Noise Spectroscopy of Gas Sensors

Aroutiounian, V. M.; Mkhitaryan, Z. H.; Shatveryan, A. A.; Gasparyan, F. V.; Ghulinyan, Mher; Pavesi, L.; Kish, László B.; Granqvist, Claes G.

doi:10.1109/jsen.2008.923184

Cited by 34 publications

(16 citation statements)

References 17 publications

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“…The concept that the low‐frequency noise spectrum of graphene transistors could be served as a new sensing parameter for detection has been put forward in 2008. Recently, Rumyantsev and his team came up with an idea that the low‐frequency noise spectrum can serve as a sensing parameter for selecting gas sensing with pristine graphene devices.…”

Section: Electronic Sensing Applications Of Graphene Based Field Effementioning

confidence: 99%

Graphene Field‐Effect Transistor and Its Application for Electronic Sensing

Zhan

Yang

et al. 2014

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Graphene, because of its excellent mechanical, electrical, chemical, physical properties, sparked great interest to develop and extend its applications. Particularly, graphene based field-effect transistors (GFETs) present exciting and bright prospects for sensing applications due to their greatly higher sensitivity and stronger selectivity. This Review highlights a selection of important topics pertinent to GFETs and their application in electronic sensors. This article begins with a description of the fabrications and characterizations of GFETs, and then introduces the new developments in physical, chemical, and biological electronic detection using GFETs. Finally, several perspective and current challenges of GFETs development are presented, and some proposals are suggested for further development and exploration.

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Section: Electronic Sensing Applications Of Graphene Based Field Effementioning

confidence: 99%

Graphene Field‐Effect Transistor and Its Application for Electronic Sensing

Zhan

Yang

et al. 2014

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“…Noise spectroscopy and diagnostics are among the powerful and sensitive tools for studies of properties of semiconductors and different-purpose devices, in particular, gas sensors [5][6][7][8]. Phenomenon of low frequency (LF) fluctuations of electric current in semiconductors and semiconductor devices is an object of investigations of many researchers and engineers [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Static and noise characteristics of nanocomposite gas sensors

et al. 2014

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Abstract⎯Thin film gas sensors based on nanocomposite In 2 O 3 ⋅Ga 2 O 3 ⋅SnO 2 (70:20:10) have been manufactured by the high-frequency magnetron sputtering method. The technological cycle of sensor fabrication processes is described. Sensitivity of the prepared sensors at the temperature of working body 250°С and low-frequency noises within the 1-300 Hz range were investigated. The response of sensors to vapors of ethanol and acetone was investigated using resistive and noise methods. It is shown that the value of the sensitivity measured by the noise method exceeds the value of sensitivity measured by the resistive method. Sensors show appreciable sensitivity to the ethanol vapors already at working body temperature 150°С. Sensors can be used for the detection of low concentrations of ethanol vapors. The monotonous increase in the sensitivity of these sensors with increase in the ethanol and acetone vapors content allows applying nanosensors also for fast determination of gases concentration in air.

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“…These fluctuations are also influenced by environmental changes and in particular, changes in the ambient chemical environment [2], [3]. The FES methods are based on separating and analyzing the stochastic signal component due to the interaction between the chemical agent and the sensor material [4]- [10].…”

Section: Introductionmentioning

confidence: 99%

Separating Chemical Signals of Adsorption– Desorption and Diffusive Processes

et al. 2010

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We present a new sensor signal processing method that improves selectivity, sensitivity, and processing speed in systems, using fluctuation-enhanced sensing. We consider the output signal of a symmetric two-sensor arrangement and generate two independent output spectra by separating the adsorption-desorption signal component from the diffusion signal component. We demonstrate the key features of our method by computer modeling and simulation.

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Noise Spectroscopy of Gas Sensors

Cited by 34 publications

References 17 publications

Graphene Field‐Effect Transistor and Its Application for Electronic Sensing

Graphene Field‐Effect Transistor and Its Application for Electronic Sensing

Static and noise characteristics of nanocomposite gas sensors

Separating Chemical Signals of Adsorption– Desorption and Diffusive Processes

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