External-Noise-Induced Small-Signal Detection with Solution-Gated Carbon Nanotube Transistor

Hakamata, Yasufumi; Ohno, Yasuhide; Maehashi, Kenzo; Inoue, Kōichi; Matsumoto, Kazuhiko

doi:10.1143/apex.4.045102

Cited by 12 publications

(11 citation statements)

References 20 publications

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“…Although the obtained results from the stochastic resonance experiments are consistent with previous experiments [24,[113][114][115][116][117][118][119], the bell-shaped curve with a clear peak in inputoutput correlation value was not confirmed. The stochastic resonance was also observed even when a square wave was used as the input signal, and the similar behavior as for sine waves was observed when using a square wave.…”

Section: Load Resistance Studysupporting

confidence: 42%

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Stochastic Resonance in Organic Electronic Devices

Suzuki

Asakawa

2022

Polymers

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Stochastic Resonance (SR) is a phenomenon in which noise improves the performance of a system. With the addition of noise, a weak input signal to a nonlinear system, which may exceed its threshold, is transformed into an output signal. In the other words, noise-driven signal transfer is achieved. SR has been observed in nonlinear response systems, such as biological and artificial systems, and this review will focus mainly on examples of previous studies of mathematical models and experimental realization of SR using poly(hexylthiophene)-based organic field-effect transistors (OFETs). This phenomenon may contribute to signal processing with low energy consumption. However, the generation of SR requires a noise source. Therefore, the focus is on OFETs using materials such as organic materials with unstable electrical properties and critical elements due to unidirectional signal transmission, such as neural synapses. It has been reported that SR can be observed in OFETs by application of external noise. However, SR does not occur under conditions where the input signal exceeds the OFET threshold without external noise. Here, we present an example of a study that analyzes the behavior of SR in OFET systems and explain how SR can be made observable. At the same time, the role of internal noise in OFETs will be explained.

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Section: Load Resistance Studysupporting

confidence: 42%

“…In addition, SR phenomena were oberved in various device systems including carbon nanotube transistors [116][117][118][119] and MOSFET [113]. Furthermore, metal-insulator-transition in VO 2 thin film device was used as a nonlinear responding system in naturally parallelized Collions model [24].…”

Section: Stochastic Resonance Phenomena In Electronic Devicesmentioning

confidence: 99%

Stochastic Resonance in Organic Electronic Devices

Suzuki

Asakawa

2022

Polymers

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“…CNTFET‐based biosensors are promising platform for such applications . However, using single CNT or few CNTs as the channel materials for CNTFETs, have the problem of small drain current. This problem gets aggravated when using this transistor in an electrolyte gated system, because in an electrolyte high potentials cannot be applied between the terminals to prevent any electrochemical reaction at their surfaces or to avoid leakage current.…”

Section: Introductionmentioning

confidence: 99%

Using Lipophilic Membrane for Enhanced‐Performance Aqueous Gated Carbon Nanotube Field Effect Transistors

Joshi

Bhatt

Jaworska

et al. 2018

Physica Status Solidi (a)

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Electrolyte gated carbon nanotube field effect transistors have great potential in bio‐sensing applications. However, when the application requires aqueous‐medium electrolytes the performance of field effect based sensors is compromised because of the restriction in the applied voltages. In this work, use of lipophilic poly(vinyl chloride) based membranes containing tetradodecylammonium tetrakis(4‐chlorophenyl)boronate, for encapsulating the channel of the transistor is demonstrated for the first time. This process is performed in ambient atmosphere after fabrication of field effect transistors, hence making it highly lucrative for low cost sensors. A significant improvement in the transistor parameters like increase in on‐off ratio, low hysteresis and reduction in the leakage current are observed, with a negative impact in the on‐current. A comparative study on the impact of membrane composition on the transistor performance is also presented. Toward the end, significant improvement in the performance of a pMOS inverter using membrane on the load and driver transistors is demonstrated.

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“…A silicone rubber was placed on the graphene FET so that the graphene channel was immersed in a buffer solution. An Ag/AgCl reference electrode was used as the top-gated electrode to minimise environmental effects [16,17]. To achieve selective detection, the graphene channels were covered with ion selective membrane (ISM), constructed from a mixture of polyvinyl chloride and valinomycin.…”

Section: Methodsmentioning

confidence: 99%

3.5.1 Selective ion sensors based on ionophore-modified graphene field-effect transistors

Maehashi¹,

Sofue²,

Okamoto³

et al. 2012

Proceedings IMCS 2012

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Selective potassium (K) ion sensors were fabricated by modifying graphene field-effect transistors (FETs) with valinomycin, a selective K ionophore. The valinomycin-modified graphene FETs demonstrated highly sensitive, selective electrical detection of K ions in electrolytes. The K ions bound to the valinomycin in the graphene channel and affected the electrical potential of the channel. The transfer curves were shifted in a negative direction as the K ion concentration increased, indicating that K ions in solution were effectively detected over a wide concentration range, from 10 nM to 1.0 mM. The addition of Na ions did not cause any change in the transfer characteristics. We have thus demonstrated the utility of graphene FETs as highly sensitive, selective K ion sensors.

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External-Noise-Induced Small-Signal Detection with Solution-Gated Carbon Nanotube Transistor

Cited by 12 publications

References 20 publications

Stochastic Resonance in Organic Electronic Devices

Stochastic Resonance in Organic Electronic Devices

Using Lipophilic Membrane for Enhanced‐Performance Aqueous Gated Carbon Nanotube Field Effect Transistors

3.5.1 Selective ion sensors based on ionophore-modified graphene field-effect transistors

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