亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Crumpling of graphene optimizes graphene field effect transistors (GFETs) as ultrasensitive biosensors

作者
Hannah E. Gilbonio,Michael Taeyoung Hwang,Rashid Bashir
摘要

Biosensors are devices that translate biological responses into electrical signals. They have many applications in various fields, however biosensors are especially useful for early detection of diseases such as cancer and other genetic disorders. This could be done, for example, via detection of specific proteins or nucleic acids in body fluids. For the case of DNA and RNA, detection of genetic mutations or specific sequences in DNA can be indicative of the state of a disease. Biosensors with high sensitivity and specificity are essential to the future of the aforementioned fields, however current biosensor technology does not meet the demands of high sensitivity, low cost, and ease of use by the patients. Graphene field effect transistors (GFETs) provide a refreshing alternative to biosensing with benefits including easy integration as biomolecular sensors, low fabrication costs,and most notably they have the ability to lower the biomarker detection limit to the femto-molar range. In this paper, we present a prototype for the new class of GFETs where the channel consists of a layer of crumpled graphene that yields extreme sensitivity for detection of DNA in the sub-atto-molar range. Furthermore, we find that increasing the crumpling ratio of the graphene increases the device’s sensitivity for nucleic acid detection. We hypothesize this is due to two main mechanisms:formation of ’electrical hot spots’ due to variations in the Debye length above the sensor layer and the presence of a more significant band gap for the deformed graphene channel which in turn affects its conductivity. Continuing the work of this project would take the form of further increasing the sensitivity to be able to detect historically scarce molecules that can then lead to more effective biosensing tools in medicine.

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
悄然飘去完成签到 ,获得积分10
2秒前
风金关注了科研通微信公众号
4秒前
17秒前
风金发布了新的文献求助10
23秒前
库小学生完成签到,获得积分10
26秒前
在水一方完成签到 ,获得积分0
28秒前
31秒前
32秒前
36秒前
迷人白桃完成签到,获得积分10
46秒前
46秒前
跳跃的枫完成签到,获得积分10
51秒前
老戎完成签到 ,获得积分10
58秒前
1分钟前
拼搏的小凝完成签到,获得积分10
1分钟前
在水一方的应助被科研通管家采纳,获得10
1分钟前
1分钟前
czl发布了新的文献求助30
1分钟前
1分钟前
taliaidk关注了科研通微信公众号
1分钟前
文静楷瑞完成签到,获得积分10
1分钟前
1分钟前
1分钟前
1分钟前
wwwww发布了新的文献求助10
1分钟前
1分钟前
1分钟前
1分钟前
wwwww发布了新的文献求助10
1分钟前
1分钟前
1分钟前
酷炫安雁完成签到,获得积分10
1分钟前
wwwww发布了新的文献求助10
1分钟前
1分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
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
Das Matthäusevangelium: Kapitel 1:1–17 1000
IRTSD: Open-Source Data and Toolset for Electromagnetic Transient Analysis of Disturbances and IBR Control Malfunctions in Transmission Systems 1000
Entre Praga y Madrid : los contactos checoslovaco-españoles (1948-1977) 600
Les Mots du discours 600
A Consideration on Use of Material Grades for Hull Structural Members Based on Fracture Toughness(Second Report) 500
AI Disclosure in Annual Reports: Evolution, Determinants, and Capital Market Participants’ Perceptions 500
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 8115264
求助须知:如何正确求助?哪些是违规求助? 9521396
关于积分的说明 21533517
捐赠科研通 7693435
什么是DOI,文献DOI怎么找? 3413534
关于科研通互助平台的介绍 2539836
邀请新用户注册赠送积分活动 2453572