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An ultra-sensitive Lorentz microwave sensor for detection of low-permittivity gaseous water states and sub-wavelength biosamples

Siddiqui, O. and Shah, M. and Amin, M. and Ramzan, R. and Harun, M. and Abutarboush, H. F. (2021) An ultra-sensitive Lorentz microwave sensor for detection of low-permittivity gaseous water states and sub-wavelength biosamples. IEEE Sensors Journal, 21 (22). pp. 26014-26022. ISSN 1530-437X

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Official URL: http://dx.doi.org/10.1109/JSEN.2021.3114625

Abstract

The high sensitivity of Lorentz sensors comes from its narrowband resonant characteristics marked by rapid slope change of slope of its phase spectrum, a phenomenon known as Anomalous dispersion. Unlike conventional microwave resonant sensors which have a resonant amplitude, the Lorentz sensors also have unique signature in its phase spectra which adds a second degrees of freedom in detection and removes ambiguity in the identification of the resonant frequency. We demonstrate two sensing applications in which ultra-high sensitivity is required. In particular, we show that by exploiting the high electric field regions in Lorentz resonators detection of low density gaseous water states (steam) and sub-wavelength sized biomaterials is possible. The material sensing is performed by characterizing the resonant shifts in the frequency range of 1 to 2 GHz. Depending on the gaseous state concentrations, the dielectric constant of the detected steam lies between 1.04 and 1.6 GHz. The Lorentz resonator is shown to distinguish accurately between different sub-wavelength samples derived from different parts of chicken. We anticipate that the proposed sensor can be used in biosensing of cancerous cells and in detecting low-permittivity poisonous gaseous matter such as clear smoke, carbon mono oxide, methane and nitrogen.

Item Type:Article
Uncontrolled Keywords:Lorentz sensors, resonant sensors, steam sensor, water sensor
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:95684
Deposited By: Yanti Mohd Shah
Deposited On:31 May 2022 13:04
Last Modified:31 May 2022 13:04

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