Screening and diagnosis of respiratory diseases using metamaterial based sensitive terahertz impedance spectroscopy

Rudrarup Sengupta, Heena Khand, Gabby Sarusi

Research output: Contribution to journalArticlepeer-review


Utilizing LC resonant metamaterials (MM) for terahertz (THz) impedance spectroscopy has opened new avenues for detection of biomolecules and nanoparticles. A recent revelation highlights the pivotal role of coupling between MM resonance and Fabry-Pérot (FP) oscillations of the substrate. This interaction significantly influences the observed spectral shift (ΔF), thereby enhancing the overall sensitivity. In this work, we utilize the FP-MM optical decoupling physics for sensitivity enhancement to detect bio-particles at extremely low concentrations, thereby overcoming the particle detection limit. After implementing these innovations, we discovered that this technology can be leveraged to detect and screen patients infected with the omicron variant of SARS-CoV-2 and other lung related diseases using exhaled breath from patients. Upon achieving excellent agreement between simulations and experimental spectroscopic data, we have successfully detected and screened multiple respiratory-related diseases from the exhaled breath collected on the metasurface in a breathalyzer configuration. We obtained significant ΔF even with ultra-low concentrations of bio-particles and demarcated the ranges of ΔF for different lung diseases that do no overlap and are not constrained by any limit of detection. This work reveals new prospects for diagnosis and screening of multiple respiratory-related diseases with a single and prompt breath test.

Original languageAmerican English
Article number100639
JournalSensing and Bio-Sensing Research
StatePublished - 1 Jun 2024


  • Fabry-Pérot metamaterial resonance coupling
  • Metamaterials at THz
  • SARS-CoV-2 prompt test
  • Sensitivity enhancement
  • Spectral shift at THz
  • THz spectroscopy

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Electronic, Optical and Magnetic Materials
  • Signal Processing
  • Electrical and Electronic Engineering


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