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Photonic Crystal Grating Resonance and Interfaces for Health Diagnostic Technologies
Seemesh Bhaskar1,2,3, Weijing Wang2,4, Hankeun Lee1,2
1Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
Chemical Reviews
|July 9, 2025
Summary
Photonic crystal grating resonance (PCGR) technologies offer advanced early diagnostics for infectious diseases. This review covers PCGR principles, applications in biosensing, and future opportunities for improved disease detection.
Area of Science:
- Photonics and Plasmonics
- Biosensing Technologies
- Nanotechnology
Background:
- Photonic crystal grating resonance (PCGR) technologies have evolved significantly since the early 1900s.
- These platforms integrate plasmonic, photonic, and hybrid photoplasmonic principles for enhanced sensing capabilities.
- Recent advancements focus on hybrid substrates combining PCGR with plasmonic films and dielectric mirrors.
Purpose of the Study:
- To provide a comprehensive review of PCGR technologies for early diagnostics.
- To discuss the fundamental principles, fabrication, properties, and applications of PCGR-based platforms.
- To analyze the strengths, limitations, and future scope of PCGR in biosensing.
Main Methods:
- Review of historical perspectives and literature from the past 25 years.
- Analysis of grating-based photonic crystal (PC) interfaces and hybrid substrates.
- Discussion of case studies involving sensing of diverse bioanalytes (microRNA, proteins, lipids).
Main Results:
- PCGR substrates demonstrate versatility in sensing various bioanalytes.
- Applications like PRAM, PRISM, and PCEF highlight the impact of PCGR in biosensing.
- Integration with smartphone-based detection enhances accessibility and convenience.
Conclusions:
- PCGR technologies represent a significant advancement in early infectious disease diagnostics.
- The review offers insights into the current state, challenges, and future prospects of PCGR.
- PCGR platforms show great potential for transformative impact in the biosensing field.
