Modeling on oxygen chemisorption-induced noise in metallic oxide gas sensors

Adsorption–desorption noise in gas sensors: Modelling using Langmuir and Wolkenstein models for adsorption

“…However, in the case of chemisorption on semiconductors where charge transfer is involved, the binding energy (adsorption heat) varies with the degree of coverage of chemisorbed species due to the strong electronic interaction between adsorbate and adsorbent [7]. Therefore, while in the previous paper [4] we have used Langmuir-based approach, in the present paper, we propose to model the adsorption-desorption noise using the theory of Wolkenstein's which takes into account the electronic interactions and their effect on the adsorptivity of the semiconductor substrate [5]. The calculation of the noise spectrum will be done on the basis of the free-electronconcentration approach.…”

“…In a recent work [4], we proposed a model of adsorption-desorption noise. This model was developed using Langmuir's isotherm which assumes a constant binding energy between adsorbate and adsorbent.…”

“…Recently, noise spectroscopy has been proposed as a mean of extracting a more selective response from resistive [2,4] and surface acoustic wave [3] gas sensors. Some experimental results revealed that exposure to different gases causes modification in the power density spectrum (PDS) of the gas sensor's resistance fluctuations.…”

“…In a recent work [4], we proposed a model of adsorption-desorption noise in metal oxide gas sensors, based on the simplest adsorption isotherm which is derived from Langmuir's theory. This model, focusing on one component of the measured noise spectra, was intended to be a first step towards an overall model of noise in metal oxide gas sensors.…”

Fluctuation-Enhanced Sensing for Biological Agent Detection and Identification

“…[5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]) and limited body of literature of theoretical studies [13,[22][23][24], enough experience has been acquired to confidently make the following basic claims: i) FES is not a miracle-tool of sensing. However, it has a great potential, and it often provides unique results or it works at conditions where the corresponding classical sensing scheme cannot be used.…”