Field-Effect Transistor Based on Percolation Network of Reduced Graphene Oxide for Real-Time ppb-Level Detection of Lead Ions in Water. (10th August 2020)

• Record Type: Journal Article
• Authors: Sui, Xiaoyu; Pu, Haihui; Maity, Arnab; Chang, Jingbo; Jin, Bing; Lu, Ganhua; Wang, Yale; Ren, Ren; Mao, Shun; Chen, Junhong
• Is Part Of: ECS journal of solid state science and technology. Volume 9:Number 11(2020)
• Publication Date: 2020-08-10
• Subjects: graphene oxide -- percolation -- FET sensor -- lead ion detection; Solid state chemistry -- Periodicals; Electronics -- Materials -- Periodicals; Electrochemistry -- Periodicals; 541.0421
• DOI: 10.1149/2162-8777/abaaf4
• Languages: English
• ISSNs: 2162-8777

Abstract

Abstract : 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 Al2 O3 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.