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Wearable Optical Fiber SERS Sensor Based on a Flexible "Hydrogel Tentacle" for Sweat Remote and In Situ Detection
Chen Shi1, Xinghua Yang1, Zhihai Liu1
1Key Laboratory of In-Fiber Integrated Optics, Ministry of Education, Harbin Engineering University, Harbin 150001, P. R. China.
ACS Sensors
|March 13, 2026
Summary
A novel flexible hydrogel tentacle optical fiber (HTOF) SERS sensor enables remote sweat analysis. This wearable device integrates sampling and detection, achieving high sensitivity and accuracy for health monitoring.
Area of Science:
- Analytical Chemistry
- Materials Science
- Biomedical Engineering
Background:
- Wearable surface-enhanced Raman spectroscopy (SERS) sensors offer potential for sweat analysis but struggle with integrated sampling, sensing, and remote detection.
- Existing systems often lack the flexibility and robustness required for continuous, in situ monitoring in wearable applications.
Purpose of the Study:
- To develop a flexible "hydrogel tentacle" optical fiber (HTOF) SERS sensor for remote, in situ analysis of analytes in sweat.
- To create an integrated system combining sampling, sensing, and detection for wearable health monitoring.
Main Methods:
- Fabrication of a flexible hydrogel tentacle (HT) SERS substrate by in situ crosslinking a water-absorbent hydrogel with Ca2+ at an optical fiber tip.
- Utilizing the optical fiber to transmit light coupled into the HT for direct analyte sampling and SERS detection.
- Performance evaluation using 4-mercaptopyridine (4-Mpy) and application in semiquantitative recognition of sweat biomarkers with a 1D-CNN model.
Main Results:
- Achieved a high enhancement factor (EF) of 9.44 × 10^10 and a low limit of detection (LOD) of 8.69 × 10^-11 M for 4-Mpy.
- Demonstrated excellent sensor stability with 95.24% SERS activity retention after 40 days and low batch-to-batch variability (RSD of 2.64%).
- Achieved up to 91.05% accuracy in semiquantitative recognition of uric acid, creatinine, and urea using a 1D-CNN model.
Conclusions:
- The flexible HTOF SERS sensor offers a promising platform for wearable, remote, and in situ sweat analysis.
- The sensor exhibits high sensitivity, stability, and flexibility, suitable for integration into wearable devices.
- The developed system shows significant potential for non-invasive kidney disease assessment and continuous health monitoring.

