Low-cost fabrication of graphene based field effect transistor sensors for the detection of arsenic in potable water

出处
期刊:Northeastern University - Digital Repository Service
摘要

Arsenic, an element that exists naturally in the Earth's crust, can become airborne or contaminate groundwater and food. Exposure to arsenic can cause serious health problem and more than 200 million people, worldwide, are at risk for unsafe arsenic exposure. In this study, a graphene field effect transistor (GFET) composed of electrodes and a functionalized graphene layer was used to detect the presence of arsenic at the point of care. When a ramp voltage is applied to a reference electrode positioned near the graphene layer, a uniform electric field normal to the graphene surface is produced. Voltage gate, drain, and source electrodes configurations were studied numerically using EMS Solidworks simulations for uniformity optimization. Electrodes on the chip measure charge mobility in vicinity of Dirac point where the energy dispersion relation behaves linearly. Any change in the electrical current of the underlying graphene layer in response to the interaction of arsenic molecules with an attached active layer then is measured by an in-house curve tracer system. Concentrations of arsenic studied range from 0 to 200 ppb with linear detection sensitivity between 10ppb-100ppb of arsenic in the form of arsine gas. Repeatability studies have been performed to show the consistency of the results. The main measurement for chemical detection was the change in slope for the drain resistance within the first minute of arsine gas encountering the chip. The chip is meant to be used in tandem with a cartridge, allowing for introduction of a water sample via a port. Different types of graphene functionalization, such as dip-coating and reservoir methods were studied. Active layer coatings such as mercuric bromide and zinc bromide were also investigated. Accuracy of the system was tested by an off the shelf test kit with a sensitivity of 5ppb. In parallel, an intensive study has been performed on water quality of Boston suburbs and one New Hampshire area. The water samples were measured for their arsenic content and have been stored as sample bank for further studies.--Author's abstract

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
llyq66698完成签到,获得积分10
刚刚
白白不喽完成签到 ,获得积分10
刚刚
草根喵完成签到,获得积分10
1秒前
几几完成签到,获得积分10
2秒前
秋风完成签到,获得积分0
4秒前
5秒前
科研通AI6.2的应助被Jeff采纳,获得10
8秒前
10秒前
飞得更高发布了新的文献求助10
11秒前
负责以山完成签到 ,获得积分10
12秒前
贤惠的咖啡完成签到,获得积分10
14秒前
细心的代天完成签到 ,获得积分10
15秒前
酷波er的应助被Jeff采纳,获得20
19秒前
体贴凌寒完成签到 ,获得积分10
20秒前
冷冷完成签到 ,获得积分10
22秒前
李狗蛋完成签到,获得积分10
23秒前
飞得更高完成签到,获得积分10
24秒前
归海一刀完成签到 ,获得积分10
25秒前
pmsl完成签到,获得积分10
25秒前
小章鱼完成签到 ,获得积分10
25秒前
27秒前
数乱了梨花完成签到 ,获得积分0
29秒前
subbrilliance完成签到 ,获得积分10
29秒前
王旭完成签到,获得积分10
30秒前
魔幻友菱完成签到 ,获得积分10
30秒前
不羁的风完成签到,获得积分10
32秒前
梦华老师发布了新的文献求助10
32秒前
BlossomGuard完成签到,获得积分10
32秒前
道道sy完成签到,获得积分10
34秒前
成就鑫完成签到 ,获得积分10
35秒前
35秒前
36秒前
HCody完成签到 ,获得积分10
36秒前
39秒前
畅快远望完成签到 ,获得积分10
41秒前
拂晓完成签到 ,获得积分10
41秒前
kk完成签到 ,获得积分10
42秒前
43秒前
Metaverse完成签到 ,获得积分10
44秒前
45秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Energie-Contracting 1500
Klimaschutzrecht durch den Energiesektor im Mehrebenensystem – Ein Rechtsvergleich 1000
Représentation chimique de la structure des kérogènes et des asphaltènes en fonction de leur origine et de leur degré d'évolution 800
Oncology Clinical Trials: Successful Design, Conduct, and Analysis, Second Edition 800
Stochastic Models in Operations Research,Vol. 2 600
Elektrische Feldverteilung in gasisolierten Anlagen unter Gleichspannungsbelastung 550
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8056941
求助须知:如何正确求助?哪些是违规求助? 9482616
关于积分的说明 21313720
捐赠科研通 7624951
什么是DOI,文献DOI怎么找? 3394767
关于科研通互助平台的介绍 2525837
邀请新用户注册赠送积分活动 2433155