Polymer‐Based Multiparameter Sensing Integrated Photonic Chip for Health Monitoring

Optical sensors are essential in medical diagnostics and detect variations in light intensity, phase, wavelength, polarization, or interference. However, conventional devices face limitations in multiplexing capability, surface functionalization, and integration. Here, we propose a monolithic integrated poly(dimethylsiloxane) (PDMS)/poly(methyl methacrylate) (PMMA) photonic chip that monolithically integrates two photonic waveguide Bragg grating (WBG) blood glucose sensors, a photonic WBG pressure sensor array, four photonic WBG temperature sensors, a photonic Mach-Zehnder modulator (MZM) electrocardiogram (ECG) sensor, and a photonic Mach-Zehnder interferometer (MZI) sweat glucose sensor, together with an on-chip arrayed waveguide grating (AWG) demodulation unit. The experimental results demonstrate that the WBG glucose sensor operates stably from 0 to 2.3 mg/mL, the pressure sensor from 0 to 12 kPa, and the temperature sensor from 35 to 41°C. The MZM ECG sensor achieves a half-wave voltage of 1.6 V, with performance comparable to that of commercial systems. The MZI sweat glucose sensor offers a detection range of 0-0.2 mg/mL, a sensitivity of approximately 9.3595 mW/(mg/mL), and high linearity. With a miniature footprint of approximately 1 cm × 0.5 cm, this work offers a robust on-chip multiparameter sensing solution, paving the way for next-generation wearable continuous health monitoring.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2026-06-12
DOI
https://doi.org/10.1002/advs.76123
Primary Topic
Photonic and Optical Devices
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Polymer‐Based Multiparameter Sensing Integrated Photonic Chip for Health Monitoring

李恩邦, Ziying Niu, Francisco Hernández-Ramírez, Li Zhang et al.
Advanced Science
Photonic and Optical Devices
article

Polymer‐Based Multiparameter Sensing Integrated Photonic Chip for Health Monitoring

李恩邦, Ziying Niu, Francisco Hernández-Ramírez, Li Zhang, Hongqiang Li, Lu Cao, Mingjun Ding, Ming Han, Xiaolin Li, Dongyang Liu, Xin Liu, Liyuan Yang
article en

Abstract

Optical sensors are essential in medical diagnostics and detect variations in light intensity, phase, wavelength, polarization, or interference. However, conventional devices face limitations in multiplexing capability, surface functionalization, and integration. Here, we propose a monolithic integrated poly(dimethylsiloxane) (PDMS)/poly(methyl methacrylate) (PMMA) photonic chip that monolithically integrates two photonic waveguide Bragg grating (WBG) blood glucose sensors, a photonic WBG pressure sensor array, four photonic WBG temperature sensors, a photonic Mach-Zehnder modulator (MZM) electrocardiogram (ECG) sensor, and a photonic Mach-Zehnder interferometer (MZI) sweat glucose sensor, together with an on-chip arrayed waveguide grating (AWG) demodulation unit. The experimental results demonstrate that the WBG glucose sensor operates stably from 0 to 2.3 mg/mL, the pressure sensor from 0 to 12 kPa, and the temperature sensor from 35 to 41°C. The MZM ECG sensor achieves a half-wave voltage of 1.6 V, with performance comparable to that of commercial systems. The MZI sweat glucose sensor offers a detection range of 0-0.2 mg/mL, a sensitivity of approximately 9.3595 mW/(mg/mL), and high linearity. With a miniature footprint of approximately 1 cm × 0.5 cm, this work offers a robust on-chip multiparameter sensing solution, paving the way for next-generation wearable continuous health monitoring.

Advanced Science
Tianjin University (CN), Shaoxing University (CN), Tiangong University (CN), University of Wollongong (AU), Worldsensing (Spain) (ES), Tianjin Chest Hospital (CN), Universitat de Barcelona (ES)
National Natural Science Foundation of China
Openalex Percentile: Top 9%
Photonic and Optical Devices
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.