scholarly journals RNA Detection Based on Graphene Field-Effect Transistor Biosensor

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Meng Tian ◽  
Shicai Xu ◽  
Junye Zhang ◽  
Xiaoxin Wang ◽  
Zhenhua Li ◽  
...  
Keyword(s):  
Field Effect ◽  
Field Effect Transistor ◽  
Detection Sensitivity ◽  
Monolayer Graphene ◽  
Time Saving ◽  
Fast Analysis ◽  
Rna Detection ◽  
Graphene Field Effect Transistor ◽  
Label Free Detection ◽  
Effect Transistor

Graphene has attracted much attention in biosensing applications due to its unique properties. In this paper, the monolayer graphene was grown by chemical vapor deposition (CVD) method. Using the graphene as the electric channel, we have fabricated a graphene field-effect transistor (G-FET) biosensor that can be used for label-free detection of RNA. Compared with conventional method, the G-FET RNA biosensor can be run in low cost, be time-saving, and be miniaturized for RNA measurement. The sensors show high performance and achieve the RNA detection sensitivity as low as 0.1 fM, which is two orders of magnitude lower than the previously reports. Moreover, the G-FET biosensor can readily distinguish target RNA from noncomplementary RNA, showing high selectivity for RNA detection. The developed G-FET RNA biosensor with high sensitivity, fast analysis speed, and simple operation may provide a new feasible direction for RNA research and biosensing.

scholarly journals Graphene field effect transistor for ultrasensitive label-free detection of ATP and Adenosine

2021 ◽  
Vol 30 ◽  
pp. 02007
Author(s):  
Jianjian Liu ◽  
Meng Tian ◽  
Ruihong Song ◽  
Yingxian Li ◽  
Zanxia Cao ◽  
...  
Keyword(s):  
Field Effect ◽  
Field Effect Transistor ◽  
Electrical Response ◽  
Single Layer ◽  
Laboratory Animals ◽  
Label Free ◽  
Fast Analysis ◽  
Graphene Field Effect Transistor ◽  
Label Free Detection ◽  
Effect Transistor

Because of unique electrical and structural properties, graphene has attracted widespread attention in biosensing applications. In this paper, a single layer of graphene was grown by chemical vapor deposition (CVD). Using graphene as the electric channel, a graphene field effect transistor (G-FET) biosensor was fabricated and used to detect adenosine triphosphate (ATP) and adenosine. Compared with traditional methods, the G-FET biosensor has the advantages of higher sensitivity and better stability. The sensor showed high performance and achieved a detection limit down to 0.5 pM for both ATP and adenosine. Moreover, the G-FET biosensor showed an excellent linear electrical response to ATP concentrations in a broad range from 0.5 pM to 50 μM. The developed graphene biosensor has high sensitivity, simple operation, and fast analysis speed, which may provide a new feasible direction to detect ATP and adenosine. Healthy sexually mature male laboratory Wistar rats, weighing 180-200 gr (“FSUE “Nursery of laboratory animals “Rappolovo”) and having been placed under quarantine not less than for 14 days, were selected for the experiment.

A Large-Signal Monolayer Graphene Field-Effect Transistor Compact Model for RF-Circuit Applications

2017 ◽  
Vol 64 (10) ◽  
pp. 4302-4309 ◽  
Author(s):  
Jorge-Daniel Aguirre-Morales ◽  
Sebastien Fregonese ◽  
Chhandak Mukherjee ◽  
Wei Wei ◽  
Henri Happy ◽  
...  
Keyword(s):  
Field Effect ◽  
Field Effect Transistor ◽  
Compact Model ◽  
Monolayer Graphene ◽  
Large Signal ◽  
Graphene Field Effect Transistor ◽  
Effect Transistor ◽  
Rf Circuit

Monolayer Graphene Field Effect Transistor-Based Operational Amplifier

2019 ◽  
Vol 28 (03) ◽  
pp. 1950052
Author(s):  
Ali Safari ◽  
Massoud Dousti ◽  
Mohammad Bagher Tavakoli
Keyword(s):  
Operational Amplifier ◽  
Field Effect ◽  
Field Effect Transistor ◽  
Cmos Technology ◽  
Design System ◽  
Monolayer Graphene ◽  
Characteristic Curves ◽  
Op Amp ◽  
Graphene Field Effect Transistor ◽  
Effect Transistor

Graphene Field Effect Transistor (GFET) is a promising candidate for future high performance applications in the beyond CMOS roadmap for analog circuit applications. This paper presents a Verilog-A implementation of a monolayer graphene field-effect transistor (mGFET) model. The study of characteristic curves is carried out using advanced design system (ADS) tools. Validation of the model through comparison with measurements from the characteristic curves is carried out using Silvaco TCAD tools. Finally, the mGFET is used to design a GFET-based operational amplifier (Op-Amp). The GFET Op-Amp performances are tuned in term of the graphene channel length in order to obtain a reasonable gain and bandwidth. The main characteristics of the Op-Amp performance are compared with 0.18[Formula: see text][Formula: see text]m CMOS technology.

