Doubling Fluctuation-Enhanced Sensing Information by Separating Adsorption-Desorption and Difussive Fluctuations
Gabor Schmera, Laszlo B. Kish
TL;DR
This paper presents a method to separate adsorption-desorption and diffusive fluctuations in a two-sensor system, effectively doubling the information available for pattern recognition in fluctuation-enhanced sensing.
Contribution
It introduces a novel approach to separate fluctuation components, enhancing the information capacity of sensors for improved pattern recognition.
Findings
Separation of fluctuation signals doubles sensor information.
Independent spectra enable better pattern recognition.
Method improves sensing accuracy and data richness.
Abstract
We analyze a (symmetrical) two-sensor arrangement with a joint boundary line between the sensors for fluctuation-enhanced sensing. We show a way to separate the adsorption-desorption signal components from the diffusive signal component. Thus the method generates two independent output spectra which doubles the sensor information for pattern recognition.
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Taxonomy
TopicsGas Sensing Nanomaterials and Sensors · Mechanical and Optical Resonators · Analytical Chemistry and Sensors