石墨烯
材料科学
场效应晶体管
光电子学
电容感应
晶体管
氧化物
铅(地质)
离子
纳米技术
质量(理念)
脉搏(音乐)
电气工程
化学
探测器
电压
工程类
物理
有机化学
冶金
地质学
地貌学
量子力学
作者
Arnab Maity,Xiaoyu Sui,Chad R. Tarman,Hongting Pu,Jingbo Chang,Guihua Zhou,Ren Ren,Shun Mao,Junhong Chen
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2017-10-31
卷期号:2 (11): 1653-1661
被引量:68
标识
DOI:10.1021/acssensors.7b00496
摘要
Rapid and real-time detection of heavy metals in water with a portable microsystem is a growing demand in the field of environmental monitoring, food safety, and future cyber-physical infrastructure. Here, we report a novel ultrasensitive pulse-driven capacitance-based lead ion sensor using self-assembled graphene oxide (GO) monolayer deposition strategy to recognize the heavy metal ions in water. The overall field-effect transistor (FET) structure consists of a thermally reduced graphene oxide (rGO) channel with a thin layer of Al2O3 passivation as a top gate combined with sputtered gold nanoparticles that link with the glutathione (GSH) probe to attract Pb2+ ions in water. Using a preprogrammed microcontroller, chemo-capacitance based detection of lead ions has been demonstrated with this FET sensor. With a rapid response (∼1–2 s) and negligible signal drift, a limit of detection (LOD) < 1 ppb and excellent selectivity (with a sensitivity to lead ions 1 order of magnitude higher than that of interfering ions) can be achieved for Pb2+ measurements. The overall assay time (∼10 s) for background water stabilization followed by lead ion testing and calculation is much shorter than common FET resistance/current measurements (∼minutes) and other conventional methods, such as optical and inductively coupled plasma methods (∼hours). An approximate linear operational range (5–20 ppb) around 15 ppb (the maximum contaminant limit by US Environmental Protection Agency (EPA) for lead in drinking water) makes it especially suitable for drinking water quality monitoring. The validity of the pulse method is confirmed by quantifying Pb2+ in various real water samples such as tap, lake, and river water with an accuracy ∼75%. This capacitance measurement strategy is promising and can be readily extended to various FET-based sensor devices for other targets.
科研通智能强力驱动
Strongly Powered by AbleSci AI