Design and Application of the CSRR-Based Planar Sensor for Noninvasive Measurement of Complex Permittivity

• Published in: IEEE sensors journal Vol. 15; no. 12; pp. 7181 - 7189
• Main Authors: Ansari, Mohammad Arif Hussain, Jha, Abhishek Kumar, Akhtar, Mohammad Jaleel
• Format: Journal Article
• Language: English
• Published: IEEE 01.12.2015
• Subjects: Complementary split ring resonator (CSRR); Complex permittivity; Computer simulation; Dielectric constant; Electric fields; Magnetic fields; Mathematical models; non-Invasive measurement; Permittivity; Permittivity measurement; planar sensor; Polytetrafluoroethylenes; Polyvinyl chlorides; Q-factor; Resonant frequency; Sensors; Wood; non-invasive measurement; complex permittivity; resonant frequency; Complementary split ring resonator (CSRR); planar sensor
• ISSN: 1530-437X; 1558-1748
• DOI: 10.1109/JSEN.2015.2469683

A novel microwave noninvasive planar sensor based on the complementary split ring resonator (CSRR) is proposed for an accurate measurement of the complex permittivity of materials. The CSRR is etched in the ground plane of the planar microstrip line. Two CSRRs of rectangular and circular cross-sections are chosen for the sensitivity analysis, where the later is found to possess higher sensitivity and hence appears to be more appropriate for the sensor design. At resonance, the electric field induced along the plane of CSRR is found to be quite sensitive for the characterization of specimen kept in contact with the sensor. A numerical model is developed here for the calculation of the complex permittivity as a function of resonant frequency and the quality factor data using the electromagnetic simulator, the Computer Simulation Technology. For practical applications, a detailed air gap analysis is carried out to consider the effect of any air gap present between the test sample and the CSRR. The designed sensor is fabricated and tested, and accordingly the numerically established relations are experimentally verified for various reference samples e.g., teflon, polyvinyl chloride, plexiglas, polyethylene, rubber, and wood. Experimentally, it is found that the permittivity measurement using the proposed sensor is possible with a typical error of 3%.