Highly-sensitive graphene field effect transistor biosensor using PNA and DNA probes for RNA detection

2020 ◽  
Vol 527 ◽  
pp. 146839 ◽  
Author(s):  
Meng Tian ◽  
Mei Qiao ◽  
Congcong Shen ◽  
Fanlu Meng ◽  
Ludmila A. Frank ◽  
...  
Keyword(s):  
Field Effect ◽  
Field Effect Transistor ◽  
Dna Probes ◽  
Rna Detection ◽  
Graphene Field Effect Transistor ◽  
Highly Sensitive ◽  
Effect Transistor

Distributed Amplifier Based on Monolayer Graphene Field Effect Transistor

2019 ◽  
Vol 28 (14) ◽  
pp. 1950231
Author(s):  
Ali Safari ◽  
Massoud Dousti ◽  
Mohammad Bagher Tavakoli
Keyword(s):  
Field Effect ◽  
Field Effect Transistor ◽  
Transport Theory ◽  
Cmos Technology ◽  
Design System ◽  
Monolayer Graphene ◽  
Distributed Amplifier ◽  
Microwave Electronics ◽  
Graphene Field Effect Transistor ◽  
Effect Transistor

Due to the ultra-high carrier mobility and ultralow resistivity of Graphene channel, a Graphene field effect transistor (GFET) is an interesting candidate for future RF and microwave electronics. In this paper, the introduction and review of existing compact circuit-level model of GFETs are presented. A compact GFET model based on drift-diffusion transport theory is then implemented in Verilog-A for RF/microwave circuit analysis. Finally, the GFET model is used to design a GFET-based distributed amplifier (DA) using advanced design system (ADS) tools. The simulation results demonstrate a gain of 8[Formula: see text]dB, an input/output return loss less than [Formula: see text]10[Formula: see text]dB, [Formula: see text]3[Formula: see text]dB bandwidth from DC up to 5[Formula: see text]GHz and a dissipation of about 60.45[Formula: see text]mW for a 1.5[Formula: see text]V power supply. The main performance characteristics of the distributed amplifier are compared with 0.18[Formula: see text][Formula: see text]m CMOS technology.

scholarly journals Detection of Alpha-Fetoprotein in Hepatocellular Carcinoma Patient Plasma with Graphene Field-Effect Transistor

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 4032 ◽  
Author(s):  
Dae Kim ◽  
Hong Oh ◽  
Woo Park ◽  
Dong Jeon ◽  
Ki Lim ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Field Effect ◽  
Field Effect Transistor ◽  
Dirac Point ◽  
Alpha Fetoprotein ◽  
Detection Sensitivity ◽  
Practical Applications ◽  
Graphene Field Effect Transistor ◽  
Channel Surface ◽  
Effect Transistor

The detection of alpha-fetoprotein (AFP) in plasma is important in the diagnosis of hepatocellular carcinoma (HCC) in humans. We developed a biosensor to detect AFP in HCC patient plasma and in a phosphate buffer saline (PBS) solution using a graphene field-effect transistor (G-FET). The G-FET was functionalized with 1-pyrenebutyric acid N-hydroxysuccinimide ester (PBASE) for immobilization of an anti-AFP antibody. AFP was detected by assessing the shift in the voltage of the Dirac point (ΔVDirac) after binding of AFP to the anti-AFP-immobilized G-FET channel surface. This anti-AFP-immobilized G-FET biosensor was able to detect AFP at a concentration of 0.1 ng mL−1 in PBS, and the detection sensitivity was 16.91 mV. In HCC patient plasma, the biosensor was able to detect AFP at a concentration of 12.9 ng mL−1, with a detection sensitivity of 5.68 mV. The sensitivity (ΔVDirac) depended on the concentration of AFP in either PBS or HCC patient plasma. These data suggest that G-FET biosensors could have practical applications in diagnostics.

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