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Silicon photonics is rapidly emerging as a promising platform for next-generation biosensing due to its high sensitivity, compact size, and ability to enable real-time, label-free detection. This project focuses on enhancing the performance of silicon photonic waveguides to improve glucose sensing—an essential application for diabetes management and biomedical diagnostics. By leveraging the strong evanescent field interaction in these waveguides, even minute changes in glucose concentration within aqueous solutions can be detected with precision. To achieve this, we will optimize the waveguide design to maximize sensitivity while minimizing propagation losses, ensuring greater efficiency in the final biosensing device. Our approach involves a systematic study of different waveguide geometries, including strip, rib, and slot configurations, to determine the most effective structure for glucose detection. Key design parameters such as waveguide width, height, refractive index contrast, and operating wavelength will be thoroughly analyzed. Using numerical simulations— particularly eigenmode solver techniques—we will evaluate how these factors influence evanescent field penetration depth, lightmatter interaction strength, and overall sensor response. Additionally, we will explore the integration of functionalized sensing layers, such as polymer coatings or plasmonic nanostructures, to enhance the specificity and selectivity of glucose detection. Through this research, we aim to develop a highly efficient and reliable silicon photonic biosensor for advanced medical diagnostics.
Keywords:
waveguide width, waveguide height, refractive index contrast, working wavelength
Cite Article:
"OPTIMIZATION OF SILICON PHOTONICS WAVEGUIDE STRUCTURE FOR GLUCOSE SENSING ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.a1-a6, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504001.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator