Mid-infrared integrated photonics for non-invasive and real-time breath biomarker detection (Conference Presentation)

Pao T. Lin

doi:10.1117/12.2659237

17 March 2023 Mid-infrared integrated photonics for non-invasive and real-time breath biomarker detection (Conference Presentation)

Pao T. Lin

Author Affiliations +

Proceedings Volume PC12397, Frontiers in Biological Detection: From Nanosensors to Systems XV; PC1239702 (2023) https://doi.org/10.1117/12.2659237
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

Miniaturized mid-Infrared (mid-IR) spectrometers using integrated photonics and machine learning (ML) were developed to detect the volatile organic compounds (VOCs). The chip-scale spectrometer consisted of an array of microring resonators, where the distributed resonance lines were precise aligned with the VOC characteristic absorption bands. ML technique was implemented in the mid-IR wavelength selection model to improve the spectral efficiency and prevent the spectral crosstalk. To further improve the sensitivity and specificity, the devices surface was functionalized by nano-texturized materials with enhanced molecular affinity and porosity. Our AI enabled mid-IR sensor is essential for remote breath monitoring and point-of-care (POC) diagnostics.

Conference Presentation

Citation Download Citation

Pao T. Lin "Mid-infrared integrated photonics for non-invasive and real-time breath biomarker detection (Conference Presentation)", Proc. SPIE PC12397, Frontiers in Biological Detection: From Nanosensors to Systems XV, PC1239702 (17 March 2023); https://doi.org/10.1117/12.2659237

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