Solvent-Based Optimization of CSRR and IDC RF Bio-Sensors

Kunal Wadhwani, Sheena Hussaini, Annesha Mazumder, Azeemuddin Syed

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Complementary Split Ring Resonators (CSRR) and Inter-Digitated Capacitors (IDC) based RF sensors have been ubiquitously optimized assuming empty cavities. However, in bio-sensing applications, most of the samples are dissolved in respective solvents. As a result, designing sensors based on specific solvent-filled cavities is the optimal approach for future RF bio-sensors. This paper presents the application of Binary Particle Swarm Optimization (BPSO) technique for maximizing the sensitivity of CSRR and IDC sensors. BPSO optimizes the designs by cell patterning the sensing region in the presence of phosphate buffer as a solvent. An enhancement of 47.38\times for the CSRR and 2.03\times for the IDC in the detection of L-Lysine at frequencies 2.18 GHz and 0.72 GHz respectively has been achieved, when compared to sensitivities of their traditional counterparts. Promising results have also been observed in the detection of sucrose and glucose, making it a suitable contender for optimization of next-generation RF bio-sensors.

Original languageEnglish (US)
Pages (from-to)5651-5661
Number of pages11
JournalIEEE Sensors Journal
Volume22
Issue number6
DOIs
StatePublished - Mar 15 2022

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Electrical and Electronic Engineering

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