Double-Gate Nanowire Field Effect Transistor for a Biosensor

Ahn, Jae-Hyuk; Choi, Sung-Jin; Han, Jin−Woo; Park, Tae Jung; Lee, Sang Yup; Choi, Yang‐Kyu

doi:10.1021/nl1010965

Cited by 167 publications

(103 citation statements)

References 19 publications

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“…The application of additional lateral gates has been shown useful in tuning the carrier concentration of the device and pursuit of an optimal gate configuration is an active area of research. [39][40][41] There is also significant interest in the development of carbon-based devices which do not have an oxide layer such as graphene or carbon-nanotube devices. 14,42 The advantage of these devices is stated to be potential sensitivity enhancement via (i) direct contact with analyte (ii) the size of the material being comparable to the size of the analyte.…”

Section: Operation Of Field-effect Sensorsmentioning

confidence: 99%

Field-effect sensors – from pH sensing to biosensing: sensitivity enhancement using streptavidin–biotin as a model system

Lowe

Sun

Zeimpekis

et al. 2017

Analyst

135

107

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a Field-Effect Transistor sensors (FET-sensors) have been receiving increasing attention for biomolecular sensing over the last two decades due to their potential for ultra-high sensitivity sensing, label-free operation, cost reduction and miniaturisation. Whilst the commercial application of FET-sensors in pH sensing has been realised, their commercial application in biomolecular sensing (termed BioFETs) is hindered by poor understanding of how to optimise device design for highly reproducible operation and high sensitivity. In part, these problems stem from the highly interdisciplinary nature of the problems encountered in this field, in which knowledge of biomolecular-binding kinetics, surface chemistry, electrical double layer physics and electrical engineering is required. In this work, a quantitative analysis and critical review has been performed comparing literature FET-sensor data for pH-sensing with data for sensing of biomolecular streptavidin binding to surface-bound biotin systems. The aim is to provide the first systematic, quantitative comparison of BioFET results for a single biomolecular analyte, specifically streptavidin, which is the most commonly used model protein in biosensing experiments, and often used as an initial proofof-concept for new biosensor designs. This novel quantitative and comparative analysis of the surface potential behaviour of a range of devices demonstrated a strong contrast between the trends observed in pH-sensing and those in biomolecule-sensing. Potential explanations are discussed in detail and surfacechemistry optimisation is shown to be a vital component in sensitivity-enhancement. Factors which can influence the response, yet which have not always been fully appreciated, are explored and practical suggestions are provided on how to improve experimental design.

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Section: Operation Of Field-effect Sensorsmentioning

confidence: 99%

Field-effect sensors – from pH sensing to biosensing: sensitivity enhancement using streptavidin–biotin as a model system

Lowe

Sun

Zeimpekis

et al. 2017

Analyst

135

107

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“…However, it has difficulties concerning position and shape control. 34 On the contrary, the top-down approach can be compatible with the established complementary metal oxide semiconductor (CMOS) lithographic manufacturing technologies, capable of controlling the SiNW array in well-defined shape. In our study, the monocrystalline SiNW FET sensor chip was fabricated by a top-down approach, and used as a label-free biosensor for the multiplexed detection of OSCC biomarkers.…”

Section: Introductionmentioning

confidence: 99%

Silicon Nanowire Biosensor for Highly Sensitive and Multiplexed Detection of Oral Squamous Cell Carcinoma Biomarkers in Saliva

Zhang

Rong-mei

et al. 2015

ANAL. SCI.

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Silicon nanowire (SiNW) field-effect transistor (FET) biosensors have already been used as powerful sensors for the direct detection of disease-related biomarkers. However, the multiplexed detection of biomarkers in real samples is still challenging. Interleukin 8 (IL-8) and tumor necrosis factor α (TNF-α) are two typical biomarkers of oral squamous cell carcinoma (OSCC). In this study, we developed a multiplexed detection methodology for IL-8 and TNF-α detection in saliva using SiNW FET biosensors. We fabricated the SiNW FET sensors using a top-down lithography fabrication technique. Subsequently, we achieved the multiplexed detection of two biomarkers in saliva by specific recognition of the two biomarkers with their corresponding antibodies, which were modified on the SiNW. The established method was found to have a limit of detection as low as 10 fg/mL in 1×PBS as well as 100 fg/mL in artificial saliva. Because of its advantages, including label-free and multiplexed detection, non-invasive analysis, highly sensitive and specific determination, the proposed method is expected to be widely used for the early diagnosis of OSCC.

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“…Special focus will be set on wireshaped nanostructures due to their potential applications in circuits or nanodevices [5,6], as membranes [7], biosensors [8][9][10], transparent electrodes [11], waveguides [12] or antennae in photochemistry [13].…”

Section: Introductionmentioning

confidence: 99%

A coarse-grained Monte Carlo approach to diffusion processes in metallic nanoparticles

2017

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Abstract.A kinetic Monte Carlo approach on a coarse-grained lattice is developed for the simulation of surface diffusion processes of Ni, Pd and Au structures with diameters in the range of a few nanometers. Intensity information obtained via standard two-dimensional transmission electron microscopy imaging techniques is used to create three-dimensional structure models as input for a cellular automaton. A series of update rules based on reaction kinetics is defined to allow for a stepwise evolution in time with the aim to simulate surface diffusion phenomena such as Rayleigh breakup and surface wetting. The material flow, in our case represented by the hopping of discrete portions of metal on a given grid, is driven by the attempt to minimize the surface energy, which can be achieved by maximizing the number of filled neighbor cells.

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Double-Gate Nanowire Field Effect Transistor for a Biosensor

Cited by 167 publications

References 19 publications

Field-effect sensors – from pH sensing to biosensing: sensitivity enhancement using streptavidin–biotin as a model system

Field-effect sensors – from pH sensing to biosensing: sensitivity enhancement using streptavidin–biotin as a model system

Silicon Nanowire Biosensor for Highly Sensitive and Multiplexed Detection of Oral Squamous Cell Carcinoma Biomarkers in Saliva

A coarse-grained Monte Carlo approach to diffusion processes in metallic nanoparticles

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