摘  要

Real-time lead ion monitoring for drinking water is in an urgent demand, due to the high biotoxicity of lead. We fabricated a reduced graphene oxide (rGO) percolation network based field-effect transistor (FET) by using an easy and scalable micromolding-in-capillary method for lead ion detection in water. The percolation theory analysis elucidates that the required GO mass concentration for a 2D continuum connection converges at a predictable value. Guided by the theoretical analysis, the prepared rGO network was constructed with 1-4 layers of rGO flakes and exhibits comparable electrical properties with single-layer rGO devices. A thin Al(2)O(3)layer was deposited on the device to isolate the analyte from the FET device. With the specific L-Glutathione reduced (GSH) probe, the sensor can reach a limit of detection (LOD) in ppb-level to lead ions. In addition, good selectivity and the high sensing response to Pb(2+)concentrations around 15 ppb (maximum contaminant level of lead for drinking water, US Environmental Protection Agency) suggest our sensor holds great potential for lead ion monitoring in drinking water.