4.7 Article

Ultrasensitive label-free detection of DNA hybridization by sapphire-based graphene field-effect transistor biosensor

期刊

APPLIED SURFACE SCIENCE
卷 427, 期 -, 页码 1114-1119

出版社

ELSEVIER
DOI: 10.1016/j.apsusc.2017.09.113

关键词

Graphene; Sapphire; Chemical vapor deposition; FET; DNA sensing

资金

  1. National Natural Science Foundation of China [11604040, 61671107, 11674199, 61401258]
  2. Shandong Province Natural Science Foundation [ZR2014FQ032, ZR2017BA004]
  3. Dezhou University [SYJS16001, ZZYQ16003]
  4. Research Foundation for Advanced Talents of Dezhou University [320061]
  5. Taishan Scholars Program of Shandong Province [Tshw201502045]

向作者/读者索取更多资源

Graphene has attracted much attention in biosensing applications for its unique properties. Because of one-atom layer structure, every atom of graphene is exposed to the environment, making the electronic properties of graphene are very sensitive to charged analytes. Therefore, graphene is an ideal material for transistors in high-performance sensors. Chemical vapor deposition (CVD) method has been demonstrated the most successful method for fabricating large area graphene. However, the conventional CVD methods can only grow graphene on metallic substrate and the graphene has to be transferred to the insulating substrate for further device fabrication. The transfer process creates wrinkles, cracks, or tears on the graphene, which severely degrade electrical properties of graphene. These factors severely degrade the sensing performance of graphene. Here, we directly fabricated graphene on sapphire substrate by high temperature CVD without the use of metal catalysts. The sapphire-based graphene was patterned and make into a DNA biosensor in the configuration of field-effect transistor. The sensors show high performance and achieve the DNA detection sensitivity as low as 100 fM (10(-13) M), which is at least 10 times lower than prior transferred CVD G-FET DNA sensors. The use of the sapphire-based G-FETs suggests a promising future for biosensing applications. (C) 2017 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据