Detection of DNA Bases via Field Effect Transistor of Graphene Nanoribbon With a Nanopore: Semi-Empirical Modeling

Wasfi, Asma; Awwad, Falah; Ayesh, Ahmad I.

doi:10.1109/tnb.2021.3077364

Cited by 6 publications

(2 citation statements)

References 67 publications

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“…Some of the target biomolecules increase the FET current by acting as donors, while other target molecules reduce the sensor current and act as acceptors. This electrical current change is used as the detection signal of the target biomolecule [ 29 , 30 , 31 ]. Moreover, the conductance fluctuations can also be utilized as the detection signal [ 32 ].…”

Section: Introductionmentioning

confidence: 99%

Graphene Nanoribbon Field Effect Transistor Simulations for the Detection of Sugar Molecules: Semi-Empirical Modeling

Wasfi

Hamarna

Shehhi

et al. 2023

Sensors

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Graphene has remarkable characteristics that make it a potential candidate for optoelectronics and electronics applications. Graphene is a sensitive material that reacts to any physical variation in its environment. Due to its extremely low intrinsic electrical noise, graphene can detect even a single molecule in its proximity. This feature makes graphene a potential candidate for identifying a wide range of organic and inorganic compounds. Graphene and its derivatives are considered one of the best materials to detect sugar molecules due to their electronic properties. Graphene has low intrinsic noise, making it an ideal membrane for detecting low concentrations of sugar molecules. In this work, a graphene nanoribbon field effect transistor (GNR-FET) is designed and utilized to identify sugar molecules such as fructose, xylose, and glucose. The variation in the current of the GNR-FET in the presence of each of the sugar molecules is utilized as the detection signal. The designed GNR-FET shows a clear change in the device density of states, transmission spectrum, and current in the presence of each of the sugar molecules. The simulated sensor is made of a pair of metallic zigzag graphene nanoribbons (ZGNR) joint via a channel of armchair graphene nanoribbon (AGNR) and a gate. The Quantumwise Atomistix Toolkit (ATK) is used to design and conduct the nanoscale simulations of the GNR-FET. Semi-empirical modeling, along with non-equilibrium Green’s functional theory (SE + NEGF), is used to develop and study the designed sensor. This article suggests that the designed GNR transistor has the potential to identify each of the sugar molecules in real time with high accuracy.

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Section: Introductionmentioning

confidence: 99%

Graphene Nanoribbon Field Effect Transistor Simulations for the Detection of Sugar Molecules: Semi-Empirical Modeling

Wasfi

Hamarna

Shehhi

et al. 2023

Sensors

Self Cite

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“…Nanoscale devices, such as Si nanowire FETs (NWTs) [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 ] or graphene nanoribbon and carbon nanotube FETs [ 12 , 13 , 14 , 15 , 16 ], are promising transducers for the label-free detection of biological species. Both theoretical and experimental studies have predicted improvement of sensitivity (S) when scaling down NWTs dimensions.…”

Section: Introductionmentioning

confidence: 99%

Ultra-Scaled Si Nanowire Biosensors for Single DNA Molecule Detection

Afzalian

Flandre

2023

Sensors

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In this study, we use NEGF quantum transport simulations to study the fundamental detection limit of ultra-scaled Si nanowire FET (NWT) biosensors. A N-doped NWT is found to be more sensitive for negatively charged analytes as explained by the nature of the detection mechanism. Our results predict threshold voltage shifts due to a single-charge analyte of tens to hundreds of mV in air or low-ionic solutions. However, with typical ionic solutions and SAM conditions, the sensitivity rapidly drops to the mV/q range. Our results are then extended to the detection of a single 20-base-long DNA molecule in solution. The impact of front- and/or back-gate biasing on the sensitivity and limit of detection is studied and a signal-to-noise ratio of 10 is predicted. Opportunities and challenges to reach down to single-analyte detection in such systems are also discussed, including the ionic and oxide-solution interface-charge screening and ways to recover unscreened sensitivities.

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DNA bases detection via MoS2 field effect transistor with a nanopore: first-principles modeling

Wasfi

Awwad

Atef

2023

Analog Integr Circ Sig Process

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Detection of DNA Bases via Field Effect Transistor of Graphene Nanoribbon With a Nanopore: Semi-Empirical Modeling

Abstract: The article is submitted in December 2020.

Cited by 6 publications

References 67 publications

Graphene Nanoribbon Field Effect Transistor Simulations for the Detection of Sugar Molecules: Semi-Empirical Modeling

Graphene Nanoribbon Field Effect Transistor Simulations for the Detection of Sugar Molecules: Semi-Empirical Modeling

Ultra-Scaled Si Nanowire Biosensors for Single DNA Molecule Detection

DNA bases detection via MoS2 field effect transistor with a nanopore: first-principles modeling

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