Journal Article FZJ-2017-07281

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Biosensing near the neutrality point of graphene

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2017
Assoc. Washington, DC [u.a.]

Science advances 3(10), e1701247 - () [10.1126/sciadv.1701247]

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Abstract: Over the past decade, the richness of electronic properties of graphene has attracted enormous interest for electrically detecting chemical and biological species using this two-dimensional material. However, the creation of practical graphene electronic sensors greatly depends on our ability to understand and maintain a low level of electronic noise, the fundamental reason limiting the sensor resolution. Conventionally, to reach the largest sensing response, graphene transistors are operated at the point of maximum transconductance, where 1/f noise is found to be unfavorably high and poses a major limitation in any attempt to further improve the device sensitivity. We show that operating a graphene transistor in an ambipolar mode near its neutrality point can markedly reduce the 1/f noise in graphene. Remarkably, our data reveal that this reduction in the electronic noise is achieved with uncompromised sensing response of the graphene chips and thus significantly improving the signal-to-noise ratio—compared to that of a conventionally operated graphene transistor for conductance measurement. As a proof-of-concept demonstration of the usage of the aforementioned new sensing scheme to a broader range of biochemical sensing applications, we selected an HIV-related DNA hybridization as the test bed and achieved detections at picomolar concentrations.

Classification:

Contributing Institute(s):
  1. Bioelektronik (ICS-8)
  2. JARA-FIT (JARA-FIT)
Research Program(s):
  1. 552 - Engineering Cell Function (POF3-552) (POF3-552)
  2. 553 - Physical Basis of Diseases (POF3-553) (POF3-553)
  3. 523 - Controlling Configuration-Based Phenomena (POF3-523) (POF3-523)

Appears in the scientific report 2017
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Medline ; Creative Commons Attribution-NonCommercial CC BY-NC 4.0 ; DOAJ ; OpenAccess ; DOAJ Seal ; Emerging Sources Citation Index ; NCBI Molecular Biology Database ; Thomson Reuters Master Journal List ; Web of Science Core Collection
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ICS > ICS-8
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Open Access

 Record created 2017-11-02, last modified 2024-06-19