Broadband on‐chip spectral sensing via directly integrated narrowband plasmonic filters for computational multispectral imaging

Spectroscopy underpins a wide range of applications, including biomedical diagnostics, precision agriculture, remote sensing, and industrial process control. Recent advances in silicon and microwave photonic integration have facilitated the miniaturization of spectroscopic systems, enabling portable, real-time analysis. However, the realization of a chip-scale platform that simultaneously achieves broadband coverage, high resolution, and scalable low-cost fabrication - particularly in the near-infrared (NIR) regime - remains a significant challenge. Here, we present a compact and cost-effective NIR spectroscopic sensing chip that monolithically integrates a plasmonic bandpass filter array with InGaAs photodetectors. The device is fabricated via single-step lithography and features a nanohole array with geometrically tunable narrowband transmission spanning 900-1,700 nm, exhibiting a full width at half maximum (FWHM) of 5.0 nm and a peak <i>Q</i>-factor of ∼284. The plasmonic filters are directly integrated with the detectors through a SiN <sub><i>x</i></sub> spacer layer, eliminating post-fabrication alignment and enhancing scalability. A 16-channel super-pixel layout, combined with computational spectral reconstruction, enables ∼1 nm resolution near 1,550 nm and supports high-fidelity spectral imaging. This work demonstrates a scalable, detector-compatible approach to on-chip NIR spectroscopy, offering a promising route toward deployable, compact spectral sensing platforms.

Authors

Institutions

Publication Details

Journal
Nanophotonics
Published
2025-11-10
DOI
https://doi.org/10.1515/nanoph-2025-0398
Citations
1
Primary Topic
Plasmonic and Surface Plasmon Research
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Broadband on‐chip spectral sensing via directly integrated narrowband plasmonic filters for computational multispectral imaging

Luyang Tong, Shengdong Zhang, Shuhua Yang, Xiaobo He et al.
1 citations
Nanophotonics
Plasmonic and Surface Plasmon Research
0.67
article

Broadband on‐chip spectral sensing via directly integrated narrowband plasmonic filters for computational multispectral imaging

Luyang Tong, Shengdong Zhang, Shuhua Yang, Xiaobo He, Bintong Huang, Jibo Tang, Liang Li, Wenqiang Wang, Qilin Zheng
article en
1 citations

Abstract

Spectroscopy underpins a wide range of applications, including biomedical diagnostics, precision agriculture, remote sensing, and industrial process control. Recent advances in silicon and microwave photonic integration have facilitated the miniaturization of spectroscopic systems, enabling portable, real-time analysis. However, the realization of a chip-scale platform that simultaneously achieves broadband coverage, high resolution, and scalable low-cost fabrication - particularly in the near-infrared (NIR) regime - remains a significant challenge. Here, we present a compact and cost-effective NIR spectroscopic sensing chip that monolithically integrates a plasmonic bandpass filter array with InGaAs photodetectors. The device is fabricated via single-step lithography and features a nanohole array with geometrically tunable narrowband transmission spanning 900-1,700 nm, exhibiting a full width at half maximum (FWHM) of 5.0 nm and a peak <i>Q</i>-factor of ∼284. The plasmonic filters are directly integrated with the detectors through a SiN <sub><i>x</i></sub> spacer layer, eliminating post-fabrication alignment and enhancing scalability. A 16-channel super-pixel layout, combined with computational spectral reconstruction, enables ∼1 nm resolution near 1,550 nm and supports high-fidelity spectral imaging. This work demonstrates a scalable, detector-compatible approach to on-chip NIR spectroscopy, offering a promising route toward deployable, compact spectral sensing platforms.

NanophotonicsVol. 14(27)
Foshan University (CN), Shaoxing University (CN), Henan Academy of Sciences (CN)
Openalex Percentile: Top 24%
Plasmonic and Surface Plasmon Research
0.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.