Interdigitated capacitor based frequency splitting differential microwave sensor for complete dielectric characterization of organic liquids.

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Title: Interdigitated capacitor based frequency splitting differential microwave sensor for complete dielectric characterization of organic liquids.
Authors: Buragohain, Akash1,2 (AUTHOR) 87.akashburagohain@gmail.com, Shankar Das, Gouree1 (AUTHOR) gsdas@dibru.ac.in, Beria, Yatish1 (AUTHOR) yatish.beria.786@gmail.com, Kalita, Partha Protim1 (AUTHOR) kalitapartha14@gmail.com, Doloi, Trishna1 (AUTHOR) doloitrishna1@gmail.com, Al-Gburi, Ahmed Jamal Abdullah3 (AUTHOR) ahmedjamal@utem.edu.my
Source: Sensors & Actuators A: Physical. Feb2025, Vol. 382, pN.PAG-N.PAG. 1p.
Subjects: Permittivity, Measurement errors, Distributed sensors, Electric fields, Resonators
Abstract: This work presents an interdigitated capacitor split ring resonator based frequency splitting differential microwave sensor for complete dielectric characterization of organic liquid samples over a wide permittivity range. The proposed sensor comprises of two identical resonators excited by a common feedline and to achieve differential sensing, one of the resonators is loaded with a sample while the other is taken as the reference. Unlike other split ring resonator sensors, the proposed sensor provides a distributed high concentration of electric field around its whole perimeter thereby increasing the sensitivity. The sensor is validated in both simulation and experimentation, and we have obtained a very high normalized sensitivity of 4.66 % for the widest range of dielectric constant 1–80.4, which is among the highest reported thus far. The sensor shows a maximum error of 3.82 % in determining the complex permittivity of unknown liquids which signifies its accuracy and applicability. The proposed sensor also possesses the additional advantage of differential sensing to minimize additional measurement errors. [Display omitted] • IDC-SRR based frequency splitting differential microwave sensor has been designed and fabricated. • Liquids with a wide range of dielectric constants have beenselected to validate the sensor's performance. • The sensor delivers the highest sensitivity over the range considered. • The sensor exhibits excellent temperature suppression ability and consistent sensing behavior. • The sensor successfully predicted the dielectric constant of unknown samples with high accuracy. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:This work presents an interdigitated capacitor split ring resonator based frequency splitting differential microwave sensor for complete dielectric characterization of organic liquid samples over a wide permittivity range. The proposed sensor comprises of two identical resonators excited by a common feedline and to achieve differential sensing, one of the resonators is loaded with a sample while the other is taken as the reference. Unlike other split ring resonator sensors, the proposed sensor provides a distributed high concentration of electric field around its whole perimeter thereby increasing the sensitivity. The sensor is validated in both simulation and experimentation, and we have obtained a very high normalized sensitivity of 4.66 % for the widest range of dielectric constant 1–80.4, which is among the highest reported thus far. The sensor shows a maximum error of 3.82 % in determining the complex permittivity of unknown liquids which signifies its accuracy and applicability. The proposed sensor also possesses the additional advantage of differential sensing to minimize additional measurement errors. [Display omitted] • IDC-SRR based frequency splitting differential microwave sensor has been designed and fabricated. • Liquids with a wide range of dielectric constants have beenselected to validate the sensor's performance. • The sensor delivers the highest sensitivity over the range considered. • The sensor exhibits excellent temperature suppression ability and consistent sensing behavior. • The sensor successfully predicted the dielectric constant of unknown samples with high accuracy. [ABSTRACT FROM AUTHOR]
ISSN:09244247
DOI:10.1016/j.sna.2024.116127