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March 4, 2026Sensors2 citationsOpen Access

Advances in Photonic Gas Sensors Operating in the VIS–NIR Spectrum: Structures, Materials, and Performance

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NRNourhan H. RasheedXLXun LiMBM. H. Bakr

Key Points

  • The aim is to evaluate the advancements in photonic gas sensors and their capabilities for hazardous gas monitoring.
  • Comprehensive overview of PIC-based gas sensors
  • Analysis of resonance-based and absorption-based sensing techniques
  • Comparison of different material platforms and device topologies
  • Performance benchmarking focusing on limit of detection
  • Identified limitations of traditional gas sensing methods
  • Highlighted various material platforms like silicon, polymers, and 2D materials
  • Provided insights into the performance of different sensor designs
  • Discussed the transformative role of AI in sensor technology

Abstract

The growing need for real-time, accurate monitoring of hazardous gases in environmental, industrial, and healthcare settings has highlighted the limitations of traditional sensing methods. Photonic Integrated Circuits (PICs) have become a revolutionary platform due to their high sensitivity, accurate selectivity, compact size and cost-effectiveness. We present in this work a comprehensive overview of the best-reported PIC-based gas sensors. We discuss the basic concepts behind resonance-based and absorption-based sensing. A detailed overview of the various material platforms, from well-known silicon and silicon nitride to new polymers, chalcogenide glasses, and 2D materials, is presented. A comparison of key device topologies, such as waveguides, microring resonators, Mach–Zehnder interferometers, and metasurfaces, is conducted, with performance benchmarks indicating the limit of detection (LoD). The main limitations of PIC sensors are discussed in this review. We also discuss promising technologies, especially the game-changing potential of artificial intelligence to create fully autonomous devices.

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Cite This Study

Rasheed et al. (2026) studied this question.

synapsesocial.com/papers/69a7cdaed48f933b5eeda4aahttps://doi.org/10.3390/s26051568
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