Year: 2025
Type: article
Abstract: Integrated photonic sensors have attracted significant attention recently for their potential for high-density integration. However, they face challenges in sensing gases with high sensitivity due to weak light-gas interaction. Slow light, which dramatically intensifies light-matter interaction through spatial compression of optical energy, provides a promising solution. Herein, we demonstrate a dual slow-light scheme for enhancing the sensitivity of photothermal spectroscopy (PTS) with a suspended photonic crystal waveguide (PhCW) on a CMOS-compatible silicon platform. By tailoring the dispersion of the PhCW to generate structural slow light to enhance pump absorption and probe phase modulation, we achieve a photothermal efficiency of 3.6 × 10−4 rad·cm·ppm−1 · mW−1 · m−1, over 1 − 3 orders of magnitude higher than the strip waveguides and optical fibers. With a 1-mm-long sensing PhCW incorporated in a stabilized on-chip Mach-Zehnder interferometer with a footprint of 0.6 mm2, we demonstrate acetylene detection with a sensitivity of 1.4 × 10−6 in terms of noise-equivalent absorption and length product (NEA · L), the best among the reported photonic waveguide gas sensors to our knowledge. The dual slow-light enhanced PTS paves the way for integrated photonic gas sensors with high sensitivity, miniaturization, and cost-effective mass production. Integrated photonic sensors offer compactness but face challenges in high-sensitivity gas detection. The authors present a dual slow-light scheme to enhance the sensitivity of photothermal spectroscopy using a suspended photonic crystal silicon chip.
Source: Nature Communications
Authors: Kaiyuan Zheng, Zihang Peng, Hanyu Liao, Yijun Huang, Haihong Bao, Shuangxiang Zhao, Yu Zhang, Chuantao Zheng, Yiding Wang, Wei Jin
Language: English
Topic: Photonic and Optical Devices
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $6,990
Awards: G2415241208, G5662331024, G8030360436
OpenAlex ID: W4416161368
