Chemical vapor deposition grown graphene DNA field-effect transistor biosensor with gold nanoparticles signal amplification

Chun Yu Chan; Feng Yan; Mo Yang

doi:10.1109/MEMSYS.2016.7421617

Chemical vapor deposition grown graphene DNA field-effect transistor biosensor with gold nanoparticles signal amplification

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

4 Citations (Scopus)

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	https://doi.org/10.1109/MEMSYS.2016.7421617
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

More information

10.1109/MEMSYS.2016.7421617

Cite this

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title = "Chemical vapor deposition grown graphene DNA field-effect transistor biosensor with gold nanoparticles signal amplification",

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.",

author = "Chan, {Chun Yu} and Feng Yan and Mo Yang",

year = "2016",

month = feb,

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doi = "10.1109/MEMSYS.2016.7421617",

language = "English",

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pages = "290--293",

booktitle = "MEMS 2016 - 29th IEEE International Conference on Micro Electro Mechanical Systems",

publisher = "IEEE",

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Chan, CY, Yan, F & Yang, M 2016, Chemical vapor deposition grown graphene DNA field-effect transistor biosensor with gold nanoparticles signal amplification. in MEMS 2016 - 29th IEEE International Conference on Micro Electro Mechanical Systems. vol. 2016-February, 7421617, IEEE, pp. 290-293, 29th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2016, Shanghai, China, 24/01/16. https://doi.org/10.1109/MEMSYS.2016.7421617

Chemical vapor deposition grown graphene DNA field-effect transistor biosensor with gold nanoparticles signal amplification. / Chan, Chun Yu; Yan, Feng ; Yang, Mo.
MEMS 2016 - 29th IEEE International Conference on Micro Electro Mechanical Systems. Vol. 2016-February IEEE, 2016. p. 290-293 7421617.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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N2 - 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.

AB - 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.

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BT - MEMS 2016 - 29th IEEE International Conference on Micro Electro Mechanical Systems

PB - IEEE

T2 - 29th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2016

Y2 - 24 January 2016 through 28 January 2016

ER -

Chemical vapor deposition grown graphene DNA field-effect transistor biosensor with gold nanoparticles signal amplification

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