Abstract
This paper presents a graphene-based bio-field-effect transistor (bioFET) for the detection of avian influenza A virus subtype H7 gene. This bioFET was realized by directly assembling capture probes on graphene surface via n-n stacking interaction. The extended long capture probes is a simple and stable biofunctionalization strategy. Reporter probes conjugated to AuNPs were then applied to hybridize with H7 target in a sandwich assay format for signal amplification. Transfer curves were recorded to demonstrate the improved analytical performance with AuNPs-reporter probes signal amplification. This bioFET biosensor exhibited lower limit of detect (LOD) of 64 fM, which is yet the lowest among other graphene-based bioFET for DNA detection.
| Original language | English |
|---|---|
| Title of host publication | MEMS 2016 - 29th IEEE International Conference on Micro Electro Mechanical Systems |
| Publisher | IEEE |
| Pages | 290-293 |
| Number of pages | 4 |
| Volume | 2016-February |
| ISBN (Electronic) | 9781509019731 |
| DOIs | |
| Publication status | Published - 26 Feb 2016 |
| Event | 29th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2016 - Shanghai, China Duration: 24 Jan 2016 → 28 Jan 2016 |
Conference
| Conference | 29th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2016 |
|---|---|
| Country/Territory | China |
| City | Shanghai |
| Period | 24/01/16 → 28/01/16 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Mechanical Engineering
- Condensed Matter Physics
- Electronic, Optical and Magnetic Materials
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