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Performance Evaluation of Refractive Index Biosensor in THz Regime for Clinical Applications: A Simulation Approach

  • Anna University
  • Al Jouf University
  • Saveetha Institute of Medical and Technical Sciences (Deemed to be University)
  • Daffodil lnternational University
  • University of Jordan

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In this manuscript, a novel innovative HC-PCF sensor model in THz regime is introduced integrated with an optimization approach. The suggested sensor architecture provides crucial advantages precise identification of healthy and ill tissues in healthcare industry. The HC-PCF, meticulously constructed with specific dimensions, significantly increases the sensor sensitivity and specificity to 99.37% and 99.75% respectively. Healthcare industries are at the core of investigations and are undoubtedly crucial to modernize the prognosis procedures. It is a discipline that is continually expanding and searching for new approaches to raise the standard for efficacy, sensitivity, and accuracy. Recently, THz PCF has emerged with incredible potential in all the areas of biomedical applications. The importance in using THz sensors in this research is to detect the ill tissues, an important component in the categorizing diabetes. The integrated sensor architecture provides higher level of sensitivity, with a confinement loss of 0.05 in 0.23 s processing time for a RI range of 1.28-1.39. This research highlights the capability of combining PCF with optimization to improvise the healthcare industry, offering an economical and efficient diagnostic solution across the fields.

Original languageEnglish
Article number107005
JournalECS Journal of Solid State Science and Technology
Volume13
Issue number10
DOIs
StatePublished - Oct 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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