<p>Photonic crystal fibers (PCFs) have become a powerful optical platform for biomedical sensing due to their tunable microstructured geometry, enhanced light matter interaction, and broadband operation from the visible to the terahertz regime. This review critically examines recent progress in PCF-based biosensors, with emphasis on optical design strategies employing solid, hollow, and porous cores and their influence on sensing performance. Key figures of merit including relative sensitivity, confinement loss, effective material loss, and mode area are systematically compared across different architectures to assess their practical sensing capabilities. Rather than providing a purely descriptive survey, this work highlights design trade-offs, fabrication constraints, and limitations that currently hinder clinical translation, including complexity, loss mechanisms, and multi-parameter optimization challenges. Multi-wavelength sensing approaches and their implications for enhanced detection accuracy are also evaluated.</p>

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Next-generation biomedical diagnostics using photonic crystal fibers: a critical review

  • Omar E. Khedr,
  • Amany M. Ahmed,
  • Nazmi. A. Mohammed,
  • El-Sayed M. El-Rabaie

摘要

Photonic crystal fibers (PCFs) have become a powerful optical platform for biomedical sensing due to their tunable microstructured geometry, enhanced light matter interaction, and broadband operation from the visible to the terahertz regime. This review critically examines recent progress in PCF-based biosensors, with emphasis on optical design strategies employing solid, hollow, and porous cores and their influence on sensing performance. Key figures of merit including relative sensitivity, confinement loss, effective material loss, and mode area are systematically compared across different architectures to assess their practical sensing capabilities. Rather than providing a purely descriptive survey, this work highlights design trade-offs, fabrication constraints, and limitations that currently hinder clinical translation, including complexity, loss mechanisms, and multi-parameter optimization challenges. Multi-wavelength sensing approaches and their implications for enhanced detection accuracy are also evaluated.